yung-ho Chiu

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

1. Teng, Xiangyu & Liu, Fan-peng & Chang, Tzu-han & Chiu, Yung-ho, 2023. "Measuring China’s energy efficiency by considering forest carbon sequestration and applying a meta dynamic non-radial directional distance function," Energy, Elsevier, vol. 263(PC).

   Cited by:

   1. Haiyang Shang & Ying Feng & Ching-Cheng Lu & Chih-Yu Yang, 2023. "The Impact of Optimizing Industrial Energy Efficiency on Agricultural Development in OECD Countries," Sustainability, MDPI, vol. 15(7), pages 1-17, March.

2. Pang, Qinghua & Dong, Xianwei & Zhang, Lina & Chiu, Yung-ho, 2023. "Drivers and key pathways of the household energy consumption in the Yangtze river economic belt," Energy, Elsevier, vol. 262(PA).

   Cited by:

   1. Xiaowei Fan & Yongtao Chen & Ruimiao Wang & Jiaxin Luo & Jingang Wang & Decheng Cao, 2023. "Integrated Energy Microgrid Economic Dispatch Optimization Model Based on Information-Gap Decision Theory," Energies, MDPI, vol. 16(8), pages 1-24, April.
   2. Guo, Ji & Xu, Yuanjing & Qu, Yao & Wang, Yiting & Wu, Xianhua, 2023. "Exploring factors affecting household energy consumption in the internet era: Empirical evidence from Chinese households," Energy Policy, Elsevier, vol. 183(C).

3. Qian Wang & Zhuoya Du & Boyu Wang & Yung‐ho Chiu & Tzu‐Han Chang, 2022. "Environmental regulation and foreign direct investment attractiveness: Evidence from China provinces," Review of Development Economics, Wiley Blackwell, vol. 26(2), pages 899-917, May.

   Cited by:

   1. Qunfang Xu & Kairui Cao & Jiaying Dai & Yuanyuan Zhu & Yue Dai, 2023. "Nonlinear Effects of Eco-Industrial Parks on Sulfur Dioxide and Carbon Dioxide Emissions—Estimation Based on Nonlinear DID," Sustainability, MDPI, vol. 15(3), pages 1-19, January.
   2. Thi-Nham Le & Thanh-Tuan Dang, 2022. "An Integrated Approach for Evaluating the Efficiency of FDI Attractiveness: Evidence from Vietnamese Provincial Data from 2012 to 2022," Sustainability, MDPI, vol. 14(20), pages 1-25, October.

4. Yung‐ho Chiu & Kuei‐Ying Huang & Tai‐Yu Lin & Tzu‐Han Chang, 2022. "Government debt and fiscal execution efficiency," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(1), pages 111-128, January.

   Cited by:

   1. Yu-Chuan Chen & Yung-Ho Chiu & Tzu-Han Chang & Tai-Yu Lin, 2023. "Sustainable Development, Government Efficiency, and People’s Happiness," Journal of Happiness Studies, Springer, vol. 24(4), pages 1549-1578, April.
   2. Stefan Craß & Alexander Eisl & Nedim Begic & Romana Polt, 2022. "Die Rolle moderner Technologien, insbesondere Blockchain, in der Lieferkettenverantwortung," FIW Research Reports series VIII-006, FIW.

5. Liang Chun Lu & Yung-ho Chiu & Shih-Yung Chiu & Tzu-Han Chang, 2022. "Do Forests help environmental development of Cities in China?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6602-6629, May.

   Cited by:

   1. Haochang Yang & Xuan Zhu, 2022. "Research on Green Innovation Performance of Manufacturing Industry and Its Improvement Path in China," Sustainability, MDPI, vol. 14(13), pages 1-21, June.

6. Teng, Xiangyu & Liu, Fan-peng & Chiu, Yung-ho, 2021. "The change in energy and carbon emissions efficiency after afforestation in China by applying a modified dynamic SBM model," Energy, Elsevier, vol. 216(C).

   Cited by:

   1. Peng, Honggang & Xiao, Zhi & Wang, Jianqiang & Li, Jian, 2021. "A decision support framework for new energy selection in rural areas from the perspectives of information reliability and criterion non-compensation," Energy, Elsevier, vol. 235(C).
   2. Ruijing Zheng & Yu Cheng & Haimeng Liu & Wei Chen & Xiaodong Chen & Yaping Wang, 2022. "The Spatiotemporal Distribution and Drivers of Urban Carbon Emission Efficiency: The Role of Technological Innovation," IJERPH, MDPI, vol. 19(15), pages 1-22, July.
   3. Pan Jiang & Mengyue Li & Yuting Zhao & Xiujuan Gong & Ruifeng Jin & Yuhan Zhang & Xue Li & Liang Liu, 2022. "Does Environmental Regulation Improve Carbon Emission Efficiency? Inspection of Panel Data from Inter-Provincial Provinces in China," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
   4. Li, Mengjie & Du, Weijian, 2021. "Can Internet development improve the energy efficiency of firms: Empirical evidence from China," Energy, Elsevier, vol. 237(C).
   5. Liang Chun Lu & Yung-ho Chiu & Shih-Yung Chiu & Tzu-Han Chang, 2022. "Do Forests help environmental development of Cities in China?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6602-6629, May.
   6. Fang, Tao & Fang, Debin & Yu, Bolin, 2022. "Carbon emission efficiency of thermal power generation in China: Empirical evidence from the micro-perspective of power plants," Energy Policy, Elsevier, vol. 165(C).
   7. Zhang, Wei & Liu, Xuemeng & Wang, Die & Zhou, Jianping, 2022. "Digital economy and carbon emission performance: Evidence at China's city level," Energy Policy, Elsevier, vol. 165(C).
   8. Wang, Jianda & Dong, Kangyin & Sha, Yezhou & Yan, Cheng, 2022. "Envisaging the carbon emissions efficiency of digitalization: The case of the internet economy for China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
   9. Luwei Wang & Yizhen Zhang & Qing Zhao & Chuantang Ren & Yu Fu & Tao Wang, 2023. "Horizontal CO 2 Compensation in the Yangtze River Delta Based on CO 2 Footprints and CO 2 Emissions Efficiency," IJERPH, MDPI, vol. 20(2), pages 1-23, January.
   10. Teng, Xiangyu & Liu, Fan-peng & Chang, Tzu-han & Chiu, Yung-ho, 2023. "Measuring China’s energy efficiency by considering forest carbon sequestration and applying a meta dynamic non-radial directional distance function," Energy, Elsevier, vol. 263(PC).
   11. Liu, Wan-Yu & Chiang, Yi-Hua & Lin, Chun-Cheng, 2022. "Adopting renewable energies to meet the carbon reduction target: Is forest carbon sequestration cheaper?," Energy, Elsevier, vol. 246(C).
   12. Mengyao Ci & Lu Ye & Changhao Liao & Li Yao & Zhiqin Tu & Qiao Xing & Xuguang Tang & Zhi Ding, 2023. "Long-Term Dynamics of Ecosystem Services and Their Influencing Factors in Ecologically Fragile Southwest China," Sustainability, MDPI, vol. 15(16), pages 1-22, August.

7. Liang-Han Ma & Jin-Chi Hsieh & Ying Li & Yung-Ho Chiu, 2021. "Evaluating Efficiency Change in Taiwan’s Financial Industry," SAGE Open, , vol. 11(2), pages 21582440211, April.

   Cited by:

   1. Gajdosikova Dominika & Valaskova Katarina, 2022. "The Impact of Firm Size on Corporate Indebtedness: A Case Study of Slovak Enterprises," Folia Oeconomica Stetinensia, Sciendo, vol. 22(1), pages 63-84, June.

8. Ying Li & Hongyi Cen & Tai-Yu Lin & Yung-ho Chiu, 2021. "Undesirable Epsilon-Based Model DEA Application for Chinese Natural Disaster Mitigation Efficiency," SAGE Open, , vol. 11(3), pages 21582440211, August.

   Cited by:

   1. Hui Zhang & Li-qi Tian & Shu-jing Long & Ruo-bing Li & Yenchun Jim Wu, 2023. "Tourist Rescue in Natural Disasters," SAGE Open, , vol. 13(4), pages 21582440231, December.
   2. Kaifeng Wang & Chunping Zhong & Lifeng Chen & Yunmin Zeng, 2023. "The spatial spillover effect of China’s pollutants emission trading pilot scheme on green efficiency: evidence from 285 China’s cities," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8137-8163, August.

9. Yongqi Feng & Haolin Zhang & Yung-ho Chiu & Tzu-Han Chang, 2021. "Innovation efficiency and the impact of the institutional quality: a cross-country analysis using the two-stage meta-frontier dynamic network DEA model," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3091-3129, April.

   Cited by:

   1. Panagiotis Mitropoulos & Alexandros Mitropoulos, 2023. "Evaluating efficiency and technology gaps of the national systems of entrepreneurship using stochastic DEA and club convergence," Operational Research, Springer, vol. 23(1), pages 1-28, March.
   2. Yi Ji & Hechang Cai & Zilong Wang, 2023. "Impact of Industrial Synergy on the Efficiency of Innovation Resource Allocation: Evidence from Chinese Metropolitan Areas," Land, MDPI, vol. 12(1), pages 1-16, January.
   3. Yu-Chuan Chen & Yung-Ho Chiu & Tzu-Han Chang & Tai-Yu Lin, 2023. "Sustainable Development, Government Efficiency, and People’s Happiness," Journal of Happiness Studies, Springer, vol. 24(4), pages 1549-1578, April.
   4. Zhang, Zhongqingyang & Zhu, Huiming & Zhou, Zhongbao & Zou, Kai, 2022. "How does innovation matter for sustainable performance? Evidence from small and medium-sized enterprises," Journal of Business Research, Elsevier, vol. 153(C), pages 251-265.
   5. Lim, Dong-Joon & Kim, Moon-Su, 2022. "Measuring dynamic efficiency with variable time lag effects," Omega, Elsevier, vol. 108(C).
   6. German Blanco & Rajeev K. Goel, 2023. "Do weak institutions undermine global innovation production efficiency?," The Journal of Technology Transfer, Springer, vol. 48(5), pages 1813-1838, October.
   7. Xueling Guan & Lijiang Chen & Qing Xia & Zhaohui Qin, 2022. "Innovation Efficiency of Chinese Pharmaceutical Manufacturing Industry from the Perspective of Innovation Ecosystem," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
   8. Yukun Shi & Duchun Wang & Zimeng Zhang, 2022. "Categorical Evaluation of Scientific Research Efficiency in Chinese Universities: Basic and Applied Research," Sustainability, MDPI, vol. 14(8), pages 1-16, April.

10. Bai, Xuejie & Jin, Zeng & Chiu, Yung-Ho, 2021. "Performance evaluation of China's railway passenger transportation sector," Research in Transportation Economics, Elsevier, vol. 90(C).

    Cited by:

    1. Ashraf Ud Din & Imran Ur Rahman & Alejandro Vega-Muñoz & Ehsan Elahi & Guido Salazar-Sepúlveda & Nicolás Contreras-Barraza & Rakan Radi Alhrahsheh, 2023. "How Sustainable Transportation Can Utilize Climate Change Technologies to Mitigate Climate Change," Sustainability, MDPI, vol. 15(12), pages 1-22, June.

11. Yung‐ho Chiu & Tai‐Yu Lin & Tzu‐Han Chang & Yi‐Nuo Lin & Shih‐Yung Chiu, 2021. "Prevaluating efficiency gains from potential mergers and acquisitions in the financial industry with the Resample Past–Present–Future data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(2), pages 369-384, March.

    Cited by:

    1. Chia-Nan Wang & Phi-Hung Nguyen & Thi-Ly Nguyen & Thi-Giang Nguyen & Duc-Thinh Nguyen & Thi-Hoai Tran & Hong-Cham Le & Huong-Thuy Phung, 2022. "A Two-Stage DEA Approach to Measure Operational Efficiency in Vietnam’s Port Industry," Mathematics, MDPI, vol. 10(9), pages 1-21, April.

12. Zhang, Lina & Gao, Wanting & Chiu, Yung-ho & Pang, Qinghua & Shi, Zhen & Guo, Zhiqin, 2021. "Environmental performance indicators of China's coal mining industry: A bootstrapping Malmquist index analysis," Resources Policy, Elsevier, vol. 71(C).

    Cited by:

    1. Li, Ying & Cen, Hongyi & Lin, Tai-Yu & Lin, Yi-Nuo & Chiu, Yung-Ho, 2022. "Sustainable coal mine and coal land development in China," Resources Policy, Elsevier, vol. 79(C).
    2. Cun Zhang & Xiaojie Wang & Shangxin Fang & Xutao Shi, 2022. "Construction and Application of VR-AR Teaching System in Coal-Based Energy Education," Sustainability, MDPI, vol. 14(23), pages 1-14, December.
    3. Yujian Jin & Lihong Yu & Yan Wang, 2022. "Green Total Factor Productivity and Its Saving Effect on the Green Factor in China’s Strategic Minerals Industry from 1998–2017," IJERPH, MDPI, vol. 19(22), pages 1-20, November.
    4. Zhao, Lu-Tao & Liu, Zhao-Ting & Cheng, Lei, 2021. "How will China's coal industry develop in the future? A quantitative analysis with policy implications," Energy, Elsevier, vol. 235(C).
    5. O.A. Chernova, 2021. "Relative Break-Even as a Determinant of the Dynamic Balance of the Russian Coal Industry," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 20(2), pages 194-216.
    6. Xuefeng Zheng & Xiufan Zhang & Decheng Fan, 2023. "Research on the Coordinated Development of Innovation Ability and Regional Integration in Guangdong–Hong Kong–Macao Greater Bay Area," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    7. Zhang, Rui & Qie, Xiaotong & Hu, Yanyong & Chen, Xue, 2022. "Does de-capacity policy promote the efficient and green development of the coal industry? –Based on the evidence of China," Resources Policy, Elsevier, vol. 77(C).

13. Shi, Zhen & She, Zhiyu & Chiu, Yung-ho & Qin, Shijiong & Zhang, Lina, 2021. "Assessment and improvement analysis of economic production, water pollution, and sewage treatment efficiency in China," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).

    Cited by:

    1. Kou, Po & Han, Ying & Qi, Xiaoyuan, 2022. "The operational mechanism and effectiveness of China's central environmental protection inspection: Evidence from air pollution," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    2. Veronika Vaseková, 2022. "How do people in China perceive water? From health threat perception to environmental policy change," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 12(3), pages 627-645, September.
    3. Ling Yang & Lin Wang, 2022. "An Improved Emergy Analysis of the Environmental and Economic Benefits of Reclaimed Water Reuse System," Sustainability, MDPI, vol. 14(9), pages 1-12, April.

14. Chiu, Yung-ho & Huang, Kuei-Ying & Chang, Tzu-Han & Lin, Tai-Yu, 2021. "Efficiency assessment of coal mine use and land restoration: Considering climate change and income differences," Resources Policy, Elsevier, vol. 73(C).

    Cited by:

    1. Wang, Miao & Feng, Chao, 2023. "Measuring capacity utilization under the constraints of energy consumption and CO2 emissions using meta-frontier DEA: A case of China's non-ferrous metal industries," Resources Policy, Elsevier, vol. 80(C).
    2. Wei Xu & Jiahui Yi & Jinhua Cheng, 2022. "The Heterogeneity of High-Quality Economic Development in China’s Mining Cities: A Meta Frontier Function," IJERPH, MDPI, vol. 19(11), pages 1-23, May.

15. Xian‐Hui He & Yung‐ho Chiu & Tzu‐Han Chang & Liang‐Chun Lu & Shih‐Yung Chiu, 2021. "Analyzing hospital medical efficiency of administration and medical treatment in China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(6), pages 1564-1578, September.

    Cited by:

    1. Marwa Hasni & Safa Bhar Layeb & Najla Omrane Aissaoui & Aymen Mannai, 2022. "Hybrid model for a cross‐department efficiency evaluation in healthcare systems," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(5), pages 1311-1329, July.

16. Xiao-Ning Li & Ying Feng & Pei-Ying Wu & Yung-Ho Chiu, 2021. "An Analysis of Environmental Efficiency and Environmental Pollution Treatment Efficiency in China’s Industrial Sector," Sustainability, MDPI, vol. 13(5), pages 1-25, February.

    Cited by:

    1. Ning Zhang & Zichen Wang & Hongkai Ru & Haiyang Li, 2021. "Study on the Spatio–Temporal Evolution of China’s Smart Water Co-Governance in G–E–P Mode," IJERPH, MDPI, vol. 18(23), pages 1-25, November.
    2. Paul Mugambi & Miguel Blanco & Daniel Ogachi & Marcos Ferasso & Lydia Bares, 2021. "Analysis of the Regional Efficiency of European Funds in Spain from the Perspective of Renewable Energy Production: The Regional Dimension," IJERPH, MDPI, vol. 18(9), pages 1-16, April.
    3. Ricardo P. F. Ferrarez & Claudia G. B. do Valle & Jeferson C. Alvarenga & Fabricio da C. Dias & Diego A. Vasco & André L. A. Guedes & Christine K. Chinelli & Assed N. Haddad & Carlos A. P. Soares, 2023. "Key Practices for Incorporating Sustainability in Project Management from the Perspective of Brazilian Professionals," Sustainability, MDPI, vol. 15(11), pages 1-21, May.
    4. Svetlana Ratner & Andrey Lychev & Aleksei Rozhnov & Igor Lobanov, 2021. "Efficiency Evaluation of Regional Environmental Management Systems in Russia Using Data Envelopment Analysis," Mathematics, MDPI, vol. 9(18), pages 1-21, September.

17. Qian Wang & Jinbao Yang & Yung‐ho Chiu & Tai‐Yu Lin, 2020. "The impact of digital finance on financial efficiency," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(7), pages 1225-1236, October.

    Cited by:

    1. Jin, Laiqun & Dai, Jiaying & Jiang, Weijie & Cao, Kairui, 2023. "Digital finance and misallocation of resources among firms: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    2. Rui Ding & Siwei Shen & Yuqi Zhu & Linyu Du & Shihui Chen & Juan Liang & Kexing Wang & Wenqian Xiao & Yuxuan Hong, 2023. "Evolution, Forecasting, and Driving Mechanisms of the Digital Financial Network: Evidence from China," Sustainability, MDPI, vol. 15(22), pages 1-18, November.
    3. Deli Wang & Ke Peng & Kaiye Tang & Yewei Wu, 2022. "Does Fintech Development Enhance Corporate ESG Performance? Evidence from an Emerging Market," Sustainability, MDPI, vol. 14(24), pages 1-21, December.
    4. Zhao, Chunkai & Wang, Yuhang & Ge, Zhenyu, 2023. "Is digital finance environmentally friendly in China? Evidence from shared-bike trips," Transport Policy, Elsevier, vol. 138(C), pages 129-143.
    5. Srinivasu Bathula & Ankita Gupta, 2021. "The determinants of Financial Inclusion and Digital Financial Inclusion in India: A Comparative Study," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 13(2), pages 109-120, December.
    6. Geng Tian, 2022. "Influence of Digital Finance on Household Leverage Ratio from the Perspective of Consumption Effect and Income Effect," Sustainability, MDPI, vol. 14(23), pages 1-11, December.
    7. Hongyan Zhao & Wanteng Zheng & Irina Loutfoullina, 2022. "Digital Finance and Collaborative Innovation: Case Study of the Yangtze River Delta, China," Sustainability, MDPI, vol. 14(17), pages 1-15, August.
    8. Min Bai, 2022. "Rollover restrictions and the maturity mismatch between investment and enterprise financing," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(8), pages 3286-3300, December.

18. Xiangyu Teng & Liang Chun Lu & Yung-Ho Chiu, 2020. "How the European Union reaches the target of CO2 emissions under the Paris Agreement," European Planning Studies, Taylor & Francis Journals, vol. 28(9), pages 1836-1857, September.

    Cited by:

    1. Alfredo Cabezas-Ares & María Jesús Delgado-Rodríguez & Sonia de Lucas-Santos, 2020. "The Dynamics of Cyclical Convergence and Decoupling in the Environmental Performance of Spanish Regions," Sustainability, MDPI, vol. 12(20), pages 1-14, October.

19. Hsiang‐Hsi Liu & Jih‐Jeng Huang & Yung‐Ho Chiu, 2020. "Integration of network data envelopment analysis and decision‐making trial and evaluation laboratory for the performance evaluation of the financial holding companies in Taiwan," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(1), pages 64-78, January.

    Cited by:

    1. Kshitish Kumar Mohanta & Deena Sunil Sharanappa & Vishnu Narayan Mishra, 2023. "Neutrosophic data envelopment analysis based on the possibilistic mean approach," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 33(2), pages 81-98.
    2. Li‐Ting Yeh & Dong‐Shang Chang & Huei‐Min Li, 2022. "Developing a network data envelopment analysis model to measure the efficiency of banking with the governance, innovation, and operations," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(7), pages 2863-2874, October.
    3. Minh‐Anh Thi Nguyen & Ming‐Miin Yu, 2020. "Decomposing the operational efficiency of major cruise lines: A network data envelopment analysis approach in the presence of shared input and quasi‐fixed input," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(8), pages 1501-1516, December.

20. Zhen Shi & Huinan Huang & Yingju Wu & Yung-Ho Chiu & Shijiong Qin, 2020. "Climate Change Impacts on Agricultural Production and Crop Disaster Area in China," IJERPH, MDPI, vol. 17(13), pages 1-23, July.

    Cited by:

    1. Ziheng Feng & Liying Sun, 2024. "Water Conservation Implications Based on Tempo-Spatial Characteristics of Water Footprint in the Water-Receiving Areas of the South-to-North Water Diversion Project, China," Sustainability, MDPI, vol. 16(3), pages 1-18, February.
    2. Yichen Jiang & Fang He & Shihui Li & Hang Lu & Rouran Zhang, 2024. "Contemporary Urban Agriculture in European and Chinese Regions: A Social-Cultural Perspective," Land, MDPI, vol. 13(2), pages 1-25, January.
    3. Shulei Cheng & Yu Yu & Wei Fan & Chunxia Zhu, 2022. "Spatio-Temporal Variation and Decomposition Analysis of Livelihood Resilience of Rural Residents in China," IJERPH, MDPI, vol. 19(17), pages 1-25, August.
    4. Litao Feng & Wei Liu & Zhihui Zhao & Yining Wang, 2023. "Rainfall fluctuations and rural poverty: Evidence from Chinese county‐level data," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 31(3), pages 633-656, July.
    5. Liang Liu & Yuting Zhao & Xiujuan Gong & Shu Liu & Mengyue Li & Yirui Yang & Pan Jiang, 2023. "Threshold Effect of Environmental Regulation and Green Innovation Efficiency: From the Perspective of Chinese Fiscal Decentralization and Environmental Protection Inputs," IJERPH, MDPI, vol. 20(5), pages 1-17, February.
    6. Ayoub Al-Jawaldeh & Maya Nabhani & Mandy Taktouk & Lara Nasreddine, 2022. "Climate Change and Nutrition: Implications for the Eastern Mediterranean Region," IJERPH, MDPI, vol. 19(24), pages 1-27, December.
    7. Litao Feng & Zhuo Li & Zhihui Zhao, 2021. "Extreme Climate Shocks and Green Agricultural Development: Evidence from the 2008 Snow Disaster in China," IJERPH, MDPI, vol. 18(22), pages 1-22, November.
    8. Guang Chen & Yue Deng & Apurbo Sarkar & Zhengbing Wang, 2022. "An Integrated Assessment of Different Types of Environment-Friendly Technological Progress and Their Spatial Spillover Effects in the Chinese Agriculture Sector," Agriculture, MDPI, vol. 12(7), pages 1-24, July.

21. Zhen Shi & Yingju Wu & Yung-ho Chiu & Fengping Wu & Changfeng Shi, 2020. "Dynamic Linkages among Mining Production and Land Rehabilitation Efficiency in China," Land, MDPI, vol. 9(3), pages 1-25, March.

    Cited by:

    1. Li, Ying & Cen, Hongyi & Lin, Tai-Yu & Lin, Yi-Nuo & Chiu, Yung-Ho, 2022. "Sustainable coal mine and coal land development in China," Resources Policy, Elsevier, vol. 79(C).
    2. Katia Talento & Miguel Amado & José Carlos Kullberg, 2020. "Quarries: From Abandoned to Renewed Places," Land, MDPI, vol. 9(5), pages 1-21, May.

22. Xiangyu Teng & Fan‐peng Liu & Yung‐ho Chiu, 2020. "The impact of coal and non‐coal consumption on China's energy performance improvement," Natural Resources Forum, Blackwell Publishing, vol. 44(4), pages 334-352, November.

    Cited by:

    1. Teng, Xiangyu & Zhuang, Weiwei & Liu, Fan-peng & Chang, Tzu-han & Chiu, Yung-ho, 2023. "China's path of carbon neutralization to develop green energy and improve energy efficiency," Renewable Energy, Elsevier, vol. 206(C), pages 397-408.

23. Bai, Xuejie & Sun, Xianzhen & Chiu, Yung-Ho, 2020. "Does China's higher education investment play a role in industrial growth?," Technology in Society, Elsevier, vol. 63(C).

    Cited by:

    1. Jonek-Kowalska, Izabela & Musioł-Urbańczyk, Anna & Podgórska, Marzena & Wolny, Maciej, 2021. "Does motivation matter in evaluation of research institutions? Evidence from Polish public universities," Technology in Society, Elsevier, vol. 67(C).
    2. Andy Prasetyo Wati & Sheerad Sahid, 2022. "Factors Influencing Parents’ Awareness of Children’ Education Investment: A Systematic Review," Sustainability, MDPI, vol. 14(14), pages 1-13, July.
    3. Longgao Chen & Xiaoyan Yang & Long Li & Longqian Chen & Yu Zhang, 2021. "The Natural and Socioeconomic Influences on Land-Use Intensity: Evidence from China," Land, MDPI, vol. 10(11), pages 1-25, November.
    4. Zhang, Chonghui & Jiang, Nanyue & Su, Tiantian & Chen, Ji & Streimikiene, Dalia & Balezentis, Tomas, 2022. "Spreading knowledge and technology: Research efficiency at universities based on the three-stage MCDM-NRSDEA method with bootstrapping," Technology in Society, Elsevier, vol. 68(C).
    5. Zhao Li & Yujing Chu & Hang Fang, 2022. "Hierarchical Education Investment and Economic Growth in China," SAGE Open, , vol. 12(2), pages 21582440221, June.
    6. Zhao Li & Yujing Chu, 2023. "Is Hierarchical Education Investment Synergistic? Evidence from China’s Investment in General and Advanced Education," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 1522-1537, June.

24. Wen-jie Zou & Tai-Yu Lin & Yung-ho Chiu & Ting Teng & Kuei Ying Huang, 2020. "The Efficiency of Economic Performance, Electricity Consumption, and Environmental Pollutants in Taiwan," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-16, May.

    Cited by:

    1. Ruan, Fang-Li & Yan, Liang, 2022. "Interactions among electricity consumption, disposable income, wastewater discharge, and economic growth: Evidence from megacities in China from 1995 to 2018," Energy, Elsevier, vol. 260(C).

25. Haiyan Ma & Yung-ho Chiu & Xiaocong Tian & Juanjuan Zhang & Quan Guo, 2020. "Safety or Travel: Which Is More Important? The Impact of Disaster Events on Tourism," Sustainability, MDPI, vol. 12(7), pages 1-12, April.

    Cited by:

    1. Tiziana Campisi & Socrates Basbas & Anastasios Skoufas & Nurten Akgün & Dario Ticali & Giovanni Tesoriere, 2020. "The Impact of COVID-19 Pandemic on the Resilience of Sustainable Mobility in Sicily," Sustainability, MDPI, vol. 12(21), pages 1-24, October.
    2. Marija Bratić & Aleksandar Radivojević & Nenad Stojiljković & Olivera Simović & Emil Juvan & Miha Lesjak & Eva Podovšovnik, 2021. "Should I Stay or Should I Go? Tourists’ COVID-19 Risk Perception and Vacation Behavior Shift," Sustainability, MDPI, vol. 13(6), pages 1-19, March.
    3. Miroslav Rončák & Petr Scholz & Ivica Linderová, 2021. "Safety Concerns and Travel Behavior of Generation Z: Case Study from the Czech Republic," Sustainability, MDPI, vol. 13(23), pages 1-17, December.
    4. Martina Aronica & Pietro Pizzuto & Caterina Sciortino, 2022. "COVID‐19 and tourism: What can we learn from the past?," The World Economy, Wiley Blackwell, vol. 45(2), pages 430-444, February.
    5. Chung-Shing Chan, 2021. "Developing a Conceptual Model for the Post-COVID-19 Pandemic Changing Tourism Risk Perception," IJERPH, MDPI, vol. 18(18), pages 1-12, September.
    6. Nahyun Lee & Bong-Seok Kim, 2022. "Can International Students’ Risk Perception and Place Image Create an Advantage in Safeguarding Place Loyalty in Post-COVID-19 Tourism?," Sustainability, MDPI, vol. 14(17), pages 1-17, August.
    7. Chung-Shing Chan & Kazuo Nozu & Qinrou Zhou, 2020. "Tourism Stakeholder Perspective for Disaster-Management Process and Resilience: The Case of the 2018 Hokkaido Eastern Iburi Earthquake in Japan," Sustainability, MDPI, vol. 12(19), pages 1-19, September.
    8. Marko Perić & Vanja Vitezić, 2021. "Tourism Getting Back to Life after COVID-19: Can Artificial Intelligence Help?," Societies, MDPI, vol. 11(4), pages 1-13, September.

26. Ying Li & Yung-Ho Chiu & Tai-Yu Lin & Tzu-Han Chang, 2020. "Pre-Evaluating the Technical Efficiency Gains from Potential Mergers and Acquisitions in the IC Design Industry," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(02), pages 525-559, April.

    Cited by:

    1. Yung‐ho Chiu & Tai‐Yu Lin & Tzu‐Han Chang & Yi‐Nuo Lin & Shih‐Yung Chiu, 2021. "Prevaluating efficiency gains from potential mergers and acquisitions in the financial industry with the Resample Past–Present–Future data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(2), pages 369-384, March.

27. Ying Li & Yung-ho Chiu & Tai-Yu Lin, 2019. "Research on New and Traditional Energy Sources in OECD Countries," IJERPH, MDPI, vol. 16(7), pages 1-21, March.

    Cited by:

    1. Nelson Amowine & Huaizong Li & Kofi Baah Boamah & Zhixiang Zhou, 2021. "Towards Ecological Sustainability: Assessing Dynamic Total-Factor Ecology Efficiency in Africa," IJERPH, MDPI, vol. 18(17), pages 1-23, September.

28. Li, Ying & Chiu, Yung-ho & Lin, Tai-Yu, 2019. "Coal production efficiency and land destruction in China's coal mining industry," Resources Policy, Elsevier, vol. 63(C), pages 1-1.

    Cited by:

    1. Michaela Staňková, 2020. "Efficiency Comparison and Efficiency Development of the Metallurgical Industry in the EU: Parametric and Non-parametric Approaches," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 68(4), pages 765-774.
    2. Mohammed Atris, Amani, 2020. "Assessment of oil refinery performance: Application of data envelopment analysis-discriminant analysis," Resources Policy, Elsevier, vol. 65(C).
    3. Li, Ying & Cen, Hongyi & Lin, Tai-Yu & Lin, Yi-Nuo & Chiu, Yung-Ho, 2022. "Sustainable coal mine and coal land development in China," Resources Policy, Elsevier, vol. 79(C).
    4. Lin, Zewei & Wang, Peng & Ren, Songyan & Zhao, Daiqing, 2023. "Economic and environmental impacts of EVs promotion under the 2060 carbon neutrality target—A CGE based study in Shaanxi Province of China," Applied Energy, Elsevier, vol. 332(C).
    5. Wu, Huijun & Zeng, Xiaoyu & Zhang, Ling & Liu, Xin & Jiang, Songyan & Dong, Zhanfeng & Meng, Xiangrui & Wang, Qianqian, 2023. "Water-energy nexus embedded in coal supply chain of a coal-based city, China," Resources Policy, Elsevier, vol. 85(PA).
    6. Xiangqian Wang & Shudong Wang & Yongqiu Xia, 2022. "Evaluation and Dynamic Evolution of the Total Factor Environmental Efficiency in China’s Mining Industry," Energies, MDPI, vol. 15(3), pages 1-19, February.
    7. Wu, Peng & Wang, Yiqing & Chiu, Yung-ho & Li, Ying & Lin, Tai-Yu, 2019. "Production efficiency and geographical location of Chinese coal enterprises - undesirable EBM DEA," Resources Policy, Elsevier, vol. 64(C).
    8. Jianhua Huangfu & Wenjuan Zhao & Lei Yu, 2023. "Does Coal Consumption Control Policy Synergistically Control Emissions and Energy Intensity?," Sustainability, MDPI, vol. 15(10), pages 1-15, May.
    9. Jing, Zhaorui & Wang, Jinman & Tang, Qian & Liu, Biao & Niu, Hebin, 2021. "Evolution of land use in coal-based cities based on the ecological niche theory: A case study in Shuozhou City, China," Resources Policy, Elsevier, vol. 74(C).
    10. Zhang, Lina & Gao, Wanting & Chiu, Yung-ho & Pang, Qinghua & Shi, Zhen & Guo, Zhiqin, 2021. "Environmental performance indicators of China's coal mining industry: A bootstrapping Malmquist index analysis," Resources Policy, Elsevier, vol. 71(C).
    11. Piotr Bórawski & Aneta Bełdycka-Bórawska & Lisa Holden, 2023. "Changes in the Polish Coal Sector Economic Situation with the Background of the European Union Energy Security and Eco-Efficiency Policy," Energies, MDPI, vol. 16(2), pages 1-17, January.
    12. Piotr Bórawski & Aneta Bełdycka-Bórawska & Lisa Holden & Tomasz Rokicki, 2022. "The Role of Renewable Energy Sources in Electricity Production in Poland and the Background of Energy Policy of the European Union at the Beginning of the COVID-19 Crisis," Energies, MDPI, vol. 15(22), pages 1-17, November.
    13. Yonggang Zhang & Lining Yang, 2021. "A novel dynamic predictive method of water inrush from coal floor based on gated recurrent unit model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(2), pages 2027-2043, January.
    14. Zhang, Rui & Qie, Xiaotong & Hu, Yanyong & Chen, Xue, 2022. "Does de-capacity policy promote the efficient and green development of the coal industry? –Based on the evidence of China," Resources Policy, Elsevier, vol. 77(C).

29. Huaming Chen & Jia Liu & Ying Li & Yung-Ho Chiu & Tai-Yu Lin, 2019. "A Two-stage Dynamic Undesirable Data Envelopment Analysis Model Focused on Media Reports and the Impact on Energy and Health Efficiency," IJERPH, MDPI, vol. 16(9), pages 1-23, April.

    Cited by:

    1. Ming Zeng & Jiang Du & Weike Zhang, 2019. "Spatial-Temporal Effects of PM 2.5 on Health Burden: Evidence from China," IJERPH, MDPI, vol. 16(23), pages 1-23, November.
    2. Min Li & Kaisheng Long, 2019. "Direct or Spillover Effect: The Impact of Pure Technical and Scale Efficiencies of Water Use on Water Scarcity in China," IJERPH, MDPI, vol. 16(18), pages 1-13, September.
    3. Qian Wang & Duo Li & Tzu-Han Chang, 2019. "Energy and Health Efficiencies in China with the Inclusion of Technological Innovation," IJERPH, MDPI, vol. 16(21), pages 1-20, October.

30. Wu, Peng & Wang, Yiqing & Chiu, Yung-ho & Li, Ying & Lin, Tai-Yu, 2019. "Production efficiency and geographical location of Chinese coal enterprises - undesirable EBM DEA," Resources Policy, Elsevier, vol. 64(C).

    Cited by:

    1. June Raymond Leonen Mariano & Mingyu Liao & Herchang Ay, 2021. "Performance Evaluation of Solar PV Power Plants in Taiwan Using Data Envelopment Analysis," Energies, MDPI, vol. 14(15), pages 1-14, July.
    2. Wang, Delu & Mao, Jinqi & Cui, Rong & Yu, Jian & Shi, Xunpeng, 2022. "Impact of inter-provincial power resource allocation on enterprise production behavior from a multi-scale correlation perspective," Energy Economics, Elsevier, vol. 114(C).
    3. Chia-Nan Wang & Kristofer Neal Castro Imperial & Ching-Chien Huang & Thanh-Tuan Dang, 2022. "Output Targeting and Runway Utilization of Major International Airports: A Comparative Analysis Using DEA," Mathematics, MDPI, vol. 10(4), pages 1-23, February.
    4. Chiu, Yung-ho & Huang, Kuei-Ying & Chang, Tzu-Han & Lin, Tai-Yu, 2021. "Efficiency assessment of coal mine use and land restoration: Considering climate change and income differences," Resources Policy, Elsevier, vol. 73(C).
    5. Zhou Zhou & Jianqiang Duan & Shaoqing Geng & Ran Li, 2023. "Spatial Network and Driving Factors of Agricultural Green Total Factor Productivity in China," Energies, MDPI, vol. 16(14), pages 1-26, July.
    6. Li, Ying & Cen, Hongyi & Lin, Tai-Yu & Lin, Yi-Nuo & Chiu, Yung-Ho, 2022. "Sustainable coal mine and coal land development in China," Resources Policy, Elsevier, vol. 79(C).
    7. Zhou, Anhua & Xin, Ling & Li, Jun, 2022. "Assessing the impact of the carbon market on the improvement of China's energy and carbon emission performance," Energy, Elsevier, vol. 258(C).
    8. Sun, Chuanwang & Zeng, Yingfang, 2023. "Does the green credit policy affect the carbon emissions of heavily polluting enterprises?," Energy Policy, Elsevier, vol. 180(C).
    9. Zhao, Pengjun & Zeng, Liangen & Li, Peilin & Lu, Haiyan & Hu, Haoyu & Li, Chengming & Zheng, Mengyuan & Li, Haitao & Yu, Zhao & Yuan, Dandan & Xie, Jinxin & Huang, Qi & Qi, Yuting, 2022. "China's transportation sector carbon dioxide emissions efficiency and its influencing factors based on the EBM DEA model with undesirable outputs and spatial Durbin model," Energy, Elsevier, vol. 238(PC).
    10. Li-Ming Xue & Zhi-Xue Zheng & Shuo Meng & Mingjun Li & Huaqing Li & Ji-Ming Chen, 2022. "Carbon emission efficiency and spatio-temporal dynamic evolution of the cities in Beijing-Tianjin-Hebei Region, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 7640-7664, June.
    11. Zhou, Anhua & Li, Jun, 2021. "Investigate the impact of market reforms on the improvement of manufacturing energy efficiency under China’s provincial-level data," Energy, Elsevier, vol. 228(C).
    12. Jiang, Lei & Zhou, Haifeng & He, Shixiong, 2021. "Does energy efficiency increase at the expense of output performance: Evidence from manufacturing firms in Jiangsu province, China," Energy, Elsevier, vol. 220(C).
    13. Xue, Liming & Zhang, Wenjie & Zheng, Zhixue & Liu, Zhe & Meng, Shuo & Li, Huaqing & Du, Yulin, 2021. "Measurement and influential factors of the efficiency of coal resources of China’s provinces: Based on Bootstrap-DEA and Tobit," Energy, Elsevier, vol. 221(C).
    14. Zhang, Ning & Zhao, Yu & Wang, Na, 2022. "Is China's energy policy effective for power plants? Evidence from the 12th Five-Year Plan energy saving targets," Energy Economics, Elsevier, vol. 112(C).
    15. Zhang, Lina & Gao, Wanting & Chiu, Yung-ho & Pang, Qinghua & Shi, Zhen & Guo, Zhiqin, 2021. "Environmental performance indicators of China's coal mining industry: A bootstrapping Malmquist index analysis," Resources Policy, Elsevier, vol. 71(C).
    16. Bin Luo & Zhenhai Liu & Sichao Mai, 2023. "The Impact and Internal Mechanism of Environmental Decentralization on Green Total Factor Production," Sustainability, MDPI, vol. 15(1), pages 1-13, January.
    17. Liangen Zeng, 2021. "China’s Eco-Efficiency: Regional Differences and Influencing Factors Based on a Spatial Panel Data Approach," Sustainability, MDPI, vol. 13(6), pages 1-19, March.
    18. Wei, Jing & Zhang, Jianjun & Wu, Xia & Song, Zeyu, 2022. "Governance in mining enterprises: An effective way to promote the intensification of resources—Taking coal resources as an example," Resources Policy, Elsevier, vol. 76(C).

31. Zijing Liang & Yung-ho Chiu & Xinchun Li & Quan Guo & Yue Yun, 2019. "Study on the Effect of Environmental Regulation on the Green Total Factor Productivity of Logistics Industry from the Perspective of Low Carbon," Sustainability, MDPI, vol. 12(1), pages 1-19, December.

    Cited by:

    1. Ying Chen & Suran Li & Long Cheng, 2020. "Evaluation of Cultivated Land Use Efficiency with Environmental Constraints in the Dongting Lake Eco-Economic Zone of Hunan Province, China," Land, MDPI, vol. 9(11), pages 1-15, November.

32. Xiangyu Teng & Danting Lu & Yung-ho Chiu, 2019. "Emission Reduction and Energy Performance Improvement with Different Regional Treatment Intensity in China," Energies, MDPI, vol. 12(2), pages 1-18, January.

    Cited by:

    1. Yukun Xu & Xiangyong Kong & Zheng Zhu & Chao Jiang & Shuang Xiao, 2022. "Recovery Algorithm of Power Metering Data Based on Collaborative Fitting," Energies, MDPI, vol. 15(4), pages 1-19, February.
    2. Wilhelm Jan Tic & Joanna Guziałowska-Tic, 2019. "The Effect of Modifiers and Method of Application on Fine-Coal Combustion," Energies, MDPI, vol. 12(23), pages 1-15, November.

33. Fang-Rong Ren & Ze Tian & Yu-Ting Shen & Yung-Ho Chiu & Tai-Yu Lin, 2019. "Energy, CO 2 , and AQI Efficiency and Improvement of the Yangtze River Economic Belt," Energies, MDPI, vol. 12(4), pages 1-17, February.

    Cited by:

    1. Dongdong Ma & Feng He & Guifang Li & Guangjun Deng, 2021. "Does haze pollution affect public health in China from the perspective of environmental efficiency?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16343-16357, November.
    2. Ji Zheng & Yingjie Hu & Suocheng Dong & Yu Li, 2019. "The Spatiotemporal Pattern of Decoupling Transport CO 2 Emissions from Economic Growth across 30 Provinces in China," Sustainability, MDPI, vol. 11(9), pages 1-18, May.

34. Ying Li & Yung-ho Chiu & Tai-Yu Lin, 2019. "Energy and Environmental Efficiency in Different Chinese Regions," Sustainability, MDPI, vol. 11(4), pages 1-26, February.

    Cited by:

    1. Vladimír Baláž & Eduard Nežinský & Tomáš Jeck & Richard Filčák, 2020. "Energy and Emission Efficiency of the Slovak Regions," Sustainability, MDPI, vol. 12(7), pages 1-18, March.
    2. Weijia Cui & Xueqin Lin & Dai Wang & Ying Mi, 2022. "Urban Industrial Carbon Efficiency Measurement and Influencing Factors Analysis in China," Land, MDPI, vol. 12(1), pages 1-21, December.
    3. Xiangqian Wang & Shudong Wang & Yongqiu Xia, 2022. "Evaluation and Dynamic Evolution of the Total Factor Environmental Efficiency in China’s Mining Industry," Energies, MDPI, vol. 15(3), pages 1-19, February.
    4. Liangen Zeng & Haiyan Lu & Yenping Liu & Yang Zhou & Haoyu Hu, 2019. "Analysis of Regional Differences and Influencing Factors on China’s Carbon Emission Efficiency in 2005–2015," Energies, MDPI, vol. 12(16), pages 1-21, August.
    5. Meixia Wang & Qingyun Zheng & Yunxia Wang, 2023. "Spatial Correlation Network and Driving Factors of Urban Energy Eco-Efficiency from the Perspective of Human Well-Being: A Case Study of Shaanxi Province, China," IJERPH, MDPI, vol. 20(6), pages 1-20, March.
    6. Wang, Yi & Wang, Huiping, 2023. "Spatial spillover effect of urban sprawl on total factor energy ecological efficiency: Evidence from 272 cities in China," Energy, Elsevier, vol. 273(C).
    7. Liu, Qingchen & Li, Hongchang & Shang, Wen-long & Wang, Kun, 2022. "Spatio-temporal distribution of Chinese cities’ air quality and the impact of high-speed rail," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    8. A. S. M. Monjurul Hasan & Rakib Hossain & Rashedul Amin Tuhin & Taiyeb Hasan Sakib & Patrik Thollander, 2019. "Empirical Investigation of Barriers and Driving Forces for Efficient Energy Management Practices in Non-Energy-Intensive Manufacturing Industries of Bangladesh," Sustainability, MDPI, vol. 11(9), pages 1-13, May.
    9. Liangen Zeng, 2021. "China’s Eco-Efficiency: Regional Differences and Influencing Factors Based on a Spatial Panel Data Approach," Sustainability, MDPI, vol. 13(6), pages 1-19, March.
    10. Haixia Cai & Ruguo Fan, 2019. "Regional Total Factor Energy Efficiency Evaluation of China: The Perspective of Social Welfare," Sustainability, MDPI, vol. 11(15), pages 1-16, July.

35. Ying Li & Yung‐ho Chiu & Hongyi Cen & Tai‐Yu Lin, 2019. "The operating efficiency of financial holding and nonfinancial holding banks—Epsilou‐based measure metafrontier data envelopment analysis model," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 40(5), pages 488-499, July.

    Cited by:

    1. June Raymond Leonen Mariano & Mingyu Liao & Herchang Ay, 2021. "Performance Evaluation of Solar PV Power Plants in Taiwan Using Data Envelopment Analysis," Energies, MDPI, vol. 14(15), pages 1-14, July.
    2. Yung‐ho Chiu & Tai‐Yu Lin & Tzu‐Han Chang & Yi‐Nuo Lin & Shih‐Yung Chiu, 2021. "Prevaluating efficiency gains from potential mergers and acquisitions in the financial industry with the Resample Past–Present–Future data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(2), pages 369-384, March.
    3. David Fang & Ming‐Ching Hsueh & Ching‐Ren Chiu, 2020. "An investigation of international hotel productivity considering quasifixed inputs and negative outputs," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 380-388, April.
    4. Lutfi, & Suyatno,, 2019. "Determinants of Bank Efficiency: Evidence from Regional Development Banks," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 53(3), pages 59-74.
    5. Li‐Ting Yeh & Dong‐Shang Chang & Huei‐Min Li, 2022. "Developing a network data envelopment analysis model to measure the efficiency of banking with the governance, innovation, and operations," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(7), pages 2863-2874, October.
    6. Chen, Yufeng & Ni, Liangfu & Liu, Kelong, 2022. "Innovation efficiency and technology heterogeneity within China's new energy vehicle industry: A two-stage NSBM approach embedded in a three-hierarchy meta-frontier framework," Energy Policy, Elsevier, vol. 161(C).
    7. Tai-Hsin Huang & Yi-Chun Lin & Kuo-Jui Huang & Yu-Wei Liao, 2022. "Comparing Cost Efficiency Between Financial and Non-financial Holding Banks and Insurers in Taiwan Under the Framework of Copula Methods and Metafrontier," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(4), pages 735-766, December.
    8. Wei‐Kang Wang & Wen‐Min Lu & Qian Long Kweh & Hoang Tu Nhi Truong, 2020. "What do U.S. biopharmaceutical companies get from patents and research and development spikes for their dynamic corporate performance?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(5), pages 762-770, July.

36. Ronggang Zhang & Ching-Cheng Lu & Jen-Hui Lee & Ying Feng & Yung-Ho Chiu, 2019. "Dynamic Environmental Efficiency Assessment of Industrial Water Pollution," Sustainability, MDPI, vol. 11(11), pages 1-12, May.

    Cited by:

    1. Linlin Zhao & Lin Zhang & Yong Zha, 2019. "Industrial Efficiency Evaluation in China: A Nonparametric Production-Frontier Approach," Sustainability, MDPI, vol. 11(18), pages 1-23, September.
    2. Ying-yu Lu & Yue He & Bo Wang & Shuang-shuang Ye & Yidi Hua & Lei Ding, 2019. "Efficiency Evaluation of Atmospheric Pollutants Emission in Zhejiang Province China: A DEA-Malmquist Based Approach," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    3. Manli Cheng & Zhen Shao & Changhui Yang & Xiaoan Tang, 2019. "Analysis of Coordinated Development of Energy and Environment in China’s Manufacturing Industry under Environmental Regulation: A Comparative Study of Sub-Industries," Sustainability, MDPI, vol. 11(22), pages 1-20, November.
    4. Ethel Ansaah Addae & Dongying Sun & Olivier Joseph Abban, 2023. "Evaluating the effect of urbanization and foreign direct investment on water use efficiency in West Africa: application of the dynamic slacks-based model and the common correlated effects mean group e," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 5867-5897, July.
    5. Zhirong Li & Kaiheng Zheng & Qikang Zhong, 2022. "Comprehensive Evaluation and Spatial-Temporal Pattern of Green Development in Hunan Province, China," Sustainability, MDPI, vol. 14(11), pages 1-21, June.
    6. Xiao-Ning Li & Ying Feng & Pei-Ying Wu & Yung-Ho Chiu, 2021. "An Analysis of Environmental Efficiency and Environmental Pollution Treatment Efficiency in China’s Industrial Sector," Sustainability, MDPI, vol. 13(5), pages 1-25, February.

37. Liang-han Ma & Jin-chi Hsieh & Yung-ho Chiu, 2019. "A Study on the Effects of Energy and Environmental Efficiency at China’s Provincial Level," Energies, MDPI, vol. 12(4), pages 1-13, February.

    Cited by:

    1. Ying-yu Lu & Yue He & Bo Wang & Shuang-shuang Ye & Yidi Hua & Lei Ding, 2019. "Efficiency Evaluation of Atmospheric Pollutants Emission in Zhejiang Province China: A DEA-Malmquist Based Approach," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    2. Li Yang & Yung‐ho Chiu & Tzu‐Han Chang, 2023. "The impact of quality of life on industrial and agricultural production and environmental efficiency in China's provinces," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 1054-1072, March.
    3. Yao Hu & Tai-Hua Yan & Feng-Wen Chen, 2020. "Energy and Environment Performance of Resource-Based Cities in China: A Non-Parametric Approach for Estimating Hyperbolic Distance Function," IJERPH, MDPI, vol. 17(13), pages 1-23, July.
    4. Yulia V. Vertakova & Vladimir A. Plotnikov, 2019. "The Integrated Approach to Sustainable Development: The Case of Energy Efficiency and Solid Waste Management," International Journal of Energy Economics and Policy, Econjournals, vol. 9(4), pages 194-201.
    5. Carvalho, Anne Emília Costa & Sampaio, Raquel Menezes Bezerra & Sampaio, Luciano Menezes Bezerra, 2023. "The impact of regulation on the Brazilian water and sewerage companies’ efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).

38. Bai, Xue-jie & Zeng, Jin & Chiu, Yung-Ho, 2019. "Pre-evaluating efficiency gains from potential mergers and acquisitions based on the resampling DEA approach: Evidence from China's railway sector," Transport Policy, Elsevier, vol. 76(C), pages 46-56.

    Cited by:

    1. Gudmundsson, Sveinn Vidar & Merkert, Rico & Redondi, Renato, 2020. "Cost structure effects of horizontal airline mergers and acquisitions," Transport Policy, Elsevier, vol. 99(C), pages 136-144.
    2. Le, Yiping & Oka, Minami & Kato, Hironori, 2022. "Efficiencies of the urban railway lines incorporating financial performance and in-vehicle congestion in the Tokyo Metropolitan Area," Transport Policy, Elsevier, vol. 116(C), pages 343-354.
    3. Ying Li & Yung-Ho Chiu & Tai-Yu Lin & Tzu-Han Chang, 2020. "Pre-Evaluating the Technical Efficiency Gains from Potential Mergers and Acquisitions in the IC Design Industry," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(02), pages 525-559, April.
    4. Yung‐ho Chiu & Tai‐Yu Lin & Tzu‐Han Chang & Yi‐Nuo Lin & Shih‐Yung Chiu, 2021. "Prevaluating efficiency gains from potential mergers and acquisitions in the financial industry with the Resample Past–Present–Future data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(2), pages 369-384, March.
    5. Chen, Shanshan & Zhang, Ruchuan & Li, Peiwen & Li, Aijun, 2023. "How to improve the performance of China's energy-transport-economy-environment system: An analysis based on new strategy parallel-series input-output data envelopment analysis models," Energy, Elsevier, vol. 281(C).
    6. Chang, Tsung-Sheng & Lin, Ji-Gang & Ouenniche, Jamal, 2023. "DEA-based Nash bargaining approach to merger target selection," European Journal of Operational Research, Elsevier, vol. 305(2), pages 930-945.
    7. Mohammad Khoveyni & Robabeh Eslami, 2022. "Merging two-stage series network structures: A DEA-based approach," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(1), pages 273-302, March.
    8. Bai, Xuejie & Jin, Zeng & Chiu, Yung-Ho, 2021. "Performance evaluation of China's railway passenger transportation sector," Research in Transportation Economics, Elsevier, vol. 90(C).
    9. Contreras, I. & Lozano, S., 2022. "Size efficiency, splits and merger gains, and centralized resource reallocation of Spanish public universities," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).

39. Ying Li & Yung-ho Chiu & Tai-Yu Lin & Yun Yuan Huang, 2019. "Market share and performance in Taiwanese banks: min/max SBM DEA," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(2), pages 233-252, July.

    Cited by:

    1. Jesús A. Tapia & Bonifacio Salvador, 2022. "Data envelopment analysis efficiency in the public sector using provider and customer opinion: An application to the Spanish health system," Health Care Management Science, Springer, vol. 25(2), pages 333-346, June.
    2. Hsueh-Li Huang & Lien-Wen Liang & Hai-Yen Chang & Hsiu-Yuan Hsu, 2021. "The Influence of Earnings Management and Board Characteristics on Company Efficiency," Sustainability, MDPI, vol. 13(21), pages 1-18, October.
    3. Hsiao-I Pan & Komsan Suriya & Pathairat Pastpipatkul, 2022. "An Analysis of Determinants of Foreign Direct Investment in Banking Industry from Taiwan to ASEAN Countries with Gravity Model," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(4), pages 631-649, December.
    4. Xiaohong Liu & Feng Yang & Jie Wu, 2020. "DEA considering technological heterogeneity and intermediate output target setting: the performance analysis of Chinese commercial banks," Annals of Operations Research, Springer, vol. 291(1), pages 605-626, August.

40. Ying Li & Yung-ho Chiu & Tai-Yu Lin, 2019. "The Impact of Economic Growth and Air Pollution on Public Health in 31 Chinese Cities," IJERPH, MDPI, vol. 16(3), pages 1-26, January.

    Cited by:

    1. Jing Zhao & Xiaoru Zuo & Chun-Ping Chang, 2023. "More economic growth with the better public health? Evidence from Western China," Economic Change and Restructuring, Springer, vol. 56(2), pages 1083-1112, April.
    2. Manuel Herrador & Tran Tho Dat & Dinh Duc Truong & Le Thu Hoa & Katarzyna Å obacz, 2023. "The Unique Case Study of Circular Economy in Vietnam Remarking Recycling Craft Villages," SAGE Open, , vol. 13(3), pages 21582440231, September.

41. Zhang, Bin & Luo, Yuan & Chiu, Yung-Ho, 2019. "Efficiency evaluation of China's high-tech industry with a multi-activity network data envelopment analysis approach," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 2-9.

    Cited by:

    1. Phung, Manh-Trung & Cheng, Cheng-Ping & Guo, Chuanyin & Kao, Chen-Yu, 2020. "Mixed Network DEA with Shared Resources: A Case of Measuring Performance for Banking Industry," Operations Research Perspectives, Elsevier, vol. 7(C).
    2. Lin, Tzu-Yu & Chiu, Sheng-Hsiung & Yang, Hai-Lan, 2022. "Performance evaluation for regional innovation systems development in China based on the two-stage SBM-DNDEA model," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    3. Chen, Xiaoqing & Liu, Xinwang & Zhu, Qingyuan, 2022. "Comparative analysis of total factor productivity in China's high-tech industries," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    4. Wang, Ya & Pan, Jiao-feng & Pei, Rui-min & Yi, Bo-Wen & Yang, Guo-liang, 2020. "Assessing the technological innovation efficiency of China's high-tech industries with a two-stage network DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    5. Yafen He & Zhenhong Zhu & Hualin Xie & Xinmin Zhang & Meiqi Sheng, 2023. "A case study in China of the influence mechanism of industrial park efficiency using DEA," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 7261-7280, July.
    6. Lim, Dong-Joon & Kim, Moon-Su, 2022. "Measuring dynamic efficiency with variable time lag effects," Omega, Elsevier, vol. 108(C).
    7. Ju, Xiangui & Ferreira, Fernando A.F. & Wang, Min, 2020. "Innovation, agile project management and firm performance in a public sector-dominated economy: Empirical evidence from high-tech small and medium-sized enterprises in China," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    8. Evan, Tomáš & Holý, Vladimír, 2021. "Economic conditions for innovation: Private vs. public sector," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).

42. Jin-chi Hsieh & Ching-cheng Lu & Ying Li & Yung-ho Chiu & Ya-sue Xu, 2019. "Environmental Assessment of European Union Countries," Energies, MDPI, vol. 12(2), pages 1-18, January.

    Cited by:

    1. Djula Borozan, 2023. "Institutions and Environmentally Adjusted Efficiency," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(4), pages 4489-4510, December.
    2. Perry Sadorsky, 2021. "Eco-Efficiency for the G18: Trends and Future Outlook," Sustainability, MDPI, vol. 13(20), pages 1-15, October.
    3. Talat S. Genc & Stephen Kosempel, 2023. "Energy Transition and the Economy: A Review Article," Energies, MDPI, vol. 16(7), pages 1-26, March.
    4. Patrick Gasser & Marco Cinelli & Anna Labijak & Matteo Spada & Peter Burgherr & Miłosz Kadziński & Božidar Stojadinović, 2020. "Quantifying Electricity Supply Resilience of Countries with Robust Efficiency Analysis," Energies, MDPI, vol. 13(7), pages 1-35, March.
    5. Djula Borozan, 2021. "Technical Efficiency and Productivity Change in the European Union with Undesirable Output Considered," Energies, MDPI, vol. 14(16), pages 1-15, August.
    6. Dongdong Ma & Guifang Li & Feng He, 2021. "Exploring PM2.5 Environmental Efficiency and Its Influencing Factors in China," IJERPH, MDPI, vol. 18(22), pages 1-15, November.
    7. Ewa Chodakowska & Joanicjusz Nazarko, 2020. "Assessing the Performance of Sustainable Development Goals of EU Countries: Hard and Soft Data Integration," Energies, MDPI, vol. 13(13), pages 1-26, July.
    8. Guwen Tang & Meng Zhang & Fei Bu, 2023. "Vehicle Environmental Efficiency Evaluation in Different Regions in China: A Combination of the Life Cycle Analysis (LCA) and Two-Stage Data Envelopment Analysis (DEA) Methods," Sustainability, MDPI, vol. 15(15), pages 1-24, August.

43. Ying Li & Yung-ho Chiu & Liang Chun Lu, 2019. "New Energy Development and Pollution Emissions in China," IJERPH, MDPI, vol. 16(10), pages 1-24, May.

    Cited by:

    1. Ming Zeng & Jiang Du & Weike Zhang, 2019. "Spatial-Temporal Effects of PM 2.5 on Health Burden: Evidence from China," IJERPH, MDPI, vol. 16(23), pages 1-23, November.
    2. Xiaohong Liu, 2023. "Impacts of Environmental Pollution and Digital Economy on the New Energy Industry," Sustainability, MDPI, vol. 15(12), pages 1-15, June.
    3. Liu, Haiyue & Zhang, Ruchuan & Zhou, Li & Li, Aijun, 2023. "Evaluating the financial performance of companies from the perspective of fund procurement and application: New strategy cross efficiency network data envelopment analysis models," Energy, Elsevier, vol. 269(C).
    4. Bo Chen & Feng Jin & Guangchen Li & Yurong Zhao, 2023. "Can the New Energy Demonstration City Policy Promote Green and Low-Carbon Development? Evidence from China," Sustainability, MDPI, vol. 15(11), pages 1-16, May.
    5. Le Yang & Zhongqi Liang & Wentao Yao & Hongmin Zhu & Liangen Zeng & Zihan Zhao, 2023. "What Are the Impacts of Urbanisation on Carbon Emissions Efficiency? Evidence from Western China," Land, MDPI, vol. 12(9), pages 1-18, August.
    6. Guangdong Li, 2019. "Spatiotemporal Dynamics of Ecological Total-Factor Energy Efficiency and Their Drivers in China at the Prefecture Level," IJERPH, MDPI, vol. 16(18), pages 1-23, September.

44. Xiangyu Teng & Liang Chun Lu & Yung-ho Chiu, 2018. "Considering Emission Treatment for Energy-Efficiency Improvement and Air Pollution Reduction in China’s Industrial Sector," Sustainability, MDPI, vol. 10(11), pages 1-18, November.

    Cited by:

    1. Teng, Xiangyu & Liu, Fan-peng & Chiu, Yung-ho, 2021. "The change in energy and carbon emissions efficiency after afforestation in China by applying a modified dynamic SBM model," Energy, Elsevier, vol. 216(C).
    2. Ying-yu Lu & Yue He & Bo Wang & Shuang-shuang Ye & Yidi Hua & Lei Ding, 2019. "Efficiency Evaluation of Atmospheric Pollutants Emission in Zhejiang Province China: A DEA-Malmquist Based Approach," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    3. Jiang, Lei & Zhou, Haifeng & He, Shixiong, 2021. "Does energy efficiency increase at the expense of output performance: Evidence from manufacturing firms in Jiangsu province, China," Energy, Elsevier, vol. 220(C).
    4. Xiang Chen & Xuping Zhang & Xin Wu & Ching-Cheng Lu, 2022. "The environmental health and energy efficiency in China: A network slacks-based measure," Energy & Environment, , vol. 33(1), pages 170-188, February.
    5. Xiangyu Teng & Fan‐peng Liu & Yung‐ho Chiu, 2020. "The impact of coal and non‐coal consumption on China's energy performance improvement," Natural Resources Forum, Blackwell Publishing, vol. 44(4), pages 334-352, November.
    6. Yanhua Guo & Lianjun Tong & Lin Mei, 2021. "Evaluation and Influencing Factors of Industrial Pollution in Jilin Restricted Development Zone: A Spatial Econometric Analysis," Sustainability, MDPI, vol. 13(8), pages 1-18, April.
    7. Chia-Nan Wang & Quoc-Chien Luu & Thi-Kim-Lien Nguyen & Jen-Der Day, 2019. "Assessing Bank Performance Using Dynamic SBM Model," Mathematics, MDPI, vol. 7(1), pages 1-13, January.

45. Tao Zhang & Yung-ho Chiu & Ying Li & Tai-Yu Lin, 2018. "Air Pollutant and Health-Efficiency Evaluation Based on a Dynamic Network Data Envelopment Analysis," IJERPH, MDPI, vol. 15(9), pages 1-22, September.

    Cited by:

    1. Jin-Li Hu & Min-Yueh Chuang & Shang-Ho Yeh, 2023. "A Dynamic DEA Analysis of Health Output Efficiencies of Cities and Counties in Taiwan," IJERPH, MDPI, vol. 20(6), pages 1-12, March.

46. Li, Ying & Chiu, Yung-ho & Lu, Liang Chun, 2018. "Energy and AQI performance of 31 cities in China," Energy Policy, Elsevier, vol. 122(C), pages 194-202.

    Cited by:

    1. Zhu, Ying & Yan, Xiaxia & Chen, Cong & Li, Yongping & Huang, Guohe & Li, Yexin, 2019. "Analysis of industry-air quality control in ecologically fragile coal-dependent cities by an uncertain Gaussian diffusion-Hurwicz criterion model," Energy Policy, Elsevier, vol. 132(C), pages 1191-1205.
    2. Dong-Her Shih & To Thi Hien & Ly Sy Phu Nguyen & Ting-Wei Wu & Yen-Ting Lai, 2022. "A Modified γ -Sutte Indicator for Air Quality Index Prediction," Mathematics, MDPI, vol. 10(17), pages 1-15, August.
    3. Liang-han Ma & Jin-chi Hsieh & Yung-ho Chiu, 2019. "A Study on the Effects of Energy and Environmental Efficiency at China’s Provincial Level," Energies, MDPI, vol. 12(4), pages 1-13, February.
    4. Xianning Wang & Zhengang Ma & Jiusheng Chen & Jingrong Dong, 2023. "Can Regional Eco-Efficiency Forecast the Changes in Local Public Health: Evidence Based on Statistical Learning in China," IJERPH, MDPI, vol. 20(2), pages 1-19, January.
    5. Ying Wang & Jianzhou Wang & Hongmin Li & Hufang Yang & Zhiwu Li, 2022. "Multi‐step air quality index forecasting via data preprocessing, sequence reconstruction, and improved multi‐objective optimization algorithm," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(7), pages 1483-1511, November.
    6. Liang Chun Lu & Yung-ho Chiu & Shih-Yung Chiu & Tzu-Han Chang, 2022. "Do Forests help environmental development of Cities in China?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6602-6629, May.
    7. Butera, Giacomo & Jensen, Søren Højgaard & Clausen, Lasse Røngaard, 2019. "A novel system for large-scale storage of electricity as synthetic natural gas using reversible pressurized solid oxide cells," Energy, Elsevier, vol. 166(C), pages 738-754.
    8. Ebenezer Fiifi Emire Atta Mills & Mavis Agyapomah Baafi & Fangbiao Liu & Kailin Zeng, 2021. "Dynamic operating efficiency and its determining factors of listed real‐estate companies in China: A hierarchical slack‐based DEA‐OLS approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3352-3376, July.
    9. Wei, Wei & Hu, Haiqing & Chang, Chun-Ping, 2022. "Why the same degree of economic policy uncertainty can produce different outcomes in energy efficiency? New evidence from China," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 467-481.
    10. Changfeng Shi & Xinhui Liu & Min Gu & Qinghua Pang & Zhen Shi, 2021. "Evaluation of the impact of energy utilization and PM on respiratory health in China," Energy & Environment, , vol. 32(3), pages 380-402, May.
    11. Fang-Rong Ren & Ze Tian & Yu-Ting Shen & Yung-Ho Chiu & Tai-Yu Lin, 2019. "Energy, CO 2 , and AQI Efficiency and Improvement of the Yangtze River Economic Belt," Energies, MDPI, vol. 12(4), pages 1-17, February.
    12. Gimeno-Frontera, Beatriz & Mainar-Toledo, María Dolores & Sáez de Guinoa, Aitana & Zambrana-Vasquez, David & Zabalza-Bribián, Ignacio, 2018. "Sustainability of non-residential buildings and relevance of main environmental impact contributors' variability. A case study of food retail stores buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 669-681.

47. Ze-Bin Wang & Yung-ho Chiu & Jin-chi Hsieh & Ying Li & Lee-hui Hsiao, 2018. "Performance appraisal for the operation and management of listed and OTC Taiwanese companies with DEA benchmarking models," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 23(3), pages 447-464, July.

    Cited by:

    1. Pedro Moskovics & Peter Wanke & Yong Tan & Ali Meftah Gerged, 2024. "Market structure, ESG performance, and corporate efficiency: Insights from Brazilian publicly traded companies," Business Strategy and the Environment, Wiley Blackwell, vol. 33(2), pages 241-262, February.

48. Ying Li & Yung-Ho Chiu & Liang Chun Lu, 2018. "Regional Energy, CO 2 , and Economic and Air Quality Index Performances in China: A Meta-Frontier Approach," Energies, MDPI, vol. 11(8), pages 1-20, August.

    Cited by:

    1. Talat S. Genc & Stephen Kosempel, 2023. "Energy Transition and the Economy: A Review Article," Energies, MDPI, vol. 16(7), pages 1-26, March.
    2. Magambo, Isaiah Hubert & Dikgang, Johane & Gelo, Dambala & Tregenna, Fiona, 2021. "Dynamic Technical and Environmental Efficiency Performance of Large Gold Mines in Developing Countries," EconStor Preprints 235859, ZBW - Leibniz Information Centre for Economics.

49. Zhang, Bin & Lu, Danting & He, Yan & Chiu, Yung-ho, 2018. "The efficiencies of resource-saving and environment: A case study based on Chinese cities," Energy, Elsevier, vol. 150(C), pages 493-507.

    Cited by:

    1. Kai Li & Zhili Ma & Guozhou Zhang, 2019. "Evaluation of the Supply-Side Efficiency of China’s Real Estate Market: A Data Envelopment Analysis," Sustainability, MDPI, vol. 11(1), pages 1-18, January.
    2. Yali Zhao & Min Li, 2020. "Effect of Water-Saving Society Policy on Water Consumption in the Cities of China: A Propensity Score Matching Analysis," IJERPH, MDPI, vol. 17(21), pages 1-14, November.
    3. Zhaoxian Su & Yang Yang & Yun Wang & Pan Zhang & Xin Luo, 2023. "Study on Spatiotemporal Evolution Features and Affecting Factors of Collaborative Governance of Pollution Reduction and Carbon Abatement in Urban Agglomerations of the Yellow River Basin," IJERPH, MDPI, vol. 20(5), pages 1-20, February.
    4. Victor Moutinho & Mara Madaleno, 2021. "A Two-Stage DEA Model to Evaluate the Technical Eco-Efficiency Indicator in the EU Countries," IJERPH, MDPI, vol. 18(6), pages 1-21, March.
    5. Yingming Zhu & Yuan Li & Yi Wang & Lingfeng Li, 2021. "The Impact of Water and Soil Scarcity and Pollution on Industrial Agglomeration: Evidence from China," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    6. Tu, Chuang & Mu, Xianzhong & Chen, Jian & Kong, Li & Zhang, Zheng & Lu, Yutong & Hu, Guangwen, 2021. "Study on the interactive relationship between urban residents’ expenditure and energy consumption of production sectors," Energy Policy, Elsevier, vol. 157(C).

50. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2017. "Non-radial metafrontier approach to identify carbon emission performance and intensity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 664-672.

    Cited by:

    1. Li, Xiang & Cheng, Zhonghua, 2022. "Does high-speed rail improve urban carbon emission efficiency in China?," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    2. Li, Ying & Chiu, Yung-ho & Lu, Liang Chun, 2018. "Energy and AQI performance of 31 cities in China," Energy Policy, Elsevier, vol. 122(C), pages 194-202.
    3. Yu, Ming-Miin & See, Kok Fong & Hsiao, Bo, 2022. "Integrating group frontier and metafrontier directional distance functions to evaluate the efficiency of production units," European Journal of Operational Research, Elsevier, vol. 301(1), pages 254-276.
    4. Xian’En Wang & Shimeng Wang & Xipan Wang & Wenbo Li & Junnian Song & Haiyan Duan & Shuo Wang, 2019. "The Assessment of Carbon Performance under the Region-Sector Perspective based on the Nonparametric Estimation: A Case Study of the Northern Province in China," Sustainability, MDPI, vol. 11(21), pages 1-23, October.
    5. She, Zhen-Yu & Meng, Gang & Xie, Bai-Chen & O'Neill, Eoghan, 2020. "The effectiveness of the unbundling reform in China’s power system from a dynamic efficiency perspective," Applied Energy, Elsevier, vol. 264(C).
    6. Lin, Boqiang & Sai, Rockson, 2021. "A multi factor Malmquist CO2emission performance indices: Evidence from Sub Saharan African public thermal power plants," Energy, Elsevier, vol. 223(C).
    7. Zeng, Chen & Stringer, Lindsay C. & Lv, Tianyu, 2021. "The spatial spillover effect of fossil fuel energy trade on CO2 emissions," Energy, Elsevier, vol. 223(C).
    8. Cheng, Zhonghua & Jin, Wei, 2022. "Agglomeration economy and the growth of green total-factor productivity in Chinese Industry," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    9. Cheng, Zhonghua & Li, Xiang & Wang, Meixiao, 2021. "Resource curse and green economic growth," Resources Policy, Elsevier, vol. 74(C).
    10. Cheng, Zhonghua & Liu, Jun & Li, Lianshui & Gu, Xinbei, 2020. "Research on meta-frontier total-factor energy efficiency and its spatial convergence in Chinese provinces," Energy Economics, Elsevier, vol. 86(C).
    11. Molinos-Senante, María & Sala-Garrido, Ramón, 2018. "Evaluation of energy performance of drinking water treatment plants: Use of energy intensity and energy efficiency metrics," Applied Energy, Elsevier, vol. 229(C), pages 1095-1102.
    12. Lin, Boqiang & Sai, Rockson, 2022. "Has mining agglomeration affected energy productivity in Africa?," Energy, Elsevier, vol. 244(PA).
    13. Xiao-Ning Li & Ying Feng & Pei-Ying Wu & Yung-Ho Chiu, 2021. "An Analysis of Environmental Efficiency and Environmental Pollution Treatment Efficiency in China’s Industrial Sector," Sustainability, MDPI, vol. 13(5), pages 1-25, February.
    14. Cheng, Zhonghua & Li, Lianshui & Liu, Jun & Zhang, Huiming, 2018. "Total-factor carbon emission efficiency of China's provincial industrial sector and its dynamic evolution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 330-339.

51. Guo, Xiaoying & Lu, Ching-Cheng & Lee, Jen-Hui & Chiu, Yung-Ho, 2017. "Applying the dynamic DEA model to evaluate the energy efficiency of OECD countries and China," Energy, Elsevier, vol. 134(C), pages 392-399.

    Cited by:

    1. Ying Li & Yung-ho Chiu & Tai-Yu Lin, 2019. "Research on New and Traditional Energy Sources in OECD Countries," IJERPH, MDPI, vol. 16(7), pages 1-21, March.
    2. Jorge Cunha & Manuel Lopes Nunes & Fátima Lima, 2018. "Discerning the factors explaining the change in energy efficiency," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(1), pages 163-179, December.
    3. Sheng-Hsiung Chiu & Tzu-Yu Lin & Hai-Lan Yang, 2020. "Measuring Energy Performance for Regional Sustainable Development in China: A New Framework based on a Dynamic Two-Stage SBM Approach," Sustainability, MDPI, vol. 12(7), pages 1-15, April.
    4. Wu, Yunna & Ke, Yiming & Zhang, Ting & Liu, Fangtong & Wang, Jing, 2018. "Performance efficiency assessment of photovoltaic poverty alleviation projects in China: A three-phase data envelopment analysis model," Energy, Elsevier, vol. 159(C), pages 599-610.
    5. Ying Li & Yung-ho Chiu & Tai-Yu Lin, 2019. "Energy and Environmental Efficiency in Different Chinese Regions," Sustainability, MDPI, vol. 11(4), pages 1-26, February.
    6. Roychaudhuri, Pritam Sankar & Kazantzi, Vasiliki & Foo, Dominic C.Y. & Tan, Raymond R. & Bandyopadhyay, Santanu, 2017. "Selection of energy conservation projects through Financial Pinch Analysis," Energy, Elsevier, vol. 138(C), pages 602-615.
    7. Gong, Bing & Zheng, Xiaochen & Guo, Qing & Ordieres-Meré, Joaquín, 2019. "Discovering the patterns of energy consumption, GDP, and CO2 emissions in China using the cluster method," Energy, Elsevier, vol. 166(C), pages 1149-1167.
    8. Li, Ying & Chiu, Yung-ho & Lu, Liang Chun, 2018. "Energy and AQI performance of 31 cities in China," Energy Policy, Elsevier, vol. 122(C), pages 194-202.
    9. Sungmin Park & Pansoo Kim, 2021. "Operational Performance Evaluation of Korean Ship Parts Manufacturing Industry Using Dynamic Network SBM Model," Sustainability, MDPI, vol. 13(23), pages 1-20, November.
    10. Matthias Klumpp, 2018. "How to Achieve Supply Chain Sustainability Efficiently? Taming the Triple Bottom Line Split Business Cycle," Sustainability, MDPI, vol. 10(2), pages 1-23, February.
    11. Jialu Su & Zhiqiang Ma & Yan Wang & Xinxing Wang, 2023. "Evaluation and Spatial Correlation Analysis of Green Economic Growth Efficiency in Yangtze River Delta Urban Agglomeration," Sustainability, MDPI, vol. 15(3), pages 1-23, January.
    12. Ze Tian & Fang-Rong Ren & Qin-Wen Xiao & Yung-Ho Chiu & Tai-Yu Lin, 2019. "Cross-Regional Comparative Study on Carbon Emission Efficiency of China’s Yangtze River Economic Belt Based on the Meta-Frontier," IJERPH, MDPI, vol. 16(4), pages 1-19, February.
    13. Ching-Cheng Lu & Yung-ho Chiu & I-Fang Lin & Tai-Yu Lin, 2023. "Dynamic total factors’ environmental efficiency in European union countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 10055-10072, September.
    14. Zhang, Yue-Jun & Liu, Zhao & Zhou, Si-Ming & Qin, Chang-Xiong & Zhang, Huan, 2018. "The impact of China's Central Rise Policy on carbon emissions at the stage of operation in road sector," Economic Modelling, Elsevier, vol. 71(C), pages 159-173.
    15. Xiangyu Teng & Liang Chun Lu & Yung-ho Chiu, 2018. "Considering Emission Treatment for Energy-Efficiency Improvement and Air Pollution Reduction in China’s Industrial Sector," Sustainability, MDPI, vol. 10(11), pages 1-18, November.
    16. Du, Xiaoyun & Meng, Conghui & Guo, Zhenhua & Yan, Hang, 2023. "An improved approach for measuring the efficiency of low carbon city practice in China," Energy, Elsevier, vol. 268(C).
    17. Ying Li & Yung-Ho Chiu & Liang Chun Lu, 2018. "Regional Energy, CO 2 , and Economic and Air Quality Index Performances in China: A Meta-Frontier Approach," Energies, MDPI, vol. 11(8), pages 1-20, August.
    18. Teng, Xiangyu & Liu, Fan-peng & Chiu, Yung-ho, 2021. "The change in energy and carbon emissions efficiency after afforestation in China by applying a modified dynamic SBM model," Energy, Elsevier, vol. 216(C).
    19. Zhang, Caiqing & Chen, Panyu, 2022. "Applying the three-stage SBM-DEA model to evaluate energy efficiency and impact factors in RCEP countries," Energy, Elsevier, vol. 241(C).
    20. Xiong, Xi & Yang, Guo-liang & Guan, Zhong-cheng, 2020. "Estimating the multi-period efficiency of high-tech research institutes of the Chinese Academy of Sciences: A dynamic slacks-based measure," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    21. Liangjun Yi & Wei Zhang & Yuanxin Liu & Weilin Zhang, 2021. "An Analysis of the Impact of Market Segmentation on Energy Efficiency: A Spatial Econometric Model Applied in China," Sustainability, MDPI, vol. 13(14), pages 1-23, July.
    22. Sun, Huaping & Edziah, Bless Kofi & Kporsu, Anthony Kwaku & Sarkodie, Samuel Asumadu & Taghizadeh-Hesary, Farhad, 2021. "Energy efficiency: The role of technological innovation and knowledge spillover," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    23. Lee, Junghwan & Kim, Jinsoo, 2023. "Are electric vehicles more efficient? A slacks-based data envelopment analysis for European road passenger transportation," Energy, Elsevier, vol. 279(C).
    24. Khalid Mehmood & Yaser Iftikhar & Shouming Chen & Shaheera Amin & Alia Manzoor & Jinlong Pan, 2020. "Analysis of Inter-Temporal Change in the Energy and CO 2 Emissions Efficiency of Economies: A Two Divisional Network DEA Approach," Energies, MDPI, vol. 13(13), pages 1-17, June.
    25. Vaninsky, Alexander, 2018. "Energy-environmental efficiency and optimal restructuring of the global economy," Energy, Elsevier, vol. 153(C), pages 338-348.
    26. Chu, Junfei & Shao, Caifeng & Emrouznejad, Ali & Wu, Jie & Yuan, Zhe, 2021. "Performance evaluation of organizations considering economic incentives for emission reduction: A carbon emission permit trading approach," Energy Economics, Elsevier, vol. 101(C).
    27. Zhou, Xiaoyang & Chen, Hao & Chai, Jian & Wang, Shouyang & Lev, Benjamin, 2020. "Performance evaluation and prediction of the integrated circuit industry in China: A hybrid method," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    28. Xiong, Xi & Yang, Guo-liang & Guan, Zhong-cheng, 2018. "Assessing R&D efficiency using a two-stage dynamic DEA model: A case study of research institutes in the Chinese Academy of Sciences," Journal of Informetrics, Elsevier, vol. 12(3), pages 784-805.
    29. Cai, Bofeng & Guo, Huanxiu & Ma, Zipeng & Wang, Zhixuan & Dhakal, Shobhakar & Cao, Libin, 2019. "Benchmarking carbon emissions efficiency in Chinese cities: A comparative study based on high-resolution gridded data," Applied Energy, Elsevier, vol. 242(C), pages 994-1009.
    30. Toshiyuki Sueyoshi & Mika Goto, 2023. "Energy Intensity, Energy Efficiency and Economic Growth among OECD Nations from 2000 to 2019," Energies, MDPI, vol. 16(4), pages 1-29, February.
    31. Liang-Han Ma & Jin-Chi Hsieh & Yung-Ho Chiu, 2020. "Comparing regional differences in global energy performance," Energy & Environment, , vol. 31(6), pages 943-960, September.
    32. Dolšak, Janez & Hrovatin, Nevenka & Zorić, Jelena, 2022. "Estimating the efficiency in overall energy consumption: Evidence from Slovenian household-level data," Energy Economics, Elsevier, vol. 114(C).
    33. Dong, Jiajia & Dou, Yue & Jiang, Qingzhe & Zhao, Jun, 2022. "Can financial inclusion facilitate carbon neutrality in China? The role of energy efficiency," Energy, Elsevier, vol. 251(C).
    34. Zhen Shi & Fengping Wu & Huinan Huang & Xinrui Sun & Lina Zhang, 2019. "Comparing Economics, Environmental Pollution and Health Efficiency in China," IJERPH, MDPI, vol. 16(23), pages 1-30, December.
    35. Yue-Jun Zhang & Yan-Lin Jin & Bo Shen, 2020. "Measuring the Energy Saving and CO2 Emissions Reduction Potential Under China’s Belt and Road Initiative," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1095-1116, April.
    36. Jin-Peng Liu & Qian-Ru Yang & Lin He, 2017. "Total-Factor Energy Efficiency (TFEE) Evaluation on Thermal Power Industry with DEA, Malmquist and Multiple Regression Techniques," Energies, MDPI, vol. 10(7), pages 1-14, July.
    37. Xiangyu Teng & Danting Lu & Yung-ho Chiu, 2019. "Emission Reduction and Energy Performance Improvement with Different Regional Treatment Intensity in China," Energies, MDPI, vol. 12(2), pages 1-18, January.
    38. Tang, Liwei & He, Gang, 2021. "How to improve total factor energy efficiency? An empirical analysis of the Yangtze River economic belt of China," Energy, Elsevier, vol. 235(C).
    39. Tao Xu & Jianxin You & Hui Li & Luning Shao, 2020. "Energy Efficiency Evaluation Based on Data Envelopment Analysis: A Literature Review," Energies, MDPI, vol. 13(14), pages 1-20, July.
    40. Liang Chun Lu & Yung-ho Chiu & Shih-Yung Chiu & Tzu-Han Chang, 2022. "Do Forests help environmental development of Cities in China?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6602-6629, May.
    41. Jiang, Lei & Zhou, Haifeng & He, Shixiong, 2021. "Does energy efficiency increase at the expense of output performance: Evidence from manufacturing firms in Jiangsu province, China," Energy, Elsevier, vol. 220(C).
    42. Sun, Huaping & Edziah, Bless Kofi & Sun, Chuanwang & Kporsu, Anthony Kwaku, 2019. "Institutional quality, green innovation and energy efficiency," Energy Policy, Elsevier, vol. 135(C).
    43. Yu, Yantuan & Tang, Kai, 2023. "Does financial inclusion improve energy efficiency?," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    44. Abbas Mardani & Dalia Streimikiene & Tomas Balezentis & Muhamad Zameri Mat Saman & Khalil Md Nor & Seyed Meysam Khoshnava, 2018. "Data Envelopment Analysis in Energy and Environmental Economics: An Overview of the State-of-the-Art and Recent Development Trends," Energies, MDPI, vol. 11(8), pages 1-21, August.
    45. Qian Wang & Duo Li & Tzu-Han Chang, 2019. "Energy and Health Efficiencies in China with the Inclusion of Technological Innovation," IJERPH, MDPI, vol. 16(21), pages 1-20, October.
    46. Tzu-Yu Lin & Sheng-Hsiung Chiu, 2018. "Sustainable Performance of Low-Carbon Energy Infrastructure Investment on Regional Development: Evidence from China," Sustainability, MDPI, vol. 10(12), pages 1-21, December.
    47. Xiangyu Teng & Fan‐peng Liu & Yung‐ho Chiu, 2020. "The impact of coal and non‐coal consumption on China's energy performance improvement," Natural Resources Forum, Blackwell Publishing, vol. 44(4), pages 334-352, November.
    48. Zhang, Shuo & Yu, Yadong & Kharrazi, Ali & Ren, Hongtao & Ma, Tieju, 2022. "How can structural change contribute to concurrent sustainability policy targets on GDP, emissions, energy, and employment in China?," Energy, Elsevier, vol. 256(C).
    49. Nelson Amowine & Zhiqiang Ma & Mingxing Li & Zhixiang Zhou & Benjamin Azembila Asunka & James Amowine, 2019. "Energy Efficiency Improvement Assessment in Africa: An Integrated Dynamic DEA Approach," Energies, MDPI, vol. 12(20), pages 1-17, October.
    50. Fan, Jing-Li & Zhang, Hao & Zhang, Xian, 2020. "Unified efficiency measurement of coal-fired power plants in China considering group heterogeneity and technological gaps," Energy Economics, Elsevier, vol. 88(C).
    51. Sebastian Cuadros & Yeny E. Rodríguez & Javier Contreras, 2020. "Dynamic Data Envelopment Analysis Model Involving Undesirable Outputs in the Electricity Power Generation Sector: The Case of Latin America and the Caribbean Countries," Energies, MDPI, vol. 13(24), pages 1-20, December.
    52. Ebenezer Fiifi Emire Atta Mills & Mavis Agyapomah Baafi & Fangbiao Liu & Kailin Zeng, 2021. "Dynamic operating efficiency and its determining factors of listed real‐estate companies in China: A hierarchical slack‐based DEA‐OLS approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3352-3376, July.
    53. Chia-Nan Wang & Thi-Duong Nguyen & Min-Chun Yu, 2019. "Energy Use Efficiency Past-to-Future Evaluation: An International Comparison," Energies, MDPI, vol. 12(19), pages 1-15, October.
    54. Dan Wu & Ching-Cheng Lu & Pao-Yu Tang & Miao-Ling Wang & An-Chi Yang, 2021. "A Resampling Slack-Based Energy Efficiency Analysis: Application in the G20 Economies," Energies, MDPI, vol. 15(1), pages 1-14, December.
    55. Li, Ye & Cui, Qiang, 2018. "Investigating the role of cooperation in the GHG abatement costs of airlines under CNG2020 strategy via a DEA cross PAC model," Energy, Elsevier, vol. 161(C), pages 725-736.
    56. Dan Wu & Ching-Cheng Lu & Xiang Chen & Pei-Chieh Tu & An-Chi Yang & Chih-Yu Yang, 2021. "Evaluating the Dynamic Energy Production Efficiency in APEC Economies," Energies, MDPI, vol. 14(14), pages 1-20, July.
    57. Ying Li & Yung-ho Chiu & Tai-Yu Lin, 2019. "The Impact of Economic Growth and Air Pollution on Public Health in 31 Chinese Cities," IJERPH, MDPI, vol. 16(3), pages 1-26, January.
    58. Fu, Yelin & Lu, Yihe & Yu, Chen & Lai, Kin Keung, 2022. "Inter-country comparisons of energy system performance with the energy trilemma index: An ensemble ranking methodology based on the half-quadratic theory," Energy, Elsevier, vol. 261(PA).
    59. Ying Li & Yung-ho Chiu & Liang Chun Lu, 2019. "New Energy Development and Pollution Emissions in China," IJERPH, MDPI, vol. 16(10), pages 1-24, May.
    60. Milica Jovanović & Gordana Savić & Yuzhuo Cai & Maja Levi-Jakšić, 2022. "Towards a Triple Helix based efficiency index of innovation systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2577-2609, May.
    61. Ding, Li-Li & Lei, Liang & Zhao, Xin & Calin, Adrian Cantemir, 2020. "Modelling energy and carbon emission performance: A constrained performance index measure," Energy, Elsevier, vol. 197(C).
    62. Lin, Boqiang & Xu, Mengmeng, 2018. "Regional differences on CO2 emission efficiency in metallurgical industry of China," Energy Policy, Elsevier, vol. 120(C), pages 302-311.
    63. Singpai, Bodin & Wu, Desheng Dash, 2021. "An integrative approach for evaluating the environmental economic efficiency," Energy, Elsevier, vol. 215(PB).
    64. Fang-Rong Ren & Ze Tian & Yu-Ting Shen & Yung-Ho Chiu & Tai-Yu Lin, 2019. "Energy, CO 2 , and AQI Efficiency and Improvement of the Yangtze River Economic Belt," Energies, MDPI, vol. 12(4), pages 1-17, February.
    65. Haiyang Shang & Ying Feng & Ching-Cheng Lu & Chih-Yu Yang, 2023. "The Impact of Optimizing Industrial Energy Efficiency on Agricultural Development in OECD Countries," Sustainability, MDPI, vol. 15(7), pages 1-17, March.
    66. Chia-Nan Wang & Quoc-Chien Luu & Thi-Kim-Lien Nguyen & Jen-Der Day, 2019. "Assessing Bank Performance Using Dynamic SBM Model," Mathematics, MDPI, vol. 7(1), pages 1-13, January.

52. Hsiao-Yin Chen & Chin-wei Huang & Yung-Ho Chiu, 2017. "An intertemporal efficiency and technology measurement for tourist hotel," Journal of Productivity Analysis, Springer, vol. 48(1), pages 85-96, August.

    Cited by:

    1. Chin‐wei Huang & Hsiao‐Yin Chen, 2023. "Using nonradial metafrontier data envelopment analysis to evaluate the metatechnology and metafactor ratios for the Taiwanese hotel industry," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 1904-1919, June.

53. Lee Chi-Ai & Shyu Ming-Kuang & Chiu Yung-Ho, 2017. "Evaluating the Operational Efficiency of Life Insurance Companies in Taiwan¨C An Application of the Dynamic Network SBM Model," Applied Economics and Finance, Redfame publishing, vol. 4(1), pages 18-33, January.

    Cited by:

    1. Kuan-Chen Chen & Chung-I Lin, 2020. "Studies on the Determinants of Efficiency in Taiwanese Life Insurance Industry - Application of Bootstrapped Truncated Model," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 10(1), pages 1-4.
    2. Mohammad Nourani & Qian Long Kweh & Irene Wei Kiong Ting & Wen-Min Lu & Anna Strutt, 2022. "Evaluating traditional, dynamic and network business models: an efficiency-based study of Chinese insurance companies," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(4), pages 905-943, October.
    3. Huang, Tai-Hsin & Lin, Chung-I & Wu, Ruei-Cian, 2019. "Assessing the marketing and investment efficiency of Taiwan’s life insurance firms under network structures," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 132-147.

54. Jian-Wen Fang & Yung-ho Chiu, 2017. "Research on Innovation Efficiency and Technology Gap in China Economic Development," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(02), pages 1-22, April.

    Cited by:

    1. Zhu, Lin & Luo, Jian & Dong, Qingli & Zhao, Yang & Wang, Yunyue & Wang, Yong, 2021. "Green technology innovation efficiency of energy-intensive industries in China from the perspective of shared resources: Dynamic change and improvement path," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    2. Lei Wang & Ruyin Long & Hong Chen, 2017. "Study of Urban Energy Performance Assessment and Its Influencing Factors Based on Improved Stochastic Frontier Analysis: A Case Study of Provincial Capitals in China," Sustainability, MDPI, vol. 9(7), pages 1-18, June.
    3. Carayannis, Elias G. & Grigoroudis, Evangelos & Wurth, Bernd, 2022. "OR for entrepreneurial ecosystems: A problem-oriented review and agenda," European Journal of Operational Research, Elsevier, vol. 300(3), pages 791-808.
    4. Yu-Ming Zhai & Wan-Qin Sun & Sang-Bing Tsai & Zhen Wang & Yu Zhao & Quan Chen, 2018. "An Empirical Study on Entrepreneurial Orientation, Absorptive Capacity, and SMEs’ Innovation Performance: A Sustainable Perspective," Sustainability, MDPI, vol. 10(2), pages 1-14, January.
    5. Wenzhong Ye & Yaping Hu & Lingming Chen, 2021. "Urban Innovation Efficiency Improvement in the Guangdong–Hong Kong–Macao Greater Bay Area from the Perspective of Innovation Chains," Land, MDPI, vol. 10(11), pages 1-19, October.

55. Li, Lan-bing & Liu, Bing-lian & Liu, Wei-lin & Chiu, Yung-Ho, 2017. "Efficiency evaluation of the regional high-tech industry in China: A new framework based on meta-frontier dynamic DEA analysis," Socio-Economic Planning Sciences, Elsevier, vol. 60(C), pages 24-33.

    Cited by:

    1. Li, Xiang & Cheng, Zhonghua, 2022. "Does high-speed rail improve urban carbon emission efficiency in China?," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    2. Zhu, Lin & Luo, Jian & Dong, Qingli & Zhao, Yang & Wang, Yunyue & Wang, Yong, 2021. "Green technology innovation efficiency of energy-intensive industries in China from the perspective of shared resources: Dynamic change and improvement path," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    3. Yongqi Feng & Haolin Zhang & Yung-ho Chiu & Tzu-Han Chang, 2021. "Innovation efficiency and the impact of the institutional quality: a cross-country analysis using the two-stage meta-frontier dynamic network DEA model," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3091-3129, April.
    4. Ying Li & Yung-Ho Chiu & Liang Chun Lu, 2018. "Regional Energy, CO 2 , and Economic and Air Quality Index Performances in China: A Meta-Frontier Approach," Energies, MDPI, vol. 11(8), pages 1-20, August.
    5. Lin, Shoufu & Lin, Ruoyun & Sun, Ji & Wang, Fei & Wu, Weixiang, 2021. "Dynamically evaluating technological innovation efficiency of high-tech industry in China: Provincial, regional and industrial perspective," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
    6. Xiong, Xi & Yang, Guo-liang & Guan, Zhong-cheng, 2020. "Estimating the multi-period efficiency of high-tech research institutes of the Chinese Academy of Sciences: A dynamic slacks-based measure," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    7. Xiaohuan Lyu & Anna Shi, 2018. "Research on the Renewable Energy Industry Financing Efficiency Assessment and Mode Selection," Sustainability, MDPI, vol. 10(1), pages 1-13, January.
    8. Chang Li & Mingyang Li & Lu Zhang & Tingyi Li & Hanzhen Ouyang & Sanggyun Na, 2019. "Has the High-Tech Industry along the Belt and Road in China Achieved Green Growth with Technological Innovation Efficiency and Environmental Sustainability?," IJERPH, MDPI, vol. 16(17), pages 1-18, August.
    9. Lin, Tzu-Yu & Chiu, Sheng-Hsiung & Yang, Hai-Lan, 2022. "Performance evaluation for regional innovation systems development in China based on the two-stage SBM-DNDEA model," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    10. Zhou, Xiaoyang & Chen, Hao & Chai, Jian & Wang, Shouyang & Lev, Benjamin, 2020. "Performance evaluation and prediction of the integrated circuit industry in China: A hybrid method," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    11. Ya Wang & Jiaofeng Pan & Ruimin Pei & Guoliang Yang & Bowen Yi, 2020. "A Framework for Assessing Green Capacity Utilization Considering CO 2 Emissions in China’s High-Tech Manufacturing Industry," Sustainability, MDPI, vol. 12(11), pages 1-25, May.
    12. Jing Feng & Longlong Geng & Hui Liu & Xuehua Zhang, 2022. "RETRACTED ARTICLE: Efficiency evaluation of the high-tech industry chain with a two-stage data envelopment analysis approach," Operations Management Research, Springer, vol. 15(3), pages 1071-1080, December.
    13. Wang, Ya & Pan, Jiao-feng & Pei, Rui-min & Yi, Bo-Wen & Yang, Guo-liang, 2020. "Assessing the technological innovation efficiency of China's high-tech industries with a two-stage network DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    14. Carayannis, Elias G. & Grigoroudis, Evangelos & Wurth, Bernd, 2022. "OR for entrepreneurial ecosystems: A problem-oriented review and agenda," European Journal of Operational Research, Elsevier, vol. 300(3), pages 791-808.
    15. DiMaria, charles-henri, 2024. "ESG principles: the limits to green benchmarking," MPRA Paper 120410, University Library of Munich, Germany, revised 2024.
    16. Xiaoqing Chen & Xinwang Liu, 2023. "Comparing Malmquist and Hicks–Moorsteen productivity changes in China’s high-tech industries: exploring convexity implications," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(4), pages 1209-1237, December.
    17. Yu, Junqing & Zhou, Kaile & Yang, Shanlin, 2019. "Regional heterogeneity of China's energy efficiency in “new normal”: A meta-frontier Super-SBM analysis," Energy Policy, Elsevier, vol. 134(C).
    18. Yunwei Li & Qiuping Ji & Zijie Wang & Zishan Xiong & Simeng Zhan & Yiping Yang & Yu Hao, 2022. "Green energy mismatch, industrial intelligence and economics growth: theory and empirical evidence from China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(10), pages 11785-11816, October.
    19. Ikram Ullah Khan & Sadaqat Ali & Habib Nawaz Khan, 2018. "Market Concentration, Risk-taking, and Efficiency of Commercial Banks in Pakistan: An Application of the Two-Stage Double Bootstrap DEA," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 10(2), pages 65-96, June.
    20. Yafen He & Zhenhong Zhu & Hualin Xie & Xinmin Zhang & Meiqi Sheng, 2023. "A case study in China of the influence mechanism of industrial park efficiency using DEA," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 7261-7280, July.
    21. Wu, Yueh-Cheng & Lin, Sheng-Wei, 2022. "Efficiency evaluation of Asia's cultural tourism using a dynamic DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    22. Teirlinck, Peter & Khoshnevis, Pegah, 2020. "Within-cluster determinants of output efficiency of R&D in the space industry," Omega, Elsevier, vol. 94(C).
    23. Juchniewicz Małgorzata & Łada Magdalena, 2022. "Competitive potential vs. the competitive position of the high-tech sector in European Union countries," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 58(4), pages 371-380, December.
    24. Zaiwu Gong & Xiaoqing Chen, 2017. "Analysis of Interval Data Envelopment Efficiency Model Considering Different Distribution Characteristics—Based on Environmental Performance Evaluation of the Manufacturing Industry," Sustainability, MDPI, vol. 9(12), pages 1-25, November.
    25. V.V. Spitsin & A. Mikhalchuk & Darko B. Vukovic & L.Y. Spitsina, 2023. "Technical Efficiency of High-Technology Industries in the Crisis: Evidence from Russia," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(1), pages 200-225, March.
    26. Chen, Yufeng & Ni, Liangfu & Liu, Kelong, 2022. "Innovation efficiency and technology heterogeneity within China's new energy vehicle industry: A two-stage NSBM approach embedded in a three-hierarchy meta-frontier framework," Energy Policy, Elsevier, vol. 161(C).
    27. Qingxian An & Fanyong Meng & Beibei Xiong & Zongrun Wang & Xiaohong Chen, 2020. "Assessing the relative efficiency of Chinese high-tech industries: a dynamic network data envelopment analysis approach," Annals of Operations Research, Springer, vol. 290(1), pages 707-729, July.
    28. Li, Hongkuan & He, Haiyan & Shan, Jiefei & Cai, Jingjing, 2019. "Innovation efficiency of semiconductor industry in China: A new framework based on generalized three-stage DEA analysis," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 136-148.
    29. Zhang, Bin & Luo, Yuan & Chiu, Yung-Ho, 2019. "Efficiency evaluation of China's high-tech industry with a multi-activity network data envelopment analysis approach," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 2-9.
    30. Ding, Tao & Yang, Jie & Wu, Huaqing & Liang, Liang, 2022. "Land use efficiency and technology gaps of urban agglomerations in China: An extended non-radial meta-frontier approach," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    31. Jun Yin & Qingmei Tan, 2019. "Study on Urban Efficiency Measurement and Spatiotemporal Evolution of Cities in Northwest China Based on the DEA–Malmquist Model," Sustainability, MDPI, vol. 11(2), pages 1-13, January.
    32. Yantuan Yu & Jianhuan Huang & Yanmin Shao, 2019. "The Sustainability Performance of Chinese Banks: A New Network Data Envelopment Analysis Approach and Panel Regression," Sustainability, MDPI, vol. 11(6), pages 1-25, March.
    33. Liu, Hongda & Wu, Wangqiang & Yao, Pinbo, 2022. "A study on the efficiency of pediatric healthcare services and its influencing factors in China ——estimation of a three-stage DEA model based on provincial-level data," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    34. Xiaobing Yu & Xuejing Wu & Tongzhao Huo, 2020. "Combine MCDM Methods and PSO to Evaluate Economic Benefits of High-Tech Zones in China," Sustainability, MDPI, vol. 12(18), pages 1-20, September.
    35. Yiwen Liu & Jian Li & Yi Xu, 2022. "Quantitative Evaluation of High-Tech Industry Policies Based on the PMC-Index Model: A Case Study of China’s Beijing-Tianjin-Hebei Region," Sustainability, MDPI, vol. 14(15), pages 1-17, July.

56. Chiu, Ching-Ren & Chiu, Yung-Ho & Chen, Yu-Chuan & Fang, Chen-Ling, 2016. "Exploring the source of metafrontier inefficiency for various bank types in the two-stage network system with undesirable output," Pacific-Basin Finance Journal, Elsevier, vol. 36(C), pages 1-13.

    Cited by:

    1. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2017. "Non-radial metafrontier approach to identify carbon emission performance and intensity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 664-672.
    2. Colesnic, Olga & Kounetas, Konstantinos & Michael, Polemis, 2020. "Estimating risk efficiency in Middle East banks before and after the crisis: A metafrontier framework," Global Finance Journal, Elsevier, vol. 46(C).
       • Colesnic, Olga & Kounetas, Kostas & Polemis, Michael, 2018. "Estimating risk efficiency in MiddleEast banks before and after the crisis.A Metafrontier framework," MPRA Paper 84795, University Library of Munich, Germany.
    3. Yung‐ho Chiu & Tai‐Yu Lin & Tzu‐Han Chang & Yi‐Nuo Lin & Shih‐Yung Chiu, 2021. "Prevaluating efficiency gains from potential mergers and acquisitions in the financial industry with the Resample Past–Present–Future data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(2), pages 369-384, March.
    4. Ying Li & Yung-ho Chiu & Tai-Yu Lin & Yun Yuan Huang, 2019. "Market share and performance in Taiwanese banks: min/max SBM DEA," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(2), pages 233-252, July.
    5. Bo Hsiao & Li-Hsueh Chen, 2019. "Performance Evaluation for Taiwanese Hospitals by Multi-Activity Network Data Envelopment Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 1009-1043, May.
    6. Fang-Chen Kao & Irene Wei Kiong Ting & Han-Chung Chou & Yi-Sung Liu, 2022. "Exploring the Influence of Corporate Social Responsibility on Efficiency: An Extended Dynamic Data Envelopment Analysis of the Global Airline Industry," Sustainability, MDPI, vol. 14(19), pages 1-21, October.
    7. Wang, Qunwei & Hang, Ye & Sun, Licheng & Zhao, Zengyao, 2016. "Two-stage innovation efficiency of new energy enterprises in China: A non-radial DEA approach," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 254-261.
    8. Le, Phuong Thanh & Harvie, Charles & Arjomandi, Amir & Borthwick, James, 2019. "Financial liberalisation, bank ownership type and performance in a transition economy: The case of Vietnam," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    9. Zhujia Yin & Yantuan Yu & Jianhuan Huang, 2018. "Evaluation and evolution of bank efficiency considering heterogeneity technology: An empirical study from China," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-19, October.
    10. Chuang-Min Chao & Ming-Miin Yu & Nan-Hsing Hsiung & Li-Hsueh Chen, 2018. "Profitability efficiency, marketability efficiency and technology gaps in Taiwan’s banking industry: meta-frontier network data envelopment analysis," Applied Economics, Taylor & Francis Journals, vol. 50(3), pages 233-250, January.
    11. Ather Hassan Dar & Somesh Kumar Mathur & Sila Mishra, 2021. "The Efficiency of Indian Banks: A DEA, Malmquist and SFA Analysis with Bad Output," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(4), pages 653-701, December.
    12. Mohammad Nourani & Qian Long Kweh & Wen-Min Lu & Ikhlaas Gurrib, 2022. "Operational and investment efficiency of investment trust companies: Do foreign firms outperform domestic firms?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-26, December.
    13. Chen, Xiang & Wang, Yujia & Wu, Xin, 2022. "Exploring the source of the financial performance in Chinese banks: A risk-adjusted decomposition approach," International Review of Financial Analysis, Elsevier, vol. 80(C).

57. Luo, Zhengying & Chiu, Yung-Ho & Tang, Lingling & Xu, Yayun & Lu, Ching-Cheng, 2016. "Industrial Enterprises' Innovation Efficiency And The Influence Of Capital Source: Based On Statistical Data Of Industrial Enterprises In Jiangsu Province," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 57(2), pages 175-193, December.

    Cited by:

    1. Chen, Yiqi & Ibhagui, Oyakhilome W., 2019. "R&D-firm performance nexus: New evidence from NASDAQ listed firms," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).

58. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2015. "Driving factors behind carbon dioxide emissions in China: A modified production-theoretical decomposition analysis," Energy Economics, Elsevier, vol. 51(C), pages 252-260.

    Cited by:

    1. Ning Chang & Michael L. Lahr, 2016. "Changes in China’s production-source CO 2 emissions: insights from structural decomposition analysis and linkage analysis," Economic Systems Research, Taylor & Francis Journals, vol. 28(2), pages 224-242, June.
    2. Yu, Shiwei & Zheng, Shuhong & Li, Xia, 2018. "The achievement of the carbon emissions peak in China: The role of energy consumption structure optimization," Energy Economics, Elsevier, vol. 74(C), pages 693-707.
    3. Zheng, Huanyu & Song, Malin & Shen, Zhiyang, 2021. "The evolution of renewable energy and its impact on carbon reduction in China," Energy, Elsevier, vol. 237(C).
    4. Yao Qian & Lang Sun & Quanyi Qiu & Lina Tang & Xiaoqi Shang & Chengxiu Lu, 2020. "Analysis of CO 2 Drivers and Emissions Forecast in a Typical Industry-Oriented County: Changxing County, China," Energies, MDPI, vol. 13(5), pages 1-21, March.
    5. Miao, Chenglin & Fang, Debin & Sun, Liyan & Luo, Qiaoling, 2017. "Natural resources utilization efficiency under the influence of green technological innovation," Resources, Conservation & Recycling, Elsevier, vol. 126(C), pages 153-161.
    6. Liobikienė, Genovaitė & Butkus, Mindaugas, 2019. "Scale, composition, and technique effects through which the economic growth, foreign direct investment, urbanization, and trade affect greenhouse gas emissions," Renewable Energy, Elsevier, vol. 132(C), pages 1310-1322.
    7. Li, Cunfang & Li, Danping & Zhang, Xiaoxu, 2019. "Why can China's coal resource-exhausted enterprises cross the district to transfer?," Resources Policy, Elsevier, vol. 60(C), pages 94-105.
    8. Fuyu Cai & Yuting Ding, 2023. "Hopf Bifurcation Analysis of a Class of Saperda populnea Infectious Disease Model with Delay," Mathematics, MDPI, vol. 11(20), pages 1-14, October.
    9. Du, Kerui & Li, Jianglong, 2019. "Towards a green world: How do green technology innovations affect total-factor carbon productivity," Energy Policy, Elsevier, vol. 131(C), pages 240-250.
    10. Xie, Xuan & Lin, Boqiang, 2019. "Understanding the energy intensity change in China's food industry: A comprehensive decomposition method," Energy Policy, Elsevier, vol. 129(C), pages 53-68.
    11. Yan, Bin & Wang, Feng & Dong, Mingru & Ren, Jing & Liu, Juan & Shan, Jing, 2022. "How do financial spatial structure and economic agglomeration affect carbon emission intensity? Theory extension and evidence from China," Economic Modelling, Elsevier, vol. 108(C).
    12. Dayong Wu & Changwei Yuan & Hongchao Liu, 2018. "The decoupling states of CO2 emissions in the Chinese transport sector from 1994 to 2012: A perspective on fuel types," Energy & Environment, , vol. 29(4), pages 591-612, June.
    13. Wang, Miao & Feng, Chao, 2017. "Analysis of energy-related CO2 emissions in China’s mining industry: Evidence and policy implications," Resources Policy, Elsevier, vol. 53(C), pages 77-87.
    14. Feng Dong & Yue Wang & Xiaojie Zhang, 2018. "Can Environmental Quality Improvement and Emission Reduction Targets Be Realized Simultaneously? Evidence from China and A Geographically and Temporally Weighted Regression Model," IJERPH, MDPI, vol. 15(11), pages 1-22, October.
    15. Prantik Bagchi & Santosh Kumar Sahu & Ajay Kumar & Kim Hua Tan, 2022. "Analysis of carbon productivity for firms in the manufacturing sector of India," Post-Print hal-03628401, HAL.
        • Bagchi, Prantik & Sahu, Santosh Kumar & Kumar, Ajay & Tan, Kim Hua, 2022. "Analysis of carbon productivity for firms in the manufacturing sector of India," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    16. Tan, Ruipeng & Lin, Boqiang, 2018. "What factors lead to the decline of energy intensity in China's energy intensive industries?," Energy Economics, Elsevier, vol. 71(C), pages 213-221.
    17. Zeng, Shihong & Jiang, Xue & Su, Bin & Nan, Xin, 2018. "China's SO2 shadow prices and environmental technical efficiency at the province level," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 86-102.
    18. Lijie Gao & Xiaoqi Shang & Fengmei Yang & Longyu Shi, 2021. "A Dynamic Benchmark System for Per Capita Carbon Emissions in Low-Carbon Counties of China," Energies, MDPI, vol. 14(3), pages 1-16, January.
    19. Song, Yi & Huang, Jian-Bai & Feng, Chao, 2018. "Decomposition of energy-related CO2 emissions in China's iron and steel industry: A comprehensive decomposition framework," Resources Policy, Elsevier, vol. 59(C), pages 103-116.
    20. Li, Ding & Gao, Ming & Hou, Wenxuan & Song, Malin & Chen, Jiandong, 2020. "A modified and improved method to measure economy-wide carbon rebound effects based on the PDA-MMI approach," Energy Policy, Elsevier, vol. 147(C).
    21. Yousaf Ali & Maurizio Ciaschini & Claudio Socci & Rosita Pretaroli & Muhammad Sabir, 2019. "Identifying the sources of structural changes in CO2 emissions in Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 36(2), pages 509-526, July.
    22. Zhou, P. & Zhang, H. & Zhang, L.P., 2022. "The drivers of energy intensity changes in Chinese cities: A production-theoretical decomposition analysis," Applied Energy, Elsevier, vol. 307(C).
    23. Shuddhasattwa Rafiq & Ingrid Nielsen & Russell Smyth, 2016. "Effect of Internal Migration on Air and Water Pollution in China," Monash Economics Working Papers 27-16, Monash University, Department of Economics.
    24. Wang, Qunwei & Hang, Ye & Su, Bin & Zhou, Peng, 2018. "Contributions to sector-level carbon intensity change: An integrated decomposition analysis," Energy Economics, Elsevier, vol. 70(C), pages 12-25.
    25. Feng, Chao & Zhang, Hua & Huang, Jian-Bai, 2017. "The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 859-872.
    26. Zha, Donglan & Yang, Guanglei & Wang, Qunwei, 2019. "Investigating the driving factors of regional CO2 emissions in China using the IDA-PDA-MMI method," Energy Economics, Elsevier, vol. 84(C).
    27. Yuliia Matiiuk & Mykolas Simas Poškus & Genovaitė Liobikienė, 2020. "The Implementation of Climate Change Policy in Post-Soviet Countries Achieving Long-Term Targets," Sustainability, MDPI, vol. 12(11), pages 1-24, June.
    28. Zhao, Zhibo & Shi, Xunpeng & Zhao, Lingdi & Zhang, Jinggu, 2020. "Extending production-theoretical decomposition analysis to environmentally sensitive growth: Case study of Belt and Road Initiative countries," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    29. Du, Kerui & Xie, Chunping & Ouyang, Xiaoling, 2017. "A comparison of carbon dioxide (CO2) emission trends among provinces in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 19-25.
    30. Wang, H. & Zhou, P., 2018. "Multi-country comparisons of CO2 emission intensity: The production-theoretical decomposition analysis approach," Energy Economics, Elsevier, vol. 74(C), pages 310-320.
    31. Fan, Jing-Li & Da, Ya-Bin & Wan, Si-Lai & Zhang, Mian & Cao, Zhe & Wang, Yu & Zhang, Xian, 2019. "Determinants of carbon emissions in ‘Belt and Road initiative’ countries: A production technology perspective," Applied Energy, Elsevier, vol. 239(C), pages 268-279.
    32. Chen, Jiandong & Xu, Chong & Shahbaz, Muhammad & Song, Malin, 2021. "Interaction determinants and projections of China’s energy consumption: 1997–2030," Applied Energy, Elsevier, vol. 283(C).
    33. Changjun Jiang & Xiaoxuan Liu, 2022. "Does High-Speed Rail Operation Reduce Ecological Environment Pressure?—Empirical Evidence from China," Sustainability, MDPI, vol. 14(6), pages 1-16, March.
    34. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2019. "How information and communication technology drives carbon emissions: A sector-level analysis for China," Energy Economics, Elsevier, vol. 81(C), pages 380-392.
    35. Andreoni, Valeria, 2022. "Drivers of coal consumption changes: A decomposition analysis for Chinese regions," Energy, Elsevier, vol. 242(C).
    36. Feng Dong & Xinqi Gao & Jingyun Li & Yuanqing Zhang & Yajie Liu, 2018. "Drivers of China’s Industrial Carbon Emissions: Evidence from Joint PDA and LMDI Approaches," IJERPH, MDPI, vol. 15(12), pages 1-28, December.
    37. Yousaf Ali & Rosita Pretaroli & Muhammad Sabir & Claudio Socci & Francesca Severini, 2020. "Structural changes in carbon dioxide (CO2) emissions in the United Kingdom (UK): an emission multiplier product matrix (EMPM) approach," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(8), pages 1545-1564, December.
    38. Yuntong Liu & Yu Wei & Yi Liu & Wenjuan Li, 2020. "Forecasting Oil Price by Hierarchical Shrinkage in Dynamic Parameter Models," Discrete Dynamics in Nature and Society, Hindawi, vol. 2020, pages 1-12, December.
    39. Wang, Qunwei & Zhang, Cheng & Cai, Wanhuan, 2017. "Factor substitution and energy productivity fluctuation in China: A parametric decomposition analysis," Energy Policy, Elsevier, vol. 109(C), pages 181-190.
    40. Gen Li & Shihong Zeng & Tengfei Li & Qiao Peng & Muhammad Irfan, 2023. "Analysing the Effect of Energy Intensity on Carbon Emission Reduction in Beijing," IJERPH, MDPI, vol. 20(2), pages 1-19, January.
    41. Liu, Xiao & Zhou, Dequn & Zhou, Peng & Wang, Qunwei, 2017. "What drives CO2 emissions from China’s civil aviation? An exploration using a new generalized PDA method," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 30-45.
    42. Ertugrul, Hasan Murat & Çetin, Murat & Şeker, Fahri & Dogan, Eyüp, 2015. "The impact of trade openness on global carbon dioxide emissions: Evidence from the top ten emitters among developing countries," MPRA Paper 97539, University Library of Munich, Germany, revised 10 Mar 2016.
    43. Sicen Liu & Xiaodong Chen & Zhiyang Shen & Tomas Baležentis, 2022. "Industrial energy consumption and pollutant emissions: Combined decomposition of relative performance and absolute changes," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 3454-3469, November.
    44. Zhang, Yue-Jun & Liu, Zhao & Qin, Chang-Xiong & Tan, Tai-De, 2017. "The direct and indirect CO2 rebound effect for private cars in China," Energy Policy, Elsevier, vol. 100(C), pages 149-161.
    45. Xueping Tao & Ping Wang & Bangzhu Zhu, 2016. "Measuring the Interprovincial CO 2 Emissions Considering Electric Power Dispatching in China: From Production and Consumption Perspectives," Sustainability, MDPI, vol. 8(6), pages 1-12, May.
    46. Zhang, Cheng & Zhou, Xinxin & Zhou, Bo & Zhao, Ziwei, 2022. "Impacts of a mega sporting event on local carbon emissions: A case of the 2014 Nanjing Youth Olympics," China Economic Review, Elsevier, vol. 73(C).
    47. Qian Wang & Duo Li & Tzu-Han Chang, 2019. "Energy and Health Efficiencies in China with the Inclusion of Technological Innovation," IJERPH, MDPI, vol. 16(21), pages 1-20, October.
    48. Dequn Zhou & Xiao Liu & Peng Zhou & Qunwei Wang, 2017. "Decomposition Analysis of Aggregate Energy Consumption in China: An Exploration Using a New Generalized PDA Method," Sustainability, MDPI, vol. 9(5), pages 1-13, April.
    49. Yang, Hao-Chang & Feng, Gen-Fu & Zhao, Xin Xin & Chang, Chun-Ping, 2022. "The impacts of energy insecurity on green innovation: A multi-country study," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 139-154.
    50. Huang, Fei & Zhou, Dequn & Wang, Qunwei & Hang, Ye, 2019. "Decomposition and attribution analysis of the transport sector’s carbon dioxide intensity change in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 343-358.
    51. Sueyoshi, Toshiyuki & Li, Aijun & Liu, Xiaohong, 2019. "Exploring sources of China's CO2 emission: Decomposition analysis under different technology changes," European Journal of Operational Research, Elsevier, vol. 279(3), pages 984-995.
    52. Shichun Xu & Yongmei Miao & Yiwen Li & Yifeng Zhou & Xiaoxue Ma & Zhengxia He & Bin Zhao & Shuxiao Wang, 2019. "What Factors Drive Air Pollutants in China? An Analysis from the Perspective of Regional Difference Using a Combined Method of Production Decomposition Analysis and Logarithmic Mean Divisia Index," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    53. Kerui Du & Boqiang Lin & Chunping Xie, 2017. "Exploring Change in China’s Carbon Intensity: A Decomposition Approach," Sustainability, MDPI, vol. 9(2), pages 1-14, February.
    54. Wu, Rong & Wang, Jieyu & Wang, Shaojian & Feng, Kuishuang, 2021. "The drivers of declining CO2 emissions trends in developed nations using an extended STIRPAT model: A historical and prospective analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    55. Dongxiao Niu & Gengqi Wu & Zhengsen Ji & Dongyu Wang & Yuying Li & Tian Gao, 2021. "Evaluation of Provincial Carbon Neutrality Capacity of China Based on Combined Weight and Improved TOPSIS Model," Sustainability, MDPI, vol. 13(5), pages 1-18, March.
    56. Feng Dong & Yifei Hua & Bolin Yu, 2018. "Peak Carbon Emissions in China: Status, Key Factors and Countermeasures—A Literature Review," Sustainability, MDPI, vol. 10(8), pages 1-34, August.
    57. Zhou, D.Q. & Wang, Qunwei & Su, B. & Zhou, P. & Yao, L.X., 2016. "Industrial energy conservation and emission reduction performance in China: A city-level nonparametric analysis," Applied Energy, Elsevier, vol. 166(C), pages 201-209.
    58. Bingquan Liu & Yue Wang & Xuran Chang & Boyang Nie & Lingqi Meng & Yongqing Li, 2022. "Does Land Urbanization Affect the Catch-Up Effect of Carbon Emissions Reduction in China’s Logistics?," Land, MDPI, vol. 11(9), pages 1-18, September.
    59. Xing Zhou & Meihua Zhou & Ming Zhang, 2016. "Contrastive analyses of the influence factors of interprovincial carbon emission induced by industry energy in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(3), pages 1405-1433, April.
    60. Yang, Mian & Hou, Yaru & Ji, Qiang & Zhang, Dayong, 2020. "Assessment and optimization of provincial CO2 emission reduction scheme in China: An improved ZSG-DEA approach," Energy Economics, Elsevier, vol. 91(C).
    61. Rafiq, Shuddhasattwa & Nielsen, Ingrid & Smyth, Russell, 2017. "Effect of internal migration on the environment in China," Energy Economics, Elsevier, vol. 64(C), pages 31-44.
    62. Zhou, Di & Huang, Qing & Chong, Zhaohui, 2022. "Analysis on the effect and mechanism of land misallocation on carbon emissions efficiency: Evidence from China," Land Use Policy, Elsevier, vol. 121(C).
    63. Wang, H. & Zhou, P. & Xie, Bai-Chen & Zhang, N., 2019. "Assessing drivers of CO2 emissions in China's electricity sector: A metafrontier production-theoretical decomposition analysis," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1096-1107.
    64. Azam, Muhammad & Younes, Ben Zaied & Hunjra, Ahmed Imran & Hussain, Nazim, 2022. "Integrated Spatial-Temporal decomposition analysis for life cycle assessment of carbon emission intensity change in various regions of China," Resources Policy, Elsevier, vol. 79(C).
    65. Decai Tang & Tingyu Ma & Zhijiang Li & Jiexin Tang & Brandon J. Bethel, 2016. "Trend Prediction and Decomposed Driving Factors of Carbon Emissions in Jiangsu Province during 2015–2020," Sustainability, MDPI, vol. 8(10), pages 1-15, October.
    66. Chen, Jiandong & Xu, Chong & Cui, Lianbiao & Huang, Shuo & Song, Malin, 2019. "Driving factors of CO2 emissions and inequality characteristics in China: A combined decomposition approach," Energy Economics, Elsevier, vol. 78(C), pages 589-597.
    67. Gao, Ming, 2023. "The impacts of carbon trading policy on China's low-carbon economy based on county-level perspectives," Energy Policy, Elsevier, vol. 175(C).
    68. Cheng Zhang & Ziwei Zhao & Qunwei Wang, 2022. "Effect of Western Development Strategy on carbon productivity and its influencing mechanisms," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(4), pages 4963-5002, April.
    69. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei, 2018. "How does information and communication technology affect China's energy intensity? A three-tier structural decomposition analysis," Energy, Elsevier, vol. 151(C), pages 748-759.
    70. Liu, Xiao & Hang, Ye & Wang, Qunwei & Zhou, Dequn, 2020. "Flying into the future: A scenario-based analysis of carbon emissions from China's civil aviation," Journal of Air Transport Management, Elsevier, vol. 85(C).
    71. Chen, Qingjuan & Wang, Qunwei & Zhou, Dequn & Wang, Honggang, 2023. "Drivers and evolution of low-carbon development in China's transportation industry: An integrated analytical approach," Energy, Elsevier, vol. 262(PB).

59. Bai, Xue-Jie & Yan, Wen-Kai & Chiu, Yung-Ho, 2015. "Performance evaluation of China's Hi-tech zones in the post financial crisis era — Analysis based on the dynamic network SBM model," China Economic Review, Elsevier, vol. 34(C), pages 122-134.

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    1. Lingfan Yang & Xiaolong Luo & Ziyao Ding & Xiaoman Liu & Zongni Gu, 2022. "Restructuring for Growth in Development Zones, China: A Systematic Literature and Policy Review (1984–2022)," Land, MDPI, vol. 11(7), pages 1-32, June.
    2. Xiong, Xi & Yang, Guo-liang & Guan, Zhong-cheng, 2020. "Estimating the multi-period efficiency of high-tech research institutes of the Chinese Academy of Sciences: A dynamic slacks-based measure," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    3. Qiong Wang & Ru Yang & Ruyue Zhao & Chengyuan Wang, 2019. "Does State-level Upgrade of High-tech Zones Promote Urban Innovation Efficiency: Evidence from China," Sustainability, MDPI, vol. 11(21), pages 1-14, November.
    4. Wei Liu & Hong-Bo Shi & Zhe Zhang & Sang-Bing Tsai & Yuming Zhai & Quan Chen & Jiangtao Wang, 2018. "The Development Evaluation of Economic Zones in China," IJERPH, MDPI, vol. 15(1), pages 1-14, January.
    5. Weiwei Yang & Jiaru Kang & Zhiyuan Ge, 2022. "The Impact of the Upgrading of High-tech Zones on the Total Factor Productivity of Enterprises: Evidence from Guasi-natural Experiments," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 12(1), pages 1-7.
    6. Bai, Xue-Jie & Li, Zhen-Yang & Zeng, Jin, 2020. "Performance evaluation of China's innovation during the industry-university-research collaboration process—an analysis basis on the dynamic network slacks-based measurement model," Technology in Society, Elsevier, vol. 62(C).
    7. Lanzhuang Xu & Hu Xue & Qianrong Wu, 2022. "The Impact of Development Zones on Economic Growth in Less Developed Regions: Evidence from Guangxi, China," Land, MDPI, vol. 11(10), pages 1-20, September.
    8. Xionghe Qin & Debin Du & Mei-Po Kwan, 2019. "Spatial spillovers and value chain spillovers: evaluating regional R&D efficiency and its spillover effects in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 721-747, May.
    9. Zhuang, Liang & Ye, Chao, 2020. "Changing imbalance: Spatial production of national high-tech industrial development zones in China (1988-2018)," Land Use Policy, Elsevier, vol. 94(C).
    10. Xionghe Qin & Debin Du, 2017. "Do External or Internal Technology Spillovers Have a Stronger Influence on Innovation Efficiency in China?," Sustainability, MDPI, vol. 9(9), pages 1-17, September.
    11. Siying Yang & Wei Liu & Zhe Zhang, 2022. "The Dynamic Value of China’s High-Tech Zones: Direct and Indirect Influence on Urban Ecological Innovation," Land, MDPI, vol. 11(1), pages 1-19, January.
    12. Xiaobing Yu & Xuejing Wu & Tongzhao Huo, 2020. "Combine MCDM Methods and PSO to Evaluate Economic Benefits of High-Tech Zones in China," Sustainability, MDPI, vol. 12(18), pages 1-20, September.
    13. Mahmoudabadi, Mohammad Zarei & Azar, Adel & Emrouznejad, Ali, 2018. "A novel multilevel network slacks-based measure with an application in electric utility companies," Energy, Elsevier, vol. 158(C), pages 1120-1129.
    14. Wei-Kang Wang & Wen-Min Lu & Qian Long Kweh & Yu-Li Liu, 2017. "Decentralized and concentrated investments in China and the performance of Taiwanese listed electronic companies," Applied Economics, Taylor & Francis Journals, vol. 49(25), pages 2443-2455, May.

60. He, Yan & Chiu, Yung-ho & Zhang, Bin, 2015. "The impact of corporate governance on state-owned and non-state-owned firms efficiency in China," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 252-277.

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    1. Feng Shen & Yunwen Ma & Run Wang & Ningning Pan & Zhiyi Meng, 2019. "Does environmental performance affect financial performance? Evidence from Chinese listed companies in heavily polluting industries," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 1941-1958, July.
    2. Taining Wang & Jinjing Tian & Feng Yao, 2021. "Does high debt ratio influence Chinese firms’ performance? A semiparametric stochastic frontier approach with zero inefficiency," Empirical Economics, Springer, vol. 61(2), pages 587-636, August.
    3. Sonia Yasin & Muhammad Irfan & Muhammad Shaukat Malik & Fasiha Nargis, 2022. "The Relationship between Executive Remuneration and Organizations Efficiency," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 8(3), pages 59-70, December.
    4. Andrea Fracasso & Kun Jiang, 2022. "The performance of private companies in China before and during the global financial crisis: firms’ characteristics and entrepreneurs’ attributes," Economic Change and Restructuring, Springer, vol. 55(2), pages 803-836, May.
    5. Liu Wu & Zhen Shao & Changhui Yang & Tao Ding & Wan Zhang, 2020. "The Impact of CSR and Financial Distress on Financial Performance—Evidence from Chinese Listed Companies of the Manufacturing Industry," Sustainability, MDPI, vol. 12(17), pages 1-19, August.
    6. Kan Wang & Yunpeng Zhang & Li Lei & Shuai Qiu, 2021. "Evaluation on the Efficiency of LED Energy Enterprises in China by Employing the DEA Model," Mathematics, MDPI, vol. 9(19), pages 1-21, September.
    7. Ouyang, Caiyue & Xiong, Jiacai & Huang, Kun, 2020. "Do multiple large shareholders affect tax avoidance? Evidence from China," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 207-224.
    8. Yunhe Li & Faqin Lan, 2021. "The determinants of adjustment speed of board structure: evidence from Chinese listed companies," Review of Managerial Science, Springer, vol. 15(3), pages 725-753, April.
    9. Yan He & Yung-ho Chiu & Bin Zhang, 2020. "Prevaluating Technical Efficiency Gains From Potential Mergers and Acquisitions in China’s Coal Industry," SAGE Open, , vol. 10(3), pages 21582440209, July.

61. Mu-Jen Chen & Yung-ho Chiu & Chyanlong Jan & Yu-Chuan Chen & Hsiang-Hsi Liu, 2015. "Efficiency and Risk in Commercial Banks - Hybrid DEA Estimation," Global Economic Review, Taylor & Francis Journals, vol. 44(3), pages 335-352, September.

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    1. Imad Bou-Hamad & Abdel Latef Anouze & Ibrahim H. Osman, 2022. "A cognitive analytics management framework to select input and output variables for data envelopment analysis modeling of performance efficiency of banks using random forest and entropy of information," Annals of Operations Research, Springer, vol. 308(1), pages 63-92, January.
    2. Ying Li & Yung-ho Chiu & Tai-Yu Lin & Yun Yuan Huang, 2019. "Market share and performance in Taiwanese banks: min/max SBM DEA," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(2), pages 233-252, July.
    3. Ying Li & Yung‐ho Chiu & Ying Yu Chen & Lihua Wang & Yi‐Nuo Lin & Su‐Wan Wang, 2022. "The impact of market share on efficiency of commercial banks: Resampling slacks‐based measure data envelopment analyses model," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(5), pages 1621-1634, July.
    4. Li‐Ting Yeh & Dong‐Shang Chang & Huei‐Min Li, 2022. "Developing a network data envelopment analysis model to measure the efficiency of banking with the governance, innovation, and operations," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(7), pages 2863-2874, October.
    5. Xiao-Ning Li & Ying Feng & Pei-Ying Wu & Yung-Ho Chiu, 2021. "An Analysis of Environmental Efficiency and Environmental Pollution Treatment Efficiency in China’s Industrial Sector," Sustainability, MDPI, vol. 13(5), pages 1-25, February.
    6. Youchao Tan & Yang Zhang & Roohollah Khodaverdi, 2017. "Service performance evaluation using data envelopment analysis and balance scorecard approach: an application to automotive industry," Annals of Operations Research, Springer, vol. 248(1), pages 449-470, January.

62. Pang, Rui-zhi & Deng, Zhong-qi & Chiu, Yung-ho, 2015. "Pareto improvement through a reallocation of carbon emission quotas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 419-430.

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    1. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
    2. Sun, J. & Wen, W. & Wang, M. & Zhou, P., 2022. "Optimizing the provincial target allocation scheme of renewable portfolio standards in China," Energy, Elsevier, vol. 250(C).
    3. Wen-Hsien Tsai & Shi-Yin Jhong, 2018. "Carbon Emissions Cost Analysis with Activity-Based Costing," Sustainability, MDPI, vol. 10(8), pages 1-26, August.
    4. Yang, Mian & Hou, Yaru & Fang, Chao & Duan, Hongbo, 2020. "Constructing energy-consuming right trading system for China's manufacturing industry in 2025," Energy Policy, Elsevier, vol. 144(C).
    5. Wang, Xiaofei & Miao, Chenglin & Wang, Chongmei & Yin, Dawei & Chen, Shaojie & Chen, Lei & Li, Ke, 2022. "Coal production capacity allocation based on efficiency perspective—taking production mines in Shandong Province as an example," Energy Policy, Elsevier, vol. 171(C).
    6. Qunli Wu & Hongjie Zhang, 2019. "Research on Optimization Allocation Scheme of Initial Carbon Emission Quota from the Perspective of Welfare Effect," Energies, MDPI, vol. 12(11), pages 1-27, June.
    7. Yong Wang & Han Zhao & Fumei Duan & Ying Wang, 2018. "Initial Provincial Allocation and Equity Evaluation of China’s Carbon Emission Rights—Based on the Improved TOPSIS Method," Sustainability, MDPI, vol. 10(4), pages 1-27, March.
    8. Fang, Kai & Zhang, Qifeng & Long, Yin & Yoshida, Yoshikuni & Sun, Lu & Zhang, Haoran & Dou, Yi & Li, Shuai, 2019. "How can China achieve its Intended Nationally Determined Contributions by 2030? A multi-criteria allocation of China’s carbon emission allowance," Applied Energy, Elsevier, vol. 241(C), pages 380-389.
    9. Yali Zhang & Yihan Wang & Xiaoshu Hou, 2019. "Carbon Mitigation for Industrial Sectors in the Jing-Jin-Ji Urban Agglomeration, China," Sustainability, MDPI, vol. 11(22), pages 1-13, November.
    10. Feng, Zhiying & Tang, Wenhu & Niu, Zhewen & Wu, Qinghua, 2018. "Bi-level allocation of carbon emission permits based on clustering analysis and weighted voting: A case study in China," Applied Energy, Elsevier, vol. 228(C), pages 1122-1135.
    11. Shihong Zeng & Yan Xu & Liming Wang & Jiuying Chen & Qirong Li, 2016. "Forecasting the Allocative Efficiency of Carbon Emission Allowance Financial Assets in China at the Provincial Level in 2020," Energies, MDPI, vol. 9(5), pages 1-18, May.
    12. Zhao, Jiqiang & Wu, Xianhua & Guo, Ji & Gao, Chao, 2022. "Allocation of SO2 emission rights in city agglomerations considering cross-border transmission of pollutants: A new network DEA model," Applied Energy, Elsevier, vol. 325(C).
    13. Fan Yang & Yongrok Choi & Hyoungsuk Lee, 2021. "Convergence or Divergence? Emission Performance in the Regional Comprehensive Economic Partnership Countries," Sustainability, MDPI, vol. 13(18), pages 1-15, September.
    14. Zuoren Sun & Rundong Luo & Dequn Zhou, 2015. "Optimal Path for Controlling Sectoral CO 2 Emissions Among China’s Regions: A Centralized DEA Approach," Sustainability, MDPI, vol. 8(1), pages 1-20, December.
    15. Jiekun Song & Rui Chen & Xiaoping Ma, 2022. "Provincial Allocation of Energy Consumption, Air Pollutant and CO 2 Emission Quotas in China: Based on a Weighted Environment ZSG-DEA Model," Sustainability, MDPI, vol. 14(4), pages 1-21, February.
    16. Ciardiello, F. & Genovese, A. & Simpson, A., 2019. "Pollution responsibility allocation in supply networks: A game-theoretic approach and a case study," International Journal of Production Economics, Elsevier, vol. 217(C), pages 211-217.
    17. Song, Yazhi & Liu, Tiansen & Li, Yin & Zhu, Yue & Ye, Bin, 2022. "Paths and policy adjustments for improving carbon-market liquidity in China," Energy Economics, Elsevier, vol. 115(C).
    18. Zhaohua, Wang & Jingyun, Li & Bin, Lu & Bo, Wang & Bin, Zhang & Kaining, Sun & Mao, Fan, 2023. "Effectiveness and risk of initial carbon quota allocation principle under the uncertainty of the Chinese electricity market," China Economic Review, Elsevier, vol. 77(C).
    19. Yang, Mian & Hou, Yaru & Ji, Qiang & Zhang, Dayong, 2020. "Assessment and optimization of provincial CO2 emission reduction scheme in China: An improved ZSG-DEA approach," Energy Economics, Elsevier, vol. 91(C).
    20. Yang, Fan & Lee, Hyoungsuk, 2022. "An innovative provincial CO2 emission quota allocation scheme for Chinese low-carbon transition," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    21. Jianguo Zhou & Yushuo Li & Xuejing Huo & Xiaolei Xu, 2019. "How to Allocate Carbon Emission Permits Among China’s Industrial Sectors Under the Constraint of Carbon Intensity?," Sustainability, MDPI, vol. 11(3), pages 1-21, February.
    22. Wei Jiang & Jia Liu & Xiang Liu, 2016. "Impact of Carbon Quota Allocation Mechanism on Emissions Trading: An Agent-Based Simulation," Sustainability, MDPI, vol. 8(8), pages 1-13, August.

63. Huang, Chin-wei & Chiu, Yung-ho & Fang, Wei-ta & Shen, Neng, 2014. "Assessing the performance of Taiwan’s environmental protection system with a non-radial network DEA approach," Energy Policy, Elsevier, vol. 74(C), pages 547-556.

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    1. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    2. Huang, Chin-wei, 2018. "Assessing the performance of tourism supply chains by using the hybrid network data envelopment analysis model," Tourism Management, Elsevier, vol. 65(C), pages 303-316.
    3. Khalid Mehmood & Yaser Iftikhar & Shouming Chen & Shaheera Amin & Alia Manzoor & Jinlong Pan, 2020. "Analysis of Inter-Temporal Change in the Energy and CO 2 Emissions Efficiency of Economies: A Two Divisional Network DEA Approach," Energies, MDPI, vol. 13(13), pages 1-17, June.
    4. Wei-Ta Fang & Yi-Te Chiang & Eric Ng & Jen-Chieh Lo, 2019. "Using the Norm Activation Model to Predict the Pro-Environmental Behaviors of Public Servants at the Central and Local Governments in Taiwan," Sustainability, MDPI, vol. 11(13), pages 1-20, July.
    5. Tao Ding & Zhixiang Zhou & Qianzhi Dai & Liang Liang, 2020. "Analysis of China’s Regional Economic Environmental Performance: A Non-radial Multi-objective DEA Approach," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1209-1231, April.
    6. Zeng, Shihong & Jiang, Chunxia & Ma, Chen & Su, Bin, 2018. "Investment efficiency of the new energy industry in China," Energy Economics, Elsevier, vol. 70(C), pages 536-544.
    7. Li, Hai-ling & Zhu, Xue-hong & Chen, Jin-yu & Jiang, Fei-tao, 2019. "Environmental regulations, environmental governance efficiency and the green transformation of China's iron and steel enterprises," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
    8. Fenfen Li & Bo Dai & Qifan Wu, 2021. "Dynamic Green Growth Assessment of China’s Industrial System with an Improved SBM Model and Global Malmquist Index," Mathematics, MDPI, vol. 9(20), pages 1-26, October.
    9. Ji, Yuhang & Lei, Yalin & Li, Li & Zhang, An & Wu, Sanmang & Li, Qun, 2021. "Evaluation of the implementation effects and the influencing factors of resource tax in China," Resources Policy, Elsevier, vol. 72(C).
    10. Konstantinos Petridis & Prasanta Kumar Dey, 2018. "Measuring incineration plants’ performance using combined data envelopment analysis, goal programming and mixed integer linear programming," Annals of Operations Research, Springer, vol. 267(1), pages 467-491, August.
    11. Tian, Ying & Feng, Chao, 2022. "The internal-structural effects of different types of environmental regulations on China's green total-factor productivity," Energy Economics, Elsevier, vol. 113(C).
    12. Xiang Chen & Xuping Zhang & Xin Wu & Ching-Cheng Lu, 2022. "The environmental health and energy efficiency in China: A network slacks-based measure," Energy & Environment, , vol. 33(1), pages 170-188, February.
    13. Li, Ke & Lin, Boqiang, 2016. "Impact of energy conservation policies on the green productivity in China’s manufacturing sector: Evidence from a three-stage DEA model," Applied Energy, Elsevier, vol. 168(C), pages 351-363.

64. Huang, Chin-wei & Ho, Foo Nin & Chiu, Yung-ho, 2014. "Measurement of tourist hotels׳ productive efficiency, occupancy, and catering service effectiveness using a modified two-stage DEA model in Taiwan," Omega, Elsevier, vol. 48(C), pages 49-59.

    Cited by:

    1. Lee, Boon L. & Worthington, Andrew C., 2016. "A network DEA quantity and quality-orientated production model: An application to Australian university research services," Omega, Elsevier, vol. 60(C), pages 26-33.
    2. Meryem Duygun & Diego Prior & Mohamed Shaban & Emili Tortosa-Ausina, 2015. "Disentangling the European Airlines efficiency puzzle:A network data envelopment analysis approach," Working Papers 2015/04, Economics Department, Universitat Jaume I, Castellón (Spain).
       • Duygun, Meryem & Prior, Diego & Shaban, Mohamed & Tortosa-Ausina, Emili, 2016. "Disentangling the European airlines efficiency puzzle: A network data envelopment analysis approach," Omega, Elsevier, vol. 60(C), pages 2-14.
    3. Alberca-Oliver, Pilar & Rodríguez-Oromendía, Ainhoa & Parte-Esteban, Laura, 2015. "Measuring the efficiency of trade shows: A Spanish case study," Tourism Management, Elsevier, vol. 47(C), pages 127-137.
    4. Galagedera, Don U.A. & Watson, John & Premachandra, I.M. & Chen, Yao, 2016. "Modeling leakage in two-stage DEA models: An application to US mutual fund families," Omega, Elsevier, vol. 61(C), pages 62-77.
    5. A. George Assaf & Alexander Josiassen & Haemoon Oh, 2016. "Internationalization and hotel performance," Tourism Economics, , vol. 22(3), pages 572-592, June.
    6. Ying Li & Yung-Ho Chiu & Liang Chun Lu, 2018. "Regional Energy, CO 2 , and Economic and Air Quality Index Performances in China: A Meta-Frontier Approach," Energies, MDPI, vol. 11(8), pages 1-20, August.
    7. Huang, Chin-wei, 2018. "Assessing the performance of tourism supply chains by using the hybrid network data envelopment analysis model," Tourism Management, Elsevier, vol. 65(C), pages 303-316.
    8. Tanja Planinc & Marko Kukanja & Saša Planinc, 2018. "Classification and Efficiency Analysis of Slovenian Restaurant SMEs," Academica Turistica - Tourism and Innovation Journal, University of Primorska Press, vol. 11(1), pages 31-42.
    9. Pengzhen Yin & Min Yang & Ranran Yang, 2020. "Investigating the Effects of IT Capability on Hotel Performance Based on DEA Approach: An Empirical Example of International Hotels in Hong Kong," Sustainability, MDPI, vol. 12(17), pages 1-17, August.
    10. Wen‐Min Lu & Qian Long Kweh & Dong‐Sing He & Jui‐Min Shih, 2017. "Performance analysis of the cultural and creative industry: a network‐based approach," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(8), pages 662-676, December.
    11. Athanasia Karakitsiou & Markos Kourgiantakis & Athanasia Mavrommati & Athanasios Migdalas, 2020. "Regional efficiency evaluation by input-oriented data envelopment analysis of hotel and restaurant sector," Operational Research, Springer, vol. 20(4), pages 2041-2058, December.
    12. Amado, Carla A.F. & Santos, Sérgio P. & Serra, Jaime M.M., 2017. "Does partial privatisation improve performance? Evidence from a chain of hotels in Portugal," Journal of Business Research, Elsevier, vol. 73(C), pages 9-19.
    13. Assaf, A. George & Tsionas, Mike G., 2019. "A review of research into performance modeling in tourism research - Launching the Annals of Tourism Research curated collection on performance modeling in tourism research," Annals of Tourism Research, Elsevier, vol. 76(C), pages 266-277.
    14. Walheer, Barnabé, 2023. "Meta-frontier and technology switchers: A nonparametric approach," European Journal of Operational Research, Elsevier, vol. 305(1), pages 463-474.
    15. Visani, Franco & Boccali, Filippo, 2020. "Purchasing price assessment of leverage items: A Data Envelopment Analysis approach," International Journal of Production Economics, Elsevier, vol. 223(C).
    16. Somayeh Soheilirad & Kannan Govindan & Abbas Mardani & Edmundas Kazimieras Zavadskas & Mehrbakhsh Nilashi & Norhayati Zakuan, 2018. "Application of data envelopment analysis models in supply chain management: a systematic review and meta-analysis," Annals of Operations Research, Springer, vol. 271(2), pages 915-969, December.
    17. Eucabeth Majiwa & Boon L. Lee & Clevo Wilson & Hidemichi Fujii & Shunsuke Managi, 2018. "A network data envelopment analysis (NDEA) model of post-harvest handling: the case of Kenya’s rice processing industry," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(3), pages 631-648, June.
    18. Ang, Sheng & Chen, Chien-Ming, 2016. "Pitfalls of decomposition weights in the additive multi-stage DEA model," Omega, Elsevier, vol. 58(C), pages 139-153.
    19. Yin, Pengzhen & Chu, Junfei & Wu, Jie & Ding, Jingjing & Yang, Min & Wang, Yuhong, 2020. "A DEA-based two-stage network approach for hotel performance analysis: An internal cooperation perspective," Omega, Elsevier, vol. 93(C).
    20. Manuela Pulina & Valentina Santoni, 2018. "A two-stage DEA approach to analyse the efficiency of the hospitality sector," Tourism Economics, , vol. 24(3), pages 352-365, May.
    21. Ghulam, Yaseen & Jaffry, Shabbar, 2015. "Efficiency and productivity of the cement industry: Pakistani experience of deregulation and privatisation," Omega, Elsevier, vol. 54(C), pages 101-115.
    22. Liu, Wenbin & Zhou, Zhongbao & Ma, Chaoqun & Liu, Debin & Shen, Wanfang, 2015. "Two-stage DEA models with undesirable input-intermediate-outputs," Omega, Elsevier, vol. 56(C), pages 74-87.
    23. Jomthanachai, Suriyan & Wong, Wai-Peng & Soh, Keng-Lin & Lim, Chee-Peng, 2022. "A global trade supply chain vulnerability in COVID-19 pandemic: An assessment metric of risk and resilience-based efficiency of CoDEA method," Research in Transportation Economics, Elsevier, vol. 93(C).
    24. Hsiao-Yin Chen & Chin-wei Huang & Yung-Ho Chiu, 2017. "An intertemporal efficiency and technology measurement for tourist hotel," Journal of Productivity Analysis, Springer, vol. 48(1), pages 85-96, August.
    25. Polemis, Michael & Stengos, Thanasis & Tzeremes, Nickolaos, 2018. "Modeling the effect of competition using robust conditional nonparametric frontiers: Evidence from U.S. manufacturing sector," MPRA Paper 89240, University Library of Munich, Germany.
    26. Mahdiloo, Mahdi & Toloo, Mehdi & Duong, Thach-Thao & Farzipoor Saen, Reza & Tatham, Peter, 2018. "Integrated data envelopment analysis: Linear vs. nonlinear model," European Journal of Operational Research, Elsevier, vol. 268(1), pages 255-267.
    27. Du, Juan & Chen, Yao & Huo, Jiazhen, 2015. "DEA for non-homogenous parallel networks," Omega, Elsevier, vol. 56(C), pages 122-132.
    28. Boccali, Filippo & Mariani, Marcello M. & Visani, Franco & Mora-Cruz, Alexandra, 2022. "Innovative value-based price assessment in data-rich environments: Leveraging online review analytics through Data Envelopment Analysis to empower managers and entrepreneurs," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    29. Ho, Foo Nin & Huang, Chin-wei, 2020. "The interdependencies of marketing capabilities and operations efficiency in hospitals," Journal of Business Research, Elsevier, vol. 113(C), pages 337-347.

65. Lu, Ching-Cheng & Chiu, Yung-Ho & Shyu, Ming-Kuang & Lee, Jen-Hui, 2013. "Measuring CO2 emission efficiency in OECD countries: Application of the Hybrid Efficiency model," Economic Modelling, Elsevier, vol. 32(C), pages 130-135.

    Cited by:

    1. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    2. Borozan, Djula, 2018. "Technical and total factor energy efficiency of European regions: A two-stage approach," Energy, Elsevier, vol. 152(C), pages 521-532.
    3. Jebali, Eya & Essid, Hédi & Khraief, Naceur, 2017. "The analysis of energy efficiency of the Mediterranean countries: A two-stage double bootstrap DEA approach," Energy, Elsevier, vol. 134(C), pages 991-1000.
    4. Georgia Makridou, Kostas Andriosopoulos, Michael Doumpos, and Constantin Zopounidis, 2015. "A Two-stage approach for energy efficiency analysis in European Union countries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    5. Khalid Mehmood & Yaser Iftikhar & Shouming Chen & Shaheera Amin & Alia Manzoor & Jinlong Pan, 2020. "Analysis of Inter-Temporal Change in the Energy and CO 2 Emissions Efficiency of Economies: A Two Divisional Network DEA Approach," Energies, MDPI, vol. 13(13), pages 1-17, June.
    6. Hang, Ye & Sun, Jiasen & Wang, Qunwei & Zhao, Zengyao & Wang, Yizhong, 2015. "Measuring energy inefficiency with undesirable outputs and technology heterogeneity in Chinese cities," Economic Modelling, Elsevier, vol. 49(C), pages 46-52.
    7. Azam, Muhammad & Khan, Abdul Qayyum & Zaman, Khalid & Ahmad, Mehboob, 2015. "Factors determining energy consumption: Evidence from Indonesia, Malaysia and Thailand," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1123-1131.
    8. Iftikhar, Yaser & Wang, Zhaohua & Zhang, Bin & Wang, Bo, 2018. "Energy and CO2 emissions efficiency of major economies: A network DEA approach," Energy, Elsevier, vol. 147(C), pages 197-207.
    9. Ling Wang & Zhongchang Chen & Dalai Ma & Pei Zhao, 2013. "Measuring Carbon Emissions Performance in 123 Countries: Application of Minimum Distance to the Strong Efficiency Frontier Analysis," Sustainability, MDPI, vol. 5(12), pages 1-14, December.
    10. Jie Wu & Xiang Lu & Dong Guo & Liang Liang, 2017. "Slacks-Based Efficiency Measurements with Undesirable Outputs in Data Envelopment Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 1005-1021, July.
    11. Jin, Jingliang & Zhou, Dequn & Zhou, Peng, 2014. "Measuring environmental performance with stochastic environmental DEA: The case of APEC economies," Economic Modelling, Elsevier, vol. 38(C), pages 80-86.
    12. Yigang Wei & Yan Li & Meiyu Wu & Yingbo Li, 2020. "Progressing sustainable development of “the Belt and Road countries”: Estimating environmental efficiency based on the Super‐slack‐based measure model," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 521-539, July.
    13. Zhang, Yue-Jun & Hao, Jun-Fang & Song, Juan, 2016. "The CO2 emission efficiency, reduction potential and spatial clustering in China’s industry: Evidence from the regional level," Applied Energy, Elsevier, vol. 174(C), pages 213-223.
    14. Xiaoling Wang & Feng He & Linfeng Zhang & Lili Chen, 2018. "Energy Efficiency of China’s Iron and Steel Industry from the Perspective of Technology Heterogeneity," Energies, MDPI, vol. 11(5), pages 1-11, May.
    15. Ikram Ullah Khan & Sadaqat Ali & Habib Nawaz Khan, 2018. "Market Concentration, Risk-taking, and Efficiency of Commercial Banks in Pakistan: An Application of the Two-Stage Double Bootstrap DEA," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 10(2), pages 65-96, June.
    16. Zhang, Ning & Kong, Fanbin & Choi, Yongrok, 2014. "Measuring sustainability performance for China: A sequential generalized directional distance function approach," Economic Modelling, Elsevier, vol. 41(C), pages 392-397.
    17. Qian Wang & Duo Li & Tzu-Han Chang, 2019. "Energy and Health Efficiencies in China with the Inclusion of Technological Innovation," IJERPH, MDPI, vol. 16(21), pages 1-20, October.
    18. Zhang, Yue-Jun & Sun, Ya-Fang & Huang, Junling, 2018. "Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment," Energy Policy, Elsevier, vol. 115(C), pages 119-130.
    19. Fazil Gokgoz & Serap Pelin Turkoglu, 2017. "Investigating the energy efficiencies of OECD countries via a slack-based undesirable output model," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2017(3), pages 73-94.
    20. Arjomandi, Amir & Seufert, Juergen Heinz, 2014. "An evaluation of the world's major airlines' technical and environmental performance," Economic Modelling, Elsevier, vol. 41(C), pages 133-144.
    21. Wang, Qunwei & Zhao, Zengyao & Zhou, Peng & Zhou, Dequn, 2013. "Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach," Economic Modelling, Elsevier, vol. 35(C), pages 283-289.
    22. Moradi-Motlagh, Amir & Babacan, Alperhan, 2015. "The impact of the global financial crisis on the efficiency of Australian banks," Economic Modelling, Elsevier, vol. 46(C), pages 397-406.
    23. Pérez, Karen & González-Araya, Marcela C. & Iriarte, Alfredo, 2017. "Energy and GHG emission efficiency in the Chilean manufacturing industry: Sectoral and regional analysis by DEA and Malmquist indexes," Energy Economics, Elsevier, vol. 66(C), pages 290-302.
    24. Ding, Li-Li & Lei, Liang & Zhao, Xin & Calin, Adrian Cantemir, 2020. "Modelling energy and carbon emission performance: A constrained performance index measure," Energy, Elsevier, vol. 197(C).
    25. Zhang, Bin & Lu, Danting & He, Yan & Chiu, Yung-ho, 2018. "The efficiencies of resource-saving and environment: A case study based on Chinese cities," Energy, Elsevier, vol. 150(C), pages 493-507.
    26. Chiang-Ping Chen & Ming-Chung Chang & Wei-Che Tsai, 2021. "Dynamic Energy Efficiency, Energy Decoupling Rate, and Decarbonization: Evidence from ASEAN+6," SAGE Open, , vol. 11(3), pages 21582440211, September.

66. Chiu, Yung-ho & Luo, Zhengying & Chen, Yu-Chuan & Wang, Zebin & Tsai, Min-Pei, 2013. "A comparison of operating performance management between Taiwan banks and foreign banks based on the Meta-Hybrid DEA model," Economic Modelling, Elsevier, vol. 33(C), pages 433-439.

    Cited by:

    1. Shiyi Chen & Wolfgang K. Härdle & Li Wang, 2020. "Estimation and determinants of Chinese banks’ total factor efficiency: a new vision based on unbalanced development of Chinese banks and their overall risk," Computational Statistics, Springer, vol. 35(2), pages 427-468, June.
       • Chen, Shiyi & Härdle, Wolfgang Karl & Wang, Li, 2020. "Estimation and Determinants of Chinese Banks’ Total Factor Efficiency: A New Vision Based on Unbalanced Development of Chinese Banks and Their Overall Risk," IRTG 1792 Discussion Papers 2020-001, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    2. Li-Hua Lai & Li-Chin Hung & Chau-Jung Kuo, 2016. "Do Well-Financial Holding Company Organized Banks in Taiwan Take More Risk?," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 19(04), pages 1-30, December.
    3. Yung‐ho Chiu & Tai‐Yu Lin & Tzu‐Han Chang & Yi‐Nuo Lin & Shih‐Yung Chiu, 2021. "Prevaluating efficiency gains from potential mergers and acquisitions in the financial industry with the Resample Past–Present–Future data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(2), pages 369-384, March.
    4. Czyżewski, Bazyli & Kryszak, Łukasz, 2023. "Can a pursuit of productivity be reconciled with sustainable practices in small-scale farming? – Evidence from central and eastern Europe," MPRA Paper 117642, University Library of Munich, Germany, revised 31 May 2023.
    5. Gulati, Rachita & Kumar, Sunil, 2016. "Assessing the impact of the global financial crisis on the profit efficiency of Indian banks," Economic Modelling, Elsevier, vol. 58(C), pages 167-181.
    6. Ruey-Chyn Tsaur & I-Fei Chen & Yu-Shan Chan, 2017. "TFT-LCD industry performance analysis and evaluation using GRA and DEA models," International Journal of Production Research, Taylor & Francis Journals, vol. 55(15), pages 4378-4391, August.
    7. Wei-Kang Wang & Wen-Min Lu & Qian Long Kweh & Mohammad Nourani & Rong-Suei Hong, 2021. "Interlocking directorates and dynamic corporate performance: the roles of centrality, structural holes and number of connections in social networks," Review of Managerial Science, Springer, vol. 15(2), pages 437-457, February.
    8. Chuang-Min Chao & Ming-Miin Yu & Nan-Hsing Hsiung & Li-Hsueh Chen, 2018. "Profitability efficiency, marketability efficiency and technology gaps in Taiwan’s banking industry: meta-frontier network data envelopment analysis," Applied Economics, Taylor & Francis Journals, vol. 50(3), pages 233-250, January.
    9. Ying Li & Yung‐ho Chiu & Ying Yu Chen & Lihua Wang & Yi‐Nuo Lin & Su‐Wan Wang, 2022. "The impact of market share on efficiency of commercial banks: Resampling slacks‐based measure data envelopment analyses model," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(5), pages 1621-1634, July.
    10. Zhang, Ning & Zhao, Yu & Wang, Na, 2022. "Is China's energy policy effective for power plants? Evidence from the 12th Five-Year Plan energy saving targets," Energy Economics, Elsevier, vol. 112(C).
    11. Zha, Yong & Liang, Nannan & Wu, Maoguo & Bian, Yiwen, 2016. "Efficiency evaluation of banks in China: A dynamic two-stage slacks-based measure approach," Omega, Elsevier, vol. 60(C), pages 60-72.
    12. Chan, Sok-Gee & Aktan, Bora & Burton, Bruce & Koh, Eric H.Y., 2021. "The impact of soft information and institutional quality on foreign bank efficiency – Evidence from ASEAN-5 countries," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 23-32.
    13. Shiyi Chen & Wolfgang K. Härdle & Li Wang, 2014. "Estimation and Determinants of Chinese Banks’ Total Factor Efficiency: A New Vision Based on Unbalanced Development of Chinese Banks and Their Overall Risk," SFB 649 Discussion Papers SFB649DP2014-068, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

67. Chen, Yu-Chuan & Chiu, Yung-Ho & Huang, Chin-Wei & Tu, Chien Heng, 2013. "The analysis of bank business performance and market risk—Applying Fuzzy DEA," Economic Modelling, Elsevier, vol. 32(C), pages 225-232.

    Cited by:

    1. Hosseinzadeh, Ahmad & Smyth, Russell & Valadkhani, Abbas & Le, Viet, 2016. "Analyzing the efficiency performance of major Australian mining companies using bootstrap data envelopment analysis," Economic Modelling, Elsevier, vol. 57(C), pages 26-35.
    2. Yousefi, Samuel & Mohamadpour Tosarkani, Babak, 2022. "An analytical approach for evaluating the impact of blockchain technology on sustainable supply chain performance," International Journal of Production Economics, Elsevier, vol. 246(C).
    3. Mandic, Ksenija & Delibasic, Boris & Knezevic, Snezana & Benkovic, Sladjana, 2014. "Analysis of the financial parameters of Serbian banks through the application of the fuzzy AHP and TOPSIS methods," Economic Modelling, Elsevier, vol. 43(C), pages 30-37.
    4. Han, Yongming & Geng, Zhiqiang & Zhu, Qunxiong & Qu, Yixin, 2015. "Energy efficiency analysis method based on fuzzy DEA cross-model for ethylene production systems in chemical industry," Energy, Elsevier, vol. 83(C), pages 685-695.
    5. Vera-Gilces, Paul & Camino-Mogro, Segundo & Ordeñana-Rodríguez, Xavier & Cornejo-Marcos, Gino, 2020. "A look inside banking profitability: Evidence from a dollarized emerging country," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 147-166.
    6. Barros, C.P. & Emrouznejad, Ali, 2016. "Assessing productive efficiency of banks using integrated Fuzzy-DEA and bootstrapping: A case of Mozambican banksAuthor-Name: Wanke, Peter," European Journal of Operational Research, Elsevier, vol. 249(1), pages 378-389.
    7. Xiaohong Liu & Feng Yang & Jie Wu, 2020. "DEA considering technological heterogeneity and intermediate output target setting: the performance analysis of Chinese commercial banks," Annals of Operations Research, Springer, vol. 291(1), pages 605-626, August.
    8. Lina Novickytė & Jolanta Droždz, 2018. "Measuring the Efficiency in the Lithuanian Banking Sector: The DEA Application," IJFS, MDPI, vol. 6(2), pages 1-15, March.
    9. Isnurhadi & Sulastri & Yulia Saftiana & Ferry Jie, 2022. "Banking Industry Sustainable Growth Rate under Risk: Empirical Study of the Banking Industry in ASEAN Countries," Sustainability, MDPI, vol. 15(1), pages 1-21, December.
    10. Hashem Omrani & Arash Alizadeh & Ali Emrouznejad & Zeynab Oveysi, 2023. "A novel best‐worst‐method two‐stage data envelopment analysis model considering decision makers' preferences: An application in bank branches evaluation," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 3593-3610, October.
    11. Utsav Pandey & Sanjeet Singh, 2022. "Data envelopment analysis in hierarchical category structure with fuzzy boundaries," Annals of Operations Research, Springer, vol. 315(2), pages 1517-1549, August.
    12. Wanke, Peter & Barros, C.P. & Nwaogbe, Obioma R., 2016. "Assessing productive efficiency in Nigerian airports using Fuzzy-DEA," Transport Policy, Elsevier, vol. 49(C), pages 9-19.

68. Yung-ho Chiu & Chin-wei Huang & Chung-te Ting, 2012. "A non-radial measure of different systems for Taiwanese tourist hotels’ efficiency assessment," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(1), pages 45-63, March.

    Cited by:

    1. Hung‐Hao Chang & D. Daniel Sokol, 2022. "How incumbents respond to competition from innovative disruptors in the sharing economy—The impact of Airbnb on hotel performance," Strategic Management Journal, Wiley Blackwell, vol. 43(3), pages 425-446, March.
    2. David Fang & Ming‐Ching Hsueh & Ching‐Ren Chiu, 2020. "An investigation of international hotel productivity considering quasifixed inputs and negative outputs," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 380-388, April.
    3. Chin‐wei Huang & Hsiao‐Yin Chen, 2023. "Using nonradial metafrontier data envelopment analysis to evaluate the metatechnology and metafactor ratios for the Taiwanese hotel industry," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 1904-1919, June.
    4. Duyen Nhat Lam Tran & Tien Dinh Nguyen & Thuy Thu Pham & Roberto F. Rañola & Thinh An Nguyen, 2021. "Improving Irrigation Water Use Efficiency of Robusta Coffee ( Coffea canephora ) Production in Lam Dong Province, Vietnam," Sustainability, MDPI, vol. 13(12), pages 1-17, June.
    5. Zutao Deng & Yan Gao & Bin Liang & Alastair M Morrison, 2020. "Efficiency evaluation of hotel operations in Mainland China based on the superefficiency SBM model," Tourism Economics, , vol. 26(2), pages 276-298, March.

69. Yung-ho Chiu & Chin-wei Huang & Yu-Chuan Chen, 2012. "The R&D value-chain efficiency measurement for high-tech industries in China," Asia Pacific Journal of Management, Springer, vol. 29(4), pages 989-1006, December.

    Cited by:

    1. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    2. Zhu, Lin & Luo, Jian & Dong, Qingli & Zhao, Yang & Wang, Yunyue & Wang, Yong, 2021. "Green technology innovation efficiency of energy-intensive industries in China from the perspective of shared resources: Dynamic change and improvement path," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    3. Chen, Xiafei & Liu, Zhiying & Zhu, Qingyuan, 2020. "Reprint of "Performance evaluation of China's high-tech innovation process :Analysis based on the innovation value chain"," Technovation, Elsevier, vol. 94.
    4. Shi, Xing & Wu, Yanrui & Fu, Dahai, 2020. "Does University-Industry collaboration improve innovation efficiency? Evidence from Chinese Firms⋄," Economic Modelling, Elsevier, vol. 86(C), pages 39-53.
    5. Hyojung Kim & Namgyoo Park & Jeonghwan Lee, 2014. "How does the second-order learning process moderate the relationship between innovation inputs and outputs of large Korean firms?," Asia Pacific Journal of Management, Springer, vol. 31(1), pages 69-103, March.
    6. Wei Liu & Chunquan Yu & Shixiong Cheng & Jingyi Xu & Yuzhao Wu, 2020. "China’s Carbon Emissions and Trading Pilot, Political Connection, and Innovation Input of Publicly Listed Private Firms," IJERPH, MDPI, vol. 17(17), pages 1-18, August.
    7. Lin, Shoufu & Lin, Ruoyun & Sun, Ji & Wang, Fei & Wu, Weixiang, 2021. "Dynamically evaluating technological innovation efficiency of high-tech industry in China: Provincial, regional and industrial perspective," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
    8. Xiao, Huijuan & Wang, Daoping & Qi, Yu & Shao, Shuai & Zhou, Ya & Shan, Yuli, 2021. "The governance-production nexus of eco-efficiency in Chinese resource-based cities: A two-stage network DEA approach," Energy Economics, Elsevier, vol. 101(C).
    9. Xiafei Chen & Zhiying Liu & Chaoliang Ma, 2017. "Chinese innovation-driving factors: regional structure, innovation effect, and economic development—empirical research based on panel data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(1), pages 43-68, July.
    10. Zhong, Meirui & Huang, Gangli & He, Ruifang, 2022. "The technological innovation efficiency of China's lithium-ion battery listed enterprises: Evidence from a three-stage DEA model and micro-data," Energy, Elsevier, vol. 246(C).
    11. Chen, Xiafei & Liu, Zhiying & Zhu, Qingyuan, 2018. "Performance evaluation of China's high-tech innovation process: Analysis based on the innovation value chain," Technovation, Elsevier, vol. 74, pages 42-53.
    12. Ti-An Chen, 2022. "Business Performance Evaluation for Tourism Factory: Using DEA Approach and Delphi Method," Sustainability, MDPI, vol. 14(15), pages 1-19, July.
    13. Wang, Qunwei & Hang, Ye & Sun, Licheng & Zhao, Zengyao, 2016. "Two-stage innovation efficiency of new energy enterprises in China: A non-radial DEA approach," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 254-261.
    14. Liu, Hui-hui & Yang, Guo-liang & Liu, Xiao-xiao & Song, Yao-yao, 2020. "R&D performance assessment of industrial enterprises in China: A two-stage DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    15. Dongphil Chun & Yanghon Chung & Chungwon Woo & Hangyeol Seo & Hyesoo Ko, 2015. "Labor Union Effects on Innovation and Commercialization Productivity: An Integrated Propensity Score Matching and Two-Stage Data Envelopment Analysis," Sustainability, MDPI, vol. 7(5), pages 1-19, April.
    16. Wan, Qunchao & Chen, Jin & Yao, Zhu & Yuan, Ling, 2022. "Preferential tax policy and R&D personnel flow for technological innovation efficiency of China's high-tech industry in an emerging economy," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    17. Ebersberger, Bernd & Feit, Margarita & Mengis, Helen, 2023. "International knowledge interactions and catch-up. Evidence from European patent data for Chinese latecomer firms," International Business Review, Elsevier, vol. 32(2).

70. Chiu, Yung-Ho & Lee, Jen-Hui & Lu, Ching-Cheng & Shyu, Ming-Kuang & Luo, Zhengying, 2012. "The technology gap and efficiency measure in WEC countries: Application of the hybrid meta frontier model," Energy Policy, Elsevier, vol. 51(C), pages 349-357.

    Cited by:

    1. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    2. Sadaf Hafeez & Noreen Izza Arshad & Lukman Bin A B Rahim & Muhammad Farooq Shabbir & Jawad Iqbal, 2020. "Innovation in Chinese internet companies: A meta-frontier analysis," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-15, May.
    3. He, Yan & Chiu, Yung-ho & Zhang, Bin, 2015. "The impact of corporate governance on state-owned and non-state-owned firms efficiency in China," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 252-277.
    4. Sueyoshi, Toshiyuki & Yuan, Yan & Li, Aijun & Wang, Daoping, 2017. "Methodological comparison among radial, non-radial and intermediate approaches for DEA environmental assessment," Energy Economics, Elsevier, vol. 67(C), pages 439-453.
    5. Wang, Nannan & Chen, Ji & Yao, Shengnan & Chang, Yen-Chiang, 2018. "A meta-frontier DEA approach to efficiency comparison of carbon reduction technologies on project level," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2606-2612.
    6. Sueyoshi, Toshiyuki & Yuan, Yan, 2016. "Marginal Rate of Transformation and Rate of Substitution measured by DEA environmental assessment: Comparison among European and North American nations," Energy Economics, Elsevier, vol. 56(C), pages 270-287.
    7. Gowangwoo Park & Seok-Kee Lee & Kanghwa Choi, 2021. "Evaluating the Service Operating Efficiency and Its Determinants in Global Consulting Firms: A Metafrontier Analysis," Sustainability, MDPI, vol. 13(18), pages 1-18, September.

71. Yung-Ho Chiu & Chin-Wei Huang & Chung-Te Ting, 2011. "Measuring The Repair Performance For Stricken Cultivated Land And Agricultural Efficiency In China With A Modified Two-Stage Dea Model," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 28(05), pages 633-649.

    Cited by:

    1. Huang, Chin-wei & Chiu, Yung-ho & Fang, Wei-ta & Shen, Neng, 2014. "Assessing the performance of Taiwan’s environmental protection system with a non-radial network DEA approach," Energy Policy, Elsevier, vol. 74(C), pages 547-556.
    2. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    3. Mergoni, Anna & Soncin, Mara & Agasisti, Tommaso, 2023. "The effect of ICT on schools’ efficiency: Empirical evidence on 23 European countries," Omega, Elsevier, vol. 119(C).
    4. Qianru Chen & Hualin Xie, 2019. "Temporal-Spatial Differentiation and Optimization Analysis of Cultivated Land Green Utilization Efficiency in China," Land, MDPI, vol. 8(11), pages 1-17, October.
    5. Ho, Foo Nin & Huang, Chin-wei, 2020. "The interdependencies of marketing capabilities and operations efficiency in hospitals," Journal of Business Research, Elsevier, vol. 113(C), pages 337-347.

72. Yung-Ho Chiu & Yu-Chuan Chen & Xue-Jie Bai, 2011. "Efficiency and risk in Taiwan banking: SBM super-DEA estimation," Applied Economics, Taylor & Francis Journals, vol. 43(5), pages 587-602.

    Cited by:

    1. Shiyi Chen & Wolfgang K. Härdle & Li Wang, 2020. "Estimation and determinants of Chinese banks’ total factor efficiency: a new vision based on unbalanced development of Chinese banks and their overall risk," Computational Statistics, Springer, vol. 35(2), pages 427-468, June.
       • Chen, Shiyi & Härdle, Wolfgang Karl & Wang, Li, 2020. "Estimation and Determinants of Chinese Banks’ Total Factor Efficiency: A New Vision Based on Unbalanced Development of Chinese Banks and Their Overall Risk," IRTG 1792 Discussion Papers 2020-001, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    2. Cândida Ferreira, 2019. "Efficiency of the European banks in the aftermath of the financial crisis: A panel stochastic frontier approach," Working Papers REM 2019/84, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
       • Ferreira, Cândida, 2021. "Efficiency of European Banks in the Aftermath of the Financial Crisis: A Panel Stochastic Frontier Approach," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 36(1), pages 103-124.
    3. Carlos Pestana Barros & Emanuel Reis Leão & Nkanga Pedro João Macanda & Zorro Mendes, 2016. "A Bayesian Efficiency Analysis of Angolan Banks," South African Journal of Economics, Economic Society of South Africa, vol. 84(3), pages 484-498, September.
    4. Chia Nan Wang & Anh Phuong Le, 2018. "Application in International Market Selection for the Export of Goods: A Case Study in Vietnam," Sustainability, MDPI, vol. 10(12), pages 1-24, December.
    5. Jean-Philippe Boussemart & Herve Leleu & Zhiyang Shen & Michael Vardanyan & Ning Zhu, 2019. "Decomposing banking performance into economic and credit risk efficiencies," Post-Print hal-02497996, HAL.
       • Boussemart, Jean-Philippe & Leleu, Hervé & Shen, Zhiyang & Vardanyan, Michael & Zhu, Ning, 2019. "Decomposing banking performance into economic and credit risk efficiencies," European Journal of Operational Research, Elsevier, vol. 277(2), pages 719-726.
    6. Wanping Yang & Bingyu Zhao & Jinkai Zhao & Zhengda Li, 2019. "An Empirical Study on the Impact of Foreign Strategic Investment on Banking Sustainability in China," Sustainability, MDPI, vol. 11(1), pages 1-15, January.
    7. Yi-Chung Hsu, 2014. "Efficiency in government health spending: a super slacks-based model," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 111-126, January.
    8. Zhou, Na & Wu, Qiaosheng & Hu, Xiangping & Xu, Deyi & Wang, Xiaolin, 2020. "Evaluation of Chinese natural gas investment along the Belt and Road Initiative using super slacks-based measurement of efficiency method," Resources Policy, Elsevier, vol. 67(C).
    9. Zhengxiao Yan & Wei Zhou & Yuyi Wang & Xi Chen, 2022. "Comprehensive Analysis of Grain Production Based on Three-Stage Super-SBM DEA and Machine Learning in Hexi Corridor, China," Sustainability, MDPI, vol. 14(14), pages 1-21, July.
    10. Zhujia Yin & Yantuan Yu & Jianhuan Huang, 2018. "Evaluation and evolution of bank efficiency considering heterogeneity technology: An empirical study from China," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-19, October.
    11. Li, Bo & Dewan, Hasnat, 2017. "Efficiency differences among China's resource-based cities and their determinants," Resources Policy, Elsevier, vol. 51(C), pages 31-38.
    12. Cui, Qiang & Li, Ye, 2015. "Evaluating energy efficiency for airlines: An application of VFB-DEA," Journal of Air Transport Management, Elsevier, vol. 44, pages 34-41.
    13. Tan, Yong & Anchor, John, 2017. "The impacts of risk-taking behaviour and competition on technical efficiency: Evidence from the Chinese banking industry," Research in International Business and Finance, Elsevier, vol. 41(C), pages 90-104.
    14. Hirofumi Fukuyama & Yong Tan, 2022. "Deconstructing three‐stage overall efficiency into input, output and stability efficiency components with consideration of market power and loan loss provision: An application to Chinese banks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 953-974, January.
    15. Cui, Qiang & Li, Ye, 2015. "An empirical study on the influencing factors of transportation carbon efficiency: Evidences from fifteen countries," Applied Energy, Elsevier, vol. 141(C), pages 209-217.
    16. Hashem Omrani & Arash Alizadeh & Ali Emrouznejad & Zeynab Oveysi, 2023. "A novel best‐worst‐method two‐stage data envelopment analysis model considering decision makers' preferences: An application in bank branches evaluation," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 3593-3610, October.
    17. Wasi Ul Hassan Shah & Gang Hao & Nan Zhu & Rizwana Yasmeen & Ihtsham Ul Haq Padda & Muhammad Abdul Kamal, 2022. "A cross-country efficiency and productivity evaluation of commercial banks in South Asia: A meta-frontier and Malmquist productivity index approach," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-17, April.
    18. Fukuyama, Hirofumi & Tsionas, Mike & Tan, Yong, 2024. "The impacts of innovation and trade openness on bank market power: The proposal of a minimum distance cost function approach and a causal structure analysis," European Journal of Operational Research, Elsevier, vol. 312(3), pages 1178-1194.
    19. Yantuan Yu & Jianhuan Huang & Yanmin Shao, 2019. "The Sustainability Performance of Chinese Banks: A New Network Data Envelopment Analysis Approach and Panel Regression," Sustainability, MDPI, vol. 11(6), pages 1-25, March.
    20. Shiyi Chen & Wolfgang K. Härdle & Li Wang, 2014. "Estimation and Determinants of Chinese Banks’ Total Factor Efficiency: A New Vision Based on Unbalanced Development of Chinese Banks and Their Overall Risk," SFB 649 Discussion Papers SFB649DP2014-068, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    21. Chiu, Yung-ho & Luo, Zhengying & Chen, Yu-Chuan & Wang, Zebin & Tsai, Min-Pei, 2013. "A comparison of operating performance management between Taiwan banks and foreign banks based on the Meta-Hybrid DEA model," Economic Modelling, Elsevier, vol. 33(C), pages 433-439.
    22. Li-Lun & Liu & Mu-Shun Wang & Yao-Jen & Su, 2023. "Measuring Changes in Chinese Banking Productivity and Profitability," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 13(5), pages 1-1.
    23. Cabrera-Jiménez, Richard & Mateo-Sanz, Josep M. & Gavaldà, Jordi & Jiménez, Laureano & Pozo, Carlos, 2022. "Comparing biofuels through the lens of sustainability: A data envelopment analysis approach," Applied Energy, Elsevier, vol. 307(C).

73. Chiu, Yung-ho & Huang, Chin-wei & Ma, Chun-Mei, 2011. "Assessment of China transit and economic efficiencies in a modified value-chains DEA model," European Journal of Operational Research, Elsevier, vol. 209(2), pages 95-103, March.

    Cited by:

    1. June Raymond Leonen Mariano & Mingyu Liao & Herchang Ay, 2021. "Performance Evaluation of Solar PV Power Plants in Taiwan Using Data Envelopment Analysis," Energies, MDPI, vol. 14(15), pages 1-14, July.
    2. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    3. Huang, Chin-wei & Chiu, Yung-ho & Fang, Wei-ta & Shen, Neng, 2014. "Assessing the performance of Taiwan’s environmental protection system with a non-radial network DEA approach," Energy Policy, Elsevier, vol. 74(C), pages 547-556.
    4. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    5. Hosseini, Keyvan & Stefaniec, Agnieszka, 2019. "Efficiency assessment of Iran's petroleum refining industry in the presence of unprofitable output: A dynamic two-stage slacks-based measure," Energy, Elsevier, vol. 189(C).
    6. Ton, Giel & Vellema, Sietze & DeRuyterDeWildt, Marieke, 2011. "Credible evidence on complex change processes: key challenges in impact evaluation on agricultural value chains," MPRA Paper 32027, University Library of Munich, Germany.
    7. Harald Dyckhoff & Rainer Souren, 2023. "Are important phenomena of joint production still being neglected by economic theory? A review of recent literature," Journal of Business Economics, Springer, vol. 93(6), pages 1015-1053, August.
    8. Du, Xiaoyun & Meng, Conghui & Guo, Zhenhua & Yan, Hang, 2023. "An improved approach for measuring the efficiency of low carbon city practice in China," Energy, Elsevier, vol. 268(C).
    9. Hao Cai & Ling Liang & Jing Tang & Qianxian Wang & Lihong Wei & Jiaping Xie, 2019. "An Empirical Study on the Efficiency and Influencing Factors of the Photovoltaic Industry in China and an Analysis of Its Influencing Factors," Sustainability, MDPI, vol. 11(23), pages 1-22, November.
    10. Di Yao & Liqun Xu & Jinpei Li, 2019. "Evaluating the Performance of Public Transit Systems: A Case Study of Eleven Cities in China," Sustainability, MDPI, vol. 11(13), pages 1-21, June.
    11. Xiang Liu & Jia Liu, 2016. "Measurement of Low Carbon Economy Efficiency with a Three-Stage Data Envelopment Analysis: A Comparison of the Largest Twenty CO 2 Emitting Countries," IJERPH, MDPI, vol. 13(11), pages 1-14, November.
    12. Merkert, Rico & Mulley, Corinne & Hakim, Md Mahbubul, 2017. "Determinants of bus rapid transit (BRT) system revenue and effectiveness – A global benchmarking exercise," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 75-88.
    13. Xiong, Xi & Yang, Guo-liang & Guan, Zhong-cheng, 2018. "Assessing R&D efficiency using a two-stage dynamic DEA model: A case study of research institutes in the Chinese Academy of Sciences," Journal of Informetrics, Elsevier, vol. 12(3), pages 784-805.
    14. Koengkan, Matheus & Fuinhas, José Alberto & Kazemzadeh, Emad & Osmani, Fariba & Alavijeh, Nooshin Karimi & Auza, Anna & Teixeira, Mônica, 2022. "Measuring the economic efficiency performance in Latin American and Caribbean countries: An empirical evidence from stochastic production frontier and data envelopment analysis," International Economics, Elsevier, vol. 169(C), pages 43-54.
        • Matheus Koengkan & José Alberto Fuinhas & Emad Kazemzadeh & Fariba Osmani & Nooshin Karimi Alavijeh, 2022. "Measuring the economic efficiency performance in Latin American and Caribbean countries: An empirical evidence from stochastic production frontier and data envelopment analysis," International Economics, CEPII research center, issue 169, pages 43-54.
    15. Jianqing Zhang & Song Wang & Peilei Yang & Fei Fan & Xueli Wang, 2020. "Analysis of Scale Factors on China’s Sustainable Development Efficiency Based on Three-Stage DEA and a Double Threshold Test," Sustainability, MDPI, vol. 12(6), pages 1-26, March.
    16. Sueyoshi, Toshiyuki & Goto, Mika, 2019. "The intermediate approach to sustainability enhancement and scale-related measures in environmental assessment," European Journal of Operational Research, Elsevier, vol. 276(2), pages 744-756.
    17. Tianbo Tang & Jianxin You & Hui Sun & Hao Zhang, 2019. "Transportation Efficiency Evaluation Considering the Environmental Impact for China’s Freight Sector: A Parallel Data Envelopment Analysis," Sustainability, MDPI, vol. 11(18), pages 1-24, September.
    18. Kao, Chiang, 2017. "Efficiency measurement and frontier projection identification for general two-stage systems in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 261(2), pages 679-689.
    19. Qu, Jingjing & Wang, Baohui & Liu, Xiaohong, 2022. "A modified super-efficiency network data envelopment analysis: Assessing regional sustainability performance in China," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    20. Georges Assaf, A. & Gillen, David, 2012. "Measuring the joint impact of governance form and economic regulation on airport efficiency," European Journal of Operational Research, Elsevier, vol. 220(1), pages 187-198.
    21. Sarah J.-Sharahi & Kaveh Khalili-Damghani & Amir-Reza Abtahi & Alireza Rashidi Komijan, 2021. "A new network data envelopment analysis models to measure the efficiency of natural gas supply chain," Operational Research, Springer, vol. 21(3), pages 1461-1486, September.
    22. Kao, Chiang & Hwang, Shiuh-Nan, 2014. "Multi-period efficiency and Malmquist productivity index in two-stage production systems," European Journal of Operational Research, Elsevier, vol. 232(3), pages 512-521.
    23. Vanessa de Quadros Martins & Carlos Alberto Diehl & Cristiano R. Maurício Tagliari, 2018. "Evaluation of technical efficiency of Brazilian distribution companies of electrical energy through Data Envelopment Analysis (DEA)," Contaduría y Administración, Accounting and Management, vol. 63(1), pages 31-32, Enero - M.
    24. Chrisovalantis Malesios & Prasanta K. Dey & Fuad Ben Abdelaziz, 2020. "Supply chain sustainability performance measurement of small and medium sized enterprises using structural equation modeling," Annals of Operations Research, Springer, vol. 294(1), pages 623-653, November.
    25. Pang, Rui-Zhi & Deng, Zhong-Qi & Hu, Jin-li, 2015. "Clean energy use and total-factor efficiencies: An international comparison," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1158-1171.
    26. Ho, Foo Nin & Huang, Chin-wei, 2020. "The interdependencies of marketing capabilities and operations efficiency in hospitals," Journal of Business Research, Elsevier, vol. 113(C), pages 337-347.

74. Chen-Hsien Lin & Yung-Ho Chiu & Chin-Wei Huang, 2011. "Assessment of technology gaps of tourist hotels in productive and service processes," The Service Industries Journal, Taylor & Francis Journals, vol. 32(14), pages 2329-2342, April.

    Cited by:

    1. Marco Corsino & Enrico Zaninotto, 2012. "Revealing the influence of managerial practices and entrepreneurs' characteristics on hotel efficiency," DISA Working Papers 2012/03, Department of Computer and Management Sciences, University of Trento, Italy, revised May 2012.

75. Yu‐chuan Chen & Yung‐ho Chiu & Meng‐chen Li, 2011. "Mutual Fund Performance Evaluation – Application Of System Bcc Model," South African Journal of Economics, Economic Society of South Africa, vol. 79(1), pages 1-16, March.

    Cited by:

    1. Ito, Yutaka & Managi, Shunsuke & Matsuda, Akimi, 2012. "Performances of Socially Responsible Investment and Environmentally Friendly Funds," MPRA Paper 40654, University Library of Munich, Germany.
       • Y Ito & S Managi & A Matsuda, 2013. "Performances of socially responsible investment and environmentally friendly funds," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(11), pages 1583-1594, November.
    2. Catarina Alexandra Neves Proença & Maria Elisabete Duarte Neves & Maria Castelo Baptista Gouveia & Mara Teresa Silva Madaleno, 2023. "Technological, healthcare and consumer funds efficiency: influence of COVID-19," Operational Research, Springer, vol. 23(2), pages 1-42, June.

76. Yung-Ho Chiu & Chin-Wei Huang, 2010. "Evaluating the optimal occupancy rate, operational efficiency, and profitability efficiency of Taiwan's international tourist hotels," The Service Industries Journal, Taylor & Francis Journals, vol. 31(13), pages 2145-2162, April.

    Cited by:

    1. David Fang & Ming‐Ching Hsueh & Ching‐Ren Chiu, 2020. "An investigation of international hotel productivity considering quasifixed inputs and negative outputs," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 380-388, April.
    2. Stephen Migiro & Patricia Shewell, 2018. "Finance Function Performance Measurement-A Data Envelopment Analysis Approach," Journal of Economics and Behavioral Studies, AMH International, vol. 9(6), pages 109-121.

77. Yung-Ho Chiu & Chun-Mei Ma & Ming-Yuan Sun, 2010. "Efficiency and credit rating in Taiwan banking: data envelopment analysis estimation," Applied Economics, Taylor & Francis Journals, vol. 42(20), pages 2587-2600.

    Cited by:

    1. António S. Ribeiro & Francisco Lima, 2012. "Portuguese football league efficiency and players' wages," Applied Economics Letters, Taylor & Francis Journals, vol. 19(6), pages 599-602, April.
    2. Roger Frantz, 2017. "Rationality, globalization, and X-efficiency among fi nancial institutions," Chapters, in: Morris Altman (ed.), Handbook of Behavioural Economics and Smart Decision-Making, chapter 15, pages 275-289, Edward Elgar Publishing.
    3. Gianpaolo Iazzolino & Maria Elena Bruni & Patrizia Beraldi, 2013. "Using DEA and financial ratings for credit risk evaluation: an empirical analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 20(14), pages 1310-1317, September.
    4. Necmi Avkiran & Lin Cai, 2014. "Identifying distress among banks prior to a major crisis using non-oriented super-SBM," Annals of Operations Research, Springer, vol. 217(1), pages 31-53, June.

78. Yung-Ho Chiu & Yu-Chuan Chen & Yu Han Hung, 2009. "Basel II and bank bankruptcy analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 16(18), pages 1843-1847.

    Cited by:

    1. Jianjun Li & Sara Hsu, 2013. "Shadow Banking in China: Institutional Risks," Working Papers wp334, Political Economy Research Institute, University of Massachusetts at Amherst.
       • Li, Jianjun & Hsu, Sara & Qin, Yanzhi, 2014. "Shadow banking in China: Institutional risks," China Economic Review, Elsevier, vol. 31(C), pages 119-129.

79. Chiu, Yung-Ho & Chen, Yu-Chuan, 2009. "The analysis of Taiwanese bank efficiency: Incorporating both external environment risk and internal risk," Economic Modelling, Elsevier, vol. 26(2), pages 456-463, March.

    Cited by:

    1. Wu, Yueh-Cheng & Wei Kiong Ting, Irene & Lu, Wen-Min & Nourani, Mohammad & Kweh, Qian Long, 2016. "The impact of earnings management on the performance of ASEAN banks," Economic Modelling, Elsevier, vol. 53(C), pages 156-165.
    2. Aiello, Francesco & Bonanno, Graziella, 2014. "On the Sources of Heterogeneity in Banking Efficiency Literature," MPRA Paper 58591, University Library of Munich, Germany.
       • Francesco Aiello & Graziella Bonanno, 2016. "On The Sources Of Heterogeneity In Banking Efficiency Literature," Working Papers 201612, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
       • Francesco Aiello & Graziella Bonanno, 2018. "On The Sources Of Heterogeneity In Banking Efficiency Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 32(1), pages 194-225, February.
    3. Yaisawarng, Suthathip & Ng, Ying Chu, 2014. "The impact of higher education reform on research performance of Chinese universities," China Economic Review, Elsevier, vol. 31(C), pages 94-105.
    4. Li, Ye & Wang, Yan-zhang & Cui, Qiang, 2015. "Evaluating airline efficiency: An application of Virtual Frontier Network SBM," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 1-17.
    5. Chen, Pei-Fen & Liu, Ping-Chin, 2013. "Bank ownership, performance, and the politics: Evidence from Taiwan," Economic Modelling, Elsevier, vol. 31(C), pages 578-585.
    6. Vaneet Bhatia & Sankarshan Basu & Subrata Kumar Mitra & Pradyumna Dash, 2018. "A review of bank efficiency and productivity," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 557-600, November.
    7. Cho, Tsui-Yueh & Chen, Yi-Shuan, 2021. "The impact of financial technology on China’s banking industry: An application of the metafrontier cost Malmquist productivity index," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    8. Hsueh-Li Huang & Lien-Wen Liang & Hai-Yen Chang & Hsiu-Yuan Hsu, 2021. "The Influence of Earnings Management and Board Characteristics on Company Efficiency," Sustainability, MDPI, vol. 13(21), pages 1-18, October.
    9. Amir Moradi-Motlagh & Ali Salman Saleh, 2014. "Re-Examining the Technical Efficiency of Australian Banks: A Bootstrap DEA Approach," Australian Economic Papers, Wiley Blackwell, vol. 53(1-2), pages 112-128, June.
    10. Juo, Jia-Ching & Fu, Tsu-Tan & Yu, Ming-Miin, 2012. "Non-oriented slack-based decompositions of profit change with an application to Taiwanese banking," Omega, Elsevier, vol. 40(5), pages 550-561.
    11. Yi-Chung Hsu, 2014. "Efficiency in government health spending: a super slacks-based model," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 111-126, January.
    12. Phi-Hung Nguyen & Thi-Ly Nguyen & Hong-Quan Le & Thuy-Quynh Pham & Hoang-Anh Nguyen & Chi-Vinh Pham, 2023. "How Does the Competitiveness Index Promote Foreign Direct Investment at the Provincial Level in Vietnam? An Integrated Grey Delphi–DEA Model Approach," Mathematics, MDPI, vol. 11(6), pages 1-30, March.
    13. Richard Simper & Maximilian J. B. Hall & WenBin Liu & Valentin Zelenyuk & Zhongbao Zhou, 2017. "How relevant is the choice of risk management control variable to non-parametric bank profit efficiency analysis? The case of South Korean banks," Annals of Operations Research, Springer, vol. 250(1), pages 105-127, March.
    14. Wang, Q.W. & Zhou, P. & Shen, N. & Wang, S.S., 2013. "Measuring carbon dioxide emission performance in Chinese provinces: A parametric approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 324-330.
    15. Chang-Sheng Liao, 2018. "Risk-taking and Efficiency of Banks for Emerging Eastern Asian Countries," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 8(5), pages 1-2.
    16. Fukuyama, Hirofumi & Tan, Yong, 2022. "Implementing strategic disposability for performance evaluation: Innovation, stability, profitability and corporate social responsibility in Chinese banking," European Journal of Operational Research, Elsevier, vol. 296(2), pages 652-668.
    17. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    18. Liu, Hsiang-Hsi & Huang, Chin-Wei & Chiu, Yung-Ho & Huang, Hsiao-Chin, 2015. "Using A Three Stage Super-Sbm Model To Analyze The Influence Of Bank'S Internationalization And Risk On The Operational Efficiency," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 56(2), pages 213-229, December.
    19. Francesco Aiello & Graziella Bonanno, 2016. "Efficiency in banking: a meta-regression analysis," International Review of Applied Economics, Taylor & Francis Journals, vol. 30(1), pages 112-149, January.
    20. Halkos, George Emm. & Tzeremes, Nickolaos G., 2011. "Modelling the effect of national culture on multinational banks' performance: A conditional robust nonparametric frontier analysis," Economic Modelling, Elsevier, vol. 28(1-2), pages 515-525, January.
        • Halkos, George Emm. & Tzeremes, Nickolaos G., 2011. "Modelling the effect of national culture on multinational banks' performance: A conditional robust nonparametric frontier analysis," Economic Modelling, Elsevier, vol. 28(1), pages 515-525.
    21. Mansour, Rana & El Moussawi, Chawki, 2020. "Efficiency, technical progress and productivity of Arab banks: A non-parametric approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 191-208.
    22. Sun, Lei & Chang, Tzu-Pu, 2011. "A comprehensive analysis of the effects of risk measures on bank efficiency: Evidence from emerging Asian countries," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1727-1735, July.
    23. Chuang-Min Chao & Ming-Miin Yu & Nan-Hsing Hsiung & Li-Hsueh Chen, 2018. "Profitability efficiency, marketability efficiency and technology gaps in Taiwan’s banking industry: meta-frontier network data envelopment analysis," Applied Economics, Taylor & Francis Journals, vol. 50(3), pages 233-250, January.
    24. Ali, Syed Zahid & Anwar, Sajid & Valadkhani, Abbas, 2012. "Macroeconomic consequences of increased productivity in less developed economies," Economic Modelling, Elsevier, vol. 29(3), pages 621-631.
    25. Hirofumi Fukuyama & Yong Tan, 2022. "Deconstructing three‐stage overall efficiency into input, output and stability efficiency components with consideration of market power and loan loss provision: An application to Chinese banks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 953-974, January.
    26. Mohanty, Sunil K. & Lin, Winston T. & Lin, Hong-Jen, 2013. "Measuring cost efficiency in presence of heteroskedasticity: The case of the banking industry in Taiwan," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 77-90.
    27. Chen, Ku-Hsieh, 2012. "Incorporating risk input into the analysis of bank productivity: Application to the Taiwanese banking industry," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1911-1927.
    28. Halkos, George & Tzeremes, Nickolaos, 2010. "Measuring the effect of virtual mergers on banks’ efficiency levels:A non parametric analysis," MPRA Paper 23696, University Library of Munich, Germany.
    29. Ye Li & Qiang Cui, 2017. "Airline energy efficiency measures using the Virtual Frontier Network RAM with weak disposability," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(4), pages 479-504, May.
    30. Yantuan Yu & Jianhuan Huang & Yanmin Shao, 2019. "The Sustainability Performance of Chinese Banks: A New Network Data Envelopment Analysis Approach and Panel Regression," Sustainability, MDPI, vol. 11(6), pages 1-25, March.
    31. Chiu, Yung-ho & Luo, Zhengying & Chen, Yu-Chuan & Wang, Zebin & Tsai, Min-Pei, 2013. "A comparison of operating performance management between Taiwan banks and foreign banks based on the Meta-Hybrid DEA model," Economic Modelling, Elsevier, vol. 33(C), pages 433-439.
    32. Zhu, Ning & Wu, Yanrui & Wang, Bing & Yu, Zhiqian, 2019. "Risk preference and efficiency in Chinese banking," China Economic Review, Elsevier, vol. 53(C), pages 324-341.
    33. Li-Lun & Liu & Mu-Shun Wang & Yao-Jen & Su, 2023. "Measuring Changes in Chinese Banking Productivity and Profitability," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 13(5), pages 1-1.
    34. Serhat Y ksel & Shahriyar Mukhtarov & Elvin Mammadov, 2016. "Comparing the Efficiency of Turkish and Azerbaijani Banks: An Application with Data Envelopment Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 6(3), pages 1059-1067.

80. Huei‐Fang Chen & Yung‐Ho Chiu, 2009. "The influence of psychological contracts on the adjustment and organisational commitment among expatriates," International Journal of Manpower, Emerald Group Publishing Limited, vol. 30(8), pages 797-814, November.

    Cited by:

    1. Christelle Tornikoski, 2011. "The role of perceived employer obligations in the interpretation of and reaction to expatriate compensation practices," Post-Print hal-00675160, HAL.
    2. Christelle Tornikoski, 2011. "The role of perceived employer obligations in the interpretation of and reaction to expatriate compensation practices," Grenoble Ecole de Management (Post-Print) hal-00675160, HAL.

81. Yung-Ho Chiu & Chyanlong Jan & Da-Bai Shen & Pen-Chun Wang, 2008. "Efficiency and capital adequacy in Taiwan banking: BCC and super-DEA estimation," The Service Industries Journal, Taylor & Francis Journals, vol. 28(4), pages 479-496, May.

    Cited by:

    1. Kao, Chiang & Liu, Shiang-Tai, 2014. "Measuring performance improvement of Taiwanese commercial banks under uncertainty," European Journal of Operational Research, Elsevier, vol. 235(3), pages 755-764.
    2. Li-Hua Lai & Li-Chin Hung & Chau-Jung Kuo, 2016. "Do Well-Financial Holding Company Organized Banks in Taiwan Take More Risk?," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 19(04), pages 1-30, December.
    3. Changjun Zheng & Anupam Das Gupta & Syed Moudud-Ul-Huq, 2017. "Do market competition and development indicators matter for banks’ risk, capital, and efficiency relationship?," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 4(02n03), pages 1-27, June.
    4. Carlos Pestana Barros & Emanuel Reis Leão & Nkanga Pedro João Macanda & Zorro Mendes, 2016. "A Bayesian Efficiency Analysis of Angolan Banks," South African Journal of Economics, Economic Society of South Africa, vol. 84(3), pages 484-498, September.
    5. Carlos Barros & Guglielmo Caporale, 2012. "Banking Consolidation in Nigeria," CEsA Working Papers 99, CEsA - Centre for African and Development Studies.
    6. Kao, Chiang & Liu, Shiang-Tai, 2016. "A parallel production frontiers approach for intertemporal efficiency analysis: The case of Taiwanese commercial banks," European Journal of Operational Research, Elsevier, vol. 255(2), pages 411-421.
    7. Juo, Jia-Ching & Fu, Tsu-Tan & Yu, Ming-Miin, 2012. "Non-oriented slack-based decompositions of profit change with an application to Taiwanese banking," Omega, Elsevier, vol. 40(5), pages 550-561.
    8. Wanke, Peter & Barros, Carlos P. & Faria, João R., 2015. "Financial distress drivers in Brazilian banks: A dynamic slacks approach," European Journal of Operational Research, Elsevier, vol. 240(1), pages 258-268.
    9. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    10. Constantino J. Garcia Martin & Amparo Medal-Bartual & Marta Peris-Ortiz, 2014. "Analysis of efficiency and profitability of franchise services," The Service Industries Journal, Taylor & Francis Journals, vol. 34(9-10), pages 796-810, July.
    11. Francisco Javier Sáez-Fernández & Andrés J. Picazo-Tadeo & Mercedes Beltrán-Esteve & Caroline Elliott, 2015. "Assessing the performance of the Latin American and Caribbean banking industry: Are domestic and foreign banks so different?," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1006976-100, December.
    12. Barros, Carlos Pestana & Wanke, Peter, 2014. "Banking efficiency in Brazil," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 28(C), pages 54-65.
    13. Gabriel A. Ogunmola & Fengsheng Chien & Ka Yin Chau & Li Li, 2022. "The Influence of Capital Requirement of Basel III Adoption on Banks’ Operating Efficiency: Evidence from U.S. Banks," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 11(2), pages 5-26.
    14. Luis Alberiko Gil-Alana & Carlos Barros & Dercio Mandlaze, 2017. "A performance assessment of Mozambique banks: a Bayesian stochastic frontier," Applied Economics, Taylor & Francis Journals, vol. 49(45), pages 4579-4587, September.
    15. Guglielmo Maria Caporale & Carlos Pestana Barros, 2013. "Banking Consolidation in Nigeria, 2000-2010," NCID Working Papers 07/2013, Navarra Center for International Development, University of Navarra.
    16. Chiu, Yung-ho & Luo, Zhengying & Chen, Yu-Chuan & Wang, Zebin & Tsai, Min-Pei, 2013. "A comparison of operating performance management between Taiwan banks and foreign banks based on the Meta-Hybrid DEA model," Economic Modelling, Elsevier, vol. 33(C), pages 433-439.

82. Ta‐Cheng Chang & Yung‐Ho Chiu, 2006. "Affecting Factors On Risk‐Adjusted Efficiency In Taiwan'S Banking Industry," Contemporary Economic Policy, Western Economic Association International, vol. 24(4), pages 634-648, October.

    Cited by:

    1. Chien-Ming Huang & Wei Yang & Ren-Qing Zeng, 2020. "Analysis on the Efficiency of Risk Management in the Chinese Listed Companies," Mathematics, MDPI, vol. 8(10), pages 1-13, October.
    2. Li-Hua Lai & Li-Chin Hung & Chau-Jung Kuo, 2016. "Do Well-Financial Holding Company Organized Banks in Taiwan Take More Risk?," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 19(04), pages 1-30, December.
    3. Mehdi Fallah Jelodar, 2016. "Prioritization of the Factors Affecting Bank Efficiency Using Combined Data Envelopment Analysis and Analytical Hierarchy Process Methods," Journal of Optimization, Hindawi, vol. 2016, pages 1-7, May.
    4. Juo, Jia-Ching & Fu, Tsu-Tan & Yu, Ming-Miin, 2012. "Non-oriented slack-based decompositions of profit change with an application to Taiwanese banking," Omega, Elsevier, vol. 40(5), pages 550-561.
    5. J Sarkis & J J Cordeiro, 2009. "Investigating technical and ecological efficiencies in the electricity generation industry: are there win-win opportunities?," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(9), pages 1160-1172, September.
    6. Le, Minh & Hoang, Vincent & Wilson, Clevo & Managi, Shunsuke, 2019. "Net stable funding ratio and profit efficiency of commercial banks in the US," MPRA Paper 107179, University Library of Munich, Germany, revised 16 May 2020.
       • Le, Minh & Hoang, Viet-Ngu & Wilson, Clevo & Managi, Shunsuke, 2020. "Net stable funding ratio and profit efficiency of commercial banks in the US," Economic Analysis and Policy, Elsevier, vol. 67(C), pages 55-66.
    7. Syedah Shan E Ahmad, 2015. "Microfinance during Financial Crisis: Evidence from Bangladesh," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 3(6), pages 262-270, June.
    8. Chih-Ching Yang, 2014. "An enhanced DEA model for decomposition of technical efficiency in banking," Annals of Operations Research, Springer, vol. 214(1), pages 167-185, March.
    9. Chen, Yu-Chuan & Chiu, Yung-Ho & Huang, Chin-Wei & Tu, Chien Heng, 2013. "The analysis of bank business performance and market risk—Applying Fuzzy DEA," Economic Modelling, Elsevier, vol. 32(C), pages 225-232.
    10. Aziz Kutlar & Ali Kabasakal & Mehmet Sena Ekici, 2017. "Efficiency of commercial banks in Turkey and their comparison: application of DEA with Tobit analysis," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 10(1), pages 84-103.
    11. Dan Luo & Shujie Yao & Jian Chen & Jianling Wang, 2011. "World Financial Crisis and Efficiency of Chinese Commercial Banks," The World Economy, Wiley Blackwell, vol. 34, pages 805-825, May.
    12. Mei-Ying Huang & Tsu-Tan Fu, 2013. "An examination of the cost efficiency of banks in Taiwan and China using the metafrontier cost function," Journal of Productivity Analysis, Springer, vol. 40(3), pages 387-406, December.
    13. Tan, Yong & Anchor, John, 2017. "The impacts of risk-taking behaviour and competition on technical efficiency: Evidence from the Chinese banking industry," Research in International Business and Finance, Elsevier, vol. 41(C), pages 90-104.
    14. Manlagñit, Maria Chelo V., 2011. "Cost efficiency, determinants, and risk preferences in banking: A case of stochastic frontier analysis in the Philippines," Journal of Asian Economics, Elsevier, vol. 22(1), pages 23-35, February.
    15. Chen, Ku-Hsieh, 2012. "Incorporating risk input into the analysis of bank productivity: Application to the Taiwanese banking industry," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1911-1927.
    16. Ha Thu Vu & Sean Turnell, 2010. "Cost Efficiency of the Banking Sector in Vietnam: A Bayesian Stochastic Frontier Approach with Regularity Constraints," Asian Economic Journal, East Asian Economic Association, vol. 24(2), pages 115-139, June.
    17. Avkiran, Necmi K. & Thoraneenitiyan, Nakhun, 2010. "Purging data before productivity analysis," Journal of Business Research, Elsevier, vol. 63(3), pages 294-302, March.
    18. Ariff, Mohamed & Can, Luc, 2008. "Cost and profit efficiency of Chinese banks: A non-parametric analysis," China Economic Review, Elsevier, vol. 19(2), pages 260-273, June.
    19. Chiu, Yung-ho & Luo, Zhengying & Chen, Yu-Chuan & Wang, Zebin & Tsai, Min-Pei, 2013. "A comparison of operating performance management between Taiwan banks and foreign banks based on the Meta-Hybrid DEA model," Economic Modelling, Elsevier, vol. 33(C), pages 433-439.

83. Pang-tien Lieu & Tsai-lien Yeh & Yung-ho Chiu, 2005. "Off-balance sheet activities and cost inefficiency in Taiwan's Banks," The Service Industries Journal, Taylor & Francis Journals, vol. 25(7), pages 925-944, October.

    Cited by:

    1. Sang, Nguyen Minh & Linh, Thai Thi Thuy, 2018. "Revenue diversification and total assets in commercial banks: evidence from selected Asean countries," OSF Preprints 6nbz9, Center for Open Science.
    2. Akhigbe, Aigbe & McNulty, James E. & Stevenson, Bradley A., 2017. "Additional evidence on transparency and bank financial performance," Review of Financial Economics, Elsevier, vol. 32(C), pages 1-6.
    3. Tabak, Benjamin M. & Langsch Tecles, Patricia, 2010. "Estimating a Bayesian stochastic frontier for the Indian banking system," International Journal of Production Economics, Elsevier, vol. 125(1), pages 96-110, May.
    4. M. Kabir Hassan & Ahmad Khasawneh, 2009. "The Determinants of Derivatives Activities in U.S. Commercial Banks," NFI Working Papers 2009-WP-10, Indiana State University, Scott College of Business, Networks Financial Institute.
    5. Lozano-Vivas, Ana & Pasiouras, Fotios, 2010. "The impact of non-traditional activities on the estimation of bank efficiency: International evidence," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1436-1449, July.
    6. Zouaoui, Haykel & Zoghlami, Feten, 2020. "On the income diversification and bank market power nexus in the MENA countries: Evidence from a GMM panel-VAR approach," Research in International Business and Finance, Elsevier, vol. 52(C).
    7. Hariom Gurjar & Akhilesh Tripathi & Mahesh C. Joshi, 2021. "The Bank Efficiency through Off-Balance Sheet Items’ Window: A Malmquist Approach," Vision, , vol. 25(4), pages 448-459, December.
    8. Akhigbe, Aigbe & Stevenson, Bradley A., 2010. "Profit efficiency in U.S. BHCs: Effects of increasing non-traditional revenue sources," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(2), pages 132-140, May.
    9. Abdul Latif Alhassan & Michael Lawer Tetteh, 2017. "Non-Interest Income and Bank Efficiency in Ghana: A Two-Stage DEA Bootstrapping Approach," Journal of African Business, Taylor & Francis Journals, vol. 18(1), pages 124-142, January.
    10. Nguyen, My & Skully, Michael & Perera, Shrimal, 2012. "Bank market power and revenue diversification: Evidence from selected ASEAN countries," Journal of Asian Economics, Elsevier, vol. 23(6), pages 688-700.
    11. Ahmad Khasawneh & M. Kabir Hassan, 2010. "The Determinants and Policy Implications of Off-Balance Sheet Activities in MENA Countries Commercial Banks," Working Papers 552, Economic Research Forum, revised 10 Jan 2010.
    12. Akhigbe, Aigbe & McNulty, James E. & Stevenson, Bradley A., 2013. "How does transparency affect bank financial performance?," International Review of Financial Analysis, Elsevier, vol. 29(C), pages 24-30.
    13. Fadzlan SUFIAN, 2009. "Analysis Of The Relevance Of Non-Traditional Activities Items Upon The Efficiency Of Chinese Banks: A Non-Stochastic Frontier DEA Approach," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 4, pages 83-102, November.
    14. Dong, Yizhe & Girardone, Claudia & Kuo, Jing-Ming, 2017. "Governance, efficiency and risk taking in Chinese banking," The British Accounting Review, Elsevier, vol. 49(2), pages 211-229.
        • Dong, Y & Girardone, C & Kuo, J, 2016. "Governance, efficiency and risk taking in Chinese banking," Essex Finance Centre Working Papers 16588, University of Essex, Essex Business School.
    15. Duygun, Meryem & Sena, Vania & Shaban, Mohamed, 2013. "Schumpeterian competition and efficiency among commercial banks," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5176-5185.
    16. Ebenezer Fiifi Emire Atta Mills & Mavis Agyapomah Baafi & Fangbiao Liu & Kailin Zeng, 2021. "Dynamic operating efficiency and its determining factors of listed real‐estate companies in China: A hierarchical slack‐based DEA‐OLS approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3352-3376, July.
    17. Mohanty, Sunil K. & Lin, Winston T. & Lin, Hong-Jen, 2013. "Measuring cost efficiency in presence of heteroskedasticity: The case of the banking industry in Taiwan," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 77-90.
    18. Aigbe Akhigbe & James E. McNulty & Bradley A. Stevenson, 2017. "Additional evidence on transparency and bank financial performance," Review of Financial Economics, John Wiley & Sons, vol. 32(1), pages 1-6, January.
    19. Akhigbe, Aigbe & McNulty, James E. & Stevenson, Bradley A., 2017. "Does the form of ownership affect firm performance? Evidence from US bank profit efficiency before and during the financial crisis," The Quarterly Review of Economics and Finance, Elsevier, vol. 64(C), pages 120-129.
    20. Atta Mills, Ebenezer Fiifi Emire & Zeng, Kailin & Fangbiao, Liu & Fangyan, Li, 2021. "Modeling innovation efficiency, its micro-level drivers, and its impact on stock returns," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    21. Dorsaf Ben Aissia & Molka Ellouz, 2021. "Estimation of the efficiency of Tunisian bank branches using a stochastic frontier approach," SN Business & Economics, Springer, vol. 1(10), pages 1-19, October.
    22. Li-Lun & Liu & Mu-Shun Wang & Yao-Jen & Su, 2023. "Measuring Changes in Chinese Banking Productivity and Profitability," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 13(5), pages 1-1.

84. Yang Li & Jin-Li Hu & Yung-Ho Chiu, 2004. "Ownership and production efficiency: Evidence from Taiwanese banks," The Service Industries Journal, Taylor & Francis Journals, vol. 24(4), pages 129-148, July.

    Cited by:

    1. Chih-Ching Yang, 2010. "Service, investment, and risk management performance in commercial banks," The Service Industries Journal, Taylor & Francis Journals, vol. 32(12), pages 2005-2025, December.
    2. Chang-Sheng Liao & Xinyan Li, 2022. "The Effects of Ownership Structure on Bank Efficiency for Taiwan: Is there a Non-Linear Relationship?," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 12(5), pages 1-4.
    3. J-L Hu & C-Y Fang, 2010. "Do market share and efficiency matter for each other? An application of the zero-sum gains data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(4), pages 647-657, April.
    4. Yang, Chyan & Liu, Hsian-Ming, 2012. "Managerial efficiency in Taiwan bank branches: A network DEA," Economic Modelling, Elsevier, vol. 29(2), pages 450-461.
    5. Banerjee, Sreejata & Velamuri, Malathi, 2015. "The conundrum of profitability versus soundness for banks by ownership type: Evidence from the Indian banking sector," Review of Financial Economics, Elsevier, vol. 26(C), pages 12-24.
       • Sreejata Banerjee and Malathi Velamuri & Malathi Velamuri & Malathi Velamuri, 2015. "The Conundrum of Profitability Versus Soundness For Banks by Ownership Type: Evidence from the Indian Banking Sector," Working Papers 2015-111, Madras School of Economics,Chennai,India.
    6. Huang, Tai-Hsin & Chung, Ming-Tai, 2017. "Do undesirables matter on the examination of banking efficiency using stochastic directional distance functions," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 194-211.
    7. Sreejata Banerjee & Malathi Velamuri, 2015. "The conundrum of profitability versus soundness for banks by ownership type: Evidence from the Indian banking sector," Review of Financial Economics, John Wiley & Sons, vol. 26(1), pages 12-24, September.

85. Yung-Ho Chiu & Jin-Li Hu, 2003. "Payment types and number of franchisees," The Service Industries Journal, Taylor & Francis Journals, vol. 23(4), pages 42-60, September.

    Cited by:

    1. H. R., Ganesha & Aithal, Sreeramana, 2020. "Exclusive Brand Outlet Expansion Framework for Lifestyle Brands in India (EBOE-LS)," MPRA Paper 102551, University Library of Munich, Germany.
    2. Axel Rodríguez & Vicente Caballer & Natividad Guadalajara, 2011. "Assessing the intangibles transferred in franchise businesses," Service Business, Springer;Pan-Pacific Business Association, vol. 5(1), pages 29-46, March.