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Ming-Chung Chang

Personal Details

First Name:Ming-Chung
Middle Name:
Last Name:Chang
Suffix:
RePEc Short-ID:pch1862
Terminal Degree:2005 Department of Economics; Soochow University (from RePEc Genealogy)

Affiliation

致理科技大學 (Chihlee University of Technology)

https://www.chihlee.edu.tw/
Taiwan, New Taipei City

Research output

as
Jump to: Working papers Articles

Working papers

  1. Satoshi Honma & Ming-Chung Chang, 2010. "A Model for Recycling Target Policy under Imperfect Competition With and Without Cooperation Between Firms," Discussion Papers 45, Kyushu Sangyo University, Faculty of Economics.

Articles

  1. 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.
  2. Chang, Ming-Chung, 2020. "An application of total-factor energy efficiency under the metafrontier framework," Energy Policy, Elsevier, vol. 142(C).
  3. Wen-Ling Hsiao & Jin-Li Hu & Chan Hsiao & Ming-Chung Chang, 2018. "Energy Efficiency of the Baltic Sea Countries: An Application of Stochastic Frontier Analysis," Energies, MDPI, vol. 12(1), pages 1-11, December.
  4. Hu, Jin-Li & Chang, Ming-Chung & Tsay, Hui-Wen, 2017. "The congestion total-factor energy efficiency of regions in Taiwan," Energy Policy, Elsevier, vol. 110(C), pages 710-718.
  5. Ming-Chung Chang & Ching-Hua Yu, 2017. "Estimation of energy productivity change in Baltic Sea and EU non-Baltic Sea states," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 17(1), pages 78-102.
  6. Chang, Ming-Chung, 2016. "Applying the energy productivity index that considers maximized energy reduction on SADC (Southern Africa Development Community) members," Energy, Elsevier, vol. 95(C), pages 313-323.
  7. Chia-Jung Tu & Ming-Chung Chang & Chiang-Ping Chen, 2016. "Progressive Time-Weighted Dynamic Energy Efficiency, Energy Decoupling Rate, and Decarbonization: An Empirical Study on G7 and BRICS," Sustainability, MDPI, vol. 8(9), pages 1-17, September.
  8. Ming-Chung Chang, 2014. "An Explanation for the Paradox Phenomenon in Taiwan¡¯s Bank Performances," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 5(1), pages 21-28, January.
  9. Chang, Ming-Chung, 2014. "Energy intensity, target level of energy intensity, and room for improvement in energy intensity: An application to the study of regions in the EU," Energy Policy, Elsevier, vol. 67(C), pages 648-655.
  10. Chang, Ming-Chung, 2013. "A comment on the calculation of the total-factor energy efficiency (TFEE) index," Energy Policy, Elsevier, vol. 53(C), pages 500-504.
  11. Ming-Chung Chang & Jin-Li Hu, 2013. "Public Governance and the Operational and Environmental Efficiencies of EU Countries," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 3(4), pages 1-10.
  12. Ming-Chung Chang & Jin-Li Hu & Mei-Yu Lee, 2012. "Economic And Environmental Effects Of Refill Packs," Bulletin of Economic Research, Wiley Blackwell, vol. 64(4), pages 581-592, October.
  13. Ming-Chung Chang, 2010. "Insider patent holder licensing in an oligopoly market with different cost structures: Fixed-fee, royalty, and auction," Economics Bulletin, AccessEcon, vol. 30(1), pages 20-31.
  14. Ming-Chung Chang & Jin-Li Hu & Gwo-Hshiung Tzeng, 2009. "Decision Making On Strategic Environmental Technology Licensing: Fixed-Fee Versus Royalty Licensing Methods," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 8(03), pages 609-624.
  15. Ming-Chung Chang, 2009. "Insider patent holder licensing in an oligopoly market and different cost structure: fee, royalty, and auction," Economics Bulletin, AccessEcon, vol. 29(1), pages 1-11.
  16. Ming-Chung Chang & Jin-Li Hu, 2009. "Inconsistent preferences in environmental protection investment and the central government's optimal policy," Applied Economics, Taylor & Francis Journals, vol. 43(6), pages 767-772.
  17. Chang, Ming-Chung & Chiu, Yung-Ho, 2008. "The analysis of a price war strategy under market demand growth," Economic Modelling, Elsevier, vol. 25(5), pages 868-875, September.
  18. Ming-Chung Chang, 2008. "Market Size Difference between Home Country and Foreign Country and Shrinkage on the Optimal Licensing Mode," Economics Bulletin, AccessEcon, vol. 28(9), pages 1.

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.

Working papers

  1. Satoshi Honma & Ming-Chung Chang, 2010. "A Model for Recycling Target Policy under Imperfect Competition With and Without Cooperation Between Firms," Discussion Papers 45, Kyushu Sangyo University, Faculty of Economics.

    Cited by:

    1. Satoshi Honma, 2019. "Optimal policies for international recycling between developed and developing countries," Letters in Spatial and Resource Sciences, Springer, vol. 12(2), pages 143-153, August.

Articles

  1. 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.

    Cited by:

    1. Chih-Chun Kung & Binbo Zheng & Tsung-Ju Lee & Nanping Wu, 2022. "Collections for Economic Growth, Social Development, and Technological Innovation Under Climate Change," SAGE Open, , vol. 12(2), pages 21582440221, June.

  2. Chang, Ming-Chung, 2020. "An application of total-factor energy efficiency under the metafrontier framework," Energy Policy, Elsevier, vol. 142(C).

    Cited by:

    1. 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.
    2. Magdalena Ziolo & Sandra Jednak & Gordana Savić & Dragana Kragulj, 2020. "Link between Energy Efficiency and Sustainable Economic and Financial Development in OECD Countries," Energies, MDPI, vol. 13(22), pages 1-28, November.
    3. Yaqing Han & Qiangqiang Wang & Yushui Li, 2023. "Does Financial Resource Misallocation Inhibit the Improvement of Green Development Efficiency? Evidence from China," Sustainability, MDPI, vol. 15(5), pages 1-21, March.
    4. Qu, Chenyao & Shao, Jun & Shi, Zhenkai, 2020. "Does financial agglomeration promote the increase of energy efficiency in China?," Energy Policy, Elsevier, vol. 146(C).
    5. Mushtaq, Zulqarnain & Wei, Wei & Jamil, Ihsan & Sharif, Maimoona & Chandio, Abbas Ali & Ahmad, Fayyaz, 2022. "Evaluating the factors of coal consumption inefficiency in energy intensive industries of China: An epsilon-based measure model," Resources Policy, Elsevier, vol. 78(C).
    6. 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.

  3. Wen-Ling Hsiao & Jin-Li Hu & Chan Hsiao & Ming-Chung Chang, 2018. "Energy Efficiency of the Baltic Sea Countries: An Application of Stochastic Frontier Analysis," Energies, MDPI, vol. 12(1), pages 1-11, December.

    Cited by:

    1. Yonghan Jeon & Jongoh Nam, 2023. "Estimating Energy Efficiency and Energy Saving Potential in the Republic of Korea’s Offshore Fisheries," Sustainability, MDPI, vol. 15(20), pages 1-17, October.
    2. Min-Yuh Day & Yensen Ni & Chinning Hsu & Paoyu Huang, 2022. "Do Investment Strategies Matter for Trading Global Clean Energy and Global Energy ETFs?," Energies, MDPI, vol. 15(9), pages 1-15, May.

  4. Hu, Jin-Li & Chang, Ming-Chung & Tsay, Hui-Wen, 2017. "The congestion total-factor energy efficiency of regions in Taiwan," Energy Policy, Elsevier, vol. 110(C), pages 710-718.

    Cited by:

    1. 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.
    2. 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.
    3. Tengfei Huo & Hong Ren & Weiguang Cai & Wei Feng & Miaohan Tang & Nan Zhou, 2018. "The total-factor energy productivity growth of China’s construction industry: evidence from the regional level," 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. 92(3), pages 1593-1616, July.
    4. Chen, Zhenling & Li, Jinkai & Zhao, Weigang & Yuan, Xiao-Chen & Yang, Guo-liang, 2019. "Undesirable and desirable energy congestion measurements for regional coal-fired power generation industry in China," Energy Policy, Elsevier, vol. 125(C), pages 122-134.
    5. 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.
    6. Long, Ruyin & Ren, Yuan & Wu, Meifen, 2022. "Differential decomposition of total-factor energy efficiency in Chinese coal mining cities considering environmental constraints: A dynamic and static perspective," Resources Policy, Elsevier, vol. 79(C).
    7. Luqi Wang & Xiaolong Xue & Yue Shi & Zeyu Wang & Ankang Ji, 2018. "A Dynamic Analysis to Evaluate the Environmental Performance of Cities in China," Sustainability, MDPI, vol. 10(3), pages 1-16, March.
    8. 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.
    9. Kekui Chen & Jianming Fu & Yun Gong & Jian Wang & Shilin Lv & Yajie Liu & Jingyun Li, 2022. "Study on the Influencing Factors of CO 2 from the Perspective of CO 2 Mitigation Potentials," Sustainability, MDPI, vol. 14(15), pages 1-22, July.
    10. Takayabu, Hirotaka, 2020. "CO2 mitigation potentials in manufacturing sectors of 26 countries," Energy Economics, Elsevier, vol. 86(C).
    11. Jin-Li Hu & Tzu-Pu Chang, 2021. "Evaluating the Context-Dependent Total-Factor Energy Efficiency of Counties and Cities in Taiwan," Energies, MDPI, vol. 14(15), pages 1-10, July.
    12. Chen, Zhongfei & Huang, Wanjing & Zheng, Xian, 2019. "The decline in energy intensity: Does financial development matter?," Energy Policy, Elsevier, vol. 134(C).

  5. Ming-Chung Chang & Ching-Hua Yu, 2017. "Estimation of energy productivity change in Baltic Sea and EU non-Baltic Sea states," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 17(1), pages 78-102.

    Cited by:

    1. Zurano-Cervelló, Patricia & Pozo, Carlos & Mateo-Sanz, Josep María & Jiménez, Laureano & Guillén-Gosálbez, Gonzalo, 2019. "Sustainability efficiency assessment of the electricity mix of the 28 EU member countries combining data envelopment analysis and optimized projections," Energy Policy, Elsevier, vol. 134(C).

  6. Chang, Ming-Chung, 2016. "Applying the energy productivity index that considers maximized energy reduction on SADC (Southern Africa Development Community) members," Energy, Elsevier, vol. 95(C), pages 313-323.

    Cited by:

    1. Chia-Jung Tu & Ming-Chung Chang & Chiang-Ping Chen, 2016. "Progressive Time-Weighted Dynamic Energy Efficiency, Energy Decoupling Rate, and Decarbonization: An Empirical Study on G7 and BRICS," Sustainability, MDPI, vol. 8(9), pages 1-17, September.
    2. Mutiu A. Oyinlola & Abdulfatai A. Adedeji & Nafisat Olabisi, 2021. "Technology, energy use, and agricultural value addition nexus: an exploratory analysis from SSA countries," Economic Change and Restructuring, Springer, vol. 54(2), pages 457-490, May.
    3. 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).
    4. Henseler, Martin & Maisonnave, Helene, 2018. "Low world oil prices: A chance to reform fuel subsidies and promote public transport? A case study for South Africa," Transportation Research Part A: Policy and Practice, Elsevier, vol. 108(C), pages 45-62.
    5. Chang, Ming-Chung, 2020. "An application of total-factor energy efficiency under the metafrontier framework," Energy Policy, Elsevier, vol. 142(C).
    6. Wen-Chi Yang & Wen-Min Lu & Alagu Perumal Ramasamy, 2021. "International Environmental Efficiency Trends and the Impact of the Paris Agreement," Energies, MDPI, vol. 14(15), pages 1-16, July.
    7. Lin, Boqiang & Sai, Rockson, 2022. "Has mining agglomeration affected energy productivity in Africa?," Energy, Elsevier, vol. 244(PA).

  7. Chia-Jung Tu & Ming-Chung Chang & Chiang-Ping Chen, 2016. "Progressive Time-Weighted Dynamic Energy Efficiency, Energy Decoupling Rate, and Decarbonization: An Empirical Study on G7 and BRICS," Sustainability, MDPI, vol. 8(9), pages 1-17, September.

    Cited by:

    1. Ibrahim Alnafrah, 2021. "Efficiency evaluation of BRICS’s national innovation systems based on bias-corrected network data envelopment analysis," Journal of Innovation and Entrepreneurship, Springer, vol. 10(1), pages 1-28, December.
    2. Weihua Su & Yuying Wang & Dalia Streimikiene & Tomas Balezentis & Chonghui Zhang, 2020. "Carbon dioxide emission decomposition along the gradient of economic development: The case of energy sustainability in the G7 and Brazil, Russia, India, China and South Africa," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 657-669, July.
    3. 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.

  8. Chang, Ming-Chung, 2014. "Energy intensity, target level of energy intensity, and room for improvement in energy intensity: An application to the study of regions in the EU," Energy Policy, Elsevier, vol. 67(C), pages 648-655.

    Cited by:

    1. Octavio Fernández-Amador & Joseph F. Francois & Doris A. Oberdabernig & Patrick Tomberger, 2021. "Energy footprints and the international trade network: A new dataset. Is the European Union doing it better?," Working Papers 2021-22, Faculty of Economics and Statistics, Universität Innsbruck.
    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. Beaudreau, Bernard C. & Lightfoot, H. Douglas, 2015. "The physical limits to economic growth by R&D funded innovation," Energy, Elsevier, vol. 84(C), pages 45-52.
    4. Wen, Shibin & Liu, Hongman, 2022. "Research on energy conservation and carbon emission reduction effects and mechanism: Quasi-experimental evidence from China," Energy Policy, Elsevier, vol. 169(C).
    5. Pan, Xiongfeng & Xu, Haitao & Feng, Shenghan, 2022. "The economic and environment impacts of energy intensity target constraint: Evidence from low carbon pilot cities in China," Energy, Elsevier, vol. 261(PA).
    6. Chen, Xiang & Chen, Yong & Huang, Wenli & Zhang, Xuping, 2023. "A new Malmquist-type green total factor productivity measure: An application to China," Energy Economics, Elsevier, vol. 117(C).
    7. Nicolas Schneider & Avik Sinha, 2023. "Better clean or efficient? Panel regressions," Climatic Change, Springer, vol. 176(8), pages 1-24, August.
    8. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    9. Li, Ke & Lin, Boqiang, 2015. "The efficiency improvement potential for coal, oil and electricity in China's manufacturing sectors," Energy, Elsevier, vol. 86(C), pages 403-413.
    10. Kun Lv & Shurong Yu & Dian Fu & Jingwen Wang & Chencheng Wang & Junbai Pan, 2022. "The Impact of Financial Development and Green Finance on Regional Energy Intensity: New Evidence from 30 Chinese Provinces," Sustainability, MDPI, vol. 14(15), pages 1-29, July.
    11. 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.
    12. Nielsen, Hana & Warde, Paul & Kander, Astrid, 2018. "East versus West: Energy intensity in coal-rich Europe, 1800–2000," Energy Policy, Elsevier, vol. 122(C), pages 75-83.
    13. 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.
    14. Özkara, Yücel & Atak, Mehmet, 2015. "Regional total-factor energy efficiency and electricity saving potential of manufacturing industry in Turkey," Energy, Elsevier, vol. 93(P1), pages 495-510.
    15. Paola Garrone & Luca Grilli & Boris Mrkajic, 2018. "The role of institutional pressures in the introduction of energy‐efficiency innovations," Business Strategy and the Environment, Wiley Blackwell, vol. 27(8), pages 1245-1257, December.
    16. Rafael Alvarado & Cristian Ortiz & Lizeth Cuesta & Brayan Tillaguango, 2023. "Spillovers impact of institutional and economic factors in energy intensity," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(3), pages 1805-1823, June.
    17. Zhu, Lin & Wang, Yong & Shang, Peipei & Qi, Lin & Yang, Guangchun & Wang, Ying, 2019. "Improvement path, the improvement potential and the dynamic evolution of regional energy efficiency in China: Based on an improved nonradial multidirectional efficiency analysis," Energy Policy, Elsevier, vol. 133(C).
    18. Ruyin Long & Qin Zhang & Hong Chen & Meifen Wu & Qianwen Li, 2020. "Measurement of the Energy Intensity of Human Well-Being and Spatial Econometric Analysis of Its Influencing Factors," IJERPH, MDPI, vol. 17(1), pages 1-21, January.
    19. Ching-Ren Chiu & Ming-Chung Chang & Jin-Li Hu, 2022. "Energy intensity improvement and energy productivity changes: an analysis of BRICS and G7 countries," Journal of Productivity Analysis, Springer, vol. 57(3), pages 297-311, June.
    20. Liu, Haomin & Zhang, Zaixu & Zhang, Tao & Wang, Liyang, 2020. "Revisiting China’s provincial energy efficiency and its influencing factors," Energy, Elsevier, vol. 208(C).
    21. Ruslan Kostyrko & Tetiana Kosova & Lidiia Kostyrko & Liudmyla Zaitseva & Oleksandr Melnychenko, 2021. "Ukrainian Market of Electrical Energy: Reforming, Financing, Innovative Investment, Efficiency Analysis, and Audit," Energies, MDPI, vol. 14(16), pages 1-17, August.
    22. Sanz-Díaz, María Teresa & Velasco-Morente, Francisco & Yñiguez, Rocío & Díaz-Calleja, Emilio, 2017. "An analysis of Spain's global and environmental efficiency from a European Union perspective," Energy Policy, Elsevier, vol. 104(C), pages 183-193.
    23. António Mateus & Luís Martins, 2021. "Building a mineral-based value chain in Europe: the balance between social acceptance and secure supply," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 34(2), pages 239-261, July.
    24. Wang, Jianda & Dong, Kangyin & Hochman, Gal & Timilsina, Govinda R., 2023. "Factors driving aggregate service sector energy intensities in Asia and Eastern Europe: A LMDI analysis," Energy Policy, Elsevier, vol. 172(C).
    25. 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.
    26. Li, Ke & Lin, Boqiang, 2015. "The improvement gap in energy intensity: Analysis of China's thirty provincial regions using the improved DEA (data envelopment analysis) model," Energy, Elsevier, vol. 84(C), pages 589-599.
    27. Li, Li & Wang, Jianjun & Tan, Zhongfu & Ge, Xinquan & Zhang, Jian & Yun, Xiaozhe, 2014. "Policies for eliminating low-efficiency production capacities and improving energy efficiency of energy-intensive industries in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 312-326.
    28. 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.
    29. 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.

  9. Chang, Ming-Chung, 2013. "A comment on the calculation of the total-factor energy efficiency (TFEE) index," Energy Policy, Elsevier, vol. 53(C), pages 500-504.

    Cited by:

    1. Chang, Ming-Chung, 2016. "Applying the energy productivity index that considers maximized energy reduction on SADC (Southern Africa Development Community) members," Energy, Elsevier, vol. 95(C), pages 313-323.
    2. Wenxuan Ma, 2022. "Exploring the Role of Educational Human Capital and Green Finance in Total-Factor Energy Efficiency in the Context of Sustainable Development," Sustainability, MDPI, vol. 15(1), pages 1-18, December.
    3. Sanzidur Rahman & Basanta Kumar Barmon, 2018. "Total Factor Energy Productivity and Efficiency Changes of the Gher (Prawn-Carp-Rice) Farming System in Bangladesh: A Stochastic Input Distance Function Approach," Energies, MDPI, vol. 11(12), pages 1-17, December.
    4. Li, Jianglong & Lin, Boqiang, 2017. "Ecological total-factor energy efficiency of China's heavy and light industries: Which performs better?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 83-94.
    5. Chen, Weidong & Geng, Wenxin, 2017. "Fossil energy saving and CO2 emissions reduction performance, and dynamic change in performance considering renewable energy input," Energy, Elsevier, vol. 120(C), pages 283-292.
    6. Li, Ke & Lin, Boqiang, 2015. "The efficiency improvement potential for coal, oil and electricity in China's manufacturing sectors," Energy, Elsevier, vol. 86(C), pages 403-413.
    7. Ma, Guangcheng & Cao, Jianhua & Famanta, Mahamane, 2023. "Does the coordinated development of two-way FDI increase the green energy efficiency of Chinese cities? Evidence from Chinese listed companies," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 59-77.
    8. Xu, Mengmeng & Tan, Ruipeng, 2021. "Removing energy allocation distortion to increase economic output and energy efficiency in China," Energy Policy, Elsevier, vol. 150(C).
    9. Shao, Jun & Wang, Lianghu, 2023. "Can new-type urbanization improve the green total factor energy efficiency? Evidence from China," Energy, Elsevier, vol. 262(PB).
    10. 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).
    11. Yang Li & An-Chi Liu & Shu-Mei Wang & Yiting Zhan & Jingran Chen & Hsiao-Fen Hsiao, 2022. "A Study of Total-Factor Energy Efficiency for Regional Sustainable Development in China: An Application of Bootstrapped DEA and Clustering Approach," Energies, MDPI, vol. 15(9), pages 1-13, April.
    12. Guo, Qiu-tong & Dong, Yong & Feng, Biao & Zhang, Hao, 2023. "Can green finance development promote total-factor energy efficiency? Empirical evidence from China based on a spatial Durbin model," Energy Policy, Elsevier, vol. 177(C).
    13. Li, Ke & Lin, Boqiang, 2017. "Economic growth model, structural transformation, and green productivity in China," Applied Energy, Elsevier, vol. 187(C), pages 489-500.
    14. Weixin Yang & Lingguang Li, 2017. "Energy Efficiency, Ownership Structure, and Sustainable Development: Evidence from China," Sustainability, MDPI, vol. 9(6), pages 1-26, June.
    15. Wang, Lianghu & Shao, Jun, 2023. "Digital economy, entrepreneurship and energy efficiency," Energy, Elsevier, vol. 269(C).
    16. Ching-Ren Chiu & Ming-Chung Chang & Jin-Li Hu, 2022. "Energy intensity improvement and energy productivity changes: an analysis of BRICS and G7 countries," Journal of Productivity Analysis, Springer, vol. 57(3), pages 297-311, June.
    17. 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).
    18. Weixin Yang & Lingguang Li, 2017. "Analysis of Total Factor Efficiency of Water Resource and Energy in China: A Study Based on DEA-SBM Model," Sustainability, MDPI, vol. 9(8), pages 1-21, July.
    19. Chang, Ming-Chung, 2014. "Energy intensity, target level of energy intensity, and room for improvement in energy intensity: An application to the study of regions in the EU," Energy Policy, Elsevier, vol. 67(C), pages 648-655.
    20. Li, Ke & Lin, Boqiang, 2015. "The improvement gap in energy intensity: Analysis of China's thirty provincial regions using the improved DEA (data envelopment analysis) model," Energy, Elsevier, vol. 84(C), pages 589-599.
    21. 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).
    22. Jianting Lin & Changxin Xu, 2017. "The Impact of Environmental Regulation on Total Factor Energy Efficiency: A Cross-Region Analysis in China," Energies, MDPI, vol. 10(10), pages 1-17, October.
    23. Jin-Li Hu & Tzu-Pu Chang, 2021. "Evaluating the Context-Dependent Total-Factor Energy Efficiency of Counties and Cities in Taiwan," Energies, MDPI, vol. 14(15), pages 1-10, July.

  10. Ming-Chung Chang & Jin-Li Hu, 2013. "Public Governance and the Operational and Environmental Efficiencies of EU Countries," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 3(4), pages 1-10.

    Cited by:

    1. Heri Bezić & Davor Mance & Davorin Balaž, 2022. "Panel Evidence from EU Countries on CO 2 Emission Indicators during the Fourth Industrial Revolution," Sustainability, MDPI, vol. 14(19), pages 1-25, October.

  11. Ming-Chung Chang & Jin-Li Hu & Gwo-Hshiung Tzeng, 2009. "Decision Making On Strategic Environmental Technology Licensing: Fixed-Fee Versus Royalty Licensing Methods," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 8(03), pages 609-624.

    Cited by:

    1. Hao Xu & Deqing Tan, 2023. "Optimal Abatement Technology Licensing in a Dynamic Transboundary Pollution Game: Fixed Fee Versus Royalty," Computational Economics, Springer;Society for Computational Economics, vol. 61(3), pages 905-935, March.

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NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-COM: Industrial Competition (1) 2010-12-11

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