Sheng Dai

Personal Details

First Name:	Sheng
Middle Name:
Last Name:	Dai
Suffix:
RePEc Short-ID:	pda998
	[This author has chosen not to make the email address public]
	https://daisheng.org
Terminal Degree:	2022 Kauppakorkeakoulu; Aalto-yliopisto (from RePEc Genealogy)

Affiliation

School of Economics
Zhongnan University of Economics and Law

Wuhan, China
http://jjxy.zuel.edu.cn/
RePEc:edi:seznucn (more details at EDIRC)

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

Sorry, no citations of working papers recorded.

Articles

1. Jiahui Yi & Sheng Dai & Jinhua Cheng & Yueer Dai, 2024. "Heterogeneous Effect of Renewable Energy Policies on Resource Misallocation: Evidence From Chinese Zombie Firms," The Energy Journal, , vol. 45(5), pages 33-63, September.

   Cited by:

   1. Yanqiu Zhu & Ming Zhang & Hongan Chen & Jun Ma & Fei Pan, 2025. "The Impact of China’s Circular Economy Demonstration Policy on Urban Green Innovation Efficiency," Sustainability, MDPI, vol. 17(15), pages 1-20, August.

2. Yi, Jiahui & Dai, Sheng & Li, Lin & Cheng, Jinhua, 2024. "How does digital economy development affect renewable energy innovation?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).

   Cited by:

   1. Liu, Jiamin & Zhang, Jiaoning & Ma, Xiaoyu & Zhao, Bin & Zhang, Mengyu, 2024. "The road to sustainable development: Can the new energy demonstration city policy promote the industrial structure transformation?," Renewable Energy, Elsevier, vol. 237(PB).
   2. Zheng, Mingbo & Zhang, Xinyu, 2025. "Digitalization and renewable energy development: Analysis based on cross-country panel data," Energy, Elsevier, vol. 319(C).
   3. Hashemizadeh, Ali & Ju, Yanbing & Abadi, Faezeh Zareian Baghdad, 2024. "Policy design for renewable energy development based on government support: A system dynamics model," Applied Energy, Elsevier, vol. 376(PB).
   4. Wang, Minglu & Ouyang, Kexin & Jing, Peng, 2025. "Dynamic interplay of energy uncertainty, supply chain disruption, and digital transformation on China's renewable energy stocks," Energy Economics, Elsevier, vol. 141(C).
   5. Yu Chen & Yijie Wang & Dawei Mei & Liang Wang, 2025. "Coupling Coordination and Influencing Factors Between Digital Economy and Urban–Rural Integration in China," Sustainability, MDPI, vol. 17(17), pages 1-25, August.
   6. Liu, Xiaoqian & Jia, You & Zhu, Conghao & Wang, Chang’an & Yao, Jian, 2025. "Policy-driven innovation: Does the renewable energy development initiative foster corporate innovation in renewable energy technologies?," International Review of Financial Analysis, Elsevier, vol. 102(C).
   7. Haoyu Si & Zia Ur Rahman, 2024. "Embracing the digital revolution: Examining the relationship between ICT adoption and carbon emissions in the Persian Gulf," PLOS ONE, Public Library of Science, vol. 19(6), pages 1-22, June.
   8. Ozturk, Ilhan & Ullah, Sana & Sohail, Sidra & Sohail, Muhammad Tayyab, 2025. "How do digital government, circular economy, and environmental regulatory stringency affect renewable energy production?," Energy Policy, Elsevier, vol. 203(C).
   9. Chu, Zhongzhu & Zhang, Qiyuan & Tan, Weijie & Chen, Pengyu, 2024. "Assessing the impact of climate policy stringency on corporate energy innovation: Insights from China," Energy Economics, Elsevier, vol. 140(C).
   10. Holzapfel, Peter K.R. & Bánk, János & Bach, Vanessa & Finkbeiner, Matthias, 2024. "Relevance of guarantees of origin for Europe's renewable energy targets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 205(C).
   11. Hwang, Young Kyu & Sánchez Díez, Ángeles, 2024. "Renewable energy transition and green growth nexus in Latin America," Renewable and Sustainable Energy Reviews, Elsevier, vol. 198(C).
   12. Cao, Lihong & Wang, Yueying & Yu, Jinyi & Zhang, Yikai & Yin, Xiaoye, 2024. "The impact of digital economy on low-carbon transition: What is the role of human capital?," Finance Research Letters, Elsevier, vol. 69(PB).
   13. Wang, Haijun & Ge, Chen & Du, Xiance & Feng, Yiqiang & Wang, Weicheng, 2024. "Does digital literacy reduce intergenerational income dependency?," International Review of Financial Analysis, Elsevier, vol. 95(PB).
   14. Shuao Sun & Sheeraz Ahmed, 2024. "Navigating and Overcoming Barriers to Digital Energy Transition for Carbon Neutrality in China," Energies, MDPI, vol. 17(23), pages 1-23, November.
   15. Huang, Xinpeng & Wen, Huwei, 2025. "The constraining dynamics of political instability on renewable energy development: International evidence," Renewable Energy, Elsevier, vol. 246(C).
   16. Pea-Assounga, Jean Baptiste Bernard & Bambi, Prince Dorian Rivel & Jafarzadeh, Elham & Nima Ngapey, Jonathan Dior, 2025. "Investigating the impact of crude oil prices, CO2 emissions, renewable energy, population growth, trade openness, and FDI on sustainable economic growth," Renewable Energy, Elsevier, vol. 241(C).
   17. Rabindra Nepal & Yang Liu & Kangyin Dong & Tooraj Jamasb, 2024. "Green Financing, Energy Transformation, and the Moderating Effect of Digital Economy in Developing Countries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(12), pages 3357-3386, December.
   18. Doğan, Buhari & Khalfaoui, Rabeh & Bergougui, Brahim & Ghosh, Sudeshna, 2025. "Unveiling the impact of the digital economy on the interplay of energy transition, environmental transformation, and renewable energy adoption," Research in International Business and Finance, Elsevier, vol. 76(C).
   19. Huang, Shuai & Tan, Huizhu, 2025. "Evaluating the effects of green supply chain, digital technologies, and energy prices on renewable energy innovations: A way forward for an emerging economy," Energy Economics, Elsevier, vol. 141(C).
   20. Dogan, Buhari & Nketiah, Emmanuel & Ghosh, Sudeshna & Nassani, Abdelmohsen A., 2025. "The impact of the green technology on the renewable energy innovation: Fresh pieces of evidence under the role of research & development and digital economy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 210(C).
   21. Dong, Zequn & Tan, Chaodan & Ma, Biao & Ning, Zhaoshuo, 2024. "The impact of artificial intelligence on the energy transition: The role of regulatory quality as a guardrail, not a wall," Energy Economics, Elsevier, vol. 140(C).
   22. Wang, Meijun & Liu, Chan & Tan, Zhanglu & Ye, Zihan & Lv, Hanbing, 2025. "Synergistic pathways towards greening and digital transformations of Chinese primary energy producers: Reassessing the microeconomic effects of environmental regulation," Energy, Elsevier, vol. 325(C).
   23. Sun, Chuanwang & Khan, Anwar & Xue, Juntao & Huang, Xiaoyong, 2024. "Are digital economy and financial structure driving renewable energy technology innovations: A major eight countries perspective," Applied Energy, Elsevier, vol. 362(C).
   24. Guoyan Huang & Xiao Li & Zhen Chu, 2024. "The government’s environmental attention and corporate green innovation: A threshold analysis and quantile regression approach," PLOS ONE, Public Library of Science, vol. 19(10), pages 1-18, October.
   25. Song, Hongti & Chen, Wei, 2025. "A digital blueprint for sustainability: Can digital infrastructure policies promote renewable energy innovation?," Renewable Energy, Elsevier, vol. 244(C).
   26. Lirong Wang & Tian Wang & Shengxia Xu & Yaru Zhang, 2025. "Modeling Relations Between Digital Economy and Regional Innovation: A Multi-Transmission Effect from Environmental Performance," Sustainability, MDPI, vol. 17(17), pages 1-25, September.
   27. Jingyun Li & Zhenran Li & Feng Dong & Haitao Wu, 2025. "How to efficiently enhance sustainable development through the digital economy? Evidence from 60 countries," Economic Change and Restructuring, Springer, vol. 58(1), pages 1-29, February.

3. Liao, Zhiqiang & Dai, Sheng & Kuosmanen, Timo, 2024. "Convex support vector regression," European Journal of Operational Research, Elsevier, vol. 313(3), pages 858-870.

   Cited by:

   1. Maggioni, Francesca & Spinelli, Andrea, 2025. "A novel robust optimization model for nonlinear Support Vector Machine," European Journal of Operational Research, Elsevier, vol. 322(1), pages 237-253.
   2. Huang, Ling-Wei & Shao, Yuan-Hai & Lv, Xiao-Jing & Li, Chun-Na, 2024. "Large-scale robust regression with truncated loss via majorization-minimization algorithm," European Journal of Operational Research, Elsevier, vol. 319(2), pages 494-504.
   3. Mostafa M. Radwan & Elsaid M. M. Zahran & Osama Dawoud & Ziyad Abunada & Ahmad Mousa, 2024. "Comparative Analysis of Asphalt Pavement Condition Prediction Models," Sustainability, MDPI, vol. 17(1), pages 1-22, December.
   4. Xie, Jianhui & Pan, Zhewen, 2025. "Structure identification for partially linear partially concave models," European Journal of Operational Research, Elsevier, vol. 324(1), pages 142-154.
   5. Wu, Xiaofei & Liang, Rongmei & Zhang, Zhimin & Cui, Zhenyu, 2025. "A unified consensus-based parallel algorithm for high-dimensional regression with combined regularizations," Computational Statistics & Data Analysis, Elsevier, vol. 203(C).
   6. Shan, Shan, 2024. "Unveiling Socioeconomic Factors Shaping Global Food Prices and Security: A Machine Learning Approach," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 21(2), December.
   7. Zhiqiang Liao, 2024. "Variable selection in convex nonparametric least squares via structured Lasso: An application to the Swedish electricity distribution networks," Papers 2409.01911, arXiv.org, revised Nov 2024.
   8. Ali Sahleh & Maziar Salahi & Sadegh Eskandari & Tahereh Khodamoradi, 2025. "Extended twin parametric margin support vector regression," OPSEARCH, Springer;Operational Research Society of India, vol. 62(2), pages 682-705, June.

4. Dai, Sheng & Kuosmanen, Timo & Zhou, Xun, 2023. "Non-crossing convex quantile regression," Economics Letters, Elsevier, vol. 233(C).

   Cited by:

   1. Dai, Sheng & Kuosmanen, Natalia & Kuosmanen, Timo & Liesiö, Juuso, 2025. "Optimal resource allocation: Convex quantile regression approach," European Journal of Operational Research, Elsevier, vol. 324(1), pages 221-230.
      • Sheng Dai & Natalia Kuosmanen & Timo Kuosmanen & Juuso Liesio, 2023. "Optimal resource allocation: Convex quantile regression approach," Papers 2311.06590, arXiv.org.
   2. Timo Kuosmanen & Sheng Dai, 2023. "Modeling economies of scope in joint production: Convex regression of input distance function," Papers 2311.11637, arXiv.org.
      • Timo Kuosmanen & Sheng Dai, 2025. "Modeling economies of scope in joint production: Convex regression of input distance function," Journal of Productivity Analysis, Springer, vol. 63(1), pages 69-86, February.
   3. Kuosmanen, Natalia & Kuosmanen, Timo & Maczulskij, Terhi & Zhou, Xun, 2024. "Least-cost Decarbonization Pathways for Electricity Generation in Finland: A Convex Quantile Regression Approach," ETLA Working Papers 114, The Research Institute of the Finnish Economy.

5. Timo Kuosmanen & Yong Tan & Sheng Dai, 2023. "Performance analysis of English hospitals during the first and second waves of the coronavirus pandemic," Health Care Management Science, Springer, vol. 26(3), pages 447-460, September.

   Cited by:

   1. Kuosmanen, Natalia & Kuosmanen, Timo & Maczulskij, Terhi & Zhou, Xun, 2024. "Least-cost Decarbonization Pathways for Electricity Generation in Finland: A Convex Quantile Regression Approach," ETLA Working Papers 114, The Research Institute of the Finnish Economy.

6. Dai, Sheng, 2023. "Variable selection in convex quantile regression: L1-norm or L0-norm regularization?," European Journal of Operational Research, Elsevier, vol. 305(1), pages 338-355.

   Cited by:

   1. Fu, Saiji & Tian, Yingjie & Tang, Long, 2023. "Robust regression under the general framework of bounded loss functions," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1325-1339.
   2. Dai, Sheng & Kuosmanen, Natalia & Kuosmanen, Timo & Liesiö, Juuso, 2025. "Optimal resource allocation: Convex quantile regression approach," European Journal of Operational Research, Elsevier, vol. 324(1), pages 221-230.
      • Sheng Dai & Natalia Kuosmanen & Timo Kuosmanen & Juuso Liesio, 2023. "Optimal resource allocation: Convex quantile regression approach," Papers 2311.06590, arXiv.org.
   3. Dai, Sheng & Kuosmanen, Timo & Zhou, Xun, 2023. "Generalized quantile and expectile properties for shape constrained nonparametric estimation," European Journal of Operational Research, Elsevier, vol. 310(2), pages 914-927.
   4. Liao, Zhiqiang & Dai, Sheng & Kuosmanen, Timo, 2024. "Convex support vector regression," European Journal of Operational Research, Elsevier, vol. 313(3), pages 858-870.
   5. Zhiqiang Liao & Sheng Dai & Eunji Lim & Timo Kuosmanen, 2024. "Overfitting Reduction in Convex Regression," Papers 2404.09528, arXiv.org, revised Oct 2024.
   6. Dai, Sheng & Kuosmanen, Timo & Zhou, Xun, 2023. "Non-crossing convex quantile regression," Economics Letters, Elsevier, vol. 233(C).
   7. Zhiqiang Liao, 2024. "Variable selection in convex nonparametric least squares via structured Lasso: An application to the Swedish electricity distribution networks," Papers 2409.01911, arXiv.org, revised Nov 2024.

7. Dai, Sheng & Kuosmanen, Timo & Zhou, Xun, 2023. "Generalized quantile and expectile properties for shape constrained nonparametric estimation," European Journal of Operational Research, Elsevier, vol. 310(2), pages 914-927.

   Cited by:

   1. Dai, Sheng & Kuosmanen, Natalia & Kuosmanen, Timo & Liesiö, Juuso, 2025. "Optimal resource allocation: Convex quantile regression approach," European Journal of Operational Research, Elsevier, vol. 324(1), pages 221-230.
      • Sheng Dai & Natalia Kuosmanen & Timo Kuosmanen & Juuso Liesio, 2023. "Optimal resource allocation: Convex quantile regression approach," Papers 2311.06590, arXiv.org.
   2. Xie, Jianhui & Pan, Zhewen, 2025. "Structure identification for partially linear partially concave models," European Journal of Operational Research, Elsevier, vol. 324(1), pages 142-154.
   3. Dai, Sheng & Kuosmanen, Timo & Zhou, Xun, 2023. "Non-crossing convex quantile regression," Economics Letters, Elsevier, vol. 233(C).
   4. Kuosmanen, Natalia & Kuosmanen, Timo & Maczulskij, Terhi & Zhou, Xun, 2024. "Least-cost Decarbonization Pathways for Electricity Generation in Finland: A Convex Quantile Regression Approach," ETLA Working Papers 114, The Research Institute of the Finnish Economy.

8. Yi, Jiahui & Dai, Sheng & Cheng, Jinhua & Wu, Qiaosheng & Liu, Kailei, 2021. "Production quota policy in China: Implications for sustainable supply capacity of critical minerals," Resources Policy, Elsevier, vol. 72(C).

   Cited by:

   1. Fikru, Mahelet G. & Awuah-Offei, Kwame, 2022. "An economic framework for producing critical minerals as joint products," Resources Policy, Elsevier, vol. 77(C).
   2. Chuandi Fang & Jinhua Cheng & Zhe You & Jiahao Chen & Jing Peng, 2023. "A Detailed Examination of China’s Clean Energy Mineral Consumption: Footprints, Trends, and Drivers," Sustainability, MDPI, vol. 15(23), pages 1-26, November.

9. Dai, Sheng & Zhou, Xun & Kuosmanen, Timo, 2020. "Forward-looking assessment of the GHG abatement cost: Application to China," Energy Economics, Elsevier, vol. 88(C).

   Cited by:

   1. Yin, Kai & Yao, Xin, 2025. "How has China's urban compactness affected urban CO2 abatement costs?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 211(C).
   2. Yunfei An & Xunpeng Shi & Qunwei Wang & Jian Yu & Dequn Zhou & Xiaoyong Zhou, 2023. "China's manufacturing firms' willingness to pay for carbon abatement: A cost perspective," Business Strategy and the Environment, Wiley Blackwell, vol. 32(8), pages 5477-5486, December.
   3. Dai, Sheng & Kuosmanen, Natalia & Kuosmanen, Timo & Liesiö, Juuso, 2025. "Optimal resource allocation: Convex quantile regression approach," European Journal of Operational Research, Elsevier, vol. 324(1), pages 221-230.
      • Sheng Dai & Natalia Kuosmanen & Timo Kuosmanen & Juuso Liesio, 2023. "Optimal resource allocation: Convex quantile regression approach," Papers 2311.06590, arXiv.org.
   4. Xian, Yujiao & Hu, Zhihui & Wang, Ke, 2023. "The least-cost abatement measure of carbon emissions for China's glass manufacturing industry based on the marginal abatement costs," Energy, Elsevier, vol. 284(C).
   5. Jingyan Fu & Artie W. Ng, 2021. "Scaling up Renewable Energy Assets: Issuing Green Bond via Structured Public-Private Collaboration for Managing Risk in an Emerging Economy," Energies, MDPI, vol. 14(11), pages 1-16, May.
   6. Dai, Sheng & Kuosmanen, Timo & Zhou, Xun, 2023. "Generalized quantile and expectile properties for shape constrained nonparametric estimation," European Journal of Operational Research, Elsevier, vol. 310(2), pages 914-927.
   7. Wu, F. & Wang, S.Y. & Zhou, P., 2023. "Marginal abatement cost of carbon dioxide emissions: The role of abatement options," European Journal of Operational Research, Elsevier, vol. 310(2), pages 891-901.
   8. Quinn, Barry & Gallagher, Ronan & Kuosmanen, Timo, 2023. "Lurking in the shadows: The impact of CO2 emissions target setting on carbon pricing in the Kyoto agreement period," Energy Economics, Elsevier, vol. 118(C).
   9. Wen, Xiaojie & Yao, Shunbo & Sauer, Johannes, 2022. "Shadow prices and abatement cost of soil erosion in Shaanxi Province, China: Convex expectile regression approach," Ecological Economics, Elsevier, vol. 201(C).
   10. Bei Gao & Zuoren Sun, 2023. "Marginal CO 2 and SO 2 Abatement Costs and Determinants of Coal-Fired Power Plants in China: Considering a Two-Stage Production System with Different Emission Reduction Approaches," Energies, MDPI, vol. 16(8), pages 1-26, April.
   11. Kuosmanen, Natalia & Kuosmanen, Timo & Maczulskij, Terhi & Zhou, Xun, 2024. "Least-cost Decarbonization Pathways for Electricity Generation in Finland: A Convex Quantile Regression Approach," ETLA Working Papers 114, The Research Institute of the Finnish Economy.
   12. Kuosmanen, Timo & Zhou, Xun, 2021. "Shadow prices and marginal abatement costs: Convex quantile regression approach," European Journal of Operational Research, Elsevier, vol. 289(2), pages 666-675.
   13. Dai, Sheng, 2023. "Variable selection in convex quantile regression: L1-norm or L0-norm regularization?," European Journal of Operational Research, Elsevier, vol. 305(1), pages 338-355.
   14. Shirong Zhao & Guangshun Qiao, 2022. "The shadow prices of CO2, SO2 and NOx for U.S. coal power industry 2010–2017: a convex quantile regression method," Journal of Productivity Analysis, Springer, vol. 57(3), pages 243-253, June.

10. Kuosmanen, Timo & Zhou, Xun & Dai, Sheng, 2020. "How much climate policy has cost for OECD countries?," World Development, Elsevier, vol. 125(C).

    Cited by:

    1. Yin, Kai & Yao, Xin, 2025. "How has China's urban compactness affected urban CO2 abatement costs?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 211(C).
    2. Dai, Sheng & Kuosmanen, Natalia & Kuosmanen, Timo & Liesiö, Juuso, 2025. "Optimal resource allocation: Convex quantile regression approach," European Journal of Operational Research, Elsevier, vol. 324(1), pages 221-230.
       • Sheng Dai & Natalia Kuosmanen & Timo Kuosmanen & Juuso Liesio, 2023. "Optimal resource allocation: Convex quantile regression approach," Papers 2311.06590, arXiv.org.
    3. Erkan Erdogdu, 2025. "Restructuring energy markets for net-zero: the role of market-based solutions," Economic Change and Restructuring, Springer, vol. 58(2), pages 1-40, April.
    4. Sheng-Wei Lin & Wen-Min Lu, 2024. "A chance-constrained network DEA approach based on enhanced Russell-based directional distance measure to evaluate public sector performance: a case study of OECD countries," Annals of Operations Research, Springer, vol. 342(3), pages 1837-1864, November.
    5. Xian, Yujiao & Hu, Zhihui & Wang, Ke, 2023. "The least-cost abatement measure of carbon emissions for China's glass manufacturing industry based on the marginal abatement costs," Energy, Elsevier, vol. 284(C).
    6. Dai, Sheng & Zhou, Xun & Kuosmanen, Timo, 2020. "Forward-looking assessment of the GHG abatement cost: Application to China," Energy Economics, Elsevier, vol. 88(C).
    7. Quinn, Barry & Gallagher, Ronan & Kuosmanen, Timo, 2021. "Lurking in the Shadows: The Impact of Emissions Target Setting on Carbon Pricing and Environmental Efficiency," QBS Working Paper Series 2021/05, Queen's University Belfast, Queen's Business School.
    8. Núñez, Angie Paola Bernal & Gutiérrez-Montes, Isabel & Hernández-Núñez, Héctor Eduardo & Suárez, David Ricardo Gutiérrez & García, Gustavo Adolfo Gutiérrez & Suárez, Juan Carlos & Casanoves, Fernando , 2023. "Diverse farmer livelihoods increase resilience to climate variability in southern Colombia," Land Use Policy, Elsevier, vol. 131(C).
    9. Dai, Sheng & Kuosmanen, Timo & Zhou, Xun, 2023. "Generalized quantile and expectile properties for shape constrained nonparametric estimation," European Journal of Operational Research, Elsevier, vol. 310(2), pages 914-927.
    10. Liao, Zhiqiang & Dai, Sheng & Kuosmanen, Timo, 2024. "Convex support vector regression," European Journal of Operational Research, Elsevier, vol. 313(3), pages 858-870.
    11. Quinn, Barry & Gallagher, Ronan & Kuosmanen, Timo, 2023. "Lurking in the shadows: The impact of CO2 emissions target setting on carbon pricing in the Kyoto agreement period," Energy Economics, Elsevier, vol. 118(C).
    12. Wen, Xiaojie & Yao, Shunbo & Sauer, Johannes, 2022. "Shadow prices and abatement cost of soil erosion in Shaanxi Province, China: Convex expectile regression approach," Ecological Economics, Elsevier, vol. 201(C).
    13. Bei Gao & Zuoren Sun, 2023. "Marginal CO 2 and SO 2 Abatement Costs and Determinants of Coal-Fired Power Plants in China: Considering a Two-Stage Production System with Different Emission Reduction Approaches," Energies, MDPI, vol. 16(8), pages 1-26, April.
    14. Chu, Long & Grafton, R. Quentin & Nguyen, Hai, 2022. "A global analysis of the break-even prices to reduce atmospheric carbon dioxide via forest plantation and avoided deforestation," Forest Policy and Economics, Elsevier, vol. 135(C).
    15. Kuosmanen, Timo & Zhou, Xun, 2021. "Shadow prices and marginal abatement costs: Convex quantile regression approach," European Journal of Operational Research, Elsevier, vol. 289(2), pages 666-675.
    16. Dai, Sheng, 2023. "Variable selection in convex quantile regression: L1-norm or L0-norm regularization?," European Journal of Operational Research, Elsevier, vol. 305(1), pages 338-355.
    17. Shirong Zhao & Guangshun Qiao, 2022. "The shadow prices of CO2, SO2 and NOx for U.S. coal power industry 2010–2017: a convex quantile regression method," Journal of Productivity Analysis, Springer, vol. 57(3), pages 243-253, June.

11. Cheng, Jinhua & Dai, Sheng & Ye, Xinyue, 2016. "Spatiotemporal heterogeneity of industrial pollution in China," China Economic Review, Elsevier, vol. 40(C), pages 179-191.

    Cited by:

    1. Xingwei Li & Jianguo Du & Hongyu Long, 2019. "Green Development Behavior and Performance of Industrial Enterprises Based on Grounded Theory Study: Evidence from China," Sustainability, MDPI, vol. 11(15), pages 1-19, July.
    2. 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.
    3. Fang, Debin & Yu, Bolin, 2021. "Driving mechanism and decoupling effect of PM2.5 emissions: Empirical evidence from China’s industrial sector," Energy Policy, Elsevier, vol. 149(C).
    4. Tian Tian & Li Li & Jing Wang, 2022. "The Effect and Mechanism of Agricultural Informatization on Economic Development: Based on a Spatial Heterogeneity Perspective," Sustainability, MDPI, vol. 14(6), pages 1-18, March.
    5. Caoxin Chen & Shiyi Wang & Meixi Liu & Ke Huang & Qiuyi Guo & Wei Xie & Jiangjun Wan, 2025. "Beyond Linearity: Uncovering the Complex Spatiotemporal Drivers of New-Type Urbanization and Eco-Environmental Resilience Coupling in China’s Chengdu–Chongqing Economic Circle with Machine Learning," Land, MDPI, vol. 14(7), pages 1-29, July.
    6. Jin, Gang & Shen, Kunrong & Li, Jian, 2020. "Interjurisdiction political competition and green total factor productivity in China: An inverted-U relationship," China Economic Review, Elsevier, vol. 61(C).
    7. Zhengsong Lin & Xinyue Ye & Qian Wei & Fan Xin & Zhang Lu & Sonali Kudva & Qiwen Dai, 2017. "Ecosystem Services Value Assessment and Uneven Development of the Qingjiang River Basin in China," Sustainability, MDPI, vol. 9(12), pages 1-17, December.
    8. Di Mao & Jiakeng Chen, 2025. "Does the university knowledge spillover promote common prosperity? Empirical evidence from China," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-11, December.
    9. Siwen Ji & Shuhua Ma, 2022. "The effects of industrial pollution on ecosystem service value: a case study in a heavy industrial area, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6804-6833, May.
    10. Halkos, George, 2025. "Data, Distribution, and Modeling Innovations in Spatiotemporal Energy Economics," MPRA Paper 124992, University Library of Munich, Germany.
    11. Bo Chen & Han Wang & Jishun Zhou, 2022. "Producer service foreign direct investment and pollution in China," The World Economy, Wiley Blackwell, vol. 45(10), pages 3294-3311, October.
    12. Jing Wu & Chee Yoong Liew, 2024. "Revisiting the nexus between corporate social responsibility and corporate value: Evidence from China," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(3), pages 2066-2085, May.
    13. Yi Ren & Yuan Tian & Chengqiu Zhang, 2022. "Investigating the mechanisms among industrial agglomeration, environmental pollution and sustainable industrial efficiency: a case study in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 12467-12493, November.
    14. Li, Hao & Guo, Huanxiu, 2021. "Spatial spillovers of pollution via high-speed rail network in China," Transport Policy, Elsevier, vol. 111(C), pages 138-152.
    15. Kaizheng Xiang & Anzhou Zhao & Haixin Liu & Xiangrui Zhang & Anbing Zhang & Xinle Tian & Zihan Jin, 2022. "Spatiotemporal Evolution and Coupling Pattern Analysis of Urbanization and Ecological Environmental Quality of the Chinese Loess Plateau," Sustainability, MDPI, vol. 14(12), pages 1-19, June.
    16. Daikun Wang & Victor Jing Li & Huayi Yu, 2020. "Mass Appraisal Modeling of Real Estate in Urban Centers by Geographically and Temporally Weighted Regression: A Case Study of Beijing’s Core Area," Land, MDPI, vol. 9(5), pages 1-18, May.
    17. Junsong Wang & Xinyue Ye & Yehua Dennis Wei, 2019. "Effects of Agglomeration, Environmental Regulations, and Technology on Pollutant Emissions in China: Integrating Spatial, Social, and Economic Network Analyses," Sustainability, MDPI, vol. 11(2), pages 1-20, January.
    18. Zaman, Qamar uz & Zhao, Yuhuan & Zaman, Shah & Shah, Aadil Hameed, 2023. "Examining the symmetrical effect of traditional energy resources, industrial production, and poverty lessening on ecological sustainability: Policy track in the milieu of five neighboring Asian econom," Resources Policy, Elsevier, vol. 83(C).
    19. Chenglin Qin & Xinyue Ye & Yingxia Liu, 2017. "Spatial Club Convergence of Regional Economic Growth in Inland China," Sustainability, MDPI, vol. 9(7), pages 1-14, July.
    20. Hongbo Li & Yali Liu & Anlu Zhang, 2018. "Spatially varying associations between creative worker concentrations and social diversity in Shenzhen, China," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 85-99, January.
    21. Da Gao & Yanjun Cao & Chang Liu, 2023. "The Low-Carbon Policy and Urban Green Total Factor Energy Efficiency: Evidence from a Spatial Difference-in-Difference Method," IJERPH, MDPI, vol. 20(4), pages 1-20, February.
    22. Hanxiao Wei & Huiqin Yao, 2022. "Environmental Regulation, Roundabout Production, and Industrial Structure Transformation and Upgrading: Evidence from China," Sustainability, MDPI, vol. 14(7), pages 1-17, March.
    23. Fang, Yan & Liu, Yinglin & Yang, Yi & Lucey, Brian & Abedin, Mohammad Zoynul, 2025. "How do Chinese urban investment bonds affect its economic resilience? Evidence from double machine learning," Research in International Business and Finance, Elsevier, vol. 74(C).
    24. Zhaohui Chong & Chenglin Qin & Xinyue Ye, 2017. "Environmental Regulation and Industrial Structure Change in China: Integrating Spatial and Social Network Analysis," Sustainability, MDPI, vol. 9(8), pages 1-16, August.
    25. Wei Wang & Hualin Xie & Fucai Lu & Xinmin Zhang, 2017. "Measuring the Performance of Industrial Green Development Using a Non-Radial Directional Distance Function Approach: A Case Study of Jiangxi Province in China," Sustainability, MDPI, vol. 9(10), pages 1-17, September.

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 5 papers 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-ECM: Econometrics (3) 2023-12-18 2024-05-20 2025-09-22. Author is listed
2. NEP-EFF: Efficiency and Productivity (2) 2023-12-18 2023-12-18. Author is listed
3. NEP-BAN: Banking (1) 2023-12-18
4. NEP-CNA: China (1) 2024-10-28
5. NEP-ENE: Energy Economics (1) 2023-12-18
6. NEP-URE: Urban and Real Estate Economics (1) 2024-10-28

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