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, Chinahttp://jjxy.zuel.edu.cn/
RePEc:edi:seznucn (more details at EDIRC)
Research output
Jump to: Working papers ArticlesWorking papers
- Zhiqiang Liao & Sheng Dai & Eunji Lim & Timo Kuosmanen, 2024. "Overfitting Reduction in Convex Regression," Papers 2404.09528, arXiv.org, revised Oct 2024.
- Sheng Dai & Timo Kuosmanen & Zhiqiang Liao, 2024. "Economic growth of cities: Does resource allocation matter?," Papers 2410.04918, arXiv.org.
- Timo Kuosmanen & Sheng Dai, 2023. "Modeling economies of scope in joint production: Convex regression of input distance function," Papers 2311.11637, arXiv.org.
- Sheng Dai & Natalia Kuosmanen & Timo Kuosmanen & Juuso Liesio, 2023. "Optimal resource allocation: Convex quantile regression approach," Papers 2311.06590, arXiv.org.
Articles
- 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.
- 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.
- 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).
- Liao, Zhiqiang & Dai, Sheng & Kuosmanen, Timo, 2024. "Convex support vector regression," European Journal of Operational Research, Elsevier, vol. 313(3), pages 858-870.
- Dai, Sheng & Kuosmanen, Timo & Zhou, Xun, 2023. "Non-crossing convex quantile regression," Economics Letters, Elsevier, vol. 233(C).
- 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.
- 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.
- 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.
- 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).
- Dai, Sheng & Zhou, Xun & Kuosmanen, Timo, 2020. "Forward-looking assessment of the GHG abatement cost: Application to China," Energy Economics, Elsevier, vol. 88(C).
- Kuosmanen, Timo & Zhou, Xun & Dai, Sheng, 2020. "How much climate policy has cost for OECD countries?," World Development, Elsevier, vol. 125(C).
- Cheng, Jinhua & Dai, Sheng & Ye, Xinyue, 2016. "Spatiotemporal heterogeneity of industrial pollution in China," China Economic Review, Elsevier, vol. 40(C), pages 179-191.
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
- 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:
- 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).
- 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.
- 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).
- 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).
- 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).
- 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).
- 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).
- 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).
- 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.
- 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:
- 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.
- 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.
- 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.
- 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.
- Dai, Sheng & Kuosmanen, Timo & Zhou, Xun, 2023.
"Non-crossing convex quantile regression,"
Economics Letters, Elsevier, vol. 233(C).
Cited by:
- Timo Kuosmanen & Sheng Dai, 2023. "Modeling economies of scope in joint production: Convex regression of input distance function," Papers 2311.11637, arXiv.org.
- 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.
- 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:
- 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.
- 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:
- 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.
- Zhiqiang Liao & Sheng Dai & Eunji Lim & Timo Kuosmanen, 2024. "Overfitting Reduction in Convex Regression," Papers 2404.09528, arXiv.org, revised Oct 2024.
- Dai, Sheng & Kuosmanen, Timo & Zhou, Xun, 2023. "Non-crossing convex quantile regression," Economics Letters, Elsevier, vol. 233(C).
- 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.
- 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.
- Liao, Zhiqiang & Dai, Sheng & Kuosmanen, Timo, 2024. "Convex support vector regression," European Journal of Operational Research, Elsevier, vol. 313(3), pages 858-870.
- 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:
- Sheng Dai & Natalia Kuosmanen & Timo Kuosmanen & Juuso Liesio, 2023. "Optimal resource allocation: Convex quantile regression approach," Papers 2311.06590, arXiv.org.
- Dai, Sheng & Kuosmanen, Timo & Zhou, Xun, 2023. "Non-crossing convex quantile regression," Economics Letters, Elsevier, vol. 233(C).
- 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.
- 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:
- Fikru, Mahelet G. & Awuah-Offei, Kwame, 2022. "An economic framework for producing critical minerals as joint products," Resources Policy, Elsevier, vol. 77(C).
- 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.
- 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:
- 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.
- 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.
- 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).
- Sheng Dai & Natalia Kuosmanen & Timo Kuosmanen & Juuso Liesio, 2023. "Optimal resource allocation: Convex quantile regression approach," Papers 2311.06590, arXiv.org.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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).
- 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).
- Kuosmanen, Timo & Zhou, Xun & Dai, Sheng, 2020.
"How much climate policy has cost for OECD countries?,"
World Development, Elsevier, vol. 125(C).
Cited by:
- 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.
- 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.
- 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).
- Sheng Dai & Natalia Kuosmanen & Timo Kuosmanen & Juuso Liesio, 2023. "Optimal resource allocation: Convex quantile regression approach," Papers 2311.06590, arXiv.org.
- Dai, Sheng & Zhou, Xun & Kuosmanen, Timo, 2020. "Forward-looking assessment of the GHG abatement cost: Application to China," Energy Economics, Elsevier, vol. 88(C).
- 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).
- 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.
- 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.
- 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.
- 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).
- 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.
- 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.
- Liao, Zhiqiang & Dai, Sheng & Kuosmanen, Timo, 2024. "Convex support vector regression," European Journal of Operational Research, Elsevier, vol. 313(3), pages 858-870.
- 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).
- 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).
- 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:
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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).
- 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).
- 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.
- 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.
- 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.
- 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).
- 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.
- 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.
- 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.
- 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.
- 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.
- 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 4 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.- NEP-ECM: Econometrics (2) 2023-12-18 2024-05-20. Author is listed
- NEP-EFF: Efficiency and Productivity (2) 2023-12-18 2023-12-18. Author is listed
- NEP-BAN: Banking (1) 2023-12-18. Author is listed
- NEP-CNA: China (1) 2024-10-28. Author is listed
- NEP-ENE: Energy Economics (1) 2023-12-18. Author is listed
- NEP-URE: Urban and Real Estate Economics (1) 2024-10-28. Author is listed
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