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Environmentally sensitive productivity growth and its decompositions in China: a metafrontier Malmquist–Luenberger productivity index approach

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  1. Chao Wang & Yue‐Jun Zhang, 2020. "Does environmental regulation policy help improve green production performance? Evidence from China's industry," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(2), pages 937-951, March.
  2. Stefan Mihai Petrea & Cristina Zamfir & Ira Adeline Simionov & Alina Mogodan & Florian Marcel Nuţă & Adrian Turek Rahoveanu & Dumitru Nancu & Dragos Sebastian Cristea & Florin Marian Buhociu, 2021. "A Forecasting and Prediction Methodology for Improving the Blue Economy Resilience to Climate Change in the Romanian Lower Danube Euroregion," Sustainability, MDPI, vol. 13(21), pages 1-36, October.
  3. Mocholi-Arce, Manuel & Sala-Garrido, Ramon & Molinos-Senante, Maria & Maziotis, Alexandros, 2021. "Performance assessment of water companies: A metafrontier approach accounting for quality of service and group heterogeneities," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
  4. Yu, Yanni & Wu, Wenjie & Zhang, Tao & Liu, Yanchu, 2016. "Environmental catching-up, eco-innovation, and technological leadership in China's pilot ecological civilization zones," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 228-236.
  5. Yi-feng Zhang & Min-xuan Ji & Xiu-zhi Zheng, 2023. "Digital Economy, Agricultural Technology Innovation, and Agricultural Green Total Factor Productivity," SAGE Open, , vol. 13(3), pages 21582440231, August.
  6. 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.
  7. Chuanxin Xia & Yu Zhao & Qingxia Zhao & Shuo Wang & Ning Zhang, 2022. "Exact Eco-Efficiency Measurement in the Yellow River Basin: A New Non-Parametric Approach," Sustainability, MDPI, vol. 14(20), pages 1-18, October.
  8. 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.
  9. Lei, Xiao & Chen, Xueli & Zhang, Bin, 2024. "Unleashing the spillover potential: Exploring the role of technology-seeking investment in driving green innovation of host countries," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
  10. Stergiou, Eirini & Rigas, Nikos & Kounetas, Konstantinos E., 2023. "Environmental productivity growth across European industries," Energy Economics, Elsevier, vol. 123(C).
  11. Jin Guo & Hanqiao Yang, 2022. "CDMs’ effect on environmentally sensitive productivity: evidence from Chinese provinces," Letters in Spatial and Resource Sciences, Springer, vol. 15(3), pages 401-422, December.
  12. Stergiou, Eirini & Rigas, Nikos & Kounetas, Konstantinos, 2021. "Environmental Productivity and Convergence of European Manufacturing Industries. Are they Under Pressure?," MPRA Paper 110780, University Library of Munich, Germany.
  13. Kounetas, Kostas & Napolitano, Oreste, 2018. "Modeling the incidence of international trade on Italian regional productive efficiency using a meta-frontier DEA approach," Economic Modelling, Elsevier, vol. 71(C), pages 45-58.
  14. Yaqiong Wang & Guanghui Yuan & Ying Yan & Xueliang Zhang, 2020. "Evaluation of Sustainable Urban Development under Environmental Constraints: A Case Study of Jiangsu Province, China," Sustainability, MDPI, vol. 12(3), pages 1-17, February.
  15. Pu, Zhengning & Fu, Jiasha & Zhang, Chi & Shao, Jun, 2018. "Structure decomposition analysis of embodied carbon from transition economies," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 1-12.
  16. Zhang, Ning & Wu, Tao & Wang, Bing & Dong, Liang & Ren, Jingzheng, 2016. "Sustainable water resource and endogenous economic growth," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 237-244.
  17. 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.
  18. Hyoung Seok Lee & Yongrok Choi, 2019. "Environmental Performance Evaluation of the Korean Manufacturing Industry Based on Sequential DEA," Sustainability, MDPI, vol. 11(3), pages 1-14, February.
  19. Arbona, Alexei & Giménez, Víctor & López-Estrada, Sebastián & Prior, Diego, 2022. "Efficiency and quality in Colombian education: An application of the metafrontier Malmquist-Luenberger productivity index," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
  20. 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).
  21. Romano, Giulia & Molinos-Senante, María & Carosi, Laura & Llanquileo-Melgarejo, Paula & Sala-Garrido, Ramón & Mocholi-Arce, Manuel, 2021. "Assessing the dynamic eco-efficiency of Italian municipalities by accounting for the ownership of the entrusted waste utilities," Utilities Policy, Elsevier, vol. 73(C).
  22. 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.
  23. Wu, Tao & Zhang, Ning & Gui, Lin & Wu, Wenjie, 2018. "Sustainable endogenous growth model of multiple regions: Reconciling OR and economic perspectives," European Journal of Operational Research, Elsevier, vol. 269(1), pages 218-226.
  24. Pooja Bansal & Aparna Mehra & Sunil Kumar, 2022. "Dynamic Metafrontier Malmquist–Luenberger Productivity Index in Network DEA: An Application to Banking Data," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 297-324, January.
  25. Chenlu Tao & Jinzhu Zhang & Baodong Cheng & Yu Liu, 2019. "An Assessment of the Impact of Spatial Agglomeration on the Quality of China’s Wood Processing Industry Products," Sustainability, MDPI, vol. 11(14), pages 1-17, July.
  26. Yuanying Chi & Yangmei Xu & Xu Wang & Feng Jin & Jialin Li, 2021. "A Win–Win Scenario for Agricultural Green Development and Farmers’ Agricultural Income: An Empirical Analysis Based on the EKC Hypothesis," Sustainability, MDPI, vol. 13(15), pages 1-21, July.
  27. 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.
  28. Zhao, Ting & Yang, Zhenshan, 2017. "Towards green growth and management: Relative efficiency and gaps of Chinese cities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 481-494.
  29. Liu, Wei & Zhan, Jinyan & Zhao, Fen & Wang, Pei & Li, Zhihui & Teng, Yanmin, 2018. "Changing trends and influencing factors of energy productivity growth: A case study in the Pearl River Delta Metropolitan Region," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 1-9.
  30. Liu, Xiaohong & Yang, Jiangjiang & Xu, Chengzhen & Li, Xingchen & Zhu, Qingyuan, 2023. "Environmental regulation efficiency analysis by considering regional heterogeneity," Resources Policy, Elsevier, vol. 83(C).
  31. Peng Li & Yaofu Ouyang, 2020. "Technical Change and Green Productivity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(2), pages 271-298, July.
  32. Yu, Yantuan & Huang, Jianhuan & Zhang, Ning, 2019. "Modeling the eco-efficiency of Chinese prefecture-level cities with regional heterogeneities: A comparative perspective," Ecological Modelling, Elsevier, vol. 402(C), pages 1-17.
  33. Feng, Chao & Wang, Miao & Liu, Guan-Chun & Huang, Jian-Bai, 2017. "Sources of economic growth in China from 2000–2013 and its further sustainable growth path: A three-hierarchy meta-frontier data envelopment analysis," Economic Modelling, Elsevier, vol. 64(C), pages 334-348.
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