![]() ![]() Production scale-based two-stage network data envelopment analysis. Technological and Economic Development of Economy, 23(4), 589–607. ![]() Environmental DEA method for assessing productivity of European countries. Research on meta-frontier total-factor energy efficiency and its spatial convergence in Chinese provinces. Resources, Conservation & Recycling, 167, 105239. Regional differences in the industrial water use efficiency of China: The spatial spillover effect and relevant factors. Study on the mechanism of sustainable development of forest carbon sink supply in western China. Journal of Cleaner Production, 164, 38–44. Evaluation of China’s electric energy efficiency under environmental constraints: A DEA cross efficiency model based on game relationship. European Journal of Operational Research, 260(2), 655–664. Semi-disposability of undesirable outputs in data envelopment analysis for environmental assessments. Computers & Industrial Engineering, 119, 388–403. A two-stage network data envelopment analysis approach for measuring and decomposing environmental efficiency. European Journal of Operational Research, 280, 219–229. Meta-frontier analysis using cross-efficiency method for performance evaluation. Renewable and Sustainable Energy Reviews, 55, 990–998. Energy efficiency analysis of the economic system in China during 1986–2012: A parallel slacks-based measure approach. Estimation of potential energy saving and carbon dioxide emission reduction in China based on an extended non-radial DEA approach. Journal of Cleaner Production, 171, 867–876. A performance evaluation of China’s coal-fired power generation with pollutant mitigation options. Annals of Operations Research, 228(1), 65–80. Environmental performance analysis of Chinese industry from a slacks-based perspective. Science of The Total Environment, 692, 136–146. Environmental productivity in the European Union: A global Luenberger-metafrontier approach. īeltrán-Esteve, M., Giménez, V., & Picazo-Tadeo, A. Journal of Environmental Management, 196, 148–160. ![]() Testing the consistency and feasibility of the standard Malmquist-Luenberger index: Environmental productivity in world air emissions. Īparicio, J., Barbero, J., Kapelko, M., Pastor, J. Computers and Electronics in Agriculture, 161, 151–161. A multi-objective DEA model to assess the Eco-efficiency of agricultural practices within the CF + DEA method. Īngulo-Meza, L., González-Araya, M., Iriarte, A., Rebolledo-Leiva, R., & Mello, J. Environmental efficiency evaluation for Xiangjiang River basin cities based on an improved SBM model and Global Malmquist index. Keyword : environmental performance, economic system, efficiency, productivity, parallel network structure, data envelopment analysis (DEA)Īn, Q. Finally, several targeted policy implications are suggested for improving the environmental performance of China’s economic system. Most of the external factors such as energy structure and technology innovation, have different effects on the environmental performance of different regions. Technological progress is the main driver of environmental productivity improvement for China’s economic system. Moreover, the environmental efficiency of eastern region is far higher than that of the central or western regions. The results show that environmental efficiency of Chinese economy is only 0.4436 during 2010–2019 and the performance of the secondary industry is the highest, followed by the tertiary and the primary industries. Then, the Tobit model is adopted to investigate the effects of external factors on the environmental performance. Taking the three industries (the primary, secondary and tertiary industries) into account, this paper proposes a data envelopment analysis (DEA) model with parallel network structure to assess the environmental performance of 30 provinces in China from integrative perspective of efficiency and productivity. Increasing attention has been paid to the environmental performance evaluation of different administrative levels or economic sectors, but integrated research is scarce. The high-quality development of regional economic system is inseparable from the collective efforts of multiple economic sectors. ![]()
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