基于非径向BML-DEA模型的中国地区工业环境绩效测度

Tang, Liwei and Hu, Zongyi and Zhang, Yongjun (2014): 基于非径向BML-DEA模型的中国地区工业环境绩效测度.

Abstract

Combining the characteristics of BM direction distance function, non- radial DEA model and Luenberger productivity indicators, we develop a non-radial BML-DEA model to measure Environmental Performance. And by using the panel data of 30 provinces from 1997 to 2011 in China, we measure and analysis the regional industrial eco-efficiency. The results show that the overall growth of industrial Environmental Performance of the region comes mainly from technological progress rather than efficiency improvements, the highest average annual growth rate of areas are Beijing, Shanghai, Jiangsu and Guangdong. The effect from three pollutants on industrial Environmental Performance by descending is SO2, CO2 and Smoker, and the contribution of the three pollutants deal more balanced. There are significant differences among industrial Environmental Performance and its decomposition ingredients in different regions. The growth rate of industrial Environmental Performance in east is significantly higher than other regions, but the growth rate of efficiency is not superior to the center and west, and even slightly lower than the center. Therefore, regions need to enhance the efficiency in using the resources.

• Item Type: MPRA Paper
• English Title: The measurement of regional industrial Environmental Performance——based on non-radial BML-DEA model
• Language: Chinese
• Keywords: Environmental Performance; infeasible solution; slacks; non- radial BML-DEA model
• Subjects: C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C61 - Optimization Techniques ; Programming Models ; Dynamic Analysis; O - Economic Development, Innovation, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity > O44 - Environment and Growth; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q0 - General > Q01 - Sustainable Development; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics

References

1. Olsthoorn, X., Tyteca, D., Wehrmeyer, W., Wagner, M.Environmental indicators for business: a review of the literature and standardization methods[J]. Journal of Cleaner Production,2001 ,9(5), 453–463.

2. Ebert, U., Welsch, H. Meaningful environmental indices: a social choice approach[J].Journal of Environmental Economics and Management, 2004,47(2), 270–283.

3. Zhou, P., Ang, B.W., Poh, K.L. Comparing aggregating methods for constructing the composite environmental index:an objective measure[J]. Ecological Economics, 2006,59(3), 305–311. 4. Kuosmanen, T., Kortelainen, M.. Measuring eco-efficiency of production with Data Envelopment Analysis [J].Journal of Industrial Ecology, 2005,9(4), 59-72.

5. Hua, Z., Bian, Y., and Liang, L. Eco-efficiency analysis of paper mills along the Huai River: An extended DEA approach[J]. Omega, 2007, 35(5), 578–587.

6. Barba-Gutiérrez, Y., and Adenso-Díaz, B., and Lozano, S. Eco-efficiency of electric and electronic appliances: A data envelopment analysis (DEA) [J]. Environ. Model. Assess, 2009,14(4), 439–447.

7. Camarero, M., Giménez, J. C., Picazo-Tadeo, A. J., & Tamarit, C.. Is the eco-efficiency in greenhouse gas emissions converging among European Union countries?. [R] No. 1309. 2013.

8. 刘一.环境绩效视角下区域可持续发展的路径选择[J].改革,2008,(01): 97-102.

9. 黄和平,伍世安等.基于环境绩效的资源环境绩效动态测算——以江西省为例[J].资源科学,2010,(05): 924-931.

10. 邓波,张学军,郭军华.基于三阶段DEA模型的区域环境绩效研究[J].中国软科学,2011(01): 92-99.

11. 高峰,王金德,郭政.中国区域工业环境绩效评价及DEA分析[J].中国人口.资源与环境,2011,(S1): 318-321.

12. 张旭峰.中国区域环境绩效时空变化研究[J].山西财经大学学报,2012,(S3): 58.

13. Kortelainen, M. Dynamic environmental performance analysis: A Malmquist index approach[J]. Ecological Economics, 2008, 64(4), 701-715.

14. 杨文举.中国地区工业的动态环境绩效:基于DEA的经验分析[J].数量经济技术经济研究,2009,(06): 87-98+114.

15. 彭昱.中国电力产业动态环境绩效评价[J].经济社会体制比较,2011,(05): 185-191.

16. Picazo-Tadeo, A. J., M. Beltran-Esteve, et al. Assessing eco-efficiency with directional distance functions [J].European Journal of Operational Research, 2012, 220(3): 798-809.

17. Picazo-Tadeo, A.J., Castillo, J., Beltrán-Esteve, M.A dynamic approach to measuring ecological-economic performance with directional distance functions: greenhouse gas emissions in the European Union. Working Paper WPAE-1304. Universidad de Valencia. Departamento de Estructura Económica,2013.

18. Cooper, William W., Lawrence M. Seiford, Kaoru Tone.Data Envelopment Analysis(Second Edition)[M].Springer Science and Business Media,LLC,2007.

19. Pastor, J. T. & Lovell, C. K.A global Malmquist productivity index. [J],Economics Letters , 2005, 88, 266 - 271

20. Oh, D.-h.A global Malmquist-Luenberger productivity index[J].Journal of Productivity Analysis, , 2010, 34, 183-197 21. Fukuyama, H., Weber, W.L. A slacks-based inefficiency measure for a two-stage system with bad outputs [J].Omega, 2010,38(5), 239–410.

22. Lee H S, Chu C W, Zhu J. Super-efficiency DEA in the presence of infeasibility[J]. European Journal of Operational Research, 2011, 212(1): 141-147.

23. Pastor J T, Asmild M, Lovell C A. The biennial Malmquist productivity change index[J]. Socio-Economic Planning Sciences, 2011, 45(1): 10-15.

24. Chang, T. P., Hu, J. L., Chou, R. Y., & Sun, L. (2012). The sources of bank productivity growth in China during 2002–2009: A disaggregation view. Journal of Banking & Finance, 36(7), 1997-2006.

25. 李小平,卢现祥.国际贸易、污染产业转移和中国工业CO2排放.[J]经济研究,2010(1):15-26.

26. 李涛.资源约束下中国碳减排与经济增长的双赢绩效研究——基于非径向DEA方法RAM模型的测度[J].经济学（季刊）,2013,12(2):667-692.

27. 刘瑞翔,安同良.资源环境约束下中国经济增长绩效变化趋势与因素分析——基于一种新型生产率指数构建于分解方法的研究[J]经济研究,2012(11):34-47.

28. 胡宗义,刘亦文,唐李伟. 低碳经济背景下碳排放的库兹涅茨曲线研究[J]. 统计研究,2013,02:73-79.

29. 孟彦菊,成蓉华,黑韶敏. 碳排放的结构影响与效应分解[J]. 统计研究,2013,04:76-83.