Industrial energy conservation and emission reduction performance in China: A city-level nonparametric analysis

Applied Energy

Volumn 166, Issue , 2016, Pages 201-209

  Zhou, D Q ^a   Wang, Qunwei ^b   Su, B ^c   Zhou, P ^a   Yao, L X ^c  

^a NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

^b SOOCHOW UNIVERSITY   (China)

^c NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Emission reduction; Energy conservation; Malmquist index; Non radial directional distance function

Indexed keywords

DATA ENVELOPMENT ANALYSIS; EMISSION CONTROL; ENERGY CONSERVATION; ENERGY UTILIZATION;

DIRECTIONAL DISTANCE FUNCTION; EMISSION REDUCTION; ENERGY CONSERVATION AND EMISSION REDUCTIONS; INDUSTRIAL ENERGY CONSERVATION; INDUSTRIAL PERFORMANCE; MALMQUIST INDICES; NON-PARAMETRIC ANALYSIS; TECHNOLOGICAL PROGRESS;

INDUSTRIAL EMISSIONS;

BENCHMARKING; ECOLOGICAL ECONOMICS; EMISSION CONTROL; EMPIRICAL ANALYSIS; ENERGY CONSERVATION; ENERGY PLANNING; ENVIRONMENTAL PLANNING; INDUSTRIAL PERFORMANCE; TRADE-ENVIRONMENT RELATIONS;

CHINA;

EID: 84947447585     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2015.09.081     Document Type: Article

References (58)

1. National Bureau of Statistics of China (NBSC) China statistical year book 2013, China Statistics Press, Beijing.
2. Chen S.Y. Energy-save and emission-abate activity with its impact on industrial win-win development in China: 2009-2049. Econ Res J 2010, 3:129-143. [in Chinese].
3. Worrell E., Price L., Martin N. Energy efficiency and carbon dioxide emissions reduction opportunities in the US iron and steel sector. Energy 2001, 26:513-536.
4. Hu J.L., Wang S.C. Total-factor energy efficiency of regions in China. Energy Policy 2006, 34:3206-3217.
5. Wei Y.M., Liao H., Fan Y. An empirical analysis of energy efficiency in China's iron and steel sector. Energy 2007, 32:2262-2270.
6. Ma C., Stern D.I. China's changing energy intensity trend: a decomposition analysis. Energy Econ 2008, 30:1037-1053.
7. Wang H., Zhou P., Zhou D.Q. Scenario-based energy efficiency and productivity in China: a non-radial directional distance function analysis. Energy Econ 2013, 40:795-803.
8. Wang K., Wei Y.M., Zhang X. Energy and emissions efficiency patterns of Chinese regions: a multi-directional efficiency analysis. Appl Energy 2013, 104:105-116.
9. Wang K., Wei Y.M. China's regional industrial energy efficiency and carbon emissions abatement costs. Appl Energy 2014, 130:617-631.
10. 2emissions in Canada: where's the EKC?. Ecol Econ 2006, 57:229-238.
11. Kaza N. Understanding the spectrum of residential energy consumption: a quantile regression approach. Energy Policy 2010, 38:6574-6585.
12. Kumar S., Khanna M. Measurement of environmental efficiency and productivity: a cross-country analysis. Environ Dev Econ 2009, 14:473-495.
13. Wang Q., Zhao Z., Zhou P., et al. Energy efficiency and production technology heterogeneity in China: a meta-frontier DEA approach. Econ Model 2013, 35:283-289.
14. Honma S., Hu J.L. Industry-level total-factor energy efficiency in developed countries: a Japan-centered analysis. Appl Energy 2014, 119:67-78.
15. 2 emissions in China: a perspective of efficiency analysis. Energy Econ 2014, 45:99-110.
16. Zhang N., Zhou P., Kung C.C. Total-factor carbon emission performance of the Chinese transportation industry: a bootstrapped non-radial Malmquist index analysis. Renew Sustain Energy Rev 2015, 41:584-593.
17. Ang B.W. Monitoring changes in economy-wide energy efficiency: from energy-GDP ratio to composite efficiency index. Energy Policy 2006, 34:574-582.
18. Ang B.W., Liu F.L. A new energy decomposition method: perfect in decomposition and consistent in aggregation. Energy 2001, 26:537-548.
19. 2 emission over 1991-2006 in China. Ecol Econ 2009, 68:2122-2128.
20. Achão C., Schaeffer R. Decomposition analysis of the variations in residential electricity consumption in Brazil for the 1980-2007 period: measuring the activity, intensity and structure effects. Energy Policy 2009, 37:5208-5220.
21. Su B., Ang B.W. Structural decomposition analysis applied to energy and emissions: some methodological developments. Energy Econ 2012, 34:177-188.
22. 2 emissions: across-country comparison. Int J Global Energy Issues 2002, 17:214-227.
23. Mukherjee K. Measuring energy efficiency in the context of an emerging economy: the case of Indian manufacturing. Eur J Oper Res 2010, 201:933-941.
24. He F., Zhang Q., Lei J., et al. Energy efficiency and productivity change of China's iron and steel industry: accounting for undesirable outputs. Energy Policy 2013, 54:204-213.
25. Wang Z.H., Zeng H.L., Wei Y.M., et al. Regional total factor energy efficiency: an empirical analysis of industrial sector in China. Appl Energy 2012, 97:115-123.
26. Zhou P., Ang B.W., Zhou D.Q. Measuring economy-wide energy efficiency performance: a parametric frontier approach. Appl Energy 2012, 90:196-200.
27. Lin B., Du K. Technology gap and China's regional energy efficiency: a parametric metafrontier approach. Energy Econ 2013, 40:529-536.
28. Bosetti V., Carraro C., Galeotti M. The dynamics of carbon and energy intensity in a model of endogenous technical change. Energy J 2005, 27:191-205.
29. Fan Y., Liu L.C., Wu G., et al. Changes in carbon intensity in China: empirical findings from 1980-2003. Ecol Econ 2007, 62:683-691.
30. Xu S.C., He Z.X., Long R.Y. Factors that influence carbon emissions due to energy consumption in China: decomposition analysis using LMDI. Appl Energy 2014, 127:182-193.
31. Wang K., Yu S., Zhang W. China's regional energy and environmental efficiency: a DEA window analysis based dynamic evaluation. Math Comput Model 2013, 58:1117-1127.
32. 2 emission performance in electricity generation: a non-radial directional distance function approach. Eur J Oper Res 2012, 221:625-635.
33. 2emission performance and technology gaps in fossil fuel electricity generation in Korea: a meta-frontier non-radial directional distance function analysis. Energy Policy 2013, 56:653-662.
34. Zhang N., Choi Y. Total-factor carbon emission performance of fossil fuel power plants in China: a metafrontier non-radial Malmquist index analysis. Energy Econ 2013, 40:549-559.
35. Zhang N., Wei X. Dynamic total factor carbon emissions performance changes in the Chinese transportation industry. Appl Energy 2015, 146:409-420.
36. Hailu A., Veeman T.S. Non-parametric productivity analysis with undesirable outputs: an application to the Canadian pulp and paper industry. Am J Agric Econ 2001, 83:605-616.
37. Hua Z., Bian Y., Liang L. Eco-efficiency analysis of paper mills along the Huai River: an extended DEA approach. Omega 2007, 35:578-587.
38. Chung Y.H., Färe R., Grosskopf S. Productivity and undesirable outputs: a directional distance function approach. J Environ Manage 1997, 51:229-240.
39. Färe R., Grosskopf S., Pasurka C.A. Environmental production functions and environmental directional distance functions. Energy 2007, 32:1055-1066.
40. 2 emission reduction in China: a nonparametric metafrontier approach. Appl Energy 2014, 115:491-501.
41. Sueyoshi T., Goto M. DEA radial measurement for environmental assessment and planning: desirable procedures to evaluate fossil fuel power plants. Energy Policy 2012, 41:422-432.
42. Falavigna G., Manello A., Pavone S. Environmental efficiency, productivity and public funds: the case of the Italian agricultural industry. Agric Syst 2013, 121:73-80.
43. Camarero M., Picazo-Tadeo A.J., Tamarit C. Is the environmental performance of industrialized countries converging? A 'SURE' approach to testing for convergence. Ecol Econ 2008, 66:653-661.
44. Wang K., Lu B., Wei Y.M. China's regional energy and environmental efficiency: a range-adjusted measure based analysis. Appl Energy 2013, 112:1403-1415.
45. Bian Y., Yang F. Resource and environment efficiency analysis of provinces in China: a DEA approach based on Shannon's entropy. Energy Policy 2010, 38:1909-1917.
46. Yang F., Yang M., Nie H. Productivity trends of Chinese regions: a perspective from energy saving and environmental regulations. Appl Energy 2013, 110:82-89.
47. Wang Q., Su B., Sun J., et al. Measurement and decomposition of energy-saving and emissions reduction performance in Chinese cities. Appl Energy 2015, 151:85-92.
48. 2 emissions in China: a nonparametric analysis. Energy Policy 2012, 49:164-172.
49. Oh D. A metafrontier approach for measuring an environmentally sensitive productivity growth index. Energy Econ 2010, 32:146-157.
50. Färe R., Grosskopf S. Directional distance functions and slacks-based measures of efficiency. Eur J Oper Res 2010, 200:320-322.
51. Wang Q., Chiu Y.H., Chiu C.R. Driving factors behind carbon dioxide emissions in China: a modified production-theoretical decomposition analysis. Energy Econ 2015, 10.1016/j.eneco.2015.07.009.
52. Caves D.W., Christensen L.R., Diewert W.E. The economic theory of index numbers and the measurement of input, output, and productivity. Econom: J Econom Soc 1982, 1393-1414.
53. Yuan P., Cheng S., Sun J., et al. Measuring the environmental efficiency of the Chinese industrial sector: a directional distance function approach. Math Comput Model 2013, 58:936-947.
54. Salahuddin M., Gow J., Ozturk I. Is the long-run relationship between economic growth, electricity consumption, carbon dioxide emissions and financial development in Gulf Cooperation Council Countries robust?. Renew Sustain Energy Rev 2015, 51:317-326.
55. Liu P., Song S. Financial assets, capital, and factor endowment structure. Reform 2002, 2:82-88. [in Chinese].
56. Lin B., Zhang L., Wu Y. Evaluation of electricity saving potential in China's chemical industry based on cointegration. Energy Policy 2012, 44:320-330.
57. Barro R.J., Sala-i-Martin X. Convergence. J Pol Econ 1992, 223-251.
58. Mohammadi H., Ram R. Cross-country convergence in energy and electricity consumption, 1971-2007. Energy Econ 2012, 34:1882-1887.