Carbon emissions dynamics, efficiency gains, and technological innovation in China's industrial sectors

Energy

Volumn 99, Issue , 2016, Pages 10-19

  Zhang, Ning ^a   Wang, Bing ^a   Liu, Zhu ^b,c  

^a JINAN UNIVERSITY   (China)

^b HARVARD UNIVERSITY   (United States)

^c CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Carbon emissions performance; Chinese industrial sectors; Global Malmquist Luenberger index; Non radial directional distance function

Indexed keywords

EFFICIENCY; PUBLIC POLICY;

CALCULATION PROCESS; CARBON EMISSIONS; DIRECTIONAL DISTANCE FUNCTION; INDUSTRIAL SECTOR; MALMQUIST-LUENBERGER INDICES; POLICY IMPLICATIONS; TECHNOLOGICAL CHANGE; TECHNOLOGICAL INNOVATION;

INDUSTRIAL EMISSIONS;

CARBON EMISSION; EFFICIENCY MEASUREMENT; EMISSION CONTROL; EMISSION INVENTORY; INDEX METHOD; INDUSTRIAL EMISSION; INNOVATION; PERFORMANCE ASSESSMENT; POLICY IMPLEMENTATION; POLLUTION POLICY; SPATIOTEMPORAL ANALYSIS;

CHINA;

EID: 84962447636     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2016.01.012     Document Type: Article

References (37)

1. IPCC Fifth assessment report (AR5) climate change 2014: mitigation of climate change 2014, Intergovernmental Panel on Climate Change.
2. Ang B.W. Is the energy intensity a less useful indicator than the carbon factor in the study of climate change?. Energy Policy 1999, 27:943-946.
3. 2 emission intensity is decarbonization at national and global levels. Energy Policy 2005, 33:975-978.
4. Tol R.S.J., Pacala S.W., Socolow R.H. Understanding long-term energy use and carbon emissions in the USA. J Policy Model 2009, 31:425-445.
5. Maruyama N., Eckelman M.J. Long-term trends of electric efficiencies in electric generation in developing countries. Energy Policy 2009, 37:1678-1686.
6. Ang B.W., Zhou P., Tay L.P. Potential for reducing global carbon emissions from electric production - a benchmarking analysis. Energy Policy 2011, 39:2482-2489.
7. Hu J.L., Wang S.C. Total-factor energy efficiency of regions in China. Energy Policy 2006, 34:3206-3217.
8. 2 emissions in China: a slacks-based efficiency measure. Appl Energy 2012, 98:198-208.
9. Zhang N., Choi Y. Environmental energy efficiency of China's regional economies: a non-oriented slacks-based measure analysis. Soc Sci J 2013, 50:225-234.
10. Wang Q., Zhou P., Zhou D. Efficiency measurement with carbon dioxide emissions: the case of China. Appl Energy 2012, 90:161-166.
11. 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.
12. Li K., Lin B. The improvement gap in energy intensity: analysis of China's thirty provincial regions using the improved DEA (data envelopment analysis) model. Energy 2015, 84:589-599.
13. Wang H.A. generalized MCDA-DEA (multi-criterion decision analysis-data envelopment analysis) approach to construct slacks-based composite indicator. Energy 2015, 80:114-122.
14. Zhao X., Yang R., Ma Q. China's total factor energy efficiency of provincial industrial sectors. Energy 2014, 6:52-61.
15. Wang Z., Feng C., Zhang B. An empirical analysis of China's energy efficiency from both static and dynamic perspectives. Energy 2014, 74:322-330.
16. 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.
17. Lin B., Du K. Energy and CO2 emissions performance in China's regional economies: do market-oriented reforms matter?. Energy Policy 2015, 78:113-124.
18. Yao X., Zhou H., Zhang A., Li A. Regional energy efficiency, carbon emission performance and technology gaps in China: a meta-frontier non-radial directional distance function analysis. Energy Policy 2015, 2015(84):142-154.
19. 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.
20. He F., Zhang Q., Lei J., Fu W., Xu X. Energy efficiency and productivity change of China's iron and steel industry: accounting for undesirable outputs. Energy Policy 2013, 54:204-213.
21. 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.
22. Zhang N., Choi Y. A comparative study of dynamic changes in CO2 emission performance of fossil fuel power plants in China and Korea. Energy Policy 2013, 62:324-332.
23. Chung Y., Färe R., Grosskopf S. Productivity and undesirable outputs: a directional distance function approach. J Environ Manag 1997, 51:229-240.
24. Weber M., Domazlicky B. Productivity growth and pollution in state manufacturing. Rev Econ Stat 2001, 83:195-199.
25. Färe R., Grosskopf S., Pasurka C.A. Accounting for air pollution emissions in measures of state manufacturing productivity growth. J Reg Sci 2001, 41:381-409.
26. Yörük B.K., Zaim O. Productivity growth in OECD countries: a comparison with Malmquist indices. J Compar Econ 2005, 33:401-420.
27. Kumar S. Environmentally sensitive productivity growth: a global analysis using Malmquist-Luenberger index. Ecol Econ 2006, 56:280-293.
28. Zhou P., Ang B.W., Han J.Y. Total factor carbon emission performance: a Malmquist index analysis. Energy Econ 2010, 32:194-201.
29. Zhou P., Ang B.W., Wang H. Energy and CO2 emission performance in electricity generation: a non-radial directional distance function approach. Eur J Oper Res 2012, 221:625-635.
30. Oh D. A global Malmquist-Luenberger productivity index. J Prod Anal 2010, 34:183-197.
31. Färe R., Grosskopf S., Lovell C.A.K. Multilateral productivity comparisons when some outputs are undesirable: a nonparametric approach. Rev Econ Stat 1989, 71:90-98.
32. Chambers R., Chung Y., Färe R. Benefit and distance functions. J Econ Theory 1996, 70:407-419.
33. Fukuyama H., Weber W. A directional slacks-based measure of technical efficiency. Soc-Econ Plan Sci 2009, 43:274-287.
34. Zhang N., Kong F., Choi Y., Zhou P. The effect of size-control policy on unified energy and carbon efficiency for Chinese fossil fuel power plants. Energy Policy 2014, 70:193-200.
35. Pastor J.T., Lovell C.A.K. A global Malmquist productivity index. Econ Lett 2005, 88:266-271.
36. Lee M., Zhang N. Technical efficiency, shadow price of carbon dioxide emissions, and substitutability for energy in the Chinese manufacturing industries. Energy Econ 2012, 34:1492-1497.
37. Chen S., Golley J. 'Green' productivity growth in China's industrial economy. Energy Econ 2014, 44:89-98.