China's provincial industrial energy efficiency and its determinants

Mathematical and Computer Modelling

Volumn 58, Issue 5-6, 2013, Pages 1032-1039

  Pan, Huifeng ^a   Zhang, Haiyun ^a   Zhang, Xulu ^a  

^a UNIVERSITY OF INTERNATIONAL BUSINESS AND ECONOMICS   (China)

Author keywords

Data envelopment analysis; Energy efficiency; Panel tobit regression; Undesirable outputs

Indexed keywords

DATA ENVELOPMENT ANALYSIS TECHNIQUE; EFFICIENCY INCREASE; EXPLANATORY POWER; INDEPENDENT VARIABLES; INDUSTRIAL ENERGY EFFICIENCY; TOBIT REGRESSION; TWO-STAGE APPROACHES; UNDESIRABLE OUTPUTS;

COAL; COMMERCE; DATA ENVELOPMENT ANALYSIS; ECONOMICS; ENERGY UTILIZATION; INDUSTRY;

ENERGY EFFICIENCY;

EID: 84880646547     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mcm.2012.09.006     Document Type: Article

References (26)

1. Shi G.M., Bi J., Wang J.N. Chinese regional industrial energy efficiency evaluation based on a DEA model of fixing non-energy inputs. Energy Policy 2010, 38(10):6172-6179.
2. Zheng J., Liu X., Bigsten A. Ownership structure and determinants of technical efficiency: an application of data envelopment analysis to Chinese enterprises (1986-1990). Journal of Comparative Economics 1998, 26(3):465-484.
3. Hu J.L., Wang S.C. Total-factor energy efficiency of regions in China. Energy Policy 2006, 34(17):3206-3217.
4. Chien T., Hu J.L. Renewable energy and macroeconomic efficiency of OECD and non-OECD economies. Energy Policy 2007, 35(7):3606-3615.
5. Honma S., Hu J.L. Total-factor energy efficiency of regions in Japan. Energy Policy 2008, 36(2):821-833.
6. Wang H.W., He X.L., Ma J.H. The analysis of the energy efficiency and its influence factors in TianJin. Energy Procedia 2011, 5(5):1671-1675.
7. Mandal S.K. Do undesirable output and environmental regulation matter in energy efficiency analysis? Evidence from Indian Cement Industry. Energy Policy 2010, 38(10):6076-6083.
8. World Bank, Clear water blue skies, The World Bank, Washington, DC, 1997.
9. Gollop F., Swinand G. From total factor to total resource productivity: an application to agriculture. American Journal of Agricultural Economics 1998, 80(3):577-583.
10. Pittman R.W. Multilateral productivity comparisons with undesirable outputs. The Economic Journal 1983, 93(372):883-891.
11. Taskin F., Zaim O. Searching for a Kuznets curve in environmental efficiency using kernel estimation. Economics Letters 2000, 68(2):217-223.
12. Zaim O., Taskin F. A Kuznets curve in environmental efficiency: an application on OECD countries. Environmental and Resource Economics 2000, 17(1):21-36.
13. Charnes A., Cooper W.W., Rhodes E. Measuring efficiency of decision-making units. European Journal of Operational Research 1978, 2(6):429-444.
14. Banker R.D., Charnes A., Copper W.W. Some models for estimating technical and scale inefficiency in data envelopment analysis. Management Science 1984, 30(9):1078-1092.
15. Coelli T.J., Rao D.S., Battese G.E. An Introduction to Efficiency and Productivity Analysis 1998, Kluwer Academic Publishers, Boston.
16. Golany B., Roll Y. An application procedure for DEA. Omega 1989, 17(3):237-250.
17. S. Meyers, Improving energy efficiency: strategies for supporting sustained market evolution in developing and transitioning countries, Report LBL-41460, Lawrence Berkeley Laboratory, Berkeley, CA, 1998.
18. Fisher-Vanden K. The effects of market reforms on structural change: implications for energy use and carbon emissions in China. Energy Journal 2003, 24(3):27-62.
19. Fisher-Vanden K., Jefferson G.H., Liu H.M., Tao Q. What is driving China's decline in energy intensity?. Resource and Energy Economics 2004, 26(1):77-97.
20. Fan Y., Liao H., Wei Y.M. Can market oriented economic reforms contribute to energy efficiency improvement? Evidence from China. Energy Policy 2007, 35(4):2287-2295.
21. 2 emission control efficiency?. Expert Systems with Applications 2011, 38(10):12379-12387.
22. Shi D. Regional differences in China's energy efficiency and conservation potentials. China Industrial Economy 2006, 15(1):96-115.
23. Garrone P., Grilli L. Is there a relationship between public expenditures in energy R&D and carbon emissions per GDP? An empirical investigation. Energy Policy 2010, 38(10):5600-5613.
24. Kimura O. Public R&D and commercialization of energy-efficient technology: a case study of Japanese projects. Energy Policy 2010, 38(11):7358-7369.
25. Wiesenthal T., Leduc G., Haegeman K., Schwarz H.G. Bottom-up estimation of industrial and public R&D investment by technology in support of policy-making: the case of selected low-carbon energy technologies. Research Policy 2012, 41(1):116-131.
26. T.J. Coelli, A guide to DEAP version 2.1: a data envelopment analysis (computer) program, Department of Econometrics, University of New England, Armidale, Australia, 1996.