A stochastic frontier analysis of energy efficiency of China's chemical Industry

Journal of Cleaner Production

Volumn 87, Issue 1, 2015, Pages 235-244

  Lin, Boqiang ^a,b   Long, Houyin ^b  

^a MINJIANG UNIVERSITY   (China)

^b XIAMEN UNIVERSITY   (China)

Author keywords

Energy conservation; Energy efficiency; SFA

Indexed keywords

CHEMICAL ANALYSIS; CHEMICAL INDUSTRY; ENERGY UTILIZATION; STOCHASTIC SYSTEMS; COAL INDUSTRY; ENERGY CONSERVATION;

AVERAGE ENERGY; EAST CHINA; ENERGY; ENERGY EFFICIENCY AND ENERGY SAVINGS; ENERGY INTENSIVE INDUSTRIES; ENERGY SAVINGS POTENTIAL; ENERGY-CONSUMPTION; SFA; STOCHASTIC FRONTIER ANALYSIS; UZBEKISTAN; ENERGY EFFICIENCY IMPROVEMENTS; ENERGY SAVING POTENTIAL; POLICY RECOMMENDATIONS; TRANS-LOG PRODUCTION FUNCTIONS;

ENERGY EFFICIENCY;

EID: 84925335179     PISSN: 09596526     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jclepro.2014.08.104     Document Type: Article

References (71)

1. Alfonso, A., Ferreira, G., Mainar-Toledo, M.D., Scarpellini, S., Sastresa, E.L., 2012. Energy consumption analysis of Spanish food and drink, textile, chemical and non-metallic mineral products sectors. Energy 42, 477-485.
2. Attila, S., Matjaz, P., 2013. Effectiveness of conditional punishment for the evolution of public cooperation. J. Theor. Biol. 325, 34-41.
3. Azadeh, A., Amalnick, M.S., Ghaderi, S.F., Asadzadeh, S.M., 2007. An integrated DEA PCA numerical taxonomy approach for energy efficiency assessment and consumption optimization in energy intensive manufacturing sectors. Energy Policy 35, 3792-3806.
4. Battese, G.E., Coelli, T.J., 1992. Frontier production functions, technical efficiency and panel data: with application to paddy farmers in India. J. Prod. Anal. 3, 153-169.
5. Battese, G.E., Coelli, T.J., 1995. A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empir. Econ. 20 (2), 325-332.
6. Benyamin, K., Shahin, R., Mahmoud, O., Hossein, M., 2013. Reduction of CO2 emission by improving energy use efficiency of greenhouse cucumber production using DEA approach. Energy 55, 676-682.
7. Buck, J., Young, D., 2007. The potential for energy efficiency gains in the Canadian commercial building sector: A stochastic frontier study. Energy 32, 1769-1780.
8. Charnes, A., Cooper, W.W., Rhodes, E., 1978. Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2, 429-444.
9. Chen, F., Lu, S., Chang, Y., 2007. Renewable energy in Taiwan: its developing status and strategy. Energy 32, 1634-1646.
10. Chen, F., Lu, S., Wang, C., Chang, Y., 2008. Promotion strategies for renewable energy in Taiwan. Renew. Sustain. Energy Rev. 12, 1681-1691.
11. Chen, F., Lu, S., Tseng, K., Lee, S., Wang, E., 2010. Assessment of renewable energy reserves in Taiwan. Renew. Sustain. Energy Rev. 14, 2511-2528.
12. Chow, G.C., 1993. Capital formation and economic growth in China. Q. J. Econ. 8, 809-842.
13. Coelli, Perelman, 1999. A comparison of parametric and non-parametric distance functions: with application to European railways. Eur. J. Oper. Res. 117 (2), 326-339.
14. Cullen, J.M., Allwood, J.M., Borgstein, E.H., 2011. Reducing energy demand: what are the practical limits? Environ. Sci. Technol. 45, 1711-1718.
15. Dan, H.J., 2008. The re-estimation of China's capital stock: 1952-2006. Quant. Tech. Econ. Res. 10, 17-31 (in Chinese).
16. Debreu, G., 1951. The coefficient of resource utilization. Econo metrica 22, 14-22.
17. Ding, J., Hua, W., 2012. Featured chemical industrial parks in China: history, current status and outlook. Resour. Conserv. Recycl. 63, 43-53.
18. Farrell, M.J., 1957. The measurement of productive efficiency. J. R. Sta. Soc. Ser. A 120, 253-281.
19. Filippini, M., Hunt, L.C., 2012. US residential energy demand and energy efficiency: A stochastic demand frontier approach. Energy Econ. 34, 1484-1491.
20. Gong, L.T., Xie, D.Y., 2004. Factor mobility and dispersion in marginal products a case on China. Econ. Res. 1, 45-53 (in Chinese).
21. Hall, R.E., Jones, C.I., 1999. Why do some countries produce so much more output per worker than others? Q. J. Econ. 1, 83-116.
22. He, J.H., 1992. Estimation on stock of China. J. Quant. Tech. Econ. 8, 24-27 (in Chinese).
23. He, X., 2011. The industrial energy conservation potential and the influencing factors in China. Financ. Res. 2, 34-46 (in Chinese).
24. He, X., 2012. The intensive growth of industry and its engines. China Econ. Q. 11 (4), 1287-1304 (in Chinese).
25. He, F., Chen, R., He, L., 2003. The estimation and correlation analysis on our country's cumulative amount of capital. Economist 5, 29-35 (in Chinese).
26. Hernandez-Sancho, F., Molinos-Senante, M., Sala-Garrido, R., 2011. Energy efficiency in Spanish wastewater treatment plants: A non-radial DEA approach. Sci. Total Environ. 409, 2693-2699.
27. Hu, J.L., Wang, S.C., 2006. Total factor energy efficiency of regions in China. Energy Policy 34 (17), 3206-3217.
28. Jin, J., Zhou, D., Zhou, P., 2014. Measuring environmental performance with stochastic environmental DEA: The case of APEC economies. Econ. Model. 38, 80-86.
29. Karren, F.V., Jefferson, G.H., Liu, H., Tao, Q., 2004. What is driving China's decline in energy intensity? Resour. Energy Econ. 26, 77-97.
30. KPMG, 2012. China's Chemical Industry: The New Forces Driving Change.
31. Kumbhakar, S.C., 2000. Estimation and decomposition of productivity change when production is not efficient: A panel data approach. Econ. Rev. 19 (4), 425-460.
32. Li, G.Z., Huo, Z.J., 2010. Total factor energy efficiency of China and its convergence. China population. Resour. Environ. 1, 11-16 (in Chinese).
33. Lin, B.Q., Du, K.R., 2013a. The energy effect of factor market distortion in China. Econ. Res. 9, 125-136 (in Chinese).
34. Lin, B.Q., Du, K.R., 2013b. Technology gap and China's regional energy efficiency: A parametric meta frontier approach. Energy Econ. 40, 529-536.
35. Lin, B.Q., Long, H.Y., 2014. How to promote energy conservation in China's chemical industry. Energy Policy 73, 93-102.
36. Lin, B.Q., Yang, L.S., 2013. The potential estimation and factor analysis of China's energy conservation on thermal power industry. Energy Policy 62, 354-362.
37. Lin, B.Q., Zhang, L., Wu, Y., 2012. Evaluation of electricity saving potential in China's chemical industry based on cointegration. Energy Policy 44, 320-330.
38. Lovell, C.A.K., Richardson, S., Travers, P., Wood, L., 1994. Resources and functionings: A new view of inequality in Australia. In: Models and Measurement of Welfare and Inequality. Springer, Berlin.
39. Lovins, A.B., 2004. Energy efficiency, taxonomic overview. In: Cleveland, C.J. (Ed.), Encyclopedia of Energy, vol. 2. Elsevier Inc., NY.
40. Lu, S.M., Lu, C., 2013. Strategy analysis for the development of a green energy industry: A Taipei case study. J. Clean. Prod. 1-8.
41. Lu, S., Huang, Y., Lu, J., 2008. Planning an energy-conserving policy for Taiwan based on international examples of success. Energy Policy 36, 2685-2693.
42. Lu, S.M., Huang, M., Su, P.T., Tseng, K.T., Chen, F.L., 2013a. Development strategy of green energy industry for Taipeida modern medium-sized city. Energy policy 62, 484-492.
43. Lu, S.M., Lu, C., Tseng, K.T., Chen, F.L., Chen, C., 2013b. Energy-saving potential of the industrial sector of Taiwan. Renew. Sustain. Energy Rev. 21, 674-683.
44. Matjaz, P., 2006. Coherence resonance in a spatial prisoner's dilemma game. New. J. Phys. 8, 22.
45. Matjaz, P., 2007a. Uncertainties facilitate aggressive behavior in a spatial hawk-dove game. Int. J. Bifurcat. Chaos 17, 4223-4227.
46. Matjaz, P., 2007b. Flights towards defection in economic transactions. Econ. Lett. 97, 58-63.
47. Matjaz, P., 2007c. Transition from Gaussian to Lfievy distributions of stochastic payoff variations in the spatial prisoner's dilemma game. Phys. Rev. E 75, 022-101.
48. Matjaz, P., 2007d. Microeconomic uncertainties facilitate cooperative alliances and social welfare. Econ. Lett. 95, 104-109.
49. Matjaz, P., Attila, S., 2010. Coevolutionary games e a mini review. Bio Systems 99, 109-125.
50. Matjaz, P., Grigolini, P., 2013. Collective behavior and evolutionary games e an introduction. Chaos, Solit. Fractals 56, 1-5.
51. Matjaz, P., Gomez-Gardenes, J., Attila, S., Luis, M.F., Moreno, Y., 2013. Evolutionary dynamics of group interactions on structured populations: A review. J. R. Soc. Interface 10, 20120997.
52. Murray, G., 1996. Patterson what is energy efficiency? Energy Policy 24 (5), 377-390.
53. Perkins, D.H., 1998. Reforming China's economic system. J. Econ. Lit. 26 (2), 601-645.
54. Popp, R.D., Chavas, J.P., 1994. Cost functions under production uncertainty. Am. J. Agric. Econ. 76, 196-204.
55. Ren, R.E., Liu, X.S., 1997. Some issues about estimation of China's capital stock. J. Quant. Tech. Econ. 1, 19-24 (in Chinese).
56. Shepahard, R.W., 1970. Theory of Cost and Production Functions. Princton University Press, Princeton, N.J., p. 14.
57. Shi, D., Wu, L.X., Fu, X.X., Wu, B., 2008. Study on regional differences of China energy efficiency and its genesis. Manag. World 2, 35-43 (in Chinese).
58. Shi, G.M., Bi, J., Wang, J.N., 2010. Chinese regional industrial energy efficiency evaluation based on a DEA model of fixing non-energy inputs. Energy Policy 38, 6172-6179.
59. Socolow, R.H., Pacala, S.W., September 2006. A plan to keep carbon in check. Sci. Am. 28-35.
60. Wang, Q.W., Zhao, Z.Y., Zhou, P., Zhou, D.Q., 2013. Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach, 35, 283-289.
61. Wang, Z., Szolnoki, A., Matjaz, P., 2014. Rewarding evolutionary fitness with links between populations promotes cooperation. J. Theor. Biol. 349, 50-56.
62. Wei, C., Shen, M.H., 2007. Energy efficiency and its influencing factors-based on DEA empirical analysis. Manag. World 8, 66-76 (in Chinese).
63. Xavier, I., Thirtle, C., 2004. Dual technological development in Botswana agriculture: A stochastic input distance function approach. J. Agric. Econ. 55 (3), 455-478.
64. Yang, H.L., Shi, D., 2008. Energy-efficiency methods and comparing the energy efficiency of different areas in China. Econ. Theory Econ. Manag. 3, 12-20 (in Chinese).
65. -9Ye, Z.R., 2010. The estimation of China's provincial capital stock 1978-2008. Stat. Res. 12, 1-9 (in Chinese).
66. Young, Alwyn, 2000. Gold into Base Metals: Productivity Growth in the People's Republic of China during the Reform Period. NBRE working paper no. 7856.
67. Zhang, J., 2002. Growth capital formation and technological choice: why has China's economic growth rate been declining? Q. J. Econ. 301-338 (in Chinese).
68. Zhang, J., Zhang, Y., 2003. Recalculating the capital of China and a review of Li and Tang's article. Econ. Res. J. 7, 35-43 (in Chinese).
69. Zhang, J., Wu, G.Y., Zhang, J.P., 2004. Estimation on China's provincial material capital stock: 1952-2000. Econ. Res. J. 10, 35-44 (in Chinese).
70. Zhou, P., Ang, B.W., Poh, K.L., 2008. Measuring environmental performance under different environmental DEA technologies. Energy Econ. 30, 1.
71. Zhou, P., Ang, B.W., Zhou, D.Q., 2012. Measuring economy-wide energy efficiency performance: A parametric frontier approach. Appl. Energy 90, 196-200.