Measuring the productivity of energy consumption of major industries in China: A DEA-based method

Mathematical Problems in Engineering

Volumn 2014, Issue , 2014, Pages

  Han, Xishuang ^a   Xue, Xiaolong ^a   Ge, Jiaoju ^a   Wu, Hengqin ^a   Su, Chang ^b  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b North China Pearl River Investment Stock Company Department of Investment and Development Center   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ENVELOPMENT; DECISION-MAKING UNITS; EFFICIENCY FRONTIERS; INDUSTRY SECTORS; MALMQUIST PRODUCTIVITY INDEX; MULTIPLE INPUTS; POLICY MAKERS; PRODUCTIVITY CHANGES;

DATA ENVELOPMENT ANALYSIS; DECISION MAKING; PRODUCTIVITY;

ENERGY UTILIZATION;

EID: 84893868420     PISSN: 1024123X     EISSN: 15635147     Source Type: Journal    
DOI: 10.1155/2014/121804     Document Type: Article

References (35)

1. Liu J., Diamond J., China's environment in a globalizing world. Nature 2005 435 7046 1179 1186 2-s2.0-21744434245 10.1038/4351179a (Pubitemid 40943076)
2. Asif M., Muneer T., Energy supply, its demand and security issues for developed and emerging economies. Renewable and Sustainable Energy Reviews 2007 11 7 1388 1413 2-s2.0-33847346317 10.1016/j.rser.2005.12.004 (Pubitemid 46349810)
3. Felipe J., Total factor productivity growth in East Asia: a critical survey. Journal of Development Studies 1999 35 4 1 41 2-s2.0-0032817874 (Pubitemid 29375682)
4. Fischer M. M., Scherngell T., Reismann M., Knowledge spillovers and total factor productivity: evidence using a spatial panel data model. Geographical Analysis 2009 41 2 204 220 2-s2.0-65349169043 10.1111/j.1538-4632.2009.00752.x
5. Kitcher B., McCarthy I. P., Turner S., Ridgway K., Understandinig the effects of outsourcing: unpacking the total factor productivity variable. Production Planning & Control 2013 24 4-5 308 317 10.1080/09537287.2011. 648543
6. Fagerberg J., Technology and international differences in growth rates. Journal of Economic Literature 1994 32 3 1147 1175
7. Sufian F., Total factor productivity change in non-bank financial institutions: evidence from Malaysia applying a malmquist productivity index (MPI). Applied Econometrics and International Development 2007 7 1 177 186
8. Atkinson S. E., Cornwell C., Honerkamp O., Measuring and decomposing productivity change: stochastic distance function estimation versus data envelopment analysis. Journal of Business and Economic Statistics 2003 21 2 284 294 2-s2.0-0037386610 10.1198/073500103288618963 (Pubitemid 36420077)
9. Cook W. D., Seiford L. M., Data envelopment analysis (DEA)-thirty years on. European Journal of Operational Research 2009 192 1 1 17 2-s2.0-50849120052 10.1016/j.ejor.2008.01.032
10. Sarkis J., Weinrach J., Using data envelopment analysis to evaluate environmentally conscious waste treatment technology. Journal of Cleaner Production 2001 9 5 417 427 2-s2.0-0035480529 10.1016/S0959-6526(00)00084-6 (Pubitemid 32544504)
11. Bevilacqua M., Braglia M., Environmental efficiency analysis for ENI oil refineries. Journal of Cleaner Production 2002 10 1 85 92 2-s2.0-0036466449 10.1016/S0959-6526(01)00022-1 (Pubitemid 33050853)
12. Kuo R. J., Wang Y. C., Tien F. C., Integration of artificial neural network and MADA methods for green supplier selection. Journal of Cleaner Production 2010 18 12 1161 1170 2-s2.0-77955276218 10.1016/j.jclepro.2010.03.020
13. Fukuyama H., Masaki H., Sekitani K., Shi J., Distance optimization approach to ratio-form efficiency measures in data envelopment analysis. Journal of Productivity Analysis 2013 10.1007/s11123-013-0366-7
14. Färe R., Grosskopf S., Lindgren B., Roos P., Productivity changes in Swedish pharamacies 1980-1989: a non-parametric Malmquist approach. Journal of Productivity Analysis 1992 3 1-2 85 101 2-s2.0-34249841995 10.1007/BF00158770
15. Farrell M. J., The measurement of productive efficiency. Journal of the Royal Statistical Society A 1957 120 3 253 290
16. Caves D. W., Christensen L. R., Diewert W. E., The economic theory of index numbers and the measurement of input, output, and productivity. Econometrica 1982 50 6 1393 1414 10.2307/1913388
17. Brockett P. L., Charnes A., Cooper W. W., Huang Z. M., Sun D. B., Data transformations in DEA cone ratio envelopment approaches for monitoring bank performances. European Journal of Operational Research 1997 98 2 250 268 2-s2.0-0001510631 10.1016/S0377-2217(97)83069-X (Pubitemid 127380067)
18. Mukherjee K., Ray S. C., Miller S. M., Productivity growth in large US commercial banks: the initial post-deregulation experience. Journal of Banking and Finance 2001 25 5 913 939 2-s2.0-0041834701 10.1016/S0378-4266(00)00103-5 (Pubitemid 33632199)
19. Chiu Y. H., Chen Y. C., Bai X. J., Efficiency and risk in Taiwan banking: SBM super-DEA estimation. Applied Economics 2011 43 5 587 602 2-s2.0-79751491940 10.1080/00036840802599750
20. Färe R., Grosskopf S., Lovell C. A. K., Production Frontiers 1994 Cambridge Cambridge, U.K University Press
21. Odeck J., Assessing the relative efficiency and productivity growth of vehicle inspection services: an application of DEA and Malmquist indices. European Journal of Operational Research 2000 126 3 501 514 2-s2.0-0034325770 10.1016/S0377-2217(99)00305-7
22. Hjalmarsson L., Veiderpass A., Productivity in Swedish electricity retail distribution. Scand Journal of Economics 1992 94 193 205
23. Boyd G. A., Pang J. X., Estimating the linkage between energy efficiency and productivity. Energy Policy 2000 28 5 289 296 2-s2.0-0034014790 10.1016/S0301-4215(00)00016-1 (Pubitemid 30259993)
24. Kulshreshtha M., Parikh J. K., Study of efficiency and productivity growth in opencast and underground coal mining in India: a DEA analysis. Energy Economics 2002 24 5 439 453 2-s2.0-0036670477 10.1016/S0140-9883(02)00025-7 (Pubitemid 35029008)
25. Zaim O., Measuring environmental performance of state manufacturing through changes in pollution intensities: a DEA framework. Ecological Economics 2004 48 1 37 47 2-s2.0-0742285125 10.1016/j.ecolecon.2003.08.003 (Pubitemid 38154125)
26. Önüt S., Soner S., Analysis of energy use and efficiency in Turkish manufacturing sector SMEs. Energy Conversion and Management 2007 48 2 384 394 2-s2.0-33845886108 10.1016/j.enconman.2006.07.009 (Pubitemid 46027323)
27. Chien T., Hu J. L., Renewable energy and macroeconomic efficiency of OECD and non-OECD economies. Energy Policy 2007 35 7 3606 3615 2-s2.0-34147148562 10.1016/j.enpol.2006.12.033 (Pubitemid 46554850)
28. Zhou P., Ang B. W., Linear programming models for measuring economy-wide energy efficiency performance. Energy Policy 2008 36 8 2901 2906 2-s2.0-46049089190 10.1016/j.enpol.2008.03.041
29. Chen Y., Ali A. I., DEA Malmquist productivity measure: new insights with an application to computer industry. European Journal of Operational Research 2004 159 1 239 249 2-s2.0-2942642311 10.1016/S0377-2217(03)00406-5
30. Chen Y., A non-radial Malmquist productivity index with an illustrative application to Chinese major industries. International Journal of Production Economics 2003 83 1 27 35 2-s2.0-0037464648 10.1016/S0925-5273(02)00267-0
31. Xue X. L., Shen Q. P., Wang Y. W., Lu J. F., Measuring the productivity of the construction industry in China by using DEA-based malmquist productivity indices. Journal of Construction Engineering and Management 2008 134 1 64 71 2-s2.0-37249007206 10.1061/(ASCE)0733-9364(2008)134:1(64) (Pubitemid 350265379)
32. Fang H., Wu J., Zeng C., Comparative study on efficiency performance of listed coal mining companies in China and the US. Energy Policy 2009 37 12 5140 5148 2-s2.0-71549136447 10.1016/j.enpol.2009.07.027
33. Jenkins L., Anderson M., A multivariate statistical approach to reducing the number of variables in data envelopment analysis. European Journal of Operational Research 2003 147 1 51 61 2-s2.0-0037449031 10.1016/S0377-2217(02) 00243-6
34. Casu B., Shaw D., Thanassoulis E., Using a group support system to aid input-output identification in DEA. Journal of the Operational Research Society 2005 56 12 1363 1372 2-s2.0-27844506605 10.1057/palgrave.jors.2601965 (Pubitemid 41656002)
35. Wagner J. M., Shimshak D. G., Stepwise selection of variables in data envelopment analysis: procedures and managerial perspectives. European Journal of Operational Research 2007 180 1 57 67 2-s2.0-33846268771 10.1016/j.ejor.2006. 02.048 (Pubitemid 46123863)