DOI QR코드

DOI QR Code

DEA를 활용한 중앙집중식 온실가스 감축 할당 모형

Centralized Allocation of GHG Emissions based on DEA

  • 조나래 (이화여자대학교 경영학과) ;
  • 민대기 (이화여자대학교 경영학과)
  • Cho, Narea (School of Business, Ewha Womans University) ;
  • Min, Daiki (School of Business, Ewha Womans University)
  • 투고 : 2016.11.16
  • 심사 : 2017.03.06
  • 발행 : 2017.06.15

초록

Emissions Trading System (ETS) is utilized in many countries, including South Korea, as an efficient policy to abate GHG (Greenhouse Gas) emissions. Grandfathering on the basis of historic emissions is used as the way to allocate permits in South Korea. It, however, has caused an increase in the emission permits and lack of equity. To overcome these drawbacks, we propose an alternative DEA model for centralized allocation of emission abatement to evaluate the amount of emissions abatement by company based on the energy efficiency. In addition, an empirical analysis of 36 assigned companies for ETS in Korean metal industry is conducted to validate the feasibility of the proposed model. The result of the analysis shows that energy-efficient companies achieve reduced target of the emissions abatement and companies with low energy efficiency score are turned out to have contrary outcome, against the result of applying Grandfathering.

키워드

참고문헌

  1. Amirteimoori, A. and Kordrostami, S. (2005), Allocating fixed costs and target setting : a DEA-based approach, European Journal of Operational Research, 171(1), 136-151.
  2. Asmild, M., Paradi, J, C., and Pastor, J, T. (2009), Centralized resource allocation BCC models, Omega, 37(1), 40-49. https://doi.org/10.1016/j.omega.2006.07.006
  3. Banker, R. D., Charnes, A., and Cooper, W, W. (1984), Some models for estimating technical and scale inefficiencies in data envelopment analysis, Management Science, 30(9), 1078-1092. https://doi.org/10.1287/mnsc.30.9.1078
  4. Boussofinance, A., Dyson, R. G., and Thanassoulis, E. (1991), Applied data envelopment analysis, European Journal of Operations Research, 52(1), 1-15. https://doi.org/10.1016/0377-2217(91)90331-O
  5. Charnes, A., Cooper, W. W., and Rhodes, E. (1978), Measuring the efficiency of decision making units, European Journal of Operational Research, 2(6), 429-444. https://doi.org/10.1016/0377-2217(78)90138-8
  6. Daraio, C. and Simar, L. (2007), Advanced rebust and nonparametric methods in efficiency analysis : methodology and applications, Springer Science & Business Media, 13-42.
  7. Du, J., Cook, W. D., Liang, L., and Zhu, J. (2014), Fixed cost and resource allocation based on DEA cross-efficiency, European Journal of Operational Research, 235(1), 206-214. https://doi.org/10.1016/j.ejor.2013.10.002
  8. Dyckhoff, H. and Allen, K. (2001), Measuring ecological efficiency with data envelopment analysis(DEA), European Journal of Operations Research, 132(2), 312-325. https://doi.org/10.1016/S0377-2217(00)00154-5
  9. Fang, L. (2013), A generalized DEA model for centralized resource allocation, European Journal of Operational Research, 228(2), 405-412. https://doi.org/10.1016/j.ejor.2013.01.049
  10. Feng, C., Chu, F., Ding, J., Bi, G., and Liang, L. (2015), Carbon Emissions Abatement(CBA) allocation and compensation schemes based on DEA, Omega, 53, 78-89. https://doi.org/10.1016/j.omega.2014.12.005
  11. Fischer, C. and Fox, A. (2004), Output-based allocation of emissions permits : Efficiency and distributional effects in a general equilibrium setting with taxes and trade, Resources for the future, Discussion paper, 4-37.
  12. Fitzsimmons, J. A. and Fitzsimmons, M. J. (1994), Service management for competitive advantage, McGraw Hill, Inc
  13. Fuiji, H. and Managi, S. (2015), Optimal production resource reallocation for $CO_2$ emissions reduction in manufacturing sectors, Global Environmental Change, 35, 505-513. https://doi.org/10.1016/j.gloenvcha.2015.06.005
  14. Gomes, E. G. and Lins, M. P. E., Modelling undesirable outputs with zero sum gains data envelopment analysis model, Journal of the Operational Research Society, 59(5), 616-623. https://doi.org/10.1057/palgrave.jors.2602384
  15. Groenenberg, H. and Blok, K. (2002), Benchmark-based emission allocation in a cap-and-trade system, Climate Policy, 2(1), 105-109. https://doi.org/10.3763/cpol.2002.0209
  16. Guo, X. D., Zhu, L., Fan, Y., and Xie, B. C. (2011), Evaluation of potential reductions in carbon emissions in Chinese provinces based on environmental DEA, Energy Policy, 39(5), 2352-2360. https://doi.org/10.1016/j.enpol.2011.01.055
  17. Hahn, T., Figge, F., Liesen, A., and Barkemeyer, R. (2010), Opportunity cost based analysis of corporate eco-efficiency : a methodology and its application to the $CO_2$-efficiency of German companies, Journal of Environment Manage, 91(10), 1997-2007. https://doi.org/10.1016/j.jenvman.2010.05.004
  18. Hakim, S., Seifi, A., and Ghaemi, A. (2016), A bi-level formulation for DEA-based centralized resource allocation under efficiency constraints, Computers and Industrial Engineering, 93, 28-35. https://doi.org/10.1016/j.cie.2015.12.020
  19. Hatami-Marbini, A., Tavana, M., Agrell, P. M., Lotfi, F. H., and Beigi, Z. G. (2015), A common-weights DEA model for centralized reduction and target setting, Computers and Industrial Engineering, 79, 195-203. https://doi.org/10.1016/j.cie.2014.10.024
  20. Lee, J.-D. and Oh, D.-H. (2012), Theory of efficiency analysis : Data Envelopment Analysis, Jiphil Media, Seoul, Korea.
  21. Li, H., Yang, W., Zhou, Z., and Huang, C. (2013), Resource allocation models' construction for the reduction of undesirable outputs based on DEA methods, Mathematical and Computer Modelling, 58(5-6), 913-926. https://doi.org/10.1016/j.mcm.2012.10.026
  22. Li, Y. J., Yang, L., Liang, L., and Hua, Z. S. (2009), Allocating the fixed cost as a complement of other cost inputs : a DEA approach, European Journal of Operational Research, 197(1), 389-401. https://doi.org/10.1016/j.ejor.2008.06.017
  23. Lim, M. S., Kim, J., and Choi, S. J. (2015), A study on eco-efficiency in public sector using decision tree and DEA analysis, Journal of the Korean Operations Research and Management Science Society, 40(1), 91-116. https://doi.org/10.7737/JKORMS.2015.40.1.091
  24. Lins, M. P. E., Gomes, E. G., Soares de Mello, J. C. B., and Soares de Mello, A. J. R. (2003), Olympic ranking based on a zero sum gains DEA model, European Journal of Operational Research, 148(2), 312-322. https://doi.org/10.1016/S0377-2217(02)00687-2
  25. Lofti, F. H., Hatami-Marbini, A., Agrell, P. J., Aghayi, N., and Gholami, K. (2013), Allocating fixed resources and setting targets using a common-weights DEA approach, Computers and Industrial Engineering, 64(2), 631-640. https://doi.org/10.1016/j.cie.2012.12.006
  26. Lovell, C. A. K. (1993), Production frontiers and productive efficiency, The measurement of productive efficiency : techniques and applications, 3-67.
  27. Lozano, S. and Villa, G. (2004), Centralized resource allocation using data envelopment analysis, Journal of Productivity Anlaysis, 22, 143-161. https://doi.org/10.1023/B:PROD.0000034748.22820.33
  28. Lozano, S., Villa, G., and Brannlund, R. (2009), Centralised reallocation of emission permits using DEA, European Journal of Operational Research, 193(3), 752-760. https://doi.org/10.1016/j.ejor.2007.07.029
  29. Mandal, S. K. (2010), Do undesirable output and environmental regulation matter in energy efficiency analysis? Evidence from Indian Cement Industry, Energy Policy, 38(10), 6076-6083. https://doi.org/10.1016/j.enpol.2010.05.063
  30. Miao, Z., Geng, Y., and Sheng, J. (2016), Efficient allocation of $CO_2$ emissions in China : a zero sum gains data envelopment model, Journal of Cleaner Production, 112(5), 4144-4150. https://doi.org/10.1016/j.jclepro.2015.07.035
  31. Park, D.-I., Kang, H.-C., Han, S.-T., and Choi, H.-S. (2013), Comparison study of outlier detection methods in a regression model, Journal of the Korean Data Analysis Society, 15(1), 177-186.
  32. Passetti, E. and Tenucci, A. (2016), Eco-efficiency measurement and the influence of organisational factors : evidence from large Italian companies, Journal of Cleaner Production, 122, 228-239. https://doi.org/10.1016/j.jclepro.2016.02.035
  33. Ramli, N. A. and Munisamy, S. (2015), Eco-efficiency in greenhouse emissions among manufacturing industries : A range adjusted measure, Economic Modelling, 47, 219-227. https://doi.org/10.1016/j.econmod.2015.02.034
  34. Scheel, H. (2001), Undesriable outputs in efficiency valuations, European Journal of Operational Research, 132(2), 400-410. https://doi.org/10.1016/S0377-2217(00)00160-0
  35. Sun, J., Wu, J., Liang, L., Zhong, R. Y., and Huang, G, Q. (2014), Allocation of emission permits using DEA: centralised and individual points of view, International Journal of Production Research, 52(2), 419-435. https://doi.org/10.1080/00207543.2013.829592
  36. Watanabe, M. and Tanaka, K. (2007), Efficiency analysis of Chinese industry : a directional distance function approach, Energy Policy, 35 (12), 6323-6331. https://doi.org/10.1016/j.enpol.2007.07.013
  37. Wei, C., Ni, J., and Du, L. (2012), Regional allocation of carbon dioxide abatement in China, China Economic Review, 23, 552-565. https://doi.org/10.1016/j.chieco.2011.06.002
  38. Wu, H., Du, S., Liang, L., and Zhou, Y. (2013), A DEA-based approach for fair reduction and reallocation of emission permits, Mathematical and Computer Modelling, 58(5), 1095-1101. https://doi.org/10.1016/j.mcm.2012.03.008
  39. Wu, J., An, Q., Ali, S., and Liang, L. (2013), DEA based resource allocation considering environmental factors, Mathematical and Computer Modelling, 58, 1128-1137. https://doi.org/10.1016/j.mcm.2011.11.030
  40. Wu, J., Zhu, Q., and Liang, L. (2016), $CO_2$ emissions and energy intensity reduction allocation over provincial industrial sectors in China, Applied Energy, 166, 282-291. https://doi.org/10.1016/j.apenergy.2016.01.008
  41. Wu, J., Zhu, Q., An, Q., Chu, J., and Ji, X. (2016), Resource allocation based on context-dependent data envelopment analysis and a multiobjective linear programming approach, Computers and Industrial Engineering, 101, 81-90. https://doi.org/10.1016/j.cie.2016.08.025
  42. Wu, J., Zhu, Q., Chu, J., An, Q., and Liang, L. (2016), A DEA-based approach for allocation of emission reduction tasks, International Journal of Production Research, 54(18), 5618-5633. https://doi.org/10.1080/00207543.2016.1194537
  43. Zetterberg, L. (2014), Benchmarking in the European Union Emissions Trading System : Abatement Incentives, Energy Economics, 43, 218-224. https://doi.org/10.1016/j.eneco.2014.03.002
  44. Zhou, P. and Wang, M. (2016), Carbon dioxide emissions allocation: A review, Ecological Economics, 125, 47-59. https://doi.org/10.1016/j.ecolecon.2016.03.001
  45. Zhou. P., Ang, B. W., and Poh, K. L. (2008b), Measuring environmental performance under different environmental DEA technologies, Energy Economics, 30, 1-14.
  46. Zhou. P., Ang, B. W., and Poh, K. L. (2008a), A survey of data envelopment analysis in energy and environmental studies, European Journal of Operational Research, 189, 1-8. https://doi.org/10.1016/j.ejor.2007.04.042