Analysis of Carbon Emission Efficiency in China Based on Three-Stage DEA Model

Abstract

Abstract: Accurate evaluation of regional carbon emission efficiency is the basis for each province to develop targeted mitigation strategy. Classic DEA model can not exclude the influence of external environmental factors and random factors. In this paper, the authors use three-stage DEA model to estimate regional carbon emission efficiency to eliminate external environmental factors and random factors. The research result shows that high efficiency regions have 9 provinces including Guangdong, middle efficiency regions have 16 provinces including Hunan, and low efficiency regions have 4 provinces including Gansu. The calculation results of the average carbon emission efficiency from 1997 to 2010 in each province are estimated respectively by classic DEA model, which by three-stage DEA Model have significant difference, but are more consistent with China's actual situation and expected results of economic development. Based on their own evaluation results, the provinces should target the provincial carbon emission efficiency on them.

Key words: operational research, carbon emission efficiency, three-stage DEA model, SFA, empirical analysis

摘要： 对我国区域碳排放效率的准确测评是各省区针对性制定减排战略的基础,经典DEA模型未能排除外部环境因素和随机因素的影响,本文利用三阶段DEA模型构建消除外部环境因素和随机因素的区域碳排放效率测算模型。研究表明我国碳排放高效率地区共有广东等9省,中效率地区共有湖南等16省,低效率地区共有甘肃等4省。用三阶段DEA模型测算出的各省1997~2010年平均碳排放效率结果与经典DEA模型测算结果有显著性差异,与我国经济发展实际和预期结果更加吻合,各省可以根据自身测评结果有针对性地提高综合碳排放效率。

关键词: 运筹学, 碳排放效率, 三阶段DEA模型, SFA, 实证分析

CLC Number:

F124.6

DONG Feng, LIU Xiao-yan, LONG Ru-yin, ZHOU De-qun. Analysis of Carbon Emission Efficiency in China Based on Three-Stage DEA Model[J]. Operations Research and Management Science, 2014, 23(4): 196-205.

董锋, 刘晓燕, 龙如银, 周德群. 基于三阶段DEA模型的我国碳排放效率分析[J]. 运筹与管理, 2014, 23(4): 196-205.

References

[1] Schmalensee R, Stoker T M, Judson R A. World carbon dioxide emissions: 1950~2050[J]. Review of Economics and Statistics, 1998, 80(1): 15-27.
[2] Friedl B, Getzner M. Determinants of CO₂ emissions in a small open economy[J]. Ecological Economics, 2003, 45(1): 133-148.
[3] Shui B, Harriss R C. The role of CO₂ embodiment in US-China trade[J]. Energy policy, 2006, 34(18): 4063-4068.
[4] Guan D, Hubacek K, Weber C L, et al. The drivers of Chinese CO₂ emissions from 1980 to 2030[J]. Global Environmental Change, 2008, 18(4): 626-634.
[5] Ang B W, Zhang F Q, Choi K H. Factorizing changes in energy and environmental indicators through decomposition[J]. Energy, 1998, 23(6): 489-495.
[6] Fan Y, Liu L C, Wu G, et al. Changes in carbon intensity in China: empirical findings from 1980~2003[J]. Ecological Economics, 2007, 62(3): 683-691.
[7] Zhang M, Mu H L, Ning Y D. Accounting for energy-related CO₂ emission in China, 1991~2006[J]. Energy Policy, 2009, 37(3): 767-773.
[8] Chakravorty U, Hubert M H L. Global impacts of the biofuel mandate under a carbon tax[J]. American Journal of Agricultural Economics, 2013, 95(2): 282-288.
[9] Jensen J, Rasmussen T N. Allocation of CO₂ emissions permits: a general equilibrium analysis of policy instruments[J]. Journal of Environmental Economics and Management, 2000, 40(2): 111-136.
[10] Seres S. Hats off to the Kyoto Protocol and the CDM: a giant success story[J]. Carbon Management, 2013, 4(1): 23-25.
[11] Bosseboeuf D, Chateau B, Lapillonne B. Cross-country comparison on energy efficiency indicators: The on-going European effort towards a common methodology[J]. Energy Policy, 1997, 25(9): 673-682.
[12] Kaya Y, Yokobori K. Environment, energy and economy: strategies for sustainability[M]. Delhi: Bookwell Publications, 1999.
[13] 何建坤,苏明山.应对全球气候变化下的碳生产率分析[J].中国软科学,2009,(10):42-47.
[14] 谌伟,诸大建,白竹岚.上海市工业碳排放总量与碳生产率关系[J].中国人口·资源与环境,2010,20(9):24-29.
[15] 潘家华,张丽峰.我国碳生产率区域差异性研究[J].中国工业经济,2011,(5):48-57.
[16] 杨红亮,史丹.能效研究方法和中国各地区能源效率的比较[J].经济理论与经济管理,2008,(3):12-20.
[17] 杜克锐,邹楚沅.我国碳排放效率地区差异、影响因素及收敛性分析-基于随机前沿模型和面板单位根的实证研究[J].浙江社会科学,2011,(11):32-43.
[18] Chung Y H, Fare R, Grosskopf S. Productivity and undesirable outputs: a directional distance function approach[J]. Journal of Environmental Management, 1997, 51(3): 229-240.
[19] Fare G, Grosskopf S, Pasurka Jr C A. Environmental production functions and environmental directional distance functions[J]. Energy, 2007, 32(7): 1055-1066.
[20] Zhou P, Ang B W, Han J Y. Total factor carbon emission performance: a malmquist index analysis[J]. Energy Economics, 2010, 32(1): 194-201.
[21] 王群伟,周鹏,周德群.我国二氧化碳排放绩效的动态变化、区域差异及影响因素[J].中国工业经济,2010,(1):45-54.
[22] 魏梅,曹福明,江金荣.生产中碳排放效率长期决定及其收敛性分析[J].数量经济技术经济研究,2010(9):43-52.
[23] 胡玉莹.中国能源消耗、二氧化碳排放与经济可持续增长[J].当代财经, 2010(2):29-36.
[24] 陈诗一.能源消耗、二氧化碳排放与中国工业的可持续发展[J].经济研究,2009,(4):41-55.
[25] 李胜文,李新春,杨学儒.中国的环境效率与环境管制——基于1986~2007年省级水平的估算[J].财经研究,2010,36(2):59-68.
[26] 李涛,傅强.中国省际碳排放效率研究[J].统计研究,2011(7):62-70.
[27] Hu J L, Wang S C. Total-factor energy efficiency of regions in China[J]. Energy Policy, 2006, (34): 3206-3217.
[28] 徐国泉,刘则源.1985~2005年中国八大经济区域全要素能源效率——基于省际面板数据的分析[J].中国科技论坛,2007,(7):68-72.
[29] 魏楚,沈满洪.能源效率及其影响因素:基于DEA的实证分析[J].管理世界,2007,(8):66-76.
[30] Fried H O, Lovell C A K, Schmidt S S, et al. Accounting for environmental effects and statistical noise in data envelopment analysis[J]. Journal of Productivity Analysis, 2002(17):121-136.
[31] 黄宪, 余丹, 杨柳.我国商业银行X效率研究——基于DEA三阶段模型的实证分析[J].数量经济技术经济研究,2008,(7):80-91.
[32] 戴文文,高建福.中国上市银行效率的实证研究-基于DEA三阶段模型分析[J].价值工程,2009,(10):160-164.
[33] 方燕,白先华.中国商业银行经营效率分析——三阶段DEA之应用[J].中央财经大学学报,2008,(6):41-46.
[34] 郭军华,倪明,李帮义.基于三阶段DEA模型的农业生产效率研究[J].数量经济技术经济研究,2010,(12):27-38.
[35] 白俊红,蒋伏心.考虑环境因素的区域创新效率研究-基于三阶段DEA方法[J].财贸经济,2011,(10):104-112.
[36] 高士亮,程可胜.对我国证券行业的管理效率研究——基于三阶段DEA 的实证分析[J].金融理论与实践,2011,(2):86-90.
[37] 朱帆,余成群,曾嵘.西藏“一江两河”地区农户生产效率分析及改进方案——基于三阶段DEA 模型和农户微观数据[J].经济地理,2011,31(7):1178-1184.
[38] Charnes A, Cooper W W, Rhodes E. Measuring the efficiency of decision making units[J]. European Journal of Operation Research,1978, 2(6): 429-444.
[39] Banker R D, Charnes A, Cooper W W. Some models for estimating technical and scale inefficiencies in data development analysis[J].Management Science, 1984, 30(9): 1078-1092.
[40] Aigner D, Lovell C A, Schmidt P. Formulation and estimation of stochastic frontier production function models[J]. Journal of Econometrics, 1977, 6(1): 21-37.
[41] Battese G E, Coelli T J. A model for technical inefficiency effects in a stochastic frontier production function for panel data[J]. Empirical Economics, 1995, 20(2): 325-332.
[42] Jondrow J, Knox Lovell C A, Materov I S, et al. On the estimation of technical inefficiency in the stochastic frontier production function model[J]. Journal of Econometrics, 1982, 19(2): 233-238.
[43] 单豪杰.中国资本存量的再估算:1952-2006[J].数量经济技术经济研究,2008(10):17-31.
[44] 徐国泉,刘则渊,姜照华.中国碳排放的因素分解模型及实证分析:1995-2004[J]. 中国人口·资源与环境,2006,16(6):158-161.
[45] Hu C, Huang X J. Characteristics of carbon emission in China and analysis on its cause[J].China Population, Resources and Environment, 2008, 18(3): 38-42.
[46] IPCC. 2006 IPCC Guidelines for National Greenhouse Gas Inventories: volume Ⅱ[EB/OL]. http://www.ipcc.ch/ipccrepaorts/Methodologyreprots.htm.