Green productivity, deduction performance, and abatement cost for the industry in China

Wu Yingzi; Wen Yuechun

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Science Research Management ›› 2013 ›› Issue (2) : 105-111,151.

Green productivity, deduction performance, and abatement cost for the industry in China

Wu Yingzi, Wen Yuechun

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Abstract

Based on direction distance function with Sequential Malmquist-Luenberger (SML) index and Data Envelopment Analysis (DEA) respectively, the green productivity and abatement cost for the industry in China from the year of 1995 to 2009 are estimated. Then the effect factors of deduction performance and abatement cost with their industrial differences are discussed by a panel data estimation model. The results show that green productivity has declined after increased at the beginning and is driven by the progress in green technology. Abatement cost presents a fluctuant increase trend and is quite high in the industry with low carbon emissions intensity. Green productivity promotes deduction performance increase, the progress in green technology has the most effect on the deduction of the industry with low carbon emissions intensity, and green technical efficiency has the most impact on the industry with high carbon emissions intensity. Green productivity has insignificant effect on abatement cost. Energy consumption structure optimization is able to play a great role in abatement cost reduction in the industry with high carbon emissions intensity, and labor capital replacement is able to facilitate abatement cost reduction in the industry with low carbon emissions intensity.

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industry / green productivity / deduction performance / abatement cost

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Wu Yingzi, Wen Yuechun. Green productivity, deduction performance, and abatement cost for the industry in China[J]. Science Research Management. 2013(2): 105-111,151

References

[1] Ramanathan R. Combining indicators of energy consumption and CO2 emissions: a cross-country comparison [J]. International Journal of Global Energy.2002, 17(3): 214-227.
[2] Kumar S. Environmentally sensitive productivity growth: a global analysis using Malmquist-Luenberger index [J]. Ecological Economics.2006, 56 (2): 280-293.
[3] 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.
[4] Shestalova V. Sequential Malmquist indices of productivity growth: an application to OECD industrial activities [J]. Journal of Productivity Analysis.2003, 19 (2):211-226.
[5] Oh D., Heshmati A. A sequential malmquist-luenberger productivity index: environmentally sensitive productivity growth considering the progressive nature of technology [J]. Energy Economics.2010, 32(9): 1345-55.
[6] Tulkens, H., Vanden Eeckaut P. Non-parametric efficiency, progress and regress measures for panel data: methodological aspects [J]. European Journal of Operational Research.1995, 80 (3), 474-499.
[7] F re R., Grosskopf S., Pasurka Jr C.A. Environmental production functions and environmental directional distance functions [J]. Energy.2007, 32 (7):1055-1066.
[8] 尤建新,陈震,张玲红,马军杰.我国连续性全要素CO2排放绩效空间差异及成因研究—基于sequential Malmquist-Luenberger指数分析[J].预测.2012,31(2):57-61.You Jianxin,Chen Zhen, Zhang Linghong, Ma Junjie. Spatial difference and causes research on continuous total factor CO2 emission performance in China—Based on Sequential Malmquist-Luenberger index analysis[J]. Forecasting.2012, 31(2): 57-61.
[9] Bosetti V., Carraro C., Galeotti M. The dynamics of carbon and energy intensity in a model of endogenous technical change [J]. The Energy Journal.2006, 0(Special I):191-206.
[10] Cole M.A, Elliott R.J.R., Wu S.S. Industrial activity and the environment in China: An industry-level analysis [J]. China Economic Review.2008, 19(3):393-408.
[11] 姚西龙,于渤. 技术进步、结构变动与工业二氧化碳排放研究[J]. 科研管理.2012,33(8):35-40.Yao Xilong, Yu Bo. Technical progress, structure change and carbon dioxide emissions of industry[J]. Science Research Management.2012, 38(8): 35-40.
[12] 何小钢,张耀辉.技术进步、节能减排与发展方式转型—基于中国工业行业36个行业的实证考察[J].数量经济技术经济研究.2012,29(3):19-33.He Xiaogang, Zhang Yaohui. Technology progress, energy save and emission reduce and development pattern transformation[J]. The Journal of Quantitative & Technical Economics.2012, 29(3):19-33. (in Chinese)
[13] Gerlagh R. Measuring the value of induced technological change [J]. Energy Policy.2007, 35(11):5287- 97.
[14] Weber T.A., Neuhoff K. Carbon markets and technological innovation [J].Journal of Environmental Economics and Management.2010, 60 (2): 115-132.
[15] F re R., Grosskopf S., Knox Lovell C.A., Yaisawarng S. Derivation of shadow prices for undesirable outputs: a distance function approach [J].Review of Economics and Statistics.1993, 75(2):374-380.
[16] Lee M. The shadow price of substitutable sulfur in the US electric power plant: a distance function approach [J]. Journal of Environmental Management.2005, 77(2): 104- 110.
[17] F re R., Grosskopf S., Weber W.L. Shadow prices and pollution costs in US agriculture [J]. Ecological Economics.2006, 56(1): 89-103.
[18] 陈诗一.工业二氧化碳的影子价格:参数化和非参数化方法[J].世界经济.2010,384(8):93-111.Chen Shiyi. Shadow price of industrial carbon dioxide: parametric and non-parametric approach [J]. The Journal of World Economy.2010, 384(8): 93-111.
[19] 刘明磊,朱磊,范英.我国省级碳排放绩效评价及边际减排成本估计:基于非参数距离函数方法[J].中国软科学.2011,243(3):106-114.Liu Minglei, Zhu Lei, Fan Ying. Evaluation of carbon emission performance and estimation of marginal CO2 abatement costs for provinces of China: a non-parametric distance function approach [J]. China Soft Science. 2011, 243(3): 106-114.
[20] Boyd G., Molburg J.C., Prince R. Alternative methods of marginal abatement cost estimation: nonparametric distance functions [C]. Proceedings of the USAEE/IAEE 17th Conference.1996, 86-95.
[21] 林伯强,蒋竺均.中国二氧化碳的环境库兹涅茨曲线预测及影响因素分析 [J]. 管理世界.2009,187(4):27-36.Lin Baiqiang, Jiang Zhujun. A forecast for China’s environmental kuznets curve for CO2 emission, and an analysis of the factors affecting China’s CO2 emission [J]. Management World.2009, 187(4): 27-36.
[22] 陶长琪,齐亚伟.中国全要素生产率的空间差异及其成因分析[J]. 数量经济技术经济研究.2010,27(1):19-32.Tao Changqi, Qi Yawei. Spatial difference and causes analysis of total factor productivity in China [J]. The Journal of Quantitative & Technical Economics.2010, 27(1):19-32.
[23] Jefferson G., Rawski T., Zhang Y. Productivity growth and convergence across China’s industrial economy [J]. Journal of Chinese Economic and Business Studies.2008, 6(2): 121-140.
[24] 涂正革. 环境、资源与工业增长的协调性[J]. 经济研究.2008,43(2):93-105.Tu Zhengge. The coordination of industrial growth with environment and resource [J]. Economic Research Journal.2008, 43(2): 93-105.
[25] Ma Chunbo, Stern D.I. China’s changing energy intensity trend: A decomposition analysis [J]. Energy Economics.2008, 30(3): 1037-53.
[26] 涂正革.工业二氧化硫 (SO2)的影子价格:一个新的研究框架 [J]. 经济学(季刊).2010,9(1):259-282.Tu Zhengge. The shadow price of industrial SO2 emission: a new analytic framework [J]. China Economic Quarterly.2010, 9(1): 259-282.