Measuring environment-biased technological progress considering energy saving and emission reduction

Abstract This study proposes a mathematical definition of environment-biased technological progress that can evaluate energy saving and emission reduction abilities. Further, it proposes the concepts of absoluteness and relativity, while extending the classical non-radial slack-based measure in order to establish an advanced slack-based measure model. In addition, a super-efficiency advanced slack-based measure model is set up to test the effectiveness and growth rate of environment-biased technological progress in China. Finally, with China entering a new normal since 2012, economic growth data for 1890 coal production enterprises for 2012–2014 are collected to measure the conditions of environment-biased technological progress in each location and registration type. The results indicate that, compared to existing methods, the proposed method is useful and universally applicable.

[1]  Malin Song,et al.  Review of hidden carbon emissions, trade, and labor income share in China, 2001–2011 , 2014 .

[2]  Peter Bogetoft,et al.  Estimating the Potential Gains from Mergers , 2005 .

[3]  P. Aghion,et al.  The Environment and Directed Technical Change , 2009, The American economic review.

[4]  Hong Huang,et al.  The measurement of undesirable output based-on DEA in E&E: Models development and empirical analysis , 2013, Math. Comput. Model..

[5]  Malin Song,et al.  Environmental Efficiency Evaluation of China Based on a Kind of Congestion and Undesirable Output Coefficient , 2015 .

[6]  George Emm. Halkos,et al.  A conditional directional distance function approach for measuring regional environmental efficiency: Evidence from UK regions , 2013, Eur. J. Oper. Res..

[7]  Malin Song,et al.  A two-stage DEA approach for environmental efficiency measurement , 2014, Environmental Monitoring and Assessment.

[8]  Rolf Färe,et al.  Productivity Change Under an Individual Transferable Quota Management System , 2012 .

[9]  Shiyi Chen Environmental pollution emissions, regional productivity growth and ecological economic development in China , 2015 .

[10]  Kaoru Tone,et al.  A slacks-based measure of super-efficiency in data envelopment analysis , 2001, Eur. J. Oper. Res..

[11]  P. Driessen,et al.  Public participation in environmental impact assessment: why, who and how? , 2013 .

[12]  Rolf Färe,et al.  Productivity and Undesirable Outputs: A Directional Distance Function Approach , 1995 .

[13]  Yudi Fernando,et al.  The impact of eco-innovation drivers on environmental performance: Empirical results from the green technology sector in Malaysia , 2017 .

[14]  Arminda M. Finisterra do Paço,et al.  Identifying the green consumer: A segmentation study , 2009 .

[15]  Hengyun Ma,et al.  China's Energy Economy: Technical Change, Factor Demand and Interfactor/Interfuel Substitution , 2008 .

[16]  Ming-Miin Yu,et al.  Total factor productivity growth and directions of technical change bias: evidence from 99 OECD and non-OECD countries , 2014, Ann. Oper. Res..

[17]  D. Acemoglu Labor- and Capital- Augmenting Technical Change , 2000 .

[18]  Zibin Zhang,et al.  Decomposition of environmental total factor productivity growth using hyperbolic distance functions: A panel data analysis for China , 2015 .

[19]  D. Acemoglu Equilibrium Bias of Technology , 2005 .

[20]  David Popp,et al.  Entice: Endogenous Technological Change in the Dice Model of Global Warming , 2003 .

[21]  Edwin van der Werf,et al.  Production Functions for Climate Policy Modeling: An Empirical Analysis , 2008 .

[22]  B. W. Ang,et al.  Measuring environmental performance under different environmental DEA technologies , 2008 .

[23]  C. Lovell,et al.  The Decomposition of Malmquist Productivity Indexes , 2003 .

[24]  P. Aghion,et al.  Carbon Taxes, Path Dependency, and Directed Technical Change: Evidence from the Auto Industry , 2012, Journal of Political Economy.

[25]  Anthony Thirlwall,et al.  Technical Progress: A Survey , 1972 .

[26]  D. Acemoglu Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality , 1998 .

[27]  Shunsuke Managi,et al.  Input and output biased technological change in US agriculture , 2004 .

[28]  Richard G. Richels,et al.  The Attached Material Is Posted on Regulation2point0.org with Permission. the Impact of Learning-by-doing on the Timing and Costs of Co 2 Abatement the Impact of Learning-by-doing on the Timing and Costs of Co 2 Abatement , 2022 .

[29]  Shunsuke Managi,et al.  Energy Price Induced and Exogenous Technological Changes: Assessing Economic and Environmental Outcomes , 2008 .

[30]  D. Acemoglu Directed Technical Change , 2001 .

[31]  Heinz Welsch,et al.  The determinants of aggregate energy use in West Germany: factor substitution, technological change, and trade , 2005 .

[32]  Omer Tatari,et al.  Life cycle based multi-criteria optimization for optimal allocation of commercial delivery truck fleet in the United States , 2016 .

[33]  Brett Cohen Modelling approaches for greenhouse gas emissions projections from the waste sector , 2017 .

[34]  Malin Song,et al.  Can employment structure promote environment-biased technical progress? , 2016 .

[35]  W. B. Liu,et al.  DEA models with undesirable inputs and outputs , 2010, Ann. Oper. Res..

[36]  S. Grosskopf,et al.  PRODUCTIVITY GROWTH IN APEC COUNTRIES , 1996 .

[37]  Shouyang Wang,et al.  Measuring efficiencies of multi-period and multi-division systems associated with DEA: An application to OECD countries' national innovation systems , 2016, Expert Syst. Appl..

[38]  D. Acemoglu,et al.  Transition to Clean Technology , 2014, Journal of Political Economy.

[39]  Mohd Bakri Ishak,et al.  Optimal selection of Iron and Steel wastewater treatment technology using integrated multi-criteria decision-making techniques and fuzzy logic , 2017 .

[40]  Substitution between energy, capital and labour within industrial companies : A micro panel data analysis , 2007 .

[41]  Daron Acemoglu,et al.  Offshoring and Directed Technical Change , 2012 .

[42]  Hengyun Ma,et al.  Substitution possibilities and determinants of energy intensity for China , 2009 .