Abstract
Improving green total factor productivity is an important step for China’s green transformation. By proposing a meta-frontier Malmquist Luenberger productivity indicator, this paper attempts to investigate China’s green productivity evolution and its determinants at the city level during the period of 2003–2016. Our results reveal that China has improved green productivity, and that exogenous technological change acts as the dominant force to drive the change of green productivity. Overall, the effects of technological change induced by environmental regulation (TCIER) have not been fully manifested. Further, we find significant spatial heterogeneities in TCIER: western China shows the highest contribution of TCIER to changes in green productivity, followed by central China, and the contribution is negative in eastern China, due to the region’s relatively lower growth rate in environmental regulation intensity. Nevertheless, from the perspective of evolutionary trends, the TCIER scores of all three regions exhibit upward trends during the review period, ultimately contributing positively to green productivity growth during the 12th Five-Year Plan period (2011–2015).
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Notes
For example, in 2011, the State Council abolished Chaohu in Anhui Province, and established Tongren and Bijie in Guizhou Province, and Sansha in Hainan Province.
References
Adenuga AH, Davis J, Hutchinson G, Donnellan T, Patton M (2019) Environmental efficiency and pollution costs of nitrogen surplus in dairy farms: a parametric hyperbolic technology distance function approach. Environ Resour Econ 74:1273–1298. https://doi.org/10.1007/s10640-019-00367-2
Ananda J, Hampf B (2015) Measuring environmentally sensitive productivity growth: an application to the urban water sector. Ecol Econ 116:211–219. https://doi.org/10.1016/j.ecolecon.2015.04.025
Brunnermeier SB, Cohen MA (2003) Determinants of environmental innovation in US manufacturing industries. J Environ Econ Manag 45:278–293. https://doi.org/10.1016/S0095-0696(02)00058-X
Calel R (2018) Adopt or innovate: understanding technological responses to cap-and-trade. (January 30, 2018). CESifo Working Paper Series No 6847. https://ssrn.com/abstract=3138407
Calel R, Dechezleprêtre A (2016) Environmental policy and directed technological change: evidence from the European carbon market. Rev Econ Stat 98:173–191. https://doi.org/10.1162/REST_a_00470
Cárdenas RM, Haščič I, Souchier M (2018) Environmentally adjusted multifactor productivity: methodology and empirical results for OECD and G20 countries. Ecol Econ 153:147–160. https://doi.org/10.1016/j.ecolecon.2018.06.015
Carrión-Flores CE, Innes R (2010) Environmental innovation and environmental performance. J Environ Econ Manag 59:27–42. https://doi.org/10.1016/j.jeem.2009.05.003
Chambers RG, Chung Y, Färe R (1996) Benefit and distance functions. J Econ Theory 70:407–419. https://doi.org/10.1006/jeth.1996.0096
Chen S, Golley J (2014) Green' productivity growth in China's industrial economy. Energy Economics. Energy Econ 44:89–98. https://doi.org/10.1016/j.eneco.2014.04.002
Chen L, Wang W, Wang B (2018) Environmental technology innovation caused by environmental regulation and its bias. Journal of Industrial Engineering Management 32:186–195. https://doi.org/10.13587/j.cnki.jieem.2018.01.023
Chung YH, Färe R, Grosskopf S (1997) Productivity and undesirable outputs: a directional distance function approach. J Environ Manag 51:229–240. https://doi.org/10.1006/jema.1997.0146
Cuesta RA, Lovell CAK, Zofio JL (2009) Environmental efficiency measurement with translog distance functions: a parametric approach. Ecol Econ 68:2232–2242. https://doi.org/10.1016/j.ecolecon.2009.02.001
Davidson R, Mackinnon JG (2000) Bootstrap tests: how many bootstraps? Econ Rev 19:55–68. https://doi.org/10.1080/07474930008800459
Diewert W (1976) Exact and superlative index numbers. J Econom 4:115–145. https://doi.org/10.1016/0304-4076(76)90009-9
Fare R, Grosskopf S, Noh D, Weber WL (2005) Characteristics of a polluting technology: theory and practice. J Econom 126:469–492. https://doi.org/10.1016/j.jeconom.2004.05.010
Feng Y, Wang X, Du W, Wu H, Wang J (2019) Effects of environmental regulation and FDI on urban innovation in China: a spatial Durbin econometric analysis. J Clean Prod. https://doi.org/10.1016/j.jclepro.2019.06.184
Girod B, Stucki T, Woerter M (2017) How do policies for efficient energy use in the household sector induce energy-efficiency innovation? An evaluation of European countries. Energy Policy 103:223–237. https://doi.org/10.1016/j.enpol.2016.12.054
Gollop FM, Roberts MJ (1983) Environmental regulations and productivity growth: the case of fossil-fueled electric power generation. J Political Econ 91:654–674. https://doi.org/10.1086/261170
Gray WB (1987) The cost of regulation: OSHA, EPA and the productivity slowdown. Am Econ Rev 77:998–1006. https://doi.org/10.1016/0038-0121(88)90025-0
Hashmi R, Alam K (2019) Dynamic relationship among environmental regulation, innovation, CO2 emissions, population, and economic growth in OECD countries: a panel investigation. J Clean Prod 231:1100–1109. https://doi.org/10.1016/j.jclepro.2019.05.325
Huang ZL, Zhang H, Duan HB (2019) Nonlinear globalization threshold effect of energy intensity convergence in Belt and Road countries. J Clean Prod 237:117750. https://doi.org/10.1016/j.jclepro.2019.117750
Jaffe AB, Palmer K (1997) Environmental regulation and innovation: a panel data study. Rev Econ Stat 79:610–619. https://doi.org/10.1162/003465397557196
Jaffe AB, Newell RG, Stavins RN (2005) A tale of two market failures: technology and environmental policy. Ecol Econ 54:164–174. https://doi.org/10.1016/j.ecolecon.2004.12.027
Johnstone N, Haščič I, Popp D (2010) Renewable energy policies and technological innovation: evidence based on patent counts. Environ Resour Econ 45:133–155. https://doi.org/10.1007/s10640-009-9309-1
Kneller R, Manderson E (2012) Environmental regulations and innovation activity in UK manufacturing industries. Resour Energy Econ 34:211–235. https://doi.org/10.1016/j.reseneeco.2011.12.001
Kumar S, Managi S (2009) Energy price-induced and exogenous technological change: assessing the economic and environmental outcomes. Resour Energy Econ 31:334–353. https://doi.org/10.1016/j.reseneeco.2009.05.001
Lee J, Veloso FM, Hounshell DA (2011) Linking induced technological change, and environmental regulation: evidence from patenting in the US auto industry. Res Policy 40:1240–1252. https://doi.org/10.1016/j.respol.2011.06.006
Li J, Xu B (2018) Curse or gospel: how does resource abundance affect China's green economic growth? Econ Res J 53:151–167. DOI:CNKI:SUN:JJYJ.0.2018-09-011
Mahlberg B, Luptacik M, Sahoo BK (2011) Examining the drivers of total factor productivity change with an illustrative example of 14 EU countries. Ecol Econ 72:60–69. https://doi.org/10.1016/j.ecolecon.2011.10.001
Manello A (2017) Productivity growth, environmental regulation and win–win opportunities: the case of chemical industry in Italy and Germany. Eur J Oper Res 262:733–743. https://doi.org/10.1016/j.ejor.2017.03.058
Oh D-H (2010) A global Malmquist-Luenberger productivity index. J Prod Anal 34:183–197. https://doi.org/10.1007/s11123-010-0178-y
Picazo-Tadeo AJ, Castillo-Giménez J, Beltrán-Esteve M (2014) An intertemporal approach to measuring environmental performance with directional distance functions: greenhouse gas emissions in the European Union. Ecol Econ 100:173–182. https://doi.org/10.1016/j.ecolecon.2014.02.004
Popp D (2019). Environmental policy and innovation: a decade of research. CESifo Working Paper Series. http://www.nber.org/papers/w25631
Porter ME, Van der Linde C (1995) Toward a new conception of the environment-competitiveness relationship. J Econ Perspect 9:97–118. https://doi.org/10.1257/jep.9.4.97
Rubashkina Y, Galeotti M, Verdolini E (2015) Environmental regulation and competitiveness: empirical evidence on the Porter hypothesis from European manufacturing sectors. Energy Policy 83:288–300. https://doi.org/10.1016/j.enpol.2015.02.014
Russell C (2001) Monitoring, enforcement, and the choice of environmental policy instruments. Reg Environ Chang 2:73–76. https://doi.org/10.1007/s101130100029
Simar L, Wilson PW (1998) Sensitivity analysis of efficiency scores: how to bootstrap in nonparametric frontier models. Manag Sci 44:49–61. https://doi.org/10.1287/mnsc.44.1.49
Tonka L (2015) Hydropower license renewal and environmental protection policies: a comparison between Switzerland and the USA. Reg Environ Chang 15:539–548. https://doi.org/10.1007/s10113-014-0598-8
Vardanyan M, Noh D (2006) Approximating pollution abatement costs via alternative specifications of a multi-output production technology: a case of the US electric utility industry. J Environ Manag 80:177–190. https://doi.org/10.1016/j.jenvman.2005.09.005
Wang Y, Shen N (2016) Environmental regulation and environmental productivity: the case of China. Renew Sust Energ Rev 62:758–766. https://doi.org/10.1016/j.rser.2016.05.048
Wang Y, Sun X, Guo X (2019) Environmental regulation and green productivity growth: empirical evidence on the Porter hypothesis from OECD industrial sectors. Energy Policy 132:611–619. https://doi.org/10.1016/j.enpol.2019.06.016
Wanke P, Barros CP, Emrouznejad A (2016) Assessing productive efficiency of banks using integrated fuzzy-DEA and bootstrapping: a case of Mozambican banks. Eur J Oper Res 249:378–389. https://doi.org/10.1016/j.ejor.2015.10.018
Xie RH, Yuan YJ, Huang JJ (2017) Different types of environmental regulations and heterogeneous influence on "green" productivity: evidence from China. Ecol Econ 132:104–112. https://doi.org/10.1016/j.ecolecon.2016.10.019
Yang F, Yang M (2015) Analysis on China's eco-innovations: regulation context, intertemporal change and regional differences. Eur J Oper Res 247:1003–1012. https://doi.org/10.1016/j.ejor.2015.07.029
Yang M, Yang M, Sun C (2018a) Factor market distortion correction, resource reallocation and potential productivity gains: an empirical study on China's heavy industry sector. Energy Econ 69:270–279. https://doi.org/10.1016/j.eneco.2017.11.021
Yang F, Yang M, Xue B, Luo Q (2018b) The effects of China's western development strategy implementation on local ecological economic performance. J Clean Prod 202:925–933. https://doi.org/10.1016/j.jclepro.2018.08.203
You D, Zhang Y, Yuan B (2019) Environmental regulation and firm eco-innovation: evidence of moderating effects of fiscal decentralization and political competition from listed Chinese industrial companies. J Clean Prod 207:1072–1083. https://doi.org/10.1016/j.jclepro.2018.10.106
Young A (2000) Gold into base metals: productivity growth in the People's Republic of China during the reform period. J Political Econ 111:1220–1261. https://doi.org/10.1086/378532
Yuan YN, Duan HB, Tsvetanov TG (2020) Synergizing China’s energy and carbon mitigation goals: general equilibrium modeling and policy assessment. Energy Econ 89:104787. https://doi.org/10.1016/j.eneco.2020.104787
Zhang N, Jiang X (2019) The effect of environmental policy on Chinese firm's green productivity and shadow price: a metafrontier input distance function approach. Technol Forecast Soc Change 144:129–136. https://doi.org/10.1016/j.techfore.2019.04.015
Zhang J, Wang P (2012) Total factor productivity in China: re-estimation based on provincial capital depreciation rate. Manage World 187:18–30. https://doi.org/10.19744/j.cnki.11-1235/f.2012.10.003
Zhang N, Wang B (2015) A deterministic parametric metafrontier Luenberger indicator for measuring environmentally-sensitive productivity growth: a Korean fossil-fuel power case. Energy Econ 51:88–98. https://doi.org/10.1016/j.eneco.2015.06.003
Zhang Z, Ye J (2015) Decomposition of environmental total factor productivity growth using hyperbolic distance functions: a panel data analysis for China. Energy Econ 47:87–97. https://doi.org/10.1016/j.eneco.2014.10.023
Acknowledgements
We appreciate the editor and anonymous reviewers for their valuable comments.
Funding
The study was financially supported by the National Natural Science Foundation of China (Grants No. 72073105, 71774122, 71874177, 71874064, and 72022019).
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Yang, M., Xu, J., Yang, F. et al. Environmental regulation induces technological change and green transformation in Chinese cities. Reg Environ Change 21, 41 (2021). https://doi.org/10.1007/s10113-021-01759-1
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DOI: https://doi.org/10.1007/s10113-021-01759-1