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CDMs’ effect on environmentally sensitive productivity: evidence from Chinese provinces

Abstract

Reducing emissions and improving sustainable development are two key goals of Clean development mechanism (CDM) projects. This study employs the global Malmquist-Luenberger index to estimate environmentally sensitive productivity from 2005 to 2013 at the Chinese provincial level and investigates the impact of CDM projects on sustainable development via panel quantile regressions. The findings reveal the CDM projects significantly stimulate environmentally sensitive productivity growth while developed provinces enjoy a greater promotion in growth. This effect becomes weaker as the environmentally sensitive productivity is enhanced. CDM projects with new constructions rather than refurbished existed constructions exhibit a strong promotion effect. By considering the investment and operating costs, environmentally friendly investment policies, with a focus on cost reduction, can attract technology transfer and promote the role of CDM projects. Furthermore, carbon emission reduction requires different incentives via the optimization of different CDM project types across regions.

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Notes

  1. 1.

    We here omit \(g = \left( {g_{y} ,g_{b} } \right)\) in the DDFs to save space. That is \(D\left( {x,y,b} \right) \equiv D\left( {x,y,b;g_{y} ,g_{b} } \right)\).

  2. 2.

    Source: CEIC Database, https://www.ceicdata.com/en.

  3. 3.

    Source: China Data Online Database, https://www.china-data-online.com/.

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Appendix

Appendix

GML index estimation from 2005 to 2013 at national and provincial levels (previous year = 1).

Region 2005 2006 2007 2008 2009 2010 2011 2012 2013
China 0.998 1.018 1.031 1.049 1.013 1.039 1.081 1.032 1.010
Beijing 0.994 1.026 1.036 1.048 1.025 1.044 1.093 1.028 1.066
Tianjin 0.984 1.010 1.014 1.035 1.002 1.041 1.178 1.112 1.038
Hebei 0.998 1.007 1.008 1.012 1.004 1.006 1.008 1.012 0.999
Shanxi 1.001 1.003 1.009 1.009 1.000 1.012 1.011 1.001 1.000
Inner Mongolia 1.021 1.136 0.952 1.052 1.010 1.002 1.004 1.011 0.998
Liaoning 1.001 1.002 1.006 1.022 1.002 1.014 1.026 1.017 1.009
Jilin 0.998 1.006 1.015 1.018 1.012 1.013 1.008 1.024 1.023
Heilongjiang 0.997 0.999 1.012 1.015 1.000 1.018 1.012 1.000 1.019
Shanghai 0.988 1.019 1.024 1.064 1.060 1.117 1.139 1.013 1.062
Jiangsu 0.998 1.008 1.021 1.023 1.015 1.015 1.020 1.015 1.011
Zhejiang 0.914 1.006 1.012 1.025 1.010 1.030 1.025 1.104 1.002
Anhui 0.996 1.002 1.009 1.008 1.002 1.025 1.018 1.104 0.917
Fujian 0.989 1.011 1.004 1.027 0.999 1.029 1.001 1.130 0.945
Jiangxi 1.004 1.008 1.005 1.027 1.001 1.033 1.025 1.024 0.981
Shandong 0.982 1.012 1.010 1.019 1.010 1.013 1.019 1.002 0.978
Henan 0.989 1.004 1.009 1.022 1.007 1.009 1.012 1.107 0.958
Hubei 0.999 0.996 1.013 1.026 1.009 1.007 1.011 1.027 1.065
Hunan 1.001 1.003 1.016 1.031 1.012 1.028 1.020 1.031 1.038
Guangdong 0.993 1.015 1.022 1.034 1.006 1.022 1.014 1.120 0.954
Guangxi 1.001 1.006 1.012 1.026 0.994 1.016 1.018 1.009 1.017
Hainan 1.000 0.999 1.008 1.009 1.002 1.034 1.003 1.014 1.012
Chongqing 1.001 1.003 1.013 0.996 1.011 1.024 1.022 1.022 1.070
Sichuan 0.996 1.008 1.017 1.014 0.997 1.009 1.043 1.009 1.015
Guizhou 1.002 1.000 1.012 1.019 0.998 1.011 1.011 1.010 1.018
Yunnan 0.996 1.002 1.011 1.019 0.994 1.015 1.022 1.019 1.030
Shaanxi 0.999 1.017 1.007 1.019 0.999 1.008 1.017 1.013 1.020
Gansu 1.002 1.009 1.008 1.011 1.011 0.996 1.013 1.003 1.010
Qinghai 1.002 0.997 1.015 1.006 1.000 1.037 1.011 0.989 1.006
Ningxia 1.002 1.002 1.006 1.008 1.004 1.003 0.991 1.008 1.003
Xinjiang 0.998 1.004 1.005 1.009 0.988 1.019 1.000 0.990 0.996

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Guo, J., Yang, H. CDMs’ effect on environmentally sensitive productivity: evidence from Chinese provinces. Lett Spat Resour Sci (2021). https://doi.org/10.1007/s12076-021-00281-6

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Keywords

  • Clean development mechanism
  • Environmentally sensitive productivity
  • Global Malmquist-Luenberger index
  • Panel quantile regression

JEL Classification

  • C01
  • C61
  • Q54
  • Q56