Prague Economic Papers 2022, 31(1):25-57 | DOI: 10.18267/j.pep.791
Efficiency Measurement and Inefficiency Environmental Factors of China's Green Economy
- a School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China
- b School of Business, Suqian University, Suqian, Jiangsu, China
This paper uses the projection pursuit method (PP method) to construct a comprehensive output indicator and uses the heterogeneous stochastic frontier model (HSFM model) to calculate China's green economy efficiency and analyse effects of environmental factors on the inefficiency fluctuation of green economy. Conclusions are drawn as follows: (1) The average value of China's green economy efficiency is generally low, and a regional heterogeneity of green economy efficiency is obvious. (2) For the overall inefficiency fluctuation of China's green economy, openness has a significant inhibitory effect; the industrialization level and technological level have a certain inhibitory effect, but their importance is weaker than that of openness; fiscal decentralization has an insignificant effect. Since 2001, changes in unit openness and the unit industrialization level have had a strengthened restraining effect on the inefficiency fluctuations of China's green economy, and the change in the unit technology level has had a small and stable inhibitory effect on China's green economy's inefficiency fluctuation. (3) Openness and the industrialization level have had a significant inhibitory effect on the inefficiency fluctuation of China's regional green economy in the Eastern region more than in the Central and Western regions; the technological level has had a certain inhibitory effect in the Central and Western regions, but its influence is lower than that of openness. The inhibitory effect of unit change in openness and the industrialization level on the inefficiency fluctuation of green economy in the Central region is greater than that in the Eastern region. The inhibitory effect of unit change in the technological level on the inefficiency fluctuation of green economy in the Western region is obviously greater than that in the Central and Eastern regions. These conclusions can provide a mathematical basis for a reform of China's green economy efficiency.
Keywords: Green economy, efficiency, inefficiency fluctuation, projection pursuit method (PP method), heterogeneous stochastic frontier model (HSFM model)
JEL classification: O47
Received: April 23, 2021; Revised: September 29, 2021; Accepted: November 16, 2021; Prepublished online: December 10, 2021; Published: March 1, 2022 Show citation
References
- Abdullah, H., Bakar, N. A., Jali, M. R. M., et al. (2017). The Current State of Malaysia's Journey towards a Green Economy: The Perceptions of the Companies on Environmental Efficiency and Sustainability. International Journal of Energy Economics and Policy, 7(1), 253-258. Available at: https://ideas.repec.org/a/eco/journ2/2017-04-28.html
- Bi, X., Liu, P. (2019). Research on the Influence of Environmental Regulation on the Efficiency of Green Economy in China[J]. IOP Conference Series Earth and Environmental Science, 252, 042014, https://doi.org/10.1088/1755-1315/252/4/042014
Go to original source...
- Bleischwitz, R., Yong, G., Walz, R., et al. (2018). Euro-China Green Economy theme: SINCERE (Sino-European Circular Economy and Resource Efficiency) - ESRC. Impact, 4, 6-7, https://doi.org/10.21820/23987073.2018.4.6
Go to original source...
- Chen, J., Wang, L. J., Li, Y. Y. (2020). Research on the Impact of Multi-dimensional Urbanization on China's Carbon Emissions under the Background of COP21. Journal of Environmental Management, 273, 111-123, https://doi.org/10.1016/j.jenvman.2020.111123
Go to original source...
- Chen, S., Golley, J. (2014). "Green" Productivity growth in China's Industrial Economy. Energy Economics, 44, 89-98, https://doi.org/10.1016/j.eneco.2014.04.002
Go to original source...
- Feng, J., Zhang, S. Q. (2017). Evaluation of China's Provincial Green Total Factor Productivity Based on DEA Method: Analysis on the Difference of Different Model Selection. Acta Scientiarum Naturalium Universitatis Pekinensis, 53(01), 151-159, https://doi.org/10.13209/j.0479-8023.2016.119
Go to original source...
- Guermat, C., Hadri, K. (1999). Heteroscedasticity in Stochastic Frontier Models: A Monte-Carlo Analysis. University of Exeter, Department of Economics. Discussion Papers No. 9914. Available at: https://ideas.repec.org/p/exe/wpaper/9914.html
- Hall, R. E., Jones, C. I. (1999). Why Do Some Countries Produce So Much More Output per Worker than Others? Stanford University. Stanford, CA Working Paper No. 98-007, https://doi.org/10.2139/ssrn.3595
Go to original source...
- Hu, A. J., Guo, A. J., Zhong, F. L., et al. (2018). Can High-tech Industrial Agglomeration Improve Regional Green Economy Efficiency? China Population, Resources and Environment, 28(09), 93-101, https://doi.org/10.12062/cpre.20180404
Go to original source...
- Hu, Z. Y., Li, Y., Liu, Y. W. (2017). Research on Regional Differences and Convergence of Green Technology Efficiency in China. Soft Science, 31(08), 1-4, https://doi.org/10.13956/j.ss.1001-8409.2017.08.01
Go to original source...
- Huber, P. J. (1985). Projection pursuit. Ann Statist, 13(02): 435-475, DOI: 10.1214/aos/ 1176349519
Go to original source...
- Kasayanond, A., Umam, R., Jermsittiparsert, K. (2019). Environmental Sustainability and its Growth in Malaysia by Elaborating the Green Economy and Environmental Efficiency. International Journal of Energy Economics and Policy, 9(5), 465-473, https://doi.org/10.32479/ijeep.8310
Go to original source...
- Krivorotov, V., Kalina, A., Savelyeva, A., et al. (2018). Methodological Tools for Energy Efficiency Assessment of Industrial Systems in a Context of Transition to a "Green Economy". Challenges and Solutions in the Russian Energy Sector, 19-26, https://doi.org/10.2495/978-1-78466-175-5/003
Go to original source...
- Li, L. H., Yue, Y. F. (2019). Evaluation of Green Development Efficiency in China Based on Four-stage DEA Model. Science and Technology Management Research, 39(24), 247-258, https://doi.org/10.3969/j.issn.1000-7695.2019.24.033
Go to original source...
- Lin, B. Q., Tan, R. P. (2019). Economic Agglomeration and Green Economic Efficiency in China. Economic Research Journal, 54(02), 119-132. Available at: http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=jjyj201902008
- Liu, Y. B., Yuan, H. X., Wang, Z. (2017). The Impact of Cultural Industry Agglomeration on Green Economy Efficiency: An Empirical Analysis Based on Dynamic Panel Model. Resources Science, 39(04), 747-755, https://doi.org/10.18402/resci.2017.04.15
Go to original source...
- Matraeva, L. V., Goryunova, N. A., Smirnova, S. N., et al. (2017). Methodological Approaches to Estimation of Energy Efficiency within the Framework of the Concept of Green Economy and Sustainable Development. International Journal of Energy Economics & Policy, 7(4), 231-239. Available at: https://ideas.repec.org/a/eco/journ2/2017-04-28.html
- Qian, Z. M., Liu, X. C. (2015). Environmental Regulation and Green Economic Efficiency. Statistical Research, 32(07), 12-18, https://doi.org/10.19343/j.cnki.11-1302/c.2015.07.002
Go to original source...
- Shuai, S., Fan, Z. (2020). Modeling the Role of Environmental Regulations in Regional Green Economy Efficiency of China: Empirical Evidence from Super Efficiency DEA-Tobit Model. Journal of Environmental Management, 261, 110227.1-110227.8, https://doi.org/10.1016/j.jenvman.2020.110227
Go to original source...
- Shan, H. J. (2008). A Reestimation of China's Capital Stock K: In 1952 ~ 2006. Journal of Quantitative and Technical Economics, 25(10), 17-31, https://doi.org/10.13653/j.cnki.jqte.2008.10.003
Go to original source...
- Wang, B., Liu, G. T. (2015). Research on the Dynamics of Economic Growth under the Constraints of Energy Conservation and Emission Reduction--Empirical Research Based on BDDFM. On Economic Problems, (10):7-13+39, https://doi.org/10.16011/j.cnki.jjwt.2015.10.002
Go to original source...
- Wang, H. J. (2003). A Stochastic Frontier Analysis of Financing Constraints on Investment: The Case of Financial Liberalization in Taiwan. Journal of Business & Economic Stats, 21(3), 406-419, https://doi.org/10.2139/ssrn.353640
Go to original source...
- Wang, Z. X., Zhang, H. Z., Gong, X. S., et al. (2018). Logistics Industry Agglomeration, Market Segmentation and Regional Green Economic Efficiency. Economic Survey, 35(05), 87-93, https://doi.org/10.15931/j.cnki.1006-1096.20180712.020
Go to original source...
- Yin, Q. M., Gu, Y. L. (2020). The Impact of Environmental Regulation on Green Economy Efficiency: A Threshold Model Analysis Based on the Interaction Effect of Industrial Structure. Journal of Industrial Technological Economics, 39(08), 141-147, https://doi.org/10.3969/j.issn.1004-910X.2020.08.018
Go to original source...
- Zhang, Y. H., Cheng, J. L., Cheng, Y. (2018). Study on the Influence Mechanism of Environmental Regulation on Green Economy Efficiency in China-Empirical Analysis Based on Super Efficiency Model and Spatial Panel Metering Model. Resources and Environment in the Yangtze Basin, 27(11), 2407-2418, https://doi.org/10.11870/cjlyzyyhj201811002
Go to original source...
- Zhu, D. J. The New Concept of Green Economy and the Thinking of China's Green Economy. China Population, Resources and Environment, 2012, 22(05): 40-47. DOI: 1002-2104 (2012) 05-0040-08
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