Search

Research on the Characteristics and Equilibrium of Ecological Efficiency in Guangdong Province

Author(s)

Xiaona Li

Affiliation(s)

Heyuan Polytechnics, Heyuan, Guangdong, China

Abstract

DEA-Malmquist index model is used to measure the ecological efficiency of Guangdong province, and to investigate the spatial and temporal evolution characteristics and regional development imbalance of ecological efficiency in 21 cities. The global Moran index results show that the global correlation of ecological efficiency in all cities in Guangdong is high from 2003 to 2021. The results of Dagum-Gini coefficient show that there are obvious differences in ecological efficiency in “One Core, One Area and Three Regions”. Further analysis shows that the unbalanced development of ecological efficiency in the province mainly comes from the development differences between regions. Finally, the reasons and policy factors of the unbalanced development of ecological efficiency are analyzed.

Keywords

Dagum-Gini Coefficient; Ecological Efficiency; DEA Model

References

[1] Charnes A, Cooper W W, Rhodes E. A Data Envelopment Analysis Approach to Evaluation of the Program Follow through Experiment in U. S. Public School Education. [J]. 1978. [2] Zhang J, Liu Y, Chang Y, et al. Industrial eco-efficiency in China: A provincial quantification using three-stage data envelopment analysis [J]. Elsevier, 2017. DOI:10.1016/j. jclepro. 2016.12.123. [3] Zhang Renjie, Dong Huizhong. Spatio-temporal evolution and influencing factors of industrial ecological efficiency in China based on provincial scale [J]. Economic geography, 2020, 40(7):10. DOI:10.15957/j. cnki. jjdl. 2020.07.014. [4] Chen Minghua, Yue Haijun, Hao Yunfei, et al. Spatial differences, dynamic evolution and driving factors of ecological efficiency in the Yellow River Basin [J]. Quantitative Economic and Technical Economic Research, 2021, 38(9):20. [5] Jiang Shuoliang, Pan Yuzhi. Analysis of the spatial and temporal differences and influencing factors of industrial ecological efficiency in urban agglomerations along the Yangtze River Economic Belt [J]. Statistics and Decision-making, 2021(9):51-54. [6] Wang Yantao, Zhang Yaya. Regional differences of ecological efficiency and their spatial spillover effect of interaction with industrial structure upgrading [J]. Geographic Sciences, 2020, 40(8):9. DOI:10.13249/j. cnki. sgs. 2020.08.006. [7] Zhen Zhang. Spatio-temporal evolution characteristics analysis of regional industrial ecological efficiency in China in the new period [J]. Economic problem exploration, 2020(1):10. DOI:CNKI:SUN:JJWS. 0.2020-01-009. [8] Yu Wei, Zhang Peng, Ji Zhiheng. Efficiency of regional differences, distribution dynamics and convergence of urban agglomerations in China [J]. Quantitative, economic, Technical and economic Research, 2021. [9] Li Jinkai, Ma Jingjing, Wei Wei. Study on regional differences in energy carbon emission efficiency in eight comprehensive economic zones in China [J]. Quantitative, economic, technical and economic research, 2020, 37(6):21. DOI:CNKI:SUN:SLJY. 0.2020-06-006. [10] Malmquist S. Index numbers and indifference surfaces [J]. Trabajos De Estadistica, 1953, 4(2):209-242. DOI:10.1007/BF03006863. [11] Liu Huajun, Zhao Hao. Analysis of regional differences in CO dioxide emission intensity in China [J]. Statistical study, 2012(6):5. DOI:10.3969/j. issn. 1002-4565.2012.06.007. [12] Chen Minghua, Liu Huajun, Sun Yanan, et al. Spatial differences and spillover effects of the economic development of the five major urban agglomerations in China [J]. Research on Urban Development, 2016, 23(3):7. DOI:10.3969/j. issn. 1006-3862.2016.03.009. [13] Chen Jinghua. Regional difference decomposition and influencing factors of OFDI sources in China-Empirical study based on interprovincial panel data from 2003 to 2011 [J]. Quantitative, economic, technical and economic research, 2014(07):22-38. DOI:CNKI:SUN:SLJY. 0.2014-07-002. [14] Zhang Hu, Zhou Di. Regional gap and convergence evolution of regional innovation level from the perspective of innovation value chain-Empirical research based on Dagum Gini coefficient decomposition and spatial Markov chain [J]. Research and Development Management, and 2016, 28(6):13. DOI:10.13581/j. cnki. rdm. 20160518.001. [15] Li Shenglan, early good Bing, Shen Chen. Local government competition, environmental regulation and regional ecological efficiency [J]. the world economy, the 2014(4):23. DOI:CNKI:SUN:SJJJ. 0.2014-04-006. [16] Jiao Guowei, Feng Jianchao. Environmental regulation and improvement of Urban ecological efficiency in China-Analysis based on spatial measurement model [J]. Industrial technology and economy, and 2019, 38(5):9. DOI:CNKI:SUN:GHZJ. 0.2019-05-018. [17] Shao Wei, Jin Zebin, Chen Ziqi. Study on the spatial effect of environmental regulation on regional ecological efficiency: the regulating effect based on financial decentralization [J]. Financial theory series, 2023(6):103-112. [18] Cheng Jinhua. Research report on Ecological Civilization Construction and Green Development in Hubei Province. Volume 6 [M]. China University of Geosciences Press, 2021.