Spatio-temporal pattern evolution and spatial convergence of greenhouse gas emission efficiency in China's cities: analyses based on exploratory spatial data analysis and spatial econometric models
by Kaifeng Wang; Dalei Wu; Junyu Li
International Journal of Global Warming (IJGW), Vol. 33, No. 4, 2024

Abstract: This paper integrates greenhouse gas (GHG) emissions into the emission efficiency (GEE) index using data envelopment analysis (DEA) and dynamically explores GEE's spatial heterogeneity, correlation, and convergence, offering evidence and insights for optimising China's spatial pattern of GHG emission reduction. Findings indicate that GEE in the 285 sample cities grew by 18% on average during 2004-2018. East-west spatial heterogeneity and positive spatial autocorrelation of GEE progress are evident, and high-high clustering areas of the GEE index gradually shift eastward. GEE displays significant conditional β-convergence, emphasising the need for tailored emission reduction strategies, considering economic and social differences among cities.

Online publication date: Tue, 09-Jul-2024

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