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Examining the spatiotemporal evolution, dynamic convergence and drivers of green total factor productivity in China’s urban agglomerations by Rui Feng; Chen Shen; Dandan Dai; Yaru Xin is a Economics, Econometrics and Finance article available to read on EtoBox.

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This study investigates the green total factor productivity of urban agglomerations, a high-level urban organisational form, by estimating the green total factor productivity (GTFP) of 285 cities in China from 2003 to 2017 using global data envelopment analysis and a super-slack-based measure model with undesirable output. Based on these estimations, we obtain the GTFP of 19 urban agglomerations and analyse the spatiotemporal evolution, dynamic evolution of spatial distribution, and regional differences in the urban agglomeration GTFP using various analytical tools such as the Dagum Gini coefficient, subgroup decomposition, σ and β convergence analysis, and kernel density estimation. Additionally, we identify and analyse the driving factors of GTFP growth in urban agglomerations by employing a panel model from the perspective of improving the efficiency of cities within urban agglomerations and optimising the development of intercity industrial and spatial structures. The results are as follows: First, the GTFP of urban agglomerations generally exhibit a fluctuating upward trend with low values in northwest-central China and high values in the north-southeastern coastal areas. Seco

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Author

Rui Feng; Chen Shen; Dandan Dai; Yaru Xin

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Economics, Econometrics and Finance (Social Sciences)