Industrial Carbon Emission Efficiency of Cities in the Pearl River Basin: Spatiotemporal Dynamics and Driving Forces

Hongtao Jiang, Jian Yin, Yuanhong Qiu, Bin Zhang, Yi Ding and Ruici Xia
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Hongtao Jiang: Western Modernization Research Center, Guizhou University of Finance and Economics, Guiyang 550025, China
Jian Yin: Western Modernization Research Center, Guizhou University of Finance and Economics, Guiyang 550025, China
Yuanhong Qiu: Western Modernization Research Center, Guizhou University of Finance and Economics, Guiyang 550025, China
Bin Zhang: Western Modernization Research Center, Guizhou University of Finance and Economics, Guiyang 550025, China
Yi Ding: Western Modernization Research Center, Guizhou University of Finance and Economics, Guiyang 550025, China
Ruici Xia: Western Modernization Research Center, Guizhou University of Finance and Economics, Guiyang 550025, China

Land, 2022, vol. 11, issue 8, 1-22

Abstract: In the context of green and high-quality development, effectively enhancing industrial carbon emission efficiency is critical for reducing carbon emissions and achieving sustainable economic growth. This study explored this research area using three models: the super-efficient SBM model was used to measure the industrial carbon emission efficiency of 48 cities in the Pearl River Basin from 2009 to 2017; the exploratory spatiotemporal data analysis method was used to reveal the spatiotemporal interaction characteristics of industrial carbon emission efficiency; and the geographical detectors and geographically weighted regression model were employed to explore the influencing factors. The results are as follows: (1) The Pearl River Basin’s industrial carbon emission efficiency steadily increased from 2009 to 2017, with an average annual growth rate of 0.18 percent, but the industrial carbon emission efficiency of some sites remains low; (2) The local spatiotemporal pattern of industrial carbon emission efficiency is solitary and spatially dependent; (3) The spatial variation of industrial carbon emission efficiency is influenced by a number of factors, including the industrialization level, openness to the outside world, the science and technology level, energy consumption intensity, and productivity level, with the productivity level, industrialization level, and openness to the outside world being the most important. Among these factors, the productivity level, science and technology level, openness to the outside world, and industrialization level all have a positive correlation with industrial carbon emission efficiency, but energy consumption intensity has a negative correlation. This study provides an integrated framework using exploratory spatiotemporal analysis and geographically weighted regression to examine carbon emission efficiency among cities. It can serve as a technical support for carbon reduction policies in cities within the Pearl River Basin, as well as a reference for industrial carbon emission studies of other regions of the world.

Keywords: industrial carbon emission efficiency; super-efficient SBM model; exploratory spatiotemporal data analysis; space–time transition; the geographical detectors; geographically weighted regression model; Pearl River Basin (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:11:y:2022:i:8:p:1129-:d:869666

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