Rethinking Regional High-Quality Development Pathways from a Carbon Emission Efficiency Perspective

Chao Wang, Yuxiao Kong, Xingliang Lu, Hongyi Xie, Yanmin Teng and Jinyan Zhan ()
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Chao Wang: School of Labor Economics, Capital University of Economics and Business, Beijing 100070, China
Yuxiao Kong: State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
Xingliang Lu: State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
Hongyi Xie: Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
Yanmin Teng: Research Center for Eco-Environmental Engineering, Dongguan University of Technology, Dongguan 523808, China
Jinyan Zhan: State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China

Land, 2024, vol. 13, issue 9, 1-18

Abstract: Optimizing resource efficiency and mitigating climate change have become consensuses of human society. However, there is still a gap in assessing the carbon emission efficiency (CEE) and identifying the influence of various factors, especially in rapid urbanizing regions. In this paper, we built a stochastic frontier analysis model to assess CEE and conducted a case study in the Beijing–Tianjin–Hebei Urban Agglomeration (BTHUA), a typical area of collaborative development in China. A comprehensive influencing factor index was constructed to analyze and identify the key influencing factors of CEE. The results revealed that the average CEE among the 13 cities increased in volatility from 2000 to 2019. The average CEE in Langfang was lowest, while that in Tangshan was highest. The input-related factors had a negative effect on CEE, including carbon emissions per capita, employment per ten thousand people, total assets per capita, and energy intensity. GDP per capita, the urbanization level, and the proportion of the tertiary sector’s GDP had positive impacts on CEE. Future policy formulation should focus on the transition from labor- and material-intensive industries to knowledge- and technology-intensive industries. All the results can contribute to achieving high-quality development and dual-carbon target of rapid-urbanizing areas.

Keywords: carbon emission efficiency; carbon reduction; influencing factor; stochastic frontier analysis; urban agglomeration; Beijing–Tianjin–Hebei (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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