The Application of Spatial Econometrics in Carbon Emission Research: A Systematic Literature Review

Xiaohang Ren, Yan Cheng (), Zudi Lu (), Niki Naderi () and Ya Xiao
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Yan Cheng: Business School, Central South University, Changsha 410083, P. R. China
Zudi Lu: Department of Biostatistics, City University of Hong Kong, Kowloon, Hong Kong
Niki Naderi: Islamic Azad University, Tehran 1477893780, Iran
Ya Xiao: Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai 200030, P. R. China

Journal of Environmental Assessment Policy and Management (JEAPM), 2025, vol. 27, issue 01, 1-26

Abstract: Since the global transition into the industrial era, the rapid economic growth has been accompanied by massive energy consumption, leading to a dramatic increase in global carbon emissions and severe ecological damage, which poses significant threats to human existence and economic development. To formulate effective carbon reduction policies, extensive research has been conducted on carbon emissions. Given the significant spatial spillover effects of carbon emissions, spatial econometric models can provide more accurate modelling and analysis in this area. As a result, spatial econometric methods have been widely applied in the study of carbon emissions. This paper systematically summarises the key achievements of spatial econometrics in the field of carbon emissions, including the spatial distribution and evolutionary characteristics of carbon emissions, their influencing factors, and the integration of spatial econometric models with other methodologies. Based on the existing research, the paper highlights the limitations of the current spatial econometric models in the field of carbon emissions, such as issues for model improvement, data quality, regional heterogeneity and dynamic characteristics of carbon emissions, policy limitations, and insufficient interdisciplinary collaboration as well as methodological integration. Finally, we provide an outlook for future research, focussing on addressing the relevant issues and expanding the global perspective regarding regional carbon emissions.

Keywords: Carbon emissions; spatial econometric models; spatial spillover effects; regional correlation (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1142/S1464333225300019

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