How Renewable Energy Expansion Affects Carbon Emissions from the Perspective of Spatial Correlation—Evidence in China

IF 1.9 4区社会学 Q3 ENVIRONMENTAL STUDIES

Applied Spatial Analysis and Policy Pub Date : 2025-07-22 DOI:10.1007/s12061-025-09698-8

Wenqi Wu, Ming Li, Yujia Wang, Han Huang, George Q. Huang

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Abstract

The proportion of renewable energy has increased in the context of zero-carbon targets, highlighting the need to explore its role in carbon emission reduction. This study first calculated Moran's I to assess the existence of spatial autocorrelation in carbon emissions. Next, the geographical detector method was employed to evaluate the contributions of six factors to the temporal-spatial dynamics of carbon emissions. Finally, the role of these factors in driving carbon emissions was assessed using the Spatial Durbin Model (SDM). The results indicate that carbon emissions exhibit significant spatial autocorrelation characteristics. The analysis revealed that private car ownership (q = 0.2993) emerged as the dominant driving force influencing the evolution of carbon emission patterns. Additionally, the interaction detector identified interaction links between pairs of factors as either enhanced and bivariate (EB) or enhanced and nonlinear (EN). The findings from the Spatial Durbin Model revealed an inverse U-shaped relationship between the expansion of renewable energy and carbon emission outcomes.

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中国可再生能源扩张对碳排放的影响：空间相关证据

在零碳目标的背景下，可再生能源的比例有所增加，凸显了探索其在碳减排中的作用的必要性。本研究首先通过计算Moran’s I来评估碳排放是否存在空间自相关。其次，采用地理探测器方法，评价了6个因子对碳排放时空动态的贡献。最后，利用空间德宾模型（Spatial Durbin Model， SDM）对这些因素在碳排放驱动中的作用进行了评估。结果表明，碳排放具有显著的空间自相关特征。分析表明，私家车拥有量（q = 0.2993）成为影响碳排放格局演变的主导驱动力。此外，相互作用检测器将因子对之间的相互作用联系识别为增强和双变量（EB）或增强和非线性（EN）。空间德宾模型的研究结果显示，可再生能源的扩张与碳排放结果之间呈反u型关系。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied Spatial Analysis and Policy Multiple-

CiteScore

3.80

自引率

5.30%

发文量

期刊介绍： Description The journal has an applied focus: it actively promotes the importance of geographical research in real world settings It is policy-relevant: it seeks both a readership and contributions from practitioners as well as academics The substantive foundation is spatial analysis: the use of quantitative techniques to identify patterns and processes within geographic environments The combination of these points, which are fully reflected in the naming of the journal, establishes a unique position in the marketplace. RationaleA geographical perspective has always been crucial to the understanding of the social and physical organisation of the world around us. The techniques of spatial analysis provide a powerful means for the assembly and interpretation of evidence, and thus to address critical questions about issues such as crime and deprivation, immigration and demographic restructuring, retailing activity and employment change, resource management and environmental improvement. Many of these issues are equally important to academic research as they are to policy makers and Applied Spatial Analysis and Policy aims to close the gap between these two perspectives by providing a forum for discussion of applied research in a range of different contexts Topical and interdisciplinaryIncreasingly government organisations, administrative agencies and private businesses are requiring research to support their ‘evidence-based’ strategies or policies. Geographical location is critical in much of this work which extends across a wide range of disciplines including demography, actuarial sciences, statistics, public sector planning, business planning, economics, epidemiology, sociology, social policy, health research, environmental management. FocusApplied Spatial Analysis and Policy will draw on applied research from diverse problem domains, such as transport, policing, education, health, environment and leisure, in different international contexts. The journal will therefore provide insights into the variations in phenomena that exist across space, it will provide evidence for comparative policy analysis between domains and between locations, and stimulate ideas about the translation of spatial analysis methods and techniques across varied policy contexts. It is essential to know how to measure, monitor and understand spatial distributions, many of which have implications for those with responsibility to plan and enhance the society and the environment in which we all exist. Readership and Editorial BoardAs a journal focused on applications of methods of spatial analysis, Applied Spatial Analysis and Policy will be of interest to scholars and students in a wide range of academic fields, to practitioners in government and administrative agencies and to consultants in private sector organisations. The Editorial Board reflects the international and multidisciplinary nature of the journal.