Spatial Correlation and Spatial Clustering of Clean Energy Technology Innovation and Carbon Emission Intensity in China: An Exploratory Spatial Analysis

Xuefei Hong () and Dengli Tang ()
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Xuefei Hong: Guangdong University of Finance
Dengli Tang: Guangdong University of Finance and Economics

A chapter in Proceedings of the 2025 7th International Conference on Economic Management and Cultural Industry (ICEMCI 2025), 2025, pp 624-630 from Springer

Abstract: Abstract This paper examines the spatial pattern of CTI(clean energy technology innovation) and carbon intensity by Exploratory Spatial Data Analysis tools(ESDA). It uses global and local indices to study the spatial correlation and agglomeration characteristics of China’s clean energy technology innovation and carbon emission intensity. The results indicate that: (1) There is a spatial autocorrelation present in the interprovincial CTI and carbon intensity across China; (2) Clean energy technology innovation and carbon emission demonstrate a spatial agglomeration effect. This study investigates the spatial clustering characteristics of clean energy technology innovation, providing a scientific basis for promoting regional clean energy development.

Keywords: Clean Energy Technology Innovation; Carbon Intensity; Exploratory Spatial Data Analysis Tools(ESDA); Spatial Clustering; Spatial Correlation (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-888-2_60

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DOI: 10.2991/978-94-6463-888-2_60

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