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

DOI

10.2991/978-94-6463-888-2_60How to use a DOI?

Keywords

Clean Energy Technology Innovation; Carbon Intensity; Exploratory Spatial Data Analysis Tools(ESDA); Spatial Clustering; Spatial Correlation

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.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xuefei Hong
AU  - Dengli Tang
PY  - 2025
DA  - 2025/12/03
TI  - Spatial Correlation and Spatial Clustering of Clean Energy Technology Innovation and Carbon Emission Intensity in China: An Exploratory Spatial Analysis
BT  - Proceedings of the 2025 7th International Conference on Economic Management and Cultural Industry (ICEMCI 2025)
PB  - Atlantis Press
SP  - 624
EP  - 630
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-888-2_60
DO  - 10.2991/978-94-6463-888-2_60
ID  - Hong2025
ER  -