Spatial Association Network of Land-Use Carbon Emissions in Hubei Province: Network Characteristics, Carbon Balance Zoning, and Influencing Factors

Yong Huang (), Zhong Wang (), Heng Zhao, Di You, Wei Wang and Yanran Peng
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Yong Huang: School of Public Administration, China University of Geosciences, Wuhan 430074, China
Zhong Wang: School of Public Administration, China University of Geosciences, Wuhan 430074, China
Heng Zhao: School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China
Di You: School of Business Administration and Tourism Management, Yunnan University, Kunming 650500, China
Wei Wang: School of Public Administration, China University of Geosciences, Wuhan 430074, China
Yanran Peng: School of Public Administration, China University of Geosciences, Wuhan 430074, China

Land, 2025, vol. 14, issue 7, 1-31

Abstract: Understanding the spatial association network structure and carbon balance zoning of land-use carbon emissions (LUCEs) is essential for guiding regional environmental management. This study constructs a LUCE spatial association network for Hubei Province using a modified gravity model to uncover the spatial linkages in carbon emissions. Carbon balance zones are delineated by integrating LUCE network characteristics with economic and ecological indicators. To further examine the network dynamics, link prediction algorithms are employed to anticipate potential emission connections, while quadratic assignment procedure (QAP) regression analyzes how intercity differences in socioeconomic, ecological, and land-use attributes influence LUCE connectivity. The results reveal a pronounced core–periphery structure, with potential carbon spillover pathways extending toward both eastern and western cities. Based on the carbon balance analysis, six functional zones are identified, each aligned with targeted collaborative mitigation strategies. The QAP results indicate that intercity differences in innovation capacity, industrial structure, and economic development are positively associated with the formation of LUCE spatial networks, whereas disparities in urbanization level, government expenditure, and construction land use are negatively associated with LUCE connectivity. This study provides a differentiated governance framework to address the dual challenges of carbon emissions and land-use transformation in agro-urban regions.

Keywords: land-use carbon emissions; social network analysis; link prediction; carbon balance zoning; influence factors (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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