Examining Relationships between Regional Ecological Risk and Land Use Using the Granger Causality Test Applied to a Mining City, Daye, China

Kai Guo, Zhenhao He (), Xiaojin Liang, Xuanwei Chen, Renbo Luo, Tianqi Qiu and Kexin Zhang
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Kai Guo: School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China
Zhenhao He: School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China
Xiaojin Liang: Guangzhou Urban Planning & Design Survey Research Institute, Guangzhou 510060, China
Xuanwei Chen: School of Economics and Management, Tongji University, Shanghai 200092, China
Renbo Luo: School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China
Tianqi Qiu: Guangzhou Urban Planning & Design Survey Research Institute, Guangzhou 510060, China
Kexin Zhang: Map Institute of Guangdong Province, Guangzhou 510620, China

Land, 2023, vol. 12, issue 11, 1-17

Abstract: Land use changes are an important factor contributing to the increasingly severe deterioration of the ecological environment. Therefore, regional analyses of land use and ecological risk should be developed for the restoration of ecological functions. In this study, a comprehensive ecological risk assessment was constructed on a regional scale and applied to Daye, a traditional mining city in China. Cointegration analyses and Granger causality tests were used to explore the complex relationship between land use and ecological risks in the study area from 2007 to 2021. The results show a long-term and stable relationship between land use changes in different sub-regions and ecological risks, albeit with distinct Granger causality relationships. This research presents the development trend of the relationship between land use change and ecological risks in a mining city, from rapid economic growth to economic restructuring and full-region ecological governance.

Keywords: land use; ecological risk; cointegration analysis; Granger causality test (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
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