Spatiotemporal Characteristics and Influencing Factors of Renewable Energy Production Development in Ningxia Hui Autonomous Region, China (2014–2021)

Xiao Ma, Yongchun Yang () and Huazhang Zhu
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Xiao Ma: College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
Yongchun Yang: College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
Huazhang Zhu: Ningxia Academy of Environmental Sciences, Yinchuan 750021, China

Land, 2025, vol. 14, issue 4, 1-26

Abstract: Promoting the development of low-carbon renewable energy is crucial for meeting the growing energy demand, reducing dependence on fossil fuels, and controlling carbon dioxide emissions. Clarifying the spatiotemporal characteristics of regional renewable energy production and its influencing factors will help optimize the spatial layout of renewable energy production and provide a solid theoretical basis for coordinating the development of all aspects of renewable energy production. Using panel data from 22 districts and counties in Ningxia from 2014 to 2021, this study employed the spatial Gini coefficient, Moran’s I index, standard deviational ellipse, and geographical detector to analyze the spatiotemporal evolution patterns and influencing factors of renewable energy production development in Ningxia. The results indicate that renewable energy production in Ningxia exhibits significant spatial agglomeration and autocorrelation. Temporally, renewable energy production shows a spatial expansion trend characterized by dynamic agglomeration patterns. The coupling degree between renewable energy generation and the spatial distribution of power production is relatively high, with notable regional disparities. Urbanization level, urban population, per capita GDP, and industrial SO 2 emissions have a positive impact on renewable energy production, while energy intensity and environmental regulation show insignificant effects. To further promote the development of renewable energy, Ningxia should strengthen power infrastructure construction at the county level, enhance the radiating and driving effects of high-value areas on surrounding cities and counties, optimize the spatial layout of power facilities based on the agglomeration trajectories of renewable energy production, integrate multiple types of renewable energy to improve overall generation efficiency and system stability, and encourage local enterprises to increase technological and economic investments in renewable energy, thereby advancing sustainable energy transition and achieving high-quality development in resource-based regions.

Keywords: renewable energy production; spatiotemporal evolution characteristics; influencing factors; Ningxia Hui Autonomous Region (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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