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1.北京林业大学 水土保持学院,北京 100083
2.宁夏盐池毛乌素沙地生态系统国家定位;观测研究站, 宁夏 盐池 751500
3.内蒙古财经大学 资源与环境经济学院, 内蒙古 呼和浩特 010070
Received:08 August 2024,
Revised:2025-01-13,
Published:10 June 2025
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赵晋申, 赵媛媛, 王岳, 等.中国旱区2000—2022年乡村振兴水平评估[J].水土保持通报,2025,45(3):319-330.
Zhao Jinshen, Zhao Yuanyuan, Wang Yue, et al. Assessing of rural revitalization level in China’s arid regions from 2000 to 2022 [J]. Bulletin of Soil and Water Conservation,2025,45(3):319-330.
赵晋申, 赵媛媛, 王岳, 等.中国旱区2000—2022年乡村振兴水平评估[J].水土保持通报,2025,45(3):319-330. DOI: 10.13961/j.cnki.stbctb.2025.03.006. CSTR: 32312.14.stbctb.2025.03.006..
Zhao Jinshen, Zhao Yuanyuan, Wang Yue, et al. Assessing of rural revitalization level in China’s arid regions from 2000 to 2022 [J]. Bulletin of Soil and Water Conservation,2025,45(3):319-330. DOI: 10.13961/j.cnki.stbctb.2025.03.006. CSTR: 32312.14.stbctb.2025.03.006..
目的
2
测度中国旱区2000—2022年乡村振兴水平变化特征,从多维度揭示中国旱区乡村振兴水平和各子系统的发展趋势,探讨其空间异质性与潜在形成原因,为全面推进中国旱区乡村振兴和高质量发展提供科学依据。
方法
2
从产业兴旺、生态宜居、乡风文明、治理有效、生活富裕等5个方面,构建评价指标体系,运用熵值法评估中国旱区乡村振兴水平,分析其空间分异的主导因素。
结果
2
①2022年中国旱区乡村振兴水平与全国平均水平相比相对较低,为0.343。各子系统振兴水平差异明显,其中,生态宜居水平最高;治理有效水平最低,但年增长率和增幅最大;生活富裕增速较慢,增幅最小。乡村振兴指数呈“东高西低”的分布特征,低值区比例最高,为55.10%,高值区仅占18.36%; ②中国旱区乡村振兴水平在不同气候类型区内差异明显。亚湿润干旱区乡村振兴各项指数均相对较高,半干旱区和干旱区辖区的发展潜力较大; ③不同城市类型区之间乡村振兴特征有明显差异。特大城市辖区乡村振兴各项指数均处于领先水平,超大城市辖区年增长率最高,中等城市与小城市辖区的乡村振兴水平处于落后状态,且呈现出日益扩大的态势。
结论
2
中国旱区需注重乡村区位优势与自然生态特色,因地制宜地制定精准性政策促进区域乡村发展。
Objective
2
This study aims to measure changes in rural revitalization levels in China’s arid regions from 2000 to 2022, reveal development trends in rural revitalization and its subsystems from multiple perspectives, explore spatial heterogeneity and potential causes, and provide a scientific reference for comprehensively promoting rural revitalization and high-quality development in the region.
Methods
2
An evaluation index system was constructed based on five aspects: industrial prosperity, ecological livability, rural civilization, effective governance, and affluent living. The entropy weight method was used to assess rural revitalization levels in China’s arid regions, and the dominant factors influencing spatial differentiation were analyzed.
Results
2
① In 2022, the level of rural revitalization in China’s arid regions was relatively low compared to the national average, at 0.343. Significant differences were observed across the revitalization levels of various subsystems. Among them, ecological livability had the highest level, while effective governance had the lowest level but showed the highest annual growth rate and increase. Affluent living exhibited the slowest growth and the smallest increase. The rural revitalization index displayed a distribution pattern of “higher in the east and lower in the west” with low-value areas accounting for 55.10% and high-value areas for only 18.36%. ② The level of rural revitalization in China’s arid regions varied significantly across different climate zones. The sub-humid arid zone had relatively higher rural revitalization indices, whereas the semi-arid and arid zones showed greater development potential. ③ There were notable differences in rural revitalization characteristics were observed among different city types. Megacities had the highest rural revitalization indices, whereas super-large cities exhibited the highest annual growth rate. Medium-sized and small cities lagged behind in rural revitalization, with an increasingly widening gap.
Conclusion
2
China’s arid regions should focus on leveraging their geographic advantages and natural ecological characteristics, formulating targeted policies tailored to local conditions to promote regional rural development.
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