共 128 条
Unveiling the Dynamics of Rural Revitalization: From Disorder to Harmony in China's Production-Life-Ecology Space
被引:2
作者:
Liu, Ningning
[1
]
Zhong, Qikang
[2
]
Zhu, Kai
[3
]
机构:
[1] Cent South Univ, Sch Publ Adm, Changsha 410083, Peoples R China
[2] Cent South Univ, Sch Architecture & Art, Changsha 410083, Peoples R China
[3] Hubei Univ, Fac Resources & Environm Sci, Wuhan 430062, Peoples R China
来源:
关键词:
rural management;
production-life-ecology space;
coupling coordination;
spatial and temporal evolution;
spatial Durbin model;
geographical detector model;
LAND CONSOLIDATION;
RAPID URBANIZATION;
EVOLUTION;
POLICIES;
SUSTAINABILITY;
COORDINATION;
SYSTEM;
COUNTY;
AREAS;
MODEL;
D O I:
10.3390/land13050604
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
This study utilizes provincial panel data from China spanning the period from 2011 to 2020 to assess the coupled and coordinated development of spatial functions related to production, life, and ecology (PLE) in rural areas. The assessment is based on quantifying the spatial function indices for PLE in China's rural regions. Additionally, it examines the characteristics of their spatial and temporal evolution, spatial correlation, and driving factors. The findings indicate a modest upward trend in the spatial coupling and coordination levels of these functions across rural China, although a significant proportion of provinces still exhibit a near-disordered decline. Exploratory spatial data analysis reveals a geographical disparity, with higher levels of coupled and coordinated development observed in the eastern regions, lower levels in the west, and noticeable spatial clustering. By employing the spatial Durbin model to investigate the determinants of coupling degrees, we discovered that factors such as regional economic development, urbanization, the urban-rural income gap, financial support for agriculture, science and technology investment level, and agricultural structural adjustments significantly influence the spatial coupling of rural PLE functions. Furthermore, using the geographic detector model, the analysis identifies science and technology investment level, economic development, and financial support for agriculture as key drivers influencing the spatial coupling and coordination of these functions. These findings provide valuable reference points for policies and strategies related to rural management.
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页数:28
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