Coupling Coordination and Driving Mechanisms of Regional Protection and Development in Traditional Villages of the Loess Hilly and Gully Region, Northern Shaanxi Province DOI Open Access
Yujie Ren, Weiwei Zhao, Yuhan Zhang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(23), P. 10554 - 10554

Published: Dec. 2, 2024

With the rapid urbanization in China, traditional villages are undergoing simultaneous construction and destruction, making it crucial to scientifically balance protection development of these villages. The Loess Hilly Area Northern Shaanxi, one most severely eroded regions world, was chosen as study area. Socio-economic, land use, natural ecological data from 152 this area were analyzed. First, an evaluation model developed assess comprehensive level Next, a coupling coordination spatial autocorrelation employed measure distribution development. Finally, influence combined with geographically weighted regression reveal driving mechanisms promoting between results indicate that (1) levels exhibit contrasting patterns “high east low west” west east”, respectively; (2) nearly half show development, few counties districts achieving better coordination; (3) variation is influenced by regional economic capacity, social resource endowment, policy inclination, various factors influencing different ways. This helps further elucidate relationship provides valuable references for other ecologically fragile areas.

Language: Английский

Coupling Coordination and Driving Mechanisms of Regional Protection and Development in Traditional Villages of the Loess Hilly and Gully Region, Northern Shaanxi Province DOI Open Access
Yujie Ren, Weiwei Zhao, Yuhan Zhang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(23), P. 10554 - 10554

Published: Dec. 2, 2024

With the rapid urbanization in China, traditional villages are undergoing simultaneous construction and destruction, making it crucial to scientifically balance protection development of these villages. The Loess Hilly Area Northern Shaanxi, one most severely eroded regions world, was chosen as study area. Socio-economic, land use, natural ecological data from 152 this area were analyzed. First, an evaluation model developed assess comprehensive level Next, a coupling coordination spatial autocorrelation employed measure distribution development. Finally, influence combined with geographically weighted regression reveal driving mechanisms promoting between results indicate that (1) levels exhibit contrasting patterns “high east low west” west east”, respectively; (2) nearly half show development, few counties districts achieving better coordination; (3) variation is influenced by regional economic capacity, social resource endowment, policy inclination, various factors influencing different ways. This helps further elucidate relationship provides valuable references for other ecologically fragile areas.

Language: Английский

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