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Local Identity Based on Villagers’ Vision of Life and Village Dynamics—Evidence from 40 Villages in Yunnan Province, China
Improving local identity is the key to rural sustainable development. Facing the issue of rural hollowing and aging, rural human settlement requires targeted enhancement in conjunction with the living willingness and local identity of villagers. Firstly, this study summarizes the dynamic evolution characteristics of rural human settlement development and population contraction in Yunnan Province from 2001 to 2021, based on the “Production-Living-Ecological” theory. Secondly, the paper selects detailed survey data from 40 administrative villages in Yunnan Province in 2015, analyzes the characteristics of villagers’ living visions in typical villages through questionnaire data, and constructs a comprehensive local identity index model based on multilevel living-visions to quantify the degree of villagers’ identification with rural human settlement construction. Thirdly, the paper analyzes the correlation between the local identity index and the comprehensive human settlement evaluation and analyzes the factors of rural human settlement development that affect the local identity in depth. The results reveal that: (1) rural construction in Yunnan Province cannot adapt to the changing needs of villagers, and the development of rural human settlement is accompanied by a trend of relative shrinkage of the rural population. (2) The local identity index of villagers is weakly correlated with the development of rural human settlements. (3) The rural human settlement factors that influence rural local identity include a dual cohesion–centrifugal trend. The findings suggest that rural development depends on the primary and secondary relationship between cohesion and centrifugal trends, providing a reference for the coupling of rural construction and local identity and promoting the return of rural population to achieve sustainable development.
Local Identity Based on Villagers’ Vision of Life and Village Dynamics—Evidence from 40 Villages in Yunnan Province, China
Improving local identity is the key to rural sustainable development. Facing the issue of rural hollowing and aging, rural human settlement requires targeted enhancement in conjunction with the living willingness and local identity of villagers. Firstly, this study summarizes the dynamic evolution characteristics of rural human settlement development and population contraction in Yunnan Province from 2001 to 2021, based on the “Production-Living-Ecological” theory. Secondly, the paper selects detailed survey data from 40 administrative villages in Yunnan Province in 2015, analyzes the characteristics of villagers’ living visions in typical villages through questionnaire data, and constructs a comprehensive local identity index model based on multilevel living-visions to quantify the degree of villagers’ identification with rural human settlement construction. Thirdly, the paper analyzes the correlation between the local identity index and the comprehensive human settlement evaluation and analyzes the factors of rural human settlement development that affect the local identity in depth. The results reveal that: (1) rural construction in Yunnan Province cannot adapt to the changing needs of villagers, and the development of rural human settlement is accompanied by a trend of relative shrinkage of the rural population. (2) The local identity index of villagers is weakly correlated with the development of rural human settlements. (3) The rural human settlement factors that influence rural local identity include a dual cohesion–centrifugal trend. The findings suggest that rural development depends on the primary and secondary relationship between cohesion and centrifugal trends, providing a reference for the coupling of rural construction and local identity and promoting the return of rural population to achieve sustainable development.
Local Identity Based on Villagers’ Vision of Life and Village Dynamics—Evidence from 40 Villages in Yunnan Province, China
Yun Li (Autor:in) / Zijia Fang (Autor:in) / Jiaxin Li (Autor:in) / Li Zhang (Autor:in)
2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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