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| 重庆市乡村生产空间系统韧性扰动因素的空间效应及作用关系 | |
| 引用本文： | 王成,吴昕玥. 重庆市乡村生产空间系统韧性扰动因素的空间效应及作用关系[J]. 资源科学, 2022, 44(8): 1604-1614. DOI: 10.18402/resci.2022.08.06 |
| 作者姓名： | 王成 吴昕玥 |
| 作者单位： | 1.西南大学地理科学学院乡村人居环境研究实验室,重庆 400715 2.西部乡村可持续发展新文科实验室,重庆 400715 |
| 基金项目： | 国家重点研发计划项目(2018YFD1100804);重庆市社会科学规划项目(2022NDYB51) |
| 摘 要： | 乡村生产空间系统作为一个开放巨系统,其韧性水平既受到相邻空间要素之间相互干扰的影响,又受到空间内部各要素相互作用的影响,从空间之间以及空间内部剖析扰动因素作用关系对于韧性水平提升具有重要现实意义。本文在测度2020年重庆市37个区县乡村生产空间系统韧性水平并明晰其空间格局的基础上,运用空间杜宾模型和地理探测器交互探测方法分别对扰动因素的空间效应和相互作用关系进行分析,进而解构其作用机制。结果表明：①2020年重庆市各区县乡村生产空间系统韧性水平呈现“中心高,四周低”的空间格局,相邻区县韧性水平具有较高一致性且冷热点分布不均。②区域经济水平、二三产业发展水平及基础设施建设对乡村生产空间系统韧性具有显著正向影响,劳动力聚集度、地方财政支出具有显著负向影响。③运用扰动因素的空间效应及其相互间作用关系相结合的方法能更客观地解析扰动对乡村生产空间系统韧性水平的影响。本文阐释了乡村生产空间系统韧性扰动因素作用机制,以期为重庆市全面推进乡村振兴提供科学支撑。 |
| 关 键 词： | 乡村生产空间系统 韧性 空间杜宾模型 空间效应 地理探测器 重庆市 |
| 收稿时间： | 2022-05-16 |
| 修稿时间： | 2022-07-16 |
Spatial effect and relationship of disturbances to the resilience of rural production spatial system in Chongqing Municipality |
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| WANG Cheng,WU Xinyue. Spatial effect and relationship of disturbances to the resilience of rural production spatial system in Chongqing Municipality[J]. Resources Science, 2022, 44(8): 1604-1614. DOI: 10.18402/resci.2022.08.06 | |
| Authors: | WANG Cheng WU Xinyue |
| Affiliation: | 1. Laboratory of Rural Human Settlements, School of Geographic Sciences, Southwest University, Chongqing 400715, China 2. New Liberal Arts Laboratory of Western Rural Sustainable Development, Chongqing 400715, China |
| Abstract: | As an open giant system, the resilience level of rural production spatial system is affected not only by the interaction of elements between adjacent spaces, but also by the interaction of elements within the space. It is of great practical significance to analyze the interaction of disturbance factors between and within these spaces for improving the resilience of rural production spatial systems. On the basis of measuring the resilience level of the rural production spatial system of 37 districts and counties in Chongqing Municipality in 2020 to clarify its spatial pattern, the spatial effect and interactive relationship of disturbance factors were analyzed respectively using the spatial Durbin model and geographical detector interactive detection method, and the mechanism of impact was deconstructed. The results show that: (1) In 2020, the resilience level of production spatial system of the districts and counties of Chongqing presented a spatial pattern of high in the center and low in the periphery, the resilience level of adjacent districts and counties are highly consistent, and the distribution of cold and hot spots was uneven. (2) Economic development level, the development level of secondary and tertiary industries, and infrastructure construction have a significant positive impact on the resilience of rural production spatial system, while the degree of labor force concentration and local fiscal expenditure have a significant negative impact. (3) Using the method of combining the spatial effect of disturbance factors and their interactions can facilitate objective analysis of the impact of disturbance on the resilience level of rural production spatial system and formulation of targeted strategies to improve resilience. This study examined the mechanism of the disturbance factors of rural production spatial system resilience, and provides scientific support for the comprehensive promotion of rural revitalization in Chongqing. |
| Keywords: | rural production spatial system resilience spatial Durbin model spatial effect Geodetector Chongqing Municipality |
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