Spatio-temporal Evolution and Driver Detection of Rural Resilience in Western China

HE Jiahui , WU Yingmei , YU Lijiao , JIAO Min , GUO Yi

Areal Research and Development ›› 2023, Vol. 42 ›› Issue (1) : 144-148，160.

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Areal Research and Development ›› 2023, Vol. 42 ›› Issue (1) : 144-148，160. DOI: 10.3969/j.issn.1003-2363.2023.01.024

Spatio-temporal Evolution and Driver Detection of Rural Resilience in Western China

  • HE Jiahui1 , WU Yingmei1 , YU Lijiao2 , JIAO Min3 , GUO Yi1
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Abstract

Taking 12 western provinces as the research object, starting from the population toughness, economic toughness, social toughness, resource toughness and environmental toughness to build rural toughness evaluation index system, through the integrated use of entropy method, nuclear density estimation, global spatial autocorrelation index and geographical detector, the paper try to explore the rural resilience’s time and space evolution characteristics and its driving factor. The results show that: (1) Rural resilience is fluctuating and improving, but the overall level is still low. (2) The spatial differences in rural resilience are significant, and the spatial agglomeration effect is increasing. Tibet and Qinghai have been low resilient, Xinjiang, Guizhou and Inner Mongolia are mainly moderate and high resilience, and Guangxi and Chongqing were highly resilient. (3) Rural resilience is driven by the interaction of multiple factors, such as economic drivers, government regulation drivers, information drivers and population drivers.

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rural resilience / rural revitalization / spatio-temporal evolution / geographic detector / western China

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HE Jiahui , WU Yingmei , YU Lijiao , JIAO Min , GUO Yi. Spatio-temporal Evolution and Driver Detection of Rural Resilience in Western China[J]. Areal Research and Development, 2023, 42(1): 144-148，160 https://doi.org/10.3969/j.issn.1003-2363.2023.01.024

References

［1］李玉恒,阎佳玉,刘彦随.基于乡村弹性的乡村振兴理论认知与路径研究［J］.地理学报,2019,74(10):2001-2010.
［2］李玉恒,阎佳玉,宋传垚.乡村振兴与可持续发展：国际典型案例剖析及其启示［J］.地理研究,2019,38(3):595-604.
［3］郭远智,周扬,刘彦随.中国农村人口外流的时空演化及其驱动机制［J］.地理科学,2020,40(1):50-59.
［4］刘彦随,周扬.中国美丽乡村建设的挑战与对策［J］.农业资源与环境学报,2015,32(2):97-105.
［5］李玉恒,曹智,贾大猛,等.制度演变与中国城乡发展差距：基于30年省际面板数据的分析［J］.地域研究与开发,2016,35(1):45-50.
［6］李玉恒,阎佳玉,武文豪,等.世界乡村转型历程与可持续发展展望［J］.地理科学进展,2018,37(5):627-635.
［7］王成,任梅菁,胡秋云,等.乡村生产空间系统韧性的科学认知及其研究域［J］.地理科学进展,2021,40(1):85-94.
［8］周侃,刘宝印,樊杰.汶川Ms8.0地震极重灾区的经济韧性测度及恢复效率［J］.地理学报,2019,74(10):2078-2091.
［9］邵亦文,徐江.城市韧性:基于国际文献综述的概念解析［J］.国际城市规划,2015,30(2):48-54.
［10］MARTIN R.Regional Economic Resilience,Hysteresis and Recessionary Shocks［J］.Journal of Economic Geography,2012,12(1):1-32.
［11］陈轶,葛怡,陈睿山,等.气候变化背景下国外城市韧性研究新进展：基于citespace的文献计量分析［J］.灾害学,2020,35(2):136-141.
［12］冯苑,聂长飞,张东.中国城市群经济韧性的测度与分析：基于经济韧性的shift-share分解［J］.上海经济研究,2020(5):60-72.
［13］HOLLING C.Resilience and Stability of Ecological Systems［J］.Annual Review of Ecology and Systematics,1973,4:1-23.
［14］陈梦远.国际区域经济韧性研究进展：基于演化论的理论分析框架介绍［J］.地理科学进展,2017,36(11):1435-1444.
［15］SCOTT M.Resilience:A Conceptual Lens for Rural Studies?［J］.Geography Compass,2013,7(9):597-610.
［16］QUARANTA G,SALVIA R.An Index to Measure Rural Diversity in the Light of Rural Resilience and Rural Development Debate［J］.European Countryside,2014,6(2),161-178.
［17］STEINER A,ATTERTON J.Exploring the Contribution of Rural Enterprises to Local Resilience［J］.Journal of Rural Studies,2015,40:30-45.
［18］CHIANG Y,TSAI F,CHANG H,et al.Adaptive Society in a Changing Environment:Insight into the Social Resilience of a Rural Region of Taiwan［J］.Land Use Policy,2014,36:510-521.
［19］胡霄,李红波,李智,等.河北省县域乡村韧性测度及时空演变［J］.地理与地理信息科学,2021,37(3):89-96.
［20］李玉恒,黄惠倩,王晟业.基于乡村经济韧性的传统农区城乡融合发展路径研究；以河北省典型县域为例［J］.经济地理,2021,41(8):28-33.
［21］段进军,玄泽源.长三角一体化背景下江苏省县域经济韧性与乡村振兴耦合关系分析［J］.苏州大学学报(哲学社会科学版),2021,42(3):32-43.
［22］王淑新,胡仪元,唐萍萍.集中连片特困地区乡村振兴与绿色发展协同推进的长效动力机制构建［J］.当代经济管理,2021,43(4):33-38.
［23］李琳娜,璩路路,刘彦随.乡村地域多体系统识别方法及应用研究［J］.地理研究,2019,38(3):563-577.
［24］孙久文,孙翔宇.区域经济韧性研究进展和在中国应用的探索［J］.经济地理,2017,37(10):1-9.
［25］王常凯,巩在武.“纵横向”拉开档次法中指标规范化方法的修正［J］.统计与决策,2016(2):77-79.
［26］张贵,李涛.京津冀省域创新效率差异演化与空间计量分析［J］.地域研究与开发,2017,36(4):13-18.
［27］黄杰.中国绿色发展效率的区域差异及动态演进［J］.地域研究与开发,2018,37(4):13-18.
［28］温瑞霞,赵春雨,杨娜,等.乡镇尺度贫困地图绘制及空间贫困陷阱检验:以皖西地区为例［J］.地域研究与开发,2020,39(3):127-132.
［29］王新越,孟繁卿,朱文亮.我国热门旅游城市旅游经济空间分异及影响因素:基于地理探测器方法的研究［J］.地域研究与开发,2020,39(2):76-81.
［30］王彩丽,闫绪娴.中国乡村韧性时空分异及障碍因子诊断［J］.经济问题,2022(10):91-97.
［31］李玉恒,黄惠倩,宋传垚.中国西南贫困地区乡村韧性研究:以重庆市为例［J］.人文地理,2022,37(5):97-105.
［32］刘彦随,周扬,李玉恒.中国乡村地域系统与乡村振兴战略［J］.地理学报,2019,74(12):2511-2528.

［33］王凯,林惠,甘畅,等.集中连片特困区旅游扶贫效率与经济发展水平的时空耦合关系:以武陵山片区为例［J］.经济地理,2020,40(2):200-208.

［34］曹献雨,睢党臣.中国人口质量的时序变化和地区异质性分析［J］.统计与决策,2021,37(3):76-80.
［35］裴进堂.河南省乡村内核系统与外缘系统发展协调度及空间格局:基于18个省辖市数据分析［J］.中国农业资源与区划,2020,41(5):215-222.

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