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Spatial Distribution Characteristics and Influencing Factors of Rural Governance Demonstration Villages in China

Author

Listed:
  • Xinyu Xie

    (The Institute of Geography and Resources, Sichuan Normal University, Chengdu 610066, China)

  • Ying Zhang

    (The Institute of Geography and Resources, Sichuan Normal University, Chengdu 610066, China)

  • Xiaoping Qiu

    (The Institute of Geography and Resources, Sichuan Normal University, Chengdu 610066, China
    Key Laboratory of land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu 610068, China)

Abstract

Rural governance plays a significant role in constructing national governance systems and promoting rural development. An accurate understanding of the spatial distribution characteristics and influencing factors of rural governance demonstration villages is conducive to giving full play to their leading, demonstration and radiating roles and further promoting the modernization of rural governance systems and governance capacity. Therefore, this study uses Moran’s I analysis, local correlation analysis, kernel density analysis and a geographic concentration index to analyze the spatial distribution characteristics of rural governance demonstration villages. Moreover, this study proposes a conceptual framework to construct the cognition of rural governance and uses Geodetector and vector data buffer analysis methods to explore the internal influence mechanism of their spatial distribution. The results show the following: (1) The spatial distribution of rural governance demonstration villages in China is unbalanced. The distribution difference between the two sides of the “Hu line” is significant. The peak appears at 30° N and 118° E. (2) The rural governance demonstration villages in China are clustered, which forms a high-density core area, a sub-high density belt, two sub-high-density centers and several single core concentration areas. Additionally, the hot spots of rural governance demonstration villages in China are mostly located on the eastern coast, tending to cluster in places with superior natural conditions, convenient transportation, and excellent economic development. (3) Based on the distribution characteristics of Chinese rural governance demonstration villages, this study proposes a “one core, three axes and multiple centers” spatial structure to optimize the distribution of rural governance demonstration villages. (4) A rural governance framework system consists of a governance subject subsystem and influencing factor subsystem. The results of Geodetector show that under the mutual leading role of the three governance subjects, the distribution of rural governance demonstration villages in China is the result of multiple factors. Among them, nature is the basic factor, economy is the key factor, politics is the dominant factor, and demographic is the important factor. The interaction network formed by general public budget expenditure and total power of agricultural machinery affects the spatial distribution pattern of the rural governance demonstration villages in China.

Suggested Citation

  • Xinyu Xie & Ying Zhang & Xiaoping Qiu, 2023. "Spatial Distribution Characteristics and Influencing Factors of Rural Governance Demonstration Villages in China," IJERPH, MDPI, vol. 20(5), pages 1-20, March.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:4538-:d:1087221
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    as
    1. Qin Yang & Huan Dan & Tingting Ni & Pan Zhao & Junyi Wei & Gang Wang, 2023. "Research on the Coupling and Coordinated Development of the Tourism Industry and Regional Economy in the Economic Circle of the Sichuan–Chongqing Region in Southwest China," Sustainability, MDPI, vol. 15(3), pages 1-19, January.
    2. Ning Zhang & Jinhua Sun & Yu Tang & Jianqun Zhang & Valentina Boamah & Decai Tang & Xiaoxue Zhang, 2023. "How Do Green Finance and Green Technology Innovation Impact the Yangtze River Economic Belt’s Industrial Structure Upgrading in China? A Moderated Mediation Effect Model Based on Provincial Panel Data," Sustainability, MDPI, vol. 15(3), pages 1-22, January.
    3. Yanbo Qu & Weiying Zhao & Lijun Zhao & Yanfeng Zheng & Zhiwei Xu & Huailong Jiang, 2022. "Research on Hollow Village Governance Based on Action Network: Mode, Mechanism and Countermeasures—Comparison of Different Patterns in Plain Agricultural Areas of China," Land, MDPI, vol. 11(6), pages 1-26, May.
    4. Yanglu Yu & Kuiting Gao & Ning Cao, 2022. "The Embedding of Sports Social Organizations in Rural Governance Based on the Collaborative Governance Model of Multiple Subjects," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-10, June.
    5. Hui Tao & Zhihui Huang & Feixiao Ran, 2018. "Rural Tourism Spatial Reconstruction Model from the Perspective of ATV: A Case Study of Mufu Township, Hubei Province, China," Sustainability, MDPI, vol. 10(8), pages 1-16, July.
    6. Jianwei Qi & Yayan Lu & Fang Han & Xuankai Ma & Zhaoping Yang, 2022. "Spatial Distribution Characteristics of the Rural Tourism Villages in the Qinghai-Tibetan Plateau and Its Influencing Factors," IJERPH, MDPI, vol. 19(15), pages 1-21, July.
    7. Ryuichi Ohta & Yoshinori Ryu & Daisuke Kataoka & Chiaki Sano, 2021. "Effectiveness and Challenges in Local Self-Governance: Multifunctional Autonomy in Japan," IJERPH, MDPI, vol. 18(2), pages 1-14, January.
    8. Meiyan Li & Wen Ouyang & Dayu Zhang, 2022. "Spatial Distribution Characteristics and Influencing Factors of Traditional Villages in Guangxi Zhuang Autonomous Region," Sustainability, MDPI, vol. 15(1), pages 1-11, December.
    9. Zhou, Yang & Li, Yamei & Xu, Chenchen, 2020. "Land consolidation and rural revitalization in China: Mechanisms and paths," Land Use Policy, Elsevier, vol. 91(C).
    10. Jiayi Tang & Haibo Ruan & Chao Wang & Wendong Xu & Changgui Li & Xuan Dong, 2022. "Social Network, Cognition and Participation in Rural Health Governance," IJERPH, MDPI, vol. 19(5), pages 1-17, March.
    11. Karina Yoshie Martins Kato & Nelson Giordano Delgado & Jorge Osvaldo Romano, 2022. "Territorial Approach and Rural Development Challenges: Governance, State and Territorial Markets," Sustainability, MDPI, vol. 14(12), pages 1-23, June.
    12. Jinrui Xi & Feng Wen, 2019. "Sustainable Rural Governance: How Rural Elections in China Lead to Long-Term Social Stability?," Sustainability, MDPI, vol. 11(22), pages 1-13, November.
    13. Heo, Jang & Kim, Yunjung, 2016. "Comprehensive Rural Development Strategies Of Korea And Their Implications To Developing Countries," Journal of Rural Development/Nongchon-Gyeongje, Korea Rural Economic Institute, vol. 39(Special, ), pages 1-34, December.
    14. Lei Zhu & Jing Hu & Jiahui Xu & Yannan Li & Mangmang Liang, 2022. "Spatial Distribution Characteristics and Influencing Factors of Pro-Poor Tourism Villages in China," Sustainability, MDPI, vol. 14(23), pages 1-20, November.
    15. Lianma Zhang & Dazhuan Ge & Pan Sun & Dongqi Sun, 2021. "The Transition Mechanism and Revitalization Path of Rural Industrial Land from a Spatial Governance Perspective: The Case of Shunde District, China," Land, MDPI, vol. 10(7), pages 1-19, July.
    16. Yunxing Zhang & Weizhen Li & Ziyang Li & Meiyu Yang & Feifei Zhai & Zhigang Li & Heng Yao & Haidong Li, 2022. "Spatial Distribution Characteristics and Influencing Factors of Key Rural Tourism Villages in China," Sustainability, MDPI, vol. 14(21), pages 1-26, October.
    17. Rongtian Zhang & Xiaolin Zhang, 2022. "Spatial–Temporal Differentiation and the Driving Mechanism of Rural Transformation Development in the Yangtze River Economic Belt," Sustainability, MDPI, vol. 14(5), pages 1-16, February.
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    2. Cai Li & Chengjie Guo, 2023. "Location Suitability Evaluation and Spatial Optimization of Self-Driving Camps in Xinjiang," Sustainability, MDPI, vol. 15(14), pages 1-25, July.

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