IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i2p290-d1041649.html
   My bibliography  Save this article

Rural Development under Poverty Governance: The Relationship between Rural Income and Land Use Transformation in Yunnan Province

Author

Listed:
  • Xinyu Shi

    (School of Earth Sciences, Yunnan University, Kunming 650500, China)

  • Xiaoqing Zhao

    (School of Earth Sciences, Yunnan University, Kunming 650500, China)

  • Pei Huang

    (School of Earth Sciences, Yunnan University, Kunming 650500, China
    Institute of International Rivers & Eco-Security, Yunnan University, Kunming 650500, China)

  • Zexian Gu

    (School of Earth Sciences, Yunnan University, Kunming 650500, China
    Institute of International Rivers & Eco-Security, Yunnan University, Kunming 650500, China
    Forest Resource Management Division, Nujiang Forestry and Grassland Administration, Lushui 673100, China)

  • Junwei Pu

    (School of Earth Sciences, Yunnan University, Kunming 650500, China
    Institute of International Rivers & Eco-Security, Yunnan University, Kunming 650500, China)

  • Shijie Zhou

    (School of Earth Sciences, Yunnan University, Kunming 650500, China)

  • Guoxun Qu

    (Yunnan Institute of Land Resources Planning and Design, Kunming 650500, China)

  • Qiaoqiao Zhao

    (Institute of International Rivers & Eco-Security, Yunnan University, Kunming 650500, China)

  • Yan Feng

    (School of Earth Sciences, Yunnan University, Kunming 650500, China)

  • Yanjun Chen

    (School of Earth Sciences, Yunnan University, Kunming 650500, China)

  • Aimeng Xiang

    (School of Earth Sciences, Yunnan University, Kunming 650500, China)

Abstract

The process of eliminating absolute poverty is inevitable for China’s social and economic transformation. However, there are currently few studies on the relationship between land use transformation (LUT) and rural income under different stages of poverty governance. This study, therefore, uses spatial autocorrelation analysis and a multiscale geographic weighted regression (MGWR) model to explore the mechanisms of LUT on rural income and its spatiotemporal heterogeneity in Yunnan Province during the comprehensive poverty alleviation (CPA) period and the targeted poverty alleviation (TPA) period at the county scale. The results demonstrate that: (1) the numbers of both low-income and high-income counties continued to decrease, while the number of middle-high-income counties increased, and rural income demonstrated a positive spatial correlation. (2) Most of the variables in the dominant recessive increased in the CPA and decreased in the TPA period. As for recessive morphology, the ecological function variables decreased first and then increased. (3) The driving force of dominant morphology is strong and sustained, and the driving force of recessive morphology is gradually enhanced. The results are vital for consolidating the results of poverty eradication and bridging rural revitalization. They may also provide useful references for sustainable land use and effective poverty alleviation in other developing countries.

Suggested Citation

  • Xinyu Shi & Xiaoqing Zhao & Pei Huang & Zexian Gu & Junwei Pu & Shijie Zhou & Guoxun Qu & Qiaoqiao Zhao & Yan Feng & Yanjun Chen & Aimeng Xiang, 2023. "Rural Development under Poverty Governance: The Relationship between Rural Income and Land Use Transformation in Yunnan Province," Land, MDPI, vol. 12(2), pages 1-21, January.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:2:p:290-:d:1041649
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/2/290/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/12/2/290/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hualou Long & Xiangbin Kong & Shougeng Hu & Yurui Li, 2021. "Land Use Transitions under Rapid Urbanization: A Perspective from Developing China," Land, MDPI, vol. 10(9), pages 1-9, September.
    2. Wang, Siliang & Tan, Shukui & Yang, Shengfu & Lin, Qiaowen & Zhang, Lu, 2019. "Urban-biased land development policy and the urban-rural income gap: Evidence from Hubei Province, China," Land Use Policy, Elsevier, vol. 87(C).
    3. Manish Bapna, 2012. "Sustainability is key to development goals," Nature, Nature, vol. 489(7416), pages 367-367, September.
    4. Hualou Long & Yingnan Zhang & Li Ma & Shuangshuang Tu, 2021. "Land Use Transitions: Progress, Challenges and Prospects," Land, MDPI, vol. 10(9), pages 1-20, August.
    5. Luc Anselin & Xun Li, 2019. "Operational local join count statistics for cluster detection," Journal of Geographical Systems, Springer, vol. 21(2), pages 189-210, June.
    6. A. Stewart Fotheringham & Wenbai Yang & Wei Kang, 2017. "Multiscale Geographically Weighted Regression (MGWR)," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 107(6), pages 1247-1265, November.
    7. Asabere, Stephen Boahen & Acheampong, Ransford A. & Ashiagbor, George & Beckers, Sandra Carola & Keck, Markus & Erasmi, Stefan & Schanze, Jochen & Sauer, Daniela, 2020. "Urbanization, land use transformation and spatio-environmental impacts: Analyses of trends and implications in major metropolitan regions of Ghana," Land Use Policy, Elsevier, vol. 96(C).
    8. Wang, Liye & Zhang, Siyu & Xiong, Qiangqiang & Liu, Yu & Liu, Yanfang & Liu, Yaolin, 2022. "Spatiotemporal dynamics of cropland expansion and its driving factors in the Yangtze River Economic Belt: A nuanced analysis at the county scale," Land Use Policy, Elsevier, vol. 119(C).
    9. Ge, Dazhuan & Long, Hualou & Zhang, Yingnan & Ma, Li & Li, Tingting, 2018. "Farmland transition and its influences on grain production in China," Land Use Policy, Elsevier, vol. 70(C), pages 94-105.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bowen Shan & Jian Liu & Yaqiu Liu & Huanhuan Wang & Ailing Wang, 2022. "How Is Construction Land Transition Related to Rural Transformation? Evidence from a Plain County in China Based on the Grey Correlation Model," Land, MDPI, vol. 11(5), pages 1-19, April.
    2. Xinyao Li & Lingzhi Wang & Bryan Pijanowski & Lingpeng Pan & Hichem Omrani & Anqi Liang & Yi Qu, 2022. "The Spatio-Temporal Pattern and Transition Mode of Recessive Cultivated Land Use Morphology in the Huaibei Region of the Jiangsu Province," Land, MDPI, vol. 11(11), pages 1-16, November.
    3. Jianhui Dong & Wenju Yun & Kening Wu & Shaoshuai Li & Bingrui Liu & Qiaoyuan Lu, 2023. "Spatio-Temporal Analysis of Cultivated Land from 2010 to 2020 in Long’an County, Karst Region, China," Land, MDPI, vol. 12(2), pages 1-22, February.
    4. Ligang Lyu & Zhoubing Gao & Hualou Long & Xiaorui Wang & Yeting Fan, 2021. "Farmland Use Transition in a Typical Farming Area: The Case of Sihong County in the Huang-Huai-Hai Plain of China," Land, MDPI, vol. 10(4), pages 1-16, March.
    5. Wang, Liye & Zhang, Siyu & Xiong, Qiangqiang & Liu, Yu & Liu, Yanfang & Liu, Yaolin, 2022. "Spatiotemporal dynamics of cropland expansion and its driving factors in the Yangtze River Economic Belt: A nuanced analysis at the county scale," Land Use Policy, Elsevier, vol. 119(C).
    6. Dang, Yuxuan & Zhao, Zhenting & Kong, Xiangbin & Lei, Ming & Liao, Yubo & Xie, Zhen & Song, Wei, 2023. "Discerning the process of cultivated land governance transition in China since the reform and opening-up-- Based on the multiple streams framework," Land Use Policy, Elsevier, vol. 133(C).
    7. Xiuyu Huang & Ying Wang & Wanyi Liang & Zhaojun Wang & Xiao Zhou & Qinqiang Yan, 2023. "Spatial–Temporal Evolution and Driving Factors of the Low–Carbon Transition of Farmland Use in Coastal Areas of Guangdong Province," Land, MDPI, vol. 12(5), pages 1-23, May.
    8. Peng Cheng & Houtian Tang & Yue Dong & Ke Liu & Ping Jiang & Yaolin Liu, 2021. "Knowledge Mapping of Research on Land Use Change and Food Security: A Visual Analysis Using CiteSpace and VOSviewer," IJERPH, MDPI, vol. 18(24), pages 1-22, December.
    9. Yongyong Song & Siyou Xia & Dongqian Xue & Shuai Luo & Liwei Zhang & Donghua Wang, 2022. "Land Space Change Process and Its Eco-Environmental Effects in the Guanzhong Plain Urban Agglomeration of China," Land, MDPI, vol. 11(9), pages 1-21, September.
    10. Feifei Jiang & Fu Chen & Yan Sun & Ziyi Hua & Xinhua Zhu & Jing Ma, 2023. "Spatiotemporal Pattern and Driving Mechanism of Cultivated Land Use Transition in China," Land, MDPI, vol. 12(10), pages 1-20, September.
    11. Bangrong Shu & Yi Qu, 2022. "Impact Mechanism of the Three Pilot Reforms of the Rural Land System on Rural Residential Land Use Transition: A Regime Shifts Perspective," Land, MDPI, vol. 11(12), pages 1-17, December.
    12. Yu Zhang & Na Gong & Huade Zhu, 2023. "Vegetation Dynamics and Food Security against the Background of Ecological Restoration in Hubei Province, China," IJERPH, MDPI, vol. 20(2), pages 1-18, January.
    13. Wenfeng Chen & Dan Liu & Tianyang Zhang & Linna Li, 2023. "Exploring the Determinants of the Urban–Rural Construction Land Transition in the Yellow River Basin of China Based on Machine Learning," Sustainability, MDPI, vol. 15(3), pages 1-24, January.
    14. Qu, Yanbo & Zhan, Lingyun & Wei, Chuanchen & Zhang, Qingqing & Wang, Jieyong, 2024. "Interactive transition of cultivated land and construction land during china's urbanization: A coordinated analytical framework of explicit and implicit forms," Land Use Policy, Elsevier, vol. 138(C).
    15. Fangjie Pan & Nannan Shu & Qing Wan & Qi Huang, 2023. "Land Use Function Transition and Associated Ecosystem Service Value Effects Based on Production–Living–Ecological Space: A Case Study in the Three Gorges Reservoir Area," Land, MDPI, vol. 12(2), pages 1-19, January.
    16. Zipeng Chen & Yongqiang Liu & Shuangshuang Tu, 2022. "Comprehensive Eco-Environmental Effects Caused by Land Use Transition from the Perspective of Production–Living–Ecological Spaces in a Typical Region: A Case Study of the Guangxi Zhuang Autonomous Reg," Land, MDPI, vol. 11(12), pages 1-22, November.
    17. Yanzhao Wang & Jianfei Cao, 2023. "Examining the Effects of Socioeconomic Development on Fine Particulate Matter (PM2.5) in China’s Cities Based on Spatial Autocorrelation Analysis and MGWR Model," IJERPH, MDPI, vol. 20(4), pages 1-23, February.
    18. Jiaxing Cui & Xuesong Kong & Jing Chen & Jianwei Sun & Yuanyuan Zhu, 2021. "Spatially Explicit Evaluation and Driving Factor Identification of Land Use Conflict in Yangtze River Economic Belt," Land, MDPI, vol. 10(1), pages 1-24, January.
    19. Wang, Xiaoxi & Zhang, Yaojun & Yu, Danlin & Qi, Jinghan & Li, Shujing, 2022. "Investigating the spatiotemporal pattern of urban vibrancy and its determinants: Spatial big data analyses in Beijing, China," Land Use Policy, Elsevier, vol. 119(C).
    20. Hengyu Gu & Hanchen Yu & Mehak Sachdeva & Ye Liu, 2021. "Analyzing the distribution of researchers in China: An approach using multiscale geographically weighted regression," Growth and Change, Wiley Blackwell, vol. 52(1), pages 443-459, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:12:y:2023:i:2:p:290-:d:1041649. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.