IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v97y2020ics0264837719317570.html
   My bibliography  Save this article

Rural Revitalization in China: Land-Use Optimization through the Practice of Place-making

Author

Listed:
  • Huang, Yaofu
  • Hui, Eddie C.M.
  • Zhou, Jinmiao
  • Lang, Wei
  • Chen, Tingting
  • Li, Xun

Abstract

In the process of globalization and rapid urbanization, most villages in the world are facing the challenge of transformation and revitalization. Few studies explain how villages evolve dynamically because of ignoring villages’ internal connections. By focusing on land-use optimization, this paper aims to reveal the process of rural transformation in the theory of place-making from a micro perspective. With the case study of Yuanqianshe in China, it is found that in the rural post-productivism transformation, place-making can take full advantage of rural rich resources through the different stakeholders’ cooperation. In this process of place-making, villagers become leading actors of rural transformation, while the government and society have irreplaceable roles. The case study shows that human-land relationships can be coordinated in the process of place-making, which lay a foundation of harmonious neighborhoods for the land-use policy implementation. The place-making ultimately brings about the optimal allocation of rural resources. We suggest that incentive policy like the Substitute Subsidies with Rewards and rural planning should be adopted to help villagers further realize rural revitalization towards post-productivism.

Suggested Citation

  • Huang, Yaofu & Hui, Eddie C.M. & Zhou, Jinmiao & Lang, Wei & Chen, Tingting & Li, Xun, 2020. "Rural Revitalization in China: Land-Use Optimization through the Practice of Place-making," Land Use Policy, Elsevier, vol. 97(C).
    • Handle: RePEc:eee:lauspo:v:97:y:2020:i:c:s0264837719317570
    DOI: 10.1016/j.landusepol.2020.104788
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837719317570
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.landusepol.2020.104788?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Li, Xun & Hui, Eddie Chi-man & Lang, Wei & Zheng, Shali & Qin, Xiaozhen, 2020. "Transition from factor-driven to innovation-driven urbanization in China: A study of manufacturing industry automation in Dongguan City," China Economic Review, Elsevier, vol. 59(C).
    2. Lang, Wei & Long, Ying & Chen, Tingting, 2018. "Rediscovering Chinese cities through the lens of land-use patterns," Land Use Policy, Elsevier, vol. 79(C), pages 362-374.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lin, Yongyuan & Shui, Wei & Li, Zhipan & Huang, Shan & Wu, Kexin & Sun, Xiaorui & Liang, Jingchen, 2021. "Green space optimization for rural vitality: Insights for planning and policy," Land Use Policy, Elsevier, vol. 108(C).
    2. Xinhui Wu & Luan Chen & Li Ma & Liru Cai & Xun Li, 2023. "Return migration, rural household investment decision, and poverty alleviation: Evidence from rural Guangdong, China," Growth and Change, Wiley Blackwell, vol. 54(1), pages 304-325, March.
    3. Sun, Wenwen & Jin, Hongyu & Chen, Yan & Hu, Xin & Li, Zhuoran & Kidd, Akari & Liu, Chunlu, 2021. "Spatial mismatch analyses of school land in China using a spatial statistical approach," Land Use Policy, Elsevier, vol. 108(C).
    4. Caiyao Xu & Chen Qian & Wencai Yang & Bowei Li & Lingqian Kong & Fanbin Kong, 2022. "Spatiotemporal Pattern of Urban-Rural Integration Development and Its Driving Mechanism Analysis in Hangzhou Bay Urban Agglomeration," IJERPH, MDPI, vol. 19(14), pages 1-21, July.
    5. Jingjie Liu & Min Xia, 2023. "Influencing Factors Analysis and Optimization of Land Use Allocation: Combining MAS with MOPSO Procedure," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
    6. Jing Zhang & Bingbing Huang & Xinming Chen & Congmou Zhu & Muye Gan, 2022. "Multidimensional Evaluation of the Quality of Rural Life Using Big Data from the Perspective of Common Prosperity," IJERPH, MDPI, vol. 19(21), pages 1-21, October.
    7. Martina Slámová & Alexandra Kruse & Ingrid Belčáková & Johannes Dreer, 2021. "Old but Not Old Fashioned: Agricultural Landscapes as European Heritage and Basis for Sustainable Multifunctional Farming to Earn a Living," Sustainability, MDPI, vol. 13(9), pages 1-22, April.
    8. Lixin Liu & Jiawen Chen & Qingnan Cai & Yaofu Huang & Wei Lang, 2020. "System Building and Multistakeholder Involvement in Public Participatory Community Planning through Both Collaborative- and Micro-Regeneration," Sustainability, MDPI, vol. 12(21), pages 1-19, October.
    9. Jingyu Liu & Qiong Song & Xiaomin Wang, 2023. "Spatial Morphology Evolution of Rural Settlements in the Lower Yellow River Plain: The Case of Menggang Town in Changyuan City, China," Land, MDPI, vol. 12(6), pages 1-19, May.
    10. Petrescu-Mag, Ruxandra Malina & Petrescu, Dacinia Crina & Azadi, Hossein, 2022. "From scythe to smartphone: Rural transformation in Romania evidenced by the perception of rural land and population," Land Use Policy, Elsevier, vol. 113(C).
    11. Pinyu Chen & Xiang Kong, 2021. "Tourism-led Commodification of Place and Rural Transformation Development: A Case Study of Xixinan Village, Huangshan, China," Land, MDPI, vol. 10(7), pages 1-19, July.

    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. Lei Ding & Xuejuan Fang, 2022. "Spatial–temporal distribution of air-pollution-intensive industries and its social-economic driving mechanism in Zhejiang Province, China: a framework of spatial econometric analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 1681-1712, February.
    2. Kai Li & Zhili Ma & Jinjin Liu, 2019. "A New Trend in the Space–Time Distribution of Cultivated Land Occupation for Construction in China and the Impact of Population Urbanization," Sustainability, MDPI, vol. 11(18), pages 1-23, September.
    3. Yichi Zhang & Kai Xue & Huimin Cao & Yingen Hu, 2023. "The Non-Linear Relationship between the Number of Permanent Residents and the Willingness of Rural Residential Land Transfer: The Threshold Effect of per Capita Net Income," Land, MDPI, vol. 12(8), pages 1-23, August.
    4. Yawen Qin & Xiaozhen Qin & Haohui Chen & Xun Li & Wei Lang, 2021. "Measuring cognitive proximity using semantic analysis: A case study of China's ICT industry," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6059-6084, July.
    5. Nii-Aponsah, Hubert, 2022. "Automation exposure and implications in advanced and developing countries across gender, age, and skills," MERIT Working Papers 2022-021, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    6. Wang, En-Ze & Lee, Chien-Chiang & Li, Yaya, 2022. "Assessing the impact of industrial robots on manufacturing energy intensity in 38 countries," Energy Economics, Elsevier, vol. 105(C).
    7. Li, Jianqiang & Shan, Yaowen & Tian, Gary & Hao, Xiangchao, 2020. "Labor cost, government intervention, and corporate innovation: Evidence from China," Journal of Corporate Finance, Elsevier, vol. 64(C).
    8. Shili Chen & Wei Lang & Xun Li, 2022. "Evaluating Urban Vitality Based on Geospatial Big Data in Xiamen Island, China," SAGE Open, , vol. 12(4), pages 21582440221, October.
    9. Dawid Kudas & Agnieszka Wnęk & Lucia Tátošová, 2022. "Land Use Mix in Functional Urban Areas of Selected Central European Countries from 2006 to 2012," IJERPH, MDPI, vol. 19(22), pages 1-17, November.
    10. Huaxin Wang-Lu & Octasiano Miguel Valerio Mendoza, 2022. "Job Prospects and Labour Mobility in China," Papers 2207.08282, arXiv.org, revised Sep 2022.
    11. Mai, Nhat Chi, 2021. "Analysis of Changes in Comparative Advantages of the Manufacturing in Vietnam and Comparison with China," OSF Preprints e9avy, Center for Open Science.
    12. Liu, Liang & Yang, Kun & Fujii, Hidemichi & Liu, Jun, 2021. "Artificial intelligence and energy intensity in China’s industrial sector: Effect and transmission channel," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 276-293.
    13. Yingbin Feng & Mengxue Ke & Ting Zhou, 2022. "Spatio-Temporal Dynamics of Non-Grain Production of Cultivated Land in China," Sustainability, MDPI, vol. 14(21), pages 1-14, November.
    14. Shixiong Yan & Yuannan Long & Huaiguang He & Xiaofeng Wen & Qian Lv & Moruo Zheng, 2023. "Flood response to urban expansion in the Lushui River Basin," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 115(1), pages 779-805, January.
    15. Ye Ye & Rosmini Omar & Binyao Ning & Hiram Ting, 2020. "Intergenerational Transmission of Occupation: A Qualitative Inquiry into Frontline Factory Workers in China," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    16. Xiaowei Yao & Di Wu, 2023. "Spatiotemporal Changes and Influencing Factors of Rural Settlements in the Middle Reaches of the Yangtze River Region, 1990–2020," Land, MDPI, vol. 12(9), pages 1-23, September.
    17. Yue Wang & Ge Song & Wenying Li, 2021. "The Interaction Relationship between Land Use Patterns and Socioeconomic Factors Based on Wavelet Analysis: A Case Study of the Black Soil Region of Northeast China," Land, MDPI, vol. 10(11), pages 1-19, November.
    18. Yan Sun & Yuanyuan Chang & Junna Liu & Xiaoping Ge & Gang-Jun Liu & Fu Chen, 2021. "Spatial Differentiation of Non-Grain Production on Cultivated Land and Its Driving Factors in Coastal China," Sustainability, MDPI, vol. 13(23), pages 1-18, November.
    19. Xiaodie Yuan & Baoyu Chen & Xiong He & Guojun Zhang & Chunshan Zhou, 2024. "Spatial Differentiation and Influencing Factors of Tertiary Industry in the Pearl River Delta Urban Agglomeration," Land, MDPI, vol. 13(2), pages 1-23, February.
    20. Yu, Junqing & Zhou, Kaile & Yang, Shanlin, 2019. "Land use efficiency and influencing factors of urban agglomerations in China," Land Use Policy, Elsevier, vol. 88(C).

    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:eee:lauspo:v:97:y:2020:i:c:s0264837719317570. 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: Joice Jiang (email available below). General contact details of provider: https://www.journals.elsevier.com/land-use-policy .

    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.