IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v14y2023i1p16-d1305292.html
   My bibliography  Save this article

Agricultural Land Suitability Assessment at the County Scale in Taiyuan, China

Author

Listed:
  • Juan Xu

    (Research Center of Agricultural Economy, School of Economics, Sichuan University of Science & Engineering, Zigong 643000, China)

  • Cuicui Jiao

    (Research Center of Agricultural Economy, School of Economics, Sichuan University of Science & Engineering, Zigong 643000, China)

  • Dalun Zheng

    (Research Center of Agricultural Economy, School of Economics, Sichuan University of Science & Engineering, Zigong 643000, China)

  • Luoxin Li

    (Research Center of Agricultural Economy, School of Economics, Sichuan University of Science & Engineering, Zigong 643000, China)

Abstract

Conducting agricultural land suitability assessments (ALSA) scientifically is crucial for ensuring food security and fostering sustainable agricultural development. This study assessed the suitability of agricultural land in Taiyuan using a geographic information system (GIS) and the analytic hierarchy process (AHP), integrating factors such as topography, soil, water sources, and social conditions at a 1 km spatial resolution. The primary aim was to map the spatial distribution of agricultural land suitability and understand county-level variations. Given the irreversible impact of urban development on land use and the critical importance of ecological conservation, corresponding subtractions for urban and natural protected areas have been applied in this study during the assessment of agricultural land suitability. The findings revealed that Taiyuan’s agricultural land suitability generally falls within an intermediate range, without areas classified as completely unsuitable (lowest rank) or suitable (highest rank). The agricultural land suitability does not reach the extreme conditions of being “unsuitable” (lowest rank) nor “suitable” (highest rank), reflecting an overall intermediate potential for agricultural production across the entirety of Taiyuan. The spatial distribution indicates higher suitability in the east and lower in the west, with 33.1% of Taiyuan’s territorial area deemed relatively suitable, 61.3% moderately suitable, and only 5.6% generally suitable for agricultural production. Recommendations include focusing on high-economic-return crops in suitable areas, adopting drought-resistant varieties and enhancing agricultural infrastructure in moderately suitable areas, and prioritizing ecological conservation in generally suitable areas. Additionally, county-level strategies suggest differentiated agricultural models: agritourism and boutique agriculture in urban conflict areas like Qingxu and Wanbailin; cultivation of cold-resistant crops in ecologically fragile areas like Loufan; and sustainable agricultural practices like planting drought-resistant crops in water-scarce regions like Yangqu. This comprehensive assessment offers valuable insights for optimizing agricultural land allocation in Taiyuan, balancing economic development with ecological sustainability.

Suggested Citation

  • Juan Xu & Cuicui Jiao & Dalun Zheng & Luoxin Li, 2023. "Agricultural Land Suitability Assessment at the County Scale in Taiyuan, China," Agriculture, MDPI, vol. 14(1), pages 1-20, December.
  • Handle: RePEc:gam:jagris:v:14:y:2023:i:1:p:16-:d:1305292
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/14/1/16/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/14/1/16/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nida Akram & Muhammad Waqar Akram & Hongshu Wang & Ayesha Mehmood, 2019. "Does Land Tenure Systems Affect Sustainable Agricultural Development?," Sustainability, MDPI, vol. 11(14), pages 1-15, July.
    2. Guo, Yuanzhi & Liu, Yansui, 2021. "Poverty alleviation through land assetization and its implications for rural revitalization in China," Land Use Policy, Elsevier, vol. 105(C).
    3. Edrisi, Sheikh Adil & Dubey, Pradeep Kumar & Chaturvedi, Rajiv Kumar & Abhilash, Purushothaman Chirakkuzhyil, 2022. "Bioenergy crop production potential and carbon mitigation from marginal and degraded lands of India," Renewable Energy, Elsevier, vol. 192(C), pages 300-312.
    4. Andrianarimanana, Mihasina Harinaivo & Yongjian, Pu & Rabezanahary Tanteliniaina, Mirindra Finaritra, 2023. "Assessment of the importance of climate, land, and soil on the global supply for agricultural products and global food security: Evidence from Madagascar," Food Policy, Elsevier, vol. 115(C).
    5. Saeed Nosratabadi & Sina Ardabili & Zoltan Lakner & Csaba Mako & Amir Mosavi, 2021. "Prediction of Food Production Using Machine Learning Algorithms of Multilayer Perceptron and ANFIS," Papers 2104.14286, arXiv.org.
    6. Donkor, Emmanuel & Frimpong, Frederick Kwabena & Owusu, Victor, 2023. "Land tenure and investment in productive inputs in Ghanaian cocoa farming: A generalised structural equation modelling approach," Land Use Policy, Elsevier, vol. 132(C).
    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. Zehua Wang & Fachao Liang & Sheng-Hau Lin, 2023. "Can socially sustainable development be achieved through homestead withdrawal? A hybrid multiple-attributes decision analysis," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-18, December.
    2. Shirzad, Hossein & Barati, Ali Akbar & Ehteshammajd, Shaghayegh & Goli, Imaneh & Siamian, Narges & Moghaddam, Saghi Movahhed & Pour, Mahdad & Tan, Rong & Janečková, Kristina & Sklenička, Petr & Azadi,, 2022. "Agricultural land tenure system in Iran: An overview," Land Use Policy, Elsevier, vol. 123(C).
    3. Xia, Fangzhou & Huang, Jing & Zhang, Zhengfeng, 2024. "Government concerns, the benefit cliff, and land use: A comparative study of rural impoverished and marginalised impoverished groups," Land Use Policy, Elsevier, vol. 140(C).
    4. Wang, Ziyang & Wang, Wenxiong & Yu, Lihong & Zhang, Dongli, 2022. "Multidimensional poverty alleviation effect of different rural land consolidation models: A case study of Hubei and Guizhou, China," Land Use Policy, Elsevier, vol. 123(C).
    5. Qingsheng Bi & Weiqiang Chen & Ling Li & Xiuli Wang & Enxiang Cai, 2022. "Agricultural Population Supported in Rural Areas under Traditional Planting Mode Based on Opportunity Cost Analysis," Land, MDPI, vol. 11(8), pages 1-15, August.
    6. Lu Cai & Chaoqing Chai & Bangbang Zhang & Feng Yang & Wei Wang & Chengdong Zhang, 2022. "The Theoretical Approach and Practice of Farmland Rights System Reform from Decentralization to Centralization Promoting Agricultural Modernization: Evidence from Yuyang District in Shaanxi, China," Land, MDPI, vol. 11(12), pages 1-16, December.
    7. Yang Liu & Jiajun Qiao & Jie Xiao & Dong Han & Tao Pan, 2022. "Evaluation of the Effectiveness of Rural Revitalization and an Improvement Path: A Typical Old Revolutionary Cultural Area as an Example," IJERPH, MDPI, vol. 19(20), pages 1-24, October.
    8. Yanyu Wang & Robert Tian, 2023. "Development of Rural Regions in China: Evidence of Industry Integration by the Residents of Yongan Village (Quanzhou City, China)," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    9. Ying Zhang & Xinyu Xie & Xiaoping Qiu & Zheng Jing & Yongqian Yu & Yan Wang, 2023. "Study on Livelihood Resilience of Rural Residents under the Rural Revitalization Strategy in Ethnic Areas of Western Sichuan, China," Agriculture, MDPI, vol. 13(10), pages 1-19, October.
    10. Ihab K. A. Hamdan & Wulamu Aziguli & Dezheng Zhang & Eli Sumarliah, 2023. "Machine learning in supply chain: prediction of real-time e-order arrivals using ANFIS," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 549-568, March.
    11. Hong Ran & Yonggang Ma & Zhonglin Xu, 2022. "Evaluation and Prediction of Land Use Ecological Security in the Kashgar Region Based on Grid GIS," Sustainability, MDPI, vol. 15(1), pages 1-14, December.
    12. Leng Liu & Congjie Cao & Wei Song, 2023. "Bibliometric Analysis in the Field of Rural Revitalization: Current Status, Progress, and Prospects," IJERPH, MDPI, vol. 20(1), pages 1-18, January.
    13. Tao, Zhou & Guanghui, Jiang & Wenqiu, Ma & Ruijuan, Zhang & Yingying, Tian & Qinglei, Zhao & Yaya, Tian, 2024. "A framework for identifying the distribution of revitalization potential of idle rural residential land under rural revitalization," Land Use Policy, Elsevier, vol. 136(C).
    14. Zheng, Linyi, 2024. "Big hands holding small hands: The role of new agricultural operating entities in farmland abandonment," Food Policy, Elsevier, vol. 123(C).
    15. Gao, Jing & Wang, Chao & Wang, Zhanwu & Lin, Jin & Zhang, Runkai & Wu, Xin & Xu, Guangyin & Wang, Zhenfeng, 2024. "Site selection decision for biomass cogeneration projects from a sustainable perspective: A case study of China," Energy, Elsevier, vol. 286(C).
    16. Yinxin Su & Mingzhi Hu & Yuzhe Wu, 2023. "Rural Land Transfer and Urban Settlement Intentions of Rural Migrants: Evidence from a Rural Land System Reform in China," IJERPH, MDPI, vol. 20(4), pages 1-15, February.
    17. Muhammad Waqar Akram & Nida Akram & Hongshu Wang & Shahla Andleeb & Khalil Ur Rehman & Umair Kashif & Syed Farhaan Hassan, 2020. "Socioeconomics Determinants to Adopt Agricultural Machinery for Sustainable Organic Farming in Pakistan: A Multinomial Probit Model," Sustainability, MDPI, vol. 12(23), pages 1-15, November.
    18. Jinqian Deng & Yue Gu & Na Zhang, 2024. "Has China’s Pilot Policy of Farmland Management Right Mortgage Loan Promoted County Agricultural Economic Growth?," Land, MDPI, vol. 13(6), pages 1-20, June.
    19. Juliet Katusiime & Brigitta Schütt, 2023. "Towards Legislation Responsive to Integrated Watershed Management Approaches and Land Tenure," Sustainability, MDPI, vol. 15(3), pages 1-27, January.
    20. Yuanzhi Guo & Jieyong Wang, 2023. "Land Consolidation in Rural China: Historical Stages, Typical Modes, and Improvement Paths," Land, MDPI, vol. 12(2), pages 1-15, February.

    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:jagris:v:14:y:2023:i:1:p:16-:d:1305292. 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.