IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v10y2021i4p416-d536594.html
   My bibliography  Save this article

Evaluation of Scale Management Suitability Based on the Entropy-TOPSIS Method

Author

Listed:
  • Xiaoteng Cao

    (College of Resources and Environment, Southwest University, Chongqing 400715, China
    Key Lab Arable Land Conservat Southwest China, Ministry of Agriculture, Chongqing 400715, China)

  • Chaofu Wei

    (College of Resources and Environment, Southwest University, Chongqing 400715, China
    Key Lab Arable Land Conservat Southwest China, Ministry of Agriculture, Chongqing 400715, China)

  • Deti Xie

    (College of Resources and Environment, Southwest University, Chongqing 400715, China
    Key Lab Arable Land Conservat Southwest China, Ministry of Agriculture, Chongqing 400715, China)

Abstract

The evaluation of scale management suitability provides a comprehensive assessment of the various factors driving farmland management conditions. This research objectively evaluated the conditions for scale management suitability by applying the entropy-TOPSIS method with the aim of effectively balancing the space for agricultural production, the development of towns, and ecological protection. First, to ensure a balance between agricultural production, urban development, and ecological protection, 13 indexes were selected to represent the following three areas: natural factors, socioeconomic factors, and characteristics of cultivated land factors. The original matrix was standardized to evaluate the suitability of natural resources, the social economy, and cultivated land conditions, and a comprehensive suitability evaluation of scale management in the Jiangjin District of Chongqing was conducted. The research results divide the study area into four regions based on the level of scale management suitability. Examining the spatial distribution, the level of scale management suitability decreased gradually from north to south, regions at the high and middle levels of scale management suitability were concentrated in the northern area beside the Yangtze river, and the regions at a low level were concentrated in the southern mountain area. This research can provide a reference for the rational utilization of land resources and land use policymaking.

Suggested Citation

  • Xiaoteng Cao & Chaofu Wei & Deti Xie, 2021. "Evaluation of Scale Management Suitability Based on the Entropy-TOPSIS Method," Land, MDPI, vol. 10(4), pages 1-17, April.
  • Handle: RePEc:gam:jlands:v:10:y:2021:i:4:p:416-:d:536594
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/10/4/416/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/10/4/416/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pengfei Guo & Fangfang Zhang & Haiying Wang & Fen Qin, 2020. "Suitability Evaluation and Layout Optimization of the Spatial Distribution of Rural Residential Areas," Sustainability, MDPI, vol. 12(6), pages 1-15, March.
    2. Nisar Ahamed, T. R. & Gopal Rao, K. & Murthy, J. S. R., 2000. "GIS-based fuzzy membership model for crop-land suitability analysis," Agricultural Systems, Elsevier, vol. 63(2), pages 75-95, February.
    3. F Wang, 1994. "The Use of Artificial Neural Networks in a Geographical Information System for Agricultural Land-Suitability Assessment," Environment and Planning A, , vol. 26(2), pages 265-284, February.
    4. Shenggen Fan & Connie Chan‐Kang, 2005. "Is small beautiful? Farm size, productivity, and poverty in Asian agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 32(s1), pages 135-146, January.
    5. Palmer, Diane & Gottschalg, Ralph & Betts, Tom, 2019. "The future scope of large-scale solar in the UK: Site suitability and target analysis," Renewable Energy, Elsevier, vol. 133(C), pages 1136-1146.
    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. Zhuoya Zhang & Zheneng Hu & Fanglei Zhong & Qingping Cheng & Mingzhu Wu, 2022. "Spatio-Temporal Evolution and Influencing Factors of High Quality Development in the Yunnan–Guizhou, Region Based on the Perspective of a Beautiful China and SDGs," Land, MDPI, vol. 11(6), pages 1-19, May.

    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. Lin, Huiyan & Lu, Kang Shou & Espey, Molly & Allen, Jeffery, 2005. "Modeling Urban Sprawl and Land Use Change in a Coastal Area-- A Neural Network Approach," 2005 Annual meeting, July 24-27, Providence, RI 19364, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Oda, M. & Umetsu, C. & Shen, J., 2018. "The impacts of regional differences on farmland consolidation in Japan: The case of Tohoku, Hokuriku and Kinki," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277389, International Association of Agricultural Economists.
    3. Jia, Lili, 2012. "Land fragmentation and off-farm labor supply in China," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 66, number 66.
    4. Moumita Palchaudhuri & Sujata Biswas, 2016. "Application of AHP with GIS in drought risk assessment for Puruliya district, India," 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. 84(3), pages 1905-1920, December.
    5. Martínez-Martínez, Yenisleidy & Dewulf, Jo & Casas-Ledón, Yannay, 2022. "GIS-based site suitability analysis and ecosystem services approach for supporting renewable energy development in south-central Chile," Renewable Energy, Elsevier, vol. 182(C), pages 363-376.
    6. Sward, Jeffrey A. & Nilson, Roberta S. & Katkar, Venktesh V. & Stedman, Richard C. & Kay, David L. & Ifft, Jennifer E. & Zhang, K. Max, 2021. "Integrating social considerations in multicriteria decision analysis for utility-scale solar photovoltaic siting," Applied Energy, Elsevier, vol. 288(C).
    7. Raj Kumar Singh & Mukunda Dev Behera & Pulakesh Das & Javed Rizvi & Shiv Kumar Dhyani & Çhandrashekhar M. Biradar, 2022. "Agroforestry Suitability for Planning Site-Specific Interventions Using Machine Learning Approaches," Sustainability, MDPI, vol. 14(9), pages 1-17, April.
    8. Hurley, Mason, 2016. "Re-examining Changes in Farm Size Distributions Worldwide Using a Modified Generalized Method of Moments Approach," Master's Theses and Plan B Papers 249287, University of Minnesota, Department of Applied Economics.
    9. Cai, Wenbiao, 2010. "Skill Investment, Farm Size Distribution and Agricultural Productivity," MPRA Paper 26439, University Library of Munich, Germany.
    10. Awan, Ahmed Bilal & Zubair, Muhammad & Chandra Mouli, Kotturu V.V., 2020. "Design, optimization and performance comparison of solar tower and photovoltaic power plants," Energy, Elsevier, vol. 199(C).
    11. Cao, Yueming & Bai, Yunli & Zhang, Linxiu, 2021. "Plot Size, Adjacency, and Farmland Rental Contract Choice," 2021 Conference, August 17-31, 2021, Virtual 315378, International Association of Agricultural Economists.
    12. Thapa, Sridhar, 2007. "The relationship between farm size and productivity: empirical evidence from the Nepalese mid-hills," 106th Seminar, October 25-27, 2007, Montpellier, France 7940, European Association of Agricultural Economists.
    13. Shangkun Yu & Yi Miao & Mengcheng Li & Xiaoming Ding & Chengxin Wang & Wangsheng Dou, 2022. "Theoretical Development Model for Rural Settlements against Rural Shrinkage: An Empirical Study on Pingyin County, China," Land, MDPI, vol. 11(8), pages 1-20, August.
    14. Ashok K. Mishra & Anjani Kumar & Pramod K. Joshi & Alwin D'Souza, 2018. "Cooperatives, contract farming, and farm size: The case of tomato producers in Nepal," Agribusiness, John Wiley & Sons, Ltd., vol. 34(4), pages 865-886, October.
    15. Martina Novotná & Tomáš Volek, 2016. "The Significance of Farm Size in the Evaluation of Labour Productivity in Agriculture," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 64(1), pages 333-340.
    16. Xiaoheng Zhang & Xiaohua Yu & Xu Tian & Xianhui Geng & Yingheng Zhou, 2019. "Farm size, inefficiency, and rice production cost in China," Journal of Productivity Analysis, Springer, vol. 52(1), pages 57-68, December.
    17. Singh, R.K.P. & Kumar, Abhay & Singh, K.M. & Kumar, Anjani, 2014. "Agricultural Production performance on Small farm holdings: Some Empirical Evidences from Bihar, India," MPRA Paper 59680, University Library of Munich, Germany, revised 15 Oct 2014.
    18. Paudel, Gokul P. & KC, Dilli Bahadur & Rahut, Dil Bahadur & Khanal, Narayan P. & Justice, Scott E. & McDonald, Andrew J., 2019. "Smallholder farmers' willingness to pay for scale-appropriate farm mechanization: Evidence from the mid-hills of Nepal," Technology in Society, Elsevier, vol. 59(C).
    19. Kabibu Henry Muayila & Alain Kapemba Mujinga, 2018. "Technical Efficiency of Cassava's Producers in the Hinterland of Kinshasa, Democratic Republic of Congo," Post-Print hal-01831859, HAL.
    20. Nusrat Abedin Jimi & Plamen V. Nikolov & Mohammad Abdul Malek & Subal Kumbhakar, 2019. "The effects of access to credit on productivity: separating technological changes from changes in technical efficiency," Journal of Productivity Analysis, Springer, vol. 52(1), pages 37-55, December.

    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:10:y:2021:i:4:p:416-:d:536594. 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.