IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i5p981-d1136340.html
   My bibliography  Save this article

Study on Spatiotemporal Evolution and Influencing Factors in Cultivated Land and Construction Land in Yunnan Province in the Past 20 Years Based on Remote Sensing Interpretation

Author

Listed:
  • Xueli Cai

    (Institute of Land & Resources and Sustainable Development, Yunnan University of Finance and Economics, Kunming 650221, China
    Institute of Targeted Poverty Alleviation and Development, Yunnan University of Finance and Economics, Kunming 650221, China)

  • Renyi Yang

    (Institute of Land & Resources and Sustainable Development, Yunnan University of Finance and Economics, Kunming 650221, China
    Institute of Targeted Poverty Alleviation and Development, Yunnan University of Finance and Economics, Kunming 650221, China
    School of Economics, Yunnan University of Finance and Economics, Kunming 650221, China)

Abstract

With the continuous development of China’s economy and the acceleration of urbanization, the phenomenon of high-quality cultivated land being converted to construction land is becoming increasingly prominent. In mountainous provinces such as Yunnan, the contradiction between cultivated land protection and blind expansion of construction land is becoming increasingly obvious. Based on the characteristic region of the mountainous province of Yunnan, this paper integrates remote sensing image interpretation of land use/land cover data in three phases (i.e., 2000, 2010, and 2020) with GIS technology and econometric methods. Through the interpretation of remote sensing images from 3 phases of Yunnan Province, a detailed calculation was conducted on the per capita cultivated land area (CULA) and per capita construction land area (COLA) and their changes in 129 counties in the province over the past 20 years (2000~2020). The spatiotemporal evolution laws and spatial pattern characteristics of CULA and COLA were analyzed, and then, the influencing factors in the quantitative characteristics of cultivated land and construction land in the province were studied further by using spatial econometric models. This study finds that the total and per capita CULA in Yunnan Province have significantly decreased over the past 20 years, which poses a threat to the national food security to a certain extent. At the same time, the total amounts of COLA and the per capita COLA have significantly increased, leading to the phenomenon of blind expansion and rough utilization of construction land. Compared with international research results, Yunnan can learn many lessons about controlling the reduction in CULA and the rapid expansion of COLA, among which the most important thing is to choose suitable urban and industrial development paths and adopt effective intensive land utilization methods. The research results of this study can provide a basic reference for mountainous provinces to formulate reasonable measures for cultivated land protection, prevent the disorderly expansion of construction land, and promote the coordinated development of urban and rural areas.

Suggested Citation

  • Xueli Cai & Renyi Yang, 2023. "Study on Spatiotemporal Evolution and Influencing Factors in Cultivated Land and Construction Land in Yunnan Province in the Past 20 Years Based on Remote Sensing Interpretation," Agriculture, MDPI, vol. 13(5), pages 1-28, April.
  • Handle: RePEc:gam:jagris:v:13:y:2023:i:5:p:981-:d:1136340
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/5/981/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/13/5/981/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jikun Huang & Scott Rozelle, 1995. "Environmental Stress and Grain Yields in China," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(4), pages 853-864.
    2. Harris, John R & Todaro, Michael P, 1970. "Migration, Unemployment & Development: A Two-Sector Analysis," American Economic Review, American Economic Association, vol. 60(1), pages 126-142, March.
    3. L. Sun & X. Li, 1997. "Driving Forces of Arable Land Conversion in China," Working Papers ir97076, International Institute for Applied Systems Analysis.
    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. A. Brismar, 1999. "Environmental Challenges and Impacts of Land-Use Conversion in the Yellow River Basin," Working Papers ir99016, International Institute for Applied Systems Analysis.
    2. Xiaobo Zhang & Timothy Mount & Richard Boisvert, 2004. "Industrialization, urbanization and land use in China," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 2(3), pages 207-224.
    3. K. Hubacek & L. Sun, 1999. "Land Use Change in China: A Scenario Analysis Based on Input- Output Modeling," Working Papers ir99073, International Institute for Applied Systems Analysis.
    4. Michelle Gilmartin & David Learmouth & J Kim Swales & Peter McGregor & Karen Turner, 2013. "Regional Policy Spillovers: The National Impact of Demand-Side Policy in an Interregional Model of the UK Economy," Environment and Planning A, , vol. 45(4), pages 814-834, April.
    5. Arguello, Ricardo & Jimenez, Dora, 2015. "Dutch Disease, Informality, and Employment Intensity in Colombia," Conference papers 332597, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    6. Jean-Louis Arcand & Linguère M'Baye, 2013. "Braving the waves: the role of time and risk preferences in illegal migration from Senegal," CERDI Working papers halshs-00855937, HAL.
    7. Hajer Habib, 2023. "Remittances and Labor Supply: Evidence from Tunisia," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 1870-1899, June.
    8. Chaudhuri, Sarbajit & Ghosh, Arnab & Banerjee, Dibyendu, 2018. "Can public subsidy on education necessarily improve wage inequality?," International Review of Economics & Finance, Elsevier, vol. 54(C), pages 165-177.
    9. Koichi Fukumura & Atsushi Yamagishi, 2020. "Minimum wage competition," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 27(6), pages 1557-1581, December.
    10. Pierre‐Richard Agénor, 2004. "Macroeconomic Adjustment and the Poor: Analytical Issues and Cross‐Country Evidence," Journal of Economic Surveys, Wiley Blackwell, vol. 18(3), pages 351-408, July.
    11. Dietrich Vollrath, 2009. "The dual economy in long-run development," Journal of Economic Growth, Springer, vol. 14(4), pages 287-312, December.
    12. Mohamed Amara & Hatem Jemmali, 2018. "Deciphering the Relationship Between Internal Migration and Regional Disparities in Tunisia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 313-331, January.
    13. Ather Maqsood Ahmed & Ismail Sirageldin, 1993. "Socio-economic Determinants of Labour Mobility in Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 32(2), pages 139-157.
    14. David G. Blanchflower & Andrew Oswald, 1995. "International Wage Curves," NBER Chapters, in: Differences and Changes in Wage Structures, pages 145-174, National Bureau of Economic Research, Inc.
    15. Milo Bianchi, 2012. "Financial Development, Entrepreneurship, and Job Satisfaction," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 273-286, February.
    16. repec:ebl:ecbull:v:6:y:2007:i:5:p:1-8 is not listed on IDEAS
    17. John Giles & Ren Mu, 2018. "Village Political Economy, Land Tenure Insecurity, and the Rural to Urban Migration Decision: Evidence from China," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(2), pages 521-544.
    18. Wang, Xiaobing & Yu, Xiaohua, 2011. "Scale Effects, Technical Efficiency and Land Lease in China," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 115736, European Association of Agricultural Economists.
    19. Anselem C. Nweke, 2019. "Rural-Urban Migration in Nigeria, Implication on the Development of the Society: Anambra State as the Focus of the Study," Journal of Public Administration and Governance, Macrothink Institute, vol. 9(2), pages 209-216, December.
    20. Albertini, Julien & Terriau, Anthony, 2019. "Informality over the life-cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 105(C), pages 182-202.
    21. Winters, P. & Kafle, K. & Benfica, R., 2018. "IFAD RESEARCH SERIES 21 - Does relative deprivation induce migration? Evidence from sub-Saharan Africa," IFAD Research Series 280070, International Fund for Agricultural Development (IFAD).

    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:13:y:2023:i:5:p:981-:d:1136340. 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.