IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i19p10591-d642115.html
   My bibliography  Save this article

Research on the Scale of Agricultural Land Moderate Management and Countermeasures Based on Farm Household Analysis

Author

Listed:
  • Xin Yan

    (Department of Geography, College of Science, Shihezi University, Shihezi 832000, China
    Xinjiang Production and Construction Corps Key Laboratory of Oasis Town and Mountain-Basin System Ecology, Shihezi 832000, China)

  • Yuejian Wang

    (Department of Geography, College of Science, Shihezi University, Shihezi 832000, China
    Xinjiang Production and Construction Corps Key Laboratory of Oasis Town and Mountain-Basin System Ecology, Shihezi 832000, China)

  • Guang Yang

    (College of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi 832000, China
    Key Laboratory of Modern Water-Saving Irrigation Corps, Shihezi 832000, China)

  • Na Liao

    (Department of Geography, College of Science, Shihezi University, Shihezi 832000, China
    Xinjiang Production and Construction Corps Key Laboratory of Oasis Town and Mountain-Basin System Ecology, Shihezi 832000, China)

  • Fadong Li

    (College of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi 832000, China
    Institute of Geographical Sciences and Resources, Chinese Academy of Sciences, Beijing 100101, China
    School of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

The scale of agricultural land management was scientifically measured to provide a theoretical reference for improving the efficiency of agricultural land utilization, optimizing the industrial structure, and effectively solving the “three rural problems”. Based on 368 microfarmers’ agricultural land management questionnaire responses, the Cobb–Douglas production function was used to measure the average household size in different zones of Shawan City, Xinjiang, and then to calculate the total scale of moderate management in the region, and to divide the supplementary and reduced zones of arable land. The proposed countermeasures and suggestions for achieving the scale of moderate management from the perspectives of both people and land are presented. The results show the following: (1) the average suitable operating scales of households in the hilly area, the agricultural area in the oasis plain, and the oasis–desert interlace area were 5.15, 9.28, and 7.74 ha, respectively. (2) The moderate total scales of operation in the low hilly area, the middle oasis plain agricultural area, and the lower oasis–desert ecotone were 60,380, 112,510, and 115,500 ha, respectively. (3) Two areas, the low mountainous and hilly areas and the oasis plain farming areas, are supplementary areas of arable land, which should be supplemented by improving the management capacity of farmers, cultivating two new agricultural business entities, increasing land transfers, developing modern agriculture, and reducing the degree of fragmentation of arable land. The oasis–desert staggered area is the area where the scale of arable land is reduced. We should vigorously implement the work of retreating land and reducing water, and guide farmers to engage in secondary and tertiary industries so as to reduce the scale of arable land.

Suggested Citation

  • Xin Yan & Yuejian Wang & Guang Yang & Na Liao & Fadong Li, 2021. "Research on the Scale of Agricultural Land Moderate Management and Countermeasures Based on Farm Household Analysis," Sustainability, MDPI, vol. 13(19), pages 1-13, September.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:19:p:10591-:d:642115
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/19/10591/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/19/10591/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daniel A. Sumner, 2014. "American Farms Keep Growing: Size, Productivity, and Policy," Journal of Economic Perspectives, American Economic Association, vol. 28(1), pages 147-166, Winter.
    2. Ajay Kumar Singh & K.G.S. Narayanan & Pritee Sharma, 2017. "Effect of climatic factors on cash crop farming in India: an application of Cobb-Douglas production function model," International Journal of Agricultural Resources, Governance and Ecology, Inderscience Enterprises Ltd, vol. 13(2), pages 175-210.
    3. Yuan, Chaoqing & Liu, Sifeng & Wu, Junlong, 2009. "Research on energy-saving effect of technological progress based on Cobb-Douglas production function," Energy Policy, Elsevier, vol. 37(8), pages 2842-2846, August.
    4. H. S. Houthakker, 1955. "The Pareto Distribution and the Cobb-Douglas Production Function in Activity Analysis," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 23(1), pages 27-31.
    5. Wei, Taoyuan, 2007. "Impact of energy efficiency gains on output and energy use with Cobb-Douglas production function," Energy Policy, Elsevier, vol. 35(4), pages 2023-2030, April.
    6. Xindong Wei & Ning Wang & Pingping Luo & Jie Yang & Jian Zhang & Kangli Lin, 2021. "Spatiotemporal Assessment of Land Marketization and Its Driving Forces for Sustainable Urban–Rural Development in Shaanxi Province in China," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    7. Ichinose, Yuri & Higuchi, Hirokazu & Kubo, Ryosuke & Nishigaki, Tomohiro & Kilasara, Method & Shinjo, Hitoshi & Funakawa, Shinya, 2020. "Adaptation of farmland management strategies to maintain livelihood by the Chagga people in the Kilimanjaro highlands," Agricultural Systems, Elsevier, vol. 181(C).
    8. George E. Battese, 1997. "A Note On The Estimation Of Cobb‐Douglas Production Functions When Some Explanatory Variables Have Zero Values," Journal of Agricultural Economics, Wiley Blackwell, vol. 48(1‐3), pages 250-252, January.
    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. Yiqing Su & Qiaoyuan Huang & Qi Meng & Liangzhen Zang & Hua Xiao, 2023. "Socialized Farmland Operation—An Institutional Interpretation of Farmland Scale Management," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    2. Li Ma & Chuangang Li & Minghan Xin & Nan Sun & Yun Teng, 2023. "Analysis of Efficiency Differences and Research on Moderate Operational Scale of New Agricultural Business Entities in Northeast China," Sustainability, MDPI, vol. 15(12), pages 1-21, June.
    3. Guanglian Luo & Bin Wang & Ruiwei Li & Dongqi Luo & Chaofu Wei, 2022. "Study of the Agglomeration Characteristics of Cultivated Land in Underdeveloped Mountainous Areas Based on Spatial Auto-Correlation: A Case of Pengshui County, Chongqing, China," Land, MDPI, vol. 11(6), pages 1-14, June.

    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. Xue, Jian & Guo, Na & Zhao, Laijun & Zhu, Di & Ji, Xiaoqin, 2020. "A cooperative inter-provincial model for energy conservation based on futures trading," Energy, Elsevier, vol. 212(C).
    2. Paul E. Brockway & Matthew K. Heun & João Santos & John R. Barrett, 2017. "Energy-Extended CES Aggregate Production: Current Aspects of Their Specification and Econometric Estimation," Energies, MDPI, vol. 10(2), pages 1-23, February.
    3. Emre Berk & Onurcan Ayas & M. Ali Ülkü, 2023. "Optimizing Process-Improvement Efforts for Supply Chain Operations under Disruptions: New Structural Results," Sustainability, MDPI, vol. 15(17), pages 1-23, August.
    4. Fluhrer, Svenja & Kraehnert, Kati, 2022. "Sitting in the same boat: Subjective well-being and social comparison after an extreme weather event," Ecological Economics, Elsevier, vol. 195(C).
    5. Almeida, Alexandre N. & Bravo-Ureta, Boris E., 2019. "Agricultural productivity, shadow wages and off-farm labor decisions in Nicaragua," Economic Systems, Elsevier, vol. 43(1), pages 99-110.
    6. Maya Eden, 2017. "Misallocation and the Distribution of Global Volatility," American Economic Review, American Economic Association, vol. 107(2), pages 592-622, February.
    7. David Rezza Baqaee & Emmanuel Farhi, 2019. "The Macroeconomic Impact of Microeconomic Shocks: Beyond Hulten's Theorem," Econometrica, Econometric Society, vol. 87(4), pages 1155-1203, July.
    8. Wu, JunJie & Zilberman, David & Babcock, Bruce A., 2001. "Environmental and Distributional Impacts of Conservation Targeting Strategies," Journal of Environmental Economics and Management, Elsevier, vol. 41(3), pages 333-350, May.
    9. Nathan D. DeLay & Nathanael M. Thompson & James R. Mintert, 2022. "Precision agriculture technology adoption and technical efficiency," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 195-219, February.
    10. Edward Ebo ONUMAH & Bernhard BRÜMMER & Gabriele HÖRSTGEN-SCHWARK, 2010. "Productivity of the hired and family labour and determinants of technical inefficiency in Ghana's fish farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 56(2), pages 79-88.
    11. Taghizadeh-Hesary, Farhad & Rasoulinezhad, Ehsan & Shahbaz, Muhammad & Vinh Vo, Xuan, 2021. "How energy transition and power consumption are related in Asian economies with different income levels?," Energy, Elsevier, vol. 237(C).
    12. Céline Nauges & Jon Strand, 2017. "Water Hauling and Girls’ School Attendance: Some New Evidence from Ghana," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 66(1), pages 65-88, January.
    13. Wollni, Meike & Brümmer, Bernhard, 2012. "Productive efficiency of specialty and conventional coffee farmers in Costa Rica: Accounting for technological heterogeneity and self-selection," Food Policy, Elsevier, vol. 37(1), pages 67-76.
    14. Ezra Oberfield & Devesh Raval, 2021. "Micro Data and Macro Technology," Econometrica, Econometric Society, vol. 89(2), pages 703-732, March.
    15. Munir Ahmad, 2003. "Agricultural Productivity, Efficiency, and Rural Poverty in Irrigated Pakistan: A Stochastic Production FrontiermAnalysis," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 42(3), pages 219-248.
    16. Huiban, Jean-Pierre & Mastromarco, Camille & Musolesi, Antonio & Simioni, Michel, 2016. "The impact of pollution abatement investments on production technology: new insights from frontier analysis," Working Papers MOISA 235162, Institut National de la recherché Agronomique (INRA), UMR MOISA : Marchés, Organisations, Institutions et Stratégies d'Acteurs : CIHEAM-IAMM, CIRAD, INRA, Montpellier SupAgro, Montpellier, France.
    17. Karen Turner, 2013. ""Rebound" Effects from Increased Energy Efficiency: A Time to Pause and Reflect," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    18. Mengjie Tian & Mingyong Hong & Ji Wang, 2023. "Land resources, market-oriented reform and high-quality agricultural development," Economic Change and Restructuring, Springer, vol. 56(6), pages 4165-4197, December.
    19. Stern, David I., 1997. "Limits to substitution and irreversibility in production and consumption: A neoclassical interpretation of ecological economics," Ecological Economics, Elsevier, vol. 21(3), pages 197-215, June.
    20. Turner, Karen, 2009. "Negative rebound and disinvestment effects in response to an improvement in energy efficiency in the UK economy," Energy Economics, Elsevier, vol. 31(5), pages 648-666, September.

    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:jsusta:v:13:y:2021:i:19:p:10591-:d:642115. 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.