IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v228y2020ics0378377419312120.html
   My bibliography  Save this article

Study on factors affecting corn yield based on the Cobb-Douglas production function

Author

Listed:
  • Zhang, Qichen
  • Dong, Weihong
  • Wen, Chuanlei
  • Li, Tong

Abstract

This paper presents an analysis of the quantitative correlations between corn yield and its influencing factors in Daqing City, China by establishing a Cobb–Douglas production function model. The effective precipitation, corn planting area and chemical fertilizer and pesticide application rates were selected as the influencing factors of corn yield. Using the Cobb–Douglas production function model, the output elasticity and degree of influence for each factor on increasing grain yield were calculated. The current fertilizer and pesticide application rates, effective precipitation and planting area had positive effects on increasing corn yield, and the Daqing City area has the potential to produce more corn. Among the four influencing factors, the amounts of pesticide applications had the greatest impact on corn yield, followed by planting area, amounts of chemical fertilizer applications and, finally, effective precipitation. In this study, we used remote-sensing images combined with meteorological station data to calculate the effective precipitation in corn fields in Daqing City. The accuracy of this method was 0.01%–11.0% greater than that of the traditional effective precipitation calculation method. The innovation was the use of Thiessen polygons to calculate regional precipitation by combining satellite images with ground meteorological station data. The insufficient sensitivity of satellite inversion for precipitation (short and heavy rainfalls cannot be detected) and insufficient temporal resolution were avoided by using precipitation data from ground meteorological stations. Using satellite image interpretations, the weight coefficient of precipitation could be confirmed according to the location and size of the study area, improving the accuracy of Thiessen polygons in calculating regional precipitation. However, this method still has limitations. When calculating precipitation over a short time, it can be limited by the cloudiness of satellite images. When calculating the long-term precipitation trend, it can be limited by incomplete precipitation data from surface meteorological stations.

Suggested Citation

  • Zhang, Qichen & Dong, Weihong & Wen, Chuanlei & Li, Tong, 2020. "Study on factors affecting corn yield based on the Cobb-Douglas production function," Agricultural Water Management, Elsevier, vol. 228(C).
    • Handle: RePEc:eee:agiwat:v:228:y:2020:i:c:s0378377419312120
    DOI: 10.1016/j.agwat.2019.105869
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377419312120
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2019.105869?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. Yoshikawa, Natsuki & Shiozawa, Sho, 2006. "Estimating variable acreage of cultivated paddy fields from preceding precipitation in a tropical watershed utilizing Landsat TM/ETM," Agricultural Water Management, Elsevier, vol. 85(3), pages 296-304, October.
    2. Amita Majumder & Ranjan Ray & Kompal Sinha, 2012. "Calculating Rural-Urban Food Price Differentials from Unit Values in Household Expenditure Surveys: A Comparison with Existing Methods and A New Procedure," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(5), pages 1218-1235.
    3. Jagustović, Renata & Zougmoré, Robert B. & Kessler, Aad & Ritsema, Coen J. & Keesstra, Saskia & Reynolds, Martin, 2019. "Contribution of systems thinking and complex adaptive system attributes to sustainable food production: Example from a climate-smart village," Agricultural Systems, Elsevier, vol. 171(C), pages 65-75.
    4. Marek, Gary & Gowda, Prasanna & Marek, Thomas & Auvermann, Brent & Evett, Steven & Colaizzi, Paul & Brauer, David, 2016. "Estimating preseason irrigation losses by characterizing evaporation of effective precipitation under bare soil conditions using large weighing lysimeters," Agricultural Water Management, Elsevier, vol. 169(C), pages 115-128.
    5. Irmak, Suat & Kukal, Meetpal S. & Mohammed, Ali T. & Djaman, Koffi, 2019. "Disk-till vs. no-till maize evapotranspiration, microclimate, grain yield, production functions and water productivity," Agricultural Water Management, Elsevier, vol. 216(C), pages 177-195.
    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. Ostadzad, Ali Hossein, 2022. "Innovation and carbon emissions: Fixed-effects panel threshold model estimation for renewable energy," Renewable Energy, Elsevier, vol. 198(C), pages 602-617.
    2. Dayakar Peddi & B. Suresh Reddy, 2023. "Analysis of Irrigation Enhancement, Crop Diversification and Farm Profits: Evidence from Telangana State," Review of Development and Change, , vol. 28(2), pages 189-206, December.
    3. Zhengxiao Yan & Wei Zhou & Yuyi Wang & Xi Chen, 2022. "Comprehensive Analysis of Grain Production Based on Three-Stage Super-SBM DEA and Machine Learning in Hexi Corridor, China," Sustainability, MDPI, vol. 14(14), pages 1-21, 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. Gustavo Castilho Beruski & Luis Miguel Schiebelbein & André Belmont Pereira, 2020. "Maize Yield Components as Affected by Plant Population, Planting Date and Soil Coverings in Brazil," Agriculture, MDPI, vol. 10(12), pages 1-20, November.
    2. Hussein, Mohamud & Law, Cherry & Fraser, Iain, 2021. "An analysis of food demand in a fragile and insecure country: Somalia as a case study," Food Policy, Elsevier, vol. 101(C).
    3. Christophe Muller & Nouréini Sayouti, 2021. "How does information on minimum and maximum food prices affect measured monetary poverty? Evidence from Niger," AMSE Working Papers 2102, Aix-Marseille School of Economics, France, revised Oct 2021.
    4. Amita Majumder & Ranjan Ray & Kompal Sinha, 2015. "Estimating Purchasing Power Parities from Household Expenditure Data Using Complete Demand Systems with Application to Living Standards Comparison: India and Vietnam," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(2), pages 302-328, June.
    5. Kukal, M.S. & Irmak, S., 2020. "Impact of irrigation on interannual variability in United States agricultural productivity," Agricultural Water Management, Elsevier, vol. 234(C).
    6. Shohei Nakamura & Rawaa Harati & Somik V. Lall & Yuri M. Dikhanov & Nada Hamadeh & William Vigil Oliver & Marko Olavi Rissanen & Mizuki Yamanaka, 2019. "Is living in African cities expensive?," Applied Economics Letters, Taylor & Francis Journals, vol. 26(12), pages 1007-1012, July.
    7. Menggen Chen & Yan Wang & D. S. Prasada Rao, 2020. "Measuring the spatial price differences in China with regional price parity methods," The World Economy, Wiley Blackwell, vol. 43(4), pages 1103-1146, April.
    8. Amita Majumder & Ranjan Ray, 2020. "National and subnational purchasing power parity: a review," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 47(2), pages 103-124, June.
    9. Lizhen Bai & Xiangying Kong & Hui Li & Huibin Zhu & Chengwu Wang & Shiao Ma, 2022. "Effects of Conservation Tillage on Soil Properties and Maize Yield in Karst Regions, Southwest China," Agriculture, MDPI, vol. 12(9), pages 1-10, September.
    10. Gaddis,Isis, 2016. "Prices for poverty analysis in Africa," Policy Research Working Paper Series 7652, The World Bank.
    11. Silva, Andres & Etilé, Fabrice & Boizot-Szantai, Christine & Dharmasena, Senarath, 2013. "The Impact of Beverage Taxes on Quantity and Quality of Consumption in France," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150428, Agricultural and Applied Economics Association.
    12. Laureti Tiziana & Polidoro Federico, 2022. "Using Scanner Data for Computing Consumer Spatial Price Indexes at Regional Level: An Empirical Application for Grocery Products in Italy," Journal of Official Statistics, Sciendo, vol. 38(1), pages 23-56, March.
    13. Bain, Robert & Bartram, Jamie & Luyendijk, Rolf, 2013. "Universal Access to Drinking Water: The Role of Aid," WIDER Working Paper Series 088, World Institute for Development Economic Research (UNU-WIDER).
    14. Javier García-Enríquez & Cruz A. Echevarría, 2018. "Demand for culture in Spain and the 2012 VAT rise," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(3), pages 469-506, August.
    15. Irmak, Suat & Kukal, Meetpal S., 2019. "Disk-till vs. no-till maize grass- and alfalfa-reference single (average) and basal (dual) crop coefficients," Agricultural Water Management, Elsevier, vol. 226(C).
    16. Bielska, Anna & Stańczuk-Gałwiaczek, Małgorzata & Sobolewska-Mikulska, Katarzyna & Mroczkowski, Robert, 2021. "Implementation of the smart village concept based on selected spatial patterns – A case study of Mazowieckie Voivodeship in Poland," Land Use Policy, Elsevier, vol. 104(C).
    17. Amita Majumder & Ranjan Ray & Sattwick Santra, 2019. "The Calculation of Spatial Prices in the Absence of Unit Values: Alternative Methodologies with Empirical Evidence from India," Monash Economics Working Papers 12-18, Monash University, Department of Economics.
    18. Martina Menon & Federico Perali & Ranjan Ray & Nicola Tommasi, 2019. "The Tale of the Two Italies: Regional Price Parities Accounting for Differences in the Quality of Services," Working Papers 20/2019, University of Verona, Department of Economics.
    19. Ihsan F. Hasan & Rozi Abdullah, 2023. "Multivariate index for monitoring drought (case study, Northeastern of Iraq)," 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. 116(3), pages 3817-3837, April.
    20. Amita Majumder & Ranjan Ray & Sattwik Santra, 2016. "Global and Country Poverty Rates, Welfare Rankings of the Regions and Purchasing Power Parities: How Robust Are the Results?," Monash Economics Working Papers 11-16, Monash University, Department of Economics.

    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:agiwat:v:228:y:2020:i:c:s0378377419312120. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    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.