IDEAS home Printed from https://ideas.repec.org/p/ags/iaae18/277236.html

Estimating the Contribution of New Seed Cultivars to Crop Yield Increases: Method and Application

Author

Listed:
  • Qian, J.
  • Zhao, Z.

Abstract

Assessing the contribution made by new seed cultivars to nationwide yield increases is critically important to planning for future yields. This study focuses on a method that enables the contribution of seed cultivars to nationwide yield increases to be estimated by means of dividing the study period into several diffusion periods characterised by the replacement of major seed cultivars and by specifying a yield response model that incorporates a series of dummy variables to capture net increases due to new cultivar diffusion in each such period. Using this method, the contributions over the base period were estimated to be 1303.8 kg/ha, 523.0 kg/ha, 1179.5 kg/ha, 316.9 kg/ha, 196.8 kg/ha, and 414.2 kg/ha for rice, wheat, corn, soybeans, cotton, and rapeseed, respectively, accounting for 47.9%, 33.3%, 47.6%, 41.4%, 34.0%, and 46.5% of total yield increases, respectively. This method has several advantages, being concise, easy to use, and flexible; further, it can distinguish historical contributions of seed and can therefore be used for tracking assessments. It is thus likely to be applicable in several practical ways to measure the developmental status of both seed breeding technologies and agricultural techniques. Acknowledgement : This research is financially supported by the Agricultural Science and Technology Innovation Program (ASTIP-IAED-2017-05), the Project Sponsored by the Ministry of Agriculture of the People s Republic of China (11162130109236061), and the Project Sponsored by the Basic Research Foundation for the Central Public Institutes (Y2016ZK20)

Suggested Citation

  • Qian, J. & Zhao, Z., 2018. "Estimating the Contribution of New Seed Cultivars to Crop Yield Increases: Method and Application," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277236, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae18:277236
    DOI: 10.22004/ag.econ.277236
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/277236/files/1433.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.277236?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
    ---><---

    References listed on IDEAS

    as
    1. Marc Nerlove, 1956. "Estimates of the Elasticities of Supply of Selected Agricultural Commodities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 38(2), pages 496-509.
    2. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    3. Brennan, John P., 1984. "Measuring the Contribution of New Varieties to Increasing Wheat Yields," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 52(03), pages 1-21, December.
    4. Ben C. French & Jim L. Matthews, 1971. "A Supply Response Model for Perennial Crops," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 53(3), pages 478-490.
    5. Mushtaq, Khalid & Dawson, P. J., 2002. "Acreage response in Pakistan: a co-integration approach," Agricultural Economics, Blackwell, vol. 27(2), pages 111-121, August.
    6. Marc Nerlove & Kenneth L. Bachman, 1960. "The Analysis of Changes in Agricultural Supply: Problems and Approaches," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 42(3), pages 531-554.
    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. Jiarong Qian & Zhijun Zhao, 2017. "Estimating the Contribution of New Seed Cultivars to Increases in Crop Yields: A Case Study for Corn," Sustainability, MDPI, vol. 9(7), pages 1-11, July.
    2. Jeffrey D. Vitale & Hamady Djourra & Aminata Sidibé, 2009. "Estimating the supply response of cotton and cereal crops in smallholder production systems: recent evidence from Mali," Agricultural Economics, International Association of Agricultural Economists, vol. 40(5), pages 519-533, September.
    3. Donato, Romano & Carraro, Alessandro, 2015. "Modelling Acreage, Production and Yield Supply Response to Domestic Price Volatility," 2015 Fourth Congress, June 11-12, 2015, Ancona, Italy 207278, Italian Association of Agricultural and Applied Economics (AIEAA).
    4. Ndayitwayeko, W-M. & Odhiambo, M.O. & Nyangweso, P.M. & Korir, M.K., 2012. "Determinants of Beef Meat Supply in Burundi: A Vector Error Correction Model Approach Applied to structural Nerlov Paradign," 2012 Eighth AFMA Congress, November 25-29, 2012, Nairobi, Kenya 159414, African Farm Management Association (AFMA).
    5. Haile, M.G. & Kalkuhl, M., . "Volatility in the international food markets: implications for global agricultural supply and for market and price policy," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 49.
    6. Abeysekara, M. G. D. & Prasada, D. V. P., . "An Empirical Analysis of the Supply Response of Coconut by Vector Error Correction Approach: Cross Country Comparison," Sri Lankan Journal of Agricultural Economics, Sri Lanka Agricultural Economics Association (SAEA), vol. 23(01).
    7. Scott, Paul, 2014. "Dynamic Discrete Choice Estimation of Agricultural Land Use," TSE Working Papers 14-526, Toulouse School of Economics (TSE).
    8. repec:isu:genstf:201701010800006585 is not listed on IDEAS
    9. Magrini, Emiliano & Morales-Opazo, Cristian & Balie, Jean, 2014. "Supply response along the value chain in selected SSA countries: the case of grains," 2014: Food, Resources and Conflict, December 7-9, 2014. San Diego, California 197193, International Agricultural Trade Research Consortium.
    10. Stigler, Matthieu M., "undated". "Supply response at the field-level: disentangling area and yield effects," 2018 Annual Meeting, August 5-7, Washington, D.C. 274343, Agricultural and Applied Economics Association.
    11. Umanath Malaiarasan & R. Paramasivam & K. Thomas Felix & S. J. Balaji, 2020. "Simultaneous equation model for Indian sugar sector," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 22(1), pages 113-141, June.
    12. Jiarong Qian & Shoichi Ito & Zhijun Zhao, 2020. "The effect of price support policies on food security and farmers’ income in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(4), pages 1328-1349, October.
    13. Haile, Mekbib G. & Kalkuhl, Matthias, 2013. "Agricultural supply response to international food prices and price volatility: a crosscountry panel analysis," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149630, Agricultural and Applied Economics Association.
    14. Shengying Zhai & Qihui Chen & Wenxin Wang, 2019. "What Drives Green Fodder Supply in China?—A Nerlovian Analysis with LASSO Variable Selection," Sustainability, MDPI, vol. 11(23), pages 1-17, November.
    15. Yao, Ling & Chen, Qihui & Wu, Laping, "undated". "Heterogeneous supply response: Does high price expectation attenuate the inverse farm size-productivity relationship in China?," 2018 Annual Meeting, August 5-7, Washington, D.C. 274363, Agricultural and Applied Economics Association.
    16. Catherine Hausman & Maximilian Auffhammer & Peter Berck, 2012. "Farm Acreage Shocks and Crop Prices: An SVAR Approach to Understanding the Impacts of Biofuels," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 53(1), pages 117-136, September.
    17. Rodrigo Mujica & Juan Ignacio Varas & Rosa María Contesse, 1991. "El Impacto de las Políticas de Fomento a las Exportaciones en la Uva de Mesa Chilena," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 28(85), pages 411-432.
    18. Erbynn, William Kobena Gyapea, 1968. "Econometric analysis of the citrus cycle in the United States and two selected regions," ISU General Staff Papers 196801010800004543, Iowa State University, Department of Economics.
    19. Rodrigo Mujica & Hermann Oncken, 1984. "Análisis Econométrico de la Industria Vitivinícola en Chile," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 21(64), pages 315-328.
    20. Jonathon Siegle & Gregory Astill & Zoë Plakias & Daniel Tregeagle, 2024. "Estimating perennial crop supply response: A methodology literature review," Agricultural Economics, International Association of Agricultural Economists, vol. 55(2), pages 159-180, March.
    21. Anbes Tenaye, 2020. "New Evidence Using a Dynamic Panel Data Approach: Cereal Supply Response in Smallholder Agriculture in Ethiopia," Economies, MDPI, vol. 8(3), pages 1-24, July.

    More about this item

    Keywords

    ;

    Statistics

    Access and download statistics

    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:ags:iaae18:277236. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.html .

    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.