IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i3p418-d93063.html
   My bibliography  Save this article

The Effects of Weather on Oilseed Rape (OSR) Yield in China: Future Implications of Climate Change

Author

Listed:
  • Yaqin He

    (Department of Agricultural Economics and Management, College of Economics and Management, Jiangxi Agricultural University, Nanchang 330045, China
    Department of Agricultural Economics and Management, College of Economics and Management, Huazhong Agricultural University, Wuhan 430070, China)

  • Brian J. Revell

    (Harper Adams University, Newport TF10 8NB, UK)

  • Bofeng Leng

    (Department of Agricultural Economics and Management, College of Economics and Management, Huazhong Agricultural University, Wuhan 430070, China)

  • Zhongchao Feng

    (Department of Economics, College of Economics and Management, Huazhong Agricultural University, Wuhan 430070, China)

Abstract

Understanding the role of climatic factors on crop yields is essential in predicting the future impact of climate change. In order to understand the influence of climatic factors on OSR, detailed farm-level panel data from 2566 farms across 67 counties of the 6 major OSR production regions in China, from the surveys conducted by the national OSR industry project between 2008 and 2013, were used to examine the contribution of changes in selected climatic variables between 2008 and 2013 to yield variation. Spatial and temporal patterns of the relationships between OSR yield, climatic factors were estimated together with the effects of farmer adaptation and management practices on yield variability. The analysis revealed that yields in the low-latitude production regions were more sensitive to temperature increases and likely to decline. Precipitation iwas the most influential factor on yield at the first two growth stages; temperature and sunshine hours were most important at the third and fourth growth stages, respectively. Labour input was the most influential management factor affecting yields compared with fertilizer and other inputs. The study concludes that projection of future climate change impacts will need inter alia to incorporate more sophisticated and detailed measures of climatic variables than simple means of temperature and precipitation, incorporating timing in relation to plant growth and yield.

Suggested Citation

  • Yaqin He & Brian J. Revell & Bofeng Leng & Zhongchao Feng, 2017. "The Effects of Weather on Oilseed Rape (OSR) Yield in China: Future Implications of Climate Change," Sustainability, MDPI, vol. 9(3), pages 1-14, March.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:3:p:418-:d:93063
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/3/418/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/9/3/418/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. You, Liangzhi & Rosegrant, Mark W. & Fang, Cheng & Wood, Stanley, 2005. "Impact of global warming on Chinese wheat productivity:," EPTD discussion papers 143, International Food Policy Research Institute (IFPRI).
    2. Deepak K. Ray & James S. Gerber & Graham K. MacDonald & Paul C. West, 2015. "Climate variation explains a third of global crop yield variability," Nature Communications, Nature, vol. 6(1), pages 1-9, May.
    3. Ethan E. Butler & Peter Huybers, 2013. "Adaptation of US maize to temperature variations," Nature Climate Change, Nature, vol. 3(1), pages 68-72, January.
    4. Robert Scealy & David Newth & Don Gunasekera & John Finnigan, 2012. "Effects of Variation in the Grains Sector Response to Climate Change: An Integrated Assessment," Economic Papers, The Economic Society of Australia, vol. 31(3), pages 327-336, September.
    5. Lin, Justin Yifu, 1992. "Rural Reforms and Agricultural Growth in China," American Economic Review, American Economic Association, vol. 82(1), pages 34-51, March.
    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. Kamini Yadav & Hatim M. E. Geli, 2021. "Prediction of Crop Yield for New Mexico Based on Climate and Remote Sensing Data for the 1920–2019 Period," Land, MDPI, vol. 10(12), pages 1-27, December.
    2. Balsher Singh Sidhu & Zia Mehrabi & Milind Kandlikar & Navin Ramankutty, 2022. "On the relative importance of climatic and non-climatic factors in crop yield models," Climatic Change, Springer, vol. 173(1), pages 1-21, July.
    3. Wang, Hui & Riedinger, Jeffrey & Jin, Songqing, 2015. "Land documents, tenure security and land rental development: Panel evidence from China," China Economic Review, Elsevier, vol. 36(C), pages 220-235.
    4. Tao Yang, Dennis, 2004. "Education and allocative efficiency: household income growth during rural reforms in China," Journal of Development Economics, Elsevier, vol. 74(1), pages 137-162, June.
    5. Stephen Shaw & Dhaval Mehta & Susan Riha, 2014. "Using simple data experiments to explore the influence of non-temperature controls on maize yields in the mid-West and Great Plains," Climatic Change, Springer, vol. 122(4), pages 747-755, February.
    6. 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.
    7. Fernando M. Aragon, 2014. "Do better property rights improve local income?: Evidence from First Nations' treaties," Discussion Papers dp14-02, Department of Economics, Simon Fraser University.
    8. Justin Lin & Peilin Liu, 2006. "Economic Development Strategy, Openness and Rural Poverty: A Framework and China's Experiences," WIDER Working Paper Series RP2006-43, World Institute for Development Economic Research (UNU-WIDER).
    9. Cao, Juan & Zhang, Zhao & Tao, Fulu & Chen, Yi & Luo, Xiangzhong & Xie, Jun, 2023. "Forecasting global crop yields based on El Nino Southern Oscillation early signals," Agricultural Systems, Elsevier, vol. 205(C).
    10. Chih-HAI YANG & Leah WU & Hui-Lin LIN, 2010. "Analysis of total-factor cultivated land efficiency in China's agriculture," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 56(5), pages 231-242.
    11. Cai, Yiyong & Newth, David & Finnigan, John & Gunasekera, Don, 2015. "A hybrid energy-economy model for global integrated assessment of climate change, carbon mitigation and energy transformation," Applied Energy, Elsevier, vol. 148(C), pages 381-395.
    12. Jieming Zhu, 2005. "A Transitional Institution for the Emerging Land Market in Urban China," Urban Studies, Urban Studies Journal Limited, vol. 42(8), pages 1369-1390, July.
    13. Vorotnikova, Ekaterina & Seale, James, 2014. "Land Allocation Dynamics in China among Five Top Staple Crops: Corn, Soybeans, Wheat, Rice, and Cotton from 1985-2009," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 162539, Southern Agricultural Economics Association.
    14. Bao, Xiaojia & Galiani, Sebastian & Li, Kai & Long, Cheryl Xiaoning, 2023. "Where have all the children gone? An empirical study of child abandonment and abduction in China," Journal of Economic Behavior & Organization, Elsevier, vol. 208(C), pages 95-119.
    15. Jeetendra Prakash Aryal & Tek B. Sapkota & Ritika Khurana & Arun Khatri-Chhetri & Dil Bahadur Rahut & M. L. Jat, 2020. "Climate change and agriculture in South Asia: adaptation options in smallholder production systems," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(6), pages 5045-5075, August.
    16. Rosa Carbonell-Bojollo & Oscar Veroz-Gonzalez & Rafaela Ordoñez-Fernandez & Manuel Moreno-Garcia & Gottlieb Basch & Amir Kassam & Miguel A. Repullo-Ruiberriz de Torres & Emilio J. Gonzalez-Sanchez, 2019. "The Effect of Conservation Agriculture and Environmental Factors on CO 2 Emissions in a Rainfed Crop Rotation," Sustainability, MDPI, vol. 11(14), pages 1-19, July.
    17. Xu, Chenggang & Zhang, Xiaobo, 2009. "The evolution of Chinese entrepreneurial firms: Township-village enterprises revisited," IFPRI discussion papers 854, International Food Policy Research Institute (IFPRI).
    18. Sudip Ranjan Basu, 2005. "Correlating Growth with Well-Being during Economic Reforms Evidence from India and China," Development and Comp Systems 0509010, University Library of Munich, Germany.
    19. Torsten Heinrich & Jangho Yang & Shuanping Dai, 2020. "Growth, development, and structural change at the firm-level: The example of the PR China," Papers 2012.14503, arXiv.org.
    20. Qu, Zhaopeng (Frank) & Zhao, Zhong, 2008. "Urban-Rural Consumption Inequality in China from 1988 to 2002: Evidence from Quantile Regression Decomposition," IZA Discussion Papers 3659, Institute of Labor Economics (IZA).

    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:9:y:2017:i:3:p:418-:d:93063. 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.