IDEAS home Printed from https://ideas.repec.org/a/spr/envpol/v25y2023i2d10.1007_s10018-022-00348-8.html
   My bibliography  Save this article

On the effects of climate variability on agricultural crops: evidence from an in-transition economy

Author

Listed:
  • Younes Ben Zaied

    (EDC Paris Business School)

  • Nidhaleddine Ben Cheikh

    (ESSCA School of Management)

  • Mbarek Rahmoun

    (King Abdulaziz University)

Abstract

The report by the IPPC (2007) estimated that 20% of all climate change effects will have an impact on the agricultural sector. While climate change has been identified as a key factor affecting yields and the availability and quality of agricultural products, empirical findings from the recent literature remain inconclusive as regards the effects of climatic elements—such as temperature and rainfall—on agricultural yields. This paper examines how weather affects the yields of agricultural crops while allowing for nonlinearity in the cause-effect transmission mechanism, and using an original database from different sources in Tunisia related to climate variables (temperature and rainfall) and regional crops (cereals) in 24 regions. We propose the implementation of a Panel Smooth Transition Regression (PSTR) approach which allows for a possible presence of threshold effects of temperature and rainfall on crop yields. Our results suggest that the positive impact of rainfall on crop productivity is reduced when the temperature is high. However, the rising temperature has more beneficial effects on crop yields if rainfalls enter the high regime. Therefore, adaptation measures are strongly recommended to cope with climatic conditions. For instance, a public policy related to the water demand management system that promotes the efficient use of scarce water resources would be helpful for privileging and subsidizing the areas that are threatened. Moreover, policymakers should consider encouraging the development of drought-tolerant crops, especially in Southern Tunisia, where global warming has caused a severe drought. In Northern Tunisia, adaptation measures may include choosing tree species and forestry practices less vulnerable to storms and fires, especially in Jendouba, the region of Tunisia that is highly forested.

Suggested Citation

  • Younes Ben Zaied & Nidhaleddine Ben Cheikh & Mbarek Rahmoun, 2023. "On the effects of climate variability on agricultural crops: evidence from an in-transition economy," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 25(2), pages 143-159, April.
  • Handle: RePEc:spr:envpol:v:25:y:2023:i:2:d:10.1007_s10018-022-00348-8
    DOI: 10.1007/s10018-022-00348-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10018-022-00348-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10018-022-00348-8?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. Wolfram Schlenker & Michael J. Roberts, 2006. "Nonlinear Effects of Weather on Corn Yields," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(3), pages 391-398.
    2. Waldman, Kurt B. & Richardson, Robert B., 2018. "Confronting Tradeoffs Between Agricultural Ecosystem Services and Adaptation to Climate Change in Mali," Ecological Economics, Elsevier, vol. 150(C), pages 184-193.
    3. Chen, Shuai & Chen, Xiaoguang & Xu, Jintao, 2016. "Impacts of climate change on agriculture: Evidence from China," Journal of Environmental Economics and Management, Elsevier, vol. 76(C), pages 105-124.
    4. González, Andrés & Teräsvirta, Timo & van Dijk, Dick & Yang, Yukai, 2005. "Panel Smooth Transition Regression Models," SSE/EFI Working Paper Series in Economics and Finance 604, Stockholm School of Economics, revised 11 Oct 2017.
    5. Qunying Luo, 2011. "Temperature thresholds and crop production: a review," Climatic Change, Springer, vol. 109(3), pages 583-598, December.
    6. Veljanoska, Stefanija, 2018. "Can Land Fragmentation Reduce the Exposure of Rural Households to Weather Variability?," Ecological Economics, Elsevier, vol. 154(C), pages 42-51.
    7. Amadu, Festus O. & Miller, Daniel C. & McNamara, Paul E., 2020. "Agroforestry as a pathway to agricultural yield impacts in climate-smart agriculture investments: Evidence from southern Malawi," Ecological Economics, Elsevier, vol. 167(C).
    8. Maia, Alexandre Gori & Miyamoto, Bruno César Brito & Garcia, Junior Ruiz, 2018. "Climate Change and Agriculture: Do Environmental Preservation and Ecosystem Services Matter?," Ecological Economics, Elsevier, vol. 152(C), pages 27-39.
    9. Wolfram Schlenker & Michael J. Roberts, 2008. "Estimating the Impact of Climate Change on Crop Yields: The Importance of Nonlinear Temperature Effects," NBER Working Papers 13799, National Bureau of Economic Research, Inc.
    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. Koffi M. Adji & Aklesso Y. G. Egbendewe & Boris O. K. Lokonon, 2022. "Potential impacts of sustainable agricultural practices on smallholders' behavior in developing countries: Evidence from Togo," Natural Resources Forum, Blackwell Publishing, vol. 46(1), pages 73-87, February.
    2. Fontes, Francisco & Gorst, Ashley & Palmer, Charles, 2020. "Does choice of drought index influence estimates of drought-induced rice losses in India?," Environment and Development Economics, Cambridge University Press, vol. 25(5), pages 459-481, October.
    3. Jean Galbert, ONGONO OLINGA, 2023. "Agricultural Productivity and Climate Change: An Evidence of a non-linear Relationship in Sub-Saharan Africa," MPRA Paper 117669, University Library of Munich, Germany.
    4. Chunhua Tang & Huiyuan Zhang & Jiamuyan Xie, 2022. "Optimal Contract Design in Contract Farming under Asymmetric Effort Information," Sustainability, MDPI, vol. 14(22), pages 1-17, November.
    5. Surender Kumar & Madhu Khanna, 2023. "Distributional heterogeneity in climate change impacts and adaptation: Evidence from Indian agriculture," Working papers 332, Centre for Development Economics, Delhi School of Economics.
    6. Sun, Baojing & van Kooten, G. Cornelis, 2012. "Climate Impacts on Chinese Corn Yields: A Fractional Polynomial Regression Model," Working Papers 127966, University of Victoria, Resource Economics and Policy.
    7. Daniel Morales Martínez & Alexandre Gori Maia & Junior Ruiz Garcia, 2022. "Spatial diffusion of efficient irrigation systems: a study of São Paulo, Brazil," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(3), pages 690-712, July.
    8. Chandio, Abbas Ali & Dash, Devi Prasad & Nathaniel, Solomon Prince & Sargani, Ghulam Raza & Jiang, Yuansheng, 2023. "Mitigation pathways towards climate change: Modelling the impact of climatological factors on wheat production in top six regions of China," Ecological Modelling, Elsevier, vol. 481(C).
    9. Surender Kumar & Madhu Khanna, 2023. "Distributional heterogeneity in climate change impacts and adaptation: Evidence from Indian agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 54(2), pages 147-160, March.
    10. Cécile Couharde & Rémi Generoso, 2015. "Hydro-climatic thresholds and economic growth reversals in developing countries: an empirical investigation," EconomiX Working Papers 2015-26, University of Paris Nanterre, EconomiX.
    11. Coudert, Virginie & Mignon, Valérie, 2013. "The “forward premium puzzle” and the sovereign default risk," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 491-511.
    12. Reitz, Stefan & Rülke, Jan & Stadtmann, Georg, 2012. "Nonlinear Expectations in Speculative Markets," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62045, Verein für Socialpolitik / German Economic Association.
    13. Simplice A. Asongu & Nicholas M. Odhiambo, 2020. "Insurance Policy Thresholds for Economic Growth in Africa," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 32(3), pages 672-689, July.
    14. Reitz, Stefan & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "Nonlinear expectations in speculative markets – Evidence from the ECB survey of professional forecasters," Journal of Economic Dynamics and Control, Elsevier, vol. 36(9), pages 1349-1363.
    15. Coudert, Virginie & Couharde, Cécile & Mignon, Valérie, 2015. "On the impact of volatility on the real exchange rate – terms of trade nexus: Revisiting commodity currencies," Journal of International Money and Finance, Elsevier, vol. 58(C), pages 110-127.
    16. Po-Chin Wu & Chung-Chih Lee, 2018. "The non-linear impact of monetary policy on international reserves: macroeconomic variables nexus," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(1), pages 165-185, February.
    17. Aragón, Fernando M. & Restuccia, Diego & Rud, Juan Pablo, 2022. "Are small farms really more productive than large farms?," Food Policy, Elsevier, vol. 106(C).
    18. Combes, Jean-Louis & Minea, Alexandru & Sawadogo, Pegdéwendé Nestor, 2021. "Does the composition of government spending matter for government bond spreads?," Economic Modelling, Elsevier, vol. 96(C), pages 409-420.
    19. Delpeuch, Claire & Leblois, Antoine, 2014. "The Elusive Quest for Supply Response to Cash-Crop Market Reforms in Sub-Saharan Africa: The Case of Cotton," World Development, Elsevier, vol. 64(C), pages 521-537.
    20. Wu, Po-Chin & Liu, Shiao-Yen & Pan, Sheng-Chieh, 2013. "Nonlinear bilateral trade balance-fundamentals nexus: A panel smooth transition regression approach," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 318-329.

    More about this item

    Keywords

    Climate change impacts; Cereal crops; Panel smooth transition regression models;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

    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:spr:envpol:v:25:y:2023:i:2:d:10.1007_s10018-022-00348-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.