IDEAS home Printed from https://ideas.repec.org/a/wly/ajagec/v106y2024i2p659-683.html
   My bibliography  Save this article

Understanding the effect of cover crop use on prevented planting losses

Author

Listed:
  • Sunjae Won
  • Roderick M. Rejesus
  • Barry K. Goodwin
  • Serkan Aglasan

Abstract

Cover cropping has the potential to improve resilience of agriculture to climate‐change‐induced extreme weather events. However, rigorous quantitative evidence on the resilience effect of cover crops is still lacking. Using a novel data set that combines satellite‐based cover crop information and county‐level crop insurance data, we examine the impact of planting cover crops on prevented‐planting‐related losses that are typically caused by heavy rainfall events. The US federal crop insurance program offers “prevented planting” coverage, which pays indemnities if insured growers are unable to plant their crop due to adverse weather. Linear fixed effects models, instrument‐based estimation methods, long‐difference models, and a number of other robustness checks are utilized in the empirical analysis to achieve the study objective. Our findings suggest that counties with higher cover crop adoption rates tend to have lower levels of crop insurance losses due to prevented planting. The resulting reduction in prevented planting risk also becomes larger with longer term, multiyear cover crop use. These results support the notion that cover crops improve soil conditions such that the likelihood and magnitude of prevented planting losses decrease. We posit that the ability of cover crops to handle excess moisture (i.e., through better water absorption and improved water infiltration in the soil) is the main factor in its ability to reduce prevented planting losses in the US Midwest.

Suggested Citation

  • Sunjae Won & Roderick M. Rejesus & Barry K. Goodwin & Serkan Aglasan, 2024. "Understanding the effect of cover crop use on prevented planting losses," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(2), pages 659-683, March.
    • Handle: RePEc:wly:ajagec:v:106:y:2024:i:2:p:659-683
    DOI: 10.1111/ajae.12396
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/ajae.12396
    Download Restriction: no
    File URL: https://libkey.io/10.1111/ajae.12396?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. Arthur Lewbel, 2012. "Using Heteroscedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 67-80.
    2. Lawson Connor & Roderick M. Rejesus & Mahmut Yasar, 2022. "Crop insurance participation and cover crop use: Evidence from Indiana county‐level data," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(4), pages 2181-2208, December.
    3. Kleibergen, Frank & Paap, Richard, 2006. "Generalized reduced rank tests using the singular value decomposition," Journal of Econometrics, Elsevier, vol. 133(1), pages 97-126, July.
    4. Edward D. Perry & Jisang Yu & Jesse Tack, 2020. "Using insurance data to quantify the multidimensional impacts of warming temperatures on yield risk," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    5. Jan F. Kiviet, 2013. "Identification and inference in a simultaneous equation under alternative information sets and sampling schemes," Econometrics Journal, Royal Economic Society, vol. 16(1), pages 24-59, February.
    6. Wang, Ruixue & Rejesus, Roderick M. & Tack, Jesse B. & Aglasan, Serkan, 2021. "Do higher temperatures influence how yields respond to increasing planting density?," Agricultural and Resource Economics Review, Cambridge University Press, vol. 50(2), pages 273-295, August.
    7. Marshall Burke & Kyle Emerick, 2016. "Adaptation to Climate Change: Evidence from US Agriculture," American Economic Journal: Economic Policy, American Economic Association, vol. 8(3), pages 106-140, August.
    8. Sebastian Kripfganz & Jan F. Kiviet, 2021. "kinkyreg: Instrument-free inference for linear regression models with endogenous regressors," Stata Journal, StataCorp LP, vol. 21(3), pages 772-813, September.
    9. Kiviet, Jan F., 2020. "Testing the impossible: Identifying exclusion restrictions," Journal of Econometrics, Elsevier, vol. 218(2), pages 294-316.
    10. Francis Annan & Wolfram Schlenker, 2015. "Federal Crop Insurance and the Disincentive to Adapt to Extreme Heat," American Economic Review, American Economic Association, vol. 105(5), pages 262-266, May.
    11. Boyer, Christopher N. & Aaron Smith, S., 2019. "Evaluating Changes to Prevented Planting Provision on Moral Hazard," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 51(2), pages 315-327, May.
    12. Ruixue Wang & Roderick M Rejesus & Serkan Aglasan, 2021. "Warming Temperatures, Yield Risk and Crop Insurance Participation [Federal crop insurance and the disincentive to adapt to extreme heat]," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(5), pages 1109-1131.
    13. Roderick M. Rejesus & Cesar L. Escalante & Ashley C. Lovell, 2005. "Share Tenancy, Ownership Structure, and Prevented Planting Claims in Crop Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(1), pages 180-193.
    14. Rejesus, Roderick M. & Coble, Keith H. & Miller, Mary France & Boyles, Ryan & Goodwin, Barry K & Knight, Thomas O., 2015. "Accounting for Weather Probabilities in Crop Insurance Rating," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 40(2), pages 1-19, May.
    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. Aglasan, Serkan & Rejesus, Roderick M., 2022. "Do Cover Crops Reduce Production Risk?," 2022 Annual Meeting, July 31-August 2, Anaheim, California 324776, Agricultural and Applied Economics Association.
    2. Christopher N. Boyer & Eunchun Park & Seong D. Yun, 2023. "Corn and soybean prevented planting acres response to weather," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(2), pages 970-983, June.
    3. Wang, Haining & Cheng, Zhiming, 2022. "Kids eat free: School feeding and family spending on education," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 196-212.
    4. Kiviet, Jan F., 2023. "Instrument-free inference under confined regressor endogeneity and mild regularity," Econometrics and Statistics, Elsevier, vol. 25(C), pages 1-22.
    5. Daniel Cooley & Steven M. Smith, 2022. "Center Pivot Irrigation Systems as a Form of Drought Risk Mitigation in Humid Regions," NBER Chapters, in: American Agriculture, Water Resources, and Climate Change, pages 135-171, National Bureau of Economic Research, Inc.
    6. Awaworyi Churchill, Sefa & Hayward, Mathew & Smyth, Russell & Trinh, Trong-Anh, 2023. "Crime, community social capital and entrepreneurship: Evidence from Australian communities," Journal of Business Venturing, Elsevier, vol. 38(2).
    7. Fang, Ming & Njangang, Henri & Padhan, Hemachandra & Simo, Colette & Yan, Cheng, 2023. "Social media and energy justice: A global evidence," Energy Economics, Elsevier, vol. 125(C).
    8. Serkan Aglasan & Barry K. Goodwin & Roderick M. Rejesus, 2023. "Risk effects of GM corn: Evidence from crop insurance outcomes and high‐dimensional methods," Agricultural Economics, International Association of Agricultural Economists, vol. 54(1), pages 110-126, January.
    9. Sajid, Osama & Ifft, Jennifer & Ortiz-Bobea, Ariel, 2023. "The impact of extreme weather on farm finance - evidence from Kansas," 2023 Annual Meeting, July 23-25, Washington D.C. 335443, Agricultural and Applied Economics Association.
    10. Pi, Lulu & Li, Zheng & Zheng, Xiaoyong & Rejesus, Roderick M., 2023. "Modeling the Relationship between Planting Density and Yield and Yield Risk Using a Flexible Estimation Framework," 2023 Annual Meeting, July 23-25, Washington D.C. 335514, Agricultural and Applied Economics Association.
    11. Lé Mathias, 2022. "The adaptation of economies to climate change: lessons from the economic research [L’adaptation des économies au changement climatique : les enseignements tirés de la recherche économique]," Bulletin de la Banque de France, Banque de France, issue 239.
    12. Hsing-Hsiang Huang & Michael R. Moore, 2018. "Farming under Weather Risk: Adaptation, Moral Hazard, and Selection on Moral Hazard," NBER Chapters, in: Agricultural Productivity and Producer Behavior, pages 77-124, National Bureau of Economic Research, Inc.
    13. David Rodriguez-Justicia & Bernd Theilen, 2023. "Ideological alignment, public sector size and tax morale: empirical evidence from OECD economies," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    14. Thanh‐Tung Nguyen & Trung Thanh Nguyen & Ulrike Grote, 2023. "Internet use and agricultural productivity in rural Vietnam," Review of Development Economics, Wiley Blackwell, vol. 27(3), pages 1309-1326, August.
    15. Fernando M. Aragón & Francisco Oteiza & Juan Pablo Rud, 2018. "Climate change and agriculture: farmer adaptation to extreme heat," IFS Working Papers W18/06, Institute for Fiscal Studies.
    16. Bruno Ćorić & Vladimir Šimić, 2021. "Economic disasters and aggregate investment," Empirical Economics, Springer, vol. 61(6), pages 3087-3124, December.
    17. Sarrias, Mauricio & Blanco, Alejandra, 2022. "Bodyweight and human capital development: Assessing the impact of obesity on socioemotional skills during childhood in Chile," Economics & Human Biology, Elsevier, vol. 47(C).
    18. Maurice J.G. Bun & Teresa D. Harrison, 2014. "OLS and IV estimation of regression models including endogenous interaction terms," UvA-Econometrics Working Papers 14-02, Universiteit van Amsterdam, Dept. of Econometrics.
    19. Sun, Xianming & Xiao, Shiyi & Ren, Xiaohang & Xu, Bing, 2023. "Time-varying impact of information and communication technology on carbon emissions," Energy Economics, Elsevier, vol. 118(C).
    20. Moteng, Ghislain & Raghutla, Chandrashekar & Njangang, Henri & Nembot, Luc Ndeffo, 2023. "International sanctions and energy poverty in target developing countries," Energy Policy, Elsevier, vol. 179(C).

    More about this item

    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:wly:ajagec:v:106:y:2024:i:2:p:659-683. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1467-8276 .

    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.