IDEAS home Printed from https://ideas.repec.org/a/gam/jecomi/v11y2023i7p173-d1178698.html

Revisiting the Impact of Dams on Malaria and Agriculture

Author

Listed:
  • Sebastien Mary

    (Department of Economics, Governors State University, University Park, IL 60484, USA)

  • Kyle Craven

    (Chicago Public Schools, Chicago, IL 60602, USA)

  • Avraham Stoler

    (Department of Economics, DePaul University, Chicago, IL 60614, USA)

  • Sarah Shafiq

    (Department of Economics, DePaul University, Chicago, IL 60614, USA)

Abstract

We estimate the effect of large dams on malaria incidence in India between 1975 and 1995. We combine instrumental variables approach with a panel model with unobserved common factors allowing us to fully capture the endogeneity of dam location and unobserved time-varying heterogeneity. Dams result in increased malaria incidence in districts where dams are located and in downstream areas. We find that the construction of a large dam increases a district’s annual malaria incidence by about 0.9 to 1.4 percent, and by about 1 to 1.5 percent in downstream districts. We also find that this malaria-increasing effect of dams persists over time. Our results imply that the construction of dams in malaria-sensitive areas should be coupled with direct interventions, such as the wide deployment of insecticide-treated nets or the roll-out of future vaccines. Furthermore, we examine the contribution of agricultural development to this malaria-increasing effect of dams. We find that dam construction benefits agriculture in the vicinity of dams, as well as in downstream areas. These positive effects are driven by increased irrigation and cultivation in the vicinity of dams, while they are driven by changes in cropping patterns in downstream areas, where the cultivation of high-yielding variety crops increases. Finally, a back-of-the-envelope calculation suggests that the agricultural production gains from dam construction dominate the economic losses resulting from increased malaria.

Suggested Citation

  • Sebastien Mary & Kyle Craven & Avraham Stoler & Sarah Shafiq, 2023. "Revisiting the Impact of Dams on Malaria and Agriculture," Economies, MDPI, vol. 11(7), pages 1-19, June.
  • Handle: RePEc:gam:jecomi:v:11:y:2023:i:7:p:173-:d:1178698
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7099/11/7/173/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7099/11/7/173/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Andrew Dillon & Ram Fishman, 2019. "Dams: Effects of Hydrological Infrastructure on Development," Annual Review of Resource Economics, Annual Reviews, vol. 11(1), pages 125-148, October.
    2. repec:bla:etrans:v:11:y:2003-03:i:1:p:67-91 is not listed on IDEAS
    3. Emmanuel Skoufias, 2003. "Consumption smoothing in Russia," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 11(1), pages 67-91, March.
    4. Sarsons, Heather, 2015. "Rainfall and conflict: A cautionary tale," Journal of Development Economics, Elsevier, vol. 115(C), pages 62-72.
    5. Solomon Asfaw & Alessandro Carraro & Benjamin Davis & Sudhanshu Handa & David Seidenfeld, 2017. "Cash transfer programmes, weather shocks and household welfare: evidence from a randomised experiment in Zambia," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 9(4), pages 419-442, October.
    6. Seung C. Ahn & Alex R. Horenstein, 2013. "Eigenvalue Ratio Test for the Number of Factors," Econometrica, Econometric Society, vol. 81(3), pages 1203-1227, May.
    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. Le Clech, Néstor A., 2024. "Policy market orientation, property rights, and corruption effects on the rent of non-renewable resources in Latin America and the Caribbean," Resources Policy, Elsevier, vol. 91(C).

    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. repec:ags:aaea22:335448 is not listed on IDEAS
    2. Mary, Sebastien J. & Stoler, Avraham & Shafiq, Sarah & Craven, Kyle, 2023. "Dams of Malaria," 2023 Annual Meeting, July 23-25, Washington D.C. 335448, Agricultural and Applied Economics Association.
    3. Mary, Sebastien, 2022. "Dams mitigate the effect of rainfall shocks on Hindus-Muslims riots," World Development, Elsevier, vol. 150(C).
    4. Wu, Jianhong, 2019. "Detecting irrelevant variables in possible proxies for the latent factors in macroeconomics and finance," Economics Letters, Elsevier, vol. 176(C), pages 60-63.
    5. Adan Guyo Shibia, 2024. "Households’ coping mechanisms with droughts and floods using finance, non-finance and the social safety net measures: evidence from Kenya," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(9), pages 22237-22259, September.
    6. Sara Balestri & Raul Caruso, 2024. "Vulnerability to Climate Change and Communal Conflicts: Evidence from Sub-Saharan Africa and South/South-East Asia," Journal of Development Studies, Taylor & Francis Journals, vol. 60(10), pages 1530-1556, October.
    7. GUO-FITOUSSI, Liang, 2013. "A Comparison of the Finite Sample Properties of Selection Rules of Factor Numbers in Large Datasets," MPRA Paper 50005, University Library of Munich, Germany.
    8. Tom Boot & Bart Keijsers, 2025. "Diffusion index forecasts under weaker loadings: PCA, ridge regression, and random projections," Papers 2506.09575, arXiv.org.
    9. Tomohiro Ando & Ruey S. Tsay, 2014. "A Predictive Approach for Selection of Diffusion Index Models," Econometric Reviews, Taylor & Francis Journals, vol. 33(1-4), pages 68-99, June.
    10. Chen, Qitong & Hong, Yongmiao & Li, Haiqi, 2024. "Time-varying forecast combination for factor-augmented regressions with smooth structural changes," Journal of Econometrics, Elsevier, vol. 240(1).
    11. Zhaoxing Gao & Ruey S. Tsay, 2021. "Divide-and-Conquer: A Distributed Hierarchical Factor Approach to Modeling Large-Scale Time Series Data," Papers 2103.14626, arXiv.org.
    12. Francesco Trebbi & Eric Weese, 2019. "Insurgency and Small Wars: Estimation of Unobserved Coalition Structures," Econometrica, Econometric Society, vol. 87(2), pages 463-496, March.
    13. Martin-Shields, Charles P. & Stojetz, Wolfgang, 2019. "Food security and conflict: Empirical challenges and future opportunities for research and policy making on food security and conflict," World Development, Elsevier, vol. 119(C), pages 150-164.
    14. Jan Radovan & Igor Masten, 2025. "Nowcasting economic activity in a small open CESEE economy using mixed frequency data," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 52(4), pages 721-776, November.
    15. Stoeffler, Quentin & Patrick, Premand, "undated". "Do cash transfer increase poor household resilience? Evidence from rural Niger," 2018 Annual Meeting, August 5-7, Washington, D.C. 274216, Agricultural and Applied Economics Association.
    16. Li, Hongjun & Li, Qi & Shi, Yutang, 2017. "Determining the number of factors when the number of factors can increase with sample size," Journal of Econometrics, Elsevier, vol. 197(1), pages 76-86.
    17. Shuquan Yang & Nengxiang Ling & Yulin Gong, 2022. "Robust estimation of the number of factors for the pair-elliptical factor models," Computational Statistics, Springer, vol. 37(3), pages 1495-1522, July.
    18. Fan, Jianqing & Jiang, Bai & Sun, Qiang, 2022. "Bayesian factor-adjusted sparse regression," Journal of Econometrics, Elsevier, vol. 230(1), pages 3-19.
    19. Givord, Pauline & Quantin, Simon & Trevien, Corentin, 2018. "A long-term evaluation of the first generation of French urban enterprise zones," Journal of Urban Economics, Elsevier, vol. 105(C), pages 149-161.
    20. Alain-Philippe Fortin & Patrick Gagliardini & O. Scaillet, 2022. "Eigenvalue tests for the number of latent factors in short panels," Swiss Finance Institute Research Paper Series 22-81, Swiss Finance Institute.
    21. Chuliá, Helena & Garrón, Ignacio & Uribe, Jorge M., 2024. "Daily growth at risk: Financial or real drivers? The answer is not always the same," International Journal of Forecasting, Elsevier, vol. 40(2), pages 762-776.

    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:gam:jecomi:v:11:y:2023:i:7:p:173-:d:1178698. 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 The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (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.