IDEAS home Printed from https://ideas.repec.org/p/idb/brikps/7505.html
   My bibliography  Save this paper

Estimating the Impacts of a Fruit Fly Eradication Program in Peru: A Geographical Regression Discontinuity Approach

Author

Listed:
  • Salazar, Lina
  • Maffioli, Alessandro
  • Aramburu, Julián
  • Agurto Adrianzen, Marcos

Abstract

In this paper, we evaluate the short term impact of a Fruit Fly Eradication Program in the coastal areas of Peru. Exploiting arbitrary variation in the program's intervention borders, as well as precise geographic location data of farmer's households, we use a Geographical Regression Discontinuity (GRD) approach to identify the program's effects on agricultural outcomes. For this purpose, baseline and follow up surveys were collected for 615 households -307 treated and 308 controls- . Baseline data shows that producer and farm-level characteristics in treated and control areas are balanced. This confirms that the program's intervention borders were set only as a function of financial and logistic restrictions and independently of the pest incidence levels and/or other producer and/or farm characteristics. The results show that farmers in treated areas improved pest knowledge and are more likely to implement best practices for plague prevention and control. Beneficiary farmers also present increased fruit crops productivity and sales. The robustness of these findings is confirmed using placebo tests.

Suggested Citation

  • Salazar, Lina & Maffioli, Alessandro & Aramburu, Julián & Agurto Adrianzen, Marcos, 2016. "Estimating the Impacts of a Fruit Fly Eradication Program in Peru: A Geographical Regression Discontinuity Approach," IDB Publications (Working Papers) 7505, Inter-American Development Bank.
  • Handle: RePEc:idb:brikps:7505
    as

    Download full text from publisher

    File URL: https://publications.iadb.org/publications/english/document/Estimating-the-Impacts-of-a-Fruit-Fly-Eradication-Program-in-Peru-A-Geographical-Regression-Discontinuity-Approach.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Keele, Luke J. & Titiunik, Rocío, 2015. "Geographic Boundaries as Regression Discontinuities," Political Analysis, Cambridge University Press, vol. 23(1), pages 127-155, January.
    2. Sandra E. Black, 1999. "Do Better Schools Matter? Parental Valuation of Elementary Education," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 577-599.
    3. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    4. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    5. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    6. Roxana Barrantes & Juan José Miranda, 2006. "Impacto del Proyecto de Control, Supresión y Erradicación de la Mosca de la Fruta en las Exportaciones Peruanas: Un Análisis Empirico," Capítulos de Libros PUCP / Chapters of PUCP books, in: : Javier Iguiñiz & Javier Escobal & Carlos Ivan Degregori (ed.), Perú: El Problema Agrario en Debate, edition 1, chapter 11, pages 377-410, Fondo Editorial - Pontificia Universidad Católica del Perú.
    7. Sebastian Calonico & Matias D. Cattaneo & Rocío Titiunik, 2015. "Optimal Data-Driven Regression Discontinuity Plots," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1753-1769, December.
    8. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    9. Datar, Gayatri & Del Carpio, Ximena V., 2009. "Are irrigation rehabilitation projects good for poor farmers in Peru ?," Policy Research Working Paper Series 5154, The World Bank.
    10. Posner, Daniel N., 2004. "The Political Salience of Cultural Difference: Why Chewas and Tumbukas Are Allies in Zambia and Adversaries in Malawi," American Political Science Review, Cambridge University Press, vol. 98(4), pages 529-545, November.
    11. Gregory A. Huber & Kevin Arceneaux, 2007. "Identifying the Persuasive Effects of Presidential Advertising," American Journal of Political Science, John Wiley & Sons, vol. 51(4), pages 957-977, October.
    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. Mauricio Villamizar‐Villegas & Freddy A. Pinzon‐Puerto & Maria Alejandra Ruiz‐Sanchez, 2022. "A comprehensive history of regression discontinuity designs: An empirical survey of the last 60 years," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1130-1178, September.
    2. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.
    3. Genqiang Lei & Xiaohong Huang & Penghui Xi, 2016. "The impact of transfer payments on urban-rural income gap: based on fuzzy RD analysis of China’s midwestern county data," China Finance and Economic Review, Springer, vol. 4(1), pages 1-17, December.
    4. Luís Felipe Batista de Oliveira & Rafael Terra, 2016. "Impact of school day extension on educational outcomes: evidence from Mais Educação in Brazil," One Pager 329, International Policy Centre for Inclusive Growth.
    5. Bauer, Thomas K. & Bender, Stefan & Paloyo, Alfredo R. & Schmidt, Christoph M., 2012. "Evaluating the labor-market effects of compulsory military service," European Economic Review, Elsevier, vol. 56(4), pages 814-829.
    6. Thomas Barrios & Rebecca Diamond & Guido W. Imbens & Michal Kolesár, 2012. "Clustering, Spatial Correlations, and Randomization Inference," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(498), pages 578-591, June.
    7. Paul Gaggl & Greg C. Wright, 2017. "A Short-Run View of What Computers Do: Evidence from a UK Tax Incentive," American Economic Journal: Applied Economics, American Economic Association, vol. 9(3), pages 262-294, July.
    8. Jeffrey Smith & Arthur Sweetman, 2016. "Viewpoint: Estimating the causal effects of policies and programs," Canadian Journal of Economics, Canadian Economics Association, vol. 49(3), pages 871-905, August.
    9. Gomberg, Andrei & Gutiérrez, Emilio & López, Paulina & Vázquez, Alejandra, 2019. "Coattails and the forces that drive them: Evidence from Mexico," European Journal of Political Economy, Elsevier, vol. 58(C), pages 64-81.
    10. Daniel Mejía & Pascual Restrepo & Sandra V. Rozo, 2017. "On the Effects of Enforcement on Illegal Markets: Evidence from a Quasi-Experiment in Colombia," The World Bank Economic Review, World Bank, vol. 31(2), pages 570-594.
    11. Cuong NGUYEN, 2016. "An Introduction to Alternative Methods in Program Impact Evaluation," Journal of Economic and Social Thought, KSP Journals, vol. 3(3), pages 349-375, September.
    12. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    13. Kettlewell, Nathan & Siminski, Peter, 2020. "Optimal Model Selection in RDD and Related Settings Using Placebo Zones," IZA Discussion Papers 13639, Institute of Labor Economics (IZA).
    14. de Jong, Gerben & Behrens, Christiaan & van Ommeren, Jos, 2019. "Airline loyalty (programs) across borders: A geographic discontinuity approach," International Journal of Industrial Organization, Elsevier, vol. 62(C), pages 251-272.
    15. Ying Wang & Richard T. Woodward & Jing-Yue Liu, 2022. "The Impact of Exogenous Pollution on Green Innovation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(1), pages 1-24, January.
    16. Jin-young Choi & Myoung-jae Lee, 2017. "Regression discontinuity: review with extensions," Statistical Papers, Springer, vol. 58(4), pages 1217-1246, December.
    17. Christian Ochsner, 2023. "Hostility, Population Sorting, and Backwardness: Quasi-Experimental Evidence from the Red Army after WWII," CERGE-EI Working Papers wp768, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    18. Hanson, Andrew & Rohlin, Shawn, 2017. "Do Spatially Targeted Redevelopment Incentives Work? The Answer Depends on How You Ask the Question," Working Papers 06910, George Mason University, Mercatus Center.
    19. Fang, Hongsheng & Su, Yunqing & Lu, Weijun, 2022. "Tax incentive and corporate financial performance: Evidence from income tax revenue sharing reform in China," Journal of Asian Economics, Elsevier, vol. 81(C).
    20. Di Giacomo, Marina & Piacenza, Massimiliano & Siciliani, Luigi & Turati, Gilberto, 2022. "The effect of co-payments on the take-up of prenatal tests," Journal of Health Economics, Elsevier, vol. 81(C).

    More about this item

    Keywords

    Pest control; Fruit-flies;

    JEL classification:

    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

    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:idb:brikps:7505. 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: Felipe Herrera Library (email available below). General contact details of provider: https://edirc.repec.org/data/iadbbus.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.