IDEAS home Printed from https://ideas.repec.org/a/ags/afjare/333980.html
   My bibliography  Save this article

Effect of targeted fertiliser subsidy on poverty reduction in Togo

Author

Listed:
  • Ganiyou, Ismaïla
  • Yovo, Koffi

Abstract

The reintroduction of innovative forms of input subsidies in sub-Saharan Africa (SSA) following the food crisis of 2008 raises concerns about their effectiveness in the fight against poverty. In this context, this paper examines the effect of the targeted fertiliser subsidy implemented in Togo from 2017 to 2019. For this purpose, the propensity score matching and instrumental variables regression approaches were used to control for potential selection and endogeneity bias. Nationwide cross-sectional survey data covering 2 319 smallholder farmers in Togo suggests that participation in the targeted fertiliser subsidy programme significantly improved beneficiaries’ poverty status through increased income, leading to a decline in poverty incidence, gap and severity. However, the magnitude of the effect is very small compared to that in some other West African countries. Therefore, to enhance the effect of targeted subsidy policy on income and poverty status, there is a need to improve the rate and composition of the subsidy.

Suggested Citation

  • Ganiyou, Ismaïla & Yovo, Koffi, 2022. "Effect of targeted fertiliser subsidy on poverty reduction in Togo," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 17(3), September.
  • Handle: RePEc:ags:afjare:333980
    DOI: 10.22004/ag.econ.333980
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/333980/files/1.-Ganiyou-Yovo.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.333980?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. 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.
    2. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    3. Awotide, Bola Amoke & Awoyemi, Taiwo Timothy & Salman, Kabir Kayode & Diagne, Aliou, 2013. "Impact of Seed Voucher System on Income Inequality and Rice Income per Hectare among Rural Households in Nigeria: A Randomized Control Trial (RCT) Approach," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 52(2), pages 1-23, May.
    4. Hodjo, Manzamasso & Dalton, Timothy & Nakelse, Tebila & Acharya, Ram N & Blayney, Don, 2021. "From coupon to calories: Assessing input coupon impact on household food calories production," World Development Perspectives, Elsevier, vol. 22(C).
    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. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    2. Sant’Anna, Pedro H.C. & Zhao, Jun, 2020. "Doubly robust difference-in-differences estimators," Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
    3. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
    4. W K Newey & S Stouli, 2022. "Heterogeneous coefficients, control variables and identification of multiple treatment effects [Multivalued treatments and decomposition analysis: An application to the WIA program]," Biometrika, Biometrika Trust, vol. 109(3), pages 865-872.
    5. Aydemir, Abdurrahman B. & Kırdar, Murat G., 2017. "Quasi-experimental impact estimates of immigrant labor supply shocks: The role of treatment and comparison group matching and relative skill composition," European Economic Review, Elsevier, vol. 98(C), pages 282-315.
    6. Fabling, Richard & Sanderson, Lynda, 2013. "Exporting and firm performance: Market entry, investment and expansion," Journal of International Economics, Elsevier, vol. 89(2), pages 422-431.
    7. Solomon Asfaw & Silvio Daidone & Benjamin Davis & Josh Dewbre & Alessandro Romeo & Paul Winters & Katia Covarrubias & Habiba Djebbari, 2012. "Analytical Framework for Evaluating the Productive Impact of Cash Transfer Programmes on Household Behaviour – Methodological Guidelines for the From Protection to Production Project," Working Papers 101, International Policy Centre for Inclusive Growth.
    8. Myriã Tatiany Neves Bast & Sergio Naruhiko Sakurai, 2016. "Uma Avaliação Empírica Dos Efeitos Dos Empréstimos Do Bndes Aos Governos Municipais Brasileiros," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 064, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    9. Bernhard Boockmann & Tobias Brändle, 2019. "Coaching, Counseling, Case‐Working: Do They Help the Older Unemployed Out of Benefit Receipt and Back Into the Labor Market?," German Economic Review, Verein für Socialpolitik, vol. 20(4), pages 436-468, November.
    10. Sloczynski, Tymon, 2018. "A General Weighted Average Representation of the Ordinary and Two-Stage Least Squares Estimands," IZA Discussion Papers 11866, Institute of Labor Economics (IZA).
    11. Dirk Czarnitzki & Cindy Lopes-Bento, 2014. "Innovation Subsidies: Does the Funding Source Matter for Innovation Intensity and Performance? Empirical Evidence from Germany," Industry and Innovation, Taylor & Francis Journals, vol. 21(5), pages 380-409, July.
    12. Asdrubali, Pierfederico & Signore, Simone, 2015. "The Economic Impact of EU Guarantees on Credit to SMEs – Evidence from CESEE Countries," EIF Working Paper Series 2015/29, European Investment Fund (EIF).
    13. Backson Mwangi & Ibrahim Macharia & Eric Bett, 2021. "Ex-post Impact Evaluation of Improved Sorghum Varieties on Poverty Reduction in Kenya: A Counterfactual Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(2), pages 447-467, April.
    14. Hassine, Haithem Ben & Mathieu, Claude, 2020. "R&D crowding out or R&D leverage effects: An evaluation of the french cluster-oriented technology policy," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    15. Carlos A. Flores & Oscar A. Mitnik, 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," Working Papers 2010-10, University of Miami, Department of Economics.
    16. Davis, K. & Nkonya, E. & Kato, E. & Mekonnen, D.A. & Odendo, M. & Miiro, R. & Nkuba, J., 2012. "Impact of Farmer Field Schools on Agricultural Productivity and Poverty in East Africa," World Development, Elsevier, vol. 40(2), pages 402-413.
    17. Firpo, Sergio Pinheiro & Pinto, Rafael de Carvalho Cayres, 2012. "Combining Strategies for the Estimation of Treatment Effects," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 32(1), March.
    18. Simon Ress & Florian Spohr, 2022. "Was it worth it? The impact of the German minimum wage on union membership of employees," Economic and Industrial Democracy, Department of Economic History, Uppsala University, Sweden, vol. 43(4), pages 1699-1723, November.
    19. Caliendo, Marco & Mahlstedt, Robert & Mitnik, Oscar A., 2017. "Unobservable, but unimportant? The relevance of usually unobserved variables for the evaluation of labor market policies," Labour Economics, Elsevier, vol. 46(C), pages 14-25.
    20. Dehejia Rajeev, 2015. "Experimental and Non-Experimental Methods in Development Economics: A Porous Dialectic," Journal of Globalization and Development, De Gruyter, vol. 6(1), pages 47-69, June.

    More about this item

    Keywords

    Food Security and Poverty;

    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:ags:afjare:333980. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaaeaea.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.