IDEAS home Printed from https://ideas.repec.org/p/ags/aaae16/246316.html
   My bibliography  Save this paper

Impact assessment of push-pull technology on incomes, productivity and poverty among smallholder households in Eastern Uganda

Author

Listed:
  • Chepchirchir, R.
  • Macharia, I.
  • Murage, A.W.
  • Midega, C.A.O.
  • Khan, Z.R.

Abstract

The paper evaluates the impact of adoption of push-pull technology (PPT) on household welfare in terms of productivity, incomes and poverty status measured through per capita food consumption in eastern Uganda. Cross sectional survey data was collected from 560 households in four districts in the region: Busia, Tororo, Bugiri and Pallisa, in November and December 2014. Tobit model was used to determine the intensity of adoption of the technology whereas generalized propensity scores (GPS) was applied to estimate the dose-response function (DRF) relating intensity of adoption and household welfare. Results revealed that with increased intensity of PPT adoption, probability of being poor declines through increased yield, incomes, and per capita food consumption. With an increase in the area allocated to PPT from 0.025 to 1 acre, average maize yield increases from 27 kgs to 1,400 kgs, average household income increases from 135 USD (UGX 370,000) to 273 USD (UGX 750,000) and per capita food consumption increases from 15 USD (UGX 40,000) to 27 USD (UGX 75,000). The average probability of being poor declines from 48% to 28%: This implies that increased investment on PPT dissemination and expansion is essential for poverty reduction among smallholder farmers.

Suggested Citation

  • Chepchirchir, R. & Macharia, I. & Murage, A.W. & Midega, C.A.O. & Khan, Z.R., 2016. "Impact assessment of push-pull technology on incomes, productivity and poverty among smallholder households in Eastern Uganda," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246316, African Association of Agricultural Economists (AAAE).
    • Handle: RePEc:ags:aaae16:246316
    DOI: 10.22004/ag.econ.246316
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/246316/files/79.%20Impact%20of%20PPT%20in%20Uganda.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.246316?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. Adeleke Oluwole Salami & Abdul Kamara & Zuzana Brixiova, 2010. "Working Paper 105 - Smallholder Agriculture in East Africa: Trends, Constraints and Opportunities," Working Paper Series 242, African Development Bank.
    2. Jochen Kluve & Hilmar Schneider & Arne Uhlendorff & Zhong Zhao, 2012. "Evaluating continuous training programmes by using the generalized propensity score," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 587-617, April.
    3. Mulubrhan Amare & Solomon Asfaw & Bekele Shiferaw, 2012. "Welfare impacts of maize–pigeonpea intensification in Tanzania," Agricultural Economics, International Association of Agricultural Economists, vol. 43(1), pages 27-43, January.
    4. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    5. Magingxa, Litha Light & Kamara, Abdul B., 2003. "Institutional Perspectives Of Enhancing Smallholder Market Access In South Africa," 2003 Annual Conference, October 2-3, 2003, Pretoria, South Africa 19077, Agricultural Economics Association of South Africa (AEASA).
    6. Kassie, Menale & Shiferaw, Bekele & Muricho, Geoffrey, 2011. "Agricultural Technology, Crop Income, and Poverty Alleviation in Uganda," World Development, Elsevier, vol. 39(10), pages 1784-1795.
    7. Barbara Guardabascio & Marco Ventura, 2013. "Estimating the dose-response function through the GLM approach," German Stata Users' Group Meetings 2013 10, Stata Users Group.
    8. Ssewanyana, Sarah N. & Kasirye, Ibrahim, 2010. "Food security in Uganda: a dilemma to achieving the millennium development goal," Research Series 113614, Economic Policy Research Centre (EPRC).
    9. Donald B. Rubin, 2005. "Causal Inference Using Potential Outcomes: Design, Modeling, Decisions," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 322-331, March.
    10. James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects, and Econometric Policy Evaluation," Econometrica, Econometric Society, vol. 73(3), pages 669-738, May.
    11. Noémi Kreif & Richard Grieve & Iván Díaz & David Harrison, 2015. "Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1213-1228, September.
    12. Michael Burton & Dan Rigby & Trevor Young, 2003. "Modelling the adoption of organic horticultural technology in the UK using Duration Analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 47(1), pages 29-54, March.
    13. Ferto, Imre & Forgacs, Csaba, 2009. "The Choice Between Conventional And Organic Farming. A Hungarian Example," APSTRACT: Applied Studies in Agribusiness and Commerce, AGRIMBA, vol. 5(5-6), pages 1-4.
    14. Kluve, Jochen & Schneider, Hilmar & Uhlendorff, Arne & Zhao, Zhong, 2007. "Evaluating Continuous Training Programs Using the Generalized Propensity Score," Ruhr Economic Papers 35, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    15. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    16. Timothy G. Conley & Christopher R. Taber, 2011. "Inference with "Difference in Differences" with a Small Number of Policy Changes," The Review of Economics and Statistics, MIT Press, vol. 93(1), pages 113-125, February.
    17. Michela Bia & Alessandra Mattei, 2008. "A Stata package for the estimation of the dose–response function through adjustment for the generalized propensity score," Stata Journal, StataCorp LP, vol. 8(3), pages 354-373, September.
    18. Jochen Kluve & Hilmar Schneider & Arne Uhlendorff & Zhong Zhao, 2012. "Evaluating continuous training programmes by using the generalized propensity score," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 587-617, April.
    19. Liu, Jing & Florax, Raymond, 2014. "The Effectiveness of International Aid: A Generalized Propensity Score Analysis," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169804, Agricultural and Applied Economics Association.
    20. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, 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. GWADA, Robert Ouko & BETT, Hillary Kiplangat & SIBIKO, Kenneth Waluse, 2021. "Effect Of Integrated Pest Management Technology On The Livelihoods Of Small-Scale Maize Producers," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 24(01), March.

    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. Ruth T. Chepchirchir & Ibrahim Macharia & Alice W. Murage & Charles A. O. Midega & Zeyaur R. Khan, 2017. "Impact assessment of push-pull pest management on incomes, productivity and poverty among smallholder households in Eastern Uganda," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(6), pages 1359-1372, December.
    2. Noémi Kreif & Richard Grieve & Iván Díaz & David Harrison, 2015. "Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1213-1228, September.
    3. Tübbicke Stefan, 2022. "Entropy Balancing for Continuous Treatments," Journal of Econometric Methods, De Gruyter, vol. 11(1), pages 71-89, January.
    4. Flores-Lagunes, Alfonso & Gonzalez, Arturo & Neumann, Todd C., 2007. "Estimating the Effects of Length of Exposure to a Training Program: The Case of Job Corps," IZA Discussion Papers 2846, Institute of Labor Economics (IZA).
    5. Emiliano Magrini & Pierluigi Montalbano & Silvia Nenci & Luca Salvatici, 2017. "Agricultural (Dis)Incentives and Food Security: Is There a Link?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(4), pages 847-871.
    6. Kreif, N. & Grieve, R. & Díaz, I. & Harrison, D., 2014. "Health econometric evaluation of the effects of a continuous treatment: a machine learning approach," Health, Econometrics and Data Group (HEDG) Working Papers 14/19, HEDG, c/o Department of Economics, University of York.
    7. Oliver Cassagneau-Francis & Robert Gary-Bobo & Julie Pernaudet & Jean-Marc Robin, 2022. "A Nonparametric Finite Mixture Approach to Difference-in-Difference Estimation, with an Application to On-the-job Training and Wages," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03869547, HAL.
    8. Zachary K. Collier & Walter L. Leite & Allison Karpyn, 2021. "Neural Networks to Estimate Generalized Propensity Scores for Continuous Treatment Doses," Evaluation Review, , vol. 45(1-2), pages 3-33, February.
    9. Michela Bia & Alessandra Mattei, 2012. "Assessing the effect of the amount of financial aids to Piedmont firms using the generalized propensity score," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(4), pages 485-516, November.
    10. Wooyoung Kim & Koohyun Kwon & Soonwoo Kwon & Sokbae Lee, 2018. "The identification power of smoothness assumptions in models with counterfactual outcomes," Quantitative Economics, Econometric Society, vol. 9(2), pages 617-642, July.
    11. Martin Huber, 2019. "An introduction to flexible methods for policy evaluation," Papers 1910.00641, arXiv.org.
    12. Birthal, Pratap S. & Roy, Devesh & Negi, Digvijay S., 2015. "Assessing the Impact of Crop Diversification on Farm Poverty in India," World Development, Elsevier, vol. 72(C), pages 70-92.
    13. Hilal Atasoy & Rajiv D. Banker & Paul A. Pavlou, 2016. "On the Longitudinal Effects of IT Use on Firm-Level Employment," Information Systems Research, INFORMS, vol. 27(1), pages 6-26, March.
    14. Miroslav Štefánik & Katarína Karasová & Ivana Studená, 2020. "Can supporting workplace insertions of unemployed recent graduates improve their long-term employability?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(2), pages 245-265, May.
    15. Martina Lubyová & Miroslav Štefánik & Pavol Baboš & Daniel Gerbery & Veronika Hvozdíková & Katarína Karasová & Ivan Lichner & Tomáš Miklošovic & Marek Radvanský & Eva Rublíková & Ivana Studená, . "Labour Market in Slovakia 2017+," Books, Institute of Economic Research, Slovak Academy of Sciences, edition 1, number 003.
    16. FLORES-LAGUNES Alfonso & CHOE Chung & LEE Sang-Jun, 2011. "Do Dropouts Benefit from Training Programs? Korean Evidence Employing Methods for Continuous Treatments," LISER Working Paper Series 2011-34, Luxembourg Institute of Socio-Economic Research (LISER).
    17. 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.
    18. Swen Kuh & Grace S. Chiu & Anton H. Westveld, 2020. "Latent Causal Socioeconomic Health Index," Papers 2009.12217, arXiv.org, revised Oct 2023.
    19. Esposti, Roberto, 2014. "The Impact of the 2005 CAP First Pillar Reform as a Multivalued Treatment Effect: Alternative Estimation Approaches," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 183067, European Association of Agricultural Economists.
    20. Bartolini, Fabio & Brunori, Gianluca & Coli, Alessandra & Landi, Chiara & Pacini, Barbara, 2015. "Assessing the Causal Effect of Decoupled Payments on farm labour in Tuscany Using Propensity Score Methods," 2015 Conference, August 9-14, 2015, Milan, Italy 211200, International Association of Agricultural Economists.

    More about this item

    Keywords

    Consumer/Household Economics; Research and Development/Tech Change/Emerging Technologies;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:aaae16:246316. 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.