IDEAS home Printed from https://ideas.repec.org/a/taf/jdevst/v48y2012i9p1288-1305.html

Poverty Reduction Effects of Agricultural Technology Adoption: A Micro-evidence from Rural Tanzania

Author

Listed:
  • Solomon Asfaw
  • Menale Kassie
  • Franklin Simtowe
  • Leslie Lipper

Abstract

This article evaluates the impact of adoption of improved pigeonpea technologies on consumption expenditure and poverty status using cross-sectional data of 613 households from rural Tanzania. Using multiple econometric techniques, we found that adopting improved pigeonpea significantly increases consumption expenditure and reduces poverty. This confirms the potential role of technology adoption in improving household welfare as higher incomes translate into lower poverty. This study supports broader investment in agriculture research to address vital development challenges. Reaching the poor with better technologies however requires policy support for improving extension efforts, access to seeds and market outlets that stimulate adoption.

Suggested Citation

  • Solomon Asfaw & Menale Kassie & Franklin Simtowe & Leslie Lipper, 2012. "Poverty Reduction Effects of Agricultural Technology Adoption: A Micro-evidence from Rural Tanzania," Journal of Development Studies, Taylor & Francis Journals, vol. 48(9), pages 1288-1305, September.
  • Handle: RePEc:taf:jdevst:v:48:y:2012:i:9:p:1288-1305
    DOI: 10.1080/00220388.2012.671475
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00220388.2012.671475
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00220388.2012.671475?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. J.J. Heckman & E.E. Leamer (ed.), 2007. "Handbook of Econometrics," Handbook of Econometrics, Elsevier, edition 1, volume 6, number 6a.
    2. J.J. Heckman & E.E. Leamer (ed.), 2007. "Handbook of Econometrics," Handbook of Econometrics, Elsevier, edition 1, volume 6, number 6b.
    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. Ismaël Mourifié & Marc Henry & Romuald Méango, 2020. "Sharp Bounds and Testability of a Roy Model of STEM Major Choices," Journal of Political Economy, University of Chicago Press, vol. 128(8), pages 3220-3283.
    2. Ali Palali & Jan C. Van ours, 2017. "Love Conquers all but Nicotine: Spousal Peer Effects on the Decision to Quit Smoking," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1710-1727, December.
    3. Jaap H. Abbring & Tim Salimans, 2019. "The Likelihood of Mixed Hitting Times," Papers 1905.03463, arXiv.org, revised Apr 2021.
    4. Sokbae Lee & Bernard Salanié, 2018. "Identifying Effects of Multivalued Treatments," Econometrica, Econometric Society, vol. 86(6), pages 1939-1963, November.
    5. Palali, Ali & van Ours, Jan, 2015. "Love Conquers All but Nicotine : Spousal Peer Effects on the Decision to Quit Smoking," Discussion Paper 2015-048, Tilburg University, Center for Economic Research.
    6. Siddhartha Bandyopadhyay & Sanjukta Sarkar & Rudra Sensarma, 2021. "Does Access to Key Household Resources Help in Reducing Violence against Women?," Discussion Papers 21-09, Department of Economics, University of Birmingham.
    7. Giovanni Cespa & Xavier Vives, 2011. "Expectations, Liquidity, and Short-term Trading," CESifo Working Paper Series 3390, CESifo.
    8. Gregory De & Marina Toger & Sarit Weisburd, 2023. "Police Response Time and Injury Outcomes," The Economic Journal, Royal Economic Society, vol. 133(654), pages 2147-2177.
    9. Marmer, Vadim & Shneyerov, Artyom, 2012. "Quantile-based nonparametric inference for first-price auctions," Journal of Econometrics, Elsevier, vol. 167(2), pages 345-357.
    10. Wenchuan Liu & Yu Zhang & Qi Li, 2015. "A semiparametric varying coefficient model of monotone auction bidding processes," Empirical Economics, Springer, vol. 48(1), pages 313-335, February.
    11. Mogens Fosgerau & Abhishek Ranjan, 2017. "A note on identification in discrete choice models with partial observability," Theory and Decision, Springer, vol. 83(2), pages 283-292, August.
    12. Mohummed Shofi Ullah Mazumder, 2022. "The Effects of Microfinance Programs on Recipients’ Livelihoods in Rural Bangladesh," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(3), pages 1383-1418, June.
    13. H. Evans & A. Basu, 2011. "Exploring comparative effect heterogeneity with instrumental variables: prehospital intubation and mortality," Health, Econometrics and Data Group (HEDG) Working Papers 11/26, HEDG, c/o Department of Economics, University of York.
    14. Olivier Bargain & Andreas Peichl, 2013. "Steady-State Labor Supply Elasticities: An International Comparison," AMSE Working Papers 1322, Aix-Marseille School of Economics, France.
    15. Andrew M. Jones, 2007. "Identification of treatment effects in Health Economics," Health Economics, John Wiley & Sons, Ltd., vol. 16(11), pages 1127-1131.
    16. Peter Howard-Jones & Jens Hölscher & Dragana Radicic, 2017. "Firm Productivity In The Western Balkans: The Impact Of European Union Membership And Access To Finance," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 62(215), pages 7-52, October –.
    17. Girum Abebe & Marcel Fafchamps & Michael Koelle & Simon Quinn, 2019. "Learning Management Through Matching: A Field Experiment Using Mechanism Design," CSAE Working Paper Series 2019-11, Centre for the Study of African Economies, University of Oxford.
    18. Arkadiusz Szydlowski, 2015. "Endogenous Censoring in the Mixed Proportional Hazard Model with an Application to Optimal Unemployment Insurance," Discussion Papers in Economics 15/06, Division of Economics, School of Business, University of Leicester.
    19. Niranjala Hulugalla & Kyohei Yamada & Makoto Kakinaka, 2021. "Personal social capital and voluntary participation in the Village Development Programme in rural Sri Lanka," Journal of International Development, John Wiley & Sons, Ltd., vol. 33(5), pages 803-825, July.
    20. Francesco Agostinelli & Emilio Borghesan & Giuseppe Sorrenti, 2020. "Welfare, Workfare and Labor Supply: A Unified Evaluation," Working Papers 2020-083, Human Capital and Economic Opportunity Working Group.

    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:taf:jdevst:v:48:y:2012:i:9:p:1288-1305. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/FJDS20 .

    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.