IDEAS home Printed from https://ideas.repec.org/a/spr/ssefpa/v14y2022i3d10.1007_s12571-022-01255-2.html
   My bibliography  Save this article

Welfare impacts of improved groundnut varieties adoption and food security implications in the semi-arid areas of West Africa

Author

Listed:
  • Jourdain C. Lokossou

    (Laval University
    International Crops Research Institute for the Semi-Arid Tropics
    University of Abomey-Calavi)

  • Hippolyte D. Affognon

    (West and Central African Council for Agricultural Research for Development (CORAF))

  • Alphonse Singbo

    (Laval University)

  • Michel B. Vabi

    (International Crops Research Institute for the Semi-Arid Tropics)

  • Ayoni Ogunbayo

    (International Crops Research Institute for the Semi-Arid Tropics)

  • Paul Tanzubil

    (International Crops Research Institute for the Semi-Arid Tropics)

  • Alcade C. Segnon

    (International Crops Research Institute for the Semi-Arid Tropics
    International Crops Research Institute for the Semi-Arid Tropics
    University of Abomey-Calavi)

  • Geoffrey Muricho

    (International Crops Research Institute for the Semi-Arid Tropics)

  • Haile Desmae

    (International Crops Research Institute for the Semi-Arid Tropics)

  • Hakeem Ajeigbe

    (International Crops Research Institute for the Semi-Arid Tropics)

Abstract

This paper investigates the welfare impacts of improved groundnut adoption in Ghana, Mali, and Nigeria using three-year balanced panel data collected from 2,868 households. We apply the Cragg double hurdle model to understand the adoption process and a fixed-effects instrumental variable approach to estimate the impact on gross margins, household income, per capita income, food security, and poverty. The results show that a 10% increase in the area planted with improved groundnut varieties is associated with a 25.6%, 14.8%, 6.9%, and 23.6% increase in groundnut gross margins, household income, per capita income, and food consumption score, respectively. Likewise, this leads to a 3.6% poverty reduction. The highest average impact is found in Nigeria, followed by Ghana and Mali. Furthermore, disaggregating the impacts by adoption history reveals that households that continuously adopted the improved groundnut varieties benefited more than other categories of adopters. They enjoy a 6.6% poverty reduction compared to 1.9% for households that cultivated improved groundnut varieties for a single year. We conclude that improved groundnut varieties' adoption is a promising pathway for rural poverty alleviation and food security improvement. Hence, encouraging households to adopt improved groundnut varieties for consecutive years could help capitalize on income gains and contribute to raising households above the poverty threshold.

Suggested Citation

  • Jourdain C. Lokossou & Hippolyte D. Affognon & Alphonse Singbo & Michel B. Vabi & Ayoni Ogunbayo & Paul Tanzubil & Alcade C. Segnon & Geoffrey Muricho & Haile Desmae & Hakeem Ajeigbe, 2022. "Welfare impacts of improved groundnut varieties adoption and food security implications in the semi-arid areas of West Africa," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(3), pages 709-728, June.
  • Handle: RePEc:spr:ssefpa:v:14:y:2022:i:3:d:10.1007_s12571-022-01255-2
    DOI: 10.1007/s12571-022-01255-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12571-022-01255-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12571-022-01255-2?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Stefan Dercon & Douglas Gollin, 2014. "Agriculture in African Development: Theories and Strategies," Annual Review of Resource Economics, Annual Reviews, vol. 6(1), pages 471-492, October.
    2. Derek Byerlee & Alain de Janvry & Elisabeth Sadoulet, 2009. "Agriculture for Development: Toward a New Paradigm," Annual Review of Resource Economics, Annual Reviews, vol. 1(1), pages 15-31, September.
    3. Gashaw Tadesse Abate & Tanguy Bernard & Alan de Brauw & Nicholas Minot, 2018. "The impact of the use of new technologies on farmers’ wheat yield in Ethiopia: evidence from a randomized control trial," Agricultural Economics, International Association of Agricultural Economists, vol. 49(4), pages 409-421, July.
    4. Di Zeng & Jeffrey Alwang & George W. Norton & Bekele Shiferaw & Moti Jaleta & Chilot Yirga, 2015. "Ex post impacts of improved maize varieties on poverty in rural Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 46(4), pages 515-526, July.
    5. Nakano, Yuko & Tsusaka, Takuji W. & Aida, Takeshi & Pede, Valerien O., 2018. "Is farmer-to-farmer extension effective? The impact of training on technology adoption and rice farming productivity in Tanzania," World Development, Elsevier, vol. 105(C), pages 336-351.
    6. Stefan Dercon & Daniel O. Gilligan & John Hoddinott & Tassew Woldehanna, 2009. "The Impact of Agricultural Extension and Roads on Poverty and Consumption Growth in Fifteen Ethiopian Villages," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(4), pages 1007-1021.
    7. repec:pri:rpdevs:deaton_price_indexes_inequality_and_the_measurement_of_world_poverty_aer. is not listed on IDEAS
    8. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-298, January.
    9. Mekonnen, Daniel Ayalew & Gerber, Nicolas & Matz, Julia Anna, 2018. "Gendered Social Networks, Agricultural Innovations, and Farm Productivity in Ethiopia," World Development, Elsevier, vol. 105(C), pages 321-335.
    10. Jeffrey D. Michler & Joseph V. Balagtas, 2017. "The importance of the savings device in precautionary savings: Empirical evidence from rural Bangladesh," Agricultural Economics, International Association of Agricultural Economists, vol. 48(2), pages 129-141, March.
    11. Douglas Gollin & Casper Worm Hansen & Asger Mose Wingender, 2021. "Two Blades of Grass: The Impact of the Green Revolution," Journal of Political Economy, University of Chicago Press, vol. 129(8), pages 2344-2384.
    12. Badi H. Baltagi, 2021. "Econometric Analysis of Panel Data," Springer Texts in Business and Economics, Springer, edition 6, number 978-3-030-53953-5.
    13. de Janvry, Alain & Finan, Frederico & Sadoulet, Elisabeth & Vakis, Renos, 2006. "Can conditional cash transfer programs serve as safety nets in keeping children at school and from working when exposed to shocks?," Journal of Development Economics, Elsevier, vol. 79(2), pages 349-373, April.
    14. de Janvry, Alain & Fafchamps, M. & Sadoulet, Elisabeth, 1991. "Peasant Household Behavior with Missing Markets: Some Paradoxes Explain," CUDARE Working Papers 198579, University of California, Berkeley, Department of Agricultural and Resource Economics.
    15. Tesfamicheal Wossen & Tahirou Abdoulaye & Arega Alene & Pierre Nguimkeu & Shiferaw Feleke & Ismail Y Rabbi & Mekbib G Haile & Victor Manyong, 2019. "Estimating the Productivity Impacts of Technology Adoption in the Presence of Misclassification," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(1), pages 1-16.
    16. Tesfamicheal Wossen & Tahirou Abdoulaye & Arega Alene & Pierre Nguimkeu & Shiferaw Feleke & Ismail Y Rabbi & Mekbib G Haile & Victor M Manyong, 2019. "“Estimating the Productivity Impacts of Technology Adoption in the Presence of Misclassification”—Author Response to Comment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(1), pages 19-19.
    17. Bezu, Sosina & Kassie, Girma T. & Shiferaw, Bekele & Ricker-Gilbert, Jacob, 2014. "Impact of Improved Maize Adoption on Welfare of Farm Households in Malawi: A Panel Data Analysis," World Development, Elsevier, vol. 59(C), pages 120-131.
    18. Hailemariam Teklewold & Menale Kassie & Bekele Shiferaw, 2013. "Adoption of Multiple Sustainable Agricultural Practices in Rural Ethiopia," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(3), pages 597-623, September.
    19. Quilkey, John J. & Pradhan, Jadunath, 1993. "Modelling the Adoption of HYV Technology in Developing Economies: Theory and Empirics," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 61(02-2), pages 175-175, August.
    20. Anne M. Cafer & J. Sanford Rikoon, 2018. "Adoption of new technologies by smallholder farmers: the contributions of extension, research institutes, cooperatives, and access to cash for improving tef production in Ethiopia," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 35(3), pages 685-699, September.
    21. Ayala Wineman & Timothy Njagi & C. Leigh Anderson & Travis W. Reynolds & Didier Yélognissè Alia & Priscilla Wainaina & Eric Njue & Pierre Biscaye & Miltone W. Ayieko, 2020. "A Case of Mistaken Identity? Measuring Rates of Improved Seed Adoption in Tanzania Using DNA Fingerprinting," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 719-741, September.
    22. Marra, Michele & Pannell, David J. & Abadi Ghadim, Amir, 2003. "The economics of risk, uncertainty and learning in the adoption of new agricultural technologies: where are we on the learning curve?," Agricultural Systems, Elsevier, vol. 75(2-3), pages 215-234.
    23. Julius Manda & Arega D. Alene & Adane H. Tufa & Tahirou Abdoulaye & Alpha Y. Kamara & Olusoji Olufajo & Ousmane Boukar & Victor M. Manyong, 2020. "Adoption and Ex‐post Impacts of Improved Cowpea Varieties on Productivity and Net Returns in Nigeria," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(1), pages 165-183, February.
    24. Tavneet Suri, 2011. "Selection and Comparative Advantage in Technology Adoption," Econometrica, Econometric Society, vol. 79(1), pages 159-209, January.
    25. Angus Deaton, 2010. "Price Indexes, Inequality, and the Measurement of World Poverty," American Economic Review, American Economic Association, vol. 100(1), pages 5-34, March.
    26. Franklin Simtowe & Solomon Asfaw & Tsedeke Abate, 2016. "Determinants of agricultural technology adoption under partial population awareness: the case of pigeonpea in Malawi," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 4(1), pages 1-21, December.
    27. Akhter Ali & Awudu Abdulai, 2010. "The Adoption of Genetically Modified Cotton and Poverty Reduction in Pakistan," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(1), pages 175-192, February.
    28. Pramila Krishnan & Manasa Patnam, 2014. "Neighbors and Extension Agents in Ethiopia: Who Matters More for Technology Adoption?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(1), pages 308-327.
    29. Mathenge, Mary K. & Smale, Melinda & Olwande, John, 2014. "The impacts of hybrid maize seed on the welfare of farming households in Kenya," Food Policy, Elsevier, vol. 44(C), pages 262-271.
    30. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    31. Verkaart, Simone & Munyua, Bernard G. & Mausch, Kai & Michler, Jeffrey D., 2017. "Welfare impacts of improved chickpea adoption: A pathway for rural development in Ethiopia?," Food Policy, Elsevier, vol. 66(C), pages 50-61.
    32. Stefan Dercon & Douglas Gollin, 2014. "Agriculture in African Development: A Review of Theories and Strategies," CSAE Working Paper Series 2014-22, Centre for the Study of African Economies, University of Oxford.
    33. Christiaensen, Luc & Demery, Lionel & Kuhl, Jesper, 2011. "The (evolving) role of agriculture in poverty reduction--An empirical perspective," Journal of Development Economics, Elsevier, vol. 96(2), pages 239-254, November.
    34. Alwang, Jeffrey & Gotor, Elisabetta & Thiele, Graham & Hareau, Guy & Jaleta, Moti & Chamberlin, Jordan, 2019. "Pathways from research on improved staple crop germplasm to poverty reduction for smallholder farmers," Agricultural Systems, Elsevier, vol. 172(C), pages 16-27.
    35. de Janvry, Alain & Fafchamps, Marcel & Sadoulet, Elisabeth, 1991. "Peasant Household Behaviour with Missing Markets: Some Paradoxes Explained," Economic Journal, Royal Economic Society, vol. 101(409), pages 1400-1417, November.
    36. Badi H. Baltagi, 2021. "Limited Dependent Variables and Panel Data," Springer Texts in Business and Economics, in: Econometric Analysis of Panel Data, edition 6, chapter 0, pages 291-335, Springer.
    37. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
    38. 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.
    39. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    40. repec:pri:rpdevs:presidential%20address%2017january%202010%20all.pdf is not listed on IDEAS
    41. Proscovia Renzaho Ntakyo & Marrit Berg, 2019. "Effect of market production on rural household food consumption: evidence from Uganda," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(5), pages 1051-1070, October.
    42. Fred M. Dzanku, 2015. "Household Welfare Effects of Agricultural Productivity: A Multidimensional Perspective from Ghana," Journal of Development Studies, Taylor & Francis Journals, vol. 51(9), pages 1139-1154, September.
    43. Becerril, Javier & Abdulai, Awudu, 2010. "The Impact of Improved Maize Varieties on Poverty in Mexico: A Propensity Score-Matching Approach," World Development, Elsevier, vol. 38(7), pages 1024-1035, July.
    44. Manda, Julius & Alene, Arega D. & Tufa, Adane H. & Abdoulaye, Tahirou & Wossen, Tesfamicheal & Chikoye, David & Manyong, Victor, 2019. "The poverty impacts of improved cowpea varieties in Nigeria: A counterfactual analysis," World Development, Elsevier, vol. 122(C), pages 261-271.
    45. Smith, Richard J & Blundell, Richard W, 1986. "An Exogeneity Test for a Simultaneous Equation Tobit Model with an Application to Labor Supply," Econometrica, Econometric Society, vol. 54(3), pages 679-685, May.
    46. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    47. Collier, Paul & Dercon, Stefan, 2014. "African Agriculture in 50Years: Smallholders in a Rapidly Changing World?," World Development, Elsevier, vol. 63(C), pages 92-101.
    48. Alene, Arega D. & Coulibaly, Ousmane, 2009. "The impact of agricultural research on productivity and poverty in sub-Saharan Africa," Food Policy, Elsevier, vol. 34(2), pages 198-209, April.
    49. Magnan, Nicholas & Spielman, David J. & Lybbert, Travis J. & Gulati, Kajal, 2015. "Leveling with friends: Social networks and Indian farmers' demand for a technology with heterogeneous benefits," Journal of Development Economics, Elsevier, vol. 116(C), pages 223-251.
    50. Musa H. Ahmed & Hiwot M. Mesfin & Seltene Abady & Wendmagegn Mesfin & Amare Kebede, 2016. "Adoption of improved groundnut seed and its impact on rural households’ welfare in Eastern Ethiopia," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1268747-126, December.
    51. Jeffrey D Michler & Emilia Tjernström & Simone Verkaart & Kai Mausch, 2019. "Money Matters: The Role of Yields and Profits in Agricultural Technology Adoption," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(3), pages 710-731.
    52. Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-844, September.
    53. Asfaw, Solomon & Shiferaw, Bekele & Simtowe, Franklin & Lipper, Leslie, 2012. "Impact of modern agricultural technologies on smallholder welfare: Evidence from Tanzania and Ethiopia," Food Policy, Elsevier, vol. 37(3), pages 283-295.
    54. Reinhard Schunck, 2013. "Within and between estimates in random-effects models: Advantages and drawbacks of correlated random effects and hybrid models," Stata Journal, StataCorp LP, vol. 13(1), pages 65-76, March.
    55. Khonje, Makaiko & Manda, Julius & Alene, Arega D. & Kassie, Menale, 2015. "Analysis of Adoption and Impacts of Improved Maize Varieties in Eastern Zambia," World Development, Elsevier, vol. 66(C), pages 695-706.
    56. T.S. Jayne & Shahidur Rashid, 2013. "Input subsidy programs in sub-Saharan Africa: a synthesis of recent evidence," Agricultural Economics, International Association of Agricultural Economists, vol. 44(6), pages 547-562, November.
    57. Julius Manda & Makaiko G. Khonje & Arega D. Alene & Therese Gondwe, 2017. "Welfare impacts of improved groundnut varieties in eastern Zambia: A heterogeneous treatment effects approach," Agrekon, Taylor & Francis Journals, vol. 56(4), pages 313-329, October.
    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. Martin Paul Jr Tabe-Ojong & Jourdain C. Lokossou & Bisrat Gebrekidan & Hippolyte D. Affognon, 2023. "Adoption of climate-resilient groundnut varieties increases agricultural production, consumption, and smallholder commercialization in West Africa," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    2. Siéwé, François & Egwuma, Henry & Ahmed, Ben & Sanni, Adunni & Abu, Sunday T. & Ojeleye, Oluwaseun A. & Nwahia, Cordelia O. & Choumbou, Raoul Fani Djomo & Abdulahi, Abubakar A., 2024. "A Best-Bet System of Rice Intensification and Poverty Alleviation in Zamfara State, Nigeria: A Mixed Method Analysis," Agricultural Systems, Elsevier, vol. 213(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. Abebayehu Girma Geffersa & Frank W. Agbola & Amir Mahmood, 2022. "Improved maize adoption and impacts on farm household welfare: Evidence from rural Ethiopia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(4), pages 860-886, October.
    2. Kazushi Takahashi & Rie Muraoka & Keijiro Otsuka, 2020. "Technology adoption, impact, and extension in developing countries’ agriculture: A review of the recent literature," Agricultural Economics, International Association of Agricultural Economists, vol. 51(1), pages 31-45, January.
    3. Verkaart, Simone & Munyua, Bernard G. & Mausch, Kai & Michler, Jeffrey D., 2017. "Welfare impacts of improved chickpea adoption: A pathway for rural development in Ethiopia?," Food Policy, Elsevier, vol. 66(C), pages 50-61.
    4. Garbero, A. & Marion, P., 2018. "IFAD RESEARCH SERIES 28 - Understanding the dynamics of adoption decisions and their poverty impacts: the case of improved maize seeds in Uganda," IFAD Research Series 280077, International Fund for Agricultural Development (IFAD).
    5. Felister Y. Tibamanya & Mursali A. Milanzi & Arne Henningsen, 2021. "Drivers of and Barriers to Adoption of Improved Sun- flower Varieties amongst Smallholder Farmers in Singida, Tanzania: the Double-Hurdle Approach," IFRO Working Paper 2021/03, University of Copenhagen, Department of Food and Resource Economics.
    6. Manda, Julius & Alene, Arega D. & Tufa, Adane H. & Abdoulaye, Tahirou & Wossen, Tesfamicheal & Chikoye, David & Manyong, Victor, 2019. "The poverty impacts of improved cowpea varieties in Nigeria: A counterfactual analysis," World Development, Elsevier, vol. 122(C), pages 261-271.
    7. Wubneshe Dessalegn Biru & Manfred Zeller & Tim K. Loos, 2020. "The Impact of Agricultural Technologies on Poverty and Vulnerability of Smallholders in Ethiopia: A Panel Data Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(2), pages 517-544, January.
    8. Wossen, Tesfamicheal & Alene, Arega & Abdoulaye, Tahirou & Feleke, Shiferaw & Manyong, Victor, 2019. "Agricultural technology adoption and household welfare: Measurement and evidence," Food Policy, Elsevier, vol. 87(C), pages 1-1.
    9. Tesfaye, Wondimagegn & Tirivayi, Nyasha, 2020. "Crop diversity, household welfare and consumption smoothing under risk: Evidence from rural Uganda," World Development, Elsevier, vol. 125(C).
    10. Musa Hasen Ahmed & Kassahun Mamo Geleta & Aemro Tazeze & Hiwot Mekonnen Mesfin & Eden Andualem Tilahun, 2017. "Cropping systems diversification, improved seed, manure and inorganic fertilizer adoption by maize producers of eastern Ethiopia," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 6(1), pages 1-16, December.
    11. Alwang, Jeffrey & Gotor, Elisabetta & Thiele, Graham & Hareau, Guy & Jaleta, Moti & Chamberlin, Jordan, 2019. "Pathways from research on improved staple crop germplasm to poverty reduction for smallholder farmers," Agricultural Systems, Elsevier, vol. 172(C), pages 16-27.
    12. Ayala Wineman & Timothy Njagi & C. Leigh Anderson & Travis W. Reynolds & Didier Yélognissè Alia & Priscilla Wainaina & Eric Njue & Pierre Biscaye & Miltone W. Ayieko, 2020. "A Case of Mistaken Identity? Measuring Rates of Improved Seed Adoption in Tanzania Using DNA Fingerprinting," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 719-741, September.
    13. Sinyolo, Sikhulumile, 2020. "Technology adoption and household food security among rural households in South Africa: The role of improved maize varieties," Technology in Society, Elsevier, vol. 60(C).
    14. Josephson, Anna & Ricker-Gilbert, Jacob, 2020. "Preferences and crop choice during Zimbabwe’s macroeconomic crisis," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 15(3), September.
    15. Nsabimana, Aimable & Adom, Philip Kofi, 2024. "Heterogeneous effects from integrated farm innovations on welfare in Rwanda," World Development Perspectives, Elsevier, vol. 33(C).
    16. Ainembabazi, John Herbert & Abdoulaye, Tahirou & Feleke, Shiferaw & Alene, Arega & Dontsop-Nguezet, Paul M. & Ndayisaba, Pierre Celestin & Hicintuka, Cyrille & Mapatano, Sylvain & Manyong, Victor, 2018. "Who benefits from which agricultural research-for-development technologies? Evidence from farm household poverty analysis in Central Africa," World Development, Elsevier, vol. 108(C), pages 28-46.
    17. Martey, Edward & Etwire, Prince Maxwell & Abdoulaye, Tahirou, 2020. "Welfare impacts of climate-smart agriculture in Ghana: Does row planting and drought-tolerant maize varieties matter?," Land Use Policy, Elsevier, vol. 95(C).
    18. Larson,Donald F. & Muraoka,Rie & Otsuka,Keijiro, 2016. "On the central role of small farms in African rural development strategies," Policy Research Working Paper Series 7710, The World Bank.
    19. Tesfay, M., 2018. "Adoption of diversified farm technology in a semi arid of northern Ethiopia: A Panel Data Analysis," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276008, International Association of Agricultural Economists.
    20. Tufa, Adane Hirpa & Alene, Arega D. & Manda, Julius & Akinwale, M.G. & Chikoye, David & Feleke, Shiferaw & Wossen, Tesfamicheal & Manyong, Victor, 2019. "The productivity and income effects of adoption of improved soybean varieties and agronomic practices in Malawi," World Development, Elsevier, vol. 124(C), pages 1-1.

    More about this item

    Keywords

    Poverty; Food consumption score; Panel data; Technology adoption; Ghana; Mali; Nigeria;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • 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:spr:ssefpa:v:14:y:2022:i:3:d:10.1007_s12571-022-01255-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.