IDEAS home Printed from https://ideas.repec.org/p/ags/aaae23/365886.html

Impact of climate smart agricultural technology adoption on livelihood of producers: a case study of smart-valley approach in lowland rice farming systems

Author

Listed:
  • Arouna, Aminou
  • Aboudou, Rachidi
  • Yergo, Wilfried G.

Abstract

Rice production in Sub-Saharan Africa faces many constraints, including water and soil management. Smart-valley approach (SVA) was introduced in many African countries since 2010 to increase water and soil management in lowland rice production. This study aimed to assess the drivers and impact of adoption of SVA for adaptation to climate change in Sierra Leone and Liberia. A total of 641 rice households were randomly sampled and interviewed in the two countries. We employed the marginal treatment effect framework which allows us to estimate the treatment effect heterogeneities, and to simulate the effects of policy changes on outcomes such as yield, production, income, and food security. We found evidence that the adoption of SVA increased the rice yield by 1.7 t/ha (60% increase), leading to an increase in income of US$ 560 per ha. Adoption also improved household food security by 7.21%. Results showed also that knowledge and information indicators such as knowledge of SVA, contact with extension agents and being member of farmers’ association drive the adoption of SVA. Large-scale dissemination of smart-valley approach will help smallholder rice farmers to increase their resilience to climate change and improve their welfare.

Suggested Citation

  • Arouna, Aminou & Aboudou, Rachidi & Yergo, Wilfried G., 2023. "Impact of climate smart agricultural technology adoption on livelihood of producers: a case study of smart-valley approach in lowland rice farming systems," 2023 Seventh AAAE/60th AEASA Conference, September 18-21, 2023, Durban, South Africa 365886, African Association of Agricultural Economists (AAAE).
    • Handle: RePEc:ags:aaae23:365886
    DOI: 10.22004/ag.econ.365886
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/365886/files/322.%20Rice%20in%20Sierra%20Leone%20and%20Liberia.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.365886?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. James J. Heckman & Sergio Urzua & Edward Vytlacil, 2006. "Understanding Instrumental Variables in Models with Essential Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 389-432, August.
    2. Pedro Carneiro & James J. Heckman & Edward Vytlacil, 2010. "Evaluating Marginal Policy Changes and the Average Effect of Treatment for Individuals at the Margin," Econometrica, Econometric Society, vol. 78(1), pages 377-394, January.
    3. James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects, and Econometric Policy Evaluation," Econometrica, Econometric Society, vol. 73(3), pages 669-738, May.
    4. James J. Heckman & Vytlacil, Edward J., 2007. "Econometric Evaluation of Social Programs, Part I: Causal Models, Structural Models and Econometric Policy Evaluation," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 70, Elsevier.
    5. Moti Jaleta & Menale Kassie & Paswel Marenya & Chilot Yirga & Olaf Erenstein, 2018. "Impact of improved maize adoption on household food security of maize producing smallholder farmers in Ethiopia," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(1), pages 81-93, February.
    6. Muhammad Faisal Shahzad & Awudu Abdulai, 2021. "The heterogeneous effects of adoption of climate-smart agriculture on household welfare in Pakistan," Applied Economics, Taylor & Francis Journals, vol. 53(9), pages 1013-1038, February.
    7. Gazali Issahaku & Awudu Abdulai, 2020. "Adoption of climate‐smart practices and its impact on farm performance and risk exposure among smallholder farmers in Ghana," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(2), pages 396-420, April.
    8. Issahaku, Gazali & Abdulai, Awudu, . "Adoption of climate-smart practices and its impact on farm performance and risk exposure among smallholder farmers in Ghana," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(2).
    9. Salvatore Di Falco & Marcella Veronesi & Mahmud Yesuf, 2011. "Does Adaptation to Climate Change Provide Food Security? A Micro-Perspective from Ethiopia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(3), pages 825-842.
    10. Tesfamicheal Wossen & Thomas Berger & Salvatore Di Falco, 2015. "Social capital, risk preference and adoption of improved farm land management practices in Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 46(1), pages 81-97, January.
    11. Pedro Carneiro & James J. Heckman & Edward J. Vytlacil, 2011. "Estimating Marginal Returns to Education," American Economic Review, American Economic Association, vol. 101(6), pages 2754-2781, October.
    12. Bjorklund, Anders & Moffitt, Robert, 1987. "The Estimation of Wage Gains and Welfare Gains in Self-selection," The Review of Economics and Statistics, MIT Press, vol. 69(1), pages 42-49, February.
    13. Awudu Abdulai & Wallace Huffman, 2014. "The Adoption and Impact of Soil and Water Conservation Technology: An Endogenous Switching Regression Application," Land Economics, University of Wisconsin Press, vol. 90(1), pages 26-43.
    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. Bedi, Shaibu Mellon & Azzarri, Carlo & Kotu, Bekele Hundi & Kornher, Lukas, 2021. "Scaling-up Agricultural Innovations: Who Should be Targeted?," 2021 Conference, August 17-31, 2021, Virtual 315267, International Association of Agricultural Economists.
    2. Mogstad, Magne & Torgovitsky, Alexander, 2024. "Instrumental variables with unobserved heterogeneity in treatment effects," Handbook of Labor Economics,, Elsevier.
    3. Mogstad, Magne & Torgovitsky, Alexander & Walters, Christopher R., 2024. "Policy evaluation with multiple instrumental variables," Journal of Econometrics, Elsevier, vol. 243(1).
    4. Sokbae Lee & Bernard Salanié, 2018. "Identifying Effects of Multivalued Treatments," Econometrica, Econometric Society, vol. 86(6), pages 1939-1963, November.
    5. Moffitt, Robert A. & Zahn, Matthew V., 2022. "The Marginal Labor Supply Disincentives of Welfare: Evidence from Administrative Barriers to Participation," Economics Working Paper Archive 66674, The Johns Hopkins University,Department of Economics.
    6. Martinez-Iriarte, Julian & Sun, Yixiao, 2024. "Identification and estimation of unconditional policy effects of an endogenous binary treatment: An unconditional MTE approach," Journal of Econometrics, Elsevier, vol. 244(1).
    7. Heckman, James J. & Humphries, John Eric & Veramendi, Gregory, 2016. "Dynamic treatment effects," Journal of Econometrics, Elsevier, vol. 191(2), pages 276-292.
    8. Spanos, Yiannis E., 2021. "Exploring heterogeneous returns to collaborative R&D: A marginal treatment effects perspective," Research Policy, Elsevier, vol. 50(5).
    9. Sarr, Mare & Bezabih Ayele, Mintewab & Kimani, Mumbi E. & Ruhinduka, Remidius, 2021. "Who benefits from climate-friendly agriculture? The marginal returns to a rainfed system of rice intensification in Tanzania," World Development, Elsevier, vol. 138(C).
    10. Domenico Depalo, 2020. "Explaining the causal effect of adherence to medication on cholesterol through the marginal patient," Health Economics, John Wiley & Sons, Ltd., vol. 29(S1), pages 110-126, October.
    11. Shaibu Mellon Bedi & Carlo Azzarri & Bekele Hundie Kotu & Lukas Kornher & Joachim von Braun, 2022. "Scaling-up agricultural technologies: who should be targeted?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(4), pages 857-875.
    12. Heckman, James J. & Urzúa, Sergio, 2010. "Comparing IV with structural models: What simple IV can and cannot identify," Journal of Econometrics, Elsevier, vol. 156(1), pages 27-37, May.
    13. Li, Meng & Jin, Tianyu & Liu, Shenglong & Zhou, Shaojie, 2021. "The cost of clean energy transition in rural China: Evidence based on marginal treatment effects," Energy Economics, Elsevier, vol. 97(C).
    14. Pedro Carneiro & Michael Lokshin & Nithin Umapathi, 2017. "Average and Marginal Returns to Upper Secondary Schooling in Indonesia," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 16-36, January.
    15. Pereda-Fernández, Santiago, 2023. "Identification and estimation of triangular models with a binary treatment," Journal of Econometrics, Elsevier, vol. 234(2), pages 585-623.
    16. P. Lovaglio & S. Verzillo, 2016. "Heterogeneous economic returns to higher education: evidence from Italy," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(2), pages 791-822, March.
    17. Tafti, Elena Ashtari, 2023. "Technology, Skills, and Performance: The Case of Robots in Surgery," CINCH Working Paper Series (since 2020) 78746, Duisburg-Essen University Library, DuEPublico.
    18. Heckman, James J. & Schmierer, Daniel & Urzua, Sergio, 2010. "Testing the correlated random coefficient model," Journal of Econometrics, Elsevier, vol. 158(2), pages 177-203, October.
    19. Anirban Basu & James J. Heckman & Salvador Navarro-Lozano & Sergio Urzua, 2007. "Use of instrumental variables in the presence of heterogeneity and self-selection: an application to treatments of breast cancer patients," Health Economics, John Wiley & Sons, Ltd., vol. 16(11), pages 1133-1157.
    20. Bartalotti, Otávio & Kédagni, Désiré & Possebom, Vitor, 2023. "Identifying marginal treatment effects in the presence of sample selection," Journal of Econometrics, Elsevier, vol. 234(2), pages 565-584.

    More about this item

    Keywords

    ;

    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:aaae23:365886. 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.