IDEAS home Printed from https://ideas.repec.org/a/eee/ingrde/v2y2023i1s2949753123000048.html
   My bibliography  Save this article

Modelling farmers’ adoption decisions of sustainable agricultural practices under varying agro-ecological conditions: A new perspective

Author

Listed:
  • Mgomezulu, Wisdom Richard
  • Machira, Kennedy
  • Edriss, Abdi-Khalil
  • Pangapanga-Phiri, Innocent

Abstract

Different scholars have modelled the adoption of sustainable agricultural practices (SAPs) with a goal of improving farmer's adaptive capacity to climate change. Nonetheless, through the conventional way of defining adoption decisions as one-time survey decisions, many scholars have failed to understand inconsistencies in adoption decisions and dis-adoption of such practices. Through a survey of 2100 maize farming households, the current study employed multivariate probit models to understand and compare one-time survey season adoption decisions and sustained (consistent) adoption decisions. The study notes that dis-adoption rates of SAPs range from 20 to 27 percent. As such, the determinants of dis-adoption were estimated to build a case for going beyond one-time adoption survey decisions. Furthermore, the study employed a Cox Proportional hazard model to understand the relative risk to adoption of Sustainable Agricultural Practices over time. The findings reveal the need for a modelling paradigm shift in understanding adoption decisions for sustainable benefits. Past research has focused on understanding whether farmers adopted SAPs in a previous survey season period. Nonetheless, efforts to ensure sustainable productivity and food security remains lacking amidst climate change. The current study reveals evidence of a need for a modelling shift towards sustained adoption of SAPs for sustainable development of agriculture. Lastly, the findings reveal the need for intensifying knowledge and information dissemination on SAPs through field demonstrations, extension visits, trainings and radio programs in order to reduce dis-adoption and ensure sustained adoption.

Suggested Citation

  • Mgomezulu, Wisdom Richard & Machira, Kennedy & Edriss, Abdi-Khalil & Pangapanga-Phiri, Innocent, 2023. "Modelling farmers’ adoption decisions of sustainable agricultural practices under varying agro-ecological conditions: A new perspective," Innovation and Green Development, Elsevier, vol. 2(1).
    • Handle: RePEc:eee:ingrde:v:2:y:2023:i:1:s2949753123000048
    DOI: 10.1016/j.igd.2023.100036
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2949753123000048
    Download Restriction: Open-access
    File URL: https://libkey.io/10.1016/j.igd.2023.100036?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. Oyawole, F. P. & Dipeolu, A. O. & Shittu, A. M. & Obayelu, A. E. & Fabunmi, T. O., 2019. "What Drives the Adoption of Climate Smart Agricultural Practices? Evidence from Maize Farmers in Northern Nigeria," Nigerian Journal of Agricultural Economics, Nigerian Journal of Agricultural Economics, vol. 9(01), October.
    2. Mathieu Ouédraogo & Prosper Houessionon & Robert B. Zougmoré & Samuel Tetteh Partey, 2019. "Uptake of Climate-Smart Agricultural Technologies and Practices: Actual and Potential Adoption Rates in the Climate-Smart Village Site of Mali," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    3. Dessy, Sylvain & Marchetta, Francesca & Pongou, Roland & Tiberti, Luca, 2020. "Climate Shocks and Teenage Fertility," GLO Discussion Paper Series 490, Global Labor Organization (GLO).
    4. Rahman, Sanzidur & Daniel Chima, Chidiebere, 2015. "Determinants of modern technology adoption in multiple food crops in Nigeria: a multivariate probit approach," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 4(3), April.
    5. Nelson Mango & Clifton Makate & Lulseged Tamene & Powell Mponela & Gift Ndengu, 2018. "Adoption of Small-Scale Irrigation Farming as a Climate-Smart Agriculture Practice and Its Influence on Household Income in the Chinyanja Triangle, Southern Africa," Land, MDPI, vol. 7(2), pages 1-19, April.
    6. Musa, H. Ahmed & Lemma, Z. & Endrias, G., 2015. "Measuring Technical, Economic and Allocative Efficiency of Maize Production in Subsistence Farming: Evidence from the Central Rift Valley of Ethiopia," APSTRACT: Applied Studies in Agribusiness and Commerce, AGRIMBA, vol. 9(3), pages 1-12, December.
    7. Lancaster,Tony, 1992. "The Econometric Analysis of Transition Data," Cambridge Books, Cambridge University Press, number 9780521437899, January.
    8. Blanca Isabel Sánchez-Toledano & Zein Kallas & Oscar Palmeros Rojas & José M. Gil, 2018. "Determinant Factors of the Adoption of Improved Maize Seeds in Southern Mexico: A Survival Analysis Approach," Sustainability, MDPI, vol. 10(10), pages 1-22, October.
    9. Amadu, Festus O. & McNamara, Paul E. & Miller, Daniel C., 2020. "Understanding the adoption of climate-smart agriculture: A farm-level typology with empirical evidence from southern Malawi," World Development, Elsevier, vol. 126(C).
    10. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    11. Vaiknoras, Kate & Larochelle, Catherine & Birol, Ekin & Asare-Marfo, Dorene & Herrington, Caitlin, 2019. "Promoting rapid and sustained adoption of biofortified crops: What we learned from iron-biofortified bean delivery approaches in Rwanda," Food Policy, Elsevier, vol. 83(C), pages 271-284.
    12. Ogada, Maurice Juma & Rao, Elizaphan J.O. & Radeny, Maren & Recha, John W. & Solomon, Dawit, 2020. "Climate-smart agriculture, household income and asset accumulation among smallholder farmers in the Nyando basin of Kenya," World Development Perspectives, Elsevier, vol. 18(C).
    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. Han, Jixuan & Li, Tianshu & Philbin, Simon P., 2023. "Does low-carbon pilot policy in China improve corporate profitability? The role of innovation and subsidy," Innovation and Green Development, Elsevier, vol. 2(2).
    2. Mgomezulu, Wisdom Richard & Edriss, Abdi-Khalil & Machira, Kennedy & Pangapanga-Phiri, Innocent, 2023. "Towards sustainability in the adoption of sustainable agricultural practices: Implications on household poverty, food and nutrition security," Innovation and Green Development, Elsevier, vol. 2(3).
    3. Li, Shuangyan & Chang, Ge & Zunong, Reyihanguli, 2023. "Does regional digital economy development influence green investment?," Innovation and Green Development, Elsevier, vol. 2(3).
    4. Yanzi Li & Jiahui Xu & Fuqiang Liu & Xinshi Zhang, 2024. "Impact and Mechanism of Digital Information Selection on Farmers’ Ecological Production Technology Adoption: A Study on Wheat Farmers in China," Agriculture, MDPI, vol. 14(5), pages 1-20, April.

    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. Mgomezulu, Wisdom Richard & Machila, Kennedy & Edriss, Abdi-Khalil & Pangapanga-Phiri, Innocent, 2024. "Understanding Farmer Adoption Decisions of Sustainable Agricultural Practices under Varying Agro-ecological Conditions: A New Perspective," IAAE 2024 Conference, August 2-7, 2024, New Delhi, India 344289, International Association of Agricultural Economists (IAAE).
    2. Mgomezulu, Wisdom Richard & Edriss, Abdi-Khalil & Machira, Kennedy & Pangapanga-Phiri, Innocent, 2023. "Towards sustainability in the adoption of sustainable agricultural practices: Implications on household poverty, food and nutrition security," Innovation and Green Development, Elsevier, vol. 2(3).
    3. Gatto, Marcel & Mgomezulu, Wisdom R. & Okello, Julius J. & Pradel, Willy & Kwikiriza, Norman & Hareau, Guy G., 2023. "Direct and spillover effects of biofortified sweetpotato interventions on sustained adoption in Malawi," Food Policy, Elsevier, vol. 121(C).
    4. Mashi, Sani Abubakar & Inkani, Amina Ibrahim & Oghenejabor, Obaro Dominic, 2022. "Determinants of awareness levels of climate smart agricultural technologies and practices of urban farmers in Kuje, Abuja, Nigeria," Technology in Society, Elsevier, vol. 70(C).
    5. Mgomezulu, Wisdom Richard & Machira, Kennedy & Edriss, Abdi-Khalil & Pangapanga-Phiri, Innocent & Chitete, Moses M.N., 2022. "Responding to inefficiencies on smallholder maize farms: Can sustained adoption of sustainable agricultural practices make a difference?," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 17(4), December.
    6. Victor O. Abegunde & Ajuruchukwu Obi, 2022. "The Role and Perspective of Climate Smart Agriculture in Africa: A Scientific Review," Sustainability, MDPI, vol. 14(4), pages 1-15, February.
    7. Oscar Gutiérrez & Francisco Ruiz-Aliseda, 2011. "Real options with unknown-date events," Annals of Finance, Springer, vol. 7(2), pages 171-198, May.
    8. Shari, Babajide Epe & Dioha, Michael O. & Abraham-Dukuma, Magnus C. & Sobanke, Victor O. & Emodi, Nnaemeka V., 2022. "Clean cooking energy transition in Nigeria: Policy implications for Developing countries," Journal of Policy Modeling, Elsevier, vol. 44(2), pages 319-343.
    9. Cambier, Adrien & Chardy, Matthieu & Figueiredo, Rosa & Ouorou, Adam & Poss, Michael, 2022. "Optimizing subscriber migrations for a telecommunication operator in uncertain context," European Journal of Operational Research, Elsevier, vol. 298(1), pages 308-321.
    10. Tiruwork B. Tibebu & Eric Hittinger & Qing Miao & Eric Williams, 2024. "Adoption Model Choice Affects the Optimal Subsidy for Residential Solar," Energies, MDPI, vol. 17(3), pages 1-19, February.
    11. Simon P. Anderson & André de Palma, 2012. "Competition for attention in the Information (overload) Age," RAND Journal of Economics, RAND Corporation, vol. 43(1), pages 1-25, March.
    12. Van, Tien Linh Cao & Barthelmes, Lukas & Gnann, Till & Speth, Daniel & Kagerbauer, Martin, 2021. "Addressing the gaps in market diffusion modeling of electrical vehicles: A case study from Germany for the integration of environmental policy measures," Working Papers "Sustainability and Innovation" S05/2021, Fraunhofer Institute for Systems and Innovation Research (ISI).
    13. Klingler, Anna-Lena & Luthander, Rasmus, 2018. "Market diffusion of residential PV and battery systems driven by self-consumption: A comparison of Sweden and Germany," Working Papers "Sustainability and Innovation" S18/2018, Fraunhofer Institute for Systems and Innovation Research (ISI).
    14. Edgardo Arturo Ayala Gaytán, 2009. "Social network externalities and price dispersion in online markets," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 1-28, November.
    15. Elsa Morais Sarmento & Alcina Nunes, 2011. "Survival dynamics in Portugal, a regional perspective," ERSA conference papers ersa10p1313, European Regional Science Association.
    16. Régis Chenavaz & Corina Paraschiv & Gabriel Turinici, 2017. "Dynamic Pricing of New Products in Competitive Markets: A Mean-Field Game Approach," Working Papers hal-01592958, HAL.
    17. White, Reilly & Marinakis, Yorgos & Islam, Nazrul & Walsh, Steven, 2020. "Is Bitcoin a currency, a technology-based product, or something else?," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    18. Shigeno, Hidenori & Matsuzaki, Taisuke & Ueki, Yasushi & Tsuji, Masatsugu, 2023. "The Effect of the Covid-19 Pandemic on the Innovation Process of Small and Medium-sized Regional Firms," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done? 278018, International Telecommunications Society (ITS).
    19. Sohn, So Young & Lim, Michael, 2008. "The effect of forecasting and information sharing in SCM for multi-generation products," European Journal of Operational Research, Elsevier, vol. 186(1), pages 276-287, April.
    20. Day Yang Liu & Wen Chun Tsai & Pei Leen Liu & Chung Yi Fang, 2021. "Determinants of sales revenue in innovation diffusion effects of Taiwan sports lottery during the FIFA World Cup 2018," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 10(4), pages 43-58, June.

    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:eee:ingrde:v:2:y:2023:i:1:s2949753123000048. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/innovation-and-green-development .

    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.