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Assessing the influence of neighborhood effects on the adoption of improved agricultural technologies in developing agriculture

Author

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  • Langyintuo, Augustine S.
  • Mekuria, Mulugetta

Abstract

Researchers generally assume spatial homogeneity when assessing the factors that influence farmers to adopt improved agricultural technologies. However, the potential for spatial heterogeneity is high due to, for example, neighborhood effects such as farmers sharing information about new technology. Ignoring spatial heterogeneity can result in biased or inefficient regression estimates and make inferences based on t and F statistics misleading. Using data collected from 300 randomly selected farmers in three districts of Mozambique during the 2003/04 crop season, a spatial Tobit model was specified to estimate which factors determined the adoption of improved maize varieties, after an initial diagnostic test rejected the null hypothesis of spatial homogeneity. On the basis of the empirical evidence, the paper makes policy recommendations to increase Mozambican farmers’ adoption of improved maize varieties and concludes by emphasizing the need to test and correct for spatial heterogeneity in technology adoption modeling to improve the efficiency of the estimated results.

Suggested Citation

  • Langyintuo, Augustine S. & Mekuria, Mulugetta, 2008. "Assessing the influence of neighborhood effects on the adoption of improved agricultural technologies in developing agriculture," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 2(2), pages 1-19, August.
    • Handle: RePEc:ags:afjare:56960
    DOI: 10.22004/ag.econ.56960
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    Citations

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    Cited by:

    1. Ponguane, Sérgio & Mucavele, Nézia, 2018. "Determinants of Agricultural Technology Adoption in Chókwè District, Mozambique," MPRA Paper 86284, University Library of Munich, Germany, revised 13 Apr 2018.
    2. Niedermayr, Andreas & Kapfer, Martin & Kantelhardt, Jochen, 2016. "Using Econometric Models To Analyse The Spatial Distribution Of Oil Pumpkin Cultivation In Austria," 56th Annual Conference, Bonn, Germany, September 28-30, 2016 244886, German Association of Agricultural Economists (GEWISOLA).
    3. Mudde, Barnabus & M'mogi, Florence Olubayo & Miano, Douglas Watuku & Asea, Godfrey & Kilalo, Dora C. & Adriko, John & Kiggundu, Andrew, 2017. "Farmer knowledge, perceptions and management of maize lethal necrosis disease in selected agro-ecological zones of Uganda," African Journal of Rural Development (AFJRD), AFrican Journal of Rural Development (AFJRD), vol. 2(2), June.
    4. OBAYELU, Abiodun Elijah & MONCHO, Cocou Muriel Dorian & DIAI, Chukwunoso Christopher, 2016. "Technical Efficiency Of Production Of Quality Protein Maize Between Adopters And Non-Adopters, And The Determinants In Oyo State, Nigeria," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 19(2), pages 1-10, October.
    5. Pede, Valerien O. & McKinley, Justin & Singbo, Alphonse & Kajisa, Kei, 2015. "Spatial Dependency of Technical Efficiency in Rice Farming: The Case of Bohol, Philippines," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205456, Agricultural and Applied Economics Association.
    6. Tisorn Songsermsawas & Kathy Baylis & Ashwini Chhatre & Hope Michelson, 2014. "Can Peers Improve Agricultural Productivity?," CESifo Working Paper Series 4958, CESifo.
    7. Qu, Xi & Lee, Lung-fei, 2012. "LM tests for spatial correlation in spatial models with limited dependent variables," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 430-445.
    8. Chamberlin, Jordan, 2013. "Infrastructure, services, and smallholder income growth: evidence from Kenyan panel data," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 161269, African Association of Agricultural Economists (AAAE).
    9. Kate Sherren & H. M. Tuihedur Rahman & Brooke McWherter & Seonaid MacDonell, 2023. "Are fencelines sites of engagement or avoidance in farmer adoption of alternative practices?," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 40(3), pages 1359-1365, September.
    10. Cook, Aaron M. & Ricker-Gilbert, Jacob E. & Sesmero, Juan P., 2013. "How do African households adapt to climate change? Evidence from Malawi," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150507, Agricultural and Applied Economics Association.
    11. Tiziana Pagnani & Elisabetta Gotor & Enoch Kikulwe & Francesco Caracciolo, 2021. "Livelihood assets’ influence on Ugandan farmers’ control practices for Banana Xanthomonas Wilt (BXW)," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 9(1), pages 1-19, December.
    12. Phiri, Innocent Pangapanga, 2011. "Modelling farmers’ choice of adaptation strategies towards climatic and weather variability: Empirical evidence from Chikhwawa district, Southern Malawi," Research Theses 134489, Collaborative Masters Program in Agricultural and Applied Economics.
    13. Fadare, Olusegun Ayodeji & Akerele, Dare & Toritseju, Begho, 2014. "Factors Influencing Adoption Decisions Of Maize Farmers In Nigeria," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 2(3), pages 1-10, July.
    14. Acheampong, Patricia Pinamang & Acheampong, Lawrencia Donkor, 2020. "Analysis of Adoption of Improved Cassava (Manihot Esculenta) Varieties in Ghana: Implications for Agricultural Technology Disseminations," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 8(3), July.
    15. Bell, Andrew & Parkhurst, Gregory & Droppelmann, Klaus & Benton, Tim G., 2016. "Scaling up pro-environmental agricultural practice using agglomeration payments: Proof of concept from an agent-based model," Ecological Economics, Elsevier, vol. 126(C), pages 32-41.
    16. Pangapanga, Phiriinnocent & Thangalimodzi, Lucy Tembo, 2012. "Participation in pro poor agro based enterprises in Malawi: do households’ poverty levels change automatically?," MPRA Paper 39446, University Library of Munich, Germany.
    17. Ongoro, Eunice Boruru & Chitere, Preston Orieko & Ontita, Edward Gizemba, 2022. "Significance of Farmers’ Social Networks in the Uptake of Nerica Technology in Migori, Kenya," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 10(3), July.
    18. Mutanyagwa, Ange Pacifique, 2017. "Smallholder Farmers’ Preferences For Improved Maize Seeds Varieties In Tanzania," Research Theses 265536, Collaborative Masters Program in Agricultural and Applied Economics.

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