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Impact of agricultural innovation adoption: a meta†analysis

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  • Kolawole Ogundari
  • Olufemi D. Bolarinwa

Abstract

The impacts of adopting agricultural innovation and technology are widely examined. This paper synthesises 154 studies, which yielded a total of 600 estimates of the impact of adopting agricultural innovation and technology on production, social and economic outcomes. Using meta†regression analysis, the empirical results show that the reported impact of adopting agricultural innovation and technology rises significantly over time, notwithstanding a significant publication bias. Whether studies find significant impacts of adopting agricultural innovation and technology depends on the use of experimental research designs, parametric method, endogenous switching regression and region. Our results show a large bias in the literature towards agricultural innovations and technologies that focus on high†yielding varieties and thus, neglect other forms of complementary innovations and technologies.

Suggested Citation

  • Kolawole Ogundari & Olufemi D. Bolarinwa, 2018. "Impact of agricultural innovation adoption: a meta†analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(2), pages 217-236, April.
    • Handle: RePEc:bla:ajarec:v:62:y:2018:i:2:p:217-236
    DOI: 10.1111/1467-8489.12247
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    1. Tong, Lan Anh & Ulubasoglu, Mehmet Ali & Guven, Cahit, 2022. "Growing more Rice with less water: the System of Rice Intensification and water productivity in Vietnam," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(03), January.
    2. Wanjira, John K. & Mburu, John I. & Nzuve, Felister M. & Makokha, Stella & Emongor, Rosemary A. & Taracha, Catheline, 2022. "Impact of climate-smart maize varieties on household income among smallholder farmers in Kenya: The case of Embu County," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 17(3), September.
    3. Gideon Danso-Abbeam & Lloyd J. S. Baiyegunhi & Mark D. Laing & Hussein Shimelis, 2021. "Food security impacts of smallholder farmers’ adoption of dual-purpose sweetpotato varieties in Rwanda," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(3), pages 653-668, June.
    4. Nguyen Duc Kien & Truong Quang Dung & Dinh Thi Kim Oanh & Le Thanh An & Nguyen Cong Dinh & Nguyen Thai Phan & Le Thi Thanh Nga, 2023. "Climate‐resilient practices and welfare impacts on rice‐cultivating households in Vietnam: Does joint adoption of multiple practices matter?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(2), pages 263-284, April.
    5. Schulz, Dario & Börner, Jan, 2021. "Context and Technology Traits Explain Heterogeneity Across Adoption Studies of Agricultural Innovations: A Global Meta-Analysis," 2021 Conference, August 17-31, 2021, Virtual 315003, International Association of Agricultural Economists.
    6. Wanglin Ma & Sanghyun Hong & W. Robert Reed & Jianhua Duan & Phong Luu, 2023. "Yield effects of agricultural cooperative membership in developing countries: A meta‐analysis," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 94(3), pages 761-780, September.
    7. Dahao Guo & Yuancheng Lin & Min Wang & Zirou Huang, 2023. "Spatial Distribution Pattern, Evolution and Influencing Mechanism of Ecological Farms in China," Land, MDPI, vol. 12(7), pages 1-20, July.
    8. Dario Schulz & Jan Börner, 2023. "Innovation context and technology traits explain heterogeneity across studies of agricultural technology adoption: A meta‐analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(2), pages 570-590, June.
    9. Ogundari, Kolawole, 2021. "A systematic review of statistical methods for estimating an education production function," MPRA Paper 105283, University Library of Munich, Germany.
    10. Varshney, Deepak & Mishra, Ashok K. & Joshi, Pramod K. & Roy, Devesh, 2022. "Social networks, heterogeneity, and adoption of technologies: Evidence from India," Food Policy, Elsevier, vol. 112(C).
    11. Maleki, Tahereh & Koohestani, Hossein & Keshavarz, Marzieh, 2022. "Can climate-smart agriculture mitigate the Urmia Lake tragedy in its eastern basin?," Agricultural Water Management, Elsevier, vol. 260(C).
    12. Ruzzante, Sacha & Labarta, Ricardo & Bilton, Amy, 2021. "Adoption of agricultural technology in the developing world: A meta-analysis of the empirical literature," World Development, Elsevier, vol. 146(C).
    13. Guven, Cahit & Tong, Lan & Ulubasoglu, Mehmet, 2021. "Growing More Rice with Less Water: The System of Rice Intensification and Rice Productivity in Vietnam," MPRA Paper 108768, University Library of Munich, Germany.

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