Skip to main content
U.S. flag

An official website of the United States government

A meta-analysis of the adoption of agricultural technology in Sub-Saharan Africa

Author(s):

Aslihan Arslan
Christine Lamanna
Leslie Lipper
Todd S. Rosenstock

Year:

2022

Publication type:

Scientific Journal (JRNL)

Primary Station(s):

Northern Research Station

Source:

PLOS Sustainability and Transformation

Description

Both global poverty and hunger have increased in recent years, endangering progress towards accomplishing Sustainable Development Goals (SDGs) 1 and 2. The regression has been most pronounced in Sub-Saharan Africa (SSA). Meeting the SDG targets requires achieving resilient farm productivity. Although many farm management technologies exist to improve yields, farmers in SSA largely have not adopted these approaches. A long-standing literature about technology adoption identifies multiple hypotheses as to why farmers may or may not adopt new agricultural technologies, culminating in numerous micro-econometric studies. We analyse a metadata set capturing the findings of 164 published studies specifically focusing on SSA and show that 20 out of 38, or 53%, of the determinants commonly believed to influence technology adoption lack empirical support. Eighteen determinants— primarily related to information access, wealth, group membership and social capital, and land tenure—consistently influence adoption across studies. Wealth remains a significant determinant of fertilizer adoption, despite long-running subsidies in most countries, although it is decoupled from the adoption of improved seeds and alternative crop and nutrient management technologies. We highlight the foundational determinants of adoption and offer guidance to design effective interventions that can decrease poverty and hunger towards 2030.

Citation

Arslan, Aslihan; Floress, Kristin; Lamanna, Christine; Lipper, Leslie; Rosenstock, Todd S. 2022. A meta-analysis of the adoption of agricultural technology in Sub-Saharan Africa. PLOS Sustainability and Transformation. 1(7): e0000018. 17 p. https://doi.org/10.1371/journal.pstr.0000018.

Cited

Publication Notes

  • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
  • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
https://www.fs.usda.gov/treesearch/pubs/64591