Skip to main content

Adoption, Diffusion, and Scaling of Agricultural Technologies in Developing Countries

  • Chapter
  • 981 Accesses

Part of the book series: Sustainable Agriculture Reviews ((SARV,volume 18))

Abstract

Many organizations struggle to develop plans to achieve levels of scaling for agricultural technologies that demonstrate population-level impacts in developing countries. Scaling is a complex process, involving many disparate actors. There is no consensus model to follow; different models are needed at different stages. Practice for sound development activity planning generally involves analysis of feasibility in key areas, such as economic, financial, environmental, social, institutional, and technical. Attention to these should guarantee suitable, scalable, and sustainable technologies. This paper provides an introduction to the topics of the adoption, diffusion and scaling, with examples from agriculture.

Relevant methods from the literature are reviewed to provide the reader with a general understanding of scaling and their application. Roger’s model of the adoption and diffusion of technologies is presented and explained in context of agriculture in the developing world. Diffusion is a social process, and five qualities are necessary for an innovation to spread. The way to engage the five groups of adopters – innovators, early adopters, early majority, late majority and laggards – in the adoption process are discussed. Peer to peer communication is critical in the spread of an innovation. A model of scaling up and a set of key questions to frame an organization’s scaling activities are critical to successful diffusion. Public-private partnerships are required for a technology or intervention to cross the “valley of death” between public funding of the research phase and private support of the market phase so it will be sustainable. The spread of orange flesh sweet potato, tractors and cows for power, and axial flow pumps for irrigation demonstrate how the diffusion model applies to actual products. Organizations must be open to innovation and change for scaling to succeed. As a result, they must involve different types of partners with knowledge of the social contexts and the types of adopters of the stages of scaling. The Asian Green Revolution is an example of the complexity of the process of the diffusion of multiple technologies required for success of this world-changing event. Government funding was critical in supporting the research that developed the agricultural technologies. An enabling economic environment consisting of incentives, policies, and subsidies, as well as land tenure reform, was necessary so that farmers and the private sector would participate in and drive the spread of the technologies and make the revolution succeed. This investment and support must be sustained in the long term, as the spread of technologies can take a decade or more, as did the Asian Green Revolution, which one can argue is still occurring. Agriculture revolutions must be pro-poor and environmentally sustainable or else they will fail in the long term.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Abdulai A, Huffman WE (2005) The diffusion of new agricultural technologies: the case of crossbred-cow technology in Tanzania. Am J Agric Econ 87:645–659

    Article  Google Scholar 

  • Arrow K (1968) Classificatory notes on the production and transmission of technical knowledge. Am Econ Rev 81:29–35

    Google Scholar 

  • Beddow JM (2012) A bio-economic assessment of the spatial dynamics of U.S. corn production and yields. PhD dissertation, The University of Minnesota

    Google Scholar 

  • Bouis H, Islam Y (2012) Delivering nutrients widely through biofortification: building an orange sweet potato, Focus 19, Brief 11. In: Linn JF (ed) Scaling up in agriculture, rural development and nutrition: 2020 vision for food, agriculture, and the environment. Brookings Institution, Washington, DC

    Google Scholar 

  • Chinsuwan W, Cochran BJ (1986) The axial-flow low-lift pump in Thailand. In Small farm equipment for developing countries. In: Proceedings of the international conference on small farm equipment for developing countries: past experiences and future priorities, 2–6 Sept, pp 195–203, Manila, Philippines

    Google Scholar 

  • Dalberg Global Development Advisors (2010) Innovations for agricultural value chains in Africa (draft presentation), Manila, Philippines

    Google Scholar 

  • Deibel KN (2011) Understanding and supporting the adoption of assistive technologies by adults with reading disabilities. PhD dissertation, University of Washington

    Google Scholar 

  • Dorward A, Kydd J, Morrison J, Urey I (2004) A policy agenda for pro-poor agricultural growth. World Dev 32(1):73–89

    Article  Google Scholar 

  • Feder G, O’Mara GT (1981) Farm size and diffusion of green revolution technology. Econ Dev Tech Change 30:59–76

    Google Scholar 

  • Felton N, Cox WM, Alm R (2008) You are what you spend. New York Times, 10 Feb, New York City

    Google Scholar 

  • Gardner BL (2002) American agriculture in the twentieth century: how it flourished and what it cost. Harvard University Press, Cambridge

    Google Scholar 

  • Gladwell M (2000) The tipping point. Little, Brown and Company, New York

    Google Scholar 

  • Griliches Z (1957) Hybrid corn: an exploration in the economics of technological change. Econometrica 25:501–522

    Article  Google Scholar 

  • Hartmann A, Linn JF (2007) Scaling up – a path to effective development, in 2020 focus brief on the world’s poor and hungry people. The Brookings Institution, Washington, DC

    Google Scholar 

  • Hartmann A, Linn JF (2008) Scaling up through aid – the real challenge. The Brookings Institution, Washington, DC

    Google Scholar 

  • Hazell PBR (2009) The Asian Green Revolution, IFPRI discussion paper 00911. International Food Policy Research Institute, Washington, DC, pp 20–22

    Google Scholar 

  • International Fund for Agricultural Development (IFAD) (2011) Report number 2263-BD, Bangladesh haor infrastructure and livelihood improvement project, enabling poor people to adapt to climate change, project design report, vol 1: main report, May

    Google Scholar 

  • Kickstart (n.d.) http://www.kickstart.org/products/super-moneymaker/

  • Koh E, Karamchandani A, Katz R (2012) From blueprint to scale: the case for philanthropy in impact investing. Monitor Group, Arlington, VA

    Google Scholar 

  • Krueger AO, Schiff M, Valdés A (1991) The political economy of agricultural pricing policy. Johns Hopkins University Press, Baltimore

    Google Scholar 

  • Linder RK, Fisher A, Pardey PG (1979) The time to early adoption. Econ Lett 2:187–190

    Article  Google Scholar 

  • Linn JF, Hartmann A, Kharas H, Kohl R, Massler B (2010) Scaling up the fight against rural poverty: an institutional review of IFAD’S approach. Global economy and development working paper 43, Brookings Institution, Washington, DC

    Google Scholar 

  • Manuelli RE, Seshadri A (2013) Frictionless technology diffusion: the case of tractors, working paper 2013-022B. Federal Reserve Bank, St. Louis

    Google Scholar 

  • MSI (2012a) Scaling up – from vision to large scale change: a management framework for practitioners, 2nd edn. Management Systems International, Washington, DC

    Google Scholar 

  • MSI (2012b) Scaling up – from vision to large scale change: tools and techniques for practitioners. Management Systems International, Washington, DC

    Google Scholar 

  • NASA (2005) Definition of technology readiness levels. http://esto.nasa.gov/files/trl_definitions.pdf. Accessed 14 Jan 2014

  • Nederlof S, Wongtschowski M, van der Lee F (eds) (2011) Putting heads together. Agricultural innovation platforms in practice, vol 396, Bulletin. KIT Publishers, Amsterdam

    Google Scholar 

  • O’Mara G (1971) A decision-theoretic view of the microeconomics of technique diffusion in a developing country. PhD thesis, Stanford University

    Google Scholar 

  • Pardey PG, Beddow JM (2013) Agricultural innovation: the United States in a changing global reality. The Chicago Council on Global Affairs, Chicago

    Google Scholar 

  • Robinson LA (n.d.) Summary of diffusion of innovations. http://www.enablingchange.com.au/Summary_Diffusion_Theory.pdf. Accessed 22 Oct 2013

  • Rogers E (1995) Diffusion of innovations. Free Press, New York

    Google Scholar 

  • Ryan B, Gross NC (1934) The diffusion of hybrid seed corn in two Iowa communities. Rural Sociol 8(1):15–24

    Google Scholar 

  • Sansom RL (1969) The motor pump: a case study of innovation and development. Oxf Econ Pap New Ser 21(1):109–121

    Google Scholar 

  • Simmons R, Ghiron L, Fajans P (2010) Nine steps for developing a scaling-up strategy. World Health Organization, Geneva

    Google Scholar 

  • Tavakul D (1941) Debriddhi pump [in Thai]. Kasikom J 14(2):281–283

    Google Scholar 

  • Thirtle CG, Ruttan VW (1986) The role of demand and supply in the generation and diffusion of technical change, bulletin number 86–5. Economic Development Center, University of Minnesota, St. Paul-Minneapolis, MN

    Google Scholar 

Download references

Acknowledgments

Kerry Byrnes, Mark Huisenga, Gary Alex, Julie Howard, Johannes Linn, Larry Cooley, Tim Krupnik, and Somers Gregg provided valuable input to this paper. It was prepared by Prof. Jonathan Colton during his term as a 2013–2014 U.S. Department of State Jefferson Science Fellow with the Office of Agricultural Research and Policy, Bureau for Food Security, U.S. Agency for International Development . Views expressed do not necessarily reflect those of the U.S. Agency for International Development or the U.S. Government.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jonathan S. Colton .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Colton, J.S. (2015). Adoption, Diffusion, and Scaling of Agricultural Technologies in Developing Countries. In: Lichtfouse, E. (eds) Sustainable Agriculture Reviews. Sustainable Agriculture Reviews, vol 18. Springer, Cham. https://doi.org/10.1007/978-3-319-21629-4_2

Download citation

Publish with us

Policies and ethics