Does contract farming improve welfare? A review
By Marc F. Bellemare, Jeffrey R. Bloem. World Development, 2018
262 citations recorded by the source corpus.
Although many urban areas around the world have grown steadily in recent years, the structural transformation, wherein an economy goes from relying primarily on agriculture and natural resources to relying primarily on manufacturing, has eluded many developing countries. In those countries, contract farming, whereby processors contract out the production of some agricultural commodity to growers, is often seen as a means of spurring the development of an agribusiness sector, and thus launch the structural transformation. As a result, economists and other social scientists have extensively researched contract farming over the last 30 years. We review the findings of the economics literature on contract farming and discuss its implications for development policy and research. In so doing, we highlight the methodological weaknesses that limit much of the literature on contract farming in answering questions of relevance for policy. Despite valiant research effort, many of the core features of contract farming imply substantial challenges for researchers aiming to study the question “Does contract farming improve welfare?” We conclude with a discussion of where we see the literature on contract farming evolving over the next few decades.
Subfields: Business and International Management, Economics and Econometrics, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/bc783037154d996cc1175ed298eb41d8e2f7ccc3
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Citations in the corpus
- Using agriculture for development: Supply- and demand-side approaches (2020, unknown): “It consequently has little external validity for what contract farming by a solid private sector partner could do (Bellemare and Bloem, 2018).”
- A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges (2021, background): “Therefore, order agriculture has achieved an effective business model by outsourcing the production demand for agricultural products in advance, which can reduce the planting and breeding risks, and avoid blind production [29].”