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Beyond the business case for agricultural value chain development: An economywide approach applied to Egypt monitoring survey

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  • Breisinger, Clemens
  • Raouf, Mariam
  • Thurlow, James
  • Wiebelt, Manfred

Abstract

This paper goes beyond the “business†case for agricultural value chain development and presents an economy-wide framework to make the “development†case. We show that there are several key transmission channels that determine the economy-wide impacts of promoting various value chains, including forward and backward economic linkages, price responses, and net employment effects. These impacts all matter for household incomes, poverty, and dietary diversity. Results for Egypt show that agricultural value chain development generates economy-wide growth as well as growth in the agri-food system, but the impacts on employment suggest that agricultural growth can create new (and better) jobs in and beyond the agri-food system, but not necessarily more jobs. The results also show that productivity-driven agricultural growth in all crops is pro-poor and improves nutrition. However, potential adverse effects of livestock-led growth show that growth acceleration in single sectors can be negative, highlighting the importance of a systems analysis or, in our case, an economy-wide analysis. It is clear that no single sub-sector is best at achieving all the development outcomes examined. Moreover, the ranking of value chains by their development outcomes differs across sub-national regions. As such, results from this paper may provide useful decision support for the government and its development partners to select value chains depending on their priority development outcomes.

Suggested Citation

  • Breisinger, Clemens & Raouf, Mariam & Thurlow, James & Wiebelt, Manfred, 2019. "Beyond the business case for agricultural value chain development: An economywide approach applied to Egypt monitoring survey," MENA working papers 18, International Food Policy Research Institute (IFPRI).
  • Handle: RePEc:fpr:menawp:18
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    Cited by:

    1. Mukashov, A., 2023. "Parameter uncertainty in policy planning models: Using portfolio management methods to choose optimal policies under world market volatility," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 187-202.
    2. Abdelrahman Ali & Chunping Xia & Moustafa Ismaiel & N’Banan Ouattara & Irfan Mahmood & Dessalegn Anshiso, 2021. "Analysis of determinants to mitigate food losses and waste in the developing countries: empirical evidence from Egypt," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 26(6), pages 1-26, August.

    More about this item

    Keywords

    EGYPT; ARAB COUNTRIES; MIDDLE EAST; NORTH AFRICA; AFRICA; YEMEN; ARAB COUNTRIES; MIDDLE EAST; SOUTHWESTERN ASIA; ASIA; supply chain; food Systems; employment; nutrition; economic growth; economic development; value chain; agricultural growth; employment effect; nutrition effect; Computable General Equilibrium (CGE) model; C68 Computable General Equilibrium Models;
    All these keywords.

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models

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