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Agricultural Modernization, Structural Change and Pro-poor Growth: Policy Options for the Democratic Republic of Congo

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  • Christian Otchia

Abstract

This paper applies the framework for pro-poor analysis to welfare changes from a CGE-microsimulation model to analyze what are the better or worse models for agriculture modernization, and to estimate the contribution of growth and redistribution to changes in poverty in DRC. The findings indicate that labor-using technological change generates absolute and relative pro-poor effects whereas capital-using technological change leads to immiserizing growth. More importantly, the results suggest that labor-using technological change can be independently sufficient for reducing poverty via the income growth effects. This study also highlights how developing input supply networks, securing tenure among smallholders, and improving access to land for women are important for pro-poor agricultural modernization. Copyright Otchia; licensee Springer 2014

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  • Christian Otchia, 2014. "Agricultural Modernization, Structural Change and Pro-poor Growth: Policy Options for the Democratic Republic of Congo," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 3(1), pages 1-43, December.
    • Handle: RePEc:spr:jecstr:v:3:y:2014:i:1:p:1-43:10.1186/s40008-014-0008-x
    DOI: 10.1186/s40008-014-0008-x
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    Cited by:

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    2. Fatemeh Keshavarz-Ghorbani & Seyed Hamid Reza Pasandideh, 2022. "Modeling and optimizing an agro-supply chain considering different quality grades and storage systems for fresh products: a Benders decomposition solution approach," Journal of Combinatorial Optimization, Springer, vol. 44(1), pages 21-50, August.
    3. Pietro De Marinis & Samuele De Petris & Filippo Sarvia & Giacinto Manfron & Evelyn Joan Momo & Tommaso Orusa & Gianmarco Corvino & Guido Sali & Enrico Mondino Borgogno, 2021. "Supporting Pro-Poor Reforms of Agricultural Systems in Eastern DRC (Africa) with Remotely Sensed Data: A Possible Contribution of Spatial Entropy to Interpret Land Management Practices," Land, MDPI, vol. 10(12), pages 1-22, December.
    4. Katcho Karume & Jean M. Mondo & Géant B. Chuma & Angele Ibanda & Espoir M. Bagula & Alex Lina Aleke & Serge Ndjadi & Bintu Ndusha & Pascaline Azine Ciza & Nadege Cirezi Cizungu & Daniel Muhindo & Anth, 2022. "Current Practices and Prospects of Climate-Smart Agriculture in Democratic Republic of Congo: A Review," Land, MDPI, vol. 11(10), pages 1-19, October.
    5. Otchia, Christian S., 2015. "Mining-based growth and productive transformation in the Democratic Republic of Congo: What can an African lion learn from an Asian tiger?," Resources Policy, Elsevier, vol. 45(C), pages 227-238.

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    More about this item

    Keywords

    Agricultural modernization; Technological change; Pro-poor growth; Input reform; CGE-microsimulation; C68; D33; O33; Q10; Q18;
    All these keywords.

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • D33 - Microeconomics - - Distribution - - - Factor Income Distribution
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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