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Impact Evaluations in Agriculture

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  • Independent Evaluation Group

Abstract

This report seizes the opportunity to learn from existing evidence by analyzing lessons derived from impact evaluations produced between 2000 and January 2009 to begin to discern what has been effective in agriculture. It is part of a broader effort being undertaken by the Independent Evaluation Group (IEG) of the World Bank to understand how impact evaluations can help improve performance and broadly disseminate those lessons. Specifically, the report has three objectives: 1) assess the current state of impact evaluations in the agriculture sector and highlight challenges that users face when trying to answer what works best in the sector; 2) derive a taxonomy of agriculture interventions evaluated using impact evaluation methodology, and identify the most common constraints for farmers and addressed by those interventions; and 3) highlight what can be said about the impact of different interventions on agricultural outcomes (focusing on productivity and farm income). Also, point to areas for future research of agricultural interventions to broaden the use of this analysis. The rest of this chapter provides some necessary definitions for the report, outlines the conceptual framework, and presents a brief background on the selection of impact evaluations (IEs) from the evaluation literature. Chapter two provides a profile of the evidence, including IE characteristics and challenges encountered in the analysis. Chapter three looks within the interventions and presents a formal taxonomy of all agricultural interventions represented in the group analyzed for the report. Chapter four delves into the evidence by presenting the primary constraints dealt with in the interventions, the results reported by the evaluations, and some lessons that may be incorporated into future project design. Chapter five concludes with some general remarks.

Suggested Citation

  • Independent Evaluation Group, 2011. "Impact Evaluations in Agriculture," World Bank Publications - Books, The World Bank Group, number 27794.
  • Handle: RePEc:wbk:wbpubs:27794
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    Citations

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    Cited by:

    1. Joana Silva & Rita Almeida & Victoria Strokova, 2015. "Sustaining Employment and Wage Gains in Brazil," World Bank Publications - Books, The World Bank Group, number 22545.
    2. Ragasa, Catherine, 2012. "Gender and Institutional Dimensions of Agricultural Technology Adoption: A Review of Literature and Synthesis of 35 Case Studies," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126747, International Association of Agricultural Economists.
    3. Tewodaj Mogues & Valerie Mueller & Florence Kondylis, 2019. "Cost-effectiveness of community-based gendered advisory services to farmers: Analysis in Mozambique and Tanzania," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-32, March.
    4. Bino Paul & Unmesh Patnaik & Subash Sasidharan & Kamal Kumar Murari & Chandra Sekhar Bahinipati, 2022. "Fertilizer Use, Value, and Knowledge Capital: A Case of Indian Farming," Sustainability, MDPI, vol. 14(19), pages 1-16, September.
    5. Evan Borkum & Jane Fortson & Candace Miller, "undated". "Evaluation Design for the Transition to High-Value Agriculture Project in Moldova," Mathematica Policy Research Reports 1657b4c5d69e4de4a2d1386ff, Mathematica Policy Research.
    6. repec:mpr:mprres:7879 is not listed on IDEAS
    7. Beliyou Haile & Carlo Azzarri & Cleo Roberts & David J. Spielman, 2017. "Targeting, bias, and expected impact of complex innovations on developing-country agriculture: evidence from Malawi," Agricultural Economics, International Association of Agricultural Economists, vol. 48(3), pages 317-326, May.
    8. Boris E. Bravo‐Ureta & Mario González‐Flores & William Greene & Daniel Solís, 2021. "Technology and Technical Efficiency Change: Evidence from a Difference in Differences Selectivity Corrected Stochastic Production Frontier Model," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 362-385, January.
    9. Christopher Ksoll & Chantal Toledo & Seth Morgan & Anca Dumitrescu & Kristen Velyvis, "undated". "Evaluation of the Burkina Faso Agriculture Development Project: Design Report," Mathematica Policy Research Reports 1eb478039edc4b0eaaa6144ba, Mathematica Policy Research.
    10. Annemie Maertens & Hope Michelson & Vesall Nourani, 2021. "How Do Farmers Learn from Extension Services? Evidence from Malawi," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 569-595, March.
    11. Randall Blair & Kenneth Fortson & Joanne Lee & Anu Rangarajan, "undated". "Should Foreign Aid Fund Agricultural Training? Evidence from Armenia," Mathematica Policy Research Reports 74d16d1a54bd430eb39d64979, Mathematica Policy Research.
    12. Boris E. Bravo-Ureta, 2014. "Stochastic frontiers, productivity effects and development projects," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 51-58.

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