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Food Crop Marketing and Agricultural Productivity in a High Price Environment: Evidence and Implications for Mozambique

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  • Benfica, Rui
  • Boughton, Duncan
  • Uaiene, Rafael

Abstract

The recent high food price environment is an opportunity for Africa’s smallholder farmers. This paper assesses the relationship between agricultural productivity and market participation/performance in smallholder response to a high food price environment in Mozambique. We use panel data before and after the change in price regime to identify the relative importance of market access/participation versus household and farm-level factors in explaining productivity differences. Conversely, we look at the relative importance of productivity investments and outcomes versus marketing investments in explaining household market performance. Results suggest that creating an enabling environment for greater access to markets can have important effects on productivity of cereals and groundnuts/beans, but direct investments that lead to increased adoption of productivity enhancing technologies are also important to maximize market access benefits. Finally, we highlight investment priorities to strengthening agricultural market participation and performance and improve productivity.

Suggested Citation

  • Benfica, Rui & Boughton, Duncan & Uaiene, Rafael, 2015. "Food Crop Marketing and Agricultural Productivity in a High Price Environment: Evidence and Implications for Mozambique," 2015 Conference, August 9-14, 2015, Milan, Italy 211217, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae15:211217
    DOI: 10.22004/ag.econ.211217
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    Cited by:

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    2. Antonio S. Cruz & Fausto J. Mafambissa, 2016. "Industries without smokestacks: Mozambique country case study," WIDER Working Paper Series 158, World Institute for Development Economic Research (UNU-WIDER).
    3. Yao, B. & Shanoyan, A., 2018. "The Use of Mobile Money Application and Smallholder Farmer Market Participation: Evidence form Cote d Ivoire and Tanzania," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277259, International Association of Agricultural Economists.
    4. Zhiqiang Liu & Hejun Liang & Dongping Pu & Fei Xie & E Zhang & Qi Zhou, 2020. "How Does the Control of Grain Purchase Price Affect the Sustainability of the National Grain Industry? One Empirical Study from China," Sustainability, MDPI, vol. 12(5), pages 1-21, March.
    5. Maria Teresa Trentinaglia & Lucia Baldi & Massimo Peri, 2023. "Supporting agriculture in developing countries: new insights on the impact of official development assistance using a climate perspective," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-23, December.
    6. Atsushi Iimi, 2022. "Agriculture Production and Transport Connectivity: Evidence from Mozambique," Journal of Development Studies, Taylor & Francis Journals, vol. 58(12), pages 2483-2502, December.
    7. Raul Pitoro, PhD, 2017. "The Initial Land Endowments And Livelihoods Of Rural Smallholders In Central And Northern Mozambique," International Journal of Agriculture and Environmental Research, Malwa International Journals Publication, vol. 3(3), June.
    8. António S. Cruz & Fausto J. Mafambissa, 2016. "Industries without smokestacks: Mozambique country case study," WIDER Working Paper Series wp-2016-158, World Institute for Development Economic Research (UNU-WIDER).
    9. Grabowski, Philip & Kerr, John & Donovan, Cynthia & Mouzinho, Bordalo, 2015. "A Prospective Analysis of Participatory Research on Conservation Agriculture in Mozambique," Food Security Collaborative Working Papers 198703, Michigan State University, Department of Agricultural, Food, and Resource Economics.

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    More about this item

    Keywords

    Agribusiness; Food Consumption/Nutrition/Food Safety; Marketing;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation

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