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The Role of Conflict in Farmers’ Crop Choices in North Kivu, Democratic Republic of the Congo

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Listed:
  • Kibriya, Shahriar
  • Savio, Graham
  • Price, Edwin
  • King, Joseph

Abstract

Cropping choices under uncertainty caused by weather, input prices, and ecological conditions have been addressed in contemporary literature. However, uncertainty arising from violent conflict on farming choices lacks substantial academic attention. In this research we address the ramifications of conflict on household cropping choices, building on the notion of “conflict resistant” cropping systems introduced in Kibriya et al. 2014 and King et al. 2013. We argue that farming households’ preferences change under conflict as they revert to a cropping system that minimizes losses. This novel concept is solidified by formulating a definition through rational choice theory. The theoretical expectations are verified through data obtained from 2300 smallholder farming households in North Kivu, DRC. A case study and propensity score matching methods are employed to demonstrate that conflict-affected households focus more on low-value crops that are less frequently stolen in order to maximize the probability of survival.

Suggested Citation

  • Kibriya, Shahriar & Savio, Graham & Price, Edwin & King, Joseph, 2016. "The Role of Conflict in Farmers’ Crop Choices in North Kivu, Democratic Republic of the Congo," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 19(3), pages 1-20, August.
  • Handle: RePEc:ags:ifaamr:244690
    DOI: 10.22004/ag.econ.244690
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    References listed on IDEAS

    as
    1. Dercon, Stefan, 1996. "Risk, Crop Choice, and Savings: Evidence from Tanzania," Economic Development and Cultural Change, University of Chicago Press, vol. 44(3), pages 485-513, April.
    2. Guido W. Imbens, 2015. "Matching Methods in Practice: Three Examples," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 373-419.
    3. Alberto Abadie & Guido W. Imbens, 2016. "Matching on the Estimated Propensity Score," Econometrica, Econometric Society, vol. 84, pages 781-807, March.
    4. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    5. Marc Rockmore, 2020. "Conflict-Risk and Agricultural Portfolios: Evidence from Northern Uganda," Journal of Development Studies, Taylor & Francis Journals, vol. 56(10), pages 1856-1876, October.
    6. Kibriya, Shahriar R. & Partida, Vincente & King, Joseph & Price, Edwin, 2014. "Conflict Resistant Agribusiness in Democratic Republic of Congo," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 17(B), pages 1-6, July.
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    Cited by:

    1. Dieudonne Baributsa & Jorge R. Díaz-Valderrama & Déogratias Mughanda & André Lubanzadio & Jean Paul C. Nshombo & Louise Sperling & Ibrahim B. Baoua, 2021. "Grain Handling and Storage in Lubero and Rutshuru Territories in the North Kivu Province, the Democratic Republic of Congo," Sustainability, MDPI, vol. 13(17), pages 1-14, August.
    2. Keenan Marchesi & Marc Rockmore, 2023. "Conflict and nutrition: endogenous dietary responses in Nepal," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 15(1), pages 281-296, February.
    3. Solano-Gaviño, Juan Carlos & Siche, Raúl, 2024. "Smallholder Conflicts in Agribusiness Systems," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 15(01), January.
    4. Arnaud Caiserman & Dominique Dumas & Karine Bennafla & Ghaleb Faour & Farshad Amiraslani, 2019. "Application of Remotely Sensed Imagery and Socioeconomic Surveys to Map Crop Choices in the Bekaa Valley (Lebanon)," Agriculture, MDPI, vol. 9(3), pages 1-19, March.

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