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Synergies and tradeoffs between cash crop production and food security: a case study in rural Ghana

Abstract

Despite dramatic improvements in global crop yields over the past half-century, chronic food insecurity persists in many parts of the world. Farming crops for sale (cash cropping) has been recommended as a way to increase income that can, in turn, improve food security for smallholder farmers. Despite long-term efforts by development agencies and government to promote cash cropping, there is limited evidence documenting a relationship between these crops and the food security of households cultivating them. We used a mixed methods approach to build a case study to assess these relationships by collecting quantitative and qualitative data from cacao and oil palm farmers in the Ashanti region of Ghana. Three dimensions of food security were considered: food availability, measured by the months in a year households reported inadequate food; food access, indicated by the coping strategies they employed to secure sufficient food; and food utilization, gauged by the diversity of household diets and anthropometric measurements of child nutritional status. We found significant negative relationships between each of these pillars of food security and a household’s intensity of cash crop production, measured by both quantity and area. A qualitative assessment indicated community perception of these tradeoffs and identified potential mechanisms, including increasing food prices and competing activities for land use, as underlying causes. The adverse relationship between cash crop production and household food security observed in this paper calls for caution; results suggest that positive relationships cannot be assumed, and that further empirical evidence is needed to better understand these tradeoffs.

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References

  • Abdulai, A., Jain, D. K., & Sharma, A. K. (1999). Household food demand analysis in India. Journal of Agricultural Economics, 50(2), 316–327.

    Article  Google Scholar 

  • Adam, C., Bevan, D., Gollin, D., & Mkenda, B. (2012). Transportation costs, food markets and structural transformation: The case of Tanzania. [Working Paper]. University of Oxford, Department of Economics, Working Paper.

  • Batisani, N. (2012). Climate variability, yield instability and global recession: the multi-stressor to food security in Botswana. Climate and Development, 4(2), 129–140. doi:10.1080/17565529.2012.728129.

    Article  Google Scholar 

  • Bellow, J. G., Hudson, R. F., & Nair, P. K. R. (2008). Adoption potential of fruit-tree-based agroforestry on small farms in the subtropical highlands. Agroforestry Systems, 73(1), 23–36. doi:10.1007/s10457-008-9105-x.

    Article  Google Scholar 

  • Bilinsky, P., & Swindale, A. (2007). Months of adequate household food provisioning (MAHFP) for measurement of household food access: indicator guide. Washington DC: Food and Nutritional Technical Assistance Project, Academy for Educational Development.

  • Branca, F., Pastore, G., Demissie, T., & Ferroluzzi, A. (1993). The nutritional impact of seasonality in children and adults of rural Ethiopia. European Journal of Clinical Nutrition, 47(12), 840–850.

    CAS  PubMed  Google Scholar 

  • Carvalho, S., & White, H. (1997). Combining the quantitative and qualitative approaches to poverty measurement and analysis: the practice and the potential (Vol. 23): Washington, DC: World Bank Publications.

  • Chung, K. (1997). Identifying the food insecure: The application of mixed-method approaches in India. Free downloads from IFPRI.

  • Clark, N., McLaughlin, J., Owusu-Ansah, D., Owusu, M., & Ofcansky, T. (1995). A country study: Ghana. In LeVerle Berry (Ed.), Federal Research Division. Washington, DC: Library of Congress.

  • Coates, J., Swindale, A., & Bilinsky, P. (2007). Household Food Insecurity Access Scale (HFIAS) for measurement of food access: indicator guide. Washington, DC: Food and Nutrition Technical Assistance Project, Academy for Educational Development.

    Google Scholar 

  • Cogill, B. (2001). Anthropometric indicators measurement guide. Washington, D.C.: Food and Nutrition Technical Assistance Project, Academy for Educational Development.

    Google Scholar 

  • De Onis, M., & Blössner, M. (2003). The World Health Organization global database on child growth and malnutrition: methodology and applications. International Journal of Epidemiology, 32(4), 518–526.

  • Dema, I. S. (1964). The improvement of nutrition through the development of agriculture in Nigeria (Proceedings of the Sixth International Congress of Nutrition, Edinburgh, 9–15 August, 1963).

  • Devereux, S., & Longhurst, R. (2010). Incorporating seasonality into agricultural project design and learning*. Ids Bulletin-Institute of Development Studies, 41(6), 88–95. doi:10.1111/j.1759-5436.2010.00186.x.

    Article  Google Scholar 

  • Dewalt, K. M. (1993). Nutrition and the commercialization of agriculture—10 years later. Social Science & Medicine, 36(11), 1407–1416. doi:10.1016/0277-9536(93)90383-f.

    CAS  Article  Google Scholar 

  • Dewey, K. G. (1981). Nutritional consequences of the transformation from subsistence to commercial agriculture in Tabasco, Mexico. Human Ecology, 9(2), 151–187. doi:10.1007/bf00889132.

    Article  Google Scholar 

  • Dostie, B., Haggblade, S., & Randriamamonjy, J. (2002). Seasonal poverty in Madagascar: magnitude and solutions. Food Policy, 27(5–6), 493–518. doi:10.1016/s0306-9192(02)00063-5.

    Article  Google Scholar 

  • Due, J. M., & Gladwin, C. H. (1991). Impacts of structural adjustment programs on African women farmers and female-headed households. American Journal of Agricultural Economics, 73(5), 1431–1439. doi:10.2307/1242398.

    Article  Google Scholar 

  • Fafchamps, M. (1992). Cash crop production, food price volatility, and rural market integration in the third world. American Journal of Agricultural Economics, 74(1), 90–99.

    Article  Google Scholar 

  • FAO/FANTA. (2007). Guidelines for measuring household and individual dietary diversity. Rome: FAO, EC/FAO, FANTA.

    Google Scholar 

  • FAO, WFP, & IFAD (2012). The State of Food Insecurity in the World 2012.

  • FAOSTAT (2012). FAOSTAT. http://faostat3.fao.org/home/index.html. Accessed 23 Dec 2012.

  • FAOSTAT (2014). FAOSTAT. http://faostat3.fao.org/faostat-gateway.

  • Filmer, D., & Pritchett, L. H. (2001). Estimating wealth effects without expenditure data—or tears: an application to educational enrollments in states of India*. Demography, 38(1), 115–132.

    CAS  PubMed  Google Scholar 

  • Gauchan, D. (1997). Fruit tree integration: An option to improve household food security in Nepal’s mountain region (Food Security and Innovations: Successes and Lessons Learned). New York: Peter Lang Publishing Inc.

  • Gelman, A. (2008). Scaling regression inputs by dividing by two standard deviations. Statistics in Medicine, 27(15), 2865–2873. doi:10.1002/sim.3107.

    PubMed  Article  Google Scholar 

  • Godfray, H. C. J., Beddington, J. R., Crute, I. R., Haddad, L., Lawrence, D., Muir, J. F., et al. (2010). Food Security: the challenge of feeding 9 billion people. Science, 327(5967), 812–818. doi:10.1126/science.1185383.

    CAS  PubMed  Article  Google Scholar 

  • Gollin, D., & Rogerson, R. (2010). Agriculture, roads, and economic development in Uganda. Cambridge, MA: National Bureau of Economic Research.

  • Hatloy, A., Torheim, L. E., & Oshaug, A. (1998). Food variety—a good indicator of nutritional adequacy of the diet? A case study from an urban area in Mali, West Africa. European Journal of Clinical Nutrition, 52(12), 891–898. doi:10.1038/sj.ejcn.1600662.

    CAS  PubMed  Article  Google Scholar 

  • Hoddinott, J., & Haddad, L. (1995). Does female income share influence household expenditures? Evidence from Côte D’Ivoire. Oxford Bulletin of Economics and Statistics, 57(1), 77–96. doi:10.1111/j.1468-0084.1995.tb00028.x.

    Article  Google Scholar 

  • Hought, J., Birch-Thomsen, T., Petersen, J., de Neergaard, A., & Oelofse, M. (2012). Biofuels, land use change and smallholder livelihoods: a case study from Banteay Chhmar, Cambodia. Applied Geography, 34, 525–532. doi:10.1016/j.apgeog.2012.02.007.

    Article  Google Scholar 

  • ICRISAT (2009). Guidelines for qualitative data collection: qualitative tools for understanding perceptions and adaptation strategies to climate change. Patancheru, India: ICRISAT.

  • Immink, M. D. C., & Alarcon, J. A. (1993). Household income, food availability, and commercial crop production by smallholder farmers in the western highlands of Guatemala. Economic Development and Cultural Change, 41(2), 319–342. doi:10.2307/1154424.

    Article  Google Scholar 

  • Jones, S., & Gibbon, P. (2011). Developing agricultural markets in Sub-Saharan Africa: organic cocoa in rural Uganda. Journal of Development Studies, 47(10), 1595–1618. doi:10.1080/00220388.2011.579107.

    Article  Google Scholar 

  • Kanyamurwa, J. M., Wamala, S., Baryamutuma, R., Kabwama, E., & Loewenson, R. (2013). Differential returns from globalization to women smallholder coffee and food producers in rural Uganda. African Health Sciences, 13(3), 829–841. doi:10.4314/ahs.v13i3.44.

    CAS  PubMed Central  PubMed  Google Scholar 

  • Kennedy, E., & Peters, P. (1992). Household food security and child nutrition: the interaction of income and gender of household head. World Development, 20(8), 1077–1085. doi:10.1016/0305-750x(92)90001-c.

    Article  Google Scholar 

  • Kennedy, E., Bouis, H., & Vonbraun, J. (1992). Health and nutrition effects of cash crop production in developing-countries—a comparative-analysis. Social Science & Medicine, 35(5), 689–697. doi:10.1016/0277-9536(92)90007-d.

    CAS  Article  Google Scholar 

  • Khandker, S. R. (2012). Seasonality of income and poverty in Bangladesh. Journal of Development Economics, 97(2), 244–256. doi:10.1016/j.jdeveco.2011.05.001.

    Article  Google Scholar 

  • Kiriti, T. W., & Tisdell, C. (2004). Commercial agriculture, marital status and other influences on food availability: a Kenyan case study. Journal of Food Agriculture & Environment, 2(3–4), 141–148.

    Google Scholar 

  • Komarek, A. M. (2010). Crop diversification decisions: the case of vanilla in Uganda. Quarterly Journal of International Agriculture, 49(3), 227–242.

    Google Scholar 

  • Kranjac-Berisavljevic, G., Balma, Y. I., & Gandaa, B. Z. (2009). Securing food in the Hungry season: Role of the Baobab Tree. In H. Jaenicke, J. Ganry, I. HoeschleZeledon, & R. Kahane (Eds.), International symposium on underutilized plants for food security, nutrition, income and sustainable development (Vol. 806, pp. 85–91, Acta Horticulturae). Leuven 1: Int Soc Horticultural Science.

  • Kuwornu, J. K., Darko, F. A., Osei-Asare, Y. B., & Egyir, I. S. (2009). Exports of palm oil from Ghana: a demand analysis. Journal of food distribution research, 40(1).

  • Leonard, W. R., Dewalt, K. M., Uquillas, J. E., & Dewalt, B. R. (1994). Diet and nutritional status among cassava producing agriculturalists of coastal Ecuador. Ecology of Food and Nutrition, 32(3–4), 113–127. doi:10.1080/03670244.1994.9991393.

    Article  Google Scholar 

  • Mainardi, S. (2012). Duration dependence and dynamic conditional covariance of seasonal food price shocks in semi-arid African countries. Food Security, 4(2), 235–252. doi:10.1007/s12571-012-0179-y.

    Article  Google Scholar 

  • Marsland, N., Wilson, I., Abeyasekera, S., & Kleih, U. (2001). Combining quantitative (formal) and qualitative (informal) survey methods. Socioeconomic Methodologies for Natural Resources Research: Best Practice Guidelines.

  • Maxwell, D. G. (1998). Can qualitative and quantitative methods serve complementary purposes for policy research? Washington, DC: International Food Policy Research Institute (IFPRI).

  • Maxwell, S., & Fernando, A. (1989). Cash crops in developing countries: the issues, the facts, the policies. World Development, 17(11), 1677–1708. doi:10.1016/0305-750x(89)90193-9.

    Article  Google Scholar 

  • Mensah-Homiah, J., Afram, S., Ohmeng-Dapaah, S., & Kim Huynh, U. (2011). Bonsaaso, Ghana: A Three-Year Review. Millennium Villages Project (pp. 1–33). New York: Columbia University.

  • Michelson, H., Muñiz, M., & DeRosa, K. (2013). Measuring socio-economic status in the millennium villages: the role of asset index choice. Journal of Development Studies, 49(7), 917–935. doi:10.1080/00220388.2013.785525.

    Article  Google Scholar 

  • Ministry of Food and Agriculture (2011). Brief on the oil palm sector in Ghana. Directorate of crop services. Accra, Ghana: Republic of Ghana.

  • Mintz-Habib, N. (2013). Malaysian biofuels industry experience: a socio-political analysis of the commercial environment. Energy Policy, 56, 88–100. doi:10.1016/j.enpol.2012.08.069.

    Article  Google Scholar 

  • Moursi, M. M., Arimond, M., Dewey, K. G., Treche, S., Ruel, M. T., & Delpeuch, F. (2008). Dietary diversity is a good predictor of the micronutrient density of the diet of 6-to 23-month-old children in Madagascar. Journal of Nutrition, 138(12), 2448–2453. doi:10.3945/jn.108.093971.

    CAS  PubMed  Article  Google Scholar 

  • Mueller, I., Vounatsou, P., Smith, T., & Allen, B. J. (2001). Subsistence agriculture and child growth in Papua New Guinea. Ecology of Food and Nutrition, 40(4), 367–395.

    Article  Google Scholar 

  • Negash, M., & Swinnen, J. F. M. (2013). Biofuels and food security: micro-evidence from Ethiopia. Energy Policy, 61, 963–976. doi:10.1016/j.enpol.2013.06.031.

    Article  Google Scholar 

  • Nord, M., Satpathy, A. K., Raj, N., Webb, P., & Houser, R. (2002). Comparing household survey-based measures of food insecurity across countries: Case studies in India, Uganda, and Bangladesh. Working Papers in Food Policy and Nutrition.

  • Pierre-Louis, J. N., Sanjur, D., Nesheim, M. C., Bowman, D. D., & Mohammed, H. O. (2007). Maternal income-generating activities, child care, and child nutrition in Mali. Food and Nutrition Bulletin, 28(1), 67–75.

    PubMed  Google Scholar 

  • Pitt, M. M., & Khandker, S. R. (2002). Credit programmes for the poor and seasonality in rural Bangladesh. Journal of Development Studies, 39(2), 1–24. doi:10.1080/00220380412331322731.

    Article  Google Scholar 

  • Pronyk, P. M., Muniz, M., Nemser, B., Somers, M. A., McClellan, L., Palm, C. A., et al. (2012). The effect of an integrated multisector model for achieving the millennium development goals and improving child survival in rural sub-Saharan Africa: a non-randomised controlled assessment. Lancet, 379(9832), 2179–2188. doi:10.1016/s0140-6736(12)60207-4.

    PubMed  Article  Google Scholar 

  • Sanchez, P., Palm, C., Sachs, J., Denning, G., Flor, R., Harawa, R., et al. (2007). The African millennium villages. Proceedings of the National Academy of Sciences, 104(43), 16775–16780. doi:10.1073/pnas.0700423104.

    CAS  Article  Google Scholar 

  • Sharma, K. R. (1999). Farm commercialization and nutritional status of children: the case of the vegetables, fruits, and cash crops programme in western Nepal. Food and Nutrition Bulletin, 20(4), 445–453.

    Google Scholar 

  • Shimbo, S., Kimura, K., Imai, Y., Yasumoto, M., Yamamoto, K., Kawamura, S., et al. (1994). Number of food items as an indicator of nutrient intake. Ecology of Food and Nutrition, 32(3–4), 197–206.

    Article  Google Scholar 

  • Skoufias, E. (2003). The calorie-income elasticity sensitive to price changes? Evidence from Indonesia. World Development, 31(7), 1291–1307. doi:10.1016/s0305-750x(03)00070-6.

    Article  Google Scholar 

  • StataCorp. (2013). Stata statistical software: Release 13. College Station: StataCorp LP.

    Google Scholar 

  • Steyn, N. P., Nel, J. H., Nantel, G., Kennedy, G., & Labadarios, D. (2006). Food variety and dietary diversity scores in children: are they good indicators of dietary adequacy? Public Health Nutrition, 9(5), 644–650. doi:10.1079/phn2005912.

    CAS  PubMed  Article  Google Scholar 

  • Sustainable Engineering Lab (2014). Millennium Village Cluster in Bonsaaso, Ghana. Millennium Villages Project. New York, NY: The Earth Institute, Columbia University.

  • Swindale, A., & Bilinsky, P. (2006). Household Dietary Diversity Score (HDDS) for measurement of household food access: Indicator guide. Food and Nutrition Technical Assistance Project, Washington.

  • Terry, A., & Ryder, M. (2005). Coping with change: the transition from subsistence oriented rain-fed agriculture to commercial irrigated agriculture. Geography, 90(2), 138–150.

    Google Scholar 

  • Terry, A., & Ryder, M. (2007). Improving food security in Swaziland: the transition from subsistence to communally managed cash cropping. Natural Resources Forum, 31(4), 263–272.

    Article  Google Scholar 

  • Tripp, R. (1982). Cash cropping, nutrition and choice of technology in rural development. Mexico: Centro Internacional de Mejoramiento de Maiz y Trigo.

    Google Scholar 

  • UN WFP. (2009). Comprehensive food security and vulnerability analysis guidelines (Firstth ed.). Rome: United Nations World Food Programme.

    Google Scholar 

  • UNICEF (1990). Tracking progress on child and maternal nutrition. A UNICEF policy review. UNICEF.

  • Vargas, S., & Penny, M. E. (2010). Measuring food insecurity and hunger in Peru: a qualitative and quantitative analysis of an adapted version of the USDA’s Food Insecurity and Hunger Module. Public Health Nutrition, 13(10), 1488–1497.

    PubMed  Article  Google Scholar 

  • Von Braun, J. (1995). Agricultural commercialization: impacts on income and nutrition and implications for policy. Food Policy, 20(3), 187–202. doi:10.1016/0306-9192(95)00013-5.

    Article  Google Scholar 

  • Von Braun, J., & Kennedy, E. (1986). Commercialization of subsistence agriculture: Income and nutritional effects in developing countries: International Food Policy Research Institute Washington^ eD. CDC.

  • WHO. (2005). WHO Anthro 2005 software and macros. Geneva: World Health Organization.

    Google Scholar 

  • Wood, B., Nelson, C. H., Kilic, T., & Murray, S. (2012). Up in smoke?: Agricultural Commercialization, Rising Food Prices and Stunting in Malawi. In 2012 Conference, August 18–24, 2012, Foz do Iguacu, Brazil, 2012 (Vol. 131261): International Association of Agricultural Economists.

  • World Bank (2014). Age dependency ratio (% of working-age population). The World Bank, World Development Indicators. Washington DC.

  • Zeller, M., & Sharma, M. (2000). Many borrow, more save, and all insure: implications for food and micro-finance policy. Food Policy, 25(2), 143–167. doi:10.1016/S0306-9192(99)00065-2.

    Article  Google Scholar 

  • Zeller, M., Schrieder, G., Von Braun, J., & Heidhues, F. (1997). Rural finance for food security of the poor: Implications for research and policy. Food Policy Review (Vol. 4). Washington, DC.: International Food Policy Research Institute (IFPRI).

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Acknowledgments

The authors would like to thank Christina Feng for her contribution to the qualitative study, and Cheryl Palm, Hope Michelson, Stephanie Pfirman, Hervé Bisseleua, Dallas Abbot, Timothy Michael Harris, and Satyajit Bose for their helpful comments.

Conflict of interest

The authors declare that they have no conflict of interest.

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Correspondence to Tal Lee Anderman.

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Figure S1

Overview of the MVP agricultural initiatives taking place in the Bonsaaso cluster at the time quantitative surveys were administered for this study (Phase 1), as well as some in the process of being rolled out (Phase 2) (JPEG 98 kb)

Table S1

Eleven food insecurity and coping strategy questions used to derive a Food Coping Score for households in the Millennium Village of Bonsaaso in Ghana. The methodology followed Coates et al. (2007) (GIF 147 kb)

High resolution image (TIFF 183 kb)

Table S2

Twenty-one asset indicators providing a metric of wealth for the study. Reported ownership of each indicator is used to derive an asset index through a principal component analysis for households in the Millennium Village of Bonsaaso in Ghana. The methodology followed Michelson et al. (2013) and Filmer and Pritchett (2001) (TIFF 80 kb) (GIF 69 kb)

High resolution image (TIFF 80 kb)

Table S3

Variance inflation factors of the linear regressions for predictor indicators of cash crop agricultural intensity (quantity “Quantity” and the percent of a farmer’s total land for cash cropping “% Area”) and response variables for the three dimensions of food security (food availability, access, and utilization). Reports mean variance inflation factor per regression model (GIF 60 kb)

High resolution image (TIFF 71 kb)

Table S4

Multiple regressions between cash crop agriculture (quantity and the percent of a farmer’s total land for cash crop production) and the frequency of consuming each of thirteen food groups included in the diet diversity score. Indicators for household demographics and wealth were included as controls. Each column is a separate regression model. Column headings indicate response variables, while row labels delineate predictor variables. Each response variable was run once with a predictor variable for quantity and percent area of household-level cash cropping, respectively. Models were run with and without outliers (defined as quantities of oil palm fruit and/or cacao beans outside 1.5 × interquartile range) and were found to be robust; outliers were subsequently removed. Continuous predictor variables were standardized by their mean and two standard deviations. Binary predictor variables were centered. Response variables were left unstandardized. This standardization procedure was used to ensure that variables were expressed in common units so that correlation coefficients within each model could be compared. Standard error reported in parentheses (GIF 199 kb)

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Anderman, T.L., Remans, R., Wood, S.A. et al. Synergies and tradeoffs between cash crop production and food security: a case study in rural Ghana. Food Sec. 6, 541–554 (2014). https://doi.org/10.1007/s12571-014-0360-6

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Keywords

  • Food security
  • Nutrition
  • Agriculture
  • Cash crop
  • Cacao
  • Oil palm
  • Ghana