Skip to main content

Advertisement

Log in

Farm diversification and food and nutrition security in Bangladesh: empirical evidence from nationally representative household panel data

  • Original Paper
  • Published:
Food Security Aims and scope Submit manuscript

Abstract

Existing literature suggests that farm production diversification has the potential to influence the diet diversity of farmers, but that the magnitude of the association is likely to vary by context and the underlying causal mechanisms are not well understood. This study analyzed the nexus between farm diversification and diet diversity using two round of nationally representative panel data from the Bangladesh Integrated Household Survey (BIHS), collected in 2011/12 and 2015. We used several indicators of dietary diversity including the Household Dietary Diversity Score (HDDS), Women’s Dietary Diversity Score (WDDS), and the Food Variety Score (FVS). To measure farm diversification we used the total number of crop, vegetable and fruit species, the number of food crop species only, and the Margalef species richness index. We found robust evidence for a positive association between farm diversification and diet diversity, even when controlling for unobserved heterogeneity across households using the conditional fixed effect Poisson model in order to take advantage of the panel structure of the data. The magnitude of the estimated effect was small. Analysis of other factors indicates that market access, commercialization of farms, diversification of income towards off farm sources and women’s empowerment also have positive and significant effects on household dietary diversity. These findings suggest that it may be necessary to couple efforts to increase farm diversity, market access, farm commercialization and income diversification with women’s empowerment in order to improve dietary diversity in Bangladesh. Further research is needed to better understand these complex relationships including their ultimate associations with nutritional status.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. All the households who produce any food item even in their home/kitchen garden are included in the sample since home/kitchen gardens play an important role in consumption and nutrition in Bangladesh (Schreinemachers et al. 2015, 2016)

  2. FE models also ameliorate the potential violation of the stable unit treatment value assumption (SUTVA) (Muriithi and Matz 2015).

  3. To save space, results are not reported here but are available upon request.

  4. Including obesity because increase in diversified food consumption may lead to negative effects if it is concentrated in households that already consume a large amount of calories (Pellegrini and Tasciotti 2014).

References

  • Abdulai, A., & CroleRees, A. (2001). Determinants of income diversification amongst rural households in Southern Mali. Food Policy, 26(4), 437–452.

    Article  Google Scholar 

  • ADB (2013). Gender equality and food security—women’s empowerment as a tool against hunger. Mandaluyong City: Asian Development Bank.

  • Ahmed, R. (2004). Rice economy of Bangladesh: progress and prospects. Economic and Political Weekly, 39, 4043–4052.

    Google Scholar 

  • Ahmed, T., Mahfuz, M., Ireen, S., Ahmed, A. S., Rahman, S., Islam, M. M., Alam, N., Hossain, M. I., Rahman, S. M. M., Ali, M. M., Choudhury, F. P., & Cravioto, A. (2012). Nutrition of children and women in Bangladesh: trends and directions for the future. Journal of Health, Population, and Nutrition, 30(1), 1.

    PubMed  PubMed Central  Google Scholar 

  • Ahmed, A. U., Ahmad, K., Chou, V., Hernandez, R., Menon, P., Naeem, F., Naher, F., Quabili, W., Sraboni, E., Yu, B., & Hassan, Z. (2013). The status of food security in the feed the future zone and other regions of Bangladesh: Results from the 2011–2012 Bangladesh integrated household survey, Project report submitted to the US Agency for International Development. Dhaka: International Food Policy Research Institute.

    Google Scholar 

  • Arimond, M., & Ruel, M. T. (2004). Dietary diversity is associated with child nutritional status: evidence from 11 demographic and health surveys. The Journal of Nutrition, 134(10), 2579–2585.

    Article  PubMed  CAS  Google Scholar 

  • Arimond, M., Wiesmann, D., Becquey, E., Carriquiry, A., Daniels, M. C., Deitchler, M., … & Torheim, L. E. (2010). Simple food group diversity indicators predict micronutrient adequacy of women’s diets in 5 diverse, resource-poor settings. The Journal of Nutrition, 140(11), 2059S–2069S.

  • Babu, S. C., & Mthindi, G. B. (1994). Household food security and nutrition monitoring: the Malawi approach to development planning and policy interventions. Food Policy, 19(3), 272–284.

    Article  Google Scholar 

  • Baltagi, B. H., & Song, S. H. (2006). Unbalanced panel data: a survey. Statistical Papers, 47(4), 493–523.

    Article  Google Scholar 

  • Bamji, M. S. (2007). Nutrition-secure India–how do we get there? Nutrition conclave discusses the way forward. Current Science, 93, 1473–1475.

    Google Scholar 

  • BBS. (Bangladesh Bureau of Statistics). (2010). Statistical year book of Bangladesh. Dhaka: Statistics Division, Ministry of Planning, Government of the People’s Republic of Bangladesh.

    Google Scholar 

  • Bell, A. R., Bryan, E., Ringler, C., & Ahmed, A. (2015). Rice productivity in Bangladesh: what are the benefits of irrigation? Land Use Policy, 48, 1–12.

    Article  CAS  Google Scholar 

  • Belton, B., van Asseldonk, I. J. M., & Thilsted, S. H. (2014). Faltering fisheries and ascendant aquaculture: implications for food and nutrition security in Bangladesh. Food Policy, 44, 77–87.

    Article  Google Scholar 

  • Benjamin, D. (1992). Household composition, labor markets, and labor demand: testing for separation in agricultural household models. Econometrica: Journal of the Econometric Society, 60(2), 287–322.

    Article  Google Scholar 

  • BER. (2016). Bangladesh economic review. Dhaka: Ministry of Finance, Government of the people’s Republic of Bangladesh.

    Google Scholar 

  • Bhagowalia, P., Kadiyala, S., & Headey, D. (2012). Agriculture, income and nutrition linkages in India: Insights from a nationally representative survey, IFPRI discussion paper 01195. Washington DC: The International Food Policy Research Institute.

    Google Scholar 

  • Bhuiyan, N. I., Paul, D. N. R., & Jabber, M. A. (2002). Feeding the extra millions. In Proceedings of the BRRI-DAE workshop on experiences of HYV rice production in Bangladesh, Bangladesh Rice Research Institute, Gazipur-1701.

  • Burlingame, B., & Dernini, S. (2012). Sustainable diets and biodiversity: directions and solutions for policy, research and action. International scientific symposium, biodiversity and sustainable diets united against hunger, FAO Headquarters, Rome, Italy, 3–5 November 2010. In Sustainable diets and biodiversity: Directions and solutions for policy, research and action. International scientific symposium, biodiversity and sustainable diets united against hunger, FAO Headquarters, Rome, Italy, 3–5 November 2010. Food and Agriculture Organization of the United Nations (FAO).

  • Cameron, A. C., & Trivedi, P. K. (1998). Regression analysis of count data. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Carletto, C., Zezza, A., & Banerjee, R. (2013). Towards better measurement of household food security: harmonizing indicators and the role of household surveys. Global Food Security, 2(1), 30–40.

    Article  Google Scholar 

  • Carletto, C., Corral, P., & Guelfi, A. (2017). Agricultural commercialization and nutrition revisited: empirical evidence from three African countries. Food Policy, 67, 106–118.

    Article  PubMed  PubMed Central  Google Scholar 

  • Crost, B., Shankar, B., Bennett, R., & Morse, S. (2007). Bias from farmer self-selection in genetically modified crop productivity estimates: evidence from Indian data. Journal of Agricultural Economics, 58(1), 24–36.

    Article  Google Scholar 

  • Cunningham, K., Ruel, M., Ferguson, E., & Uauy, R. (2015). Women's empowerment and child nutritional status in South Asia: a synthesis of the literature. Maternal & Child Nutrition, 11(1), 1–19.

    Article  Google Scholar 

  • Di Falco, S., & Chavas, J. P. (2009). On crop biodiversity, risk exposure, and food security in the highlands of Ethiopia. American Journal of Agricultural Economics, 91(3), 599–611.

    Article  Google Scholar 

  • Dillon, A., McGee, K., & Oseni, G. (2015). Agricultural production, dietary diversity and climate variability. The Journal of Development Studies, 51(8), 976–995.

    Article  Google Scholar 

  • FAO. (2013). Guidelines for measuring household and individual dietary diversity. Rome: Mimeo.

    Google Scholar 

  • FAO. (2014). The state of food and agriculture: Innovation in family farming. Rome: Food and Agriculture Organization of the United Nations.

    Google Scholar 

  • Forouzanfar, M. H., Afshin, A., Alexander, L. T., Anderson, H. R., Bhutta, Z. A., Biryukov, S., … & Cohen, A. J. (2016). Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the global burden of disease study 2015. The Lancet, 388(10053), 1659–1724.

  • Frison, E. A., Smith, I. F., Johns, T., Cherfas, J., & Eyzaguirre, P. B. (2006). Agricultural biodiversity, nutrition, and health: making a difference to hunger and nutrition in the developing world. Food and Nutrition Bulletin, 27(2), 167–179.

    Article  PubMed  Google Scholar 

  • Gillespie, S., Harris, J., & Kadiyala, S. (2012). The agriculture-nutrition disconnect in India: What do we know? IFPRI discussion paper 01187. Washington, DC: International Food Policy Research Institute.

    Google Scholar 

  • Graham, R. D., Welch, R. M., Saunders, D. A., Ortiz-Monasterio, I., Bouis, H. E., Bonierbale, M., & Meisner, C. A. (2007). Nutritious subsistence food systems. Advances in Agronomy, 92, 1–74.

    Article  CAS  Google Scholar 

  • Greene, W. H. (2012). Econometric analysis (7th ed.). Upper Saddle River: Prentice Hall.

    Google Scholar 

  • Haddad, L. (2013). From nutrition plus to nutrition driven: how to realize the elusive potential of agriculture for nutrition? Food and Nutrition Bulletin, 34(1), 39–44.

    Article  PubMed  Google Scholar 

  • Hatloy, A., Torheim, L., & 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, 891–898.

    Article  PubMed  CAS  Google Scholar 

  • Hatloy, A., Hallund, J., Diarra, M. M., & Oshaug, A. (2000). Food variety, socioeconomic status and nutritional status in urban and rural areas in Koutiala (Mali). Public Health Nutrition, 3(1), 57–65.

    Article  PubMed  CAS  Google Scholar 

  • Hawksworth, D. L. (Ed.). (1995). Biodiversity: Measurement and estimation (Vol. 345). New York: Springer Science & Business Media.

    Google Scholar 

  • Herforth, A. (2010). Promotion of traditional African vegetables in Kenya and Tanzania: A case study of an intervention representing emerging imperatives in global nutrition. Ithaca: Cornell University.

    Google Scholar 

  • Herforth, A., & Harris, J. (2014). Understanding and applying primary pathways and principles. Improving Nutrition through Agriculture.

  • Hirvonen, K., & Hoddinott, J. (2017). Agricultural production and children's diets: evidence from rural Ethiopia. Agricultural Economics, 48(4), 469–480.

    Article  Google Scholar 

  • Hoddinott, J., & Yohannes, Y. (2002). Dietary diversity as a food security indicator. Food consumption and nutrition division discussion paper, 136.

  • Hoddinott, J., Headey, D., & Dereje, M. (2015). Cows, missing milk markets and nutrition in rural Ethiopia. Journal of Development Studies, 51(8), 958–975.

    Article  Google Scholar 

  • Hossain, M., Naher, F., & Shahabuddin, Q. (2005). Food security and nutrition in Bangladesh: progress and determinants. Electronic Journal of Agricultural and Development Economics, 2(2), 103–132.

    Google Scholar 

  • Jodlowski, M., Winter-Nelson, A., Baylis, K., & Goldsmith, P. D. (2016). Milk in the data: food security impacts from a livestock field experiment in Zambia. World Development, 77, 99–114.

    Article  Google Scholar 

  • Jones, A. D. (2017). Critical review of the emerging research evidence on agricultural biodiversity, diet diversity, and nutritional status in low-and middle-income countries. Nutrition Reviews, 75(10), 769–782.

    Article  PubMed  PubMed Central  Google Scholar 

  • Jones, A. D., Shrinivas, A., & Bezner-Kerr, R. (2014). Farm production diversity is associated with greater household dietary diversity in Malawi: findings from nationally representative data. Food Policy, 46, 1–12.

    Article  Google Scholar 

  • Jorgenson, A., & Birkholz, R. (2010). Assessing the causes of anthropogenic methane emissions in comparative perspective, 1990–2005. Ecological Economics, 69(12), 2634–2643.

    Article  Google Scholar 

  • Kadiyala, S., Harris, J., Headey, D., Yosef, S., & Gillespie, S. (2014). Agriculture and nutrition in India: mapping evidence to pathways. Annals of the New York Academy of Sciences, 1331(1), 43–56.

    Article  PubMed  Google Scholar 

  • Kant, A. K. (2004). Dietary patterns and health outcomes. Journal of the American Dietetic Association, 104(4), 615–635.

    Article  PubMed  Google Scholar 

  • Kant, A. K., Schatzkin, A., Harris, T. B., Ziegler, R. G., & Block, G. (1993). Dietary diversity and subsequent mortality in the first national health and nutrition examination survey epidemiologic follow-up study. The American Journal of Clinical Nutrition, 57(3), 434–440.

    Article  PubMed  CAS  Google Scholar 

  • Kanter, R., Walls, H. L., Tak, M., Roberts, F., & Waage, J. (2015). A conceptual framework for understanding the impacts of agriculture and food system policies on nutrition and health. Food Security, 7(4), 767–777.

    Article  Google Scholar 

  • Kathage, J., & Qaim, M. (2012). Economic impacts and impact dynamics of Bt (Bacillus thuringiensis) cotton in India. Proceedings of the National Academy of Sciences, 109(29), 11652–11656.

    Article  Google Scholar 

  • Keding, G. B., Msuya, J. M., Maass, B. L., & Krawinkel, M. B. (2012). Relating dietary diversity and food variety scores to vegetable production and socio-economic status of women in rural Tanzania. Food Security, 4(1), 129–140.

    Article  Google Scholar 

  • Kennedy, G., Ballard, T., & Dop, M. C. (2013). Guidelines for measuring household and individual dietary diversity. Food and Agriculture Organization of the United Nations. Available at http://www.fao.org/docrep/014/i1983e/i1983e00.pdf.

  • Khoury, C. K., Bjorkman, A. D., Dempewolf, H., Ramirez-Villegas, J., Guarino, L., Jarvis, A., … & Struik, P. C. (2014). Increasing homogeneity in global food supplies and the implications for food security. Proceedings of the National Academy of Sciences, 111(11), 4001–4006.

  • Koppmair, S., Kassie, M., & Qaim, M. (2016). Farm production, market access and dietary diversity in Malawi. Public Health Nutrition, 20(2), 325–335.

    Article  PubMed  PubMed Central  Google Scholar 

  • Kouser, S., & Qaim, M. (2011). Impact of Bt cotton on pesticide poisoning in smallholder agriculture: a panel data analysis. Ecological Economics, 70(11), 2105–2113.

    Article  Google Scholar 

  • Kumar, N., Harris, J., & Rawat, R. (2015). If they grow it, will they eat and grow? Evidence from Zambia on agricultural diversity and child undernutrition. The Journal of Development Studies, 51(8), 1060–1077.

    Article  Google Scholar 

  • Malapit, H. J. L., & Quisumbing, A. R. (2015). What dimensions of women’s empowerment in agriculture matter for nutrition in Ghana? Food Policy, 52, 54–63.

    Article  Google Scholar 

  • Malapit, H. J. L., Kadiyala, S., Quisumbing, A. R., Cunningham, K., & Tyagi, P. (2015). Women’s empowerment mitigates the negative effects of low production diversity on maternal and child nutrition in Nepal. The Journal of Development Studies, 51(8), 1097–1123.

    Article  Google Scholar 

  • Meeker, J., & Haddad, L. (2013). A state of the art review of agriculture-nutrition linkages. Institute of development studies report.

  • Minten, B., Murshid, K. A. S., & Reardon, T. (2013). Food quality changes and implications: evidence from the rice value chain of Bangladesh. World Development, 42, 100–113.

    Article  Google Scholar 

  • Mottaleb, K. A., Rahut, D. B., & Kruseman, G. (2017). Wheat production and consumption dynamics in an Asian rice economy: the Bangladesh case. The European Journal of Development Research. https://doi.org/10.1057/s41287-017-0096-1.

  • Moursi, M. M., Arimond, M., Dewey, K. G., Trèche, 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. The Journal of Nutrition, 138(12), 2448–2453.

    Article  PubMed  CAS  Google Scholar 

  • Muriithi, B. W., & Matz, J. A. (2015). Welfare effects of vegetable commercialization: evidence from smallholder producers in Kenya. Food Policy, 50, 80–91.

    Article  Google Scholar 

  • Olney, D. K., Talukder, A., Iannotti, L. L., Ruel, M. T., & Quinn, V. (2009). Assessing impact and impact pathways of a homestead food production program on household and child nutrition in Cambodia. Food and Nutrition Bulletin, 30(4), 355–369.

    Article  PubMed  Google Scholar 

  • Osmani, S. R., Ahmed, A., Ahmed, T., Hossain, N., Huq, S., & Shahan, A. (2016). Strategic review of food security and nutrition in Bangladesh. An independent review commissioned by the World Food Programme (WFP). Dhaka: WFP.

    Google Scholar 

  • Pellegrini, L., & Tasciotti, L. (2014). Crop diversification, dietary diversity and agricultural income: empirical evidence from eight developing countries. Canadian Journal of Development Studies/Revue canadienne d'études du développement, 35(2), 211–227.

    Article  Google Scholar 

  • Powell, B., Haraksingh Thilstead, S., Ickowitz, A., Termote, C., Sunderland, T., & Herforth, A. (2015). Improving diets with wild and cultivated bioversity from across the landscape. Food Security, 7, 535–554.

    Article  Google Scholar 

  • Rah, J. H., Akhter, N., Semba, R. D., De Pee, S., Bloem, M. W., Campbell, A. A., … & Kraemer, K. (2010). Low dietary diversity is a predictor of child stunting in rural Bangladesh. European Journal of Clinical Nutrition, 64(12), 1393–1398.

  • Rahman, S. (2009). Whether crop diversification is a desired strategy for agricultural growth in Bangladesh? Food Policy, 34(4), 340–349.

    Article  Google Scholar 

  • Rahman, S. (2010). Women’s labour contribution to productivity and efficiency in agriculture: empirical evidence from Bangladesh. Journal of Agricultural Economics, 61(2), 318–342.

    Article  Google Scholar 

  • Rahman, S., & Salim, R. (2013). Six decades of total factor productivity change and sources of growth in Bangladesh agriculture (1948–2008). Journal of Agricultural Economics, 64(2), 275–294.

    Article  Google Scholar 

  • Rashid, D. A., Smith, L. C., & Rahman, T. (2011). Determinants of dietary quality: evidence from Bangladesh. World Development, 39(12), 2221–2231.

    Article  Google Scholar 

  • Remans, R., Flynn, D. F., DeClerck, F., Diru, W., Fanzo, J., Gaynor, K., Lambrecht, I., Mudiope, J., Mutuo, P. K., Nkhoma, P., & Siriri, D. (2011). Assessing nutritional diversity of cropping systems in African villages. PLoS One, 6(6), e21235.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Romeo, A., Meerman, J., Demeke, M., Scognamillo, A., & Asfaw, S. (2016). Linking farm diversification to household diet diversification: evidence from a sample of Kenyan ultra-poor farmers. Food Security, 8(6), 1069–1085.

    Article  Google Scholar 

  • Rose, D., Meershoek, S., Ismael, C., & McEwan, M. (2002). Evaluation of a rapid field tool for assessing household diet quality in Mozambique. Food and Nutrition Bulletin, 23(2), 181–189.

    Article  PubMed  Google Scholar 

  • Ruel, M. T. (2003). Operationalizing dietary diversity: a review of measurement issues and research priorities. The Journal of Nutrition, 133(11), 3911S–3926S.

    Article  PubMed  CAS  Google Scholar 

  • Ruel, M. T., & Menon, P. (2002). Child feeding practices are associated with child nutritional status in Latin America: innovative uses of the demographic and health surveys. The Journal of Nutrition, 132(6), 1180–1187.

    Article  PubMed  CAS  Google Scholar 

  • Ruel, M., Alderman, H., & Maternal, Child Nutrition Study Group. (2013a). Nutrition-sensitive interventions and programmes: how can they help to accelerate progress in improving maternal and child nutrition. The Lancet, 382(9891), 536–551.

    Article  Google Scholar 

  • Ruel, M. T., Harris, J., & Cunningham, K. (2013b). Diet quality in developing countries. In V. R. Preedy, L. Hunter, & V. Patel (Eds.), Diet quality (pp. 239–261). New York: Springer.

    Chapter  Google Scholar 

  • Ruel, M. T., Harris, J. E., & Cunningham, K. (2014). Measuring dietary quality in developing countries: A review of the usefulness of individual dietary diversity indicators. In V. R. Preedy (Ed.), Diet quality: An evidence-based approach (pp. 239–261). New York: Springer.

    Google Scholar 

  • Schreinemachers, P., Patalagsa, M. A., Islam, M. R., Uddin, M. N., Ahmad, S., Biswas, S. C., Ahmed, M. T., Yang, R. Y., Hanson, P., Begum, S., & Takagi, C. (2015). The effect of women’s home gardens on vegetable production and consumption in Bangladesh. Food Security, 7(1), 97–107.

    Article  Google Scholar 

  • Schreinemachers, P., Patalagsa, M. A., & Uddin, N. (2016). Impact and cost-effectiveness of women's training in home gardening and nutrition in Bangladesh. Journal of Development Effectiveness, 8(4), 473–488.

    Article  Google Scholar 

  • Seymour, G. (2017). Women's empowerment in agriculture: implications for technical efficiency in rural Bangladesh. Agricultural Economics, 48(4), 513–522.

    Article  Google Scholar 

  • Shively, G., & Sununtnasuk, C. (2015). Agricultural diversity and child stunting in Nepal. The Journal of Development Studies, 51(8), 1078–1096.

    Article  Google Scholar 

  • Sibhatu, K. T., Krishna, V. V., & Qaim, M. (2015). Production diversity and dietary diversity in smallholder farm households. Proceedings of the National Academy of Sciences, 112(34), 10657–10662.

    Article  CAS  Google Scholar 

  • Smale, M., Hartell, J., Heisey, P. W., & Senauer, B. (1998). The contribution of genetic resources and diversity to wheat production in the Punjab of Pakistan. American Journal of Agricultural Economics, 80(3), 482–493.

    Article  Google Scholar 

  • Snapp, S. S., & Fisher, M. (2015). “Filling the maize basket” supports crop diversity and quality of household diet in Malawi. Food Security, 7(1), 83–96.

    Article  Google Scholar 

  • Sraboni, E., Malapit, H. J., Quisumbing, A. R., & Ahmed, A. U. (2014). Women’s empowerment in agriculture: what role for food security in Bangladesh? World Development, 61, 11–52.

    Article  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.

    Article  PubMed  CAS  Google Scholar 

  • Swindale, A., & Bilinsky, P. (2006). Household dietary diversity score (HDDS) for measurement of household food access: indicator guide. Washington, DC: Food and Nutrition Technical Assistance Project, Academy for Educational Development.

    Google Scholar 

  • Tarini, A., Bakari, S., & Delisle, H. (1999). The overall nutritional quality of the diet is reflected in the growth of Nigerian children. Santé (Montrouge, France), 9(1), 23–31.

    CAS  Google Scholar 

  • Taylor, J. E., & Adelman, I. (2003). Agricultural household models: genesis, evolution, and extensions. Review of Economics of the Household, 1(1), 33–58.

    Article  Google Scholar 

  • Thorne-Lyman, A. L., Valpiani, N., Sun, K., Semba, R. D., Klotz, C. L., Kraemer, K., … & Bloem, M. W. (2009). Household dietary diversity and food expenditures are closely linked in Rural Bangladesh, increasing the risk of malnutrition due to the financial crisis. The Journal of Nutrition, 140(1), 182S–188S.

  • United States Department of Agriculture (USDA). (2010). Bangladesh grain and feed annual, 2010. Washington, DC: USDA.

    Google Scholar 

  • Villa, K. M., Barrett, C. B., & Just, D. R. (2011). Whose fast and whose feast? Intrahousehold asymmetries in dietary diversity response among East African pastoralists. American Journal of Agricultural Economics, 93(4), 1062–1081.

    Article  Google Scholar 

  • Von Braun, J. (1995). Agricultural commercialization: impacts on income and nutrition and implications for policy. Food Policy, 20(3), 187–202.

    Article  Google Scholar 

  • Webb, P. (2013). Impact pathways from agricultural research to improved nutrition and health: Literature analysis and research priorities. Rome: Food and Agriculture Organization.

    Google Scholar 

  • World Bank. (2007). From agriculture to nutrition: Path- ways, synergies and outcomes. Washington, DC: World Bank.

    Book  Google Scholar 

  • Yosef, S., Jones, A. D., Chakraborty, B., & Gillespie, S. (2015). Agriculture and nutrition in Bangladesh: mapping evidence to pathways. Food and Nutrition Bulletin, 36(4), 387–404.

    Article  PubMed  Google Scholar 

  • Zezza, A., & Tasciotti, L. (2010). Urban agriculture, poverty, and food security: empirical evidence from a sample of developing countries. Food Policy, 35(4), 265–273.

    Article  Google Scholar 

Download references

Acknowledgements

The IFPRI- BIHS two round panel survey data sets leading to these results has received funding from the United States Agency for International Development (USAID) Policy Research and Strategy Support Program (PRSSP). We acknowledge funding for this work received through the Innovative Methods and Metrics for Agriculture and Nutrition Actions (IMMANA) fellowship funded by UK Aid. We want to thank Tauseef Salauddin of IFPRI and Md. Sazzadur Rahman Sarker for their help with the BIHS panel data sets. We thank Prof. Dr. Will Masters, Dr. Andrew Jones, Dr. Suneetha Kadiyala and Prof. Patrick Webb as well as the conference participants at the ANH academy week in Nepal for useful comments. The views and opinions expressed in this paper are those of the authors and do not necessarily reflect those of the donor or the authors’ institution.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Abu Hayat Md. Saiful Islam.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Annex A

Annex A

Table 6 Robustness of the results with other confounding factors
Table 7 Robustness of the results in two way fixed effect estimation
Table 8 Robustness of the results with alternative measure of household dietary diversity
Table 9 Table 8 Robustness of the results with household food variety score: an alternative measure of household dietary diversity
Table 10 Robustness of the results with alternative measure of farm diversification: Margalef species richness index
Table 11 Robustness of the results with alternative measure of farm diversification: Food crop production diversity

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Islam, A.H.M.S., von Braun, J., Thorne-Lyman, A.L. et al. Farm diversification and food and nutrition security in Bangladesh: empirical evidence from nationally representative household panel data. Food Sec. 10, 701–720 (2018). https://doi.org/10.1007/s12571-018-0806-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12571-018-0806-3

Keywords

JEL Classification

Navigation