Santeramo, Fabio Gaetano and Shabnam, Nadia (2015): The income-elasticity of calories, macro and micro nutrients: What is the literature telling us? Forthcoming in:
Preview |
PDF
MPRA_paper_63754.pdf Download (207kB) | Preview |
Abstract
Food security and nutrition have become central to the policy agendas of governmental and non-governmental organizations due to their consequences on health and economic development. Changes in consumption patterns in response to price and income changes could impact on nutrient intake with related positive or negative consequences. This article aims to systematically review the elasticity of calories, macronutrients and micronutrients to income in developing and developed countries. We consider a large set of estimates on income elasticity for calories, protein, fat, zinc, iron and vitamin A. This is one of the few reviews that examines the estimates for income elasticity of calories, micronutrients, and micronutrients on a comparative basis. Moreover, we investigate the determinants of the heterogeneity in estimates by means of a rigorous and popular approach of meta-analysis. We found a substantial publication bias, and, in particular, we found that the quality of data is very important as it is able to influence estimates.
Item Type: | MPRA Paper |
---|---|
Original Title: | The income-elasticity of calories, macro and micro nutrients: What is the literature telling us? |
Language: | English |
Keywords: | Calorie; Food Security; Income Elasticity; Meta-Analysis; Nutrient |
Subjects: | O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development > O13 - Agriculture ; Natural Resources ; Energy ; Environment ; Other Primary Products Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q1 - Agriculture Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q1 - Agriculture > Q18 - Agricultural Policy ; Food Policy |
Item ID: | 63754 |
Depositing User: | Prof. Fabio Gaetano Santeramo |
Date Deposited: | 21 Apr 2015 16:17 |
Last Modified: | 26 Sep 2019 10:46 |
References: | 1. Abdulai, A., & Aubert D. (2004a). A cross-section analysis of household demand for food and nutrients in Tanzania. Agricultural Economics, 31, 67-79 2. Abdulai, A., & Aubert, D. (2004b). Nonparametric and parametric analysis of calorie consumption in Tanzania. Food Policy, 29, 113-129. 3. Akinleye, S. O., & Rahji, M. A. (2007). Nutrient elasticities among Nigerian households differentiated by income. Agrekon, 46(2), 274-288. 4. Aromolaran, A. B. (2004a). Intra-household redistribution of income and calorie consumption in south-western Nigeria. Yale University Economic Growth Center Discussion Paper 890. 5. Aromolaran, A. B. (2004b). Household income, women’s income share and food calorie intake in South Western Nigeria. Food Policy, 29, 507-530. 6. Behrman, J. R., & Deolalikar, A. B. (1987). Will developing country nutrition improve with income? A case study for rural South India. The Journal of Political Economy, 95, 492-507. 7. Behrman, J. R., & Wolfe, B. L. (1984). More evidence on nutrition demand: Income seems overrated and women's schooling underemphasized. Journal of development economics, 14, 105-128. 8. Bhutta, Z., Ahmed, T., Black, R., Cousens S., Dewey, K., Giugliani, E., Haider, B., Kirkwood, B., Morris, S., Sachdev, S., & Shekar, M. (2008). What works? Interventions for maternal and child undernutrition and survival. The lancet, 371, 417–40 9. Bouis, H. E. (1994). The effect of income on demand for food in poor countries: Are our food consumption databases giving us reliable estimates?. Journal of Development Economics, 44, 199-226. 10. Bouis, H. E., & Haddad, L. J. (1992). Are estimates of calorie-income fxelasticities too high?: A recalibration of the plausible range. Journal of Development Economics, 39(2), 333-364. 11. Bravo-Ureta, B. E., Solís, D., López, V. H. M., Maripani, J. F., Thiam, A., & Rivas, T. (2007). Technical efficiency in farming: a meta-regression analysis. Journal of Productivity Analysis, 27, 57-72. 12. Brigggs, D. M., Mytton, O. T., Madden, D., O’shea, D., Rayner, M., & Scarborough, P. (2013). The potential impact on obesity of a 10% tax on sugar-sweetened beverages in Ireland, and effect assessment modelling study. BMC Public Health, 13, 860 13. Cipollina, M., & Salvatici, L. (2010). Reciprocal Trade Agreements in Gravity Models: A Meta‐Analysis. Review of International Economics, 18, 63-80. 14. Claro, R. M., Levy, R. B., Popkin, B. M. & Monteiro, C. A. (2012). Sugar Sweetened Beverage Taxes in Brazil. American Journal of Public Health, 102, 178-183 15. Dalhuisen, J. M., Florax, R. J., de Groot, H. L., & Nijkamp, P. (2003). Price and income elasticities of residential water demand: a meta-analysis. Land Economics, 79, 292-308. 16. De Dominicis, L., Florax, R. J., & De Groot, H. L. (2008). A Meta-Analysis on the Relationship between Income Inequality and Economic Growth. Scottish Journal of Political Economy, 55, 654-682. 17. Deaton, A., & Drèze, J. (2010). From calorie fundamentalism to cereal accounting. Economic and Political Weekly, 45, 87-92. 18. Disdier, A. C., & Head, K. (2008). The puzzling persistence of the distance effect on bilateral trade. The Review of Economics and statistics, 90, 37-48. 19. Doucouliagos, C. (2005). Publication bias in the economic freedom and economic growth literature. Journal of Economic Surveys, 19, 367-387. 20. Ecker, O., & Qaim, M. (2011). Analyzing nutritional impacts of policies: an empirical study for Malawi. World Development, 39(3), 412-428. 21. Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. BMJ: British Medical Journal, 315, 629-634. 22. Espey, M. (1998). Gasoline demand revisited: an international meta-analysis of elasticities. Energy Economics, 20, 273-295. 23. Gallet, C. A. (2010). Meat meets meta: a quantitative review of the price elasticity of meat. American Journal of Agricultural Economics, 92(1), 258-272. 24. Gallet, C. A., & List, J. A. (2003). Cigarette demand: a meta‐analysis of elasticities. Health economics, 12, 821-835. 25. Gandhi, V. P., & Zhou, Z. (2014). Food demand and the food security challenge with rapid economic growth in the emerging economies of India and China. Food Research International, 63, 108–124 26. Gibson, J., & Rozelle, S. (2002). How Elastic is Calorie Demand? Parametric, Nonparametric, and Semiparametric Results for Urban Papua New Guinea. Journal of Development Studies, 38, 23-46. 27. Green, R., Comelsen, L., Dangour, A., Turner, R., Shankar, B., Mazzocchi, M. & Smith, R.D. (2013). The effect of rising food prices on food consumption: systematic review with meta-regression. BMJ: British Medical Journal, 346 28. Grimard, F. (1996). Does the poor's consumption of calories respond to changes in income? Evidence from Pakistan. The Pakistan Development Review, 257-283. 29. Havránek, T. (2010). Rose effect and the euro: is the magic gone?. Review of World Economics, 146, 241-261. 30. FAO, IFAD & WFP. (2013). The State of Food Insecurity in the World 2013. The multiple dimensions of food security. Rome: FAO. 31. Knell, M., & Stix, H. (2005). The Income Elasticity of Money Demand: A Meta‐Analysis of Empirical Results. Journal of Economic Surveys, 19, 513-533. 32. Li, Y., & Beghin, J. C. (2012). A meta-analysis of estimates of the impact of technical barriers to trade. Journal of Policy Modeling, 34, 497-511. 33. Machlis, G. E. (2015). China addresses food and environment security. Science, 347(6224), 836-836. 34. Martin-Fernandez, J., Caillavet, F., & Lhuissier, A. (2014). Food insecurity, a determinant of obesity - an analysis from a population-based survey in the Paris Metropolitan area. Obesity Facts, 7, 120-129 35. Miao, Z., Beghin, J.C. & Jensen, H.H. (2013). Accounting for product substitution in the analysis of food taxes targeting obesity. Health Economics, 22, 1318-1343 36. Ogundari, K., & Abdulai, A. (2013). Examining the heterogeneity in calorie–income elasticities: A meta-analysis. Food Policy, 40, 119-128. 37. Ruel, M. T. (2003). Operationalizing dietary diversity: a review of measurement issues and research priorities. The Journal of Nutrition, 133, 3926S-3926S 38. Ruel, M.T., & Alderman, H. (2013). Maternal and child nutrition 3. Nutrition-sensitive interventions and programmes: how can they help to accelerate progress in improving maternal and child nutrition?. The lancet, 382, 536-51 39. Santeramo, F. G. (2015a). On the composite indicators for food security: Decisions matter!. Food Reviews International. 31(1), 63-73 40. Santeramo, F. G. (2015b). Food Security Composite Indices: Implications for Policy and Practice. Development in Practice. In press. 41. Skoufias, E., Tiwari, S., & Zaman, H. (2012). Crises, food prices, and the income elasticity of micronutrients: estimates from Indonesia. The World Bank Economic Review, 26, 415-442. 42. Stanley, T. D. (2005). Beyond publication bias. Journal of Economic Surveys, 19, 309-345. 43. Subramanian, S., & Deaton, A. (1996). The demand for food and calories. Journal of political economy. 104, 133-162. 44. Totton, S. C., Farrar, A. M., Wilkins, W., Bucher, O., Waddell, L. A., Wilhelm, B. J., McEwn, S. A. & Rajić, A. (2012). A systematic review and meta-analysis of the effectiveness of biosecurity and vaccination in reducing Salmonella spp. in broiler chickens. Food Research International, 45(2), 617-627. 45. Tian, X., & Yu, X. (2012). The Enigmas of TFP in China: A meta-analysis. China Economic Review, 23, 396-414. 46. Victora, CG, Sdair,L. Fall, C., Hallal, PC., Martorell, R., Richter, L., Sachdev, H.S. (2008). Maternal and child nutrition 2. Maternal and child nutrition: consequences for adult health and human capital, The lancet, 371, 340-357 47. Vorster, H.H., Kruger, A., & Margetts, B.M. (2011). The nutrition transition in Africa: Can it be steered in a more positive direction?. Nutrients, 3, 429-441 48. Xavier, C., Gonzales-Barron, U., Paula, V., Estevinho, L., & Cadavez, V. (2014). Meta-analysis of the incidence of foodborne pathogens in Portuguese meats and their products. Food Research International, 55, 311-323. 49. Wals, A. E., Brody, M., Dillon, J., & Stevenson, R. B. (2014). Convergence between science and environmental education. Science, 344(6184), 583-584. 50. Zhou D., & Yu, X. (2015). Calorie Elasticities with Income Dynamics: Evidence from the Literature. Forthcoming in Applied Economic Perspective and Policy. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/63754 |