Gıda Güvencesizliği, Dış Borç Stoku ve İthalat İlişkisi: Kantil Regresyon Analizi

Dünyada farkındalığı artan gıda güvencesizliği az gelişmiş ve gelişmekte olan ülkeler için büyük önem arz etmektedir. Son yıllarda bu ülkeler gıda güvencesizliğini azaltma yönünde az da olsa ilerleme kaydetmiştir. Bu ülkelerin gıda ithalatı ve dış borç stoku aynı dönem içerisinde artış trendi içerisine girmiştir. Bu çalışmada uzun dönem dış borç stoku ve gıda ithalatının mal ithalatına oranının gıda güvencesizliğine etkisi 2000-2015 dönemi ve 50 yetersiz beslenme yaygınlığına sahip az gelişmiş ve gelişmekte olan ülke için Kantil Regresyon Yöntemi ile test edilmiştir. Kantil Regresyon Yöntemi ortalama tahmin yöntemlerinin aksine belirlenen kantiller yoluyla bağımlı değişkenin tüm dağılımını ele alarak tüm resmi ortaya çıkartmaktadır. Yapılan analiz sonucunda uzun dönem dış borç stoku ve gıda ithalatının mal ithalatına oranındaki artışın gıda güvencesizliğini genellikle daha gıda güvencesiz ülkelerde daha çok azalttığı ortaya çıkmıştır. Bu sonucun beklentilerle uyumlu olduğu düşünülmektedir.

The Relationship of the Between Food Insecurity, External Debt Stock and Import: Quantile Regression Analysis

In the world increasing awareness of food insecurity has been of great importance for underceveloped and developing countries. In recent years these countries have made little progress in reducing food insecurity. External debt stocks and food imports of these countries have been an upward trend during the same period. In this study impact of long term external debt and food imports to merchandise imports on food security was tested with Quantile Regression Method for period 2000-2015 and 50 underdeveloped and developing countries which have undernourishment prevalence. Quantile Regression Method reveals the whole picture by taking the entire distribution of the dependend variable though the determined quantiles contrary to the mean estimation methods. As a result of the analysis, it has been revealed that the increase in the long term external debt stock and food imports to merchandise imports reduced food insecurity in food insecure countries especially. This result is thought to be consistent with expectations.

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  • Abrevaya J. & Dahl C. M. (2008). The Effects of Birth İnputs on Birthweight: Evidence from Quantile Estimation on Panel Data. Journal of Business and Economic Statistics, 26(4), 379-397.
  • Aker, J. & Lemtouni, A. (1999). AFramework for Assessing Food Security in the Face of Globalization: The Case of Morocco. Agroalimentaria, 8, 13-26.
  • Attwell, W. (2013). When We Have Nothing We All Eat Grass: Debt, Donor Dependence and the Food Crisis in Malawi, 2001 to 2003. Journal of Contemporary African Studies, 31, 564-582.
  • Canay, I. A. (2011). A Simple Approach to Quantile Regression for Panel Data. Econometrics Journal, 14, 368-386.
  • CSFS (2015). The Five A's of Food Security. Centre for Studies in Food Security, Ryerson University, Erişim Tarihi: 23.9.2016, http://www.ryerson.ca/foodsecurity/our-approach.
  • D’souza, A. & Jolliffe, D. (2012). Food Security and Wheat Prices in Afghanistan: A Distribution-Sensitive Analysis of Household-Level Impacts, Policy Research Working Paper, The World Bank South Asia Region Economic Policy and Poverty Sector, Washington DC, 6024,1-46.
  • Emeagwali, G. T. (1988). Development Alternatives with Women: Food and Debt Crises. Review of African Political Economy, 15, 94.
  • FAO (2016). Food Security Indicators. http://www.fao.org/economic/ess/ess-fs/ess-fadata/en/#.V-u48iiLTIU, (28.9.2016).
  • Galvao, A. (2008). Quantile Regression for Dynamic Panel Data with Fixed Effects. Journal of Econometrics, 164(1), 142-157.
  • Geraci, M. & Bottai, M. (2007). Quantile Regression for Longitudinal Data Using the Asymmetric Laplace Distribution. Biostatistics, 8(1), 140-54.
  • IMF (2014). World Economic Outlook (WEO) List of Tables, October, 25-31.
  • Kirby, R.& Capps, O. Jr. (1994). Impact of Consumer Installment Debt on Food Expenditures. The Journal of Consumer Affairs, 28, 81-95.
  • Koenker, R. & Bassett, Jr. G. (1978). Regression Quantiles. Econometrica, 46, 33-50.
  • Koenker, R. (2004). Quantile Regression for Longitudinal Data. Journal of Multivariate Analysis, 91(1), 74-89.
  • Lamarche, C. (2010). Robust Penalized Quantile Regression Estimation for Panel Data. Journal of Econometrics, 157, 396-408.
  • Machado, J.A.F., Parente, P.M.D.C & Santos Silva, J.M.C. (2011). QREG2: Stata Module to Perform Quantile Regression with Robust and Clustered Standard Errors. Statistical Software Components S457369, Boston College Department of Economics.
  • Mohamed, Hoda Abd El H. A. (2014). The Impact of Food Price Crisis on Government Debt in the Arab Region. Procedia Economics and Finance, 14, 253-262.
  • Parente, P.M.D.C & Santos Silva, J.M.C. (2016). Quantile Regression with Clustered Data. Journal of Econometric Methods, 5, 1-15.
  • Powell, D. (2015). Quantile Regression with Nonadditive Fixed Effects. Unpublished Paper. Rand Corporation, April.
  • Powell, D. (2016). Quantile Treatment Effects in the Presence of Covariates. Unpublished Paper. Rand Corporation, April.
  • Romanoff, S. (1992). Food and Debt among Rubber Tappers in the Bolivian Amazon. Human Organization: Summer 1992, 51, 122-135.
  • Rosen, A. (2009), “Set Identification via Quantile Restrictions in Short Panels”, CEMMAP, UCL, and IFS September 16, Working Paper, University College, London.
  • Saçaklı Saçıldı, İ. ve Koşan, İ. (2015). Stata ile Panel Veri Modelleri. Güriş Selahattin (Ed.). Der Yayınları. İstanbul. 163-164.
  • Watts, J. (2000). No Progress on Debt and Genetically – Modified Food. The Lancet, 356, 408.
  • World Bank, FAO & IFAD (2009). Gender in Agriculture SourceBook: Agriculture and Rural Development. The International Bank for Reconstruction and Development, The World Bank, Washington DC, 11.
  • WorldAtlas. Erişim Tarihi: 24.4.2018, https://www.worldatlas.com/articles/the-countries-importing-the-most-food-in-the-world
  • Yeong, J., Tey, S. & Radam, A. (2011). Demand Pattern of Rice Imports in Malaysia: Implications for Food Security. The Science, Sociology and Economics of Food Production and Access to Food, 3, 253-261.