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- W2783759849 abstract "Food security has been discussed by reports issued by the United Nations and World Bank in recent years. Food insecurity is an important topic for underdevepoled and developing countries with food shortage. In the literatüre, food insecurity/security has been investigated using different econometric methods with cross section and time series data. It seems that the studies focused on one country or a specific region of one country at the household level. The aim of this study is to identify some determinants of food security in the underdeveloped or developing 80 countries with food shortages between 2000 and 2015. Fort his purpose, Kntil Regression Method is used. While the dependent variable in the generated model is the percentage of undernutrition prevalence in place of food insecurity, independent variables; per capita real GDP calculated based on US dollars at fixed prices in 2010, defined as the net food production index containing only edible and nutritious foods, the percentage of Access to developed water resources within the food safety indicators set by FAO and the percentage of acsess to improved sanitasion facilities within the food safety indicators set by FAO. Results show that the effects of explanatory variables (per capita real GDP, net food production index, access to improved water source, accses to improved sanitation facilities) are changing on food insecurity for different quantiles (τ = 0.25, 0.50, 0.75, 0.95) whereas Gaussian fixed effect estimators can only predict the avarage effect on food insecurity. It is found that strong relationship between per capita real GDP and net food prodcution index with food insecurity while it is found that weak relationship between access to improved water source and access to improved sanitation facilities with food insecurity." @default.
- W2783759849 created "2018-01-26" @default.
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- W2783759849 date "2018-01-31" @default.
- W2783759849 modified "2023-09-24" @default.
- W2783759849 title "Some Determinants of Food Insecurity (Comparison of Quantile Regression Method and Fixed Effect Panel Method)" @default.
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- W2783759849 doi "https://doi.org/10.17233/sosyoekonomi.357419" @default.
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