Diseño de un seguro de ingresos de toda la granja para cultivos agrícolas en la provincia de Zanjan de Irán

[EN] The purpose of this article is to design and empirically evaluate the Whole Farm Insurance (WFI) over the conventional insurance programs in Zanjan province of Iran. Historical farm-level and county-level data were used to estimate yield and price density functions. Both parametric and non-parametric methods were applied for predicting the future values and the PQH simulation method was utilized to calculate premium rates. Results revealed that loss ratios of the WFI are lower for farmers who insured more than one crop. Additionally, utilizing WFI reduces premiums. Moreover, premiums obtained from nonparametric method are relatively lower compared to the parametric approach.[ES] El propósito de este artículo es diseñar y evaluar empíricamente el Seguro Agrario Integral (SAI) con respecto a los programas de seguros convencionales en la provincia de Zanjan de Irán. Se usaron datos históricos a nivel de explotación y de comarca para estimar las funciones de rendimiento y de densidad de precios. Se aplicaron métodos paramétricos y no paramétricos para predecir los valores futuros y se utilizó el método de simulación SAI para calcular las tasas de primas. Los resultados revelaron que los índices de pérdida del SAI son más bajos para los agricultores que aseguraron más de un cultivo. Además, la utilización del SAI reduce las primas. Las primas obtenidas del método no paramétrico son relativamente más bajas en comparación con el enfoque paramétrico.Ghahremanzadeh, M.; Mohammadrezaei, R.; Dashti, G.; Ainollahi, M. (2018). Designing a whole-farm revenue insurance for agricultural crops in Zanjan province of Iran. Economía Agraria y Recursos Naturales - Agricultural and Resource Economics. 17(2):29-53. doi:10.7201/earn.2017.02.02SWORD295317

Examining Subsidy Polices on Maize Production in Iran (Panel Data Approach)

Among the agricultural important factors, inputs are the most significant in agricultural production. This article aimed to examine the impact of government subsidy policies on production of one of the most strategic products, namely maize, in Iran. To achieve this goal, panel data for the nine provinces of Iran's major producers of maize during the period of 1999-2007, is used. In this study, first the country's maize production function has been estimated by using data information for inputs: chemical fertilizer, labor, water, seeds and pesticides. And then, calculating the partial elasticity of production factors, sensitivity of production to changes in the value of inputs is evaluated. Also, using a methodology based on the maximum profit, inputs´ demand function is calculated.Results of analyzing government Subsidy Policy showed that, paying subsidy to chemical fertilizer decreases maize production 0.412 percent, because of low demand elasticity of this input. Also according to subsidy of seed, with regard to low demand elasticity of this input to its price, paying subsidy that decreases seed price, wouldn´t have so high effect on its consumption and consequently, on production growth, so that maize production only increased 0.478 percent due to paying subsidy to seed

Examining Subsidy Polices on Maize Production in Iran (Panel Data Approach)

Among the agricultural important factors, inputs are the most significant in agricultural production. This article aimed to examine the impact of government subsidy policies on production of one of the most strategic products, namely maize, in Iran. To achieve this goal, panel data for the nine provinces of Iran's major producers of maize during the period of 1999-2007, is used. In this study, first the country's maize production function has been estimated by using data information for inputs: chemical fertilizer, labor, water, seeds and pesticides. And then, calculating the partial elasticity of production factors, sensitivity of production to changes in the value of inputs is evaluated. Also, using a methodology based on the maximum profit, inputs´ demand function is calculated.Results of analyzing government Subsidy Policy showed that, paying subsidy to chemical fertilizer decreases maize production 0.412 percent, because of low demand elasticity of this input. Also according to subsidy of seed, with regard to low demand elasticity of this input to its price, paying subsidy that decreases seed price, wouldn´t have so high effect on its consumption and consequently, on production growth, so that maize production only increased 0.478 percent due to paying subsidy to seed

Designing a whole-farm revenue insurance for agricultural crops in Zanjan province of Iran

The purpose of this article is to design and empirically evaluate the Whole Farm Insurance (WFI) over the conventional insurance programs in Zanjan province of Iran. Historical farm-level and county-level data were used to estimate yield and price density functions. Both parametric and non-parametric methods were applied for predicting the future values and the PQH simulation method was utilized to calculate premium rates. Results revealed that loss ratios of the WFI are lower for farmers who insured more than one crop. Additionally, utilizing WFI reduces premiums. Moreover, premiums obtained from nonparametric method are relatively lower compared to the parametric approachy

Designing a whole-farm revenue insurance for agricultural crops in Zanjan province of Iran

The purpose of this article is to design and empirically evaluate the Whole Farm Insurance (WFI) over the conventional insurance programs in Zanjan province of Iran. Historical farm-level and county-level data were used to estimate yield and price density functions. Both parametric and non-parametric methods were applied for predicting the future values and the PQH simulation method was utilized to calculate premium rates. Results revealed that loss ratios of the WFI are lower for farmers who insured more than one crop. Additionally, utilizing WFI reduces premiums. Moreover, premiums obtained from nonparametric method are relatively lower compared to the parametric approachy

Pass-through effects of global food prices on consumer prices in Iran

The objective of this study is using the Markov Switching Vector Autoregressive method and regime dependent impulse response functions to measure the pass-through of world food prices to consumer price index in Iran from 1990 to 2013. With respect to information criteria and the log-likelihood ratio statistic, MSIA(2)-VAR(1) model has a better fit to data than other models. The magnitude of the pass-through in first and second regimes is respectively 0.43 and 0.94 after two years. We show that the magnitude of the pass-through from world food prices to consumer price index resulting from recent world food price shocks has been higher than before