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粮食价格波动对城镇居民福利变化影响的实证分析 被引量:1
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作者 苗珊珊 徐永金 +1 位作者 陆迁 同海梅 《统计与决策》 CSSCI 北大核心 2015年第4期103-107,共5页
基于1978~2010年13个省区城镇居民的数据资料,对粮食需求弹性进行估计,运用Minot福利效应模型,考察粮价波动的城镇居民福利效应。在此基础上,将城镇居民按其收入分为七个等级,考察不同收入等级城镇居民粮食价格波动对其短期福利及长期... 基于1978~2010年13个省区城镇居民的数据资料,对粮食需求弹性进行估计,运用Minot福利效应模型,考察粮价波动的城镇居民福利效应。在此基础上,将城镇居民按其收入分为七个等级,考察不同收入等级城镇居民粮食价格波动对其短期福利及长期福利的影响机理。最后,采用脉冲响应函数分析粮食价格波动对城镇居民福利变动的冲击效应。 展开更多
关键词 价格波动 福利效应 需求弹性估计 粮食 误差修正模型
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Sensitivity analysis for stochastic user equilibrium with elastic demand assignment model
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作者 王建 吴鼎新 邓卫 《Journal of Southeast University(English Edition)》 EI CAS 2014年第3期363-367,共5页
This paper puts forward a rigorous approach for a sensitivity analysis of stochastic user equilibrium with the elastic demand (SUEED) model. First, proof is given for the existence of derivatives of output variables... This paper puts forward a rigorous approach for a sensitivity analysis of stochastic user equilibrium with the elastic demand (SUEED) model. First, proof is given for the existence of derivatives of output variables with respect to the perturbation parameters for the SUEED model. Then by taking advantage of the gradient-based method for sensitivity analysis of a general nonlinear program, detailed formulae are developed for calculating the derivatives of designed variables with respect to perturbation parameters at the equilibrium state of the SUEED model. This method is not only applicable for a sensitivity analysis of the logit-type SUEED problem, but also for the probit-type SUEED problem. The application of the proposed method in a numerical example shows that the proposed method can be used to approximate the equilibrium link flow solutions for both logit-type SUEED and probit-type SUEED problems when small perturbations are introduced in the input parameters. 展开更多
关键词 network modeling stochastic user equilibrium elastic demand sensitivity analysis first-order approximation
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Estimating the Fresh Vegetables Demand System in Jordan: A Linear Approximate Almost Ideal Demand System
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作者 A. S. Jabarin E. K. Al-Karablieh 《Journal of Agricultural Science and Technology》 2011年第3期322-331,共10页
The main objective of this research is to estimate the different types of demand elasticities for the main fresh vegetables consumed in Jordan. The estimated elasticities can be used to measure the impacts of agricult... The main objective of this research is to estimate the different types of demand elasticities for the main fresh vegetables consumed in Jordan. The estimated elasticities can be used to measure the impacts of agricultural policies and can be used to predict future consumption in the context of food security in terms of access, availability, stability, and food quality. The reported demand estimates were obtained through the estimation of a Linear Approximate Almost Ideal Demand Systems (LA/AIDS) for Jordan fresh vegetable crops demand system using the most recent cross-sectional data of household expenditure survey in 2005. A censored regression method for the system of equations was used to analyze fresh vegetables consumption patterns. This method allows for inclusion of a large number of zero consumption for some foods through two-step demand system estimation. All of the own-price demand elasticities have the correct negative signs and statistically significant. According to the expenditure elasticity, tomato, cucumber, and potato are the necessity goods. The mean budget shares indicate that consumers spend 30 percent of their allocated budget to vegetables on tomatoes and potatoes. The green bean elasticity is the highest indicating that demand for beans is highly responsive to any changes in the price. The expenditure elasticities reveal that the demand on all vegetables is expected to grow over the coming few years. High own-price elasticities of all vegetables studied suggests that any changes in the prices of these crops could bring about a significant shift in fruits and vegetable constanption patterns. 展开更多
关键词 Vegetable demand system demand elasticities LA/AIDS model Marshallian and Hicksian elasticities censored regression probit model.
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