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非线性定价、家庭人口特征和收入再分配效应调整

刘自敏等   

  • 出版日期:2015-07-15 发布日期:2015-07-17

Nonlinear Pricing, Household Demographics and Income Redistribution Adjustment

Liu Zimin etal   

  • Online:2015-07-15 Published:2015-07-17

摘要: 本文以分时阶梯定价为例,在人口老龄化及生育政策逐渐放宽的背景下,通过建立结构计量模型,实证分析了引入家庭人口特征后,非线性定价对收入再分配效应这一政策目标的影响。通过构建引入家庭人口特征的二次近乎理想需求(QUAIDS)函数,基于相对等价补偿方法建立收入再分配效应调整的测度模型。估计了为保持相同效用增加家庭不同类型的人口需要增加的电费补偿率及其金额。研究结论表明,引入家庭人口特征后收入再分配效应得到了强化;家庭人口特征对消费者行为选择有显著影响;不同人口规模的家庭的电费补贴结构存在明显差异;动态分析显示,随着预算水平的提高,家庭人口特征对收入再分配效应的影响在减小。

关键词: 非线性定价, 家庭人口特征, 二次近乎理想需求系统, 相对等价规模, 收入再分配

Abstract: This paper analyze nonlinear pricing on income redistribution effect by the introduction of household characteristics under time-of-use pricing cum increasing block pricing. By constructing Quadratic Almost Ideal Demand System (QUAIDS) that is introducing household demographics, we established the adjusted income redistribution effect measurement model based on utility maximization theory and relative equivalent compensation method. Then we estimate the rates of electricity compensation and its amounts which are needed to increase in order to keep the same utility when the household size changed. The results show that, firstly, the income redistribution effect is reinforced in considering household characteristics. Secondly, family characteristics have important influences on consumer choice. Thirdly, dynamic analysis shows that, with the improvement of the budget level, the influences of household demographics on income redistribution effects is decreasing.

Key words: Nonlinear Pricing, Household Demographics, QUAIDS, Relative Equivalence Scale, Income Redistribution