期刊文献+

次优和非最优的一般分析:方法的创新 被引量:1

A General Analysis on the Second and non-Pareto Optimality:Innovation of Method
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摘要 本文运用理性预期思想和随机等价方法开拓性地研究了资源配置的效率,包括帕累托最优(无约束帕累托最优和有约束帕累托最优)和非帕累托最优。基本结论是,一个资源配置中所有商品价格波动的总方差等于零等价于在二阶条件具备下其处于帕累托最优状态,也等价于资源配置满足无约束条件下的帕累托最优条件或有约束条件下的帕累托次优条件;而总方差大于零等价于资源配置处于非帕累托最优状态;总方差与资源配置中期望价格的比值越小,则这个配置的效率越高,反之,则越低。最后,设计了一个“信息逐步披露的预期帕累托改进”模型,讨论了非帕累托最优配置的改进途径及其政策含义。 This paper comparatively deeply researches on the efficiency of resource allocation by means of rational expectation theory and random equivalence method, the problems of which involves Pareto optimality, including unbound Pareto optimality and bound Pareto optimality, and Non-Pareto optimality. Its basic conclusions concern with that the aggregate variance of price fluctuation of the overall goods in the resource allocation is equivalent to its achievement at Pareto optimality, and is also equivalent to that the resource allocation satisfies Pareto optimality conditions under unbound conditions or Pareto's second optimality conditions under bound conditions. More than zero of the aggregate variance is equivalent to that the resource is in non-Pareto optimality status. The ratio of the aggregate variance to the expectation price of the resource is smaller, the efficiency of the resource allocation is lower, vice versa. Finally, this article works out a model of "expected improving based on gradual exposure of information", and discusses the road of Pareto improvement and it's policy implications.
出处 《数量经济技术经济研究》 CSSCI 北大核心 2006年第4期146-156,共11页 Journal of Quantitative & Technological Economics
关键词 最优条件 次优条件 最优配置 非最优配置 帕累托改进 Optimal Condition Second Optimal Condition Optimal Allocation Nonoptimal Alloeation Pareto Improvement
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