Dynamic Optimization with a Non-Convex Technology: The Case of a Linear Objective Function
Dynamic Optimization with a Non-Convex Technology: The Case of a Linear Objective Function
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使用非凸技术的动态优化：线性目标函数的情况
DOI：
10.2307/2296961
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发表时间：
1983
期刊：
影响因子：
--
通讯作者：
Tapan Mitra
中科院分区：
文献类型：
--
作者：
M. Majumdar;Tapan Mitra
研究了以非凸技术集为目标函数，以消费折现和为目标函数的聚合模型下的最优跨期分配问题。这项研究表明存在一个阈值初始存量，因此最优方案的长期行为关键取决于初始存量是高于还是低于阈值。这与标准收费公路理论的凸模型形成对比，在凸模型中，最优方案的长期行为与初始库存无关。
The paper studies the problem of optimal intertemporal allocation in an aggregative model with a non-convex technology set and a discounted sum of consumptions as the objective function. The study demonstrates the existence of a threshold initial stock such that the long-run behaviour of optimal programmes depends critically on whether the initial stock is, above or below the threshold. This is in contrast with the standard turnpike theory of convex models in which the long-run behaviour of optimal programmes is independent of the initial stock.