具有不完全技术外部性的随机Learning-by-Doing模型及解法  

A stochastic learning-by-doing model with incomplete technological externality and its solution

作　　者：王海军[1] 胡适耕[2] 

机构地区：[1]上海财经大学应用数学系,上海200433 [2]华中科技大学数学与统计学院,武汉430074

出　　处：《华中师范大学学报（自然科学版）》2009年第3期359-362,共4页Journal of Central China Normal University：Natural Sciences

基　　金：国家自然科学基金项目(10771131);上海市高校优秀青年教师专项基金项目;上海财经大学"211工程"三期重点学科建设项目

摘　　要：提出适用于随机Learning-by-Doing模型的"附加效用"值函数解法,并用此方法求解具有不完全技术外部性的随机learning-by-doing模型,得到了均衡时的经济增长路径、消费—资本比和值函数,讨论了技术外部性对私人资本回报率、消费倾向、均值经济增长率和个体福利的影响.In this paper, on ＂additional utility＂ value function method suited stochastic learning-by-doing models is proposed and a stochastic learning-by-doing model with incomplete technological externality is resolved by it. The economic growth path, the consumption-capital ratio and the value function in equilibrium are derived and the effects of technological externality on the return rate of private capital, the propensity to consumption, and the mean economic growth rate and individual welfare are all discussed.

关 键 词：1earning—by-doing 内生增长 技术外部性 “附加效用”值函数法 

分 类 号：O224[理学—运筹学与控制论] F224[理学—数学]