基于演化理论的企业研发投入策略模拟实证分析

A simulation empirical analysis on firms' R&D strategy based on evolutionary theory

运用演化经济学的基本思想,探讨了产业中数个企业的研发投入策略的演化过程。我们运用遗传算法构建了一个企业研发投入策略的演化模型,根据学习规则的不同将企业划分为三种类型,并通过计算机程序仿真模拟了该演化过程。本文的目的是通过遗传算法检验学习对研发投入策略演化过程的影响作用,经过对不同类型企业的绩效比较分析,仿真结果验证了学习不仅加强了企业的市场竞争能力,而且也增进了技术创新和社会效益。

In this paper, we study the strategy of R＆D among a group of firms in a competitive industry with the basic thoughts of the evolutionary economics. We create a R＆D evolutionary model with Genetic Algorithm. In the model, three types of firms choose different learning rules to compete. This article aims to test the relevance of learning through genetic algorithms. These three R＆D strategies in our model are compared from the points of view of industry performance and firms＇ relative performance： simulations results clearly show that learning is a source of technological and social efficiency as well as a means for market domination.