TECHNOLOGICAL ASSIMILATION AND DIVERGENCE IN TIMES OF CRISIS
研究了一个内生随机增长模型，其中技术知识的积累通过适应性学习过程决定，分析了技术发展水平差异如何导致落后国家创新激励不足，进而引发全要素生产率的分化和技术停滞，并用欧盟创新联盟记分板数据模拟了波罗的海国家与参考创新者的增长模式。
We study an endogenous stochastic growth model whose dynamic evolution is determined by an adaptive learning process defining the accumulation of technological knowledge within countries. Both the assimilation of technological knowledge and the arrival rate of innovations depend on the technological development level of countries. We illustrate how heterogeneous levels of technological development provide laggard countries with insufficient innovation incentives, leading to divergences in total factor productivity and their technological stagnation. The model is simulated numerically using data from the current Innovation Union Scoreboard where the main expected growth patterns of the Baltic States are compared to those of the reference innovators within the European Union area.