学术报告新

蔡洁，上海财经大学经济学院常任副教授，毕业于加拿大University of Britisch Columbia，研究方向为经济增长和国际贸易。曾经在Review of Economic Studies, Journal of International Economics, American Economic Journal: Macroeconomics, Economic Modelling等杂志发表文章。

 We study innovation and endogenous knowledge-network evolution in a general equilibrium framework with heterogeneous firms and long-run growth. The empirical examination uses patent-citation data to track the formation of new links in the knowledge network across technological categories. We find that these new links are formed infrequently and tend to connect high-quality innovations and large firms on both ends. Formation of such new links boosts innovation and real performance of firms on both ends with positive spillovers to other firms. We build a tractable model to rationalize these findings and study the aggregate implications of knowledge-network dynamics. In the model, the knowledge network evolves endogenously as each firm searches for others as knowledge-input suppliers and attracts others as users of its own knowledge. We characterize the stationary equilibrium path in closed-form and show that denser networks are associated with faster growth. The calibrated model suggests that cross category knowledge network dynamics account for more than a half of growth in the US and explain almost two thirds of the growth slowdown.