讲座题目：Innovation and Endogenous Knowledge Network Dynamics
讲座摘要：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 implications of knowledge-network dynamics on innovation incentives and aggregate growth. In the model, firm innovation relies on knowledge inputs. Each firm searches for others as knowledge-input suppliers and attracts others as users of its own knowledge. The search and attraction benefits spill over to other firms in the same industry as they share the common sets of suppliers and users. Over time, each firm accumulates and loses suppliers and users, and the network thus evolves endogenously. We characterize the stationary equilibrium path in closed-form. We show that denser networks are associated with faster growth and to what degree the endogenous network dynamics drive aggregate growth. We also show how firm values are tied to their network connections.
主讲人简介：田粲，美国宾夕法尼亚大学经济学博士，现任北卡罗来纳大学教堂山分校经济学助理教授。主要研究方向为宏观经济理论及应用，包括宏观经济中的生产与知识网络，企业及产业动态，经济周期等。主要研究兴趣是内生网络形成与动态及其在宏观模型中的应用。学术文章曾发表于Journal of Monetary Economics, Journal of Economic Theory, International Economic Review, European Economic Review, Journal of Economic Dynamics and Control等期刊。