主讲人：周康

开始时间：6月14日下午2点30分

地点：25-1910

主办单位：开云Kaiyun开云Kaiyun

         经管公司青促会

讲座名称：Investments and Innovation with Non-Rival Inputs: Evidence from Chinese Artificial Intelligence Startups

主讲人简介：

周康博士毕业于香港中文大学经济系，现为浙江大学经济公司“百人计划”研究员、共享与发展研究院研究员，博士生导师。他的主要研究方向为发展经济学、国际贸易、劳动经济学，涉及经济发展的原因与后果、人力资本的形成、劳动力与婚姻市场、经济结构转型等问题。他最近的研究成果见于Journal of Development Economics、Journal of Economic Behavior and Organization、《经济研究》等国内外知名学术期刊。

报告摘要：

Large technology firms have substantial advantages in data, a key non-rival input for developing AI technology. We argue that investments by large technology firms stimulate innovation by AI startups through the sharing of data, bringing more than money to the startups. We assemble a unique dataset containing (nearly) the universe of AI-inventing firms in China to examine the innovation effects of these investments. Our difference-in-differences estimation shows that, after receiving investments from large technology firms, AI startups increase the number of AI patent applications by 62% and the number of software products by 56%, relative to their mean values prior to the investments. Using a triple-differences strategy, we further find that the innovation impact of investments by large technology firms is stronger than that of investments by other firms without data advantages. We confirm these findings using an instrumental variables approach based on recent investments by large technology firms in peer startups. Finally, we provide novel evidence that the innovation effect works mainly through sharing non-rival data by leveraging our rich information on non-AI data-related patent applications and data-related online job postings.