现代化产业体系是新发展格局的基础。加快构建现代化产业体系，需要着力在实体经济发展，推进新型工业化；需要打造自主可控、安全可靠、竞争力强的产业链；需要以创新促发展，大力发展新质生产力。围绕这一要求，中央财经大学88038威尼斯将连续举办“龙马产业发展论坛”，通过定期邀请国内外产业经济学领域知名学者，以主旨演讲的形式，围绕中国现代化产业体系建设的相关问题，开展学术交流与讨论。希望各位老师和同学积极参加。

讲座时间：2024年3月8日14:00-17:00

讲座地点：中央财经大学沙河校区11号楼88038威尼斯308室

主旨演讲一：Breaking Drug Trafficking Chains: The Real Name Mailing Regulation and the Decline of Drug Use

内容摘要：Postal services have become an important channel for drug trafficking worldwide. This study examines the impact of real-name mailing regulations on drug use. Based on the universe of drug arrests in a Chinese province, the difference-in-differences analysis reveals that after the implementation of this regulation, on average, a town with ten percent higher courier service penetration exhibited a 0.78 percent reduction in drug arrests. This effect persisted for at least one year. We exploit the early development of the courier service industry and use the early mulberry tree planting status as an Instrumental Variable for courier service penetration. We found no evidence that police enforcement changed or that drug users substituted alternative substances. Further analysis reveals that the number of first-time users has diminished, while the number of addicted users remains constant. We suggest the potential of regulating private courier services in deterring drug use.

嘉宾简介：梁平汉，中山大学政治与公共管理学院教授，博士生导师，中山大学“逸仙学者”、牛津大学“太古”高级访问学者、《产业经济评论》执行副主编、亚行咨询专家，主要研究公共经济学、地方政府行为、行为与实验经济学、数字技术的社会影响等。在Economic Journal, Games and Economic Behavior，《经济研究》、《管理世界》等国内外一流期刊发表论文数十篇，主持国家社科重点、国家自科面上、自科青年等国家级项目，曾获教育部优秀成果奖、霍英东基金会优秀青年教师奖等表彰。

主旨演讲二：数字经济发展的福利效应

嘉宾简介：张勋，北京师范大学统计学院金融统计系教授，博士生导师，北京大学数字金融研究中心特约高级研究员，入选2022年度教育部国家级高层次人才。主要研究领域为数字经济与数字金融、区域经济和发展经济学，在《中国社会科学》、《经济研究》、《管理世界》、《统计研究》、《经济学（季刊）》以及Journal of Banking & Finance、Journal of Population Economics等期刊发表论文70余篇，全球经济学与商学领域前1% ESI高被引论文作者。主持承担国家社科基金重点项目，国家自然科学基金面上和青年项目，青年项目在绩效评估中被评为“特优”。曾获霍英东教育基金会高等院校青年科学奖、张培刚发展经济学青年学者奖、洪银兴经济学奖（青年）和商务部商务发展研究成果奖等多项学术奖项。

主旨演讲三：The Anatomy of Chinese Innovation: Insights on Patent Quality and Ownership

内容摘要：We study the evolution of patenting activity in China from 1985 to 2020 and its rapid growth over the last two decades. We leverage the capabilities of a Large Language Model (LLM) to measure patent importance and similarity based on patent text data and utilize information from a comprehensive business registry in China to measure patent ownership. This leads to four novel insights. First, the importance of the average invention patent in China declined from 2000 to 2010 but has been increasing in recent years. Second, private Chinese firms and universities account for most of the growth in Chinese patenting, whereas the role of overseas patentees has declined dramatically in terms of both levels and importance. Third, patentees in China have greatly reduced their dependence on foreign knowledge, a trend that began in the early 2000s. Finally, Chinese and foreign patenting have become more similar in terms of specialization across technology classes, but differences persist within technology classes as revealed by text similarities.

嘉宾简介：戴若尘，中央财经大学88038威尼斯副教授，硕士生导师，北京大学国家发展研究院博士。北京大学企业大数据研究中心（CER）兼职研究员，中国企业创新创业调查（ESIEC）2019项目负责人。其研究兴趣为：企业家精神、产业经济学、网络经济学和企业大数据。论文发表在Journal of Economic Behavior & Organization, China Economic Review和管理世界等国内外知名期刊。