Sino-US S and T Frictions and Transnational Knowledge Flows: Evidence from machine learning and cross-national patent data
This paper identifies the impact of China-U.S. science and technology (S&T) friction on knowledge flows in different fields, using data on invention patent applications from China, the U.S., Europe, and the World Patent Office (WPO) along with machine-learning-based econometric methods. The empirical results find that the negative impacts of China-U.S. S&T frictions on cross-border knowledge flows are confined to a limited number of technology areas during the period of our observation. This paper further explores the characteristics of the negatively impacted technology areas, and the empirical results show that technology areas that rely more on basic scientific research, where the distribution of U.S. scientific and technological strength is more concentrated, and where the gap between U.S. and Chinese science and technology is narrower, are more likely to be the victims of the Sino-U.S. S&T friction.
Code (0)
등록된 구현이 없습니다.
Tasks
FrictionSimilar Papers 제목 키워드 기반
Exploring cities of Central and Eastern Europe within transnational company networks: the core-periphery effect
After the Fall of the Berlin Wall, Central Eastern European cities (CEEc) integrated the globalized world, characterized by a core-periphery structure and hierarchical interactions between cities. This article gives evid…
Granular Linkages, Supplier Cost Shocks & Export Performance
This paper presents evidence on the granular nature of firms' network of foreign suppliers and studies its implications for the impact of supplier shocks on domestic firms' performance. To demonstrate this, I use customs…
"Quantum Equilibrium-Disequilibrium": Asset Price Dynamics, Symmetry Breaking, and Defaults as Dissipative Instantons
We propose a simple non-equilibrium model of a financial market as an open system with a possible exchange of money with an outside world and market frictions (trade impacts) incorporated into asset price dynamics via a …
FrictionDeep Learning-Based Open Source Toolkit for Eosinophil Detection in Pediatric Eosinophilic Esophagitis
Eosinophilic Esophagitis (EoE) is a chronic, immune/antigen-mediated esophageal disease, characterized by symptoms related to esophageal dysfunction and histological evidence of eosinophil-dominant inflammation. Owing to…
DiagnosticEnsemble Learningobject-detectionObject DetectionGenerative AI and Sales Productivity: Field Experiments in Online Retail
We quantify the short-term impact of Generative Artificial Intelligence (GenAI) on sales performance through a series of large-scale randomized field experiments involving millions of users and products at a leading cros…