| China Economy ................................................................................................................................ |
|---|
| Term: Fall 2019-2020 |
| Location: Sever Hall 214 |
| Meeting Time: Tuesdays at 3-4:30pm, to be announced (not every week) |
| Description: This seminar provides a forum for faculty, graduate students, and research fellows in economics and other fields to present and discuss research and scholarship on the economic and social transformation of China. The seminar will give special attention to the environmental, technological, and social changes that are accompanying China's extraordinary economic development and to the links between Chinese and US economies. |
| List Serve/Announcements: |
| DATE | SPEAKER | TITLE |
|---|---|---|
| Tues Jan 28 |
Introduction Sever Hall 214 |
Seminar participants will introduce themselves, their research and data sets. |
|
NOTE: date and location
FRIDAY Feb 14 @ 12-1:30pm
|
SPEAKER: David Yang (Harvard University) LOCATION: Baker 102, Bloomberg Center, HBS Campus: |
TITLE: Data-intensive Innovation and the State: Evidence from AI Firms in China
ABSTRACT:
Data-intensive technologies such as AI may reshape the modern world. We propose that two features of data interact to shape innovation in data-intensive economies: first, states are key collectors and repositories of data; second, data is a non-rival input in innovation. We document the importance of state-collected data for innovation using comprehensive data on Chinese facial recognition AI firms and government contracts. Firms produce more commercial software and patents, particularly data-intensive ones, after receiving government public security contracts. Moreover, effects are largest when contracts provide more data. We then build a directed technical change model to study the state’s role in three applications: autocracies demanding AI for surveillance purposes, data-driven industrial policy, and data regulation due to privacy concerns. When the degree of non-rivalry is as strong as our empirical evidence suggests, the state’s collection and processing of data can shape the direction of innovation and growth of data-intensive economies.
|
| Tuesday, Feb 18 @ 3pm | Sever Hall 214 | Discussion on the Impact of the Coronavirus on the Local & Global Economy: Methods for Analysis |
| Tuesday, March 3 @ 3pm | To be announced | |
| Tuesday, March 10 @ 3pm | Sever Hall 214 |
SPEAKER: Kejian Gu (Renmin University) "TITLE: "A Model of Stability Conditions and the Forex issues of Renminbi" |