Publication:

Quid Pro Quo, Knowledge Spillover and Industrial Upgrading

Loading...
Thumbnail Image

Open/View Files

Date

2019-11

Published Version

Journal Title

Journal ISSN

Volume Title

Publisher

Center for International Development at Harvard University
The Harvard community has made this article openly available. Please share how this access benefits you.

Research Projects

Organizational Units

Journal Issue

Citation

Bai, Jie, Panle Barwick, Shengmao Cao, and Shanjun Li. “Quid Pro Quo, Knowledge Spillover and Industrial Upgrading.” CID Working Paper Series 2019.368, Harvard University, Cambridge, MA, November 2019.

Abstract

Are quid pro quo (technology for market access) policies effective in facilitating knowledge spillover to developing countries? We study this question in the context of the Chinese automobile industry where foreign firms are required to set up joint ventures with domestic firms in return for market access. Using a unique dataset of detailed quality measures along multiple dimensions of vehicle performance, we document empirical patterns consistent with knowledge spillovers through both ownership affiliation and geographical proximity: joint ventures and Chinese domestic firms with ownership or location linkage tend to specialize in similar quality dimensions. The identification primarily relies on within-product variation across quality dimensions and the results are robust to a variety of specifications. The pattern is not driven by endogenous joint-venture network formation, overlapping customer base, or learning by doing considerations. Leveraging additional micro datasets on part suppliers and worker flow, we document that supplier network and labor mobility are important channels in mediating knowledge spillovers. However, these channels are not tied to ownership affiliations. Finally, we calibrate a simple learning model and conduct policy counterfactuals to examine the role of quid pro quo. Our findings show that ownership affiliation facilitates learning but quality improvement is primarily driven by the other mechanisms.

Description

Other Available Sources

Research Data

Keywords

Terms of Use

This article is made available under the terms and conditions applicable to Other Posted Material (LAA), as set forth at Terms of Service

Endorsement

Review

Supplemented By

Related Stories