Foreign Ownership and International Trade Performance in China

Published date01 March 2024
AuthorZhiyuan Li,Yichun Lin,Mingyao Xu
Date01 March 2024
DOIhttp://doi.org/10.1111/cwe.12525
©2024 Institute of World Economics and Politics, Chinese Academy of Social Sciences
China & World Economy / 42–72, Vol. 32, No. 2, 2024
42
Foreign Ownership and International Trade
Performance in China
Zhiyuan Li, Yichun Lin, Mingyao Xu*
Abstract
We investigate the causal relationship between foreign ownership and international
trade performance by comparing foreign-acquired firms with similar domestic-acquired
firms in China with regard to changes in their post-acquisition international trade
performance. Our findings indicate that foreign ownership significantly enhanced the
probability of both exporting and importing, and strongly increased trade value. Foreign
ownership took effect from the year of the acquisition and persisted for at least 2 years.
It stimulated both processing trade and ordinary trade, and expanded products and
trading partners. Post-acquisition trade performance also exhibited heterogeneity based
on the different pre-acquisition and post-acquisition ownership. As for the underlying
mechanisms, we show that firms experienced significant output expansion, increased
export dependence, and eased financial constraints after foreign acquisition.
Keywords: domestic acquisition, foreign acquisition, foreign ownership, international
trade performance
JEL codes: F14, F23, F68
I. Introduction
Firms partly or fully owned by foreign investors contribute to a substantial percentage
of a country’s international trade.1 The existing literature largely considers the impacts
of foreign capital on firm performance but it lacks a comprehensive discussion of
international trade performance. What does foreign ownership mean to a firm’s
international trade performance? Does foreign ownership encourage firms to enter the
global market?
*Zhiyuan Li (corresponding author), Professor, School of Economics, Fudan University; Shanghai Institute of
International Finance and Economics, China. Email: zhyli@fudan.edu.cn; Yichun Lin, PhD Candidate, School
of Economics, Fudan University, China. Email: yclin20@fudan.edu.cn; Mingyao Xu, PhD Candidate, School
of Economics, Fudan University, China. Email: myxu20@fudan.edu.cn. This work was supported by the
National Natural Science Foundation of China (Nos. 72273035, 72121002, and 42341205); the Major Project
of the Key Research Base of the Ministry of Education, China (No. 22JJD790012).
1On average, foreign-invested firms contributed to 49 percent of China’s exports during 2011–2013, and most
of these foreign-invested firms’ exports were in the form of processing exports.
©2024 Institute of World Economics and Politics, Chinese Academy of Social Sciences
Foreign Ownership and International Trade Performance 43
Our main interest in this paper is in the causal relationship between foreign ownership
and firms’ international trade performance. Figure 1 shows that, during the early 1990s
and 2000s in China, the number of foreign acquisitions with Chinese firms as the sellers
surged in two waves, and trade volume soared during these periods. However, the
parallel trends do not tell us how much of this correlation is causal. Simply comparing
domestic firms and foreign-owned firms also fails to answer this question, as the
different establishment decisions of foreign investors and domestic investors raise
numerous issues related to endogeneity.
Figure 1. Foreign acquisition and trade of China
Source: Compiled by the authors based on WIND database.
Notes: This figure plots the time series of the aggregated number of foreign acquisition cases and international
trade volume of China during 1978–2013. The solid line plots the number of foreign acquisition cases in
which Chinese firms act as the seller (left axis), and the two dashed lines plot China’s aggregate volume
of exports and imports (right axis).
In this paper, we examine the causal impact of foreign ownership on firms’
international trade performance, with our identification strategy based on foreign
acquisitions. Combining three firm-level datasets, the Chinese Industrial Enterprises
Database, Chinese Customs Database, and the Chinese Industrial and Commercial
Registration Database, we construct a firm-level panel data covering 2000–2013, with
detailed information on firms’ ownership changes, international trade behavior, and
foreign investors’ country of origin. The panel data allow us to observe the changes
in international trade performance after acquisition by foreign investors. To eliminate
the possible impact of general acquisitions, we use firms that have been acquired by
domestic investors in the same year as the control group. To address the possibility that
there was selection bias with foreign investors targeting domestic firms with higher

Get this document and AI-powered insights with a free trial of vLex and Vincent AI

Get Started for Free

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex