Whose Aid is Beneficial to Firms' Exports? Evidence from a Post‐disaster Aid Experiment in China

Published date01 March 2024
AuthorTan Li,Qing Liu,Lihe Xu
Date01 March 2024
DOIhttp://doi.org/10.1111/cwe.12526
©2024 Institute of World Economics and Politics, Chinese Academy of Social Sciences
China & World Economy / 73–96, Vol. 32, No. 2, 2024 73
Whose Aid is Benef‌i cial to Firms’ Exports? Evidence
from a Post-disaster Aid Experiment in China
Tan Li, Qing Liu, Lihe Xu*
Abstract
Post-disaster aid is widely regarded as important in helping local recovery and
development. This paper examines the effectiveness of post-disaster aid on exports,
which are a driving factor of economic development. It reports a natural experiment
in China – the case of post-disaster aid following the Wenchuan earthquake in 2008 –
to examine how donors’ experiences affected the exports of manufacturing firms in
disaster-stricken counties. The export experience of the donor was important. Aid
coming from donors with more export experience was more beneficial to the exports
of firms in recipient counties than aid from less experienced donors. “Learning from
the donor” is a potential channel through which this effect occurred. That is, firms in
recipient counties learned from donors’ export experience by exporting more products
similar to those of donors, exporting more to the destination countries of donors, and
participating in the donors’ supply-chain networks by exporting more of the donors’
exports. Such “learning from the donor” effects show that knowledge spillover can
occur between spatially distant parties, which complements the literature.
Keywords: China, export, knowledge spillover, post-disaster aid
JEL codes: F14, F35, H84
I. Introduction
Post-disaster aid is an important policy tool used by governments to cope with large
shocks and to reconstruct disaster areas (Cole et al., 2017; Bulte et al., 2018; Juan et al.,
2020), but few studies have discussed how to use post-disaster aid effectively to promote
*Tan Li, Associate Professor, School of International Business, Southwestern University of Finance and
Economics, China. Email: litan@swufe.du.cn; Qing Liu, Professor, School of Economics, Renmin University
of China, China. Email: qliu1997@gmail.com; Lihe Xu (corresponding author), Professor, Institute of Studies
for the Greater Bay Area, Guangdong University of Foreign Studies, China. Email: xulihe@gdufs.edu.cn. The
authors contributed equally and are listed alphabetically by their last names. They are grateful for the useful
comments and discussion from Pinghan Liang, Hong Ma, Dahai Fu, Shiqi Guo, Xifang Sun, and referees, and
for support from the National Social Science Foundation of China (No. 23&ZD041) and the National Natural
Science Foundation of China (Nos. 71973037 and 71703128). Tan Li acknowledges financial support from the
Guanghua Talent Project of the Southwestern University of Finance and Economics.
Tan Li et al. / 73–96, Vol. 32, No. 2, 2024
©2024 Institute of World Economics and Politics, Chinese Academy of Social Sciences
74
local development. No studies have considered whether donors’ advanced experience or
knowledge can spill over to recipients after the aid period to the best of our knowledge.
The extensive literature on aid and development has focused on the average effect of aid
on economic growth (Burnside and Dollar, 2004; Easterly and Pfutze, 2008). Some of
the studies have discussed the effectiveness of aid projects per se (Lin and Wang, 2016;
Liu et al., 2022), and some have touched upon the question of whose aid is important
by examining the ideological and institutional terms that donors request in aid packages
(Liu and Tang, 2018). However, whether the experience of donors, outside of aid
projects, is important, and how the match between the donors and recipients would
stimulate the local economy to achieve endogenous development through international
trade have not been considered. These are important questions for academic research
and policy purposes yet they have rarely been discussed in the literature. This paper
addresses this research gap by investigating the impact of donors’ export experience on
recipients’ exports and exploring the mechanisms involved in this.
Marshallian externality theory explains that workers may transfer their knowledge
or technology among firms when they move from one firm to another within the
industry cluster area (Marshall, 1920). Due to worker mobility and the implicit transfer
of knowledge, the average productivity of one cluster area will increase. The spillover
effect has also been discussed widely in the international trade literature, which states
that economic agents (i.e., firm, labor, or country) can learn from their peers who have
advanced knowledge if they are somehow connected. The exporter may learn from
importers and upgrade its product (Bai et al., 2017) or share the information with its
neighborhood to export to a similar market (Fernandes and Tang, 2014). As we will
show in more detail later, disaster areas are linked tightly with their more developed
donors by post-disaster reconstruction aid projects both via financial support and labor
interactions, although donors and recipients are geographically far away from each
other. This setting provides us with an opportunity to test whether a spillover effect
exists through a post-disaster aid project.
This paper exploits data on post-disaster reconstruction aid after the Wenchuan
earthquake in 2008 in China and combines it with rich export data regarding Chinese
manufacturing firms. It examines how donor capacity is important for recipient counties
by comparing firm export performance between those receiving aid from donors with
rich export experience and those receiving aid from donors with less export experience
before and after the disaster. China’s post-disaster aid after the Wenchuan earthquake
could be regarded as a natural experiment, as illustrated by Bulte et al. (2018). Although
the 18 donor provinces generally exported more than Sichuan province did, they had
very different comparative advantages and varied greatly in export performance. This

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