Rise and Fall of Multinational Enterprises in Vietnam: Survival Analysis Using Census Data during 2000–2011*

AuthorTien Manh Vu,Tsunehiro Otsuki,Hiroyuki Yamada
DOIhttp://doi.org/10.1111/asej.12114
Date01 March 2017
Published date01 March 2017
Rise and Fall of Multinational Enterprises in
Vietnam: Survival Analysis Using Census Data
during 20002011*
Tien Manh Vu, Hiroyuki Yamada and Tsunehiro Otsuki
Received 03 June 2015; accepted 23 November 2016
This study examined the survival of multinational enterprises (MNE) in Vietnam
during 20002011 using Cox hazard models. The characteristics and ownership
structure of rms and the nationality of foreign partners are found to be associated
with the probability of rm exit, with a rm having greater capital share of foreign
partners surviving longer. An efcient local government requiring less time for
bureaucratic procedures and inspections is found to be associated with a lower
probability of MNE exiting. Meanwhile, transparency in business regulations and
predictability in implementing central government policies accelerate the survival
of highly competitive MNE.
Keywords: government performance, multinational enterprises, ownership, sur-
vival, Vietnam.
JEL classication codes: L24, L25, O02, P27.
doi: 10.1111/asej.12114
I. Introduction
The rst laws on foreign investment after Doi Moi came into effect in Vietnam in
1997 and since then multinational enterprises (MNE) have become crucial stake-
holders in the Vietnamese economy.MNE accounted for 11.52 percent of employ-
ment in the Vietnamese economy in 2000, and this share increased rapidly to
22.84 percent by 2007 (GSO, 2013b). Moreover, the capital stock associated with
foreign direct investment (FDI) almost doubled from, 580 billion to 1108 billion
*Vu (corresponding author): Asian Growth Research Institute and Osaka School of International
Public Policy,Osaka University, 11-4 Otemachi, Kokura-kita, Kitakyushu, Fukuoka 803-0814, Japan.
Email: vu@agi.or.jp Yamada: Faculty of Economics, Keio University,2-15-45 Mita, Minato-ku, Tokyo
108-8345, Japan. Otsuki: Osaka School of International Public Policy, Osaka University, 1-31
Machikaneyama,Toyonaka, Osaka 560-0043, Japan. We are grateful for the insightful comments and
suggestions of an anonymous referee, the Editor of this journal, Masahiro Shoji, Yasuyuki Sawada,
Yasuyuki Todo, Takashi Kurosaki, Aya Suzuki, Yuya Kudo, Daichi Shimamoto, and the participants
in the APL Seminar held at the Institute of Developing Economies, Japan External Trade Organization,
Chiba, Japan, and the Tokyo Workshop on International Development (CIRJE) held at the University
of Tokyo,Japan, in November 2015. We acknowledge nancial support (Grant numbers 22330077 and
25780163) from the Japan Society for the Promotion of Science and Kikawada Foundation.
© 2017 East Asian Economic Association and John Wiley & Sons Australia, Ltd
Asian Economic Journal 2017, Vol.31 No. 1, 83109 83
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Vietnamese dong during the same period (GSO, 2013a).
1
Despite this rapid
growth of FDI inow in Vietnam, the census data show a high rate of MNE
exiting the Vietnamese market, a nding consistent with Ha and Kiyota (2014),
who found a high turnover (approximately 35 percent for both entry and exit rates
in 2008) of manufacturing rms in the country, including domestic rms. This is a
challenging situation for the countrys outward-oriented growth strategy and for
the continued success of MNE in Vietnam.
Thus, a need has arisen for detailed research on the behavior of MNE in Vietnam
in terms of performance for survival in business as well as for entry. Severalempir-
ical studies have investigated the turnover patterns of rms using rm-level data
(see e.g. Griliches and Regev, 1995). Most of these studies focus on the probability
of entry and exit at a particular time point, but this short-run framework is not nec-
essarily suitable to capture the complex nature of a rms survival (or exit) deci-
sions. Firms might consider the past, present and future economic conditions
when making survival decisions. For example, rms might not exit as soon as they
run into a decit, but may stay in business if they expect opportunities in the future
(Dixit, 1989). Thus, focusing on how long a rm survives may be more appropriate
to explain the observed turnover patterns of rms. However, as discussed in detail
below,few empirical studies on MNE turnover focus on the survival of rms and its
determinants, especially with census data of emerging or developing countries.
Previous studies on the determinants of rm turnover patterns use rm-level
data and focus on a limited set of factors, including rm productivity, rm owner-
ship structures such as share of foreign capital, rm ownership type such as
public/private ownership, and other rm-specic characteristics such as employ-
ment size and rm age. Institutional and policy environment is also an important
factor affecting the ow and effectiveness of FDI (see e.g. Globerman and
Shapiro, 2002). However, the limited availability of spatially disaggregated insti-
tutional and policy environment data constrains the rm-level analyses incorporat-
ing such variables.
Therefore, this paper focuses on the survival duration of Vietnamese MNE by
investigating a wide range of its potential determinants and paying particular at-
tention to the ownership structure of rms and the performance of local govern-
ments. We combine the rm-level data of Vietnamese MNE for 12 consecutive
years from 2000 to 2011 and the annual survey on provincial competitiveness.
The dataset covers the period from the countrysrst laws on foreign investment
to its WTO accession and 5 years from the accession. This rm-level MNE dataset
is virtually a census dataset and covers almost all the MNE that existed in Vietnam
during the period. This frees us from sample selection bias and enables us to
directly interpret the population of MNE and, thus, engage in very convincing
policy discussions. Because we use indices for the performance of the local
1 The amount of capital stock is converted to the 2010 value with a GDP deator available at the
World Economic Outlook Database of the International Monetary Fund (http://www.imf.org/exter-
nal/pubs/ft/weo/2013/02/weodata/index.aspx).
ASIAN ECONOMIC JOURNAL 84
© 2017 East Asian Economic Association and John Wiley & Sons Australia, Ltd

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