Conclusions and policy implications
By applying CMP method, this study examines the simultaneous relationship among
ownership concentration, innovation and firm performance of the SMEs in Vietnam from
2011 to 2015. The findings indicate that: there is no impact of ownership concentration on
innovation, but it has a positive impact on sales growth; innovation positively affects firm
performance; and there exists a positively reverse causality from sales growth to innovation.
Given the empirical results and the Vietnam SME context, we propose that the
government should support SMEs’ innovation and manufacturing activities to enhance
their performance and innovation outcome by focusing on solving the most severe
constraints. In particular, SMEs should be given easier access to capital via loans with
preferred interest or trust loans without collateral to improve technology and carry out more
innovation activities. Moreover, to solve the problem of shortage of skilled labor force, there
should be training programs for the labor force tailored for SMEs as well as training
programs for SME leaders about management, quality and technology improvement
programs at SMEs. Finally, the reduction of unnecessary administrative procedure should
be the authority’s priority in the set of measures to support SME development.
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Ownership feature and firm
performance via corporate
innovation performance
Does it really matter for Vietnamese SMEs?
Dung Nguyen and Hoai Nguyen
University of Economics Ho Chi Minh City, Ho Chi Minh City, Vietnam, and
Kien S. Nguyen
School of Economics, University of Economics Ho Chi Minh City,
Ho Chi Minh City, Vietnam and
Economics and Finance, RMIT International University,
Ho Chi Minh City, Vietnam
Abstract
Purpose – The purpose of this paper is to investigate the simultaneous relationship among ownership
concentration, innovation and firm performance of the small- and medium-sized enterprises (SMEs) in Vietnam
during the 2011–2015. By employing a Conditional Mixed Process (CMP) model, the findings show that: there is no
impact of ownership concentration on innovation, but it has a positive impact on sales growth; innovation
positively affects firm performance; and there exists a positively reverse causality from sales growth to innovation.
Design/methodology/approach – In this study, the authors propose the adaption of CMP model (Roodman,
2011). The nature of the first stage dependent variable – Innovation – is a binary one while the dependent variable
Performance is continuous. Therefore, a model that can adapt the binary nature of the dependent variable and
perform the estimation of a system of equations such as CMP model is preferred. The CMP framework is
substantially that of seemingly unrelated regression, but with application in a larger scope. This approach is based
on a “simulated maximum likelihood method” suggested by Geweke–Hajivassiliou–Keane algorithm.
Findings – By applying CMP method, this study examines the simultaneous relationship among ownership
concentration, innovation and firm performance of the SMEs in Vietnam from 2011 to 2015. The findings
indicate that: there is no impact of ownership concentration on innovation, but it has a positive impact on
sales growth; innovation positively affects firm performance; and there exists a positively reverse causality
from sales growth to innovation.
Research limitations/implications – In spite of the efforts to explore the simultaneous relationship
among ownership concentration, innovation and firm performance of the SMEs in Vietnam, the study still has
some limitations which are promising further research directions. First, the SME surveys by Central Institute
for Economic Management do not have much information about other types of ownership including
state-owned and foreign ownership. Therefore, possible further studies with richer data sets may explore the
impacts of different types of ownership on firm innovation and performance. Second, other types of
innovation such as organizational innovation, marketing innovation can also be investigated in further
studies in a richer data set for the case of Vietnam SMEs.
Originality/value – The findings show that: there is no impact of ownership concentration on innovation,
but it has a positive impact on sales growth; innovation positively affects firm performance; and there exists a
positively reverse causality from sales growth to innovation. The policy implications insist on facilitating
SMEs with easier access to capital via loans with preferred interest or trust loans without collateral, training
programs for the labor force and SME leaders, and reduction of unnecessary administrative procedure.
Keywords Innovation, Firm performance, Ownership concentration
Paper type Research paper
Journal of Asian Business and
Economic Studies
Vol. 25 No. 2, 2018
pp. 239-250
Emerald Publishing Limited
2515-964X
DOI 10.1108/JABES-10-2018-0078
Received 16 October 2018
Accepted 16 October 2018
The current issue and full text archive of this journal is available on Emerald Insight at:
www.emeraldinsight.com/2515-964X.htm
© Dung Nguyen, Hoai Nguyen and Kien S. Nguyen. Published in Journal of Asian Business and
Economic Studies. Published by Emerald Publishing Limited. This article is published under the
Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and
create derivative works of this article (for both commercial and non-commercial purposes), subject to
full attribution to the original publication and authors. The full terms of this licence may be seen at
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1. Introduction
The Vietnamese economy is making a progress toward a more knowledge-intensive type
and toward the fourth industrial revolution. The engine of this process largely depends on
millions of enterprises, mostly small- and medium-sized enterprises (SMEs), adding up to a
total of 396,809 (December 31, 2014) and accounting for approximately 98.63 percent of the
total number of enterprises in Vietnam (GSO, 2016a, b). SMEs play an important role in the
Vietnamese economy by creating jobs and contributing significantly to GDP growth.
However, SMEs usually encounter problems of low productivity, low profitability and so on
(Ministry of Planning and Investment, 2014). To enhance competitiveness of SMEs, one
potential solution is to boost innovation in both products and processes to gain the market
place, and SMEs are also perceived with their central role in innovation such as the case of
start-ups in Silicon Valley in the USA (Audretsch, 2002; Love and Roper, 2015).
There has been a large body of literature on the topic innovation at firm level. Many
studies concentrate on the impact of innovation on firm performance (Goedhuys and
Veugelers, 2012; Hölzl and Friesenbichler, 2010; Kannebley et al., 2010). Other studies
examine the role of ownership features in corporate innovation (Belloc, 2012;
Chen et al., 2011; Choi et al., 2011, 2012; Song et al., 2015). However, to the best of our
knowledge, there is hardly any research on the three-party relationship: innovation, firm
performance and ownership characteristics. Thus, to fill the research gap, the specific
objectives of this study are to: examine whether there is an impact from ownership
concentration to innovation, or to firm performance; investigate the impact of innovation
on firm performance; and explore whether there is a reverse causality from firm
performance to innovation.
This study makes some contribution to the literature on corporate innovation in three
aspects. First, there are few studies on the relationship among three agents: innovation, firm
performance and ownership concentration; therefore, this study contributes to the literature
as one of the few focusing extensively on this issue. Second, the study is also the first in this
research direction in the context of a developing country, particularly Vietnam, which will
possibly enrich the literature on the heterogeneity of innovation activities in developing
nations compared to developed ones. Third, with regard to research method, the study
makes a major contribution by using Conditional Mixed Process (CMP) model (Roodman,
2011). The advantage of CMP model is that it includes “Mixed process” which suggests that
the types of dependent variables can vary in different equations, giving more flexibility in
model specification.
The remaining of the study is organized as follows. Section 2 contains the literature
review on the definition and the nexus among innovation, firm performance, ownership
characteristics and some background on Vietnam SMEs with respect to these areas.
Section 3 describes the empirical strategy and data sources. In Section 4, we discuss main
estimation results. Finally, conclusions and policy implications are presented in Section 5.
2. Literature review and background
2.1 The concept of innovation
Innovation at firm level is a widely discussed topic in the literature, especially in recent
years when there is growing concern of the world economy toward the knowledge economy
(Chen et al., 2014; Choi et al., 2012; Rodil et al., 2015). Innovation at firm level can be defined
in various ways, but the most popular definition is based on OECD (2005) which classifies
two kinds of innovation: product innovation and process innovation. Product innovation is
“the implementation/commercialisation of a product with improved performance
characteristics such as to deliver objectively new or improved services to the consumer”.
Process innovation is “the implementation/adoption of new or significantly improved
production or delivery methods. It may involve changes in equipment, human resources,
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working methods or a combination of these.” The definition highlights the creation of
something new in terms of firms’ products, services or adaptation of new operation
procedure. Moreover, innovation at firm level can be classified into two groups: innovation
input and innovation output. Innovation input, usually measured by R&D expenditure,
refers to the resources for innovation activities to take place while innovation output
(new products/new processes) refers to the outcome of this process (Coad et al., 2016;
Deschryvere, 2014; Rodil et al., 2015). In this study, both innovation input and innovation
output are covered to explore the entire nature of innovation.
2.2 Overview of performance, innovation and ownership of Vietnamese SMEs
Most Vietnam SMEs are characterized by low value added, labor intensiveness, limited
capital and inferior technology (MPI, 2014). However, there are some positive signs of
innovation development of SMEs in recent years. Innovation is considered a form of
diversification which enhances the possibility of SME survival and the driving force of firm
dynamics in severe competition market (CIEM, 2016). The survey result by CIEM (2016)
shows that the percentage of SMEs introducing a new product increased fast between the
period 2011 and 2015, with the innovation rate being about 4 percent in 2011 and 23.8
percent in 2015. In terms of ownership, the majority of SMEs are domestic non-state
enterprises; as of 31 December 2014, the total number of domestic non-state enterprises is
385,586 SMEs, accounting for 97.2 percent of total SMEs in Vietnam, compared to 0.5 and
2.3 percent of SMEs being state owned and foreign owned, respectively (GSO, 2016b).
Moreover, according to CIEM (2016) and VCCI (2016), most domestic non-state enterprises
are actually household businesses, which have the characteristics of ownership
concentration belonging to some family members. Therefore, uncovering the relationship
among ownership characteristics, firm innovation and performance is an interesting course
of investigation to be wholly conducted in this study.
Moreover, a large proportion of SMEs have to face difficulties with growth. According to
the survey result of CIEM (2016), in 2015, 83 percent of interviewed companies experienced
challenges when doing business. The most important challenges for SMEs are the shortage
of capital and difficulty in accessing finance. The second largest constraint is the lack of
demand for current products, and the third one is too much competition. In the same survey,
the most popular constraint on introducing a new product is the lack of capital, followed by
insufficient technology and skilled labor, respectively. In the meantime, the report by VCCI
(2016) also highlights the obstacles about inspection burden of state agencies and
troublesome administrative procedures, which are threatening to slow down SME
development.
2.3 Ownership concentration and corporate innovation
According to the agency theory, there are common issues of different goals and interests as
well as conflicting risk preferences between two parties: principal (owner) and agent
(managers). In more details, shareholders pay more attention to the long-term growth of the
business, so they want to maximize the effectiveness of their investment. Managers, on the
other hand, focus more on short-term personal benefits and prestige ( Jensen and Meckling,
1976). Furthermore, shareholders tend to be risk-neutral due to their ability to diversify their
investment into a basket of firms while managers may be more risk-averse to secure their
position and income because they usually work for a single firm. Due to the difference in two
parties’ objectives, there are diverging ideas on firms’ strategic directions in general, and in
innovation activities in particular (Hoskisson et al., 2000; Song et al., 2015). Therefore, a more
concentrated ownership may be crucial for corporate innovation since it allows shareholders
to influence the firm’s management more effectively by using their voting control.
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Several empirical studies have found evidence in support of the positive association
between ownership concentration and innovation performance (Chen et al., 2014; Song et al.,
2015). Song et al. (2015), using data from 242 publicly traded companies in China, found that
high ratio of ownership concentration, which may allow shareholders to carefully monitor
the management behavior, may boost innovation performance. Chen et al. (2014), employing
data of 487 Chinese-listed firms in 2004–2005 and 475 ones in 2005–2006, revealed that the
nexus between ownership concentration and innovation follows an inverted U-shape with
innovation initially rising and then falling when ownership concentration rises.
Nevertheless, other studies suggest a negative association between the two concerned
variables. This is due to the conflict between dominant shareholders and small ones when
controlling ones may tend to exploit and extract firm benefit. For instance, they have the
tendency to assign their family members or acquaintances to top managing positions,
participate into self-beneficial trades possibly harmful to firms, or conduct personal and
political activities which bring no benefits to firms. Consequently, the shortage of resources
will deprive the innovation capacities (Chen and Huang, 2006; Minetti et al., 2015;
Morck et al., 2005; Young et al., 2008). Chen and Huang (2006) examined the impact of
employee stock ownership on R&D expenditures of Taiwanese information-technology
firms in 1996–2001. The findings show that there is a positive relationship between the
application of employee stock ownership (which means a decentralized ownership
concentration) and R&D expenses. Minetti et al. (2015), employing four waves of survey in
1997, 2000, 2003 and 2006 of 20,000 Italian firms, found that there is a negative impact of
ownership concentration on innovation, especially by reducing R&D expenditures.
Morck et al. (2005) also found that a few families owning a large domination of firm assets
may lower the rate of innovation.
Several studies found that there is no impact of ownership concentration on innovation
performance (Choi et al., 2011, 2012). Choi et al. (2011), using data from 548 Chinese firms,
established that ownership concentration does not affect managers’ behavior in innovation
performance. The explanation is probably due to the fact that many listed Chinese firms are
commonly immensely concentrated, and the market appears to be insensitive to differentiate
firms with respect to ownership concentration. Choi et al. (2012), employing the data set of
301 Korean firms, also found that there is no significant impact of ownership concentration
on firm innovation.
2.4 The impact of firm innovation on performance
Evolving as one of the most indispensable factors of firm growth, innovation has been
regarded as the priority strategy for corporate development and long-term progress. In
terms of strategic vision, innovation can be considered the valuable, and efficient instrument
for a firm to achieve sustainable development, maintain competitiveness and gain access
into new markets (Becheikh et al., 2006).
Research on the impact of firm’s innovation on firm growth is rich and diverse (Goedhuys
and Veugelers, 2012; Hölzl and Friesenbichler, 2010; Kannebley et al., 2010; Raffo et al., 2008;
Santi and Santoleri, 2016). In the case of SMEs, according to Subrahmanya (2011), SMEs are
regarded as the “driving forces” of the economy due to their extensive contributions with
respect to technological innovation, export enhancement and job creation. They are the engine
of technological progress and innovation activities (Acs and Audretsch, 1988). Acs et al.
suggested that SMEs have more innovation activities than large ones because they are more
flexible and easily adapt to adverse economic situations.
Empirical evidence on the impact of firm innovation on SMEs’ performance is rich with
the majority of studies finding evidence of the positive association between innovation and
SMEs’ performance (Acs and Audretsch, 1987, 1988; Hall et al., 2009; Jefferson et al., 2006;
Kasseeah, 2013). Hall et al. (2009), using data of Italian SMEs from the “Survey on
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Manufacturing Firms” during the period 1995–2003, found that process and product
innovation both affect positively firm’s productivity, notably the case of process innovation.
Jefferson et al. examined the impact of R&D intensity on new product sales using the
knowledge production function and panel data of China’s large and medium-sized
manufacturing enterprises which have intensive R&D expenditures. The results show that
more expenses on R&D activities lead to more new product sales, especially in the
pharmaceutical and telecommunications equipment industries. Kasseeah (2013)
investigated the linkage between innovation and corporate performance in SMEs in
Mauritius. The results reveal that innovation positively affects firm performance. Therefore,
the government should support SMEs to invest more on innovation activities which may
lead to productivity improvement and diversification.
2.5 The impact of firm performance on innovation
The impact of firm performance on innovation has also been investigated as one of the
popular determinants of firm innovation (Adeyeye et al., 2016; Bhattacharya and Bloch,
2004; Choi et al., 2012; Chuluun et al., 2017; Rogers, 2004; Schubert and Andersson, 2015).
According to Mueller (1967), when a firm’s sales rise, it will have more confidence and
ability to invest in uncertain R&D projects; it will also have more patience to wait
for the benefit that these projects may bring about. Thus, firm growth is possibly
contributory to innovation activities. However, empirical evidence about the role of firm
performance on innovation is rather fragmented. Some studies found the positive impact of
firm growth on innovation activities (Choi et al., 2012; Chuluun et al., 2017; Rogers, 2004).
Rogers (2004), using the sample of manufacturing firms with more than 100 employees in
Australia, established that there is a positive influence of sales growth on innovation. Choi
et al. (2012) also found evidence in support of this relationship with the data set of 301
Korean firms. Likewise, Chuluun et al. (2017) found that R&D expenditure is associated with
higher previous sales growth with the sample of 3,838 companies in the S&P 1,500 Index
during the period 1996–2013.
Other studies did not find evidence of this relationship (Adeyeye et al., 2016;
Bhattacharya and Bloch, 2004; Schubert and Andersson, 2015). Bhattacharya and Bloch
(2004) did not find evidence of the influence of sales growth on innovation in the case of
Australian manufacturing SMEs in the 1997–1998 period. Similarly, Schubert and
Andersson (2015), using data from three rounds of Swedish Community Innovation Survey
in the period from 2004 to 2008, reported that sales growth has no impact on innovation.
Adeyeye et al. (2016), based on the data collected in the Nigerian Innovation Survey 2008,
also suggested that firm turnover does not contribute to the innovative performance.
3. Research method and data
3.1 Research method
To explore the possible linkages among ownership, innovation and firm performance: the
impact of ownership concentration on corporate innovative performance; the contribution
from innovative activities to corporate performance; and the reverse causality from
performance to innovation, we propose the following system of equations (Choi et al., 2012;
Coad et al., 2016; Love et al., 2009):
Perf ormanceit ¼ a1itþb11Innovationitþb12Ownership_concentrationit
þb13Controlitþb14Industryitþeit (1)
Innovationit ¼ a2itþb21Perf ormanceit1þb22Ownership_concentrationit
þb23Controlitþb24Industryitþeit (2)
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performance
where Performance is the log of real revenue from sales (adjusted for inflation) of
firm i in year t. α is a constant term. Innovation is a dummy variable indicating
whether innovative activities take place at firm i at time t or not. Innovation
activities include both innovation input (R&D expenditure) and innovation output
(product innovation and process innovation). Regarding innovation input, we use R&D
expenditure information obtained from the question “How much was actually invested
(million VND) in Research and development (R&D)?” With respect to product innovation,
we use the information obtained from the question “Has the firm introduced new product
groups since last survey?” and “Has the firm made any improvements of existing
products since last survey?” For process innovation, information is gathered from
the question “Has the firm introduced new production processes/new technology since
last survey?”
Ownership concentration refers to the concentration of ownership, measured by the
percentage of ownership of the largest owner/shareholder which is derived from
the question “If the firm has multiple ownership, what is the ownership percentage of the
largest owner/shareholder?” Our source of data, SME surveys by Central Institute for
Economic Management (CIEM), covers mainly non-state domestic enterprises (including
“Private, Partnership, Collective/Cooperative, Limited liability company, and Joint stock
company without state capital”). The information about other types of ownership such as
state-owned and foreign ownership is too limited for economic modeling, which leaves room
for further research with a richer data set.
Control is the vector of firm characteristics including firm age, total employees, the
network of an SME which represents its social capital and the government assistance for
the SME (Coad et al., 2016; Kasseeah, 2013; Santi and Santoleri, 2016). We also include the
lagged log of real revenue from sales to account for the time lag of innovation in response
to the growth of sales, and also as a way to partially explore the reverse causality
from growth of sales to innovation. Finally, Industry is the sector dummies for each
two-digit sector of the manufacturing industry that the SME belongs to (Kasseeah, 2013;
Santi and Santoleri, 2016). Detailed definition and measurement of all variables are
presented in Table AI.
In the proposed systems of equations, the coefficient β22 captures the impact of
ownership concentration on corporate innovative performance, the coefficient β11 captures
the contribution from innovative activities to corporate performance, and the coefficient β21
captures the reverse causality from performance to innovation; we account for the reverse
causality of performance to innovation also as a means to control for possible endogeneity
issue arising from potential reverse causality from performance to innovation.
In this study, we propose the adaption of CMP model (Roodman, 2011). The nature of
the dependent variable Innovation is a binary one while the dependent variable
Performance is continuous. Therefore, a model that can adapt the binary nature of the
dependent variable and perform the estimation of a system of equations such as CMP
model is preferred. The CMP framework is substantially that of seemingly unrelated
regression (SUR), but with application in a larger scope. This approach is based on a
“simulated maximum likelihood method” suggested by Geweke–Hajivassiliou–Keane
algorithm. The advantage of CMP model is that it includes “Mixed process” which
suggests that the types of dependent variables can vary in different equations, giving
more flexibility in model specification. In particular, 2SLS, IV-Tobit, IV-probit, probit with
Heckman selection, SUR, etc., and different combination of them are entirely feasibly
estimated using the CMP model (Roodman, 2011). So, we specify the dependent variable
Performance as continuous in Equation (1) and Innovation as a binary dependent variable
in Equation (2) estimated by probit model. In Stata, we can use the user-written command
CMP to estimate the CMP model.
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3.2 Data
The study will explore the relationship among three agents including ownership feature,
corporate innovation and firm performance during the period from 2011 to 2015 based on
data from the small and medium enterprise (SME) survey conducted by CIEM of the
Ministry of Planning and Investment (MPI) and other organizations in Vietnam in
collaboration with University of Copenhagen and The United Nations University World
Institute for Development Economics Research. This survey is conducted every two years
from 2005. It is tempting to extend the time coverage of the sample; however, only from
the year 2011 can we obtain detailed information about ownership concentration from the
questionnaire. Therefore, we construct a panel only for the period from 2011 to 2015.
Moreover, we construct a balanced panel of entirely manufacturing SMEs. In particular,
only SMEs belonging to manufacturing sectors are included, and firms having data for all
three waves of survey from 2011 to 2015 are selected.
Table AII presents the correlation matrix of main variables. We can find that there is no
strong correlation among variables, which implies we can estimate the full model without
much concern about the problem of muticollinearity.
4. Findings and discussion
Table I presents the summary statistics. Over the 2011–2015 period, there are nearly
44 percent of SMEs performed innovation activities including having R&D expenditure or
introduction of new products/improvement of existing products or new production
processes/new technology. The ratio indicates the dynamic of SMEs in their business to
compete in an increasingly competitive market. The mean percentage of ownership of the
largest owner/shareholder is approximately 59 percent, which reveals a relatively high level
of concentration. A typical SME has an average of 16 years in business and the mean
number of 15 employees. Only 8 percent of SMEs participates into at least one business
association, which partially indicates the low degree of social capital. Moreover, only
approximately 11 percent receive government assistance.
Table II shows the CMP estimation of the simultaneous relationship among ownership
concentration, innovation and firm performance. There are three major findings.
First, the results indicate that there is no impact from ownership concentration to
innovation, but it has a positive impact on sales growth. The findings are in line with
previous studies by Choi et al. (2011, 2012) which also found that concentrated ownership
does not play any role in affecting the management’s decision to undertake innovation
activities. The possible explanation may be that larger shareholders may have other
concerns rather than firm innovation activities; they tend to focus on firm sales growth to
gain instant benefit (shown by a significantly positive impact on sales growth).
Second, there is a positive impact of innovation on firm growth, indicated by the positively
statistically significant coefficient of innovation variable in the sales growth regression.
Variables Observations Mean SD Min. Max.
Sales growth (log) 5,052 13.698 1.613 8.155 22.836
Innovation 5,054 0.437 0.496 0 1
Ownership concentration 777 58.650 17.044 1 99
Firm age 5,054 16.006 9.585 2 61
Firm age (log) 5,054 2.608 0.591 0.693 4.111
Firm size 5,054 14.935 29.353 1 300
Firm size (log) 5,054 1.887 1.133 0 5.704
Network 5,054 0.083 0.277 0 1
Government assistance 5,054 0.112 0.316 0 1
Table I.
Summary statistics
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The findings are consistent with the majority of previous studies such as Hall et al. (2009),
Jefferson et al. (2006) and Kasseeah (2013). The results confirm the significant role of
innovation as an engine of growth in the case of Vietnamese manufacturing SMEs. Innovation
supports SMEs’ efforts in diversification; as a result, they can enhance their competitiveness.
Third, there exists positively reverse causality from sales growth to innovation.
The findings are consistent with previous studies by Choi et al. (2012), Chuluun et al. (2017)
and Rogers (2004). The positive impact of lagged sales growth on innovation performance
may suggest that firm growth would accumulate more resources for innovation activities to
carry out because the nature of innovation is a kind of capital-intensive activity. To some
extent, the above results support the argument of the vicious circle: SMEs with poor
performance tend to have inadequate resources for innovation activities, which in turn leads
to poor firm performance, and weak firm performance will lead to weak innovation in the
future. SMEs getting stuck in the vicious circle results in less productive operation and poor
competition in the market.
Regarding control variables, there are negative impacts of firm age and size on
innovation performance, which means that smaller and younger SMEs have more
innovation activities than older and lager ones. The findings indicate the activeness of
smaller and younger SMEs. Compared to larger and older ones, newly established SMEs
have the tendency to create new products to gain the market; moreover, these new start-ups
often display more enthusiasm and commitment to carrying out innovation activities.
In the sales growth equation, firm size is found to be positively associated with firm sales
growth, which indicates that bigger SMEs tend to growth faster. Vietnamese SMEs usually
concentrate on traditional and long-time customers to do business with. Therefore, bigger
enterprises have a large enough market to sustain better growth record compared to smaller
ones which have to compete in a crowded market. The result may also imply that the
economy of scale plays an important role in this setting; larger SMEs can reduce cost to gain
the cost advantage when increasing output, which in turn helps raise sales growth.
This finding is in line with previous studies by Santi and Santoleri (2016) in the case of
Chilean firms or Kasseeah (2013) in the context of Mauritius.
Firm network and government assistance both contribute positively to innovation
performance. Participation in a network can help SMEs access information and technology
which helps enhance their innovation outcome. Furthermore, to carry out an innovation
activity, within the situation of SMEs characterized by the lack of capital, technology and
human resources, they need a lot of support from the government. This study shows that
firms with any government assistance ( financial, technical assistance or other types of
government assistance) have more innovation activities than the unsupported ones.
Variables Innovation Sales growth (log)
Innovation 0.799*** (0.124)
Lagged Sales growth (log) 0.327*** (0.059)
Ownership concentration −0.004 (0.003) 0.010*** (0.002)
Firm age (log) −0.258** (0.121) 0.012 (0.065)
Firm size (log) −0.224*** (0.082) 1.013*** (0.035)
Network 0.388*** (0.145) −0.054 (0.087)
Government assistance 0.720*** (0.159) −0.140 (0.092)
Industry (dummies) Yes Yes
Cons. −3.625*** (1.177) 10.900*** (0.703)
LR χ2 799.14
Prob W χ2 0.0000
Number of observations 776
Notes: Standard errors are in parentheses. *,**,***Significant at 10, 5 and 1 percent, respectively
Table II.
CMP estimation of the
simultaneous
relationship among
ownership
concentration,
innovation and firm
performance
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5. Conclusions and policy implications
By applying CMP method, this study examines the simultaneous relationship among
ownership concentration, innovation and firm performance of the SMEs in Vietnam from
2011 to 2015. The findings indicate that: there is no impact of ownership concentration on
innovation, but it has a positive impact on sales growth; innovation positively affects firm
performance; and there exists a positively reverse causality from sales growth to innovation.
Given the empirical results and the Vietnam SME context, we propose that the
government should support SMEs’ innovation and manufacturing activities to enhance
their performance and innovation outcome by focusing on solving the most severe
constraints. In particular, SMEs should be given easier access to capital via loans with
preferred interest or trust loans without collateral to improve technology and carry out more
innovation activities. Moreover, to solve the problem of shortage of skilled labor force, there
should be training programs for the labor force tailored for SMEs as well as training
programs for SME leaders about management, quality and technology improvement
programs at SMEs. Finally, the reduction of unnecessary administrative procedure should
be the authority’s priority in the set of measures to support SME development.
6. Limitation and further studies
In spite of our efforts to explore the simultaneous relationship among ownership
concentration, innovation and firm performance of the SMEs in Vietnam, the study still has
some limitations which are promising further research directions. First, the SME surveys by
CIEM do not have much information about other types of ownership including state-owned
and foreign ownership. Therefore, possible further studies with richer data sets may explore
the impacts of different types of ownership on firm innovation and performance. Second,
other types of innovation such as organizational innovation, marketing innovation can also
be investigated in further studies in a richer data set for the case of Vietnam SMEs.
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performance
Appendix
Corresponding author
Kien S. Nguyen can be contacted at: kien.ns@vnp.edu.vn
Variables Definitions
Dependent variable
Sales growth (log) Log of real revenue from sales (adjusted for inflation)
Innovation Dummy variable, ¼ 1 if the SME had R&D expenditure, or introduced new products/
made improvements of existing products, or introduced new production processes/new
technology. The information is obtained from the following questions of the questionnaire:
R&D expenditure: “How much was actually invested (million VND) in Research and
development (R&D)”
Product innovation: “Has the firm introduced new product groups since last survey?
Answer: Yes (1), No (2)”
“Has the firm made any improvements of existing products since last survey? Answer:
Yes (1), No (2)”
Process innovation: “Has the firm introduced new production processes/new technology
since last survey? Answer: Yes (1), No (2)”
Independent variables
Ownership
concentration
Percentage of ownership of the largest owner/shareholder. The information is obtained
from the following question of the questionnaire:
“If the firm has multiple ownership, what is the ownership percentage of the largest
owner/shareholder?”
Firm age (log) Log of total years of the SME in operation
Firm size (log) Log of total employees of the SME
Network Dummy variable, ¼ 1 if the SME participates into at least 1 business association
Government
assistance
Dummy variable, ¼ 1 if the SME receives any government assistance ( financial,
technical assistance, or other types of government assistance)
Industry The sector dummies for each two-digit sector of the manufacturing industry that the
SME belongs to
Table AI.
Variable definitions
and summary
statistics
Sales
growth (log) Innovation
Ownership
concentration
Firm
age (log)
Firm
size (log) Network
Government
assistance
Sales growth (log) 1
Innovation 0.171 1
Ownership
concentration 0.079 −0.013 1
Firm age (log) 0.027 −0.069 −0.131 1
Firm size (log) 0.749 0.132 −0.037 0.081 1
Network 0.117 0.112 −0.042 0.112 0.157 1
Government
assistance 0.083 0.183 −0.047 0.029 0.106 0.111 1
Table AII.
Correlation matrix
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