At the end of 2019, Binh Dinh province has attracted 80
projects with the registered capital of 756,9 million USD, the
average capital per project is 9,45 million USD. This is much lower
than Quang Nam (28,1 million USD) and Quang Ngai (30,24 million
USD).
From 1997 to 2019, Binh Dinh province has attracted the
registered capital of 736,2 million USD. In which, implemented
capital reached 227,48 million USD, equal 30,9% of the registered
capital. This shows that the amount of FDI in Binh Dinh province is
very low in terms of capital size and average capital per project.
Besides, the ratio of implemented capital to registered capital is too
low.
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tudents and researchers in learning
and research.
6. Thesis structure
Thesis structure includes 5 chapters:
5
Chapter 1. Overview of the studieson the relationship between
FDI and economic growth.
Chapter 2. Literature review on the relationship between FDI
and economic growth.
Chapter 3. Research Methodology
Chapter 4. Research results
Chapter 5. Policy implications
6
CHAPTER 1. OVERVIEW OF THE STUDIES ON THE
RELATIONSHIP BETWEEN FDI AND ECONOMIC
GROWTH
1.1. Studies on the relationship between FDI and economic
growth in term of investment capital aspect
1.1.1. Related studies
1.1.2. Comments
1.2. Studies on the relationship between FDI and economic
growth in term of absorptive capacity aspect
1.2.1. Related studies
1.2.2. Comments
1.3. Research gaps and research directions
1.3.1. Research gaps
- The literature review shows that a lot of studies has been
conducted to research the relationship between FDI and economic
growth in Vietnam but the studies examined this relationship at a
specific locality are still limited.
- Besides, most studies only stop at answering the question,
whether or not the relationship between FDI and growth. These
studies have not solved the question, how to promote the role of local
factors to increase the benefits of FDI capital, thereby promoting
economic growth.
- At the same time, up to now, no author has thoroughly and
deeply studied this issue in specific conditions of Binh Dinh
province. Whereas, most related studies apply qualitative methods to
analysis secondary data and assess the role of FDI in economic
growth. For instance, the study of Ha Thanh Viet (2011) or Nguyen
Duy Thuc (2007) is one of a few studies using both qualitative and
quantitative methods to research the economic growth model in Binh
Dinh province. The conclusion in this study also mentioned the
content of attracting FDI. In order to achieve the economic growth
goals, Binh Dinh province not only must maintain a high growth rate
but also increase foreign investment attraction. However, this
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proposal is only sentimental and there is no specific scientific basis.
1.3.2. Research directions
Based on the research gaps, the study will clarify the
relationship of FDI and economic growth as well as the role of some
key local factors in this relationship in terms of investment capital
and absorption capacity aspects by using both descriptive statistics
method and regression method, specifically as follows:
- From investment capital perspective, providing empirical
evidence for the relationship between FDI and economic growth at
the local level, Binh Dinh province. Besides, the previous research
results are not really heterogeneous so this research results will
contribute consolidating for the arguments about this relationship. At
the same time, determining the threshold for FDI to promote the role
of this capital in economic growth (based on threshold effect in the
study of Nguyen Quynh Tho (2017); and Nguyena and Tob, (2017)).
- From absorptive capacity perspective, in the research model
for the relationship between FDI and economic growth, the author
takes into the interaction variables with FDI. At the same time,
through a questionnaire survey of FDI enterprises, experts and
regulators in Binh Dinh to identify factors that play the role as
absorptive factors in the locality. These factors are very important for
the host countries in promoting the positive role of FDI in economic
growth. This has been confirmed by Nguyen et al. (2009), they
believed that in order to gain benefits from FDI, the host countries
must create strong absorptive capacity.
8
Chapter 2. LITERATURE REVIEW ON THE RELATIONSHIP
BETWEEN FDI AND ECONOMIC GROWTH
2.1. Theories for the relationship between FDI and economic
growth
2.1.1. Several concepts
2.1.1.1. FDI
2.1.1.2. Economic growth
2.1.2. The relationship between FDI and economic growth
Nowbutsing (2009) has developed a model about the
relationship between FDI and economic growth through the direct
effects, indirect effects (spillover) and feedback effects. This is not
an one-way relationship, FDI and economic growth can interact with
each other.
Fig 2. 1 The relationship between FDI and economic growth
Source: Nowbutsing (2009)
Lately, Nguyen Minh Tien (2014) also outlined the nature of
this relationship through three channels of impacts. In which, (1) The
direct effects is considered through the investment capital
perspective; (2) The indirect effect is determined depending on the
absorptive capacity in the host countries through conditional factors;
(3) and vice versa, the effects of economic growth on FDI capital
(feedback effects).
Based on the above approach, the research content is evaluated
9
as a causal relationship of FDI and economic growth in both aspects
(investment capital and absorptive capacity) as follows:
- From investment capital perspective: FDI directly affects
economic growth, and vice versa economic growth also affects FDI.
- From absorptive capacity perspective, FDI indirectly impacts
on economic growth (spillover effects).
2.2. Theories
2.2.1. Economic growth and FDI theory
2.2.1.1. The classical theory of economic growth
2.2.1.2. Exogenous growth theory
2.2.1.3. Endogenous growth theory
2.2.1.4. The eclectic paradigm
2.2.2. Absorptive capacity theory
2.2.2.1. FDI absorptive capacity
Farkas (2012), Khordagui and Saleh (2013) show that
absorptive capacity is the ability that an economy can obtain the
benefits of FDI through spillover effects. The factors include human
capital, trade openness, quality of infrastructure and institutional
quality. These are intermediate factors to help enhancing the
absorptive capacity in the host country.
According to Nguyen Khac Quoc Bao (2014), there are some
factors that not only impact on economic growth and attracting FDI
capital but also play the role as essential factors to help the economy
absorb the benefits of FDI. Therefore, the relationship between FDI
and economic growth is called the conditional relationship.
The above views show that factors represent FDI absorptive
capacity in the relationship with economic growth at local level is
understood as factors that impact on both economic growth and
attracting FDI. At the same time, these are essential factors that help
localities to increase benefits of this capital.
2.2.2.2. FDI absorptive capacity theory
10
Fig 2. 2 FDI absorptive process
Source: Nguyen, Duysters, Patterson, & Sander, 2009
Nguyen et al. (2009) showed that the benefits that FDI brings
to the host countries depend on the absorptive capacity. In which, the
absorptive capacity is considered on two level: Firstly, the absorptive
capacity of domestic enterprises is related to technology and labor
skills (this has also been confirmed by Cohen & Levinthal, 1990).
Secondly, the absorptive capacity of localities related to human
capital, institutional quality, financial system, infrastructure and
technology.
Fig 2. 3 Photosynthesis model and FDI absorptive capacity
Source: Nguyen et al. (2009)
Basically, photosynthesis model and absorptive capacity
11
theory explain the conditional relationship between FDI and
economic growth. In other words, the interaction between FDI and
absorptive factors create growth results for localities that receive
investment.
In addition, Findlay (1978) showed that FDI impacts on
economic growth depends on the conditions of the host country
including macroeconomic stability, investment policy, trade
openness and human capital.
2.3. Factors affect the relationship between of FDI and economic
growth
2.3.1. Human capital
2.3.2. Infrastructure
2.3.3. Institutional quality
2.3.4. Macroeconomic stability
2.3.5. Trade openness
2.3.6. The absorptive capacity of domestic firms
12
CHAPTER 3. RESEARCH METHODOLOGY
3.1. Research process
3.2. Analytical framework
Based on the synthesis of theories and relevant empirical
studies, and especially the model of Nowbutsing (2009), the author
built an analytical framework for the relationship of FDI and
economic growth as follows:
Figure 3.1. Analytical framework for the relationship between
FDI and economic growth
In which:
+ Evaluating the effects of FDI on economic growth, besides
foreign direct investment variable (FDI), three variable groups are
considered including absorptive capacity factors (A), interaction
variables (FDIxA), and control variables (B).
+ At the same time, determining the impact of economic
growth on FDI, the author uses the Granger - causality test.
In addition, analytical framework for absorptive capacity is
also proposed based on the theory and the studies of Findlay (1978);
Nguyen et al (2009); Tran Kim Cuong (2016). It is illustrated as
follows:
13
Figure 3.1. Analytical framework for FDI absorption
capacity
Source: summarization of the author
3.3. Research model
3.3.1. Research model
Regression model for assessing the impact of FDI on
economic growth is specifically written as follows:
Gt = β0 + β1FDIt + β2DIt + β3GIt + β4Lt + β5Ht + β6 FRt +
+β7FDIxHt+β8FDIxFRt +ut (3.2)
In which:
G: Local economic growth
FDI: Foreign direct investment in locality
DI: Private domestic investment in locality
GI: Public investment in locality
L: Labor
H: Human capital
FR: Infrastructure
FDIxH: FDI absorptive capacity depends on human capital
FDIxFR: FDI absorptive capacity depends on infrastructure
t: Subscript
β1, β2, β3, , β8: Regression coefficients
ut: Error model
14
3.3.2. Measurement variables
3.3.3. Research hypothesis
3.4. Data collection methods
3.4.1. Secondary data
Secondary data was collected between 1997 and 2019 from the
Statistical Yearbook, Statistical Office of Binh Dinh Province.
Therefore, data achieves the high reliability. After collecting data,
the study uses Eviews 9.0 software to estimate the regression model.
3.4.2. Primary data
3.4.2.1. Primary data collection process
3.4.2.2. Designing measurement scales and questionnaires
3.4.2.3. Data collection
Primary data was collected by interview method and sending
questionnaires directly and indirectly via email for the survey
subjects including:
(i) FDI enterprises are operating in Binh Dinh province (it is
taken from the list of FDI enterprises in database of the Investment
Promotion Center of Binh Dinh Province);
(ii) Experts/Regulators who are doing research/management
about issues related to the research topic of this thesis so they are
knowledge able about these issue. (Research Institute for Socio-
Economic Development, Education and training institutions,
department of science and technology/Investment Promotion Center,
Department of Planning and Investment, Management Board of
Economic Zones, Binh Dinh province People's Committee).
3.4.2.4. Research sample
3.5. Data analysis methods
3.5.1. Secondary data analysis
In order to estimate regression model, this study use ARDL
model - autoregressive distributed lag (Pesaran, Shin and Smith,
2001) to analysis the multivariate time series.
From Equation (3.2), the auto regressive distributed lag model
- ARDL with lag (p0, p1, p2, p3, p4 ... p8) for the empirical study (the
15
variables are converted to natural logarithms) as follows:
LGt = α + ∑ 𝛽
ୀଵ L𝐺௧ି + ∑ 𝛽ଵ
ଵ
ୀ L𝐹𝐷𝐼௧ି + ∑ 𝛽ଶ
ଶ
ୀ L𝐷𝐼௧ି +
∑ 𝛽ଷ
ଷ
ୀ L𝐺𝐼௧ି + ∑ 𝛽ସ
ସ
ୀ L𝐿௧ି+ ∑ 𝛽ହ
ହ
ୀ L𝐻௧ି+
∑ 𝛽
ୀ L𝐹𝑅௧ି + ∑ 𝛽
ୀ L𝐹𝐷𝐼𝑥𝐻௧ି + ∑ 𝛽଼
଼
ୀ L𝐹𝐷𝐼𝑥𝐹𝑅௧ି
+ut (3.3)
In which:
L𝐺௧ି, L𝐹𝐷𝐼௧ି , L𝐷𝐼௧ି,L𝐺𝐼௧ି , L𝐿௧ି,..., L𝐹𝐷𝐼𝑥𝐹𝑅௧ି௪: are the
stationary variable at the different lag.
3.5.2. Primary data analysis
Descriptive Statistics method is applied like statistics the
frequency and calculating the average values of the scale in order to
reflect the assessment of FDI enterprises, experts and regulators
according to different perspectives about the important role of local
factors on the relationship of FDI and economic growth, as well as
the situation of FDI absorptive capacity in locality. In which, 5-point
Likert Scales is used to assess criteria as follow: 1- Strongly
disagree; 2- Disagree; 3- Neither Agree nor disagree; 4- Agree; 5-
Strongly agree). The author uses the SPSS 22 software to analysis
data.
16
Chapter 4. RESEARCH RESULTS
4.1. The situation of FDI and economic growth in Binh Dinh
province
4.1.1. General introduction about potential and advantages of Binh
Dinh province
4.1.2. The situation of FDI in Binh Dinh province
4.1.2.1. FDI scale
At the end of 2019, Binh Dinh province has attracted 80
projects with the registered capital of 756,9 million USD, the
average capital per project is 9,45 million USD. This is much lower
than Quang Nam (28,1 million USD) and Quang Ngai (30,24 million
USD).
From 1997 to 2019, Binh Dinh province has attracted the
registered capital of 736,2 million USD. In which, implemented
capital reached 227,48 million USD, equal 30,9% of the registered
capital. This shows that the amount of FDI in Binh Dinh province is
very low in terms of capital size and average capital per project.
Besides, the ratio of implemented capital to registered capital is too
low.
4.1.2.2. Form of FDI
4.1.2.3. Capital structure of FDI
4.1.2.4. The contribution of FDI into the local economy
4.1.2.5. General assessment about FDI attraction activities in Binh
Dinh province
4.1.3. The situation of economic growth in Binh Dinh province
4.1.3.1. The scale and economic growth rate
4.1.3.2. The structure of economic growth according to the
production factors
4.1.3.3. General assessment of economic growth situation
- In terms of GRDP scale, recently the economic growth of
Binh Dinh province has an upward trend. However, GRDP growth
rate is slowing down, especially in recent years. Besides, the stability
of growth is low.
17
- In addition, in recent years, the economic growth of Binh
Dinh province has mainly been on the breadth, with low aggregate
productivity factor.
- Social labor productivity of Binh Dinh province has
improved but it is still low compared to the level of national average
productivity.
4.1.4. FDI and economic growth in Binh Dinh province
The linear trendline describes the correlation between FDI and
economic growth in the period 1997-2019. Figure 4.8 shows that
both lines have the same uptrend.
Fig 4.8 The linear trendline of the relationship between FDI and
GRDP
Source: Binh Dinh Statistical Yearbook
However, in fact, the relationship between FDI and economic
growth are also influenced by many different factors. This trend is
only considered from a qualitative perspective. Hence, it is necessary
to carry out quantitative analysis by regression model to have an
accurate conclusion about this relationship.
4.2. The results of descriptive statistics
0
10000
20000
30000
40000
50000
60000
0 500 1000
implemented FDI (million dong)
G
R
D
P(
m
ill
io
n
do
ng
)
-100
0
100
200
300
400
500
600
700
800
900
0 20000 40000 60000
GRDP (million dong)
im
pl
em
en
te
d
FD
I (
m
ill
io
n
do
ng
)
18
4.2.1. Descriptive statistics for sample survey
4.2.2. Results of statistical analysis of absorptive capacity factors
4.2.2.1. Factors play the important role in FDI absorptive capacity to
promote local economic growth.
4.2.2.2. The importance of absorptive capacity factors
The research results show that there are four factors which is
assessed be important including:
- Human capital: The average statistical value is 4.57 on a 5-
point scale (the 5-point is the most selected). It shows that experts
and regulators assess human capital as a very important factor in the
FDI absorptive capacity of locality. Similarly, the average statistical
value of this factor is also assessed by FDI enterprises at 4.37 (the 4-
point is the most selected).
- Institution quality: The average importance level of this
factor are assessed by experts and regulators at 4.48; FDI enterprises
assess the average level of 4.58 on a scale of 5 (the 4-point and 5-
point is the most selected). This shows that institutional quality of
locality has the important role in the FDI absorption.
- Infrastructure: Experts, regulators and FDI enterprises
appreciate the importance of local infrastructure (average level is 4.0
and 4.63 respectively; the 4-point and 5-point is the most selected).
This shows that they appreciate the role of this factor in improving
the FDI absorptive capacity of locality.
- The absorptive capacity of domestic firms: The average
statistical value is 4,18 and 4,0 respectively (the 4-point is the most
selected). It shows that experts, regulators and FDI enterprises
consider the absorptive capacity of domestic firms that is important
factors to promote the FDI absorptive capacity of locality.
4.3. The regressions results
4.3.1. Unit root tests
4.3.2. The regressions result of the relationship between FDI and
economic growth in term of investment capital aspect
4.3.2.1. The estimation results of ARDL model
19
Table 4.18 The estimation results of ARDL model
ARDL (1,0,0,1,1)
(Dependent variable LGRDP)
ARDL (1,0,0,1,0)
(Dependent variable Lg)
Variable Coefficient Variable Coefficient
LGRDP(-1) 1.004486*** Lg(-1) 0.028989
LFDI -0.003369 LFDI -0.148103
LDI 0.022381*** LDI 0.100557**
LGI 0.033142 LGI 0.117903
LGI(-1) 0.047022* LGI(-1) 0.313547**
LL -0.187512 LL -2.629938
LL(-1) -0.560477
C 1.988017** C 7.792510*
Note: *, **, *** significance at 10%, 5%, 1%
Source: Results from Eviews 9.0
The estimation results show that the coefficient of the LFDI
variable is not statistically significant in both cases. This means that
there is no empirical evidence for the impact of FDI on local
economic growth. In other words, this capital still has not shown a
really positive role for economic growth. This result is similar to
some previous studies (Belloumi, 2014; Umeora, 2013; Ho Thi
Thanh Mai and Pham Thi Thanh Thuy, 2015). The reason is that the
impact of FDI on economic growth depends on many factors
(Nguyen Phuc Canh and Pham Gia Quyen, 2016). Especially, in the
case of Binh Dinh, the amount of implemented capital is too low.
4.3.2.2. Estimating short and long-run relationships
4.3.2.3. The test of the suitability model
The research conduct to test the suitability and reliability of
20
model through Breusch - Godfrey Serial Correlation LM (testing for
autocorrelation), heteroskedasticity, Cusum (the stability of
residuals), and Ramsey RESET (function testing). The results show
that the research model is suitable and reliable.
4.3.2.4. Granger causality test
The results of Granger causality test show that economic
growth has a positive effect on FDI in Binh Dinh province. This
result contributes to streng then the theory and some previous
research perspective (Umeora, 2013; Nguyen Phu Tu & Huynh Cong
Minh, 2010; Nguyen Hong Ha, 2015).
At the same time, the results of Granger causality test confirm
that no empirical evidence was found for the impact of FDI on economic
growth in Binh Dinh province in the research period.
4.3.2.5. The results of FDI threshold estimation
As mentioned in the previous section, there is not enough
evidence to conclude that FDI affects economic growth in Binh Dinh
province when the implemented capital is still too low (FDI accounts
for only 0,61% of GRDP). To test this problem, the author applies
the optimal threshold level made by the research of Nguyen Quynh
Tho (2017) to check evidence in real conditions of Binh Dinh.
The results show that the optimal threshold value of FDI is
8.96% of GRDP. This confirms that FDI will have a positive impact
on economic growth when the capital scale is large enough, this
finding encourages local regulators to combine the FDI attraction and
accelerating FDI disbursement in order to promote economic growth.
4.3.3. The regressions result for the relationship between FDI and
economic growth in term of the absorptive capacity aspect
The research results for the relationship between FDI and
economic growth in terms of absorptive capacity in two cases of
dependent variables are GRDP and g as follows:
- The interaction variables between FDI and FR, FDI and H
are statistically significant in both long-term and short-term cases. This
finding shows that human capital and quality infrastructure are important
21
factors which locality should be achieved in order to gain benefits of
FDI, in which:
+ The interaction variable between FDI and FR has positive and
statistically significant in both cases. This shows that infrastructure is
really an important factor that promotes the spread of FDI in the
localities.
+ The coefficient of interaction variable between FDI and H has
negative and statistically significant in both cases. This shows that
high-quality of labor is an advantage for attracting FDI. However, in this
case, the labor quality in Binh Dinh province is low. This is a barrier
that limits the contribution of FDI to economic growth.
From the above conclusions, the study gives general
conclusion that locality need to have suitable policies to improve the
quality of human capital and infrastructure in attracting FDI.
Thereby, it creates real motivation for economic growth.
CHAPTER 5. POLICY IMPLICATIONS
5.1. Local orientation in attracting FDI and economic growth
5.1.1. Attracting FDI
5.1.2. Economic growth
5.2. Policy implications
5.2.1. Increasing FDI attraction and promoting FDI disbursement
- Improving the quality of enterprise support services,
especially supporting enterprises were granted investment licenses;
- Improving the state management for FDI;
- Announcing and improving the quality of planning activities;
- Innovating and improving the effectiveness of investment
promotion activities;
5.2.2. Improving absorptive capacity to increase the benefits of FDI
- Completing the construction of synchronous infrastructure;
- Improving the quality of human resources;
- Improving institutional quality of the locality;
22
- Supporting capacity development of enterprises.
5.2.3. Innovating economic growth model and enhancing
competitiveness in attracting FDI
- Enhancing the quality of labor productivity;
- The economic growth of Binh Dinh province needs to focus
on the quality and development of supporting industries;
- Binh Dinh Province should give incentives to attract FDI in
spearhead economic sectors that have advantages to create a
breakthrough in economic growth.
5.2.4. FDI attraction attaches with environmental protection goals
- Implementing the selection of investors and improving the
effectiveness of environmental management;
- Strengthening inspection, examination, and supervision.
5.2.5. FDI attraction attaches with the goal of connectivity with the
domestic economic sectors
- Enhancing the capacity of domestic enterprises in
management and technology.
- Binh Dinh province should be specific policies to strengthen
linkages of FDI enterprises to promote the spillover effect with
domestic enterprises.
5.3. Some recommendations
CONCLUSIONS
1. Achieved results
The relationship between FDI and economic growth has been
a topic of great interest to researchers and regulators to solve the
question how to enhance effectiveness in FDI attraction activities to
promote economic growth. Especially, for the first time, the
Politburo issued Resolution No. 50 on the orientation of perfecting
institutions and policies, improving the quality and efficiency of
foreign investment cooperation by 2030. This resolution plays a very
important role in the process of innovating the economic growth
23
model of Vietnam in general and Binh Dinh in particular. However,
in-depth studies on the relationship between FDI and economic
growth in Binh Dinh province are limited. Therefore, the study was
conducted to analyze and provide empirical evidence of this
relationship in the specific conditions of Binh Dinh province. It is the
basis for proposing policies to increase the FDI benefits in order to
promote economic growth. The result has achieved are as follows:
- Firstly, the thesis has systematized some important
theoretical issue
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