Applying the Panel Data Model to Analyze the Trade Balance between
Vietnam and RCEP Countries
THI ANH TUYET LE
International Economic Faculty,
Ho Chi Minh University of Banking,
56 Hoang Dieu 2 Street, Linh Chieu Ward, Thu Duc District,
Ho Chi Minh City, 700000,
VIETNAM
Abstract: The study was conducted to analyze the factors affecting the trade balance of Vietnam with RCEP
countries. By using data from 2013 to 2021 for each country in RCEP, the study applied a panel data model to
determine the impact direction as well as the level of impact of macroeconomic factors on the trade balance
between Vietnam and RCEP countries. Empirical results show that the factors of foreign direct investment of
RCEP countries into Vietnam (FDI), the gross domestic product of RCEP countries (GDP), Economic openness
of RCEP countries (OPEN), and the geographical distance between Vietnam and RCEP countries (DIS) both
have an impact on Vietnam's trade balance with RCEP countries. In particular, FDI and DIS have a positive
impact on Vietnam's trade balance with these countries. However, GDP and OPEN hurt Vietnam's trade
balance with RCEP countries. Based on those research results, the article also implies several policies to take
advantage of the advantages as well as limit the difficulties of RCEP to improve Vietnam's trade balance with
RCEP countries, including (1) Implementing policies to attract foreign investment more effectively for
developed countries in RCEP; (2) Develop a strategy to focus on promoting exports to potential markets in
RCEP; and (3) Implement policies to support Vietnamese enterprises in renewing equipment, renewing
technology, and renewing production processes to meet the quality and standards of the RCEP countries'
markets.
Key-Words: Trade balance, Vietnam, RCEP, panel data model, FTA, trade
Received: May 13, 2023. Revised: August 4, 2023. Accepted: August 27, 2023. Published: September 8, 2023.
1 Introduction
The Regional Comprehensive Economic Partnership
is a free trade agreement that includes 10 ASEAN
member countries and five countries with which
ASEAN has signed a free trade agreement,
including Australia, China, Japan, South Korea, and
New Zealand. The objective of the RCEP is to
integrate the various FTAs that the 10 ASEAN
countries have signed with Japan, Korea, Australia,
New Zealand, India, and China (ASEAN + 1) into a
comprehensive Agreement to maximize economic
benefits.
RCEP is forecasted to bring many new
opportunities for Vietnam such as helping to expand
the market and opening the economy to import
goods cheaper. RCEP facilitates business
development, removes trade barriers, removes tariff
barriers, facilitates goods access to new markets,
and attracts investment from other countries. RCEP
signed and put into practice will create opportunities
for Vietnamese businesses to boost exports to 14
markets in the bloc, with most consumers not too
fastidious (except Japan, Australia, and New
Zealand). The demand of countries in the bloc for
products in which Vietnam has strengths is
relatively high, especially tropical agricultural
products and processed foods. Besides, RCEP will
help Vietnam to import goods cheaper, especially
input materials for production. Because within
ASEAN alone, Vietnam's annual import of raw
materials and production equipment has exceeded
30 billion USD. In addition, Vietnam still has a
trade deficit from major markets such as China and
South Korea with input materials mainly from
important export industries such as electronics,
computers, textiles, and footwear.
However, during the past 20 years, Vietnam has
mainly had a trade deficit with RCEP countries, and
the deficit is increasing. This shows that Vietnam
may face many challenges to be able to take
advantage of the advantages brought by RCEP
because many of the partners in this FTA have a
similar product structure to Vietnam and have
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stronger competitiveness than Vietnam... The
markets in the bloc also have large differences in
terms of goods quality requirements and the risk of
trade disturbance and diversion. Therefore, in this
study, the author wants to analyze and determine
which factors affect Vietnam's trade balance with
these countries, as well as the impact trend of each
factor to have separate policy policies for each
country in the RCEP bloc. On that basis, the article
also hopes to suggest some policies to boost
Vietnam's exports and partly improve the trade
balance deficit between Vietnam and RCEP
countries.
2 Literature Review
In [1], the author analyzed the impact of free trade
areas in the Asia-Pacific region, including RCEP,
and the Trans-Pacific Partnership (TPP), [1]. This
study takes into account both the impact of the
removal of tariff and non-tariff barriers. The
simulation results of, [1], show that the removal of
non-tariff barriers significantly increases the
benefits of trade liberalization. In the case of RCEP,
the GDP of the RCEP economies would increase by
about 2.7% if tariff barriers were completely
removed. This figure will increase to 4.9% if the
removal of the tariff is accompanied by the removal
of non-tariff barriers. Low-income economies in the
RCEP will also benefit more from the removal of
tariffs as well as non-tariff barriers. In addition, the
potential benefits of RCEP are also significantly
larger than those of the TPP strategic partnership
agreement both in the simulation options with tariffs
as well as with non-tariff barriers.
In [2], authors used a probit regression empirical
model to assess whether businesses take advantage
of the benefits of existing Free Trade Agreements
(FTAs) in ASEAN, [2]. The results show that the
proportion of enterprises using FTAs in ASEAN is
not high, although there are very few restrictions on
the regulation of origin standards in ASEAN. The
reason is that the administrative costs of using FTAs
in ASEAN are large and administrative procedures
are not efficient, especially in Malaysia, the
Philippines, and Vietnam. In addition, research
shows that firms with larger labor sizes tend to use
FTAs more often, which suggests that existing
FTAs do not provide equal benefits. In addition,
FTAs within ASEAN countries seem to be used
selectively by industry: the textile and garment
industry uses the FTA effectively, but electrical,
electronic, and precision machinery and equipment
do not take advantage of FTAs; and only significant
reductions in preferential tax rates in FTAs can
encourage the use of FTAs by businesses in these
industries.
In [3], authors used the CGE model through
global trade analysis to assess the impact of five
FTA scenarios in East Asia: (1) ASEAN + China
FTA, (2) ASEAN + Korea FTA China, (3) ASEAN
+ Japan FTA, (4) ASEAN+3 FTA, and (5)
ASEAN+6 FTA, [3]. Two East Asian-scale FTA
scenarios, ASEAN+3 and ASEAN+6, bring greater
benefits to the world economy's income than any
other ASEAN+1 FTA scenario. Which, ASEAN+6
has a stronger influence than ASEAN+3. The
expected income of ASEAN member countries as a
percentage change from the base income level in
2017 also fluctuates greatly under the ASEAN+6
scenario: Thailand (12.8%), Vietnam (7.6%),
Malaysia (6.3%), and Singapore (5.4%).
Also using the CGE model and GTAP database,
[4], analyzed the impact of the ASEAN+1 free trade
area, the free trade area between Japan, China,
Korea, and RCEP, [4]. In addition to tariff
reductions, this study also takes into account the
impact of services trade liberalization and trade
facilitation. Simulation results show that RCEP
significantly increases the benefits of member
countries compared to the ASEAN+1 free trade
areas. Besides, the liberalization of trade in services
as well as the development of trade support services
also brings significant benefits to member countries,
especially in low-income economies in ASEAN.
In [5], authors surveyed the ASEAN+1 free trade
areas between ASEAN member states and six non-
ASEAN partners participating in the RCEP and
showed limited liberalization in the ASEAN+1 free
trade, [5]. In many ASEAN+1 free trade areas, less
than 90% of tariff lines are bound to reduce.
Besides, the ASEAN+1 free trade areas also have
different tariff reduction schedules with different
sensitive goods categories. Non-tariff barriers are
also mentioned generally or not in many ASEAN+1
free trade areas. The degree of liberalization of trade
in services is also relatively low in many ASEAN+1
free trade areas. Besides, the use of different rules of
origin in the ASEAN+1 free trade areas also
increases costs and makes it difficult to effectively
use the free trade areas. A recent study, [5], argues
that RCEP member countries should aim for a
comprehensive and high degree of intra-regional
trade liberalization. In addition to deeper tariff
reductions, members need to remove non-tariff
barriers, liberalize trade in services, develop trade
facilitation programs, and apply principles of shared
origin.
In [6], the authors analyze the determinants of
trade between countries participating in RCEP,
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focusing on border effects. Through the use of the
gravity model, the study has shown the existence of
border effect for countries participating in RCEP,
the study has an important reference value for
leaders of RCEP countries when negotiating.
By 2030, the RCEP could increase global income
by $209 billion yearly and commerce by $500
billion, according to [7]. The collapse in
international trade based on regulations could be
exemplified by the RCEP and CPTPP.
According to Shimizu (2021), the RCEP is the
region's first significant FTA, [8]. In ASEAN and
East Asia, the RCEP is quite important. Assuring
ASEAN's key position in East Asian economic
integration is ASEAN. In the face of increased
protectionism, as well as during and after the
epidemic, the AEC and RCEP will become more
crucial.
In [9], the author shows that RCEP's importance
is mostly economic. The agreement might serve as a
foundation for a trading system by harmonizing
regulations and streamlining commercial
transactions across the several overlapping and
varied FTAs in East Asia. However, given that
RCEP has the potential to establish a new paradigm,
its strategic components are also crucial, particularly
for the increasingly inward-looking United States.
This opinion gives a general overview of RCEP and
considers the partnership's potential effects on both
regional nations and the United States.
According to [10], intra-regional trade has a
greater impact on the RCEP than the EU does.
Instead, the "nominal" RCEP has a lot fewer
transactions than the "real" block of transactions.
The impact of intra-regional trade on the RCEP is
superior to that of the EU. As opposed to "real"
blocks of transactions, "nominal" RCEP intra-block
chain transactions are substantially smaller. There
are undeniable trade blocs between East Asia and
Taiwan, and the significance of these trade blocs is
growing. As a result of its unique geographic and
economic circumstances, Taiwan's trade flows with
East Asia are higher than the average relationship.
According to [11], the RCEP will boost China's
trade by 1.5%. The income in China will rise by 2.5
percent. Korea's income would rise by 0.6 percent
and its commerce will climb by $8 billion. China
will receive $214 billion in welfare, whereas South
Korea would receive $233.5 billion, or 3% of the
GDP of Korea. Additionally, the removal of post-
border barriers has a huge impact.
In summary, intra-regional trade in RCEP is a
large and complex issue related to a country's import
and export activities. Several studies have tried to
clarify the impact of trade liberalization
commitments in RCEP on the economies of the
countries in the bloc. Some other studies try to
demonstrate the positive role of RCEP for intra-
regional countries in trade with the US or EU. In
particular, these studies also used a lot of different
research methods such as the simulation method,
probit model, CGE model, and VAR model, and
also only focused on impact research of traditional
factors such as tariffs on countries' trade. However,
there is relatively little research on the intra-regional
trade balance in RCEP to better clarify intra-
regional trade trends in RCEP, as well as how RCEP
impacts are different for each country in RCEP.
Therefore, more empirical studies of each country in
the RCEP on the internal trade balance are needed
to better see the role of RCEP for each country in
the RCEP. For that purpose, the author conducts this
study to discover new factors representing the
economic characteristics of each country in the bloc
that have an impact on the trade balance between
Vietnam and RCEP countries in the context of
Global value-added chains tending to regionalize
after the impact of the covid-19 pandemic.
3 Methodology and Data
To assess the impact of economic characteristics of
countries on Vietnam's trade balance with countries
in RCEP. The author proposes a model to study the
factors affecting the trade balance of Vietnam with
countries in RCEP based on the following basic
factors:
The size of a country's economy or market size is
first determined by its gross domestic product
(GDP). According to economic theory, the larger
the economy or the higher the income, the higher
the demand for trade. Besides, a country with a high
GDP is often associated with people with high
income, so the requirements for the quality of goods
are also more difficult. Therefore, the economies of
RCEP members may have certain impacts on
Vietnam's trade balance with these countries.
However, the trend of impact of this factor depends
a lot on the ability of Vietnamese goods to meet
consumer demand. That is also the issue that needs
to be clarified in this study.
The economic openness coefficient (OPEN) of a
country is determined based on the value of imports,
exports, and foreign direct investment as a
percentage of GDP. In general, the higher a
country's economic openness, the more actively it
will remove barriers to trade, including tariffs and
non-tariff. As a result, trade with these countries
tends to be more favorable. However, to penetrate
these markets, exporting countries have to compete
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a lot, because any country can export to this market.
Therefore, the trend of the impact of the economic
openness factor of RCEP countries on the trade
balance between Vietnam and RCEP countries is
also unknown that needs to be clarified in this study.
Value of foreign direct investment capital of
RCEP countries into Vietnam (FDI): For developing
countries like Vietnam, FDI plays a very important
role. FDI is considered an additional source of
capital to improve domestic production capacity,
create jobs, increase income, create two-way trade
relations with the investing country, and contribute
to improving the trade balance with the investing
country. Therefore, the FDI factor of RCEP
countries is also expected to have positive effects on
the trade balance of Vietnam and RCEP countries.
Geographical distance (DIS) is the distance
between Vietnam and RCEP countries. The farther
the geographical distance, the higher the
transportation cost, and at the same time increases
the risk of damage, breakage, natural disaster, etc.
for goods during international transportation. That
will increase the cost of products, which can affect
imports and exports between countries, as well as
the trade balance of those countries. However,
countries that are far apart often have different
natural conditions, so national advantages are often
different. That means that the structure of import
and export products is very similar, so it is easier to
trade with each other to make up for each other's
shortfalls. Therefore, this is also a factor that is said
to need to be carefully considered to see the nature
of Vietnam's trade balance with RCEP countries
with different geographical characteristics.
As a result, the following model of variables
influencing the trade balance between Vietnam and
RCEP is suggested:
TB = β0 + β1GDP + β2FDI + β3 DIS + β4OPEN+ ε
The data description is presented in Table 1 as
follows:
Table 1. Data description
Variable
Interpretation
and unit
Expectation
sign
TB
The trade
balance between
Vietnam and
RCEP countries
by year (export
value divided by
import turnover)
GDP
Value Gross
Domestic
Product by Year
+/-
FDI
Value of foreign
direct
investment of
countries in
Vietnam
+/-
DIS
Distance from
the capital of
Vietnam the to
capital of other
countries in Km
+/-
OPEN
Trade openness
of countries by
year.
+/-
Source: Compiled by the author
The model's data is collected over time and by
country, so the author will apply a panel data
regression model. Because the variability in panel
data is large, the accuracy of the estimates is higher.
Thereby, the author can accurately quantify the
impact of factors affecting Vietnam's trade balance
in RCEP. The author will in turn perform pure
regression models (Pool OLS), fixed effects models
(FEM), and random effects models (REM). Then
the author will test the fit of each model through the
Hausman test. In addition, the author will also
perform other tests to find errors in the model to
have a solution for each model.
In the Pool OLS model, the coefficients do not
change in time and space, regardless of the
existence of specific spatial and temporal effects of
the data series. Therefore, the estimation results in
this model often give misleading and inefficient
results. The fixed effects model (FEM) overcomes
the drawback of POOL OLS, allowing it to
represent different combinations of all cross-
observations in the intercept. However, the
disadvantage of the FEM model is that it will
exclude time-invariant variables from the equation.
Similar to the FEM model, REM can determine the
different intercepts of each cross-unit and the
overall effect of the explanatory variables. However,
unlike FEM, in REM, the intercept coefficients of
each cross-unit are deduced from a common time
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and subject multiplier constant and a random
variable.
Therefore, FEM assumes that the objects and
intercepts are fixed, while REM assumes that the
cross-units differ due to error.
The question is when to use the FEM model?
When to use the REM model? Usually in this case,
the research will use the Hausman test to choose
between two models FEM and REM. Specifically,
Hausman tests whether there is an autocorrelation
between εi and the independent variables with the
hypothesis:
Ho: i and the independent variable are not correlated
H1: i and the independent variable are correlated
When P_value < 0.05, Ho is rejected, then εi and
the independent variable are correlated, allowing the
use of a fixed effects model. Otherwise, a random
effects model is used.
Finally, the study will apply the F test to assess
the fit of the model.
In particular, in this study to find and overcome
the defects of the model, the author also applies the
variance test, the series correlation test. If there is
variable variance or autocorrelation, the author will
perform the GLS model to overcome those defects
of the model and give the most accurate estimation
results possible.
4 Empirical Results and Discussion
4.1 Estimation by Regression Model using
Least Squares Method (POOL OLS)
Table 2. Estimation results by regression model
using least squares method (POOL OLS)
TB
Coef.
Std.
Err.
t
P>|t|
Beta
GDP
-3.43e-14
1.83e-14
-1.88
0.064
-.2111437
FDI
-.0000177
.0000243
-0.73
0.467
-.0785938
DIS
1.62e-06
.0000249
0.06
0.948
.0069411
OPEN
-.0019313
.0008699
-2.22
0.029
-.2644306
_cons
1.119498
.166105
6.74
0.000
Source: result from stata 14 sofware
The estimation results by regression model using
the least squares method (POOL OLS) are presented
in Table 2. Performing a test of the unchanged
variance of the POOL model gives the result that
Prob = 0.0002 is less than 0.05, so the POOL model
has a variable variance. This shows that the
estimation according to this POOL OLS model
gives misleading and inefficient results. Therefore,
the author continues to make estimates according to
the fixed effect model (FEM), and random effect
(REM).
4.2 Estimation According to Fixed Effects
and Random Effects Models
Table 3. Estimation results by fixed effects model
(FEM)
TB
Coef.
Std.
Err.
t
P>|t
|
[95% Conf.
Interval]
GDP
2.14e-
14
3.75e-
14
0.57
0.570
-5.31e-
14
9.58e-14
FDI
.000021
2
.00001
86
1.14
0.259
-
.000015
9
.000058
2
DIS
0 (omitted)
OPE
N
-
.001022
.00284
79
-0.36
0.721
-
.006684
4
.004640
5
_cons
.853827
3
.28941
12
2.95
0.004
.278400
4
1.42925
4
Source: result from stata 14 sofware
Table 4. Estimated results by random effects model
(REM)
TB
Coef.
Std.
Err.
z
P>|z
|
[95% Conf.
Interval]
GDP
4.14e-
15
3.18e-
14
0.13
0.896
-
5.82e-
14
6.65e-
14
FDI
.000019
8
.000018
2
1.09
0.276
-
.00001
58
.000055
4
DIS
.000020
8
.000082
1
0.25
0.800
-
.00014
02
.000181
8
OPE
N
-
.001341
6
.00198
-
0.68
0.498
-
.00522
24
.002539
2
_cons
.850343
7
.450098
6
1.89
0.059
-
.03183
32
1.73252
1
Source: result from stata 14 sofware
The estimation results by the fixed effects model
(FEM) are presented in Table 3 whereas, the
estimated results by the random effects model
(REM) are shown in Table 4. Performing the
Hausman test on whether to choose FEM or REM
model, the test results show that Prob = 0.9372 is
greater than 0.05, so the REM model is accepted.
Performing the variance test for the REM model
shows that Prob = 0.0000 is less than 0.05, so the
REM model has a variable variance phenomenon.
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Performing the REM model correlation test
shows that Prob = 0.0006 is less than 0.05, so the
REM model has autocorrelation.
Therefore, the author continues to implement the
GLS model to overcome the phenomenon of
variable variance and autocorrelation of the REM
model, the estimated results are as follows (Table
5): Table 5. Estimated results according to the GLS
model
TB
Coef.
Std.
Err.
z
P>
|z|
[95% Conf.
Interval]
GDP
-1.92e-
14
8.13e-
15
-
2.36
0.01
8
-3.51e-
14
-3.26e-
15
FDI
.000025
8
.000013
2
1.96
0.05
0
-2.37e-
09
.000051
7
DIS
.000030
2
.000013
2.33
0.02
0
4.78e-
06
.000055
6
OPE
N
-
.000957
4
.000496
2
-
1.93
0.05
4
-
.001929
9
.000015
1
_cons
.712837
1
.107696
3
6.62
0.00
0
.501756
2
.923917
9
Source: result from stata 14 sofware
Thus, the research results show that the
correlation relationship between the trade balances
between Vietnam and RCEP countries with the
factors is shown by the following equation:
TB = -0.0000000000000192*GDP +
0.0000258*FDI + 0.0000302*DIS
0.0009574*OPEN + 0.7128371
The above equation shows that the trade balance
between Vietnam and RCEP countries is positively
correlated with the value of foreign direct
investment of RCEP countries in Vietnam and the
distance between Vietnam and RCEP countries.
This means, for RCEP countries, the larger the
foreign direct investment in Vietnam, the higher the
proportion of Vietnam's exports to imports
compared to that country. The increase in foreign
direct investment attraction of RCEP countries to
Vietnam will help Vietnam improve its trade
balance with these countries. Research results also
show that distance is not an obstacle but a positive
factor in Vietnam's trade balance with RCEP
countries. When the countries in RCEP are further
apart from Vietnam, the product structure will be
less similar to the import-export structure of
Vietnam. That will be a good opportunity for
Vietnam to boost exports to these countries, greatly
improving the trade balance with that country.
Meanwhile, the regression results show that the
trade balance between Vietnam and RCEP countries
is negatively correlated with the gross domestic
product and trade openness of RCEP countries. This
result raises the problem that the higher the income
level of the countries in the RCEP, the more
difficult it is for Vietnam to export to these markets.
That comes from the reason the quality of
Vietnamese goods has not yet been able to meet the
tastes of fastidious markets with high incomes. The
higher the trade openness of RCEP countries, the
more hindering Vietnam's exports to these countries
can also be explained by this poor competitiveness
of Vietnamese exports.
5 Conclusion and Policy Implications
Quantitative research results show that the trade
balance between Vietnam and RCEP countries is
proportional to the amount of investment capital of
RCEP countries in Vietnam. The research results are
consistent with the theoretical basis, some
experimental studies, and the initial hypothesis. FDI
helps reduce production costs in Vietnam, thereby
having a positive effect on export growth, while its
impact on imports is less, so it causes a positive
effect on the overall trade balance of Vietnam with
RCEP countries. Therefore, Vietnam needs a
comprehensive push, in the form of a set of
multilateral investment rules with clearer powers
and obligations to attract foreign investment from
developed countries in the RCEP. Specifically,
Vietnam should be more active in improving the
business environment and national competitiveness
with an emphasis on reducing administrative
procedures and business conditions; simplifying
business registration procedures, and specialized
inspection… Along with that, the Government of
Vietnam also needs to implement solutions to
improve infrastructure; improve quality and ensure
the supply of qualified labor.
Similar to FDI, the geographical distance
between Vietnam and RCEP countries also
positively affects the trade balance between
Vietnam and RCEP countries. This result shows
that, among RCEP countries, Vietnam often has a
trade deficit with neighboring countries such as
China, and Thailand... because this is Vietnam's
main source of raw materials. Meanwhile, in the
RCEP, Vietnam needs to better implement market
policies to focus on boosting exports to Australia,
Japan, Korea, and New Zealand because these are
markets that bring high-added value in exporting for
Vietnamese enterprises.
In contrast, the trade balance between Vietnam
and RCEP countries is negatively correlated with
the gross domestic product of the RCEP countries.
This result shows that the higher the GDP of RCEP
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countries, the higher the standard of living, and the
higher the requirements for product quality, making
it difficult for Vietnamese exports to access these
markets. That negatively affects Vietnam's trade
balance with this country. This can be seen as the
biggest challenge for Vietnam when RCEP comes
into effect. Because RCEP is the area with the
largest concentration of direct competitors to
Vietnam, and also the region with the largest trade
deficit in Vietnam. Many partners in RCEP have
similar product structures to Vietnam but have
stronger competitiveness, while the quality and
value-added content of most Vietnamese products is
still modest. Besides, Vietnamese manufacturers
will be forced to compete domestically with a series
of new, lower-priced goods from China. Vietnam's
export structure is quite similar to some major
partners participating in RCEP (China and some
ASEAN countries) but has stronger
competitiveness. This would be a disadvantage.
Exporting to partner countries will become more
and more difficult, as these countries set higher
quality standards. Therefore, the Vietnamese
government needs to develop policies to support
businesses to invest in renewing equipment,
renewing technology, and innovating the production
process of products that meet the quality and
standards of export markets. ..
Like GDP, the trade openness of RCEP countries
also hurts Vietnam's trade balance with these
countries. This result shows that the more RCEP
countries remove trade barriers, the more difficult it
becomes for Vietnamese goods to compete with
those of other countries in the bloc. The promotion
of exports to these countries also faces many
difficulties, causing negative effects on the intra-
regional trade balance. Therefore, the Vietnamese
government also needs to have policies to encourage
and support enterprises to develop export strategies
suitable to each market and enterprise's capacity;
participate in overseas production and distribution
networks and global value chains.
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WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2023.20.163
Thi Anh Tuyet Le
E-ISSN: 2224-2899
1869
Volume 20, 2023
Contribution of Individual Authors to the
Creation of a Scientific Article (Ghostwriting
Policy)
Dr. Le Thi Anh Tuyet carried out this study
completely independently, from Data curation,
Formal analysis, design of methodology, Writing -
original draft, Writing - review & editing.
Sources of Funding for Research Presented in a
Scientific Article or Scientific Article Itself
No funding was received for conducting this study.
Conflict of Interest
The authors have no conflict of interest to declare.
Creative Commons Attribution License 4.0
(Attribution 4.0 International, CC BY 4.0)
This article is published under the terms of the
Creative Commons Attribution License 4.0
https://creativecommons.org/licenses/by/4.0/deed.en
_US
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2023.20.163
Thi Anh Tuyet Le
E-ISSN: 2224-2899
1870
Volume 20, 2023