Analyzing the relationships between female leader proportion and market value added of listed companies in Vietnam seafood industry
Regarding the space, the research sample
is merely limited to 19 listed joint-stock
companies rather than extending to those
who have not been listed or other kinds of
enterprises in the seafood industry. This limitation results from the difficulties in accessing financial data of seafood companies
which are neither listed nor joint-stock ones.
Besides, this research has not made comparison between different industries with different gender appropriateness. As to research
objects, the article does not cover such
issues as working environment, management
psychology, key performance indicator
(KPI). These can be interesting research orientations for future studies to look into the
effects of female leaders on business performance, especially in the context of implementing TPP entry commitments when promoting gender equality in economic activities in general and increasing the proportion
of female business leaders become an
inevitable trend.
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TRADE SCIENCE
REVIEW 1
Trade Science
Review
ISSN 1859-3666
Volum 4, Number 1 June 2016
Editor in chief
Nguyen Bach Khoa
Vietnam University of Commerce
Deputy Editor in Chief
Editorial Boad
Le Xuan Ba
Central Institude for Economic Managerment
Nguyen Dinh Huong
Union of Science and Technology Associations
Nguyen Hoang Long
Vietnam University of Commerce
Nguyen Mai
Vietnam Economist Association
Luong Xuan Quy
Vietnam Economist Association
Do Minh Thanh
Vietnam University of Commerce
Tran Dinh Thien
Vietnam Institute of Economics
Nguyen Thi Doan
The Office of State President
Nguyen Thi Bich Loan
Vietnam University of Commerce
Pham Vu Luan
Ministry of Education and Training
Bui Xuan Nhan
Vietnam University of Commerce
Dinh Van Son
Vietnam University of Commerce
Dinh Van Thanh
Trade Research Institute
Nguyen Quang Thuan
Vietnam Social - Humanity Academia
Contributors in abroad
H. Eric Boutin
Toulon Var University - France
Nguyen The Tam
California State University - USA
ZHANG Yujie
Tsinghua University - China
WASHIO Tomoharu
Kwansei Gakuin University - Japan
HAASIS Hans
Dietrich - Institute of Shipping Economics and
Logistics (ISL) Bremen - Germany
1. Rationale
In recent years there have been arguments
that gender diversity in management boards
may have positive effects on company per-
formance. With the trend of highly appreciat-
ing the roles of women in the modern society,
many researchers and policy-makers have
shown their supports to the tendency of
increasing the proportion of female members
in the management boards of enterprises.
Some governments even have issued regula-
tions on gender structure in boards of direc-
tors in private companies so as to promote
gender equality in the field of business
administration. In 2003, Norway passed a
quota act requiring that the management
board have at least 40% of members in two
genders, this act came into effect in 2006. In
January 2011, French Parliament approved a
law stipulating that at least 40% of manage-
ment board members in top 40 companies
listed on Paris Bourse be women by 2017. In
2007, Spain also issued requirements that
each gender account for at least 40% in the
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Pham Tuan Anh
Vietnam University of Commerce
Email: phamtuananhvuc@gmail.com
Received: 28th August 2015 Revised: 30 th December 2015
The article looks into the relationships between the proportion of women in managementboards, the proportion of women in control boards or holding positions of chief account-
ant, the proportion of female leaders with qualifications of at least associate college degrees
and the market value added (MVA) of seafood companies listed in Vietnam stock market.
Research findings reveal that there exist significant relationships, in which the proportion of
female leaders with associate college qualifications has positive effects on the MVA of joint-
stock companies in the sample.
The research findings can be a foundation for seafood joint-stock companies to pay more
attention to the recruitment and training of female leaders. They also provide initial empirical
evidence in support of increasing the proportion of female members in management positions
in joint stock companies in Vietnam.
Key word: Female leadership proportion, market value added (MVA), TPP agreement
management boards by 2015. In the mean-
time, in 2011 Italia requested that listed com-
panies and state-owned enterprises have at
least 33% of management board members as
women by 2015. In Germany, the authority
union of Chancellor Angela Merkel came to
an agreement in 2014 requiring the country's
big companies to guarantee that at least 30%
of management boards are female, this law is
to be passed in December 2016. Meanwhile,
in the middle of March 2011, Australian
administration agreed to implement a quota
on female proportion in the control board of
state-owned enterprises with the suggested
quota of 25% in 2013 and 35% by 2018. In
Malaysia, since 2016, all public enterprises
and limited companies with over 250 employ-
ees must have at least 30% of management or
director board members as women. However,
except in the United States and some
European nations where the proportion of
female leaders has increased, in most other
countries, the proportion remains modest.
Upon the 12 member countries completing
their negotiations for Trans-Pacific Strategic
Economic Partnership Agreement, or TPP for
short, many experts believe that TPP will
have intensive strategic impacts on the region
as well as the entire world. As a TPP member,
Vietnam can enjoy lots of economic and
strategic benefits but at the same time face
not a few challenges. In this context, the way
our government and business community rec-
ognize and exploit opportunities as well as
deal with challenges will determine whether
the country can gain success or commit fail-
ure in the process of TPP integration in the
coming time.
Regarding women and economic growth,
Article 23.4 in TPP stipulates that the Parties
recognise that enhancing opportunities in
their territories for women, including workers
and business owners, to participate in the
domestic and global economy contributes to
economic development. Accordingly, the
Parties shall consider undertaking coopera-
tive activities aimed at enhancing the ability
of women, including workers and business
owners, to fully access and benefit from the
opportunities created by this Agreement.
These activities may include providing advice
or training, such as through the exchange of
officials, and exchanging information and
experience on programmes aimed at helping
women build their skills and capacity, and
enhance their access to markets, technology
and financing; developing women's leader-
ship networks; and identifying best practices
related to workplace flexibility.
In this context, this research is conducted
to seek empirical evidence on the positive
effects of increasing women leader propor-
tion and highly-educated women in manage-
ment positions on the financial performance
of joint-stock seafood companies listed in
Vietnam stock market.
2. Literature Review
There are a number of arguments in favor
of gender diversity in senior management
positions in companies.
Bantel and Jackson (1989), Murray
(1989), Carter et. all (2003) believe that in
most of the cases, a more diverse manage-
ment board (in terms of gender and represen-
tatives of the minority groups) can make deci-
sions based on the evaluation of more alter-
natives than a management board consisting
of men only. A diverse board can also have
better knowledge of the company's market,
and moreover the diversity will promote cre-
ativeness and innovation. Besides, a diverse
management board can improve the compa-
ny's image, thereby having positive effects on
the company's performance, shareholder val-
ues as well as customer behavior.
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Upon generalizing research on business
administration and positive effects of man-
agement diversity, Nina Smith et. all (2005)
carried out an empirical study with Denmark
companies and came to conclusion that the
proportion of women in senior management
positions affects the company's performance
positively, and the positive effects of women
in management positions depend on their
qualifications.
Tu, T.T.T, Loi, H.H., Yen, T.H., (2015), via
a study on the relations between gender diver-
sity and profitability of public companies list-
ed in Vietnam stock market in case of com-
mercial banks, also concluded that the partic-
ipation of women in management boards can
positively affect the returns on equity (ROE)
and returns on assets (ROA) of these banks.
However, there also exist some arguments
against the positive effects of women propor-
tion in senior management positions on busi-
ness performance.
Shrader et. all (1997) analyzed 200 biggest
American companies and could not find any
significant positive relations between the per-
centage of women in management positions
and the company's performance measured by
ROA and ROE. They could
even find the negative rela-
tions in some cases.
Kochan et. all (2003)
also found no positive relations between gen-
der diversity in management and sustainble
capacity of American companies.
Far from finding out the positive effects of
women leader proportion on business per-
formance, some researchers even believe that
gender diversity may not work well because
of gender conflicts in management. And even
when gender diversity can help to make bet-
ter-quality management decisions, these
advantages cannot justify the negative
impacts caused by the delays in decision-
making process amid the volatile market con-
ditions, especially in case of market shocks.
3. Research models
It can be seen that the relations between
women leader proportion and business per-
formance is an interesting research topic.
Although there still exist controversies in
finding empirical evidence and conclusion on
the positive effects of the proportion of
female leaders on financial results of the
enterprises, it can be seen that researchers can
reach agreement in choosing the ways to
approach and study the relations between the
proportion of women in management posi-
tions (quantity) and professional qualifica-
tions of female leaders (quality) and indica-
tors measuring the company's financial
results, of which ROA and ROE are the most
commonly used. To comprehensively reflect
the company's management results towards
the aims of maximizing values for sharehold-
ers, this study employs the company's market
value added (MVA) as dependent variable.
Independent variables are described in the
following table:
The research successively tests 2 models:
4. Research data and methodology
Research sample included 19 enterprises
in seafood industry, a spear-head sector in
Vietnam's economy. All these enteprises got
listed in the stock market. Data were collect-
ed from enterprises' annual reports, market
database, macro-economic reports, financial
analysis reports in the 2010 - 2015 period. To
increase the value of research findings, data
from research sample were designed in the
forms of panel data with 2 directions of time
series as the time over the years and space
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(1) MVAit = â1GPM+â 2ROA+â 3F_MAN+â4F_CTR+â5F_EDU+â6FS+åit
(2) MVAit = â1GPM+â 2ROE+â 3F_MAN+â4F_CTR+â5F_EDU+â6FS+åit
series as cross section of securities codes
selected for research sample. Panal data are
structured as balanced panel. The use of panel
data enabled more information, more varia-
tions, fewer multi-collinearities among vari-
ables, higher degree of freedom and higher
effectiveness because cross sections are
researched repeatedly, which is suitable with
constant changes and enables the control of
unobservable differences between entities
(joint-stock companies in research sample,
enables the control of unobservable but
changing variables.
Research process included the following
steps:
(1) Setting up research model and coding
variables in the model
(2) Collecting and refining data
(3) Caculating the values of dependent
and independent variables
(4) Checking data before analysis
(5) Identifying part-correlations between
dependent and independent variables
(6) Choosing between fixed effects model
(FEM) and random effects model (REM)
(7) Testing research hypotheses and run-
ning regresion analysis
5. Findings and Implications
5.1. Descriptive statistics analysis (table 2)
In the research sample, these companies
have average MVA of -68.1 billion VND.
Average ROA is 1.56% while average ROE is
8.5%, showing that they have managed to use
financial leverage effectively to create higher
ROE than ROA to bring more profits to
shareholders.
The highest proportion of women in man-
agement boards in surveyed companies
reaches 87.5%, the highest proportion in con-
trol boards or working as chief accountant
totals 100%, the highest proportion of women
with at least associate college degrees gets
77.8%. By contrast, in the lowest cases, these
proportions are all 0%, which means no
women participate in the companies' manage-
ment boards. The average F_MAN of 25.59%
and F_CTR of 36.7% are higher than the
results of another survey conducted on 200
enterprises with the highest capitalization
value in Vietnam stock market by December
31, 2014 when the proportion of women in
director board was 15.225%. The average
F_CTR is higher than Malaysian require-
ments while F_MAN is slightly lower than
the minimum requirements of this country
(Malaysia is one of 12 members of TPP).
5.2. Correlations of variable pairs
Three variables have negative correlation
coefficients including ROA, GPM and FS,
variables representing the participation of
women in management boards as F_MAN,
F_CTR and F_EDU all show positive rela-
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Table 1: List of independent variables
Variables Content Expected
correlation
GPM Gross Profit Margin +
ROA Ratio of after-tax profits divided by total assets +
ROE Ratio of after-tax profits divided by owner’s equity +
F_MAN Proportion of women in management board +/-
F_CTR Proportion of women in control board and chief
accountants
+/-
F_EDU Proportion of female leaders with high educational
qualification
+
FS Company’s fund scale +/-
tionships with MVA, of which F_EDU has
the highest correlation (above 0.3). These
results imply that there exist positive relation-
ships between the proportion of women in
director board, the proportion of women in
control board or working as chief account-
ants, the proportion of female leaders with
high qualifications and the market value
added of companies in the research sample.
5.3. Simple linear regression analysis:
For MVA measurement, the simple linear
regression analysis between each indenpen-
dent variable and dependent variable indi-
cates that although 3 variables have signifi-
cant relation-
ships with MVA,
R2 is very low,
which implies
that the simple
linear regression
model is not
appropriate to
explain the vari-
ations in the
companies' MVA
according to
each independ-
ent variable.
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Table 2. Results of descriptive statistics analysis of variables in research model
Source: researcher's caculation from research data
Variable Mean Maximum Minimum Std. Dev. Skewness Kurtosis
MVA -68.1050 1615.3510 -1107.6360 327.1372 0.4899 9.7224
F_CTR 0.3670 1.0000 0.0000 0.3209 0.4628 2.0759
F_EDU 0.2829 0.7778 0.0000 0.2301 0.4477 2.0513
F_MAN 0.2559 0.8750 0.0000 0.2631 0.5896 2.1302
FS 1404.0470 15754.7900 69.1900 2123.6660 4.0415 23.2458
GPM 0.0992 0.3039 -1.9138 0.2301 -6.5900 54.5259
ROA 0.0156 0.2087 -0.9944 0.1429 -4.8752 31.4789
ROE 0.0850 2.4280 -3.6740 0.4756 -3.0875 41.8927
Table 3. Correlation coefficient of variable
pairs
Source: researcher's caculation from
research data
MVA
ROA -0.058037
GPM -0.060453
F_MAN 0.132648
F_CTR 0.213491
F_EDU 0.311487
FS -0.236610
ROE 0.138776
Table 4. Results of simple linear regression between MVA and independent
variables
Source: researcher's caculation from research data
R Square P-value
between MVA and ROA 0.003368266 0.539644
between MVA and GPM 0.003655 0.522867
between MVA and ROE 0.019258767 0.140878
between MVA and F_MAN 0.017596 0.159453
between MVA and F_CTR 0.045579 0.022566
between MVA and F_EDU 0.097024 0.000742
between MVA and FS 0.055984 0.011259
5.4. Results of Pooled
Regression
When inserting all 114
observations to the
pooled regression accord-
ing to least square
method, the processing
results show that only 1
variable has statistic sig-
nificance which is
F_EDU, indicating the
positive relationships
between the proportion of
female leaders with high
education and VMA with
explanation level of
16.38% for the fluctua-
tions in the average MVA
The analysis results of
MVA when using ROE to
replace ROA show the
similar result, F_EDU has
the significant positive
relationships with expla-
nation of 17.33% of fluc-
tuations in average MVA.
However, that all 114
obervations are inserted
into the pooled regres-
sion model means that
we have to face the like-
lihood of mistakes as we
assume that there is no
obvious difference
beween each company
pair in the total sample of
19 companies while in
fact 19 companies in the
research sample may not
be homogenous at all
time.
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Table 5: Results of Pooled Regression for model (1)
Dependent Variable: MVA
Method: Panel Least Squares
Date: 03/11/16 Time: 02:31
Sample: 2010 2015
Cross-sections included: 19
Total panel (balanced) observations: 114
Variable Coefficient Std. Error t-Statistic Prob.
C -135.4557 56.59623 -2.393370 0.0184
GPM 3.478837 162.5234 0.021405 0.9830
ROA -216.5974 261.6928 -0.827678 0.4097
F_MAN -257.1577 205.7937 -1.249590 0.2142
F_CTR -407.0479 213.7855 -1.904001 0.0596
F_EDU 1103.875 399.1253 2.765735 0.0067
FS -0.019069 0.016331 -1.167707 0.2455
R-squared 0.163804 Mean dependent var -68.10497
Adjusted R-squared 0.116915 S.D. dependent var 327.1372
S.E. of regression 307.4193 Akaike info criterion 14.35374
Sum squared resid 10112212 Schwarz criterion 14.52175
Log likelihood -811.1632 F-statistic 3.493417
Durbin-Watson stat 1.044945 Prob(F-statistic) 0.003409
Table 6: Results of Pooled Regression for model (2)
Dependent Variable: MVA
Method: Panel Least Squares
Date: 03/11/16 Time: 02:42
Sample: 2010 2015
Cross-sections included: 19
Total panel (balanced) observations: 114
Variable Coefficient Std. Error t-Statistic Prob.
C -127.6933 54.95635 -2.323540 0.0220
GPM -101.3495 128.5434 -0.788446 0.4322
ROE 85.88787 61.91174 1.387263 0.1682
F_MAN -193.7924 207.5712 -0.933619 0.3526
F_CTR -349.0538 213.3110 -1.636361 0.1047
F_EDU 961.0493 398.7875 2.409928 0.0177
FS -0.022720 0.016266 -1.396824 0.1654
R-squared 0.173320 Mean dependent var -68.10497
Adjusted R-squared 0.126964 S.D. dependent var 327.1372
S.E. of regression 305.6653 Akaike info criterion 14.34230
Sum squared resid 9997145. Schwarz criterion 14.51031
Log likelihood -810.5109 F-statistic 3.738886
Durbin-Watson stat 1.069971 Prob(F-statistic) 0.002044
5.5. Choosing REM or FEM or OSL:
To choose the more suitable model
between Fixed effect Model (FEM), Random
effect Model (REM), this research uses
Hausman Test.
Hypothesis H0: REM is more suitable
Hypothesis H1: FEM is more suitable
The results of Hausman Test by running
REM reveal that P-value is higher than 0.05,
so there is no ground to reject H0, which
means that the ramdon effects model is suit-
able for model (1).
Analysis results uncover that the propor-
tion of female leaders with qualifications of at
least associate col-
lege degrees has
positive effect on
MVA of the compa-
nies in research
sample.
Results of
Hausman Test by
running REM show
that P-value is high-
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Table 7: Results of Hausman Test for model (1)
Correlated Random Effects - Hausman Test
Equation: Untitled
Test cross-section random effects
Test Summary
Chi-Sq.
Statistic Chi-Sq. d.f. Prob.
Cross-section random 6.136463 6 0.4081
Table 8: Results of random effect analysis for model (1)
Dependent Variable: MVA
Method: Panel EGLS (Cross-section random effects)
Date: 03/11/16 Time: 03:28
Sample: 2010 2015
Cross-sections included: 19
Total panel (balanced) observations: 114
Swamy and Arora estimator of component variances
Variable Coefficient Std. Error t-Statistic Prob.
C -161.0915 87.89614 -1.832748 0.0696
GPM 32.85862 147.0609 0.223435 0.8236
ROA -330.5289 234.5954 -1.408932 0.1618
F_MAN -146.7418 227.0628 -0.646261 0.5195
F_CTR -299.5520 253.7094 -1.180689 0.2403
F_EDU 814.7467 438.9875 1.855968 0.0662
FS 0.008422 0.020339 0.414084 0.6796
Effects Specification
S.D. Rho
Cross-section random 223.7580 0.4652
Idiosyncratic random 239.8933 0.5348
Weighted Statistics
R-squared 0.062497 Mean dependent var -27.30755
Adjusted R-squared 0.009927 S.D. dependent var 241.2465
S.E. of regression 240.0462 Sum squared resid 6165572.
F-statistic 1.188825 Durbin-Watson stat 1.770921
Prob(F-statistic) 0.317820
Unweighted Statistics
R-squared 0.111829 Mean dependent var -68.10497
Sum squared resid 10740762 Durbin-Watson stat 1.016570
er than 0.05, so there is no
ground to reject H0,
which means that random
effects model is suitable
for model (2)
Analysis results with
independent variables of
ROE to replace ROA do
not show empirical evi-
dence for the significant
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Table 9: Results of Hausman Test for model (2)
Correlated Random Effects - Hausman Test
Equation: Untitled
Test cross-section random effects
Test Summary
Chi-Sq.
Statistic Chi-Sq. d.f. Prob.
Cross-section random 7.675208 6 0.2629
Table 10: Results of random effect analysis for model (2)
Dependent Variable: MVA
Method: Panel EGLS (Cross-section random effects)
Date: 03/11/16 Time: 03:40
Sample: 2010 2015
Cross-sections included: 19
Total panel (balanced) observations: 114
Swamy and Arora estimator of component variances
Variable Coefficient Std. Error t-Statistic Prob.
C -152.1777 84.04527 -1.810663 0.0730
GPM -106.6989 115.1571 -0.926551 0.3562
ROE 54.36565 52.27820 1.039930 0.3007
F_MAN -104.8312 226.8472 -0.462122 0.6449
F_CTR -236.7201 252.5472 -0.937330 0.3507
F_EDU 698.3459 439.3546 1.589481 0.1149
FS 0.004370 0.019964 0.218907 0.8271
Effects Specification
S.D. Rho
Cross-section random 207.6251 0.4249
Idiosyncratic random 241.5441 0.5751
Weighted Statistics
R-squared 0.057824 Mean dependent var -29.21802
Adjusted R-squared 0.004991 S.D. dependent var 244.0374
S.E. of regression 243.4276 Sum squared resid 6340499.
F-statistic 1.094474 Durbin-Watson stat 1.714666
Prob(F-statistic) 0.370487
Unweighted Statistics
R-squared 0.126557 Mean dependent var -68.10497
Sum squared resid 10562651 Durbin-Watson stat 1.029272
relationships between independent variables
in model (2) and MVA of companies in the
research sample.
Compared with the initially-established
hypotheses, the multiple linear regression
analysis results via REM model show the fol-
lowing conclusions:
Firstly, ROA proves to be more effective
than ROE as reflected through the fact that
model (1) can explain the effects of the pro-
portion of female leaders with qualifications
of at least associate college degree on the
MVA of listed companies. Based on this find-
ing, a recommendation can be made to joint-
stock enterprises that they should prioritize
the use of ROA and MVA to set up perform-
ance-evaluating criteria for managers.
Secondly, there exist significant relation-
ships showing that the proportion of female
leaders with high qualifications has positive
effects on the MVA of joint-stock companies
in the research sample. However, the research
model explains for the effects of F_EDU on
MVA at a not very high level.
Thirdly, the research does not show signif-
icant results on the relationships between the
proportion of women in director and control
boards or working as chief accountants and
the MVA of joint-stock companies in the
research sample.
With these research findings, it can be seen
that although there has not yet been empirical
evidence in favor of the positive effects of
increasing the proportion of women in direc-
tor and control boards or working as chief
accountants, the research does illustrate the
positive effects of proportion of female lead-
ers with qualifications of at least associate
college degrees. Therefore, joint-stock com-
panies seeking positive effects on their MVA
should pay more attention to recruitment as
well as training so as to enhance the profes-
sional knowledge of women in management
positions.
6. Research limitations
Regarding the space, the research sample
is merely limited to 19 listed joint-stock
companies rather than extending to those
who have not been listed or other kinds of
enterprises in the seafood industry. This lim-
itation results from the difficulties in access-
ing financial data of seafood companies
which are neither listed nor joint-stock ones.
Besides, this research has not made compar-
ison between different industries with differ-
ent gender appropriateness. As to research
objects, the article does not cover such
issues as working environment, management
psychology, key performance indicator
(KPI). These can be interesting research ori-
entations for future studies to look into the
effects of female leaders on business per-
formance, especially in the context of imple-
menting TPP entry commitments when pro-
moting gender equality in economic activi-
ties in general and increasing the proportion
of female business leaders become an
inevitable trend.
Summary
Baøi baùo naøy böôùc ñaàu tìm hieåu moái quan
heä giöõa tyû leä nöõ tham gia ban giaùm ñoác
coâng ty coå phaàn, tyû leä nöõ tham gia ban kieåm
soaùt hoaëc naém giöõ vò trí keá toaùn tröôûng coâng
ty coå phaàn, tyû leä nöõ laõnh ñaïo coâng ty coå
phaàn coù trình ñoä chuyeân moân nghieäp vuï töø
cao ñaúng trôû leân vaø giaù trò thò tröôøng gia
taêng cuûa coâng ty coå phaàn ngaønh thuûy saûn
hieän nieâm yeát coå phieáu treân thò tröôøng
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chöùng khoaùn taäp trung taïi Vieät Nam. Keát
quaû nghieân cöùu cho thaáy toàn taïi moái quan
heä coù yù nghóa thoáng keâ, trong ñoù tyû leä nöõ
laõnh ñaïo coù trình ñoä töø cao ñaúng trôû leân coù
taùc ñoäng tích cöïc tôùi giaù trò thò tröôøng gia
taêng cuûa caùc coâng ty coå phaàn trong maãu
nghieân cöùu.
Caùc phaùt hieän qua nghieân cöùu laø cô sôû ñeå
caùc coâng ty coå phaàn ngaønh thuûy saûn quan
taâm hôn tôùi tuyeån duïng vaø ñaøo taïo nöõ caùn
boä laõnh ñaïo coâng ty, böôùc ñaàu cung caáp
baèng chöùng thöïc nghieäm uûng hoä vieäc taêng
cöôøng tyû leä nöõ tham gia quaûn trò caùc coâng ty
coå phaàn taïi Vieät Nam.
References
1. Ekadah, John Wachudi et. all, (2009)
Effect of board gender diversity on the per-
formance of commercial banks in Kenya,
European Scientific Journal, April edition
vol. 8, No.7
2. Nuria Reguera Alvarado et. all, (2011)
Gender diversity on Boards of Directors and
business success, Investment Management
and Financial Innovations, Volume 8, Issue 1
3. Tu, T.T.T, Loi, H.H., Yen, T.H., (2015)
Relationship between Gender diversity on
Boards and firm's performance - Case study
about ASEAN banking sector, International
Journal of Financial Research, Vol.6, No. 2
47
Trade Science Review
TRADE SCIENCE
REVIEW
’S TSR
PHAM TUAN ANH
1. Personal Profile:
- Name: Pham Tuan Anh
- Date of birth: June 10, 1975
- Workplace: Vietnam University of Commerce
- Position: Head of Department of Financial Management
2. Major research directions:
- Models and empirical work about financial management
- Business ethics research in corporate governance and finance
- Corporate social responsibility and development of supporting industries.
3. Publications the author has published his works:
- Trade Science Review
- Vietnam Trade and Industry Review
Các file đính kèm theo tài liệu này:
- analyzing_the_relationships_between_female_leader_proportion.pdf