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Result reveals that there is a negative relationship between the female share in managers and gender pay gap, and the education has a significant statistic and strong impact on the wage

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UNIVERSITY OF ECONOMICS, HO CHI MINH CITY VIET NAM – NETHERLANDS PROJECT FOR M.A PROGRAM IN

DEVELOPMENT ECONOMICS

IS GENDER PAY GAP LOW IN PLANTS WITH MORE

FEMALE MANAGERS? EVIDENCE FROM SMALL AND

MEDIUM ENTREPRISES OF VIETNAM 2007

-o0o -A thesis submitted in partial fulfillment of the requirements for the degree of

MASTER OF ARTS IN DEVELOPMENT ECONOMICS

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The goal of gender equality in income is not only an important matter

of human rights but also basic requirement for development of fair and

efficiency Therefore, study on the state of gender inequality in income has

the significant implications in moving toward the equality in society and

enhancing the efficiency of economic and social growth Actually, there have

been many previous studies related to the issues of gender income

difference, particularly the factors impact on reducing the gender gap in

earnings Inheriting these previous researches, my dissertation attempts to

investigate whether the gender gap in earnings is low in the establishments

with more female managers Using a sample size of 1043 employees and

2492 enterprises were surveyed in the Small and Medium Enterprises (SME)

in Vietnam in the year of 2007, matching employer and employee data and

distinguishing occupation the study ends up 345 job–cells In addition,

ordinary least squares modeling and ordinary least square with job-cell

fixed effects are applied to explore the effect on male – female income

difference of proportion of female manager Various explanatory variables

for characteristics of workers and plants are used as control variables

Result reveals that there is a negative relationship between the female share

in managers and gender pay gap, and the education has a significant statistic

and strong impact on the wage of the labors

Key words: Gender pay gap, matched employee – employer data

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This thesis is completed with not only painful process but also enjoyableexperience Fortunately, throughout the process I always got a lot of helps andsupports from many people in order to make thesis possible On the sameoccasion, I would like to express my gratitude to all of them

Foremost, I would like to give my sincere gratitude and specialappreciation to my academic supervisor Dr Pham Dinh Long, for his patience,motivation, enthusiasm, and immense knowledge His guidance helped me inall the time of research and writing of this thesis

Similarly, I sincerely thank to the Scientific Committee and staffs ofVietnam-Netherland Program for their willingness to provide informationduring the last time

Last but not the least, I would like to thank my family and classmate atVNP20 for their backing and helping so that I can complete this thesis

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TABLE OF CONTENTS

CHAPTER 1: INTRODUCTION 4

1.1 Problem statement 6

1.2 Research objective 8

1.3 Structure of research 9

CHAPTER 2: LITERATURE REVIEW 10

2.1 The definitions 10

2.1.1 Gender 10

2.1.2 Gender equality 10

2.1.3 Gender gap in earnings 11

2.2 Cause of gender wage gap and the factors impact on gender wage gap 12 2.2.1 Cause of gender wage gap 12

2.2.2 The factors impact on gender wage gap 16

2.2.2.1 Non-economic factor 16

2.2.2.2 Economic factors 16

2.2.2.2.1 Characteristics of employee 16

2.2.2.2.2 Education 17

2.2.2.2.3 Employment 17

2.2.2.2.4 Geographic factor 18

2.3 Measurement of gender pay gap 18

2.4 The impact on economic - social development of gender wage gap 19

2.5 The impact on male – female income difference of female manager 20

CHAPTER 3: OVERVIEW OF GENDER WAGE GAP IN VIETNAM 25

3.1 Overview the status of gender gap in earnings in Vietnam 25

3.2 The factors impact on male – female income difference 31

3.2.1 The age of employee 31

3.2.2 Education 32

3.2.3 Employment 32

2

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3.3.4 Geography 32

CHAPTER 4: METHODOLOGY 34

4.1 The data 34

4.2 The variables 35

4.2.1 Education 35

4.2.2 Seniority 36

4.2.3 Age of employee 36

4.2.4 Size and Industry 36

4.3 The Econometrics Models and Results 37

CHAPTER 5: CONCLUSION, POLICY IMPLICATIONS AND LIMITATIONS 42

5.1 Conclusion 42

5.2 Policy implications 42

5.3 Limitations 43

REFERENCES 44 Bibliography Error! Bookmark not defined

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LIST OF TABLES

Table1: Human development index and Human development index in

Southeast Asia Area 25

Table2: The share of women’s labor force participation 26

Table 3: The share of female in plants 27

Table 4: Summary statistics 38

Table 5: Wages and female shares in managers 38

Table 6: Wages regression 39

LIST OF APPENDICES Appendix 1: Correlation of variables 47

Appendix 2: Statistics variables 47

Appendix 3: OLS wage regression 48

Appendix 4: OLS wage regression with job – cell fixed effect 49

Appendix 5: Test for heteroskedasticity 49

Appendix 6: Test for multicollinearity 50

Appendix 7: The individual categories of ISIC 50

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ILO International Labor Organization

VGCL The General Labor Confederation of Vietnam

SMEs Small and medium enterprises

DWC Division of Workers’ Compensation

CEDAW The Convention on the Elimination of all forms of Discrimination

against women

OECD Organization for economic co-operation and development

STEM Science, Technology, Engineering and Mathematics

GDP Gross domestic product

HLM Hierarchical linear modeling

OLS Ordinary least square

EEOC Equal employment opportunity commission

GDI Gender Development Index of Vietnam

GSO The General Statistics Office of Vietnam

VHLSS Vietnam Household Living Standards Survey

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In addition, economic growth will bring more effective for the reduction ofpoverty level in the country which has a higher level of gender equality.Moreover, inequalities in income between women and men prevent the equaldevelopment and this makes the use of resources in society inefficient.

In fact, the situation of gender inequality in earnings occurred in manycountries, especially in the developing countries It might be said that the cause

of this condition primarily rooted traditional perspectives and preconceivedideas in the social about the male-supremacy in many countries Thereby, theselead to the restriction of opportunities for women to access the education andtraining, the choice of professions, an opportunity to improve professionalqualifications The distribution of labor between men and women in differentoccupations, employment arrangements and job positions in the same businessline is also obvious differences, which greatly affected on the difference ingender income Furthermore, women also have fewer opportunities to access

to these services as well as other basic resources such as water, transportationand marketing, capital, etc These things certainly impact on their improvement

of the condition and economic status

In Vietnam, as reported by the International Labor Organization (ILO) on

7th March, 2013, the gap of income between men and women in Vietnam wascontinuously increasing while the proportion of women in work force was

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higher than other countries in the world Approximately 72% of womenparticipated in the labor force in Vietnam and this ratio was higher than that inmost of other countries worldwide Nevertheless, Vietnam was one of the fewcountries where the gender wage gap was increasing in contrast with the trend

in most of other countries in the 2008-2011 period compared with the period1999-2007 Moreover, according to the 2012-2013 Global Wages Report of theILO, gender income gap of Vietnam increased by 2% in the recent period.Statistical data of the General Department of Statistics in 2011 indicated thatwomen's income was lower than men’s income, approximately 13% Also, theGeneral Labor Confederation of Vietnam (VGCL) conducted a survey ofemployees’ salary in enterprises in 2012 This organization saw that wage offemale workers was less, only 70-80% of their male colleagues Besides, LaborSurvey Report published in 2012 stated the average monthly income of womenwas less than men’s in all economic sectors, state, non-state and foreigninvestment Even in occupations which primarily recruited focus on womensuch as health care, social work and sales, women still had a lower salary thanmale fellowship More specifically, the VGCL survey found that women oftendid the normal work whereas male undertook the management positions

Due to the important of this field, there were thus a lot of researchesabout gender pay gap conducted in the past indicating the determinants ofdifference in wage of women and men as well as providing solutions to reducethis gap such as Anderson, Tracy, et al (2001), Hultin and Szulkin (2003),Manning (2006), Blau and Lawrence (2007), Cohen and Huffman (2007),Becker (2010), Cardoso and Winter-Ebmer (2010), Spencer (2015) InVietnam, studies about gender gap in earnings there are Liu (2002), Pham andBarry (2007) and so on Interestingly, related to the solutions given by theresearchers in order to reduce gender income differences, there was therelationship between female share in managers and gender wage gap.Particularly, in the research of Hultin and Szulkin (2003) namely “Mechanisms

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of inequality unequal access to organizational power and the gender wagegap”, the authors used the multilevel models in order to analyze the dataset ofSwedish which combined the information on a large number of private – sectorenterprises and all their employees The finding showed that gender gap inincome in plants were wider while there were more male representationsamong managers and supervisors in these enterprises and low relative wage offemale worker in plants in which there were no or only a few women inmanagerial position Another notable research, Hirsch’s paper (2013) is one ofthese above studies, through the evidences from linked employer – employeedata for Germany, Hirsch found that gender income difference decreased by 0.5log point when increased the female share in first level management by 10%points Therefore, follows the cornerstones of Hirsch’s research and applies forthe case of Vietnam in order to investigate the relationship of female sharemanagers and gender pay gap, this study is conducted particularly in small andmedium enterprises (SMEs) in Vietnam in the year of 2007.

1.2 Research objective

The objective of the study is an analysis to find out whether or not thewomen have an important role in the case of reducing the gender incomedifference when they stand in the assembly line of managers in small andmedium plants in Viet Nam

This research is also conducted to answer the main question that isgender pay gap low in plants with more female managers?

And for the scope of study, it is undertaken in SMEs in Vietnam in theyear of 2007

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1.3 Structure of research

The research is organized as follows In chapter one, problem statementand objective research are presented Chapter two provides concepts related tothe literature review, the definitions and the causes as well as the factorsimpact on gender pay gap Chapter three presents the overview of gender gap

in Vietnam Chapter four presents data description, introduces methodologymethod used, gives the estimated results Finally, conclusion, policysuggestions and limitations are highlighted in the last - chapter five

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CHAPTER 2: LITERATURE REVIEW

This chapter presents the overview of theory and discusses previousstudies relates to the research The first part mentions about some definitions

of gender income difference The second part discusses about the causes ofmale – female income difference The third part briefly presents themeasurement of gender gap in earnings The fourth part talks about therelationship of gender wage gap and social economic development And the lastone indicates the impact on gender earning difference of female manager

Benefits of gender are the benefit of women and men that when appliedthey will change the actual division of labor by gender in the direction ofprogress, contribution to enhance gender equality

2.1.2 Gender equality

Follow the Convention on the Elimination of all forms of Discriminationagainst women (CEDAW) 1978, gender equality was the status (livingconditions, living and working) in which women and men enjoyed the same

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position, they had equal opportunities to access and use the resources to bringbenefit for themselves, discovered and developed the potential of each gender

to devote to the development of each country and got benefit from thisdevelopment

Therefore, gender inequality and the term "discrimination againstwomen" means any distinction, exclusion or restriction based on gender whichaffect or aim to do harm or disable the woman authentication, beneficiaries orimplementation of human rights and fundamental freedoms in the political,economic, social, cultural, civil and other fields on the basis of equality of menand women no matter how their marital status like

2.1.3 Gender gap in earnings

In the field of labor, gender inequality presents in discrimination inaccess to opportunities, the discrimination in employment and occupation aswell as discrimination in inheritance of employment achievements betweenmale workers and female workers With a view to human-centered, genderinequality in income refers to the relationship of income distribution andgender As a result, the gender gap in earnings is discrimination in income ofmen and women workers, although they have the same feature of capabilitiesand labor productivity as well (Del Río, Coral, Carlos Gradín, and Olga Cantó,2011)

Under the final report of Anderson, Forth, Metcalf and Kirby (2001) toDepartment for Education and Employment, there were a variety of theoriesexplaining the male – female income difference Human capital theoryexplained the gender gap in earnings through the differences in the innateabilities of male and female or by differences in their education and experience,which translated into differences in their productivity Meanwhile, theoriesregarding the social construction of skills which was supposed the historically

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inferior status of women may have led to the undervaluing of traditionalfemale skills, and this created a value system that penalized both men andwomen for such skills Furthermore, according to the theory of dual labormarket, there were two labor markets with differences in wages andconditions The primary labor market offered the high wages and goodconditions in order to get higher level of productivity, whereas the secondarymarket had a lower level of pay and poor conditions to meet lowerproductivity Due to the restriction on women’s labor market options, theymight be concentrated on seeking jobs in the secondary market And thiswould contribute to the gender pay gap.

With the same findings, the organization for economic co-operation anddevelopment (OECD) has defined the gender pay gap is the difference betweenmale and female earnings expressed as a percentage of male earnings

Another definition is of the European Commission has found gender paygap as the average difference between men’s and women’s aggregate hourlyearnings

In conclusion, a lot of papers have been conducted in the past and keepgoing to the presents, but they have same point of view on the definition ofgender pay gap or the male – female difference in earnings

2.2 Cause of gender wage gap and the factors impact on gender wage gap

2.2.1 Cause of gender wage gap

According to Anderson et al (2001), the authors provided the theoriessuch as “neo-classical labor market and theories incorporate a range ofindividual and institutional factors which could explain the existence of genderpay gap” Human capital theory stated that the innate ability and skill weredissimilar between women and men, this led to the productivity of womenwere less than men and might explain the gender pay gap Differences in choice

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implied the women preferred the lower job to men and this also caused theconsistence of male – female income difference Next, one of the causes ofgender pay gap was discrimination, and “four types of discrimination, therewere rational – legal, determinist, particularist and patronage” (Jewson andMason, 1986) The social value of skills, the women had been undervaluedabout traditional skill due to the “historically inferior status” of them Besides,crowding “led to the excess supply of labor and along with the economicdomination, the wage in the labor market reduced” (Bergmann, 1971).Moreover, female labor “faced with the larger degree of monopsony whencompared with male labor, and the wage rate for women would be lower”(Manning, 1996) Furthermore, “the position of women in internal labormarket was weak and this made the disadvantage for them as well as causedthe gender earnings gap” (Kerr, 1950) In addition, “unionization and pay –bargaining were also an important factor in which explained the genderincome difference, if women were less to be have their pay which determined

by collective bargaining and that was the cause of gender pay gap” (Anderson

et al, 2001) And there were some other factors which could explain the gapincome between women and men such as compensating differentials, employercharacteristics and secondary effects

In accordance with the Fawcett Society organization, which is the UnitedKingdom leading charity promoting gender equality and women’s rights athome, at work and in public life, there are several main causes of gender gap inearnings, such as the motherhood penalty, concentration in low wage sectorsand outright discrimination With regard to the motherhood penalty, it is saidthat due to childcare responsibility, women tend to choose part-time workrather than full-time While part-time jobs do not require high skill, also meansits employee is paid hourly wage lower than full-time job This organizationalso indicates that the average income of women earn 19.1% less than menwhen doing the same part job time, whereas in work full time, this gap isshortened about 9.4% Once women choose to reduce working hours to spendtime with their children, they have sacrificed both current and future income.Occupational discrimination or prejudices around the role of men and womenstill exist Job at cleaning, catering are often undertaken by women and paid

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less than the construction work, engineering which are done by men TheFawcett Society organization also points out that 78% of the working in health,social care, low-paid sectors, shall be in charge by women Whereas men do88% of job in STEM (Science, Technology, Engineering and Mathematics)industries, where have high payment Similar to above stereotypes, outrightdiscrimination against women remains in the workplace Discrimination isexpressed through direct and indirect form Direct discrimination happenswhen with the same job, women get a lower wage than men Meanwhile,indirect discrimination showing men take a higher earning than women in ajob of equivalent value.

Concurred with Fawcett Society about causes of gender incomedifference, the European Commission which is the EU's executive body andrepresents the interests of the European Union as a whole (not the interests ofindividual countries) supposes the source of male-female income differencecan be created by “direct discrimination, the undervaluing of women’s work,segregation in the labor market, traditions and stereotypes, balancing workand private life” under the brochure “Tackling the gender pay gap in theEuropean Union” This brochure has been published by European Commission

in 2011 Because of the effectiveness of European Union and nationallegislation, hence direct discrimination only explains a small part of genderincome difference One of the main causes for women are paid less than menwhen doing a job of equal value is the way women's competences are valuedcompared to men's Women often do the jobs requiring similar skills,qualifications or experience, such as job in health, education, and publicadministration where are poorly paid and undervalued In details, based on theresearch of the European Commission organization, there were 32% of femaleworkers participated in part time job, whereas this figure only accounted for8% of male workers across the Europe The reason why women employees

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preferred part time job to full time job was that they had to take on the role offamily care.

Meanwhile, in Vietnam, following the research of Nguyet and Binh(2007), the authors have pointed out the two groups which impact on genderearnings gap, there are noneconomic and economic groups The conceptions oftraditional gender inequality represents for noneconomic factor Theseconcepts about gender inequality and the social stereotypes are barriers to thedevelopment of gender balance, gender equality relations It was the feudalconception from thousands of years about the position and value of women infamily and society Under the feudal conception, men have the right toparticipate in society, perform the function of production, and takeresponsibility as well as manage society, while women look after the home andchildren Men who have full command and disposition all large things in thefamily, whereas women execute, serve their husband and children The womenare completely dependent on men, do not have any right to dispose of anythingeven for themselves Economic factor includes of characteristics of employee,education’s worker, labor element, and geography In details, characteristics ofworkers consist of those elements related to physical and gender such as age,marital status, health and per capita expenditure Education is a very importantfactor affecting the income of workers Jobs requiring high qualifications, skillscomplexity have higher wages than the simply jobs Therefore, people canaccess to higher education will have the opportunity to seek jobs with higherincomes Labor element includes professions, professional, work experience,work organization Typically, employee who works in the agricultural sector ispaid less than works in industry and service sector due to requirements andqualifications of this sector are low In the same occupations, the workers'income depends on their expertise and work experience, since the complexwork give a better wage than an easy job Moreover, employees with more

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experiences usually do job faster and better than those with less experience,hence they take higher wage.

2.2.2 The factors impact on gender wage gap

2.2.2.1 Non-economic factor

According to the World Bank (WB) in 2001, the concepts of genderinequality or the stereotypes of society about gender are obstacles to thedevelopment of gender balance, gender equality relationship between maleand female

The perspectives from feudal time about the values, position of women

in family and society is very backward, but it is not easy to change, such as menare entitled to participate in social work, stand out performing the function ofproduction, take responsible for social management, these things make menrespected by society While women take on the role of reproduction andcommunity, care and regeneration of labor, such as homeworker, childcare.Most of the works often do not generate income and they then completelydepend on men, nor have any right to dispose of anything even for themselves.These are the causes that limit opportunities for women to access education,career choices These disadvantages prevent the improvement of the economicstatus of women and thus create inequalities in income than men

2.2.2.2 Economic factors

2.2.2.2.1 Characteristics of employee

Characteristics of worker include the factors related to the physical andthe gender, such as age, health, and marital status of employee The empiricalevidences show that the income of an employee depends on the age of hers.When the worker is young, she gets a low wage, after that the wage will beincreased along with the growth and accumulation of her human capital, andmitigates when she is elderly Moreover, the income of the young man worker

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often increases faster than the young woman worker (Bojas, 2005) Next,health is also one of the factors that make up the income gap between men andwomen, the gender characteristics prescribe different conditions in men andwomen, these differences lead to the division of work in which theconcentration of women in some careers is relatively few, this makes the wage

of the women do not avoid decline and thus cause wage differences betweenmen and women Marital status has a similar impact to male workers andfemale workers, when they get married and have children, due to increase ofthe needs for their living, this makes the demand for work seeking in order toearn extra incomes for both male and female labor However, there is differentthing between male and female, women have to take on more responsibilities

to care for family and children, since these limit the opportunity to participate

in production and hence their income is lower than men's

2.2.2.2.2 Education

Education is a very important factor affecting the income of workers.Wage will be increased for the jobs requiring high qualifications and complexskills Boris (2005) presented the relationship between income and years ofschooling of workers through wage and education curve, pointed outbusinesses were willing to pay the salary corresponding to each level ofeducation, expressed the relationship between salary and number of years ofschooling

2.2.2.2.3 Employment

Employment factors comprise of industry, expertise, experience andtype of enterprise Typically, the employee works in the agricultural sector ispaid less than other sectors because this sector does not require high skills andqualifications from employees, they just have good physical in order toundertake work well Besides, in the same industry, workers' income alsodepend on the expertise and experience of the themselves, because the

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complex work is paid with higher wage than simple job and the worker has thetime to expose job longer they can complete the job faster and better thanthose with less experience, so they then get higher wage.

Type of enterprise is also one of the factors that affect earnings betweenmen and women, the organizations are strictly governed by law, they willcompliance the policy of gender equality and therefore women labor willreceive income with more equality

2.2.2.2.4 Geographic factor

Income is paid to employees with ensuring to cover their life and family.Because the standards of living and expenditures are different in variousregions, so income is also different in diverse regions Ordinary, labors in urbanarea have higher income than rural areas in terms of the same nature andcomplexity job

2.3 Measurement of gender pay gap

The gender wage gap refers to the difference in income between femaleand male worker (Pay Equity Commission, 2012) In addition, this gap is alsocaptured as a percentage (Statistics New Zealand, 2014) as below formula:

In which, pay for worker can be measured by hourly, weekly or monthly.More details, when the purpose focuses on analyzing labor market and povertyoutcomes for numerous of men and women, monthly earnings are preferable.Meanwhile, hourly earnings are favorable in the case comparison earnings ofsmaller groups of workers in the same level of occupations or enterprises, withthe more appropriate Usually, the gap measured by hours is smaller than byover the longer time periods This is because women have tendency to workfewer hours for income than men do in most of the nations around the world

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2.4 The impact on economic - social development of gender wage gap

Come after World Bank 2001 (WB), gender inequality in income is one ofthe causes of poverty as well as a factor in a significant impediment toeconomic development Besides, the injustices that women suffer due toinequality, it also has the disadvantage of their family Income from labor is akey source of renewable energy to women workers not only of themselves butalso the resources to ensure the quality of their family life The status of genderinequality in income leads to women are limited regenerative ability of labor,restricted access to technology, education and training along with moredifficulties due to burden of workload families Furthermore, lacking ofdiscretion in the family is the cause of the higher mortality rate of mothers andinfants, family health and less children schooling attendance, especially femalechildren

Moreover, gender inequalities in income, reduces productivity in thebarracks and businesses, thereby, limits the potential for poverty reductionand sustains economic progress By obstructing the process of accumulation ofhuman capital as well as restricting access to productive resources, the right toengage in production activities, leading to efficient allocation of resources insociety Having lower income than men also causes limitation of creativepossibilities and motivation to improve and enhance the productivity of labor

in women

In addition, gender equality, especially gender equality in income istargeted toward of all nations Gender equality in income enables to maintain aprogress of society, prosperity and sustainable development It demonstratesthe soundness, efficiency and revolutionary in commitment andimplementation of guidelines and policies of countries in order to implementthese objectives In other words, gender inequality in incomes is one of the

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reasons for weakening the ability to manage the state of a country, therebyreducing the validity of the policy to develop.

Aside from, empirical researches typically Haas (2007) has conducted astudy on the relationship between economic development and gender pay gap

or the nexus of education attendance and wage inequality to the size of gendergap in earnings as well In Hass’s study, the author not only based on the theory

of both supply and demand and human capital but also applied the inverted – Ucurve of Simon Kuznets Kuznets’ inverted – U curve model which has thehypothesis states that in a country the per capita income and the amount ofincome have the relations with each other Cross – sectional data has beencollected from the Unit Nations Human Development report in the year of

2005 Besides, a ratio of male - female earnings has been used as dependentvariable, meanwhile an independent variable was deputized by gross domesticproduct (GDP) per capita Although the research has some unavoidablelimitations, particular usages of the GDP per capital represented the economicdevelopment, in other words, it was not all aspects of development that would

be and also, the role of human capital was not supported in this paper.Nevertheless, the results of the OLS regression analysis have showed that thesize of male – female income difference was increasing when the economicprocess developed, exception for high level of per capital income; wageinequality and gender income difference had the positive relations

2.5 The impact on male – female income difference of female manager

Under the social psychology of intergroup relations of Tajfel (1982),individuals have tendency to prioritize members in their group than themembers in other groups Following this theory, it might be stated that women

in managerial titles are likely to appreciate female workers than male workers,this can result in the influence on the wage of their subordinates and make thegender income difference narrower There are varieties of studies about the

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impact of gender characteristics of manager on the gender gap in earnings,

such as research of Hultin and Szulkin (1999, 2003), Cohen and Huffman

(2007), Cardoso and Winter-Ebmer (2010), Shin (2012), Hirsch (2013), Hedija(2015) and so on

Hultin and Szulkin (1999) based on two interrelated datasets from theSwedish Level of Living Survey and the Swedish Establishment Survey in theyear of 1991 in order to consider the effect of gender characteristics ofmanager on the wage of subordinated worker in Sweden The authorsestimated the wage function of male and female workers, whereas one of theexplanatory variables was the share of male on managers and supervisors, andthis function was estimated separately for private and public sectors Fromtheir research, they came up with a conclusion that the proportion of maleamong managers and supervisors had a significantly negative effect on wage offemale And this effect on private sector was clearly stronger than in publicsector

The same result was conducted by Hultin and Szulkin in 2003, statedthat the larger males were participant in managers and supervisors then thewider male – female income difference became In this research, Hultin andSzulkin used a matched employer – employee data, and the data coveredamount of private firms of Sweden in the year of 2003 Aside from this, multi-level model was applied to examine the influence of male share on managersand supervisors on the gender wage gap as well Hierarchical linear modeling

or multilevel modeling is one of the appropriate statistical methods which areapplied for nested data (Bryk and Raudenbush, 1992) This method is used forsome purposes such as prediction, data reduction and causal inference(Gelman, 2012)

Another research related to this field – gender income difference, Cohenand Huffman (2007) has used data from all large U.S private sector firms which

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were collected by the U.S Equal employment opportunity commission (EEOC)

in 2002 Along with applying the hierarchical linear model, it allowed theauthors to decompose the total variances in wages into three component parts:individuals, jobs and local industries Cohen and Huffman examined theinfluences of both the representation of women among managers and statusposition of female manager on wages for men and women Their findingsconfirmed the gender earnings gap reduced when having more females amongmanagers, especially female managers hold high – status positions

Cardoso and Winter-Ebmer (2010) also explored the influence of femaleemployers and gender segregation on wages in Portugal Their research based

on a linked employer – employee dataset which annually collected by theMinistry of employment in Portugal for the period from 1987 to 2000 Thesedata covered the population of private firms with wage earns in themanufacturing and service industries The results from running OLS regressionhave been found out that female benefited from higher wages in female – ledfirm than in male – led firm More especially, the male – female incomedifference reduced by 1.5% when female led However, the findings alsoshowed that the wages of both female and male were lower when there was ahigher share of female in a firm

Shin (2012) has used compensation data from 7,711 executives whomanaged 831 U.S firms during the period from 1998 to 2005, in order to testthe hypothesis that there was a larger of female directors on the compensationcommittee or board of directors, there was smaller gender gap in payment inthere Moreover, another hypothesis assumed in this study was that whenfemale seated on top decision – maker, which meant they had a reallyimportant role in the firm, this might contribute the career success of theirfemale subordinates The benefits brought from such female leaders wouldlead to narrow the male - female gap on earnings However, this hypothesis has

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not been supported due to the lack of data This hypothesis needed morenumbers and caculations Beside, his research has applied the random – effectregression with robust standard errors, whereas information of observationswas used to estimate the coefficiencies and so time–invariant variables Thefindings implied that creating greater positions has definitely effects on femaleexecutives’ compensation when having more female leaders on the topmanager or on the board of directors, then the gender pay gap was clearlyreduced.

Next, in the study of Hirsch (2013), the author used the cross – sectionalmodel of linked employer – employee data in 2008 The dataset had beencollected by Institute for employment research and had been matched betweenGerman plants and all employees who worked for these plants The researchaimed to test whether the unexplained gender pay gap was smaller in plantswith higher share of females among managers or not In this study, Hirschapplied the Mincer wage regressions and added literatures in two dimensions,controlled for segregation effects by adding job – cell effects as well asinvestigated the impacts on gender earnings gap of first and second – levelmanagers The findings had the same conclusion with some previousresearches regarding to gender gap in earnings There was no doubt that theunexplained male – female income difference was significantly lower in plantswith higher proportion of female among managers Furthermore, the effect waslarger for the second – level manager than first – level manager because thesecond – level managers were more likely to be involved with hiring, grouping,and making promotion decision with their subordinates

Another research, in the study of Hedija (2015), this study has exploredthe influence of the gender characteristics in middle managerial position on thewage of directly subordinates Differing from the other studies, Hedija’ paperhas used the data linked superior – subordinate on the level of individual

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companies for the approach Data has been collected from two specific Czechhospitals, which were located in the same town The two methods have beenapplied to investigate the impact of gender characteristics on subordinates.There were two estimations, the wage function and the average treatmenteffect on the treated estimation method The analysis of Mincer – type wagefunction showed that the gender pay gap decreased by 6.18 percentage pointswhen having the female among managers of the department In addition,Hedija also used another method to prove his view on this He applied theaverage treatment effect on the treated estimation method This method alsosuggested that the gender pay gap was about 5.1 percentage points ofemployees under female middle managers and lower when compared to theemployees under male middle managers The findings were similar in theapproach using the data linked superior and subordinate data.

Conceptual framework of the thesis as below

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