Academic literature on the topic 'Wages Wage differential Education China'
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Journal articles on the topic "Wages Wage differential Education China"
HESHMATI, ALMAS, and BIWEI SU. "ANALYSIS OF GENDER WAGE DIFFERENTIAL IN CHINA’S URBAN LABOR MARKET." Singapore Economic Review 62, no. 02 (April 28, 2017): 423–45. http://dx.doi.org/10.1142/s021759081550071x.
Full textLang, Kevin, and Michael Manove. "Education and Labor Market Discrimination." American Economic Review 101, no. 4 (June 1, 2011): 1467–96. http://dx.doi.org/10.1257/aer.101.4.1467.
Full textMueen Nasir, Zafar, and Nasir Iqbal. "Employers Size Wage Differential: Does Investment in Human Capital Matter?" Pakistan Development Review 48, no. 4II (December 1, 2009): 509–21. http://dx.doi.org/10.30541/v48i4iipp.509-521.
Full textDou, Jiangli, Limin Du, Ken Wang, Hailin Sun, and Chenggang Zhang. "Wage Penalties or Wage Premiums? A Socioeconomic Analysis of Gender Disparity in Obesity in Urban China." International Journal of Environmental Research and Public Health 17, no. 19 (September 24, 2020): 7004. http://dx.doi.org/10.3390/ijerph17197004.
Full textMessinis, George. "Returns to education and urban-migrant wage differentials in China: IV quantile treatment effects." China Economic Review 26 (September 2013): 39–55. http://dx.doi.org/10.1016/j.chieco.2013.03.006.
Full textFitria, Rizky. "Wage Premium of the Public Sector in Indonesia." Jurnal Wacana Kinerja: Kajian Praktis-Akademis Kinerja dan Administrasi Pelayanan Publik 21, no. 2 (November 26, 2018): 99. http://dx.doi.org/10.31845/jwk.v21i2.96.
Full textSchultz, T. Paul, and Germano Mwabu. "Labor Unions and the Distribution of Wages and Employment in South Africa." ILR Review 51, no. 4 (July 1998): 680–703. http://dx.doi.org/10.1177/001979399805100407.
Full textRozelle, Scott, Yiran Xia, Dimitris Friesen, Bronson Vanderjack, and Nourya Cohen. "Moving Beyond Lewis: Employment and Wage Trends in China’s High- and Low-Skilled Industries and the Emergence of an Era of Polarization." Comparative Economic Studies 62, no. 4 (October 21, 2020): 555–89. http://dx.doi.org/10.1057/s41294-020-00137-w.
Full textBlázquez, Maite, Ainhoa Herrarte, and Raquel Llorente-Heras. "Evidence on the Wage Returns of Advanced Vocational Training and University Education in Spain." Research in Applied Economics 7, no. 3 (August 19, 2015): 1. http://dx.doi.org/10.5296/rae.v7i3.7904.
Full textXie, Donghong. "Hukou System, Horizontal, Vertical, and Full Job-Education Mismatch and Wage Progression among College Floating Population in Beijing, China." Migration Letters 17, no. 5 (September 28, 2020): 609–20. http://dx.doi.org/10.33182/ml.v17i5.949.
Full textDissertations / Theses on the topic "Wages Wage differential Education China"
Wang, Rong. "Earnings and education in urban China in 1991." 1999. http://catalog.hathitrust.org/api/volumes/oclc/45013036.html.
Full text"Inter-age cohort difference in the returns to education and the gender earning gap in Hong Kong." 1999. http://library.cuhk.edu.hk/record=b5889836.
Full textThesis submitted in: September 1998.
Thesis (M.Phil.)--Chinese University of Hong Kong, 1999.
Includes bibliographical references (leaves 47-48).
Abstract also in Chinese.
ACKNOWLEDGEMENTS --- p.i
ABSTRACT --- p.ii
TABLE OF CONTENTS --- p.iii
LIST OF TABLES --- p.v
Chapter
Chapter I --- INTRODUCTION --- p.1
Chapter II --- LITERATURE REVIEW --- p.5
Chapter 2.1 --- Different Approach to Estimate the Rate of Return to Education --- p.5
Chapter 2.2 --- Age-Cohort Analysis --- p.8
Chapter 2.3 --- Gender Earning Gaps and Decomposition of Wage Differentials --- p.9
Chapter III --- DATA DESCRIPTION --- p.13
Chapter 3.1 --- Data and Methodology --- p.13
Chapter 3.2 --- Education Attainment of Males and Females of Different Cohort --- p.15
Chapter 3.3 --- Monthly Earnings of Individual with Different Educational Level --- p.17
Chapter IV --- REGRESSION ANALYSIS FOR THE RETURNS TO EDUCATION AND THE GENDER EARNING GAPS IN HONG KONG --- p.18
Chapter 4.1 --- Determinants of Monthly Earnings and the Returns to Education --- p.18
Chapter 4.2 --- Returns to Education with respect to Marrage and Age Cohorts --- p.22
Chapter 4.3 --- The Blinder-Oaxaca Decomposition --- p.23
Chapter V --- MULTINOMIAL LOGIT ANALYSIS FOR THE RETURNS TO EDUCATION AND THE GENDER EARNING GAPS IN HONG KONG --- p.28
Chapter 5.1 --- The Occupational Distribution --- p.28
Chapter 5.2 --- The Gender Earning Gap across Occupations --- p.31
Chapter 5.3 --- Multinomial Logit Model and the Effect of Educational Attainment --- p.32
Chapter 5.4 --- Prediction of a Nondiscriminatory Occupational Structure for Female --- p.35
Chapter 5.5 --- Occupational Segregation and the Brown et al. Decomposition Method --- p.36
Chapter VI --- POLICY IMPLICATIONS --- p.43
Chapter VII --- SUMMARY AND CONCLUSIONS --- p.45
REFERENCES --- p.47
TABLES --- p.49
"An empirical analysis of the gender wage differential in urban China." 2002. http://library.cuhk.edu.hk/record=b5891284.
Full textThesis (M.Phil.)--Chinese University of Hong Kong, 2002.
Includes bibliographical references (leaves 187-191).
Abstracts in English and Chinese.
Abstract --- p.i
Acknowledgement --- p.iii
Table of Contents --- p.v
List of Figures --- p.vi
List of Tables --- p.vii
Chapter Chapter 1. --- Introduction --- p.1
Chapter Chapter 2. --- Literature Review --- p.8
Chapter Chapter 3. --- Data --- p.32
Chapter Chapter 4. --- The Gender Wage Differential: A First Look --- p.49
Chapter Chapter 5. --- Returns to Schooling --- p.89
Chapter Chapter 6. --- Decomposition of Gender Wage Differential --- p.140
Chapter Chapter 7. --- Change of the Gender Wage Differentials from 1988through1999 --- p.163
Chapter Chapter 8. --- Conclusion --- p.178
Appendix: Alternative Treatments of Schooling Years and Potential Experience --- p.181
References --- p.187
Aydin, Necati Lunstrum John P. "Gender wage differential and the under-representation of women in IT education programs & IT workforce." 2003. http://etd.lib.fsu.edu/theses/available/etd-11252003-050633.
Full textAdvisor: John P. Lunstrum, Florida State University, College of Education, Dept. of Middle and Secondary Education. Title and description from dissertation home page (viewed Mar. 9, 2004). Includes bibliographical references.
"教师工资差异及影响因素: 基于甘肃农村的实证研究." 2012. http://library.cuhk.edu.hk/record=b5549366.
Full text本研究利用科学抽样的微观数据,以特征工资理论的投资假说和消费假说为基础,探讨甘肃农村教师收入差异的前因后果。运用多层线性技术对“特征的逐层分解凸显了环境结构变量对教师工资的层次性影响。研究的主要内容如下:(1)教师个人特征和教职岗位特征在工资及差异结构中的影响性质和强度;(2)工资和包括工作条件及生活环境在内的教职岗位特征在教师职业效用中的替代性及其办学成本意义;(3)地区政策与教师工资差异格局及其教育财政涵义。
通过对甘肃这个边远贫穷地区农村教师工资进行微观计量分析,本研究得出如下主要结论:
教师个人特征和教职岗位特征均是工资差异来源的主成因素。个人特征和岗位特征在收入差异形成过程中分别对应特征工资理论之投资性收益和消费性补偿。一方面,个人素质越高,收入越高;另一方面,与优越的岗位环境相联系的是更低的工资收入。换言之,艰苦的条件对应补偿性工资差异。
工资与教职岗位环境特征在教师职业效用偏好结构中具有替代性。岗位环境与工资的替代率介于-0.03和0.05间。负值代表教师愿意接受较低的工资以换取更优越的工作环境和社区设施,即为在某优越的县(区)工作而承受的工资损失。因此,教学条件和生活环境更艰苦的边穷地区需提供等效用的经济补偿才能保证师资质量。
出于经济补偿的考虑,扶贫政策比边远艰苦地区津补贴方案更有效地鉴别了岗位环境的恶劣程度。贫困地区的教学条件和生活环境更艰苦,由此带来的心理负效用反映在消费性补偿中。与“贫困相联系的不良岗位属性产生的负效用折合成工资约15%。
结合教师偏好和地区政策,更边远艰苦或贫困地区可以通过教师工资成本指数的形式,将额外聘用成本加权到教育财政预算中,以实现均衡发展和社会公平。国贫县聘用一名同等质量的普通合格教师,边际成本高于平均水平10%。但办学成本与边远艰苦等级的关系没有固定规律:更边远的三类地区招聘一名教师的成本只相当于平均水平的74%;而二类地区则需多花3.6-11.8%的附加成本。
本研究的政策启示包括:
第一,边远艰苦地区政策和扶贫政策的针对性不同。虽然边远艰苦地区津补贴政策所鉴定的县(区)地理属性可能具有重要的公共财政意义,但扶贫政策有更明显的区分度,可提供更清晰的教育财政政策启示。
第二,将原始资源禀赋等外部不可控因素造成的额外人员开支纳入财政方案中,并以教师工资成本指数的形式提升其预算等级,是保障各地师资配置从而实现教育均衡和机会均等的公平而有效方法。
Based on the Gansu Survey of Children and Families(GSCF, 2007), this thesis investigates the hierarchical effects of teacher personal characteristics and teaching job attributes as determinants of wages and sources of variations from the perspective of Hedonic Wage Theory.
Based on the Hedonic Wage Theory, this study has made use of a scientific sampled micro data set to analyze teacher wage disparities in rural Gansu, which is a typical less-developed northwestern remote province in Mainland China. Hierarchical Linear Modeling(HLM) is employed to study the regional effects. Major foci of this thesis consist of: (1)The nature and strength of economic values of teacher personal characteristics and teaching job attributes. (2)The substitution between pecuniary rewards from wages and non-pecuniary benefit derived from working conditions and living amenities, and its implications for teacher personnel costs. (3)How regional policies are related to teacher wage variations and what can government do to narrow the consequential gap in education service.
The conclusions of the study include:
Both teacher personal characteristics and teaching job attributes are major determining factors of wages. Human capital components proxying higher teacher quality are positively compensated, while better daily working and living conditions are paid in the form of lower wages. In other words, hardships are associated with compensating wage differentials.
Working conditions in schools and living conditions in community where the teaching position is located are substitutable with wages. The substitution between wages and job conditions varies from -0.03 to 0.05. Negative values mean that teachers are willing to accept lower wages to work in a better-off county. It costs more for hard-to-staff regions to recruit a comparable teacher.
In consideration of wage compensations, the “Helping the Poor policy can give a better indication than the “Subsidy to Remote and Difficult Districts Scheme. Dis-utilities from uncomfortable working and living environment in poor counties cost 15% extra wage expenditures.
Accounting for teacher utility preference, disadvantageous counties classified by economic-geographic features should be financially aided based on teacher cost index(TCI) to recruit and retain quality teachers. Simulation implies that counties labeled as “poor should be provided 10% more marginal personnel budget in order to hire an average teacher who meets the basic education requirements. However, fiscal assistances based on degree of remoteness do not show consistent patterns. The most remote counties can hire a comparable teacher at a cost of only 74% of the average, while those second most remote ones pay 3.6-11.8% more.
There are two major policy implications from the results of the study:
(1)The “Subsidy to Remote and Difficult Districts Scheme and the “Helping the Poor policy have different focuses. Though the former scheme may have public-goods considerations, the latter can give a clear and differentiative policy implication for education finance.
(2)It would be an equitable and efficient way to incorporate uncontrollable external factors into a teacher wage index(TCI), and to use it to adjust education financial strategies to these difficult areas.
Detailed summary in vernacular field only.
Detailed summary in vernacular field only.
Detailed summary in vernacular field only.
Detailed summary in vernacular field only.
Detailed summary in vernacular field only.
Detailed summary in vernacular field only.
Detailed summary in vernacular field only.
Detailed summary in vernacular field only.
Detailed summary in vernacular field only.
Detailed summary in vernacular field only.
馬紅梅.
Thesis (Ph.D.)--Chinese University of Hong Kong, 2012.
Includes bibliographical references (leaves 160-173)
Abstracts in Chinese and English.
Ma Hongmei.
Chapter 第一章 --- 研究问题与背景 --- p.1
Chapter 第一节 --- 问题陈述 --- p.1
Chapter 一、 --- 研究问题 --- p.1
Chapter 二、 --- 研究目的 --- p.3
Chapter 三、 --- 研究意义 --- p.5
Chapter 第二节 --- 研究背景 --- p.7
Chapter 一、 --- 现实背景 --- p.7
Chapter 二、 --- 政策背景 --- p.12
Chapter 第三节 --- 论文结构 --- p.25
Chapter 第二章 --- 文献综述 --- p.27
Chapter 第一节 --- 特征工资理论的内容概要 --- p.27
Chapter 一、 --- 特征二因素主张 --- p.28
Chapter 二、 --- 特征的双重补偿 --- p.29
Chapter 三、 --- 职业效用最大化 --- p.32
Chapter 第二节 --- 特征工资理论之消费假说 --- p.33
Chapter 一、 --- 消费性补偿的工资理论 --- p.33
Chapter 二、 --- 消费性补偿经济学分析 --- p.34
Chapter 三、 --- 消费性补偿的现实意义 --- p.39
Chapter 第三节 --- 教师工资特征性补偿综述 --- p.44
Chapter 一、 --- 研究概况 --- p.44
Chapter 二、 --- 教师特征 --- p.47
Chapter 三、 --- 教职特征 --- p.48
Chapter 第四节 --- 教师工资分解的研究启示 --- p.50
Chapter 一、 --- 国外文献 --- p.51
Chapter 二、 --- 国内文献 --- p.52
Chapter 第三章 --- 研究设计 --- p.56
Chapter 第一节 --- 研究方法 --- p.56
Chapter 第二节 --- 数据描述 --- p.60
Chapter 一、 --- 数据来源 --- p.60
Chapter 二、 --- 样本信息 --- p.61
Chapter 第三节 --- 变量界定与分布 --- p.64
Chapter 一、 --- 因变量:教师月工资 --- p.65
Chapter 二、 --- 自变量:个人特征和岗位特征 --- p.68
Chapter 第四节 --- 研究架构 --- p.85
Chapter 一、 --- 分析结构 --- p.85
Chapter 二、 --- 模型界定 --- p.86
Chapter 第四章 --- 教师工资差异的形成机制 --- p.89
Chapter 第一节 --- 教师工资的影响因素 --- p.89
Chapter 一、 --- 教师个人特征:主导因素 --- p.89
Chapter 二、 --- 教职岗位特征:关键因素 --- p.90
Chapter 三、 --- 小结:决定教师工资的双重特征 --- p.91
Chapter 第二节 --- 基于教师个人特征的投资性收益 --- p.92
Chapter 一、 --- 解释变量:人力资本特征 --- p.92
Chapter 二、 --- 控制变量:个人背景特征 --- p.97
Chapter 三、 --- 小结:教师个人特征对工资的影响 --- p.103
Chapter 第三节 --- 基于教职岗位特征的消费性补偿 --- p.104
Chapter 一、 --- 学校实时工作环境 --- p.104
Chapter 二、 --- 县(区)社区人居环境 --- p.111
Chapter 三、 --- 小结:教职岗位特征对工资的影响 --- p.117
Chapter 第四节 --- 本章小结 --- p.119
Chapter 第五章 --- 国家政策对教师工资的影响 --- p.125
Chapter 第一节 --- 地区政策与教师工资 --- p.125
Chapter 一、 --- 边远艰苦地区政策与教师工资 --- p.125
Chapter 二、 --- 国家扶贫政策与教师工资 --- p.131
Chapter 三、 --- 小结:边穷地区政策与教师工资 --- p.134
Chapter 第二节 --- 地区政策的教育成本意义 --- p.136
Chapter 一、 --- 教师人员成本指数的建构 --- p.136
Chapter 二、 --- 边穷属性的成本指数 --- p.138
Chapter 三、 --- 小结:边穷地区政策的教育成本意义 --- p.143
Chapter 第三节 --- 本章小结 --- p.145
Chapter 第六章 --- 结语 --- p.148
Chapter 第一节 --- 主要实证结果 --- p.148
Chapter 一、 --- 教师工资差异的影响因素:个人特征与岗位特征 --- p.148
Chapter 二、 --- 教师工资差异的形成机制:特征性双重补偿 --- p.149
Chapter 三、 --- 边穷地区政策与教师工资的关系:消费性补偿 --- p.151
Chapter 四、 --- 地区政策的教育财政意义:教师工资成本指数化 --- p.152
Chapter 第二节 --- 政策启示 --- p.153
Chapter 一、 --- 教育财政意义 --- p.153
Chapter 二、 --- 完善地区政策 --- p.154
Chapter 第三节 --- 研究总结 --- p.155
Chapter 一、 --- 研究贡献 --- p.155
Chapter 二、 --- 研究不足 --- p.157
Chapter 三、 --- 研究展望 --- p.158
参考文献 --- p.160
附录 --- p.160
Book chapters on the topic "Wages Wage differential Education China"
Li, Ling, Jinzhen Lu, and Jiafu Zheng. "A Model for Rural Teachers Supplement in the Western Part of China: An Approach Based on the Compensatory Wage Differential Theory." In Chinese Elementary Education System Reform in Rural, Pastoral, Ethnic, and Private Schools, 105–18. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4561-5_4.
Full textConference papers on the topic "Wages Wage differential Education China"
Zhu, Yuyang. "The Influencing Factors of Labor Force Wages in China-Based on Empirical Analysis of Mincer Wage Equation." In Proceedings of the 2018 International Symposium on Humanities and Social Sciences, Management and Education Engineering (HSSMEE 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/hssmee-18.2018.13.
Full text