A Meta-analysis on the Heterogeneity of Human Capital Return Rates in China's Urban and Rural Areas
DOI: 10.23977/infse.2023.040305 | Downloads: 5 | Views: 376
Author(s)
Shanshan Ma 1, Simiao Wu 2, Yazhou Zhang 1
Affiliation(s)
1 Hefei University of Economics, Hefei, Anhui, 230001, China
2 Anhui Agricultural University, Hefei, Anhui, 230001, China
Corresponding Author
Shanshan MaABSTRACT
By optimizing human capital in rural areas, a steady increase in the rates of return on human capital in rural areas will be achieved, and the fundamental problem of the difference in the rate of return on human capital between urban and rural areas will be solved.Based on the Chinese database "China Knowledge Network Database", "China Weipu Network Database", "China Wanfang Network Database", "Baidu Academic" and "Google Scholar Mirror", this article conducts a meta-analysis on the return to human capital in China . The forest map, Begger's test and meta-regression analysis are used as analysis methods to determine and test the heterogeneity. According to the forest map, the β1 effect size is combined and calculated that [Overall (I-squared) = 99.3%> 50%, p=0.000]; (Heterogeneity between groups:P =0.000 <0.05 ). According to the forest map, the β2 effect size is combined and calculated that [Overall (I-squared) =99.6%>50%, p=0.000]; (Heterogeneity between groups:P =0.003<0.05).According to the forest map, the Adj-R²effect size is combined and calculated that [Overall (I-squared) =99.8%>50%, p=0.000]; (Heterogeneity between groups:P =0.000<0.05). According to meta-regression analysis, the results of Adj-R² (Coef.)=0.081 >β1 (Coef.)=0.046>β2 (Coef.)=0.009 Indicate that the explanation strength of urban and rural factors to the human capital return rate under comprehensive considerations, namely Adj-R², is 8.1%, the explanation strength of urban and rural factors to the education return rate, namely β1, is 4.6%, and the explanation strength of urban and rural factors to the work experience rate of return, namely β2, is 0.09%. There are obvious differences between the different studies on the rate of return on human capital in China and the urban and rural areas; there is no publication bias in all the research variables; the urban and rural factors have a certain impact on the rate of return on human capital, mainly through education and work experience, among which urban and rural factors have the greatest impact on education of human capital.
KEYWORDS
Human capital return rates; Meta-analysis; Educational return rates; Work experience return ratesCITE THIS PAPER
Shanshan Ma, Simiao Wu, Yazhou Zhang, A Meta-analysis on the Heterogeneity of Human Capital Return Rates in China's Urban and Rural Areas. Information Systems and Economics (2023) Vol. 4: 37-41. DOI: http://dx.doi.org/10.23977/infse.2023.040305.
REFERENCES
[1] An X.H. (2002). Analyzing the Method of Measuring the Personal Rate of Return in the Educational Investment. Journal of Northwest Normal University (Social Sciences), 03, 96-100.
[2] Cao L. J. &Yan X. K. (2016). Urban-Rural Differences in Rates of Return to Education: a Phased Study. Fudan Education Forum, 14(05), 81-88.
[3] Ji J. (1979). Introduction to Educational Economics. Economic Dynamics, 05, 43-45.
[4] Jiang D. K., Zhang T. Q. &Yu X. Q. (2011).Comparative Research on Rural & Urban Human Capital Gains— Empirial Analysis Based on Cross-Section Data of Chongqing. Science & Technology and Economy, 24(03), 86-90.
[5] Huai B. X. (1998).A Preliminary Study on the Measurement Method of the Rate of Return on Educational Investment. Jiangsu Higher Education, 03, 46-49.
[6] He G.Y. &Hong Y. (1998). Research on the Measurement Method of Educational Investment Return Rate. Statistical Research, 04, 54-58.
[7] Huang J. & Gao Q. (2016) Household Registration Identity and Returns on Education in Urban China: A Meta-Analysis of Quantile Regression Estimates. Finance & Economics, 03, 113-121.
[8] Johnson E. N., & Chow G. C. (1997). Rates of Return to Schooling in China. Pacific Economic Review.
Downloads: | 7845 |
---|---|
Visits: | 151418 |
Sponsors, Associates, and Links
-
Accounting, Auditing and Finance
-
Industrial Engineering and Innovation Management
-
Tourism Management and Technology Economy
-
Journal of Computational and Financial Econometrics
-
Financial Engineering and Risk Management
-
Accounting and Corporate Management
-
Social Security and Administration Management
-
Population, Resources & Environmental Economics
-
Statistics & Quantitative Economics
-
Agricultural & Forestry Economics and Management
-
Social Medicine and Health Management
-
Land Resource Management
-
Information, Library and Archival Science
-
Journal of Human Resource Development
-
Manufacturing and Service Operations Management
-
Operational Research and Cybernetics