scholarly journals Pengaruh Human Capital Spillover Effects terhadap Produktivitas Industri Pengolahan Kawasan Kedungsepur

2018 ◽  
Vol 5 (2) ◽  
pp. 226-234 ◽  
Author(s):  
Sessa Anata Salam ◽  
Bambang Prishardoyo
Keyword(s):  
Higher Education ◽  
Human Capital ◽  
Manufacturing Industry ◽  
Spillover Effect ◽  
Spillover Effects ◽  
Ordinary Least Squares ◽  
Industrial Workers ◽  
Level Of Education ◽  
Central Java ◽  
Lower Education

Tujuan dari penelitian ini untuk mengetahui terdapat atau tidaknya pengaruh human capital spillover effects terhadap produktivitas industri pengolahan di Kawasan Kedungsepur. Industrialisasi sejak masa orde baru periode 1967-1997 telah mengubah struktur perekonomian Indonesia. Kawasan Kedungsepur menjadi lokasi penelitian dikarenakan terdapatnya potensi dalam bidang industri dibandingkan dengan 8 (delapan) kawasan strategis lainnya di Provinsi Jawa Tengah. Pada tahun 2007-2012 perkembangan PDRB sektor industri pengolahan cenderung mengalami penurunan. Salah satu yang mempengaruhi produktivitas ialah SDM yang berkualitas, sehingga peneliti ingin melihat apakah terdapat pengaruh Human Capital Spillove Effects serta pengaruh dari faktor lainnya seperti tenaga kerja industri dengan tingkat pendidikan rendah dan tingkat pendidikan tinggi, modal industri serta upah terhadap produktivitas industri pengolahan pada Kawasan Kedungsepur. Penelitian ini menggunakan fungsi produksi Cobb-Douglas. Metode analisis yang digunakan berupa Ordinary Least Squares dengan menggunakan regresi data panel. Berdasarkan hasil penelitian tidak ditemukan adanya pengaruh dari tenaga kerja industri dengan tingkat pendidikan rendah. Kesimpulan penelitian ini ialah, ditemukan Human Capital Spillover Effect terhadap produktivitas industri pengolahan pada kawasan Kedungsepur. Tenaga kerja industri pendidikan rendah tidak berpengaruh secara nyata, angkatan kerja di luar industri dengan tingkat pendidikan tinggi, tenaga kerja industri dengan tingkat pendidikan tinggi, modal industri dan upah berpengaruh secara nyata dan positif terhadap produktivitas industri kawasan Kedungsepur. The purpose of this research to determine whether or not the influence of human capital spillover on the productivity of processing industries in the Area Kedungsepur. Industrialization since the ner order during the period 1967-1997 has changed the structure of economic in Indonesia. Kedungsepur became the location of the research because have a potential of manufacturing industry than 8 (eight) other strategic areas in the Province of Central Java. In 2007-2012 GDP growth of manufacturing industry tends to drop in. one of which affect the productivity are qualified human resource, so the researcher wanted to see wether there are affected of human capital spillover effects an the influence of another factors such as industrial workers with low level of education and high level of education levels, industrial capital and wages on the productivity of the manufacturing industry in the region of Kedungsepur.  Based on the result, the industry labor with lower education hasn’t influenced the productivity of manufacturing industry. The conclusion of this research, human capital spillover has effects the productivity of manufacturing industry at Kedungsepur. The industry labor with lower education takes no affect, in other hands the force labor with higher education, the industry labor higher education, capital, and wages have influenced the productivity of manufacturing industry at Kedungsepur with positive.

Differentiation of life expectancy by sex and education

2017 ◽  
Vol 62 (8) ◽  
pp. 41-52
Author(s):  
Agnieszka Nocko
Keyword(s):  
Higher Education ◽  
Secondary Education ◽  
Life Expectancy ◽  
Education Level ◽  
Level Of Education ◽  
Lower Education ◽  
Lower Secondary Education

The research on mortality and life expectancy by sex and education level was described in the article. To assess this phenomenon partial life expectancy rate of persons aged from 30 to 69 was used (e30—69). The research was conducted for the years 2002 and 2011. At the first stage life expectancy tables for people at the age of 30 and more, by sex and four groups of education, were estimated by Chiang’s method. Then on this basis the parameter e30—69 was computed. The obtained results confirmed that life expectancy is differentiated by sex and education. Longer life expectancy was noticed for people with higher education than for those with lower education. In the analysed period life expectancy of persons aged 30—69 was extended, except for women with at most lower secondary education. For women, the value of the assessed partial life expectancy parameter was less differentiated between the highest and the lowest level of education than for men.

scholarly journals The Effect of Human Capital, Labors, and Capital on Economic Growth in Barlingmascakeb

2018 ◽  
Vol 13 (2) ◽  
Author(s):  
Rizqia Mutiara Sani ◽  
Herman Sambodo ◽  
Bambang Bambang
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Human Capital ◽  
Linear Regression ◽  
Life Expectancy ◽  
Secondary Data ◽  
Positive Influence ◽  
Level Of Education ◽  
Central Java ◽  
Central Java Province

The economic growth of Banjarnegara, Purbalingga, Banyumas, Cilacap and Kebumen regencies or known as Barlingmascakeb region is on average lower than the economic growth of Central Java Province. This study aims to analyze the influence of human capital that proxy from level of education and life expectacy, labor, and capital on economic growth in the Barlingmascakeb region. The data used is secondary data, time series starting from 2008-2015. This study uses multiple linear regression. Based on the results of the study it is known that the variable human capital, which is seen from the level of education and life expectancy, labor, capital has a positive influence on economic growth in the Barlingmascakeb region.Keywords: Level of Education, Life Expectancy, Labor, Capital, Economic Growth.

Technical Analysis on Relationships of Human Capital and Economic Growth

2012 ◽  
Vol 253-255 ◽  
pp. 211-214
Author(s):  
Yu Xiao Yan
Keyword(s):  
Higher Education ◽  
Economic Growth ◽  
Human Capital ◽  
Technical Aspect ◽  
Shanxi Province ◽  
Human Capital Development ◽  
Level Of Education ◽  
Tremendous Progress ◽  
Per Capita ◽  
Capital Development

Shanxi province has already made tremendous progress in economics, and human capital development in Shanxi province should be kept as before. This paper attends to analysis that human capital and economic growth is correlated positively in Shanxi province by analysis the data in 30 years before via technical aspect. Improvement per capita level of education, the proportion of higher education, the proportion of secondary and primary education to the population is conducive to economic development. The results of this paper show increasing proportion of the higher education population plays a greater role on economic growth in Shanxi Province.

Problems of the Effectiveness of Human Capital Formed in the Education System of Russia

2021 ◽  
Vol 9 (1) ◽  
pp. 21-27
Author(s):  
Leonid Basovskiy ◽  
Elena Basovskaya
Keyword(s):  
Higher Education ◽  
Human Capital ◽  
Quality Of Education ◽  
Level Of Education ◽  
Education Management ◽  
Education Award ◽  
And Control ◽  
Command And Control System ◽  
Different Levels

The paper hypothesizes that the quality of education in the country is decreasing, the existing education management system is not effective, and contributes to a decrease in the quality of education. To assess the hypotheses, the profitability of human capital formed in education systems according to Rosstat data on the amount of remuneration of workers with different levels of education was considered. It was found that in 2009-2013, an increase in the level of education ensured an increase in the level of remuneration - receiving a bonus for the years of study, but during this period the premium over the years of study steadily decreased. In 2015-2019, the premium for obtaining all types of education, except for higher education, was completely lost. The higher education award has dropped significantly. These phenomena indicate a drop in the quality of education. They are due to the low level of funding for education and the archaic command and control system of education management, based on the administrative and control style of management, the instruments of which are orders, binding standards and control.

scholarly journals Interpreting the Sustainable Development of Human Capital and the Sheepskin Effects in Returns to Higher Education: Empirical Evidence from Pakistan

2020 ◽  
Vol 12 (6) ◽  
pp. 2393
Author(s):  
Zhimin Liu ◽  
Aftab Ahmed Memon ◽  
Woubshet Negussie ◽  
Haile Ketema
Keyword(s):  
Higher Education ◽  
Human Capital ◽  
Wage Discrimination ◽  
Work History ◽  
Public And Private ◽  
The Sustainable Development ◽  
Level Of Education ◽  
Significant Divergence ◽  
Economic Survey ◽  
Postgraduate Diploma

According to poststructuralists, workers with higher level of education and possession of potential experience are supposed to have higher wages. Yet, there are plausible questions that arise as to what levels of education or work history are needed for the enhancement of wage discrimination. Additionally, the outcomes arising from rehashing years of schooling are worth considering. We used a several methods, employing the administrative Household Integrated Economic Survey (HIES) data from Pakistan without ignoring environmental effects. Our estimated results support the conventional assumptions of linearity of log-wage. First, we found substantial returns for postgraduate diploma holders in both public and private sectors, even after controlling the individual’s heterogeneity. Second, we did notice a significant divergence in return to low-level education (LLE) and job history. Third, rehashing years of education may create suspiciousness regarding the lack of competence. Our results suggest that continuous investment in human capital toward postgraduate diploma may result in higher premiums.

scholarly journals Reverse educational spillovers at the firm level

2017 ◽  
Vol 5 (1) ◽  
pp. 80-106 ◽  
Author(s):  
Uschi Backes-Gellner ◽  
Christian Rupietta ◽  
Simone N. Tuor Sartore
Keyword(s):  
Fixed Effects ◽  
Spillover Effect ◽  
Spillover Effects ◽  
Ordinary Least Squares ◽  
Vocational Education And Training ◽  
Academic Education ◽  
Firm Level ◽  
Data Set ◽  
Content Type ◽  
Education Academic

Purpose The purpose of this paper is to examine spillover effects across differently educated workers. For the first time, the authors consider “reverse” spillover effects, i.e. spillover effects from secondary-educated workers with dual vocational education and training (VET) to tertiary-educated workers with academic education. The authors argue that, due to structural differences in training methodology and content, secondary-educated workers with VET degrees have knowledge that tertiary academically educated workers do not have. Design/methodology/approach The authors use data from a large employer-employee data set: the Swiss Earnings Structure Survey. The authors estimate ordinary least squares and fixed effects panel-data models to identify such “reverse” spillover effects. Moreover, the authors consider the endogenous workforce composition. Findings The authors find that tertiary-educated workers have higher productivity when working together with secondary-educated workers with VET degrees. The instrumental variable estimations support this finding. The functional form of the reverse spillover effect is inverted-U-shaped. This means that at first the reverse spillover effect from an additional secondary-educated worker is positive but diminishing. Research limitations/implications The results imply that firms need to combine different types of workers because their different kinds of knowledge produce spillover effects and thereby lead to overall higher productivity. Originality/value The traditional view of spillover effects assumes that tertiary-educated workers create spillover effects toward secondary-educated workers. However, the authors show that workers who differ in their type of education (academic vs vocational) may also create reverse spillover effects.

scholarly journals Socio-Economic Characteristics and Marriage Decisions of Chadian Households

2020 ◽  
pp. 218-223
Author(s):  
Jean-Claude Kouladoum ◽  
Ibrahim Ngouhouo
Keyword(s):  
Human Capital ◽  
Informal Sector ◽  
Ordinary Least Squares ◽  
Middle Manager ◽  
Men And Women ◽  
Level Of Education ◽  
The Third ◽  
Professional Category ◽  
Multiple Indicator ◽  
Marriage Decision

The main objective of this paper is to evaluate the effect of the socio-economic characteristics of men and women on the marriage decision in Chad. The methodology used refers to the Ordinary Least Squares (OLS). The data used come from the Demographic and Health Multiple Indicator Survey in Chad (EDS-MICS, 2014-2015) and the Third Survey on Consumption and the Informal Sector in Chad (ECOSIT3, 2011). Results show that, firstly, with regard to the marriage decision of men, their socioeconomic category and the age of women enhance their decision to marry; while the absence of education of man significantly delays his marriage decision. Secondly, about the marriage decision of women, their socioeconomic category (including agricultural, non-farm, and private sectors) and the age of men significantly improve the marriage decision. In addition, the lack of education of man and the socio-professional category of father of woman (senior-middle manager) delays the marriage decision of woman. Moreover, the level of education of woman (higher level) significantly delays the marriage decision. that the Chadian government develop educational and employment policies for all to improve the accumulation and enhancement of human capital.

scholarly journals Regression Models for Spatial Data: An Example from Gross Domestic Regional Bruto in Province Central Java

2017 ◽  
Vol 18 (2) ◽  
pp. 213
Author(s):  
Abdul Karim ◽  
Akhmad Faturohman ◽  
Suhartono Suhartono ◽  
Dedy Dwi Prastyo ◽  
Budi Manfaat
Keyword(s):  
Economic Growth ◽  
Spatial Data ◽  
Spatial Modeling ◽  
Spillover Effect ◽  
Spillover Effects ◽  
Error Model ◽  
Transportation Infrastructure ◽  
Spatial Error ◽  
Central Java ◽  
Transportation Infrastructures

The important role of a region's transportation infrastructure strongly affects the economic growth of the region and tends to affect the surrounding areas. The effect is called spillover effect. The aim of the research was to recognize the direct effect and spillover effect (indirect) of transportation infrastructure on the economic growth in Central Java. To identify the spillover effects, it is necessary to recognize the different characteristics of each region which have the implications on the various transportation infrastructures at each region in Central Java. Therefore, the spatial modeling was conducted. In this study, the spatial modeling employed was Spatial Durbin Error Model (SDEM). The SDEM is another form of Spatial Error Model (SEM). It does not allow for lag effects of endogenous variables, but it allows for spatial error and spatial lag on exogenous variables in which it simplifies the interpretations on direct effects and spillover effect. According to SDEM estimates, the transportation infrastructures at the districts/municipalities in Central Java had no significant effect on the outputs at each region where the infrastructures were located and their neighboring districts/cities

scholarly journals Wpływ wykształcenia kierownika na konkurencyjność gospodarstw rolnych

2017 ◽  
Vol 17(32) (1) ◽  
pp. 116-124
Author(s):  
Anna Nowak ◽  
Tomasz Kijek
Keyword(s):  
Higher Education ◽  
Human Capital ◽  
Competitive Advantage ◽  
Land Productivity ◽  
Accounting Data ◽  
Level Of Education ◽  
Commercial Farms

This paper is an attempt at filling the cognitive gap in the effect that human capital has on farms competitiveness. Education is the most measurable characteristic of human capital so the purpose of this paper is evaluating the effect of the manager’s level of education on the competiveness of the commercial farms. The surveys were carried out based on accounting data provided by commodity farms participating in the Polish FADN in 2010-2012. The outcomes indicate a competitive advantage of farms run by managers who completed higher education over entities run by farmers without higher education. Surveys also demonstrated a competitive advantage to the extent of land productivity, equipment of land with technical facilities and labour on farms run by managers with higher education in comparison to farms whose managers had no such education.

scholarly journals Workforce as an Important Factor in Iran’s Economic Development

2011 ◽  
Vol 1 (2) ◽  
pp. 60-66
Author(s):  
Safdari Mehdi
Keyword(s):  
Higher Education ◽  
Economic Growth ◽  
Human Capital ◽  
Economic Development ◽  
Explanatory Power ◽  
Ordinary Least Squares ◽  
Independent Variables ◽  
Percent Change ◽  
Dependent Variables ◽  
The Relationship

To reach higher economic growth, investment in human capital is also needed besides material investments. The purpose of this study is to determine the relationship between human capital and economic growth in Iran. The theoretical framework was designed based on this assumption that the total human capital employed in the economy is divided into two sections: Human capital with higher education and lack higher education. The data were collected from 1991 to 2006 and were analyzed using Ordinary Least Squares (OLS) model. The result of the analyses showed that there was significant relationship between human capital and economic growth. Together the independent variables explained 94% of the variance in the dependent variables. The remaining 16% was due to unidentified variables. In relation to that, we can conclude that explanatory power is high for the equation. It showed that one percent change in human capital rate lead to 58% in economic growth. Therefore human capital is regarded as an important factor in Iran's economic growth.

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