scholarly journals Human capital of school-age population in West Sumatera: measurement and determinant

2019 ◽  
Vol 7 (1) ◽  
pp. 1-14
Author(s):  
Firlan Firlan ◽  
Werry Darta Taifur ◽  
Indrawari Indrawari
Keyword(s):  
Human Capital ◽  
Parent Education ◽  
Rural Areas ◽  
Urban Areas ◽  
Capital Investment ◽  
Positive Impact ◽  
National Bureau ◽  
School Age ◽  
Data Types ◽  
Human Capital Measurement

Information on human capital, especially for school- age population is still limited. Most of Indicators of human capital only consider the dimensions of education, while human capital is formed by various dimensions not only education. Recent human capital measurement is displayed in macro level so that difficult to analys in micro level. Based on recent condition of human capital information, this study aims to measure the human capital of the school-age population of 7-18 years old using the fuzzy set approach by considering several dimensions of human capital investment and analysis the determinant. The data source is from West Sumatera Socio-Economic Survey that held by National Bureau of Statistic in March 2017. Measurement human capital of 9,950 samples of school age population shows that urban areas have higher human capital than the rural areas. Internal factors, household and spouse characteristics such as income, parent education and occupation have impact in their children human capital. External factors such as subsidies and rural-urban development inequality also have impact and tend to be larger than internal factor. The strategy of increasing human capital under conditions of limited resources can be achieved by increasing the index of indicators which have greatest weight and also reducing development inequality between urban and rural areas. The other policy is to realize growth economic that have positive impact to entire society. In terms of methodology, this approach can be adapted to regional conditions, the development of theory and related research. Adjustments can be made at the stage of selecting investment indicators, data types and weight of indicator

Intellectual Capital Investment, Stakeholders' Value, Firm Market Value and Financial Performance: The Case of Tunisia Stock Exchange

2013 ◽  
Vol 12 (02) ◽  
pp. 1350010 ◽  
Author(s):  
Hedia Fourati ◽  
Habib Affes
Keyword(s):  
Human Capital ◽  
Financial Performance ◽  
Intellectual Capital ◽  
Capital Investment ◽  
Positive Impact ◽  
Stock Exchange ◽  
Value Added ◽  
Market Value ◽  
Market Valuation ◽  
Using Data

The purpose of this paper is to investigate the role of intellectual capital investment in improving the firm's market value, stakeholders' value and financial performance. Using data drawn from 21 listed companies in Tunisia Stock Exchange, we conducted two studies. On one hand, from using Charreaux (Charreaux (2006). La valeur partenariale: Vers une mesure opérationnelle. Cahier de FARGO no. 1061103, November) measure of stakeholders' value, we demonstrate that financials come to present the weakest stakeholders' value and clients monopolises in term of value acquisition due to a weak ability of negotiation of firms. On the other hand, we construct a regression model of Pulic's value added intellectual capital investment (VAIC) as the measure of the value added from intellectual capital, in market valuation and financial performance. Our results stressed the fact that there is a positive impact of intellectual capital by human capital efficiency and capital employed efficiency on improving firm's market value. Nevertheless, financial performance measured by ROA is still justified by the traditional measure relying on capital employed efficiency. Indeed for Tunisian quoted firms, human capital investment is a pilar for ameliorating firm market valuation of financial performance.

scholarly journals How does household characteristics influence their waste management?

2018 ◽  
Vol 74 ◽  
pp. 06005 ◽  
Author(s):  
Dwini Handayani ◽  
Beta Yulianita Gitaharie ◽  
Restananda Nabilla Yussac ◽  
Rian Sabrina Rahmani
Keyword(s):  
Waste Management ◽  
Rural Areas ◽  
Urban Areas ◽  
Positive Impact ◽  
Demographic Variables ◽  
Probit Regression ◽  
Age And Gender ◽  
Household Characteristics ◽  
Management Behaviour ◽  
And Gender

The amount of waste generated is ever-increasing due to population growth, however adequate waste management has never been a focus in everyday life. The action of the household as the beginning stage of waste management is also crucial. How households manage their waste is also influenced by their socio-economic characteristics. This study aims to investigate household characteristics that influence their waste management. This study employed the Indonesian Family Life Survey 2014 data using probit regression method. The result shows that location significantly affect waste management behaviour which households in urban areas hold higher probability to manage their waste compared to those in rural areas. The level of education and knowledge also have positive impact on household’s waste management. The level of income also positively affect waste management behaviour of households. Demographic variables such as age and gender are significant and indicate that women and older people have better waste management compared to men and younger people. These results support the hypothesis that household’s waste management behaviour is significantly influenced by their characteristics.

scholarly journals The Effect of Income, Health, Education, and Social Capital on Happiness in Indonesia

2016 ◽  
Vol 12 (7) ◽  
pp. 75 ◽  
Author(s):  
Theresia Puji Rahayu ◽  
Sonny Harry B. Harmadi
Keyword(s):  
Social Capital ◽  
Health Education ◽  
Urban Areas ◽  
Positive Impact ◽  
Household Head ◽  
Relative Income ◽  
Marginal Effect ◽  
National Bureau ◽  
Low Education ◽  
Family Harmony

<p class="a"><span lang="EN-US">The purpose of the study is to analyze the effect of income, health, education, and social capital on happiness in Indonesia. The data was taken from National Survey of Social Economic conducted by National Bureau of Statistics of Indonesia in 2012. Ordered probit model was used as estimation technique due to ordinal dependent variable and normal distribution of error assumption. The findings show happiness is affected by absolute income, physical perceived health status, mental health, medium and high level of education, trust in leader, participation on society’s activities, tolerance, and help for and from others. However relative income, gender, household head, junior high school, and trust to neighbors do not have significant effect on happiness. Easterlin paradox does not exist in Indonesia because income has positive impact on happiness. Satisfaction on works, financial, family harmony, and leisure time also have significant effect on happiness. Satisfaction on family harmony is the most important factor than others. From demographic variables, it was known that happiness is not different across gender, household head, and low education people. People who are married, live in urban areas, live outside Java and Bali islands, and have more children are found happier. Happiness-age relationship indicates U-shaped curve. Happiness tends to decrease over time until people reach 51 years old. For all three level of happiness, some predictors do not have significant marginal effect on happiness namely relative income, gender, low education level, and trust to neighbors. Meanwhile the variables of household head and number of infant are not robust. </span></p>

scholarly journals DIVERSIFICATION OF HUMAN CAPITAL RESOURCES IN RURAL AND URBAN AREAS IN POLAND

2020 ◽  
Vol XXII (1) ◽  
pp. 300-311
Author(s):  
Paweł Siemiński ◽  
Jakub Hadyński ◽  
Walenty Poczta
Keyword(s):  
Human Capital ◽  
Rural Areas ◽  
Urban Areas ◽  
Data Bank ◽  
Local Data ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Synthetic Index ◽  
Spatial Diversification ◽  
High Level

The aim of this paper is to estimate, as well as analyse and assess spatial diversification in human capital resources in rural and urban areas of Poland. Studies have static nature and relate to the state of the situation in 2018 year. A synthetic index of human capital resources (IHCR) was applied, based on which a hierarchy was developed for rural and urban areas, depending on the administrative division into provinces determining the degree of their diversification in terms of their human capital resources. Human capital resources were analysed in four categories, i.e. in terms of employment, education, entrepreneurship and unemployment, using data from the Local Data Bank CSO database. Research results indicate considerable regional (spatial) diversification of rural and urban areas. We may distinguish two homogeneous classes, including urban areas with a high level of human capital development, as well as rural areas with their low level. Moreover, there is a heterogeneous group of the so-called medium level of human capital, composed of both urban and rural areas. Particularly, observed polarization in human capital resources may in the future reduce the absorption of development impulses within both national and EU development policies.

scholarly journals Human Capital and Urbanization in the People’s Republic of China

2019 ◽  
pp. 475-513
Author(s):  
Chunbing Xing
Keyword(s):  
Human Capital ◽  
Rural Areas ◽  
Urban Areas ◽  
Returns To Education ◽  
People’S Republic Of China ◽  
Urban Migration ◽  
People's Republic Of China ◽  
Large Cities ◽  
Republic Of China ◽  
Capital Development

This chapter explores the relationship between human capital development and urbanization in the People’s Republic of China, highlighting the Hukou system and decentralized fiscal system. Educated workers disproportionately reside in urban areas and in large cities, and the returns to education are higher in urban areas relative to those in rural areas, and in large, educated cities relative to small, less educated cities. In addition, the external returns to education in urban areas are at least comparable to the magnitude of private returns. Rural areas are the major reservoir for urban population growth, and the more educated have a higher chance of moving to cities and obtaining urban Hukou. As for health, rural–urban migration is selective in that healthy rural residents choose to migrate. However, occupational choices and living conditions are detrimental to migrants’ health. While migration has a positive effect on migrant children, its effect on ‘left-behind’ children is unclear.

scholarly journals Socioeconomic and Geographical Inequalities in Births by Caesarean Section Persist in the Context of Free Maternal Health Care: Evidence from a Cross-Sectional Survey of Southwestern and North Central, Nigeria

2019 ◽  
Author(s):  
Anthony Idowu Ajayi
Keyword(s):  
Health Care ◽  
Secondary Education ◽  
Maternal Health ◽  
Caesarean Section ◽  
Rural Areas ◽  
Urban Areas ◽  
Positive Impact ◽  
Health Care Service ◽  
Maternal Health Care ◽  
Monthly Income

Background User fee exemption for maternal and child health care service policy was introduced with a focus on providing free caesarean sections (CS) in Nigeria from 2011 to 2015. This policy had a positive impact on access to facility-based delivery, but its effect on socioeconomic and geographical inequality remains unclear. This study&rsquo;s main objective is to examine access to birth by CS in the context of free maternal health care. Specifically, the study examines socio-demographic and geographical inequality in access to birth by CS among women who gave birth between 2011 and 2015 under the free maternal health care policy using a population-based survey data obtained from two of the six main regions of the country. Methods Data were obtained from 1227 women who gave birth during the period the policy was in operation selected using cluster random sampling between May and August 2016. Adjusted and unadjusted binary logistic regression models were used to examine whether there is socio-demographic and geographical inequality in access to birth by caesarean section. Results The overall caesarean section rate of 6.1% was found but varies by income (14.1% in monthly income of over $150 versus 4.9% in income of $150 and below), education (11.8% in women with higher education versus 3.9% among women with secondary education and less) and place of residence (7.8% in urban areas versus 3.6% in rural areas). Women who earn a monthly income of $150 or less were 48% less likely to have a birth by CS compared to those who earn more. Compared to women who were educated to tertiary level, women who had secondary education or less were 54% less likely to have birth by caesarean section. Conclusion This study shows that inequality in access to CS persists despite the implementation of free maternal health care services. Given the poor access to facilities with capabilities to offer CS in most rural areas, free maternal healthcare policy is not enough to make birth by CS universally accessible to all pregnant women in Nigeria.

scholarly journals Regional gap in human capital: determinants of education and urbanization

2021 ◽  
Vol 301 ◽  
pp. 03004
Author(s):  
Aida Guliyeva ◽  
Liliya Averina ◽  
Oleg Grebennikov ◽  
Alexander Shpakov
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Rural Areas ◽  
Urban Areas ◽  
Regional Distribution ◽  
Well Being ◽  
Regional Gap ◽  
Good Proxy ◽  
Effective Development ◽  
Capital Development

This paper studies the regional gap in human capital. Specifically, it focuses on the important determinants of this capital represented by such key factors as education and urbanization. We stress the importance of human capital for the economic growth and show how it can be important for the effective development of both urban and rural areas. This study examines the regional distribution and dynamics of human capital. Human capital is credited with a crucial role in the creation of economic growth. Additionally, we investigate how the exposure to the urban or rural environment affects the educational success of people worldwide. In addition, our paper studies the effects of migration on urbanization and education. Our results show that institutional factors can be a good proxy for explaining the relationship between human capital development and urbanization. Furthermore, it can be concluded that return to education is higher in urban areas compared to rural areas, and higher in highly educated cities compared to smaller towns. All of these creates some important implications for urbanization and education that can be used by the policy-makers and urban and rural planners for narrowing the regional gap in human capital and increasing the overall well-being and economic growth.

scholarly journals Productive vs. residential economy: Factors behind the recovery of rural areas in socioeconomic decline

2020 ◽  
Vol 29 (2) ◽  
pp. 1-30
Author(s):  
David Peón Pose ◽  
Xose Manuel Martínez Filgueira ◽  
Edelmiro López-Iglesias
Keyword(s):  
Quality Of Life ◽  
Human Capital ◽  
Rural Areas ◽  
Positive Impact ◽  
Multivariate Statistical ◽  
Demographic Ageing ◽  
Self Employment ◽  
Socio Economic Variables ◽  
Relationship Of

The analysis and explanation of the diverse rural dynamics might help to design better targeted rural development policies. We focus on Galicia (Spain) as a case study of a region in demographic decline, in order to trace what factors are associated with the recovery of specific rural areas. Since demographic ageing and depopulation are often an inheritance from strong migration processes in the past, and the resulting imbalances, we use a statistical method by Martínez Filgueira, Peón & López Iglesias (2017) to remove thedemographic drag due to past migration. We then perform a multivariate statistical analysis that explores the relationship of the municipalities’ population growth beyond the drag with a total of 50 indicators in 10 domains, including territorial, such as infrastructures and remoteness, economic diversification, the profitability of business activities, human capital, and quality of life indicators, such as access to public services and trends of rurbanisation. We obtain mixed results for the dichotomy ‘entrepreneurshipversus quality of life’. The main findings are the evidence of agglomeration economies –the distance to the main cities and the size of the county capital– and the positive impact of socio-economic variables such as disposable income and stock of human capital. In addition, we obtain a correspondence between rural areas in recovery and a higher density of companies and self-employment in the services sector.

Human Capital and Urbanization in India

2019 ◽  
pp. 514-546
Author(s):  
Sandip Sarkar
Keyword(s):  
Human Capital ◽  
Rural Areas ◽  
Urban Areas ◽  
National Income ◽  
Urban Migration ◽  
Rural And Urban Areas ◽  
Average Return ◽  
Rural And Urban ◽  
Rural Urban Migration ◽  
Active Policy

This chapter analyses the human capital base of population, workers, and migrants and compares the human capital base of the population and workers in rural and urban areas. The nature and extent of the private sector’s role in human capital formation are also looked at. This chapter finds that earnings of workers increase substantially at each successive level of education and returns are far higher at the graduate-and-above level. The contribution of rural–urban migration in increasing the urban population has been around one-fifth. In that sense, urban growth has been exclusionary. It observes that urban areas are considerably better endowed with the quality of human capital and the average returns to education are higher in urban areas compared with rural areas, and rural–urban gaps in average return to education are increasing over time. It calls for active policy to promote rural–urban migration that will boost urban as well as national income. In this regard it argues for an active policy of promoting the labour-intensive manufacturing sector which is likely to promote more migration and reduce the selectivity bias in rural–urban migration.

DAMPAK PERKEMBANGAN PARIWISATA MINAT KHUSUS SNORKELING TERHADAP LINGKUNGAN: KASUS DESTINASI WISATA KARIMUNJAWA

2016 ◽  
Vol 10 (03) ◽  
pp. 13-28
Author(s):  
Sabda Elisa Priyanto
Keyword(s):  
Coral Reefs ◽  
Rural Areas ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Negative Impact ◽  
Positive Impact ◽  
Natural Habitat ◽  
Tourist Attraction ◽  
Environment Impact ◽  
The Impact

The study will analyze the impact of tourism by the type of special interest tourism to the environment. Impact on the coast and islands, the impact on vegetation, the impact wildlife, and the impact on urban areas and rural areas. Positive impact on the coast and the island is the effort for preservation and conservation of coral reefs, reef fish, giant clams and turtles, and encouraged to make environmentallyfriendly tourism activities. The negative impact is a damage to coral reefs from snorkeling activities, and the loss of traditional land allotment to the beach. The positive impact on vegetation is their attempt to biodiversity and conservation of vegetation typical of Publications, and reforestation activities is to replant mangrove. Negative impacts on vegetation is illegal logging and the clearing of trees to increase tourist attraction as supporters of the main activities. commercialization of the plant for souvenirs. Positive impact on wildlife is their conservation, preservation, and biodiversity, the breeding of animals and relocating the animals to their natural habitat. The negative impact is going hunting animals as souvenirs and tourist consumption, harassment of wildlife photography, animal exploitation for pertujukan, changes in animal instincts, and the migration of animals. Positive impact on urban areas and rural areas is happening arrangement karimunjawa towns and villages, and their empowerment. The negative impact of pressure on the land for the opening of a new tourist attraction, there are exchange in the function of residential land into commercial land, and the occurrence of traffic congestion, noise pollution, air pollution, and pollution aesthetics.  Keywords: Environmental Impact, Tourism, Snorkeling

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