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Journal : JEJAK

Projection 0f Labor Needs and Productivity to Reduce Unemployment Agusalim, Lestari
JEJAK: Jurnal Ekonomi dan Kebijakan Vol 9, No 2 (2016): September 2016
Publisher : Semarang State University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jejak.v9i2.7631

Abstract

The purpose of this study is to estimate the amount of labor needs and productivity in Banten Province from 2016 until 2020. By estimating the needs and productivity of the labor, the government can use this information to create the appropriate policies in order to reduce the open unemployment rate (OUR) in Banten Province. According to BPS data in 2014, OUR of Banten Province was the highest among other provinces in Java and second highest in Indonesia after Maluku. This study used the quantitative method, which are the exponential and geometric methods to project the labor needs. Other than that, this study used the descriptive method to interpret the quantitative data. The result showed that (1) from 2016 until 2020 there will be an increasing condition of employment, (2) from 2010 until 2014, the highest labor productivity were from electricity, gas and water sector. However from 2016 – 2020, the highest labor productivity will be from financing, insurance, real estate, land, and business services. (3) The number of OUR is expected to decrease annually. Meanwhile OUR in 2016 which is 7.39 percent will decrease to 3.94 percent in 2020.
Projection 0f Labor Needs and Productivity to Reduce Unemployment Agusalim, Lestari
JEJAK: Jurnal Ekonomi dan Kebijakan Vol 9, No 2 (2016): September 2016
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jejak.v9i2.7631

Abstract

The purpose of this study is to estimate the amount of labor needs and productivity in Banten Province from 2016 until 2020. By estimating the needs and productivity of the labor, the government can use this information to create the appropriate policies in order to reduce the open unemployment rate (OUR) in Banten Province. According to BPS data in 2014, OUR of Banten Province was the highest among other provinces in Java and second highest in Indonesia after Maluku. This study used the quantitative method, which are the exponential and geometric methods to project the labor needs. Other than that, this study used the descriptive method to interpret the quantitative data. The result showed that (1) from 2016 until 2020 there will be an increasing condition of employment, (2) from 2010 until 2014, the highest labor productivity were from electricity, gas and water sector. However from 2016 – 2020, the highest labor productivity will be from financing, insurance, real estate, land, and business services. (3) The number of OUR is expected to decrease annually. Meanwhile OUR in 2016 which is 7.39 percent will decrease to 3.94 percent in 2020.
The Economy of Indonesia: Driven by Physical or Human Capital? Agusalim, Lestari; Anggraeni, Lukytawati; Pasaribu, Syamsul H.
JEJAK: Jurnal Ekonomi dan Kebijakan Vol 15, No 1 (2022): March 2022
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jejak.v15i1.34418

Abstract

This study aims to analyze whether economic growth in Indonesia is driven by physical or human capital using panel data analysis consisting of all provinces over the last nine years. The estimation results show that the Indonesian economy is more likely to be driven by physical than human capital. The formation of human capital that has a significant positive effect on economic growth is health. However, the education variable represented by the mean years schooling has no significant effect on economic growth when including the control variable in the research model. To improve the quality of education, the state requires the government to provide substantial educational spending. However, the budget has not been used optimally so that the expected achievements of graduates are not achieved. In addition, education spending has not met the criteria for quality spending. In contrast to education spending, an increase in health spending will increase economic growth by improving the quality of health and life expectancy. A healthier society will have a high level of productivity that impacts the regional and national economy.