This research examines the influence of level of education and health rate as the measurement of human capital to productivity in East Java Provice, during 2009 to 2015. Variable of level of education is measured by literacy rate, while the variable of health rate is measured by infant mortality rate. The panel data analysis is used as research method, which is Fixed Effect Model is the best model than the other models. The research results show that the variable of level of education is not significant to productivity, whreas, the variable healt rate has negative and significant influence to productivity. The reason is because educated worker is not really nedded in East Java Province. Some workers with skills and experiences are preferred. Therefore, in this research literacy rate cannot be used as good proxy to measured variable of level of education. Moreover, a decrease in infant mortality rate is indicating that the health rate is good. Hence, productivity
AbstrakPertumbuhan ekonomi merupakan motor penggerak pertumbuhan ekonomi. Perkembangan ekonomi berkaitan erat dan bergantung pada pertumbuhan ekonomi. Pembangunan ekonomi memiliki potensi untuk mendorong pertumbuhan ekonomi, tidak peduli seberapa ekstrem; Pertumbuhan ekonomi berpotensi untuk mempercepat proses pertumbuhan ekonomi. Suatu negara dapat diprediksi akan mengalami stagnasi ekonomi ketika GNP mencapai puncaknya. Padahal, faktor yang menyebabkan turunnya pertumbuhan ekonomi disebabkan oleh runtuhnya perekonomian yang akan datang. Pertumbuhan ekonomi dapat dipengaruhi oleh beberapa faktor yang berbeda. Satu-satunya faktor terpenting yang kami gunakan yakni indeks konstruksi manusia, yang dibenarkan karena berpotensi digunakan untuk mengukur keadaan ekonomi suatu daerah. Maksud studi yaitu untuk mengkaji pengaruh antara indeks pembangunan manusia terhadap pertumbuhan ekonomi di provinsi Banten pada periode 2019 – 2021 dengan variabel bebas yang digunakan yaitu taraf pendidikan, taraf kesehatan dan standar hidup. Serta mengetahui faktor atau variabel mana yang lebih menonjol dalam mempengaruhi pertumbuhan ekonomi di Provinsi Banten. Studi ini memakai alat analisis Eviews – 10 dengan metode analisis kuantitatif dan data panel. Metode pengujian yang dipakai dalam penelitian adalah Fixed Affect Model. Hasil studi menggambarkan bahwa taraf pendidikan, kesehatan dan standar hidup berpengaruh positif terhadap pertumbuhan ekonomi di Provinsi Banten periode 2019 – 2021 dan variabel yang berpengaruh besar terhadap pertumbuhan ekonomi di Provinsi Banten pada rentang 2019 – 2021 adalah taraf kesehatan.Kata Kunci: Modal Manusia; Pertumbuhan Ekonomi; Pembangunan Ekonomi. AbstractEconomic growth as a factor in economic development success. Economic development and economic growth are intimately connected. Economic growth would spur economic development, and vice versa, the process of economic development might be aided by economic growth. It is possible to anticipate that a nation would face economic stagnation when its GNP hits its peak. In this approach, the appearance of economic growth turns into a sign of how well economic development has gone. Numerous things can have an impact on economic growth. The human development index is one of the variables we take into consideration since it may be used to estimate a region's economic health. The purpose of this study is to ascertain how the human development index affects. This study uses the level of education, health, and standard of living as independent variables to examine the impact of the human development index on economic growth in the province of Banten from 2019 to 2021. Additionally, it is important to understand which variables or factors have a stronger influence on Banten Province's economic growth. This study employs panel data, quantitative analytic techniques, and the analysis program Eviews - 10. The Fixed Affect Model is the test methodology employed in this study. The findings indicated that economic growth in Banten Province during the 2019–2021 period was positively influenced by factors such as living standards, health, and education levels, with health being the one that had the most influence. Keywords: Human Capital; economic growth; Economic Development.
The problem of the poverty of relativity today is still a crucial topic considering the economic conditions in Indonesia are experiencing a slump due to Covid-19. The problem of poverty relativity is one of the main points that must be faced by the government in providing social protection assistance policies as a form of economic recovery during the Covid-19. The poverty of relativity in Banten Province is relatively high even though it has been ranked 10 nationally. Therefore, this study aims to analyze the relationship between unemployment, income inequality, and human capital as well as find out which level is very dominant in the long run on each of the variables that directly affect the relativity of poverty in Banten Province. This study examines how changes in economic indicators occur due to the Covid-19 pandemic in 8 Regencies/Cities of Banten Province. The analysis of this study uses panel data regression using the method Fixed Effect Model (FEM) in 8 regencies/cities in Banten Province in the data range from 2016 to 2020. The results of this study indicate that unemployment due to layoffs has a positive and significant influence on the relativity of poverty in 8 districts/cities of Banten Province. Furthermore, this study shows that income inequality has no significant and positive effect on the relativity of poverty. Meanwhile, human capital appears to be one of the dominant factors that can have a negative and significant impact on economic recovery and reduce the relative impact of poverty during the Covid-19 pandemic.
AbstrakPenelitian ini akan melihat bagaimana indeks pembangunan manusia dan pencapaian pendidikan mempengaruhi tingkat pengangguran terbuka (Studi kasus di provinsi Sumatera Utara) dalam periode 2010 sampai dengan 2021. Metode analisis regresi linier berganda diterapkan dalam metodologi penelitian kuantitatif. Data sekunder dari Badan Pusat Statistik Provinsi Sumatera Utara dijadikan sebagai sumber data. Metode ini mengungkapkan, ditemukan hubungan yang negatif indeks pembangunan manusia dan tingkat pendidikan terhadap tingkat pengangguran yang berarti bahwa ketika kedua variabel yang dibahas naik, justru tingkat pengangguran terbuka akan berkurang. Hal ini menunjukkan perlunya peningkatan indeks pembangunan manusia dan tingkat pendidikan Sumatera Utara dalam rangka menurunkan tingkat pengangguran terbuka secara regional.Kata Kunci: Indeks Pembangunan Manusia; Pendidikan; Tingkat Pengangguran Terbuka; dan Regresi Linier Berganda. AbstractThis study will look at how the human development index and educational attainment affect the open unemployment rate (Case study in North Sumatra province) in the period 2010 to 2021. The method of multiple linear regression analysis is applied in quantitative research methodologies. Secondary data from the Central Statistics Agency of North Sumatra Province is used as a data source. This method reveals, it was found that the negative relationship of the human development index and the level of education to the unemployment rate means that when the two variables discussed go up, precisely the open unemployment rate will decrease. This shows the need to increase the human development index and education level of North Sumatra in order to reduce the open unemployment rate regionally.Keywords: Human Development Index; Education; Open Unemployment Rate; and Multiple Linear Regression.
The purpose of this study is to determine poverty is affected by the open unemployment rate during the COVID-19 pandemic. The first COVID-19 case that entered Indonesia since March 2, 2020 had an impact on various aspects, including increasing the unemployment rate. Layoffs and the difficulty of finding work during the pandemic have led to an increase in open unemployment. Between 2019 and 2021, the number of poor people in the Regency or City of Banten Province is taken as the population. Panel data regression was used in this study for testing and quantitative methods. Based on the results of our research, the poverty rate in cities and districts in Banten Province is not significantly affected by the open unemployment rate.
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