scholarly journals ATTAINING THE DEMOGRAPHIC BONUS IN INDONESIA

2019 ◽  
Vol 1 (1) ◽  
pp. 6
Author(s):  
Teguh Warsito

Indonesia is experiencing the demographic bonus when the proportion of a working-age population is higher than a non-working-age population. This bonus will achieve its peak in 2030, then the proportion will decrease gradually. After that, Indonesia will face the demographic burden. Demographic bonus is very important to be utilized since it gives an opportunity to boost economic growth. However, after this bonus happens, the problems will  arise in the demographic burden period. This paper will analyze demographic phenomena and offer several policies that can be taken by the government to attain the bonus and to lessen the bad impact of the burden using literature review analysis. According to the results of this paper, the government should focus on decreasing an unemployment rate, providing social infrastructure, and educating people.

Media Trend ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. 40-48
Author(s):  
Kalzum R Jumiyanti ◽  
Moh. Jamal Moodoeto ◽  
Deby Rita Karundeng

Economic growth is often cited as a significantly contributive factor reduction of the poverty rate. This study aims to investigate the economic growth and poverty among all areas within Sulawesi Island and to compare these two aspects among the island’s provinces. This study employs both comparative quantitative analysis to explore economic growth formulatively and qualitative manner for in depth analysis. The result reveals an escalation in both gross regional domestic product (henceforth regional GDP) and total population each year for the last ten years. However this situation is unable to boost the macro-economic growth; a reason for this condition is the population growth in the recent ten years possibly dominated by High birth rates. Yet, this condition does not lead to a drop in the demand for workforces, which implies that the number of the working-age population (which can help improve the regional per capita income) remains constant despite the population growth. Another possible factor of regional GDP escalation is the fact that the government policy, in its foreign cooperation implementation, does not contribute to the local workforces. Nevertheless, the rise in regional GDP is insignificant as it does not affect the local economic conditions. Hence, it proves that the fluctuation of economic growth does not affect the poverty rate.


Author(s):  
Ľubica Hurbánková ◽  

The paper deals with the analysis of unemployment in European Union countries on the basis of data of the unemployment rate and the number of unemployed. The data are obtained from the Eurostat website. The aim of the paper is to find out how the number of unemployed in individual EU countries changed in 2018 compared to 2009, in which country the number of unemployed increased the most, in which the least. Appropriate tools of economic statistics are used for the analysis. Based on a four-factor model of the analysis of the number of unemployed, we find out how this indicator has changed depending on the change in the unemployment rate, the economic activity rate, the share of the working age population in the total population, and the total population. The application of statistical method is implemented through the programme Microsoft Office Excel.


Jurnal Ecogen ◽  
2018 ◽  
Vol 1 (4) ◽  
pp. 162
Author(s):  
Syurifto Prawira

This study aims to analyze the effect of economic growth, provincial minimum wage, and education level on open unemployment rate in Indonesia in 2011-2015, either simultaneously or partially. Using panel data with Fixed Efect Model (FEM) approach and using secondary data of 33 provinces in Indonesia. The model estimation results show that the variable of economic growth, provincial minimum wage, and education level simultaneously have significant effect on open unemployment rate in Indonesia. While the partial variable of economic growth has a negative effect but no significant effect on the unemployment rate. The provincial minimum wage variable is partially positive and significant to the unemployment rate. The variable of educational level also have positive and significant effect to unemployment rate. The government is expected to pay serious attention to economic growth, minimum wage system, improving the quality of education, the issue of availability of employment opportunities. Keyword: Economic Growth, Wage, Education, and Unemployment


2021 ◽  
Vol 3 (2) ◽  
pp. 109
Author(s):  
Hisyam Ihsan ◽  
Wahidah Sanusi ◽  
Risna Ulfadwiyanti

Abstrak. Penelitian ini membahas tentang pembentukan model Generalized Poisson Regression (GPR) dan penerapannya pada angka pengangguran bagi penduduk usia kerja di Provinsi Sulawesi Selatan. Jenis penelitian ini adalah penelitian terapan yang menggunakan model regresi nonlinear, yaitu model regresi Poisson dan model GPR. Variabel respon yang digunakan adalah jumlah angka pengangguran pada usia kerja yang termasuk angkatan kerja di Provinsi Sulawesi Selatan pada tahun 2017. Adapun variabel-variabel prediktor yang digunakan yaitu persentase angkatan kerja terhadap penduduk usia kerja, Indeks Pembangunan Manusia, persentase bekerja terhadap angkatan kerja, kepadatan penduduk, dan pertumbuhan ekonomi. Penelitian menggunakan metode Maximum Likelihood Estimation (MLE) untuk mengestimasikan parameter dan menghasilkan sebuah model GPR. Variabel prediktor yang memberikan pengaruh secara signifikan adalah Indeks Pembangunan Manusia dan  persentase bekerja terhadap angkatan kerja.Kata kunci: Angka Pengangguran, Regresi Poisson, Overdispersi, Generalized Poisson Regression, Maximum Likelihood Estimation  Abstract. This study discusses the formation of the Generalized Poisson Regression (GPR) model and its application to the unemployment rate for the working age population in South Sulawesi Province. This type of research is applied research that uses the Poisson regression model, namely Poisson regression and GPR models. The response variabel used is the total unemployment rate at working age which includes the workforce in South Sulawesi Province in 2017. The predictor variables used are the percentage of the workforce on the working age population, the Human Development Index, the percentage of work on the labor force, population density, and economic growth. This research uses the Maximum Likelihood Estimation (MLE) method to estimate parameters and produce a GPR model. The predictor variables which have a significant influence are the Human Development Index and the percentage of work on the labor force.Keywords: Unemployment Rate, Poisson Regression, Overdispersion, Generalized Poisson Regression, Maximum Likelihood Estimation


Author(s):  
Ravi Agrawal

In the summer of 2015, the government of Uttar Pradesh began putting out advertisements looking for “peons”—the local term for low-ranking office helpers. UP, as the state is known, is home to more than 200 million Indians, packed into an area about the size of Texas (which has one-seventh as many inhabitants). Fittingly, UP needed a small army of new peons: in all, 368 jobs were posted. A very strange thing happened next. Applications poured in. After a painstaking survey that took weeks, 2.3 million résumés were counted. There were 6,250 candidates for each available position. Some of the applicants had doctorates. While peon jobs are stable—even respectable—they are by no means glamorous. Peons are usually the first people one sees at Indian government offices, dressed in shabby, faded khaki uniforms; their work involves tracking down dusty files, fetching tea, and ushering in guests. Salaries range from just $150 to $250 a month. The question is why these low-skill, low-paying jobs were in such high demand. There are several possible explanations. First, $250 a month may sound like a pittance, but it is not insignificant: it amounts to nearly double the median national salary. Second, peons are influential gatekeepers in Indian bureaucracy. If you need to see a local officer, a small bribe can go a long way. But workplace corruption is hardly something young, idealistic Indians aspire to (let alone the ones with doctorates). Something deeper was going on. A third possibility is that India simply isn’t creating enough jobs. A 2016 report by the United Nations Development Programme (UNDP) revealed that India’s working-age population expanded by 300 million between 1991 and 2013. But during those same twenty-two years, the UNDP says, the economy created just 140 million new jobs. Put another way, 160 million working-age Indians were without formal employment. Job creation is the number one headache for India’s policymakers. By some estimates, India needs to create a million new jobs every month simply to keep pace with the gush of new entrants to the workforce. There is little evidence that India has a plan to meet this demand.


2019 ◽  
Vol 15 (7) ◽  
pp. 70
Author(s):  
D.K.Y. Abeywardhana

The share of working age population has declined all over the world. It is forecasted that this will continue for the coming years in all countries in South Asia. Low growth in working age population in South Asia will be effecting negatively for the economic growth. This paper studies whether the South Asia 2050 employment targets would be sufficient to compensate for the downward impact of demographic burden and whether the impact of demography on economic growth differs between South Asian countries. The results show that degreasing working age population is the main challenge the South Asian region faces. Further it shows that growth in GDP mainly depend on the demographic change. Population who contributed the economic development become maturing and dependents of their children. The consumption of the ageing population is very high as of higher spending on healthcare facilities. This effect badly on the economic growth in the region and cause lots of challenges to the nations.


2021 ◽  
Vol 2 (2) ◽  
pp. 172
Author(s):  
Nikmatul Choyroh Pamungkas

ABSTRAK             Pandemi covid-19 berdampak pada perekonomian di Indonesia dari karyawan dirumahkan, PHK dan pengurangan pendapatan bagi mereka yang bekerja. Permasalahn tersebut membuat tingkat pengangguran semakin tinggi daripada tahun sebelumnya, maka pemerintah secara cepat membuat kebijakan untuk mengurangi tingkat pengangguran di Indonesia. Kebijakan tersebut adalah program kartu prakerja yang difokuskan kepada mereka yang telah kehilangan pekerjaan atau pengurangan penghasilan selama masa pandemi covid-19 ini. Tujuan penelitian ini yaitu untuk mengetahui bagaimana kebijakan program kartu prakerja memperdayakan masyarakat untuk mengurangi pengangguran. Penelitian ini menggunakan metode literatur review dimana sumber dari beberapa jurnal dan data yang di olah menjadi deskriptif. Dalam artikel ini juga menghasilkan bahwa kebijakan program kartu prakerja mebantu memberikan intensi bagi peserta yang lolos dan dapat mengikuti pelatihan yang disediakan sesuai dengan keadaan saat ini. Pelatihan tersebut diharapkan dapat membantu membangun perekonomian karena pelatihan tersebut dapat membuka lapangan pekerjaan bagi mereka yang mengikuti program kartu pra kerja yang di sediakan pemerintah. Kata kunci : Kebijakan, program prakerja, pengangguran abstract The COVID-19 pandemic has had an impact on the economy in Indonesia from employees being laid off, layoffs, and reduced income for those who work. This problem made the unemployment rate higher than the previous year, so the government quickly made policies to reduce the unemployment rate in Indonesia. The policy is a pre-employment card program that is focused on those who have lost their jobs or reduced their income during  pandemic COVID-19. The purpose of this study is to find out how the pre-employment card program policy empowers the community to reduce unemployment. This study uses a literature review method were sources from several journals and data are processed to be descriptive. This article  showing that the pre-employment card program policy helps provide intentions for participants who pass and can take part in the training provided according to current conditions. The training expected to help build the economy because the training can create job opportunities for those who take part in the pre-employment card program provided by the government. Keywords: Policy, pre-employment program, unemployment 


2021 ◽  
Vol 9 (3) ◽  
pp. 387-396
Author(s):  
I.V. Lebedeva ◽  
◽  
Y.A. Olenin ◽  
V.S. Gziryan ◽  
◽  
...  

BACKGROUND: Human resources are the most important wealth of the country, which directly determines the welfare of the country, and the main production force is the working population. In addition, the working-age population mostly consists of men and women of fertile age, i.e. capable of reproduction of the population. Therefore, the study of the state of health and socio-hygienic factors that influence it in the working population is the most important task of the government. AIM: To identify and study social and hygienic factors that influence the health of the working-age urban population of the Moscow region at the beginning of XXI century. MATERIALS AND METHODS: We have developed a questionnaire containing more than 100 questions with multiple answers, covering social, hygienic and medical issues. A sociological study was conducted among men and women of the working age who turned to the city polyclinic of Domodedovo for medical care. The analysis of sociological data was carried out with the multivariate mathematical statistics methods used in the study of statistically related signs in order to identify a certain number of factors hidden from direct observation — factor analysis using Cattell test. RESULTS: Five socio-hygienic factors were identified (“social factor”, “health status factor”, “demographic factor”, “health care satisfaction factor”, “health care availability factor”), arranged by the load size and significance. They play a role in formation of health of the working-age urban population of the Moscow region and are closely related to each other. CONCLUSION: The obtained socio-hygienic factors have a considerable influence on health and permit to assess the risks affecting the health of the working-age urban population of the Moscow region and to precisely act on them by both municipal and regional administrative authorities, which in the future may also influence the demographic parameters. Social and hygienic factors are more correlated with the concept of “quality of life”, and this is actually a complex characteristic of the conditions of the life activity of the population, which is expressed in objective parameters and subjective assessments of the satisfaction of financial, social and cultural needs, taking into account the system of values and social standards.


2004 ◽  
Vol 5 (3) ◽  
pp. 297-317 ◽  
Author(s):  
Marika Karanassou ◽  
Dennis J. Snower

Abstract This paper provides a critique of the ‘unemployment invariance hypothesis’, according to which the behavior of the labor market, by itself, ensures that the long-run unemployment rate is independent of the size of the capital stock, productivity and the labor force. In the context of an endogenous growth model, we show that the labor market alone need not contain all the equilibrating mechanisms to ensure unemployment invariance; in particular, other markets may perform part of the equilibrating process as well. By implication, policies that raise the growth path of capital or increase the effective working-age population may influence the long-run unemployment rate.


2020 ◽  
Vol 8 (3) ◽  
pp. 329-342
Author(s):  
Inayati Nuraini Dwiputri ◽  
Muhammad Syam Kusufi ◽  
Albertus Girik Allo

The prediction of future macroeconomic conditions is needed by the government to carry out the planning and budgeting. This study predicts macro indicators in Hulu Sungai Utara Regency in the period 2017-2022. The method used is univariateforecasting, which includes the ARIMA model, exponential smoothing, and exponential smoothing with trend adjustment. The macroeconomic indicators used in this study are real Gross Domestic Regional Product (GDRP), economic growth, unemployment rate, and income distribution. The results of the analysis show that Brown's forecasting model is predicted that the real GDRP value tends to increase, forecasting results using a simple model on economic growth and the ARIMA (0.0,0) model on the unemployment rate, had predicted tends to be constant. And, the prediction of income distribution with the Holt model tends to increase. Keywords: macroeconomic, univariate, forecasting, ARIMA, exponential smoothing JEL Classification: E0, O1, C0


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