scholarly journals The Effect of Zakat, Poverty, Unemployment, and Per Capita Income on HDI Through Economic Growth As Intervening Variables in Central Java Period 2017-2020

2021 ◽  
Vol 1 ◽  
pp. 57-66
Author(s):  
Erin Yulfitasari ◽  
Anton Bawono
Keyword(s):  
Economic Growth ◽  
Capita Income ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Analysis Tool ◽  
Per Capita Income ◽  
Income Per Capita ◽  
Central Java ◽  
Per Capita

The purpose of this study was to determine the effect of zakat, poverty, unemployment, and income per capita on the human development index in Central Java with economic growth as an intervening variable. This research is a quantitative research with secondary data taken from the Central Java Baznas and the BPS website. The data used is panel data, which is a combination of time series data from 2017-2020 and cross section data of 35 districts/cities. The population of this study is in districts/cities in Central Java with saturated sampling. The analysis tool uses eviews 9.0 with regression analysis selected fixed effect model. The results showed that zakat and poverty had a significant effect on HDI, while unemployment and income per capita had no significant effect on HDI. Then zakat and poverty have a significant effect on economic growth, while unemployment and per capita income do not have a significant effect on economic growth. But economic growth has a significant effect on HDI. Then, simultaneously the variables of zakat, poverty, unemployment, and income per capita have no effect on HDI with economic growth as moderating.

scholarly journals FACTORS INFLUENCING PERSONAL BANKRUPTCY AMONG YOUTH IN MALAYSIA

2021 ◽  
Vol 3 (7) ◽  
pp. 85-91
Author(s):  
Suzana Hassan ◽  
Muhamad Khodri Kholib Jati ◽  
Nurul Huda Md Yatim ◽  
Mohd Azlan Abd Majid
Keyword(s):  
Unemployment Rate ◽  
Financial Literacy ◽  
Capita Income ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Per Capita Income ◽  
Personal Bankruptcy ◽  
Factors Influencing ◽  
Per Capita

The objective of this paper is to explore the factors influencing personal bankruptcy among youth in Malaysia. This paper intended in creating more awareness and give more information to Malaysian about the importance of personal insolvency is due to the increasing of personal insolvency cases from year to year especially in 2016, 2017, and 2018 which involves 290,001, 300,958, and 303,415 cases. Some Malaysian have issues in financial literacy and it will lead to growth in personal bankruptcy cases if there is less initiative to avoid it. Other than that, the objectives of this paper are to discover whether a Non-Performing Loan, unemployment rate, and per capita income affect the bankruptcy cases in Malaysia. This paper using secondary data analysis using time series data yearly starting from 1985 until 2017 and it is consisting of thirty-three observations. The result showed Non-Performing Loan and per capita income are positively significant with personal bankruptcy while positively insignificant with the unemployment rate.

scholarly journals Analysis of Macroeconomic Indicators and It's Effect on Human Development Index (HDI)

Society ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 596-610
Author(s):  
Prince Charles Heston Runtunuwu
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Capita Income ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Linear Regression Models ◽  
Per Capita Income ◽  
Development Index ◽  
Per Capita

This research aims to determine the effect of inflation, per capita income. The method used is a quantitative method with a descriptive approach. The data analysis technique uses multiple linear regression models, which are continued by the classical assumption test. This research uses secondary data, precisely ten years of time-series data from 2010-2019 obtained from the Central Bureau of Statistics, books, literature, the internet, records, and other sources related. The research sample consisted of 40 data taken per quarter, from 2010-2019. The analytical method used in this research is multiple linear regressions. The results showed that inflation had a negative and insignificant effect on Human Development Index (HDI). In contrast, per capita income and unemployment had a negative and significant effect on Human Development Index (HDI). Inflation, per capita income, and unemployment significantly affected the Human Development Index (HDI) in Ternate City. The independent variable’s determination (R Square) on the dependent variable is 0.836 or 83.6%. It means inflation, per capita income, and unemployment can affect the Human Development Index (HDI) in Ternate City at 83.6%, remaining 16.4% by other factors.

scholarly journals DETERMINASI EKSPOR NON MIGAS INDONESIA KE JEPANG

Media Ekonomi ◽  
2019 ◽  
Vol 25 (2) ◽  
pp. 147
Author(s):  
Soeharjoto Soeharjoto
Keyword(s):  
Time Series ◽  
Regression Analysis ◽  
Exchange Rates ◽  
Capita Income ◽  
Oil And Gas ◽  
Time Series Data ◽  
Series Data ◽  
Per Capita Income ◽  
Oil Exports ◽  
Per Capita

<em></em><em><em>This study aims to determine the factors that affect Indonesia's non-oil exports to Japan. The variables used are imports, exchange rates, per capita income, inflation and non-oil exports of Indonesia to Japan</em>. <em>The analytical method used is regression analysis with data used for quarterly time series data from 2005-2016.</em> <em>The results are variable imports of raw and auxiliary materials, cycles, inflation, real Japanese GDP, and the population is able to explain Indonesia's non-oil exports to Japan by 31.3 percent. Imports, exchange rates, per capita income and inflation have a positive and significant effect on non-oil and gas exports to Japan.</em></em><em> </em>

scholarly journals Pengaruh Infrastruktur terhadap Pertumbuhan Ekonomi di Provinsi Jawa Tengah

2020 ◽  
Vol 5 (02) ◽  
pp. 169-179
Author(s):  
Saadatul Kamilla ◽  
Dinar Melani Hutajulu
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Multiple Linear Regression Model ◽  
Secondary Data ◽  
Series Data ◽  
Economic Activities ◽  
The Road ◽  
Central Java ◽  
Independent Variable ◽  
Basic Infrastructure

ABSTRACT One of the most important aspects in economic development is infrastructure. Adequate and equitable infrastructure in all regions of a country will facilitate economic performer in accessing and carrying out economic activities. A good economic activities will create economic growth. The main purpose of this research is to know the effect of infrastructure on economic growth. The study was conducted in Central Java province using secondary data from 2006-2018. The independent variable of this study is the basic infrastructure including roads, electricity and water. While the dependent variable is the GRDP. The model used is multiple linear regression model using time series data. The results of this study indicate that the road infrastructure variable is significant to  influence on economic growth. The variable infrastructure of electricity shows significant results and have a positive effect on economic growth. Variable infrastructure of water shows the results are insignificant on economic growth. Keywords: economic growth, road, electricity, water

scholarly journals The Impact of Per Capita Income and Labour Absorption toward Poverty Level in Gorontalo Province

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Nelvi Oktaviani R Gobel ◽  
Sri Endang Saleh
Keyword(s):  
Capita Income ◽  
Time Series Data ◽  
Negative Impact ◽  
Positive Impact ◽  
Series Data ◽  
Per Capita Income ◽  
Poverty Level ◽  
Per Capita ◽  
The Impact ◽  
Labour Absorption

This research aims to investigate the impact of per capita income and labour absorption toward poverty level in Gorontalo Province during 2012-2017. This research uses time-series data model from secondary datasets that is obtained from Central Statistics Bureau (Badan Pusat Statistik, BPS). Main findings of this research shows that per capita income has negative impact on poverty level in Gorontalo province while labour absorption has positive impact on poverty level in Gorontalo Province. Keywords: Poverty; Per Capita Income; Labor Absorption

scholarly journals Dependency Ratio, Foreign Capital Inflows and the Rate of Savings in Pakistan

1992 ◽  
Vol 31 (4II) ◽  
pp. 843-856 ◽  
Author(s):  
Ashfaque H. Khan ◽  
Lubna Hasan ◽  
Afla Malik
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Economic Performance ◽  
Capita Income ◽  
Series Data ◽  
Per Capita Income ◽  
Savings Rate ◽  
Foreign Capital Inflows ◽  
Per Capita ◽  
Savings Rates

National savings are critically important to help maintain a higher level of investment which is a key determinant of economic growth. Although savings rates have fallen in many developing countries during the last two decades, Pakistan presents a unique picture of experiencing high rates of economic growth along with very low savings rates. In fact, the national savings rate of Pakistan is not only low compared to that in many countries with per capita income about the same as Pakistan's but it is even lower to that in some South Asian countries with lower per capita income. Pakistan's economic performance during the last three decades has been impressive. Real gross national product (GNP) has grown at an average rate of 6.0 percent per annum since 1960. The national savings rate, on the other hand, has fluctuated around an almost horizontal trend (15 percent) during the same period. Thus, Pakistan's saving performance and its overall economic performance appear to be incongruous. Although the low savings rates have become a major source of concern in recent years, not much attention has been devoted to highlight the key determinants of saving in Pakistan. In recent years, few studies have been done on this issue using both the time-series and cross-section data. Qureshi (1981); Abbot and DeRosa (1984) and Khan (1988) using time-series data have examined various determinants of household/national savings. Qureshi (1981) concentrated on economic determinants and found income and its rate of growth, the rate of return on financial assets and rate of inflation as key factors influencing household savings in Pakistan.

scholarly journals Pengaruh Belanja Pemerintah Terhadap Pendapatan Perkapita Indonesia

2020 ◽  
Vol 9 (2) ◽  
pp. 1
Author(s):  
Jamaludin Jamaludin ◽  
Hijri Juliansyah
Keyword(s):  
Government Spending ◽  
Capita Income ◽  
Time Series Data ◽  
Health Sector ◽  
Series Data ◽  
Per Capita Income ◽  
Education And Health ◽  
Short And Long Term ◽  
Per Capita ◽  
The Republic

This study was conducted to determine the effect of government spending on the education and health sectors on Indonesia's per capita income. The data used in this study are time series data from 1990- 2018 obtained from the website of the Ministry of Finance of the Republic of Indonesia and the Indonesian Central Bureau of Statistics (BPS). The data are then analyzed using dynamic analysis of the ARDL model. The results showed that government spending in the education sector had no effect on Indonesia's per capita income for the 1990-2018 period, both in the long and short term. Government spending in the health sector affects Indonesia's per capita income for the 1990-2018 period in the short and long term

scholarly journals Dampak Perubahan Pendapatan Perkapita Terhadap Perubahan Struktur Ekonomi Provinsi Daerah Istimewa Yogyakarta

2018 ◽  
Vol 22 (1) ◽  
pp. 19
Author(s):  
Sugeng Purwanto ◽  
Sugiharti Mulya Handayani
Keyword(s):  
Time Series ◽  
Capita Income ◽  
Time Series Data ◽  
Economic Structure ◽  
Research Data ◽  
Series Data ◽  
Per Capita Income ◽  
Tertiary Sector ◽  
Per Capita ◽  
Special Region

The objective of this research to analyze the effect of change in per capita income to the change in economic structure. The research using time series data for 10 years (1994-2003) with 1993 as the basic year. The data used in this research are The Special Region of Yogyakarta Gross Regional Domestic Product data, The spesial Region of Yogyakarta Export Value data, per capita income, labor data and other relevant data which support the research. Data was collected from Yogyakarta Central Bureau Of Statistic (BPS) and other relevant sources. The data was analyzed using regression analysis. The result of this research showed that primary sector are no longer as the primer sector of Special Region of Yogyakarta and a leap of economics structural changing from primary to tertiary sector.

scholarly journals ANALYSIS OF WELFARE IN INDONESIA: CASE STUDY IN 2008-2017

2019 ◽  
Author(s):  
Basri Bado
Keyword(s):  
Natural Resources ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Income Per Capita ◽  
Section Data ◽  
Panel Data Regression ◽  
Data Regression ◽  
Per Capita

<p>The purpose of the study was to analyze the factors of natural resources, income per capita, infrastructure, education, institutions and population against inequality between regions and welfare in Indonesia. This study uses panel data regression analysis. This study analyzes secondary data consisting of 33 provincial cross section data and 10 years time series data (2008-2017).<br>The results of the study found inequality between regions in Indonesia with different intensities. Factors of natural resources, income per capita, infrastructure, education, wealth and population have a positive and significant effect on inequality between Factors of natural resources, income per capita, infrastructure, education, wealth and population have a positive and significant effect on inequality between regions. Furthermore, 2% of the inequality variables between regions affect the level of welfare and the rest are influenced by natural resources, per capita income, infrastructure, education, institutions and population.</p>

scholarly journals ANALYSIS OF WELFARE IN INDONESIA: CASE STUDY IN 2008-2017

2019 ◽  
Author(s):  
Basri Bado
Keyword(s):  
Natural Resources ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Income Per Capita ◽  
Section Data ◽  
Panel Data Regression ◽  
Data Regression ◽  
Per Capita

<p>The purpose of the study was to analyze the factors of natural resources, income per capita, infrastructure, education, institutions and population against inequality between regions and welfare in Indonesia. This study uses panel data regression analysis. This study analyzes secondary data consisting of 33 provincial cross section data and 10 years time series data (2008-2017).<br>The results of the study found inequality between regions in Indonesia with different intensities. Factors of natural resources, income per capita, infrastructure, education, wealth and population have a positive and significant effect on inequality between Factors of natural resources, income per capita, infrastructure, education, wealth and population have a positive and significant effect on inequality between regions. Furthermore, 2% of the inequality variables between regions affect the level of welfare and the rest are influenced by natural resources, per capita income, infrastructure, education, institutions and population.</p>

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