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 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 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 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 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 VARIABLES AFFECTING THE HOUSEHOLD DEMAND FOR KEROSENE FUEL IN INDONESIA

IQTISHODUNA ◽  
2011 ◽  
Vol 3 (1) ◽  
Author(s):  
George M. V. Kawung
Keyword(s):  
Capita Income ◽  
Time Series Data ◽  
Series Data ◽  
Household Demand ◽  
Per Capita Income ◽  
Fuel Price ◽  
Population Number ◽  
Correction Model ◽  
Per Capita

This research is aimed: (a) to discover the variables affecting the household demand for kerosene fuel in Indonesia, (b) to know the dominant variables found above.  The research used time series data from 1995-quarter I to 2004-quarter-IV, by using Dynamic Linear Model (DLM) approach by Error Correction Model (ECM).  The results showed that (a) in the short term,  household demand for kerosene fuel in Indonesia is affected by kerosene price itself, per capita income, and population number.  While at long term, it is affected by per capita income and population number. (b) The most dominant variables affecting the household demand for kerosene fuel in Indonesia was the kerosene fuel price.

scholarly journals ANALISIS PERMINTAAN KEDELAI DI INDONESIA

2017 ◽  
Vol 12 (1) ◽  
pp. 42
Author(s):  
Septi Rostika Anjani ◽  
Dwidjono Hadi Darwanto ◽  
Jangkung Handoyo Mulyo
Keyword(s):  
Regression Analysis ◽  
Capita Income ◽  
Income Elasticity ◽  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Per Capita Income ◽  
Elasticity Of Demand ◽  
Per Capita ◽  
Income Elasticity Of Demand

This study aims to analyze the factors that influence the demand of soybean in Indonesia. The research method uses descriptive analysis of secondary data which includes the price of imported soybeans, the price of chicken, per capita  income,  the rate of inflation and import tariff policy  year period 1980-2013 which sourced from FAO  and  other  sources.  Estimation  of  demand  function  using  multiple  linear regression  analysis  were  transformed  in  the  form  of  natural  logarithm.  Regression analysis showed that soybean demand in Indonesia was influenced partially by prices of chicken, per capita income, and the rate of inflation. The price elasticity of demand of soybean in Indonesia is inelastic, that is equal 0,22. While the income elasticity of demand  for  soybeans  is  positive  which  means  that  soy  is  a  staple  item  for  the Indonesian people.

scholarly journals DAYA SAING EKONOMI PROVINSI JAMBI

2019 ◽  
Vol 15 (1) ◽  
pp. 68-76
Author(s):  
Sudirman Sudirman ◽  
Susilawati Susilawati
Keyword(s):  
Growth Rate ◽  
Capita Income ◽  
Secondary Data ◽  
Type I ◽  
Per Capita Income ◽  
Economic Sectors ◽  
Rate Of Growth ◽  
Per Capita ◽  
Typology Analysis ◽  
The City

In this study, we want to see the economic basis and pattern of economic structure in JambiProvince, This study uses secondary data, namely Jambi Provisional PDRB and 11 municipaldistricts in Jambi province in 2010 - 2017 in this study to see the basis of the economy and the mixof economic sectors in Jambi province using the LQ model and the classification typology. Theresults of this study indicate that from the results of the classic typology analysis, it can be seen thatthe patterns and structure of economic growth from 9 districts and 2 cities in Jambi Province, WestTanjung Jabung and East Tanjung Jabung districts are classified into Quadrant III decliningprosperous regions (potential to be left behind ), which means that the rate of growth and incomeper capita of Tanjung Jabung Barat district is higher than the per capita income of Jambi Provinceand the growth rate of Tanjung Jabung Barat district is lower than the rate of growth of JambiProvince. Whereas the City of Full Sei is classified into the prospereus quadrant type I area whichmeans that the per capita income of Sei Full City is greater than the income of the Perkapita ofJambi Province and the growth rate of the city of Full Sei is greater than the Growth Rate in JambiProvince.

scholarly journals AN EVALUATION OF FINANCIAL PERFORMANCE OF MUNICIPAL CORPORATIONS IN KARNATAKA WITH REFERENCE TO MYSURU AND MANGALURU CITY CORPORATIONS

YMER Digital ◽  
2021 ◽  
Vol 20 (12) ◽  
pp. 569-528
Author(s):  
Mahesha N M ◽  
◽  
Dr. K Nagendrababu ◽  
Keyword(s):  
Financial Performance ◽  
State Government ◽  
Capita Income ◽  
Secondary Data ◽  
Per Capita Income ◽  
Secondary Sources ◽  
Capita Expenditure ◽  
Significant Difference ◽  
Development Expenditure ◽  
Per Capita

The research study attempts to evaluate the financial performance of Mysuru and Mangaluru City Corporations in Karnataka. The study is based on secondary data, which will be collected through secondary sources of financial statements of Mysuru and Mangaluru city corporation. The data so collected will be tabulated appropriately to achieve the objectives set. Required statistical tools will also be used to test the hypotheses formulated in the study. The per capita income and per capita expenditure were increased in all selected Municipal corporations during the study period 2010-11 to 2019-20. There is no significant difference in per capita income between Mysuru CC and Mangaluru CC, which means per capita income is almost equal in selected Municipal Corporations. The per capita expenditure is also equivalent to Mysuru CC and Mangaluru CC. It also found that the expenditure of selected Municipal Corporation is high compared to their income, which means the selected Municipal Corporation depends on State Government grants and loans. There is a significant difference between the development and non -development expenditure on revenue account of both Mysuru and Mangaluru City Corporations. The Mysuru CC had the highest development expenditure in 2017-18 and became 262.64 crores and lowest by 50.04 crores of Mangaluru CC in 2012-13. The Mysuru CC has the highest non-development expenditure in 2019-20 and became 199.52 crores and lowest by 16.73 crores of Mangaluru CC in 2010-11.

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