scholarly journals Economic Factors behind Social Entrepreneurship in Bangladesh

2019 ◽  
Vol 2 (2) ◽  
pp. p115
Author(s):  
Farhana Yasmin ◽  
Farhana Ferdousi Aziz
Keyword(s):  
Human Capital ◽  
Regression Analysis ◽  
Labor Force ◽  
Unemployment Rate ◽  
Capita Income ◽  
The Self ◽  
Per Capita Income ◽  
Literacy Rate ◽  
Self Employment ◽  
Per Capita

Bangladesh has pool of entrepreneurs whereas there are also new establishments; new employment opportunities and so are the income sources. For the better measurement of entrepreneurship characteristics, the growth and different indicators impact on entrepreneurship needs to be identified. Thus this paper tries to find out the key economic indicators of entrepreneurship in the context of Bangladesh. The research is based on secondary research; has used entrepreneurship as a dependent variable proxied by self-employment and seven independent variables—per capita income, unemployment rate, labor force, industrial structure change, capital, human capital and literacy rate. Two regression models have been used encompassing the stated variable data from year 2008 to 2018. In the first regression analysis it has been tried to identify whether the model can be constructed with the overall economic variables with the self employment. At second regression model it has been tried to find out whether there is the explain ability of the variables result in the regression analysis and what is the degree and pattern of the relationship. The research shows that literacy rate and human capital have aligned with the self employment. But all the other variables are not matched with the self employment and could not provide the support for self employment to thrive. And the linear regression analysis shows that per capita income, labor force and literacy rate play the most important role in case of nourishing self employment. Unemployment rate is found as contradictory with the findings in the context of Bangladesh.

scholarly journals Var Modelling of Dynamics of Poverty, Unemployment, Literacy and Per Capita Income in Nigeria

2019 ◽  
Vol 19 (1) ◽  
pp. 73-88
Author(s):  
Adefemi Alamu Obalade ◽  
Ayooluwade Ebiwonjumi ◽  
Anthony Olugbenga Adaramola
Keyword(s):  
Unemployment Rate ◽  
Capita Income ◽  
Poverty Reduction ◽  
High Rate ◽  
Var Model ◽  
National Bureau ◽  
Per Capita Income ◽  
Literacy Rate ◽  
Per Capita ◽  
The Impact

Abstract Research background: Poverty, unemployment, literacy and per capita income are intertwined. However, there seems to be a disconnect between literacy and good living in Nigeria. Purpose: This study investigated the dynamic relationship between poverty, unemployment, literacy and per capita income in Nigeria by examining the impact, shocks and responses among these identified variables. Research methodology: The secondary data on poverty, unemployment and literacy rates were extracted from the National Bureau of Statistics and per capita income was extracted from the World Bank Annual Report. A vector autoregressive (VAR) model of lag order (4) was adopted for the study. Results: The results revealed that poverty rate is an increasing function of unemployment rate and literacy rate and a reducing function of per capita income. The results further showed that dynamics of poverty is affected by shocks in unemployment rate, literacy rate and per capita income. Novelty: Therefore, the study concluded that literacy rate fails as a vital tool for poverty reduction and that the high rate of unemployment results in chronic poverty. The application of VAR to untangle the interrelationship among the variables, without doubt, adds to the literature on the uses of the VAR model.

Income-Based Poverty among Non-Farm Households in Rural Punjab

2020 ◽  
pp. 204-210
Keyword(s):  
World Bank ◽  
Capita Income ◽  
Poverty Line ◽  
Farm Households ◽  
Farm Household ◽  
Expert Group ◽  
Per Capita Income ◽  
Service Category ◽  
Self Employment ◽  
Per Capita

This paper focuses upon the magnitude of income-based poverty among non-farm households in rural Punjab. Based on the primary survey, a sample of 440 rural non-farm households were taken from 44 sampled villages located in all 22 districts of Punjab.The poverty was estimated on the basis of income level. For measuring poverty, various methods/criteria (Expert Group Criteria, World Bank Method and State Per Capita Income Criterion) were used. On the basis of Expert Group Income criterion, overall, less than one-third of the persons of rural non-farm household categories are observed to be poor. On the basis, 40 percent State Per Capita Income Criteria, around three-fourth of the persons of all rural non-farm household categories are falling underneath poverty line. Similarly, the occurrence of the poverty, on the basis of 50 percent State Per Capita Income Criteria, showed that nearly four-fifths of the persons are considered to be poor. As per World Bank’s $ 1.90 per day, overall, less than one-fifth of rural non-farm household persons are poor. Slightly, less than one-fourth of the persons are belonging to self-employment category, while, slightly, less than one-tenth falling in-service category. On the basis of $ 3.10 per day criteria, overall, less than two-fifth persons of all rural non-farm household categories were living below the poverty line.

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 Predictors of Adolescent Academic Achievement: The Role of Individual and Family Socioeconomic Factors

2020 ◽  
Vol 4 (2) ◽  
pp. 105-119
Author(s):  
Melly Latifah ◽  
Rizky Amelia
Keyword(s):  
Academic Achievement ◽  
Regression Analysis ◽  
Capita Income ◽  
Parental Education ◽  
Per Capita Income ◽  
Cognitive Intelligence ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Per Capita ◽  
Adolescent Academic Achievement

Academic achievement is affected by external and internal factors. This study generally aims to examine the influence of family characteristics (per capita income and parental education), individual characteristics (age and gender), cognitive intelligence, and self-regulated learning toward academic achievement in adolescents. A total of 91 samples (Mage=13.9 years) with the largest percentage of the respondents were women were selected from two different junior high schools in Bogor area. Cognitive intelligence, self-regulated learning, and academic achievement were measured using Riley Inventory Basic of Learning Skills (RIBLS), Motivated Strategies for Learning Questionnaire (MSQL), and student academic record, respectively. The partial regression analysis showed there was a negative effect of mother’s education on self-regulated learning. Gender was found to positively predicted cognitive intelligence. The regression analysis also showed that parental education and cognitive intelligence positively predicted adolescent academic achievement. Per capita income, gender, and self-regulated learning showed no significant effects on academic achievement.

scholarly journals Child Labor’s Link with Literacy and Poverty in Pakistan

2005 ◽  
Vol 10 (1) ◽  
pp. 15-32 ◽  
Author(s):  
Imran Ashraf Toor
Keyword(s):  
Child Labor ◽  
Capita Income ◽  
Policy Making ◽  
Negative Relationship ◽  
Female Child ◽  
Per Capita Income ◽  
Literacy Rate ◽  
Complex Issue ◽  
Developmental Issue ◽  
Per Capita

In developing countries, children have long been largely ignored in public policy-making and the development of program strategies for improving their welfare. The complex issue of child labor is a developmental issue worth investigating. The notion that children are being exploited and forced into labor, while not receiving education crucial to development, concerns many people. This study focuses on child labor in Pakistan with two main objectives. We first estimate the prevalence of child labor in the 100 districts of Pakistan and then examine the hypothesis that child labor is significantly higher in districts that have a higher incidence of poverty and lower level of educational attainment. The results show that child labor has a negative relationship with the literacy rate both 10-14 year age and 15 years and above. There is a negative but insignificant relationship with per capita income and Deprivation Index in the case of male child labor. The study proved that literacy rate and per capita income has influenced negatively on female child labor.

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>

Analysis on Enhancing Private Sector Contribution in GDP through E-Government and Research in ASEAN Region

2020 ◽  
pp. 31-38
Author(s):  
Kevin Hart ◽  
Samhitha Kalman
Keyword(s):  
Private Sector ◽  
Capita Income ◽  
Control Variable ◽  
Per Capita Income ◽  
Literacy Rate ◽  
Review Section ◽  
Systems Research ◽  
Per Capita ◽  
Asean Countries ◽  
The Impact

Private sector is important for a country as it contributes to the economy and GDP of a country to a greater extent. E-government is the use of latest technologies in the services provided by the government and other information management systems. Research and development is the process applied before introducing a new product or starting a new business. This study analyzes the influence of e-government adoption and R&D process on private sector contribution of GDP in ASEAN countries. Two control variables i.e. literacy rate and per capita income have also been used. The past studies have been discussed in literature review section. For analysis purpose, data about the concerned variables has been collected from ASEAN countries for 27 years. After application of several tests and methods i.e. IPS unit root test, Pedroni cointegration test and FMOLS coefficient estimation test, the two major hypotheses of this study are accepted along with the impact of a control variable, literacy rate. However, the impact of other control variable i.e. per capita income is rejected. This study has various implications in theoretical, practical and policy making context in order to increase the performance and GDP contribution by private sector.

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