scholarly journals THE OPPORTUNITY TO ACCESS BETTER INFORMATION TECHNOLOGY

2021 ◽  
Vol 14 (1) ◽  
pp. 33-39
Author(s):  
Eri Mardison
Keyword(s):  
Information Technology ◽  
Influencing Factors ◽  
Capita Income ◽  
Household Head ◽  
Internet Access ◽  
Per Capita Income ◽  
Number Of Factors ◽  
Per Capita

Children are born without being able to choose a number of factors that are attached to them. This is in fact unfair to him in supporting his future. HOI exists to calculate a number of factors that cause imbalance and how much inequality should be reallocated. The usage of cellphone has covered 63.86 percent. The inequality that must be reallocated is 8.76 percent. Per capita income and residence are the dominant influencing factors. In the case of cellphone ownership, the coverage was still 33.12 percent, with an inequality reallocation of 17.05 percent. Per capita income and residence are the dominant factors. Access coverage on new computers reached 17.35 percent with reallocation of inequalities reaching 28.87 percent. Per capita income, residence and certificate of household head are the dominant factors. Meanwhile internet access has covered 35.02 percent with inequality reallocation reaching 17.85 percent. Per capita income, residence and certificate of household head are the most dominant things. An understanding of reality is very important in taking online policies against children that happen to be implemented during the Covid-19 period and possibly afterward.

scholarly journals Socio-Economic and Demographic Factors of Poverty Alleviation in Pakistan: A Case Study of Southern Punjab

2020 ◽  
Vol 6 (2) ◽  
pp. 525-538
Author(s):  
Rashid Ahmad ◽  
Muhammad Zahir Faridi
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Capita Income ◽  
Household Head ◽  
Rural Poverty ◽  
Least Square ◽  
Per Capita Income ◽  
High Dependency ◽  
Per Capita ◽  
Dependency Rate

This study aims to explore the socio-economic and demographic determinants of poverty in Southern Punjab by using the cross sectional data consisting of 785 household heads. Binary logistic regression  and ordinary least square method are used for estimation. The findings exhibit that the variables like family system, household size, presence of disease and status of employment of household head are positively and significantly related to  poverty whereas household head age, rural-to-urban migration,  years of schooling,  number of earners, women status of work, remittances, the physical assets value and ownership of house significantly and negatively influence the likelihood of poverty and positively influence the per capita income of the households in Southern Punjab. The study also provides the comparison of regional and division level. It is concluded that DG Khan division is the poorest among all the divisions of the southern Punjab. In DG Khan Division, the households have less education, high dependency ratio. In rural areas of southern Punjab, there is more poverty as compare to urban areas. The rural poverty is due to many factors like high dependency rate, lower level of education, adoption of profession, lower per capita income, dissaving. It is suggested that education should be promoted, employment opportunity should be provided so that dependency rate may be reduced, rural areas should be restructured by provision of basic necessities of life.

scholarly journals Per Capita Income Inequality in Czech Households Before, During and After the Economic and Financial Crisis

2020 ◽  
Vol 68 (5) ◽  
pp. 885-899
Author(s):  
Markéta Hnízdilová ◽  
Václav Adamec
Keyword(s):  
Czech Republic ◽  
Financial Crisis ◽  
Income Inequality ◽  
Capita Income ◽  
Household Head ◽  
Income Level ◽  
Per Capita Income ◽  
The Czech Republic ◽  
Per Capita ◽  
Economic And Financial Crisis

The study tackles the issue of distribution inequality in equalized per capita income in households defined by multiple grouping criteria in the Czech Republic before, during and after the economic and financial crisis. The factors were economic status of the household head, number of children, education and the NUTS 3 administrative regions. Interval grouped per capita income data assembled within the EU-SILC framework via quota sampling were received from czso.cz for 2008, 2012 and 2016. Indicators of income level, variation, quantiles, medial and Gini index were calculated for the respective household groups. Income concentration in the Czech Republic is considerably low among OECD states and still decreasing due to government social and economic policy and favourable phase of the economic cycle. The largest income inequality was detected in the self-employed, jobless and qualified employees, households with 3 or more children, single-parent families with dependants, households with one or both tertiary educated parents or households residing in Prague or Středočeský region. The threat of poverty is imminent in the jobless, economically inactive pensioners, unqualified labourers and households with 3 or more children. Geographically, the poverty affects households mostly in Moravskoslezský or Ústecký regions. Government measures evidently helped reduce income inequality, poverty and social exclusion in Ústecký region in 2008. The least affected regions by poverty were Prague and Středočeský region. Significant differences in income level or concentration of income distributions by regional and other household grouping criteria were revealed.

scholarly journals HOUSEHOLDS’ WILLINGNESS TO PAY FOR SOLID WASTE MANAGEMENT SERVICES IN LOC NINH COMMUNE, DONG HOI CITY

2018 ◽  
Vol 55 (4C) ◽  
pp. 162
Author(s):  
Tran Ngoc Tuan
Keyword(s):  
Willingness To Pay ◽  
Capita Income ◽  
Solid Waste Management ◽  
Weighted Average ◽  
Sampling Technique ◽  
Per Capita Income ◽  
Analysis Model ◽  
Number Of Factors ◽  
Local Residents ◽  
Per Capita

The willingness to pay (WTP) for environmental sanitation fee was examined with an aim to estimate the average WTP of local residents in Loc Ninh commune, Dong Hoi city, and to analyze a number of factors influencing the WTP level. Ninety six households were selected with a Stratified Random Sampling technique and interviewed with structured questionnaires on different fee levels that they were willing to pay for. The analysis results processed with Weighted Average Method showed that the average WTP was 18,440 VND/month. The highest and lowest WTP per month were 26,000÷29,000 VND/month and 17,000 VND/month, respectively. Based on Regression Analysis Model added in the Analysis Toolpak of MS. Excel, this paper investigated 4 key demographic characteristics of respondents; namely age, sex, occupation and per capita income which likely affected the WTP level. Of which, education and per capita income greatly influenced the WTP, i.e. respondents with higher levels of these factors showed higher level of WTP. In terms of occupation, the WTP of those residents who were engaged in farming were lower than that of other surveyed occupations.

The Problem of Agricultural Taxation in West Pakistan and an Alternative Solution: A Comment (Notes & Comments)

1973 ◽  
Vol 12 (4) ◽  
pp. 433-437
Author(s):  
Sarfaraz Khan Qureshi
Keyword(s):  
Capita Income ◽  
Agricultural Sector ◽  
Central Government ◽  
Policy Implications ◽  
Farm Size ◽  
Per Capita Income ◽  
Tax Rate ◽  
Water Rate ◽  
Per Capita ◽  
The Government

In the Summer 1973 issue of the Pakistan Development Review, Mr. Mohammad Ghaffar Chaudhry [1] has dealt with two very important issues relating to the intersectoral tax equity and the intrasectoral tax equity within the agricultural sector in Pakistan. Using a simple criterion for vertical tax equity that implies that the tax rate rises with per capita income such that the ratio of revenue to income rises at the same percentage rate as per capita income, Mr. Chaudhry found that the agricultural sector is overtaxed in Pakistan. Mr. Chaudhry further found that the land tax is a regressive levy with respect to the farm size. Both findings, if valid, have important policy implications. In this note we argue that the validity of the findings on intersectoral tax equity depends on the treatment of water rate as tax rather than the price of a service provided by the Government and on the shifting assumptions regard¬ing the indirect taxes on imports and domestic production levied by the Central Government. The relevance of the findings on the intrasectoral tax burden would have been more obvious if the tax liability was related to income from land per capita.

A Successful Population Policy: Potentials and Constraints (Distinguishedl Lecture)

1993 ◽  
Vol 32 (4I) ◽  
pp. 411-431
Author(s):  
Hans-Rimbert Hemmer
Keyword(s):  
Developing Countries ◽  
Economic Development ◽  
Population Growth ◽  
Capita Income ◽  
Population Policy ◽  
Mortality Rates ◽  
Per Capita Income ◽  
Access To Health Services ◽  
Industrial Countries ◽  
Per Capita

The current rapid population growth in many developing countries is the result of an historical process in the course of which mortality rates have fallen significantly but birthrates have remained constant or fallen only slightly. Whereas, in industrial countries, the drop in mortality rates, triggered by improvements in nutrition and progress in medicine and hygiene, was a reaction to economic development, which ensured that despite the concomitant growth in population no economic difficulties arose (the gross national product (GNP) grew faster than the population so that per capita income (PCI) continued to rise), the drop in mortality rates to be observed in developing countries over the last 60 years has been the result of exogenous influences: to a large degree the developing countries have imported the advances made in industrial countries in the fields of medicine and hygiene. Thus, the drop in mortality rates has not been the product of economic development; rather, it has occurred in isolation from it, thereby leading to a rise in population unaccompanied by economic growth. Growth in GNP has not kept pace with population growth: as a result, per capita income in many developing countries has stagnated or fallen. Mortality rates in developing countries are still higher than those in industrial countries, but the gap is closing appreciably. Ultimately, this gap is not due to differences in medical or hygienic know-how but to economic bottlenecks (e.g. malnutrition, access to health services)

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 European Regional Inequalities: The Other Face of Development

2017 ◽  
Vol 9 (4) ◽  
pp. 163
Author(s):  
Celeste Perrucchini ◽  
Hiroshi Ito
Keyword(s):  
European Union ◽  
Empirical Evidence ◽  
Capita Income ◽  
Relevant Literature ◽  
Point Of View ◽  
The European Union ◽  
Per Capita Income ◽  
Member States ◽  
Eu Member States ◽  
Per Capita

Empirical evidence suggests an overall convergence in terms of GDP and per capita income occurring among the European Union (EU) Member States. Nevertheless, economic inequalities have been increasing at the regional level within European Union countries. Through the review of relevant literature, this study analyzes the increasing inequalities from an economical point of view, focusing on Italy and the UK as examples. First, a general overlook of the empirical evidence of the GDP and per capita income at national and sub-national levels will be presented. Second, an explanation of the possible causes of the results will be proposed through the use of economical and sociological theories. The findings of this research might uncover the relative inefficacy of EU Cohesion policies and point towards the necessity for deeper and more thoughtful measures to continue the convergence of Member States while preserving internal equilibria. This paper ends with discussions for the future directions of the EU.

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