scholarly journals The Role of Fiscal Policy in Human Development: The Pakistan’s Perspective

2012 ◽  
Vol 51 (4II) ◽  
pp. 381-396
Author(s):  
Syed Ammad Ali ◽  
Hasan Raza ◽  
Muhammad Umair Yousuf
Keyword(s):  
Economic Growth ◽  
Human Development ◽  
Purchasing Power Parity ◽  
Labour Productivity ◽  
Physical Capital ◽  
Sustainable Growth ◽  
Standard Of Living ◽  
Power Parity ◽  
Life Expectancy At Birth ◽  
Per Capita

Human development considered as the engine of the economic growth as it improves the economy’s strength and increases the standard of living of the people, increases the choices and maximises the welfare of the society that is the prime objective of any government. The development of the human capabilities is also necessary for the sustainable growth, as there are many channels through which human development foster the economic growth. It increases the labour productivity, labour demand, employment and output. On the other hand, human capital also attracts physical capital.1 Empirically, it is very difficult to have an exact measure of human development and social welfare. Several proxies used to measure human development, e.g. GNI per capita as a measure of standard of living, Purchasing Power Parity (PPP) criterion to measure the cost of living and to measure the welfare, average year of schooling, school enrolment rate and health expenditures as a percentage of GDP to capture this composite welfare and development indicator. A fair index of Human Development Index (HDI) was developed by United Nations Development Programme in 1990. This index based on the standard of living (natural logarithm of GDP PPP per capita), access to knowledge (adult literacy rate with two-third weighting and the remaining is the gross enrolment ratio) and a healthy life (life expectancy at birth). The value of index varies from 0 to 1, lower the HDI, lesser would be the human development and welfare in the country or vice versa.

scholarly journals Pemanfaatan Bonus Demografi melalui Peningkatan Indeks Pembangunan Manusia di Sumatera Utara

2015 ◽  
Vol 7 (1) ◽  
pp. 1
Author(s):  
Sugiharto Sugiharto ◽  
Deny Setiawan
Keyword(s):  
Human Development ◽  
Purchasing Power Parity ◽  
Human Development Index ◽  
Health Sector ◽  
Age Group ◽  
Power Parity ◽  
Development Index ◽  
Capita Expenditure ◽  
Per Capita ◽  
Years Of Schooling

This writing aims to gain the picture of profile in using of demographic bonus through increasing Human Development Index in the North Sumatra Province. It focus on local policy in utilizing the demographic bonus through elevating Human Development Index on several sectors such as education, health, and economy. Education sector coverage two indicators following Adult Literacy Rate Index (Lit) and Mean Years of Schooling Index (MYS). The population in this research is the citizen’s age group of 15 and more due to in fact that there many student dropout from the age group. The limitation is required for gain the representative number which is represents the fact, considering that citizen age group lower than 15 is still in schooling or preparing to school so it not apropriate to relying the years of schooling. Health sector indicate the numbers of years of life which  is hopefully can be enjoyed by the citizens in an area by entering information regarding annual birth rate and death rate (variable e₀), that assumed represents average of age of life and citizen healthy in their life. Economic sector (Proper Life Standard), the profile uses the average of the real per capita expenditure which is adjusted (adjusted real per capita expenditure) or purchasing power parity. Based on study of the three of human development index, can be obtained the data concerning the factual picture of local government profile in utilizing demographic bonus.

scholarly journals Improving Human Development Index (HDI) by Illiteracy Eradication (Case Study in Cibadak Village)

2019 ◽  
Vol 11 (1) ◽  
pp. 29-42
Author(s):  
Indri Arrafi Juliannisa ◽  
Tri Siswantini
Keyword(s):  
Local Government ◽  
Human Development ◽  
Purchasing Power Parity ◽  
Human Development Index ◽  
Development Program ◽  
Three Dimensions ◽  
Power Parity ◽  
United Nations Development Program ◽  
Development Index ◽  
Life Expectancy At Birth

To measure the quality of human capital, The United Nations Development Program (UNDP) introduced the concept of human resource capital quality, named the Human Development Index (HDI). HDI is based on three dimensions i.e.: life expectancy at birth, literacy rate, mean years of schooling, and purchasing power parity. In this study raised the issue of the high illiteracy rate in Cibadak, Banten Province and the low expectation for old school. The situation will certainly be a barrier to the development process and economic growth through the human development index. The results showed that factors that could cause low educational status and illiteracy were grouped by researchers in research indicator variables, namely education, family, external environment, and information factors. The local government must pay more attention to this situation, because human resources are the driving wheel of the economy. The people really need care like reading and writing training assistance from the local government.

Evaluation of socio-economic development of voivodships using HDI

2018 ◽  
Vol 63 (3) ◽  
pp. 40-49 ◽  
Author(s):  
Marta Hozer-Koćmiel
Keyword(s):  
Economic Development ◽  
Life Expectancy ◽  
Purchasing Power Parity ◽  
Human Development Index ◽  
Gdp Per Capita ◽  
Power Parity ◽  
Life Expectancy At Birth ◽  
Socio Economic Development ◽  
Per Capita ◽  
Simultaneous Growth

The aim of this article is to examine the level of socio-economic development of voivodships using HDI (Human Development Index), which considers life expectancy at birth, number of years of schooling and GDP per capita in purchasing power parity. The hypothesis about the increase in the level of voivodships development with simultaneous growth of differences between them was formulated. Statistics Poland’s data for the years 1995, 2010, 2013 and 2015 were used in the research. The research showed that HDI was growing systematically for all voivodships in the years 1995-2015 and confirmed the deepening diversification of voivodships in terms of socio-economic development. The most developed were such voivodships as: Mazowieckie, Małopolskie, Wielkopolskie and Dolnośląskie, whereas, the least developed ones were: Lubuskie, Warmińsko-Mazurskie, Podkarpackie and Świętokrzyskie.

scholarly journals Culture and social change: macroanalysis relationship

2017 ◽  
pp. 182-186
Author(s):  
A. E. Khrenov ◽  
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Social Change ◽  
Purchasing Power Parity ◽  
Gdp Per Capita ◽  
Research Culture ◽  
Power Parity ◽  
Development Indicators ◽  
Cultural Conditions ◽  
Per Capita

The author shows the main stages of the research culture infl uence social change. In the spotlight – cultural conditions for successful economic development. The infl uence of the main indicators of culture on economic development indicators (GDP per capita in purchasing power parity and the rate of economic growth).

scholarly journals Wage Level as One of the Most Important Indicators of the Quantitative Aspect of the Standard of Living of the Population and Selected Indicators of Economic Maturity in OECD Member Countries

2020 ◽  
Vol 31 (3) ◽  
pp. 334-344
Author(s):  
Diana Bílková
Keyword(s):  
Purchasing Power Parity ◽  
Tertiary Education ◽  
Labour Productivity ◽  
Oecd Countries ◽  
Gdp Per Capita ◽  
Quantitative Aspect ◽  
Purchasing Power ◽  
Average Wage ◽  
Power Parity ◽  
Per Capita

The present paper focuses on the comparison of wage levels across OECD countries, the research data coming from an official OECD website. The following eight variables are employed in this study – the average wage, minimum wage, GDP per capita, tertiary education attainment, employment ratio, trade unions, labour productivity and inflation rate. The average wage represents the main explained variable in regression and correlation analysis, the remaining seven variables being used as potential explanatory ones. In order to compare living standards in different countries, average and minimum wages as well as per capita GDP data were adjusted to relative purchasing power parity. The principal objective was to identify which explanatory variables statistically significantly affect the average wage. The analysis showed that only three of them – namely the employment ratio, GDP per capita and labour productivity – have a significant effect at a 5% statistical level. The regression hyperplane with a forward stepwise selection was applied. Nine clusters of OECD countries were created based on both all the eight variables and four of them selected in regression analysis (the average wage and three explanatory ones) with the aim to identify the countries that coexist in the same cluster. Ward's method and Euclidean distance are utilized in cluster analysis, the number of clusters being determined with the use of the Dunn index. The study also aims at the prediction of the average wage by 2022, which was made via exponential smoothing of time series. (The greatest purchasing power is reported by Luxembourg, Switzerland, Iceland, the U.S., the Netherlands, Denmark, Norway and Austria, the highest average wage growth rate by 2022 being expected in the Baltic and some other post-communist countries.)

scholarly journals Poverty in Pakistan: Increasing Incidence, Chronic Gender Preponderance, and the Plausibility of Grameen-type Intermediation

1999 ◽  
Vol 38 (4II) ◽  
pp. 873-894 ◽  
Author(s):  
Nabeel A. Goheer
Keyword(s):  
Economic Growth ◽  
Low Income ◽  
Purchasing Power Parity ◽  
Time Series Data ◽  
National Income ◽  
Series Data ◽  
Power Parity ◽  
Real Wages ◽  
Large Country ◽  
Per Capita

Pakistan is a large country with a population estimated at 130.580 million.1 The economy has a low-income of US$ 490 per capita, with an estimated Purchasing Power Parity (PPP) of US$ 2230.2 It has managed to achieve substantial economic growth in the past thirty years until the dawn of 1990s. The growth rate has averaged 6.8 percent, 4.8 percent and 6.5 percent in 1960s, 70s and 80s, respectively.3 Evidence from the National Income Accounts, Household Surveys and time series data on the real wages of unskilled workers shows that economic growth has contributed to reduce consumption poverty4 in Pakistan. The table placed as Appendix A at the end shows that GDP per capita has increased in real terms by about 63 percent between 1972-73 and 1990-91. Private consumption per capita also increased in real terms by about 36 percent. Despite the fact that the population has nearly doubled during the period, there have been gains in income and consumption in per capita terms.

scholarly journals Standard of living, quality of life and per capita GDP: a South African experience

2013 ◽  
Vol 11 (1) ◽  
pp. 882-889 ◽  
Author(s):  
Raphael Tabani Mpofu
Keyword(s):  
Quality Of Life ◽  
South Africa ◽  
Human Development ◽  
Government Spending ◽  
Government Expenditure ◽  
Standard Of Living ◽  
Role Of Government ◽  
Per Capita

This study looked at the phenomenon of the quality of life (QoL) as measured by the Human Development Index (HDI), which is a composite statistic used to rank countries by the level of “human development”. Measuring and determining what is QoL is not an easy task. In this study, using HDI as the yardstick for QoL, the concepts of standard of living and per capita income were examined closely in relation to the role of government in its public expenditure programmes and how these programmes in turn influenced QoL. This research question was seen as the key to addressing the phenomenon of QoL. In particular, the role of government expenditure on health and education seems to signify the commitment of a government in improving the HDI or QoL. Using data on government expenditure of South Africa for the period 1995 to 2011, the relationships amongst these variables were examined. The findings indicate that there seems to be a significant correlation between HDI and government spending on health and education as a percentage of GDP, but there seems to be of no significance to include the variable government spending on health and education as a percentage of total government spending. The findings tell us that between 1995 and 2011, government spending on education as a percentage of GDP has had a positive impact on HDI. However, government spending on health as a percentage of GDP has had a retarding effect as shown by the negative coefficient of variation. It then implies that for South Africa to realize the MDG goals and improve on the HDI, public spending on health as a percentage of GDP needs to be significantly increased.

scholarly journals Food Affordability and Economic Growth

TEM Journal ◽  
2020 ◽  
pp. 1571-1579
Author(s):  
Ruslan Mudrak ◽  
Volodymyr Lagodiienko ◽  
Nataliia Lagodiienko ◽  
Vitalii Rybchak
Keyword(s):  
Purchasing Power Parity ◽  
Functional Characteristic ◽  
Alcoholic Beverages ◽  
Power Parity ◽  
Per Capita Gdp ◽  
Food Expenditures ◽  
Per Capita ◽  
Food Affordability ◽  
Constant Prices

The conducted correlation-andregression analysis revealed a close inverse connection between the functional characteristic "share of the expenditures for food and non-alcoholic beverages in the structure of the total expenditures of the households" and the factorial characteristic "GDP per capita by purchasing power parity, at constant prices". The response of the share of food expenditures in the structure of the total expenditures of the households to per capita GDP growth corresponds to the law of diminishing returns. The pattern is manifested in the long-term period.

scholarly journals The Evolution of Economic Activity in the Rural Area of Region 2 South - East

2021 ◽  
Vol 95 ◽  
pp. 01007
Author(s):  
Daniela – Lavinia Balasan ◽  
Dragoş Horia Buhociu
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Economic Development ◽  
Economic Activity ◽  
Labour Force ◽  
Standard Of Living ◽  
Economic Growth Rate ◽  
Current State ◽  
Per Capita ◽  
The Impact

When we talk about economic development, we can refer to improve the standard of living and the prosperity of the population. This is due by increasing per capita income. In order to analyze economic activity, severe indicators must be studied, namely productivity, economic growth rate, labour force share, gross domestic product. In order to carry out as accurate an analysis as possible, it is required to discover the bottlenecks and problems that Region 2 South East makes and to develop a set of reservations and indications leading to the reduction and, why not, the removal of negative aspects. The main purpose of this work is to achieve a strategic plan by studying the current state and the impact of the economic system in recent times in all its forms, with a view to the development of the countryside of Region 2 South – East. I set out to create a website based on the advice of small rural entrepreneurs that evolves gathering information in realistically identifying all the strengths and concentrating them in the region’s potential innovation.

The effects of the economic crisis on income convergence in the European Union

2012 ◽  
Vol 62 (2) ◽  
pp. 161-182 ◽  
Author(s):  
Nenad Stanišić
Keyword(s):  
European Union ◽  
Economic Crisis ◽  
Purchasing Power Parity ◽  
Gdp Per Capita ◽  
The European Union ◽  
Income Convergence ◽  
Power Parity ◽  
Trade Theory ◽  
Per Capita

This paper evaluates income convergence in the European Union, between “old” (EU15) and “new” member states from Central and East Europe (CEE10), and among the countries within these two groups. The GDP per capita convergence should be expected according to the exogenous economic growth model and neoclassical trade theory. The presence of σ-convergence and both absolute and conditional β-convergence is tested for on a sample of 25 European Union countries (EU25). Results confirm the existence of β-convergence of GDP per capita at purchasing power parity among EU25, but not among EU15 and CEE10 countries. σ-convergence has been confirmed among EU25 and CEE10 countries, while GDP per capita has been diverging in the EU15 group of countries. Moreover, the results reveal that recent economic crisis has reversed long-term tendencies and led to income convergence within EU15 and divergence within CEE10. During the crisis, the income differences among the EU25 countries have increased, but the scope and duration of this effect has been limited and has not affected the long term convergence path. However, the obtained long term speed of convergence is significantly lower compared with the previous researches.

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