The Impact of Globalization on Human Development Index: A Case of Pakistan

The main objective of the study is to explore the short and long run relationship of globalization and human development index for 34 years during 1980 to 2014. In order to analyze economic, social and political dimensions of globalization separately for Pakistan economy. The time series data compiled from various sources including UNDP annual Human Development Reports, SPDC Social Development report, Pakistan Review 2005-06, World Bank and KOF. A semi-log model was used to explain the relationship, whereas some other models were also used to test the mobility of the variables. The test applied is ADF test and on the basis of ADF test results, the ARDL method of co integration was used to test long run impact of all independent variables on human development index. From the findings, we may conclude that globalization overall and social, political and economic globalization have positive impact on human development index for Pakistan, whereas some control variables like population density effects positively, and greenhouse gas emissions significantly and negatively affect the globalization. It is suggested that in order to improve the globalization, it is mandatory to focus on indirect effects of globalization and make necessary plans to reduce such emissions.

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Impact of human capital on economic growth: A case study of Pakistan

Journal of Social Sciences Advancement ◽

10.52223/jssa21-020202-15 ◽

2021 ◽

Vol 2 (2) ◽

pp. 64-69

Author(s):

Raheela Khatoon ◽

Iqbal Javed ◽

Muhammad Munawar Hayat

Keyword(s):

Economic Growth ◽

Human Capital ◽

Infant Mortality ◽

Human Development ◽

Human Development Index ◽

Time Series Data ◽

Infant Mortality Rate ◽

Series Data ◽

Development Index ◽

The Impact

A country is prosperous if it has efficient development programs. Human capital contains resources like education, health, training, skills etc. For economic progress these qualities are very vital. Basic objective of this research is to explain the impact of human capital on growth and development of economics sector of the Pakistan. Because today in the developing countries, human development and growth has becomes the burning issues. To analyse the association between human capital and economic growth, used GDP as a dependent variable. This study further use Human development index as independent variable. Proxy of human development index consist of education index, health, fertility, infant mortality, life expectancy and sanitation. Our focus will be more on the education. Time series data for the years 1990-2019 were used. ARDL model was used by incorporating the human capital formation with other explanatory variables. The findings shows that the human capital has positive and significant impact on growth and the negative influence on the population and infant mortality rate.

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Human Development Index, Poverty and Gross Regional Domestic Product: Evidence from Malang, Indonesia

Jurnal Pendidikan Ekonomi Dan Bisnis (JPEB) ◽

10.21009/jpeb.007.2.6 ◽

2019 ◽

Vol 7 (2) ◽

pp. 146-152

Author(s):

Dwi Wulandari ◽

Bagus Shandy Narmaditya ◽

Putra Hilmi Prayitno ◽

Suryati Ishak ◽

Lutfi Asnan

Keyword(s):

Human Development ◽

Human Development Index ◽

Time Series Data ◽

Negative Relationship ◽

Domestic Product ◽

Series Data ◽

Poverty Level ◽

Development Index ◽

Long Run ◽

The Relationship

This study aimed at analyzing the relationship between human development index, poverty level and gross regional domestic product in Malang Regency in Indonesia. This research was initiated by the poverty level which shows a moderate level in Malang Regency and how its impact on gross regional domestic product after the Development of Southern Cross Lane (JLS) in Malang. The study applied an explanatory research using time series data between 2014 and 2018. For the analysis, Vector Error Correction Model (VECM) was applied to understand the relationship between variables both in the short-term and in the long-term. The findings showed that in the short-run both variables have a negative correlation with gross regional domestic product. Meanwhile, in the long-run, human development index has a negative relationship to gross regional domestic product, whilst poverty variables positively affects gross regional domestic product.

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The Impact of Infrastructure on Tourism: The Case of Sri Lanka

Asian Social Science ◽

10.5539/ass.v15n7p174 ◽

2019 ◽

Vol 15 (7) ◽

pp. 174 ◽

Cited By ~ 1

Author(s):

A. M. M. Mustafa

Keyword(s):

Time Series ◽

Sri Lanka ◽

Time Series Data ◽

Positive Impact ◽

Series Data ◽

Long Run ◽

Short Run ◽

The Government ◽

The Impact ◽

Adf Test

This study examines the impact of infrastructure on tourism development in Sri Lanka with greater emphasis on road network. The time period used in this study are ranging from year 2005 to year 2017. The annual time series data are analyzed by using statistical package, E-Views 10 after the preliminary calculations by using Microsoft Excel. The unit root of the variables is tested by ADF test to test the stationarity of the time series data used in the model of this study. Co-integration is tested with the use of Engle–Granger. The relationship of causality between the variables is found by test of Granger Causality. The results show that infrastructure has significant short run as well long run positive impact on tourism. Two-way causal relationship is found between tourism sector and infrastructure. Further, this study recommends that the government should play its role in improving the infrastructure facilities to increase tourist’s arrival in Sri Lanka.

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THE EFFECT OF CAPITAL EXPENDITURE AND ECONOMIC GROWTH ON THE HUMAN DEVELOPMENT INDEX OF THE DISTRICT CITY IN NORTH SUMATERA

Advances in Social Sciences Research Journal ◽

10.14738/assrj.71.7741 ◽

2020 ◽

Vol 7 (1) ◽

pp. 585-594

Author(s):

Muammar Rinaldi ◽

Zainal Arifin ◽

Indra Maipita ◽

Saidun Hutasuhut

Keyword(s):

Economic Growth ◽

Human Development ◽

Human Development Index ◽

Time Series Data ◽

Capital Expenditure ◽

Numerical Data ◽

Series Data ◽

Development Index ◽

Analysis Technique ◽

North Sumatra

This study aims to analyze the effect of capital expenditure and economic growth simultaneously on the Human Development Index (HDI) in districts/cities in North Sumatra. This type of research is a descriptive-quantitative approach that suppresses its analysis of numerical data that is processed by the statistical method. Sources of data in this study were taken from the Central Bureau of Statistics of North Sumatra for the HDI data. The sample in this study is all districts/cities in North Sumatra for the period 2013-2017. The data analysis technique used in this study uses panel data regression with Eviews 7 because, in this study, there are characteristics of cross-section and time-series data simultaneously. The results of this study indicate that capital expenditure partially has a positive and significant effect on the Human Development Index in districts/cities in North Sumatra. Economic growth partially has a positive and significant effect on the HDI in districts/cities in North Sumatra, and capital expenditure and economic growth have a positive and significant effect simultaneously on the Human Development Index in districts/cities in North Sumatra.

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Analysis of Factors Affecting the Human Development Index in West Kalimantan Province using Data Panel Data Regression

Eksakta Jurnal Ilmu-Ilmu MIPA ◽

10.20885/eksakta.vol18.iss2.art2 ◽

2018 ◽

Vol 18 (2) ◽

pp. 97-105

Author(s):

Uray Hety Humaira ◽

Jaka Nugraha

Keyword(s):

Human Development ◽

Human Development Index ◽

Time Series Data ◽

National Level ◽

Fixed Effect Model ◽

Paper Analysis ◽

Series Data ◽

West Kalimantan ◽

Development Index ◽

Capita Expenditure

Development in the country is growing including in the West Borneo Province. However in 2015, the achievement of human development at the National level is quite low, while the District and City varied considerably. Human Development Index is one of the parameter for human development that are affected by many factors. In this paper, analysis for identify the factors for human development index in West Kalimantan Province by using Regression Analysis was conducted. Regression was based on time series data from 2012 until 2015. It is found that Fixed Effect Model is the best regression model with the R2 of 0.99853%. The influencing variables are Life Expectancy (AHH), Adjusted Per Capita (Expenditure), School Average (RLS), School Expectation (HLS), and Gross Regional Domestic Product at Constant Price (GRDP).

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Impact of Macro-Economic Variable on Pakistan Stock Exchange KSE-100 Index

The Journal of Management Theory and Practice (JMTP) ◽

10.37231/jmtp.2020.2.3.171 ◽

2021 ◽

Vol 2 (3) ◽

pp. 17-23

Author(s):

Muhammad Faisal Hassan ◽

Hashim Bin Jusoh ◽

Sajjad Khan ◽

Fahad Ali Khan ◽

Muhammad Naseem ◽

...

Keyword(s):

Exchange Rate ◽

Interest Rate ◽

Time Series Data ◽

Positive Impact ◽

Stock Exchange ◽

Ordinary Least Squares ◽

Series Data ◽

Short Run ◽

The Impact ◽

Adf Test

The researcher investigates the Impact of inflation, exchange rate and interest rate on Pakistan stock Exchange performance KSE-100 index by using monthly time series data which covers the period of 2013 to 2020. The econometrics techniques which are employed includes ADF test, Ordinary Least squares regression Model, testing for Multi-collinearity, Residual analysis serial correlation, testing for co-integration, Error correction model (ECM), variance decomposition (VAR) and Pair wise granger causality test. The results indicate that there is positive impact of exchange rate on PSX 100 index and the impact of inflation and interest rate is fond negative but inflation have insignificant relationship with PSX 100 index and the other two relationships are found significant. From the ECM result it is found that in short run 20% of the variation in dependent variable is due to inflation, exchange rate and interest rate and 80% variation is unexplained in short run. Form the results of VAR test it is concluded that exchange rate 1.67, inflation 14.25%, and interest rate 3.90% variation cause in PSX 100 index performance due to these three independent variables.

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The Impact of Macroeconomic variables on the credit provided by Saudi Banks: تأثير المتغيرات الاقتصادية الكلية على التمويل المصرفي في المملكة العربية السعودية (دراسة قياسية شملت البيانات من 1970م – 2012م)

المجلة العربية للعلوم ونشر الأبحاث مجلة العلوم الاقتصادية والإدارية والقانونية ◽

10.26389/ajsrp.e281118 ◽

2019 ◽

Vol 3 (3) ◽

Author(s):

Eyas Jafar Abdel Rahim

Keyword(s):

Banking Sector ◽

Time Series Data ◽

Positive Impact ◽

Government Expenditure ◽

Series Data ◽

Macroeconomic Variables ◽

Distributed Lag ◽

Bank Deposits ◽

Long Run ◽

The Impact

The study aimed to examine the impact of macroeconomic variables of the Saudi economy as in Gross Domestic Product (GDP), Government Expenditure (G), Economic Openness (OPE), Inflation Rate (CPI) and the Bank Deposits (DS) on the credit provided by Saudi banks (BF), on annual time series data between 1970-2012. To investigate this relationship, the study used Autoregressive Distributed Lag method (ARDL) to measure the long-run and short-run impact, At that the E-views 8.1 has been used for analyze the cointegration,the diagnostic, the reliability - stability tests, and the forecasting behavior of the model. The study found that (BF) is affected positively by (GDP) growth rate in the long-run. Also the (BF) has been affected negatively in the short and long-run by inflation rates (CPI) and government expenditure (G). Consequently the Contractionary Fiscal Policy in recent period will not lead to reduce the financial performance of Saudi banks, and the growth of (GDP) in the future will have positive impact on the financing capacity of the Saudi banking sector.

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The impact of economic growth on unemployment in South Africa: 1994 – 2012

Corporate Ownership and Control ◽

10.22495/cocv12i4c7p1 ◽

2015 ◽

Vol 12 (4) ◽

pp. 699-707

Author(s):

Handson Banda ◽

Ireen Choga

Keyword(s):

Economic Growth ◽

South Africa ◽

South African ◽

Time Series Data ◽

Positive Impact ◽

Labour Productivity ◽

Real Effective Exchange Rate ◽

Series Data ◽

Long Run ◽

The Impact

One of the most pressing problems facing the South African economy is unemployment, which has been erratic over the past few years. This study examined the impact of economic growth on unemployment, using quarterly time series data for South Africa for the period 1994 to 2012.Johansen Co-integration reflected that there is stable and one significant long run relationship between unemployment and the explanatory variables that is economic growth (GDP), budget deficit (BUG), real effective exchange rate (REER) and labour productivity (LP). The study utilized Vector Error Correction Model (VECM) to determine the effects of macroeconomic variables thus REER, LP, GDP and BUG on unemployment in South Africa. The results of VECM indicated that LP has a negative long run impact on unemployment whilst GDP, BUG and REER have positive impact. The study resulted in the following policy recommendation: South African government should re-direct its spending towards activities that directly and indirectly promote creation of employment and decent jobs; a conducive environment and flexible labour market policies or legislations without impediments to employment creation should be created; and lastly government should prioritise industries that promote labour intensive. All this will help in absorbing large pools of the unemployed population thereby reducing unemployment in South Africa.

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PENGARUH PENGELUARAN PEMERINTAH SEKTOR PENDIDIKAN, KESEHATAN DAN TPAK TERHADAP IPM DI INDONESIA

JURNAL EKONOMIKA INDONESIA ◽

10.29103/ekonomika.v9i1.3171 ◽

2020 ◽

Vol 9 (1) ◽

pp. 34

Author(s):

Ulfa Maulina ◽

Devi Andriyani

Keyword(s):

Human Development ◽

Government Spending ◽

Human Development Index ◽

Time Series Data ◽

Government Expenditure ◽

Health Sector ◽

Education Sector ◽

Series Data ◽

Labor Participation ◽

Development Index

This study aims to determine the effect of government spending of education sector, health and level of labor force participation on human development index in Indonesia. This study used time series data from 2005 to 2019. The method of data analysis uses multiple regression analysis. The results of partially show that government expenditure of education sector has a negative and significant effect on human development index in Indonesia, government spending of health sector has a positif and significant effect on human development index in Indonesia, and the level of labor participation has a positive but insignificant effect on human development index in Indonesia. Simultaneously, government spending of education sector, health, and level of labor participation have a positive and significant effect on the human development index in Indonesia.

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