Education, Poverty, and Unemployment: A Way Forward to Promote Sustainable Economic Growth in Pakistan

Research at hand used a generalized method of moments (GMM) to examine the relationship between economic growth, education, poverty, and unemployment in Pakistan. The study has looked at four different ways to analyzed and compared them with the growth path of Pakistan for the period under study 1990-2020 by providing the integrated approach. This research concluded that education hasan impact on unemployment and poverty, and all have an impact on economic growth in the long run. It shows that there isa fundamentalassociation betweenthe gross domestic product (GDP) and poverty (POV) and amongEducation enrollment. The findings of the research confirmed the positive effect of Education, Trade on economic growth, and unemployment have a negative influence on determining economic growth. This study is of particular concentration topolicymakers as it helps to formulate comprehensive economic policies to support economic development

LEARNING AND EARNING:EXPLORING THE ECONOMIC BENEFITS OF DIFFERENT LEVELS OF EDUCATION IN PAKISTAN

This paper inspects the role of educational achievement, both on an aggregate and disaggregated level on economic growth in Pakistan. Diversity in literacy rates will produce different outcomes. As many individuals with higher education get higher returns from their education level. Investment in education produces skilled and efficient manpower making it approachable for any country to achieve economic objectives i.e. sustainable economic growth and development. Data for the empirical analysis has been taken from 1976-2020 on annual basis. Auto-Regressive Distributed Lag (ARDL) Approach to Cointegration was applied for the analysis and it was concluded that middle and higher education levels produce a higher return to the economy as a whole. So, the investment must be made to enhance the overall economic gains

Time and frequency domain causality Testing: The causal linkages Revisited betweenFiscal Policy and Economic Growth in Pakistan

Research on the impact of fiscal policy is a dire need in today’s economic world. In this investigation, fiscal policy effectson economic growth have been explored.In this analysis,the researcher examined the relationships using the secondary data source for the 1972-2019 data series by employing Auto-Regressive Distributed Lagged Model (ARDL) and frequency domain causality Testing to investigate the causal linkages between Fiscal Policy and Economic Growth in Pakistan. The variables have been used as the budget deficit and economic growth as the core variables of theresearch and concluded the negative association between the fiscal policy (budget Deficit) and economic growth

Foreign Direct Investment and Sustainable Long Run Economic Growth Nexus: A Case Study of Pakistan

The present study examined the relationship between economic growth and FDI in Pakistan by utilizing the data for the time period 1975-2015. The study employed a number of statistical and econometric tools for the analysis. ADF test for stationarity of data, and ARDL approach to cointegration is used for parameter estimations. The study includes GDP growth rate, foreign direct investment, trade openness, inflation and labour force as the variables of the study. The results indicated that the association between FDI and GDP growth is negative, for Pakistan, in the long run, while the results illustrated the positive association among variables in short run. Trade openness enhances GDP growth both in the long and short run, the result also revealed

The Foreign Remittances, Long Term Sustainable Economic Growth Nexus in Pakistan: An Empirical Analysis Using Bound Testing Approach

Remittances are considered vital for the progress of any economy.  These are the finances that are sent by the immigrants and assist the nations to achieve their basic needs and to boost the living standard.   This research focuses on the effectiveness of foreign remittances regarding inflation and economic growth. The data used for this study are taken for the period 1972-2018 as yearly based. To check the stationary of the data Augmented Dickey-Fuller (ADF) test is used and the methodological framework includes the Autoregressive Distributed Lag (ARDL) model that concluded that the study concludes that foreign remittances have an optimistic and momentous relation with the economic growth of Pakistan. Thus, it should emerge that remittances are a superior tool to address transient poverty which occurs due to the shocks whether at the domestic or general level rather than a structural scarcity

Journal of the Association for Information Science and Technology (JASIST): Bibliometric Analysis from 2014-2019

The parent study was conducted with an aim to determine the various bibliometric characteristics of the documents published in Journal of the Association for Information Science and Technology (JASIST) for 2014 to 2019. A retrospective study method was used and the data of JASIST were retrieved from Web of Science – Clarivate Analytics database. A total of 1,196 documents were found, contributed by the authors of 62 countries with average of 199 documents per annum. These documents received 11,941 citations with an average of 9.98 citations per documents. More than half of research were contributed by two countries, and amongst the top-10 most contributing organizations, six belonged to one country. The share of Asian countries has been recorded very low. JASIST has been providing excellent platform for dissemination of innovative ideas in the field of library and information Science since 1950

Employment Diversification Patterns in Pakistan: Empirical Assessment Revisited

Employment diversification depicts a dynamic socio-economic process where domestic workers widen the range of employment sources. Whereas, the prospect is usually based on a mix of Part-time and Full-time employment. Employment decisions significantly derive from the economic incentives such as wage differentials and the growth rates in different sub-sectors of economic activity. Research at hand summarizes and analyses Employment Diversification Patterns in Pakistan and the motives behind the labor shift. Time series data has been collected from various sources for 1990-2018. The Seemingly unrelated regression model has been applied for empirical estimations. The current analysis of employment pattern diversification concluded that part-time and full-time wages rates have a significant impact on the part and full-time employment in different sub-sectors of economic growth. Variation in wage rates in one sub-sector varies the employment level in different sectors. The estimates elaborated the significant rise in part-time employment these sub-sectors. Moreover, the dynamic interrelation between part-time and full-time employment is examined in the Agriculture, Construction, Electricity, Manufacturing, Wholesale and Retail Trade, Transport, Storage and Communication. These estimates show the quick adjustment of part-time employment within and across the sectors. Policies are needed to enhance labor mobility as one wants to diversify the employment one can do it to enhance the economic productivity

Pakistan's Growth Empirics and Foreign Direct Investment: An Assessment of the Role of Domestic Financial Sector

Purpose: This reseach endeavours to investigate the role of fiancial sector in determining the foreign direct inflows in pakistan. Design/Methodology/Approach: Autoregressive Distributed Lag Model is applied to conclude the nature of linear association among the variables, in this study, we have used time series data over the period 1980-2019 of Pakistan. A financial development index has been created to illustrate the financial development by using Principle Component Analysis (PCA). Robustness of the relation among variables is also checked, and incorporated this in the empirical model. Findings: The findings described very interesting implications, by exhibiting a positive association among FDI and economic growth in the presence of financial sector indicators. These conclusions hold notwithstanding in the presence or absence of Financial development Index. Therefore, the presence of strong financial sector is necessary to attract FDI and to smoothen the economic growth process.Implications/Originality/Value: The role of fiancial sector is indespensible in determining the economic activity. In addition to this, research at hand explore the inclusive nature of the relationships among foreign direct investment (FDI), Financial sector, and economic growth. It exhibits a reflection of the various sources of economic growth

Investigation of Energy Inflation Dynamics in Pakistan: Revisiting the Role of Structural Determinants

Enormous fluctuation has been observed in energy prices in recent years. This strong volatility in energy prices implies grave inferences for Pakistan’s economy as shown by its substantial dependence on imported fuels. In Pakistan, energy prices play a critical role in inflation determination also concluded in the study at hand. The index of energy inflation was constructed, and the role of various control variables such as board money, taxes, oil prices, energy import, and GDP has been elaborated. Current study endeavors to examine the determinants of energy inflation in Pakistan by using time-series data for 1991 to 2019. Unit root was tested by utilizing ADF, furthermore, the Bound test suggested ARDL cointegration for empirical analysis. Therefore, an increase in the demand for energy in economic activities in developing countries indicates an energy demand hence implies energy inflation. The government of Pakistan must focus on the role of these factors to control inflation and to enhance the welfare in the country

Structural Changes in Employment Diversification in Pakistan: Assessing the Role of Sectoral Employment Elasticities in Employment Generation

Employment growth (part-time and full-time) in Sub-sectors of economic activity is not only determined by the output growth in this sector but the time lag is also involved, in addition to this the wage elasticity of employment is also critical in determining employment diversification and labor mobility between sectors, varied widely in different sectors of the economy. This paper endeavors to illustrate the role of part-time and full-time employment elasticity among sectors along with employment diversification. Furthermore, the empirical analysis is carried out on time series data for 1990 to 2019. By utilizing Seemingly Unrelated regression and by estimating wage elasticity of employment with modified two factor Cobb-Douglas function for full time and part-time employment, the results have been illustrated, by carefully considering the reliability, consistency, and accuracy of the findings, this study demonstrates an increased sectoral output tends to enhance employment in respective sectors. For the manufacturing sector and construction sector, both sectoral output and total output were found to have comparable responses that suggest employment for both sectors tends to increase in line with the output. Therefore, the conclusions of the study establish that an effective way to enhance employment is to create flexibility in the wages as an efficient approach to enhance sectoral employment