Economic growth process is explained by many scientists in order to materialize a cherished objective of economic growth across the globe. In the current study, convergence among developed, developing and emerging countries has been estimated. Convergence process was estimated by employing sigma, beta and omega techniques. Analysis was done for three time periods i.e. from 1980 to 2018, from 1980 to 2000 and from 2001 to 2018. Sigma and beta analysis for the period from 1980 to 2000 showed divergence among countries however there are difference among developed, developing and economies Omega analysis showed divergence of developed countries and convergence among developing and emerging countries. Last analysis from 2001 to 2018 showed convergence among countries. The results are consistent with the adoption of information technology. Therefore, fast spillover effects of information technology help the countries in convergence process and make this world a global village.

China is emerging as an economic power of the world and correspondingly it has unleashed a strategy of its sustained economic growth alongside socioeconomic development of the region and beyond, through implementation of its envisaged grand Belt and Road Initiative (BRI). In this regard, Pakistanis accommodating China’s flagship project, China Pakistan Economic Corridor (CPEC). The success of CPEC hinges on the unhindered development and sustenance of Gwadar Port for assured uninterrupted sea - land linkage of CPEC. Besides supporting CPEC, Gwadar Port has gigantic potential to contribute towards Pakistan’s socioeconomic development and improving socioeconomic stature of landlocked Central Asian States. Geopolitics always play its role in all regional and international developments which embody clash of interest among stakeholder states and development of Gwadar Port is no exception. Alongside enormous prospects of payoffs, Gwadar Port encounters serious challenges to its development and sustenance, which have not been much deliberated in academic discourses. This paper, besides ascertaining the socioeconomic impacts of Gwadar Port on Pakistan, China, regional states and CPEC, identifies international repercussions and domestic challenges to Gwadar Port’s success; thus help the policy makers to draw pertinent conclusions.

This paper highlights the importance of energy in the determination of growth for economy of Pakistan. This study has been taken for the period of 1972-2015. Along with energy consumption some other important variables are also put into investigation. The Johansson co-integration estimation technique has been used to estimate the required impact. The results show that energy consumption contributed positively and significantly to long run economic growth. While the said impact is statistically insignificant in the short run, the study suggested on the basis of results that energy sources should be explored to boost which may possible to satisfy the energy need of the country and to get guaranteed economic growth in the long run. Therefore, Government should pay special attention toward the country’s energy sector to stabilize the economy which assures prosperity in the country.

Health and education are indispensable factors for economic growth. This study examines the role of health and education in economic growth for 76 middle income countries during 1991-2016, using fixed and random effect approaches. The empirical findings demonstrates that a progressive link among life expectancy and economic growth while inverse association exists between infant mortality and economic growth. The outcomes of FE and RE models stated that secondary and tertiary level education contribute to increase in economic growth. The results also shows capital's encouraging impact on growth, while the labor has negative influence to economic growth. The impact of life expectancy, infant mortality, enrollment in secondary and tertiary education on economic growth is stronger in upper middle income countries (UMIC) with comparison to lower middle income countries (LMIC). The study recommended that economies should focus on education and better health facilities towards betterment especially in lower income states.

This study aims to examine relationship of military expenditure and economic growth in different phases of military regimes in the context of Pakistan. This study uses two-state Markov switching models with Constant Transition Probability (CTP) and Time Varying Transition Probabilities (TVTP) for the time period: 1973-2014. This investigation analyses two sorts of relations between military expenditures and economic development through fixed transition probability Markov exchanging models. To begin with, there is negative connection between GDP growth and military expenditures during a high variance state (i.e. having low economic growth). Second, there is positive relation between both variables, during low variance state (i.e. having higher economic growth) which is also supported by idea of Keynesian income multiplier. Another, empirical test of time varying transition probability model was used to capture the switch through indicator variable. Results of the study suggest that chances of switching are increased from low to high economic growth. The chances of switching increase from lower to higher economic growth period (or high variance period) if non-military expenditure increases. The study concludes that military expenditure and economic growth are state dependent. If conditions of economy are stable then increase of expenditure results in positive outcomes, otherwise, it affects negatively. Empirical findings suggest that military spending should be planned in accordance to the economic performance of the country.

The facet of trauma as a constructive means is recent area of study in the field of Positive Psychology i.e, Posttraumatic growth. The present qualitative study is aimed to explore the process of PTG in the trauma victims of Pakistan. Total sample (N=40) having an equal number of participants i.e, manmade disaster (n=20, Male=10 & female=10) and natural disasters (n=20, Male=10 & female=10) was selected purposively. Interview protocol i.e, Semi-Structured Questionnaire was developed with the help of previous literature to go deep about the growth process in participants. The in-depth interviews were conducted on victims showing high Post-traumatic growth on PTGI. In-depth interviews were conducted, tape-recorded and transcribed. Themes were extracted out of bulk of the data through IPA to find out the process of PTG. Main themes were extracted and a Model of PTG was developed with the interaction of those themes.

This paper investigates the relationship between growth environment score and economic growth of N11 (Next eleven) countries over the period of 20 years that is; 1999-2018. A panel data regression, fixed effect model, random effect model and Hausman test are applied in our study.According to the Hausman specification test, the fixed-effect model is a suitable model for the study. Econometrics findings suggested that macroeconomic stability (external debt), macroeconomic conditions(investment) and human capital (education) have a significant impact on the economic growth of N11 countries. Our empirical findings provide insights on strategies that the countrywide government should enforce to enhance financial boom and improvement throughout the N11 countries.

This study investigates the role of inflation as a mediator between currency depreciation and economic growth in Pakistan from 1972 to 2016. Using the Ng-Parron unit root test, the stationarity of the variables is determined. The outcomes of Ng-Parron unit root tests indicate that all variables in the model exhibit mix-order integration. This paper also employs the Autoregressive Distributive Lag Model (ARDL) to evaluate the relationship between currency depreciation, inflation, and economic expansion. The results show very clearly that the inflation rate does not play a role in the link between currency depreciation and economic growth in the case of Pakistan.

This study looks into how the devaluation of the Pakistani currency affected remittances (REM) and economic growth (EG) in Pakistan. The study also looks at how REM affects the link between the devaluation of the currency and the growth of the economy in Pakistan Over the course of 45 years, from 1972 to 2016. The study uses Autoregressive Distributive Lag Model (ARDL) for examining the relationship. This study uses sensitivity analysis and chooses among different econometric techniques, which take into account the endogeneity problem. The results show that remittances partially mediate the relationship between the devaluation of currency and economic growth.Moreover, a one unit rise in REM leads to a 0.47 unit decrease in EG.

In an important way, this study investigates various aspects of community development and social support among participants in computer technology-enhanced distance education programs. The current analysis focuses on the characteristics that define communities and how students build and maintain them. Drawing on a series of interviews with 17 students, the study highlights the importance of community and its contribution to supporting them. This process is very important in developing a sense of community among students. Students derive satisfaction from the temporal intimacy of live lectures and the associated whisper facility for socializing in Web Relay Chat. They also exploited the near-simultaneous use of email and the timing of assignment submissions to subtly initiate email exchanges among themselves, as observed in the study. Overall, the interviews conducted in the study indicated that a strong sense of community benefits both individuals and programs, supporting educators' efforts to create such communities for online learners.