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.

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 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.

This study reviews the growth strategies and their effect on the efficiency and productivity of the microfinance sector of Pakistan. The sector needs to have adopted intensive growth strategy instead of extensive strategies of wide expansion in term of physical infrastructure and human resources, which had increased the financial sustainability risks for the credit constrain institutions. The sixdimension model of outreach used in this study also shows that the sector does not achieve the targets set forth for these micro finance institutes with respect to its active borrowers’ outreach. The sector has mainly focused the big cities and urban areas whereas the poverty levels are higher in rural areas. The government has also shown its interest by launching two different types of loan schemes. Among the three different types of institution, the microfinance banks dominate the sector.

The current research investigates the mechanism that how new ventures growth is affected through entrepreneurial business ties. The study introduces multiple mediators to the model to clearly establish the link between business ties and new ventures growth. To test the hypotheses, data were collected from 325 new ventures operating in Pakistan from 2015 to 2017. We found a positive and significant relationship between business ties and new ventures growth. We also found that resource leveraging, resource bundling and resource acquisition fully mediates the stated relationship. Based on our findings we concluded that new ventures give more attention to resource leveraging and resources bundling as well in order to perform well. Managerial and theoretical implications are also discussed.

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.

his study is conducted to identify the direction of the relationship between working capital management (WCM) and firm performance of the non-financial sector of Pakistan from 2009 till 2018. This has also looked at the effect of restricted access to loan on the WCM- Profitability relationship. The findings confirmed that restricted loan accessibility impacts the WCM-Profitability relationship. The comparative analysis demonstrated that financially constrained firms are mostly non-family firms that are new, growing, smaller in size, face high risk, maintain high liquidity and tangibility ratios than non-constrained firms. Further, the working capital levels of financially constraint firms is lower because of high operating expenses and greater capital rationing. Managers and scholars may use these findings for the administration of their working capital policies in order to avoid the financial cost and create more opportunities for financial accessibility which is further beneficial for making informed investment decisions, yielding higher profits that contribute towards sustainable growth.

Pension funds pools’ investments have an impact on its growth. These investments can be either in equity stock, bonds, deposits, or in other miscellaneous assets that can generate different results with the involvement of some endogenous factors such as rate of return, inflation etc. To bring out the core investment factors determining pension fund growth, a stepwise regression technique was used on a dynamic panel data model. Moreover, to check the individual significance of the included variables in the model progressively, R2-change was observed. This study has found that the investment factors behave positively in high growth-oriented OECD economies and have a negative impact in low growth-oriented countries. Moreover, pension funds growth is slower due to market volatility in low-growth oriented economies. The study helps to know the utilization or investment factors that support the large asset-holding of financial-sector of OECD economies.

This paper intended to analyze key Macroeconomic factor’s effect on Pakistan’s economic development. The annual time-series data has been taken from 1980 to 2018 on External Debts, Foreign Direct investment. Consumer Price Index and Term of Trade. Variables stationarity is analyzed by ADF and Ng-Perron tests; afterwards, JJ test and Granger Causality test are used for Long-run (LR) & Short-run(SR) associations between variables, respectively. Also, Residuals Diagnostic Test used for checking residuals assumptions and CUSUM and CUSUMSQ are used for checking parameter constancy. The result shows significantly negative and positive long-run effects of External Debts and Foreign Direct Investment (FDI) respectively on the economic growth of Pakistan. Albeit, Consumer Price Index (CPI), Term of Trade (TOT) and, FDI significantly Granger cause economic growth in the short-run. Research suggests that economic policies devised in such a way that deteriorates External Debts and attract foreign investments and strengthen the economic growth of Pakistan in the long-term.

The purpose of this study is to deal with dynamic interdependence between economic growth, economic structure, and residential distribution. It develops a spatial dynamic economic model on basis of microeconomic foundation. It integrates the economic mechanisms of the Solow one-sector growth model, the Alonso spatial residential model, and the Dixit-Stiglitz equilibrium model with imperfect market. We apply neoclassical economic growth of perfect competition to describe the growth determinant, the neoclassical urban residential model to determine residential location, and the basic model of new growth theory with imperfect market to take account of perfect and imperfect competition in spatial equilibrium structure. The basic economic mechanisms of the three approaches are integrated by using Zhang new approach to formally model household behavior. We determine the motion by simulation. Then we conduct comparative dynamic analysis to analyze how exogenous changes in different parameters affect residential distribution, economic growth, and economic structure. The study shows how changes in preferences and technologies affect economic growth, economic structure, land rent, and residential distribution.