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This study has chosen top three economies of the world to explore the relationship between energy consumption and economic growth by using annual data from 1985-2020. The results of ARDL approach shows that energy has a positive and significant impact on the economic growth of USA, China and Japan. Japan is the largest beneficiary in the short run as well in the long run, followed by USA and China.

This study investigates the income elasticity of health in rural areas of Pakistan. It was conducted during 2019-20 to find out the responsiveness of health expenses proportionate to the earnings of rural people of the country. Multistage sampling technique was used for data collection from 180 respondents from two districts, i.e., Toba Tek Singh district from Punjab province and Tando Allahyar district from Sindh province. The respondents were categorized into three income groups – low, medium, and high – and were interviewed to find out that what portion of income of each group is being directly or indirectly on their health and wellness. The findings show that the low, medium, and high-income groups were spending about 17.7, 7.7 and 4.2 percent of their income on health and wellness, respectively. Further, it was observed that with the increase of income, the low income group will spend another 8.8 percent on health as compared to the medium, and high-income groups, who will lower the expenses on health by 0.6 and 0.09 percent, respectively. Due to large family size i.e., 9.7 persons per family, most of them were unable to fulfill the basic nutritional requirements in daily food. Moreover, in case of emergency, low-income group either uses home-made medicines (totkas) or pays visits to the unauthorized doctors called hakeem. While medium and high-income groups prefer to visit the private hospitals, due to insufficient healthcare facilities at the public hospitals.

This study aims to analyze the impact of different deriving forces like trade balance, capital, inflation rate, exchange rate and government fiscal measures on economic growth of Pakistan during the period 1977 to 2019. The empirical results are tested through ARDL co-integration method which indicates that capital, inflation rate, exchange rate and tax revenues have significant long term and short term relationship with economic growth.

This research aims to investigate the nexus between urbanization environmental degradation and economic growth in BRICS (Brazil, Russia, India, China, South Africa) economies. This relation is still under question. Some researcher shows positive affiliation of urbanization with economic growth and environmental degradation while some show negative. But truth is that urbanization environmental degradation and economic growth are correlated to each other. For the analysis, data is taken from the period 1990 to 2018. Two models are created the first model shows the urbanization nexus with economic growth and the second is showing the nexus of environmental degradation and economic growth. The GDP is the dependent variable in both model and independent variable are labor force participation rate, carbon dioxide emission, gross fixed capital formation, trade openness, exchange rate, school enrollment, real interest rate, urbanization growth, and poverty headcount. Annual data is collected from the world indicator file. To check the correlation between variables, panel co-integration analyses such as Pedroni co-integration test, and Kao residual co-integration tests are applied. Panel co-integration tests are employed on two models separately. Both FMOLS models estimated the relevance. A causality test is also applied. The concluding effect shows that in BRICS urbanization has a positive effect on economic growth and a negative effect of environmental degradation on economic growth. The current study base on the least considered variables panel cointegration test FMOLS technique is used.

Since the 1990s, developing countries shifted their trade policy from inward-oriented strategy to outward-oriented strategy because of the conditions imposed by international lending institutions for granting loans to developing countries. The current study aims to investigate the impact of trade liberalization on employment and wages within the 30 developing countries over the period 2000 to 2019. To investigate empirical connections between trade, employment and wages, reduced form equations of labor demand and wages have been devised. The study has applied Generalized Method of Moments estimation techniques to estimate labor demand and wage equations to tackle the problem of endogeneity. The empirical findings of the study predict that trade liberalization has significant adverse effect on both labor demand and wages. However, the magnitude of the influence of trade on both one is small. Similarly, wages, employment level, output and real exchange rate are affecting employment and wages significantly. While ILO ratifications are significant only when KOF trade globalization is used as measure of liberalization, and time trend is significant only when weighted tariff rate is used as a measure of liberalization. To craft a multilateral and effective policy development, both real output and workers’ skill should be the focus of economic managers of the developing economies to reap the benefits of trade liberalization.