This study examines the relationship between CO2 emission, economic growth, population and energy consumption in Pakistan during period of 1975-2016. The study evaluates IPAT (Impact of CO2 x Population x Affluence x Technology) hypothesis where CO2 emission is influence by high population growth, economic growth, and technology. The study use ARDL bounds testing approach to estimate short and long run elasticities. The results confirm that population growth and energy demand both increase the CO2 emission, while the relationship between GDP and CO2 emissions is negative in Long-run, because the development of new low-carbon technologies enables a country to reach the same production level but at lower CO2 emissions, that improve the air quality indicator in a country. The results conclude that IPAT hypothesis is verified in Pakistan economy. Where population growth influenced the environmental quality, the government should have to control high mass population growth by increasing family planning expenditure in a country. The renewable energy resources are further policy implication that is desirable to reduced energy associated emission in a country.

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The objective of the study is to examine the relationship between money supply, price level and economic growth in the context of Pakistan by using Autoregressive Distributed Lag (ARDL) model, covered a period of 1980 to 2016. The results confirm the long-run relationship between the variables while using broad money supply as a response variable. However, in the price and income modeling, the variables do not support the cointegration relationship between the variables. The causality results confirmed the unidirectional relationship running from income to money supply, which implies that income do causes money supply in the short run, whereas money supply leads to inflation to support Monetarist view of inflation in a country. The results conclude that economic growth is imperative to stabilize money supply and price level through sound economic policies in a country.

This study examined the relationship between savings and investment in the G-7 countries for the period of 1970 to 2015. The stationary analysis of the data has been done by adopting the panel Levin, Lin & Chu, Breitung, Pesaran & Shin, ADF-Fisher & PP-Fisher criteria while the long run relationship has been tested by employing the Pedroni residual test of co-integration. The results neglected the existence of a long run correlation between saving and investment in G-7 countries. Further, joint causality between the savings and investment has also been tested using the fixed effect VAR model. Wald test explains that the two consecutive lags i.e. S (-1) and S (-2) of savings is jointly causing savings in the current year in the G7 countries. While the same two lags of investment i.e. I (-1) and I (-2) does not jointly granger cause savings in the G7 economies. The results are in line with Feldstein and Horioka (1980) that there is a stable and significant association between the increasing rates of savings and investment in the short run while this relationship weaken in the long run.