Purpose: The purpose of this study is to investigate the role of natural resources in economic growth by taking evidence from Pakistan. Design/methodology/approach: Total five variables are used in this study, i.e. GDP, population density, water renewable resources, deforestation and the emissions of CO2, based on time series data from 1972 to 2016. The annual data is collected from World Development Indicators, Food and Agriculture Organization and Pakistan Economic Survey. Vector error correction model technique is applied to find out the long-run results. Findings: Results depict that all variables have a negative and significant relationship over the long run at 5% level of significance. It is observed that 1% increase in population accordingly will degrade GDP by 0.334496%. Correspondingly, 1% increase of water renewable resources will degrade GDP by 0.450647%. Findings are aligning...

Purpose: The purpose of the study is to find out the impact of gold and oil prices on the stock market. Design/methodology/approach: This study uses the data on gold prices, stock exchange and oil prices for the period 1991–2016. This study applied descriptive statistics, augmented Dickey–Fuller test, correlation and autoregressive distributed lag test. Findings: The data analysis results showed that gold and oil prices have a significant impact on the stock market. Research limitations/implications: Following empirical evidence of this study, the authors recommend that investors should invest in gold because the main reason is that hike in inflation reduces the real value of money, and people seek to invest in alternative investment avenues like gold to preserve the value of their assets and earn additional returns. This suggests that investment in gold can be used as a tool to decl...

Purpose: The purpose of this study is to investigate the role of natural resources in economic growth by taking evidence from Pakistan. Design/methodology/approach: Total five variables are used in this study, i.e. GDP, population density, water renewable resources, deforestation and the emissions of CO2, based on time series data from 1972 to 2016. The annual data is collected from World Development Indicators, Food and Agriculture Organization and Pakistan Economic Survey. Vector error correction model technique is applied to find out the long-run results. Findings: Results depict that all variables have a negative and significant relationship over the long run at 5% level of significance. It is observed that 1% increase in population accordingly will degrade GDP by 0.334496%. Correspondingly, 1% increase of water renewable resources will degrade GDP by 0.450647%. Findings are aligning...

Purpose: The purpose of the study is to find out the impact of gold and oil prices on the stock market. Design/methodology/approach: This study uses the data on gold prices, stock exchange and oil prices for the period 1991–2016. This study applied descriptive statistics, augmented Dickey–Fuller test, correlation and autoregressive distributed lag test. Findings: The data analysis results showed that gold and oil prices have a significant impact on the stock market. Research limitations/implications: Following empirical evidence of this study, the authors recommend that investors should invest in gold because the main reason is that hike in inflation reduces the real value of money, and people seek to invest in alternative investment avenues like gold to preserve the value of their assets and earn additional returns. This suggests that investment in gold can be used as a tool to decl...