Environmental quality has become a growing concern for Chinese society since the last 2 decades in China. The large contribution of different pollutants severely affected the environmental quality that untimely affects life expectancy in the country. In this backdrop, the present study investigates the impact of environmental quality and public spending on the environment for life expectancy in China using the period 1999Q1-2017Q4. We employ nonlinear autoregressive distributed lag model (ARDL) approach for the empirical assessment. The outcomes of the study reveal the existence of a long-run relationship between environmental quality, public spending on the environment and life expectancy in China. The empirical finding reported that life expectancy reacts differently in response to positive and negative shocks of environmental quality both in the long-and short-run. Environmental quality and spending on the environment increase the life expectancy, furthermore, population has a positive and significant association with life expectancy only in short run while in long run it does not affect. Hence, the government needs to roll out policies to enhance environmental quality and ensure adequate funding for environmental preservation, to achieve both longevity of society and sustainability of the ecosystem .

The purpose of this study is to investigate the determinants of the capital structure of firms operating in a developing economy, Pakistan. The quantile regression method is applied on a sample of 183 non-financial companies listed on the Pakistan Stock Exchange during the period of 2008-2017. Specifically, the empirical analysis focuses on changes in the coefficients of the determinants according to the leverage ratio quantiles of the examined listed firms. The findings show that the capital structure of Pakistan listed firms differs between firms in different quantiles of leverage. These differences are significant with the sign of explanatory variables changes with the level of leverage. The research result found tangibility, profitability and age to be positively related to leverage among listed firms in Pakistan. However, size, liquidity and non-debt tax shield (NDTS) are negatively related to leverage. A firm's growth and risk are found to be insignificant predictors of capital structure in Pakistan listed firms. Moreover, the study also found a significant impact of industry characteristic on leverage. The findings of this study indicate that an individual firm's finance policy needs to be responsive to the firm's characteristics and should match with the different borrowing requirements of listed firms.

In trying to explain the relationship between exchange rate and demand for money researchers have applied different models. In this paper, we applied both the linear and nonlinear ARDL to check the effects of exchange rate changes on the demand for money (M1 and M2) in The Gambia. The result revealed that the demand for money is cointegrated with its determinants and have a stable short-run relationship. It also revealed that exchange rate changes have only short-run asymmetric effects on demand for money (M1 or M2) but don’t have long-run effects.