The present study is an effort to explore the important factors that contributes to the women empowerment in Pakistan, with an obtained the objective this study classifies the women empowerment into economic and social empowerment. For this purpose, the data is collected from the Pakistan Demographic Health Survey (PDHS) for the year 2017-18. The sample of the study is 10,935 married women and the current research utilizes multiple regression analysis for empirical analysis. The results of the regression analysis show that women education, women occupation, wealth index and men occupation have a positive and statistically significant effect on women empowerment, whereas women age and residence have a positive and insignificant effect on women social and economic empowerment. From the result, we found that educated and self-reliant working women are more empowered, and she can play important role in decision making process vis-à-vis to support household level. In sum, women participation in a decision at household is important, as women can smoothly manage domestic chores more confidently.

The purpose of this research is to explore the association among energy, environment and economic growth in Latin-American countries from 1990-2014 by using multivariate Structure. This study used number of co-integration techniques to confirm log run relationship among environment, and energy. The study findings also show the effect of the energy on environment in the long run by using FMOLS and DOLS. In addition, this research also employed the causality test to study the causal relation among the variables. The outcomes of the various tests of co-integration endorse a longrun relationship among renewable energy (REN) and non-renewable (NREN) consumption and environment. The long run results show that the use of renewable energy source can reduce the CO 2 emissions in selected countries. Moreover, the non-renewable energy consumption is increasing CO 2 emissions. In addition, the direction of the causality is unidirectional from REN to CO 2 , NREN to CO 2 and GDP to CO 2 . However, there is absence of two-way causality among the variables in the model.

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Cloud computing is a concept that provides services on demand and follows pay-asyou-use

The objective of the research is to re-examine the influences of population density, energy consumption on CO 2 emission in Pakistan. In addition, the effect of the growth and trade is also discovered in the study using Fully Modified Least Square (FMOLS) method from 1990 to 2014. Further, robust analysis is carried by utilizing Dynamic Ordinary Least Square (DOLS) method. Initially, unit root test is tested by Augmented Dicky Fuller test and Phillips-Perron (PP) test, and long run relationship is studied by Johansen Cointegration test. The outcomes of the research show the influential contribution of population density, energy consumption on environmental decay in Pakistan. Likewise, the other elements, which plays significant role in pollution, are growth and trade. The results of the robustness check also endorse population density and energy consumption are contributing CO 2 emission in Pakistan. Therefore, the study recommends that population control should be the target of the government and limit and introduce environmentally friendly sources of energy.