Entity

Time filter

Source Type


Tang C.F.,University of Malaya | Shahbaz M.,COMSATS Institute of Information Technology | Shahbaz M.,College of Economy and Administration
Energy Policy | Year: 2013

This study uses the annual data from 1972 to 2010 to assess the causal relationship between electricity consumption and real output at the aggregate and sectoral levels in Pakistan. This study covers three main economic sectors in Pakistan namely agricultural, manufacturing and services sectors. Our cointegration results reveal that the variables are cointegrated at the aggregate and sectoral levels. At the aggregate level, we find that there is uni-directional Granger causality running from electricity consumption to real output in Pakistan. At the sectoral level, we find that electricity consumption Granger-causes real output in the manufacturing and services sectors. However, there is no causal relationship between electricity consumption and real output in the agricultural sector. The policy implication of these results is that electricity conservation policies in general would deteriorate the process of economic growth as well as the real output in the manufacturing and services sectors in Pakistan. Nevertheless, we suggest the Pakistani government to implement the electricity conservation policies merely to the agricultural sector because such policies may have less or no adverse impact on its real output. © 2013 Elsevier Ltd. Source


Shahbaz M.,COMSATS Institute of Information Technology | Ozturk I.,Cag University | Afza T.,COMSATS Institute of Information Technology | Ali A.,College of Economy and Administration
Renewable and Sustainable Energy Reviews | Year: 2013

The present study deals with an empirical investigation between CO 2 emissions, energy intensity, economic growth and globalization using annual data over the period of 1970-2010 for Turkish economy. We applied unit root test and cointegration approach in the presence of structural breaks. The direction of causality between the variables is investigated by applying the VECM Granger causality approach. Our results confirmed the existence of cointegration between the series. The empirical evidence reported that energy intensity and economic growth (globalization) increase (condense) CO2 emissions. The results also validated the presence of environmental Kuznets curve (EKC). The causality analysis shows bidirectional causality between economic growth and CO2 emissions. This implies that economic growth can be boosted at the cost of environment. © 2013 Elsevier Ltd. Source


Shahbaz M.,COMSATS Institute of Information Technology | Shahbaz M.,College of Economy and Administration | Sbia R.,Free University of Brussels | Hamdi H.,Financial Stability | Ozturk I.,Cag University
Ecological Indicators | Year: 2014

The present study explores the relationship between economic growth, electricity consumption, urbanization and environmental degradation in case of United Arab Emirates (UAE). The study covers the quarter frequency data over the period of 1975-2011. We have applied the ARDL bounds testing approach to examine the long run relationship between the variables in the presence of structural breaks. The VECM Granger causality is applied to investigate the direction of causal relationship between the variables. Our empirical exercise reported the existence of cointegration among the series. Further, we found an inverted U-shaped relationship between economic growth and CO2 emissions i.e. economic growth raises energy emissions initially and declines it after a threshold point of income per capita (EKC exists). Electricity consumption declines CO2 emissions. The relationship between urbanization and CO2 emissions is positive. Exports seem to improve the environmental quality by lowering CO2 emissions. The causality analysis validates the feedback effect between CO2 emissions and electricity consumption. Economic growth and urbanization Granger cause CO 2 emissions. © 2014 Elsevier Ltd. Source


Su D.,University of Texas-Pan American | Li L.,College of Economy and Administration
Journal of Health Care for the Poor and Underserved | Year: 2011

In this study we seek to assess recent trends in complementary and alternative medicine (CAM) use based on a comparative analysis of data from the 2002 and 2007 National Health Interview Survey (NHIS). The findings suggest that CAM use, in particular the use of provider-based CAM therapies such as chiropractic care, massage, and acupuncture, have grown significantly in the U.S. This growth was more pronounced among non-Hispanic Whites than among racial and ethnic minorities, increasing an already existing White-minority gap in CAM use. Findings from this study also reveal that CAM use becomes more likely when access to conventional care has been restricted. In both 2002 and 2007, having unmet needs in medical care or having delayed care due to cost were associated with a higher chance of CAM use. Copyright © 2011 Meharry Medical College. Source


Tang Z.,College of Economy and Administration | Chen X.,Central South University | Luo J.,Central South University
Environment and Behavior | Year: 2011

Despite many researches on household recycling behavior, little attention has been paid to socio-psychological determinants of rural household recycling behavior in mainland China and their effect levels. On the basis of the survey data from 756 respondents applying structural equation modeling, the final results show that concern for the community, and followed by self-efficacy, subjective norm, justification, moral norm, attitude toward recycling, situation factor, and knowledge of environmental harms of nonrecycling influence household recycling behavior most significantly. The effect of justification is negative and other effects are positive. The attitude is influenced positively by perceived usefulness. Comparisons with previous researches show two significant differences in effect level of each determinant and in rank orderings of determinants. Implications of the findings as well as study limitations are also discussed. © The Author(s) 2011. Source

Discover hidden collaborations