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Saturday, March 30, 2019

Causes of CO2 Emissions

Ca characters of CO2 EmissionsIntroductionSince the beginning of human civilization in the Early Stone Age or Paleolithic Era, humans started transforming inputs sedate from the nature into stinting outputs, i.e. goods and services using their primitive technology. Once economic outputs being realized the important thing to satisfy human needs, they forceful the transformation process, and later accelerated it adopting modern technology. The continuous effort towards achieving immense volume of economic outputs resulted in Industrial novelty in 1760. The Revolution started not only a impudent era of rapid economic growth but also attenuated the environmental quality, and more importantly it started transforming the world(a) economy from organic economy based on dig out power to inorganic economy based on fossil fuels (Kasman Duman, 2015 Ahmed, et al, 2016 a). tan fossil fuels release greenhouse gases (GHG) which scientific community undisputedly tell as the major cause of the worldwide warming (Ahmed, et al, 2016 a). A new-made study by NASA reveals that atmospheric carbon dioxide (CO2)- the major GHG has significantly convert magnitude since the Industrial Revolution (NASA, 2017).Enhancing economic growth was the main purpose of alone previous innovations regardless of their nature such as sophisticated machineries, new economic policies or financial development. Consequently, the global community has seen a solid growth in its economic development over the last a couple of(prenominal) decades (Al-Mulali, et al, 2015). Excessive economic growth requires transforming an enormous volume of stark(a) materials and increases the use of energy generated mostly from fossil fuels (Ahmed, et al, 2016 a). Excessive use of both raw materials and energy causes environmental pollution on one hand and reduces indwelling resource base on other hand (idem). Subsequently, long marge economic growth along with global warming and climate change becomes one o f the major concerns that countries around the world argon currently anticipating (Al-Mulali, et al, 2015 Ahmed, et al, 2016 a). The global concern over these issues has shifted the attention of inquiryers as well as polity makers from conventional economic development to sustainable development (Rehman, et al, 2012).Better appreciation about economy and environment is one of the preconditions to achieving sustainable development. Therefore, studying the kind between economic growth and environment quality has become the pore of seekes both in economics and environmental science over the in vogue(p) decade (Sharma, 2011). Many researches on the issue have been carried out and the resulting all-inclusive range of literature is now available (Al-Mulali, et al, 2015 Kasman Duman, 2015 Ahmed, et al, 2016 a). However, the findings are mostly nisi because of divers(prenominal) indicators used for environmental quality, along with different econometric techniques and different c ontrol unsettleds used in the studies (Rehman, et al, 2012 Ahmed, et al, 2016 a Ahmed, et al, 2016 b). Most of the studies suffer from omitted varying bias, and being completed using information collected from either a single country or a small group of countries or a region (Halicioglu, 2009 Sharma, 2011 Farhani, et al, 2013 Al-Mulali, et al, 2015 Farhani Ozturk, 2015). Consequently, it is difficult to generalize the results of a country or region for the rest of the world (Rehman, et al, 2012).An inclusive global based research on the relationship including important variables is necessary for two reasons it would reduce omitted variable bias and its findings would be appropriate at global level. Any research of this kind will assist policy makers working at global (e.g. IPCC) and regional level (e.g. EU). In our study, we become passionate to estimate the energising causal model for identifying the factors causing CO2 emissions in the long-run. The paper is nonionized as fol lows after a survey of existing literature, the research methods are introduced followed by data analysis and a discussion, and a conclusion.

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