أثر الانفتاح التجاري على انبعاثات غاز ثاني أكسيد الكربون : دراسة حالة الأردن = The Impact of Trade Openness on Carbon Dioxide Emissions CO2 : A Case Study on Jordan

2017 ◽  
Vol 4 (2) ◽  
pp. 135-150
Author(s):  
علي مصطفى العساف ◽  
طالب عوض وراد
Author(s):  
Murat Cetin ◽  
Fahri Seker ◽  
Hakan Cavlak

This chapter analyzes the impact of trade openness on environmental pollution in the newly industrialized countries that have focused on trade over the period 1971-2010 by using recently developed panel unit root, cointegration, and causality tests. The results indicate a cointegration relationship between the variables. The results also show that trade openness increases carbon dioxide emissions with the elasticity of 0.53 and there is a Granger causality running from trade openness to carbon dioxide emissions in the long run. These findings may provide some policy implications. Without taking into account impact of trade on pollutions, optimistic environmental Kuznets curve hypothesis would be invalid. Therefore, policymakers who decide on environment policies should pay attention to not only growth effects but also trade effects on pollutions. Future empirical analysis would expose the new evidences for governmental policies and environmental regulations to change these effects positively.


2019 ◽  
Vol 9 (4) ◽  
pp. 527-534
Author(s):  
A. Waheed ◽  
M. Tariq

This study attempts to explore the impact of renewable energy, nonrenewable energy, trade openness and urbanization on carbon dioxide emissions in the selected South Asian countries over the period 1990 to 2014. The study used Panel Fully Modified Ordinary Least Square (FMOLS) for analyzing the relationship between renewable energy, nonrenewable energy, trade openness, urbanization, and carbon dioxide emissions. The results from the FMOLS show that renewable energy is negatively associated with emissions, whereas nonrenewable energy is positively associated with CO2 emissions. Furthermore the empirical estimation revealed that the increase in trade openness increases CO2 emissions. Interestingly, urbanization decreases carbon dioxide emissions in our analysis of selected South Asian region. It implies that increasing the use of renewable energy is an effective policy to mitigate global warming in the South Asian region.


2016 ◽  
Vol 61 (3) ◽  
pp. 587-600
Author(s):  
Paweł Wrona ◽  
Józef Sułkowski ◽  
Zenon Różański ◽  
Grzegorz Pach

Abstract Greenhouse gas emissions are a common problem noticed in every mining area just after mine closures. However, there could be a significant local gas hazard for people with continuous (but variable) emission of these gases into the atmosphere. In the Upper Silesia area, there are 24 shafts left for water pumping purposes and gases can flow through them hydraulically. One of them – Gliwice II shaft – was selected for inspection. Carbon dioxide emission with no methane was detected here. Changes in emission and concentration of carbon dioxide around the shaft was the aim of research carried out. It was stated that a selected shaft can create two kinds of gas problems. The first relates to CO2 emission into the atmosphere. Possible emission of that gas during one minute was estimated at 5,11 kg CO2/min. The second problem refers to the local hazard at the surface. The emission was detected within a radius of 8m from the emission point at the level 1m above the ground. These kinds of matters should be subject to regular gas monitoring and reporting procedures.


2021 ◽  
Vol 13 (13) ◽  
pp. 7148
Author(s):  
Wenjie Zhang ◽  
Mingyong Hong ◽  
Juan Li ◽  
Fuhong Li

The implementation of green finance is a powerful measure to promote global carbon emissions reduction that has been highly valued by academic circles in recent years. However, the role of green credit in carbon emissions reduction in China is still lacking testing. Using a set of panel data including 30 provinces and cities, this study focused on the impact of green credit on carbon dioxide emissions in China from 2006 to 2016. The empirical results indicated that green credit has a significantly negative effect on carbon dioxide emissions intensity. Furthermore, after the mechanism examination, we found that the promotion impacts of green credit on industrial structure upgrading and technological innovation are two effective channels to help reduce carbon dioxide emissions. Heterogeneity analysis found that there are regional differences in the effect of green credit. In the western and northeastern regions, the effect of green credit is invalid. Quantile regression results implied that the greater the carbon emissions intensity, the better the effect of green credit. Finally, a further discussion revealed there exists a nonlinear correlation between green credit and carbon dioxide emissions intensity. These findings suggest that the core measures to promote carbon emission reduction in China are to continue to expand the scale of green credit, increase the technology R&D investment of enterprises, and to vigorously develop the tertiary industry.


2021 ◽  
Vol 5 (2) ◽  
pp. 22
Author(s):  
Chiara Binelli

Several important questions cannot be answered with the standard toolkit of causal inference since all subjects are treated for a given period and thus there is no control group. One example of this type of questions is the impact of carbon dioxide emissions on global warming. In this paper, we address this question using a machine learning method, which allows estimating causal impacts in settings when a randomized experiment is not feasible. We discuss the conditions under which this method can identify a causal impact, and we find that carbon dioxide emissions are responsible for an increase in average global temperature of about 0.3 degrees Celsius between 1961 and 2011. We offer two main contributions. First, we provide one additional application of Machine Learning to answer causal questions of policy relevance. Second, by applying a methodology that relies on few directly testable assumptions and is easy to replicate, we provide robust evidence of the man-made nature of global warming, which could reduce incentives to turn to biased sources of information that fuels climate change skepticism.


2021 ◽  
Vol 13 (11) ◽  
pp. 6304
Author(s):  
Raluca-Andreea Felseghi ◽  
Ioan Așchilean ◽  
Nicoleta Cobîrzan ◽  
Andrei Mircea Bolboacă ◽  
Maria Simona Raboaca

Alternative energy resources have a significant function in the performance and decarbonization of power engendering schemes in the building application domain. Additionally, “green buildings” play a special role in reducing energy consumption and minimizing CO2 emissions in the building sector. This research article analyzes the performance of alternative primary energy sources (sun and hydrogen) integrated into a hybrid photovoltaic panel/fuel cell system, and their optimal synergy to provide green energy for a green building. The study addresses the future hydrogen-based economy, which involves the supply of hydrogen as the fuel needed to provide fuel cell energy through a power distribution infrastructure. The objective of this research is to use fuel cells in this field and to investigate their use as a green building energy supply through a hybrid electricity generation system, which also uses photovoltaic panels to convert solar energy. The fuel cell hydrogen is supplied through a distribution network in which hydrogen production is outsourced and independent of the power generation system. The case study creates virtual operating conditions for this type of hybrid energy system and simulates its operation over a one-year period. The goal is to demonstrate the role and utility of fuel cells in virtual conditions by analyzing energy and economic performance indicators, as well as carbon dioxide emissions. The case study analyzes the optimal synergy between photovoltaic panels and fuel cells for the power supply of a green building. In the simulation, an optimally configured hybrid system supplies 100% of the energy to the green building while generating carbon dioxide emissions equal to 11.72% of the average value calculated for a conventional energy system providing similar energy to a standard residential building. Photovoltaic panels account for 32% of the required annual electricity production, and the fuel cells generate 68% of the total annual energy output of the system.


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