scholarly journals The analysis of the relationship between CO2 level and economic growth

2021 ◽  
pp. 17-23
Author(s):  
Szira Zoltán ◽  
Bárdos Kinga Ilona ◽  
Alghamdi Hani ◽  
Enkhjav Tumentsetseg ◽  
Erika Varga

2019 was Earth's second warmest year since 1850. In 2019 the global mean temperature was cooler than in 2016, but warmer than any other year explicitly measured. Consequently, 2016 is still the warmest year in historical observation history. Year-to-year rankings are likely to reflect natural fluctuations in the short term, but the overall pattern remains consistent with a long-term global warming trend. This would be predicted from global warming caused by greenhouse gases, temperature increase across the globe is broadly spread, impacting almost all areas of land and oceans. Climate change" and "global warming" are often used interchangeably but are of distinct significance. Global warming is the long-term heating of the Earth's climate system observed since the pre-industrial period as a result of human activities, mainly the combustion of fossil fuel, which raises the heat-trapping greenhouse gas levels in the Earth's air. The term is often used interchangeably with the term climate change, as the latter applies to warming caused both humanly and naturally, and the impact it has on our planet. This is most generally calculated as the average increase in global surface temperature on Earth. Carbon dioxide emission is one of the main reasons for global warming. Since the Industrial Revolution, human sources of carbon dioxide emissions have been growing. Human activities such as the burning of oil, coal and gas, as well as deforestation are the primary cause of the increased carbon dioxide concentrations in the atmosphere. In our research, let’s examine the relationship between the amount of carbon dioxide emissions and the GDP/capita in developed and developing countries.

Author(s):  
Panji Tirta Nirwana Putra ◽  
Lilis Yuliati ◽  
Endah Kurnia Lestari

Climate change is a phenomenon of environmental damage due to the increased intensity of carbon dioxide emissions in the atmosphere, which causes the surface temperature of the earth. The carbon dioxide emission is a form of environmental degradation caused by economic activities. This study analyzed the relationship of macroeconomic variables and the carbon dioxide emission in each of the four ASEAN countries (Indonesia, Malaysia, the Philippines, and Thailand). The used of macroeconomic variables (GDP, trade openness, energy consumption, and the exchange rate) is shown to explain the carbon dioxide emission. In this study, Vector Auto regression Exogenous (VARX) method is used to analyze the impact of economic activities on the movement of carbon dioxide emissions. The data used time series with a vulnerable time of the year 1981-2013. The estimation results from these studies show that the GDP variable has the greatest contribution to the dynamics of carbon dioxide emissions in each ASEAN 4 countries. This empirical finding suggests that economic activity has an influence on the growth of carbon dioxide emissions.


Author(s):  
Anthony Sclafani

In January 2008 the Governor of Hawaii announced the Hawaii Clean Energy Initiative; an initiative that aims to have at least 70 percent of Hawaii’s power come from clean energy by 2030 [4]. In July 2009, the Hawaii Department of Accounting and General Services awarded NORESCO, an energy service company, a $33.9M contract to improve the energy efficiency of 10 government buildings. The avoided utility cost of the energy and water savings from the improvements is the project funding mechanism. The energy savings realized by the project will reduce carbon dioxide emissions associated with utility power generation. However, as renewable energy becomes a larger portion of the utility generation profile through the Hawaii Clean Energy Initiative, the carbon dioxide emissions reductions from specific energy efficiency measures may erode over time. This work presents a method of analysis to quantify the carbon dioxide emissions reduction over the life of a project generated by energy efficiency upgrades that accounts for both the impact of policy initiatives and climate change using DOE-2/eQUEST. The analysis is based on the fact that HVAC energy usage will vary with climate changes and that carbon dioxide emission reductions will vary with both energy savings and the corresponding utility’s power generation portfolio. The energy savings related to HVAC system energy efficiency improvements are calculated over the life of a 20 year performance contract using a calibrated DOE-2/eQUEST model of an existing building that utilizes weather data adjusted to match the predictions of the Intergovernmental Panel on Climate Change. The carbon dioxide emissions reductions are calculated using the energy savings results and a projection of the implementation of the Hawaii Clean Energy Initiative. The emissions reductions are compared with other analysis methods and discussed to establish more refined expectations of the impact of energy efficiency projects in context with climate changes and policy initiatives.


This paper is focused on the relationship between ozone depletion and environmental climate change. Ozone (O3) depletion and global warming are not directly related to each other but have a common reason as pollutants released into the atmosphere by human activities which alter both phenomenal change. Global warming is incident of accumulation of higher level of carbon dioxide into the atmosphere when hydrocarbons are used to generate electricity to run vehicles. Carbon dioxide spreads around the earth like a cover which is mainly responsible for the absorption of infrared radiation as a heat. Ozone depletion occurs when chlorofluorocarbons (CFCs) and halon (halogen) gases are observed in aerosol. Practically, spray cans and refrigerants are the sources of CFCs. Ozone is available in the stratosphere and absorbs ultraviolet radiaton, which is very harmful to humans, animals and plants. By photochemical reaction ozone molecules are broken down by CFCs and halons, which are the primary substances in the chemical reactions, reducing ozone’s ultraviolet radiation-absorbing capacity.


2021 ◽  
Vol 2 (4) ◽  
pp. 1-1
Author(s):  
Thomas Frei ◽  

Climate change has a major impact on nature and influences ecological systems. The increase in the CO2-concentration in the atmosphere is a major driver of global warming. This study showed that global warming has a major impact on the release of pollen, and hence, on the people suffering from allergies in Switzerland. Basel is a station where long-term pollen observation is conducted, and the data was used to investigate the change during the last 52 years. There are stations throughout the world to measure the atmospheric CO2 concentration. Data from these stations showed an increase in temperature, which influences the biosphere. We found that the flowering time of Hazel, Birch, and Grass pollen has shifted forward in the corresponding season, inducing hay fever early in spring. Earlier pollen release is strongly correlated with and caused by an increase in temperature. This study showed the relationship between increasing CO2-concentration in the atmosphere, the increasing air temperature followed by increasing and earlier pollen counts, and finally, increasing prevalence of pollinosis over half a century.


Author(s):  
Zoltán Szira ◽  
Bárdos Kinga Ilona ◽  
Hani Alghamdi ◽  
Tumentsetseg Enkhjav ◽  
Erika Varga

2019 was Earth's second warmest year since 1850. In 2019 the global mean temperature was cooler than in 2016, but warmer than any other year explicitly measured. Consequently, 2016 is still the warmest year in historical observation history. Year-to-year rankings are likely to reflect natural fluctuations in the short term, but the overall pattern remains consistent with a long-term global warming trend. This would be predicted from global warming, caused by greenhouse gases, temperature increase across the globe is broadly spread, impacting almost all areas of land and oceans. “Climate change" and "global warming" are often used interchangeably, but are of distinct significance. Global warming is the long-term heating of the Earth's climate system, observed since the pre-industrial period as a result of human activities, mainly the combustion of fossil fuel, which raises the heat-trapping greenhouse gas levels in the Earth's air. The term is often used interchangeably with the term climate change, as the latter applies to warming, caused both humanly and naturally, and the impact it has on our planet. This is most generally calculated as the average increase in global surface temperature on Earth. In our research, we examine the relationship between the regulation of carbon emissions and the GDP / capita relationship between developed and developing countries. We assumed applying carbon abatement policies will reduce economic growth and GDP in developed countries, but it will rise economic growth and GDP in developing countries.


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.


2020 ◽  
Vol 2 (4) ◽  
pp. 492-512
Author(s):  
Simon P. Philbin

Carbon capture and utilization (CCU) is the process of capturing unwanted carbon dioxide (CO2) and utilizing for further use. CCU offers significant potential as part of a sustainable circular economy solution to help mitigate the impact of climate change resulting from the burning of hydrocarbons and alongside adoption of other renewable energy technologies. However, implementation of CCU technologies faces a number of challenges, including identifying optimal pathways, technology maturity, economic viability, environmental considerations as well as regulatory and public perception issues. Consequently, this research study provides a critical analysis and evaluation of the technology pathways for CCU in order to explore the potential from a circular economy perspective of this emerging area of clean technology. This includes a bibliographic study on CCU, evaluation of carbon utilization processes, trend estimation of CO2 usage as well as evaluation of methane and methanol production. A value chain analysis is provided to support the development of CCU technologies. The research study aims to inform policy-makers engaged in developing strategies to mitigate climate change through reduced carbon dioxide emission levels and improve our understanding of the circular economy considerations of CCU in regard to production of alternative products. The study will also be of use to researchers concerned with pursuing empirical investigations of this important area of sustainability.


2008 ◽  
Vol 12 (1) ◽  
pp. 239-255 ◽  
Author(s):  
E. McBean ◽  
H. Motiee

Abstract. In the threshold of the appearance of global warming from theory to reality, extensive research has focused on predicting the impact of potential climate change on water resources using results from Global Circulation Models (GCMs). This research carries this further by statistical analyses of long term meteorological and hydrological data. Seventy years of historical trends in precipitation, temperature, and streamflows in the Great Lakes of North America are developed using long term regression analyses and Mann-Kendall statistics. The results generated by the two statistical procedures are in agreement and demonstrate that many of these variables are experiencing statistically significant increases over a seven-decade period. The trend lines of streamflows in the three rivers of St. Clair, Niagara and St. Lawrence, and precipitation levels over four of the five Great Lakes, show statistically significant increases in flows and precipitation. Further, precipitation rates as predicted using fitted regression lines are compared with scenarios from GCMs and demonstrate similar forecast predictions for Lake Superior. Trend projections from historical data are higher than GCM predictions for Lakes Michigan/Huron. Significant variability in predictions, as developed from alternative GCMs, is noted. Given the general agreement as derived from very different procedures, predictions extrapolated from historical trends and from GCMs, there is evidence that hydrologic changes particularly for the precipitation in the Great Lakes Basin may be demonstrating influences arising from global warming and climate change.


Author(s):  
Jarod C. Kelly ◽  
Deepak Sivaraman ◽  
Gregory A. Keoleian

Many studies that examine the impact of renewable energy installations on avoided carbon-dioxide utilize national, regional or state averages to determine the predicted carbon-dioxide offset. The approach of this computational study was to implement a dispatching strategy in order to determine precisely which electrical facilities would be avoided due to the installation of renewable energy technologies. This study focused on a single geographic location for renewable technology installation, San Antonio, Texas. The results indicate an important difference between calculating avoided carbon-dioxide when using simple average rates of carbon-dioxide emissions and a dispatching strategy that accounts for the specific electrical plants used to meet electrical demands. The avoided carbon-dioxide due to renewable energy technologies is overestimated when using national, regional and state averages. This occurs because these averages include the carbon-dioxide emission factors of electrical generating assets that are not likely to be displaced by the renewable technology installation. The study also provides a comparison of two specific renewable energy technologies: photovoltaics (PV) and wind turbines. The results suggest that investment in PV is more cost effective for the San Antonio location. While the results are only applicable to this location, the methodology is useful for evaluating renewable technologies at any location.


1999 ◽  
Vol 26 (3) ◽  
pp. 166-168 ◽  
Author(s):  
TIM NEWCOMB

Many nations have recognized the need to reduce the emissions of greenhouse gases (GHGs). The scientific assessments of climate change of the Intergovernmental Panel on Climate Change (IPCC) support the need to reduce GHG emissions. The 1997 Kyoto Protocol to the 1992 Convention on Climate Change (UNTS 30822) has now been signed by more than 65 countries, although that Protocol has not yet entered into force. Some 14 of the industrialized countries listed in the Protocol face reductions in carbon dioxide emissions of more than 10% compared to projected 1997 carbon dioxide emissions (Najam & Page 1998).


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