Impact of Human Activities on Carbon Dioxide (CO<Subscript>2</Subscript>) Emissions: A Statistical Analysis

Summary The balance of evidence suggests a perceptible human influence on global ecosystems. Human activities are affecting the global ecosystem, some directly and some indirectly. If researchers could clarify the extent to which specific human activities affect global ecosystems, they would be in a much better position to suggest strategies for mitigating against the worst disturbances. Sophisticated statistical analysis can help in interpreting the influence of specific human activities on global ecosystems more carefully. This study aims at identifying significant or influential human activities (i.e. factors) on CO₂ emissions using statistical analyses. The study was conducted for two cases: (i) developed countries and (ii) developing countries. In developed countries, this study identified three influential human activities for CO₂ emissions: (i) combustion of fossil fuels, (ii) population pressure on natural and terrestrial ecosystems, and (iii) land use change. In developing countries, the significant human activities causing an upsurge of CO₂ emissions are: (i) combustion of fossil fuels, (ii) terrestrial ecosystem strength and (iii) land use change. Among these factors, combustion of fossil fuels is the most influential human activity for CO₂ emissions both in developed and developing countries. Regression analysis based on the factor scores indicated that combustion of fossil fuels has significant positive influence on CO₂ emissions in both developed and developing countries. Terrestrial ecosystem strength has a significant negative influence on CO₂ emissions. Land use change and CO₂ emissions are positively related, although regression analysis showed that the influence of land use change on CO₂ emissions was still insignificant. It is anticipated, from the findings of this study, that CO₂ emissions can be reduced by reducing fossil-fuel consumption and switching to alternative energy sources, preserving exiting forests, planting trees on abandoned and degraded forest lands, or by planting trees by social/agroforestry on agricultural lands.     

Panel heterogeneous distribution analysis of trade and modernized agriculture on CO2 emissions: The role of renewable and fossil fuel energy consumption

In line with the global target of reducing climate change and its impact, this study explored the causal relationship between CO₂ emissions, modernized agriculture, trade openness, aggregate and disaggregate energy consumption in 14 African countries from 1990–2013 using a panel quantile estimation procedure. The empirical results showed that value addition to agricultural commodities declines CO₂ emissions in countries with high pollution levels. The study revealed a positive nexus between CO₂ emissions and energy consumption homogeneously distributed across quantiles. Trade openness was found to lower CO₂ emissions in countries with lower and higher levels of environmental pollution. While fossil fuel energy consumption was found to exacerbate CO₂ emissions, renewable energy consumption confirmed its mitigating effect on environmental pollution. The institution of climate‐smart agricultural options will sustainably increase productivity and income while adapting to climate change by reducing greenhouse gas emissions. Diversification of energy technologies with clean and modern energy sources like renewables avoid the over‐dependence on fossil fuels for agricultural purposes. Trade policies can stimulate flows of technology and investment opportunities for specialization in production and economies of scale. Hence, the consideration of policies that boost agricultural sector productivity and create an efficient market for international trade in Africa will help in improving livelihoods.     

A model for the CO2 capture potential

Global warming is a result of increasing anthropogenic CO₂ emissions, and the consequences will be dramatic climate changes if no action is taken. One of the main global challenges in the years to come is therefore to reduce the CO₂ emissions.Increasing energy efficiency and a transition to renewable energy as the major energy source can reduce CO₂ emissions, but such measures can only lead to significant emission reductions in the long-term. Carbon capture and storage (CCS) is a promising technological option for reducing CO₂ emissions on a shorter time scale.A model to calculate the CO₂ capture potential has been developed, and it is estimated that 25 billion tonnes CO₂ can be captured and stored within the EU by 2050. Globally, 236 billion tonnes CO₂ can be captured and stored by 2050. The calculations indicate that wide implementation of CCS can reduce CO₂ emissions by 54% in the EU and 33% globally in 2050 compared to emission levels today.Such a reduction in emissions is not sufficient to stabilize the climate. Therefore, the strategy to achieve the necessary CO₂ emissions reductions must be a combination of (1) increasing energy efficiency, (2) switching from fossil fuel to renewable energy sources, and (3) wide implementation of CCS.     

Disaggregated energy consumption,environment, and economic growth nexus of emerging South and East Asian Countries: An ARDL approach

This study examines the nexus between disaggregated energy consumption (EC), CO₂ emissions, and economic growth in emerging South and East Asian countries over the period of 1994 to 2019. The long-run equilibrium relationship is determined by using the “Autoregressive distributed lag (ARDL) model” and the “Generalized least square (GLS) technique.” The panel causality test developed by “Dumitrescu and Hurlin, 2012” determines the direction of causation between variables. Disaggregated EC and CO₂ emissions positively affect economic growth in the research. The PMG estimate also validates the GLS findings, which produce the same results as the PMG estimation. To check the robustness, we also use FMOLS and DOLS estimators. The results confirm the feedback hypothesis for South and East Asian nations regarding energy uses, CO₂ emissions, and economic growth. In contrast, there is unidirectional causality between industrial development and economic growth. These findings will help governments in South and East Asia craft effective energy policy regulations for their financial institutions.     

Global energy and emissions scenarios for effective climate change mitigation—Deterministic and stochastic scenarios with the TIAM model

The achievement possibilities of the EU 2 °C climate target have been assessed with the ETSAP TIAM global energy systems model. Cost-effective global and regional mitigation scenarios of carbon dioxide, methane, nitrous oxide and F-gases were calculated with alternative assumptions on emissions trading. In the mitigation scenarios, an 85% reduction in CO₂ emissions is needed from the baseline, and very significant changes in the energy system towards emission-free sources take place during this century. The largest new technology groups are carbon-capture and storage (CCS), nuclear power, wind power, advanced bioenergy technologies and energy efficiency measures. CCS technologies contributed a 5.5-Pg CO₂ annual emission reduction by 2050 and 12 Pg CO₂ reduction by 2100. Also large-scale forestation measures were found cost-efficient. Forestation measures reached their maximum impact of 7.7 Pg CO₂ annual emission reduction in 2080. The effects of uncertainties in the climate sensitivity have been analysed with stochastic scenarios.     

Energy technology modelling of major carbon abatement options

The International Energy Agency Energy Technologies Perspectives (ETP) model is used to assess the prospects for carbon abatement options, including carbon capture and storage, up to 2050. Three main scenarios are considered: a Baseline scenario with current energy policies, an accelerated technology scenario that seeks to return energy-related CO₂ emissions in 2050 to their level in 2005, and a scenario for which CO₂ emissions are reduced at 50% of current levels by 2050. To reach these emissions reduction targets, annual global CO₂ emissions in the year 2050 must be reduced by 35 GtCO₂ to 48 GtCO₂ compared to the Baseline scenario. The analysis presented here shows that a broad portfolio of emissions reducing technologies will need to be deployed across all economic sectors of the global economy to reach these targets. Carbon dioxide capture and storage (CCS) is one of the suite of technologies employed across the globe to reach these targets. CCS adoption occurs in many aspects of the global economy and accounts for 14–19% of all emissions reductions. The total amount of CO₂ captured and stored in deep geologic reservoirs up to 2050 ranges between 5.1 GtCO₂ and 10.4 GtCO₂ in these two climate policy scenarios. Up to 2030, more than half of total CCS deployment takes place in OECD countries. After 2035, emerging economies account for more than half of total CCS use. This paper also demonstrates that as the climate policy becomes more stringent it will be necessary for CCS to deploy more extensively in many different industries outside of the electric power sector which often receives the most attention in discussions of CCS's role in addressing climate change.     

Toward a green economy: The nexus between economic and environmental factors in MENA countries,ARDL bounds approach

With the transition of the global economy toward a green economy, it is important to analyze the elements that can either support or impede this transformation. Therefore, in this study, we aimed to evaluate the potential of the green economy in the Middle East and North Africa (MENA) countries by analyzing the correlation between economic and environmental factors. The objective of this study is to explore the potential of the green economy in MENA countries by analyzing key factors such as access to clean fuel, GDP, and CO₂ emissions. The study aims to distinguish between long- and short-term effects, assess the presence of a long-run relationship or co-integration between the parameter estimates, and evaluate the progress of MENA countries toward a green economy based on the impact of economic, and environmental factors. Using quarterly and seasonally adjusted data from 2000 to 2018, the auto-regressive distributed lag (ARDL) technique was employed to examine the co-integration of the factors in the long and short terms. Multiple cointegration techniques were also used to determine the feasibility of a green economy by analyzing the relationship between access to clean fuel for technology and cooking, GDP, and CO₂ emissions. The study's findings indicate a clear long- and short-term relationship between the analyzed factors, as confirmed by the error correction model (ECM) which suggests that the variables are cointegrated and potentially relevant. Additionally, the result of the autoregressive distributed lag bound test shows that the green economy variables, GDP, CO₂ emissions, and access to clean fuel, are cointegrated in the long-term.     

The decline of environmental degradation by renewable energy consumption in the MERCOSUR countries: an approach with ARDL modeling

The impact of consumption of renewable energy on CO₂ emissions was investigated, in five MERCOSUR’s countries from 1980 to 2014. The autoregressive distributed lag (ARDL) in the form of Unrestricted Error Correction Model to decompose the total effect of variables into it is the short- and long-run components. The results of preliminary tests showed the presence of cross-sectional dependence between the variables, the stationarity of all variables in the first differences, and the homogeneity in panel data. Moreover, the specification tests pointed to the presence of cross-sectional dependence, non-correlation between the crosses, serial correlation in the panel data model, and the existence of heteroskedasticity. The results of semi-elasticities (short run) and elasticities (long run) of ARDL model pointed that the economic growth and consumption of fossil fuels increase the CO₂ emissions in the short and long run, while the consumption of renewable energy reduces them. Despite the consumption of renewable energy reducing the environmental degradation in the MERCOSUR countries, its impact is small. Finally, this study proved that the consumption of renewable energy is able to reduce the CO₂ emissions, which is responsible for the environmental degradation in the MERCOSUR countries, and that the economic growth of these same countries increases the CO₂ emissions, along with the fact that all MERCOSUR countries are highly dependent of fossil fuels.     

Assessing the impact of CO2 emission control scenarios in Finland on radiative forcing and greenhouse effect

Carbon dioxide emission reduction scenarios for Finland are compared with respect to the radiative forcing they cause (heating power due to the absorption of infrared radiation in the atmosphere). Calculations are made with the REFUGE system model using three carbon cycle models to obtain an uncertainity band for the development of the atmospheric concentration. The future emissions from the use of fossil fuels in Finland are described with three scenarios. In the reference scenario (business-as-usual), the emissions and the radiative forcing they cause would grow continuously. In the scenario of moderate emission reduction, the emissions would decrease annually by 1% from the first half of the next century. The radiative forcing would hardly decrease during the next century, however. In the scenario of strict emission reductions, the emissions are assumed to decrease annually by 3%, but the forcing would not decrease until approximately from the middle of the next century depending on the model used. Still, in the year 2100 the forcing would be considerably higher than the forcing in 1990. Due to the slow removal of CO₂ from the atmosphere by the oceans, it is difficult to reach a decreasing radiative forcing only by limiting fossil CO₂ emissions. The CO₂ emissions from fossil fuels in Finland contribute to the global emissions presently by about 0.2%. The relative contribution of Finnish CO₂ emissions from fossil fuels to the global forcing due to CO₂ emissions is presently somewhat less than 0.2% due to relatively smaller emissions in the past. The impact of the nonlinearity of both CO₂ removal from the atmosphere and of CO₂ absorption of infrared radiation on the results is discussed.     

The gloomy greenhouse: Should the world phase out fossil fuels?

In 1988 the Toronto World Conference on the Changing Atmosphere called for a reduction of CO₂ emissions of the industrialized countries by approximately 20% by the year 2005 as compared with 1988. A stabilization of CO₂ concentrations would require an eventual emissions reduction of more than 50% of present levels. Model runs were performed with the Dutch Integrated Model for the Assessment of the Greenhouse Effect (IMAGE) to put these figures into perspective. It was found that the suggested emissions reduction levels could indeed be adequate to prevent global temperature change from moving beyond past climate experience. However, this would only be the case when these reduced levels of emissions were achieved at a global scale and maximum emission control for the other greenhouse gases was implemented. A delayed response analysis shows that the policies of the coming decades are crucial for the eventual control of the greenhouse effect.     

Causal interactions between environmental degradation,renewable energy,nuclear energy and real GDP: a dynamic panel data approach

Renewable energy as well as nuclear energy are low carbon power that presents the life cycle emissions of greenhouse gases than fossil fuel energy. However, analyzing the relationship between the consumption of renewable energy, consumption of nuclear energy, CO₂ emissions and economic growth is crucial for the economic and energy policy decision; we address this question for developed countries. This paper deals with the relationships between nuclear energy, environmental degradation, real GDP and renewable energy. We apply a panel data model for a global panel consisting of nine developed countries during the period 1990–2013. The group studied consists of Canada, France, Japan, Netherlands, Spain, Sweden, Switzerland, UK and the USA. The empirical findings suggest that: (1) a causal link between emissions and real income, (2) a unidirectional causality running from renewable energy to nuclear energy, (3) a unidirectional causal relationship running from capital to environmental degradation, (4) a unidirectional causal relationship running from income to nuclear energy consumption, since the growth hypothesis is valid, (5) a unidirectional causality running from capital to income, (6) no an outstanding role of renewable energy use in the contribution of CO₂ emissions.     

Toward sustainable use of natural resources: Nexus between resource rents,affluence, energy intensity and carbon emissions in developing and transition economies

Sustainable use of natural resources would entail ensuring that derived economic benefits today do not undermine the welfare of generations to come. On this basis, this study examines the nexus between natural resource rents and carbon dioxide (CO₂) emissions disaggregated into production and consumption-based (i.e., trade-adjusted) CO₂ emissions for a selected panel of 45 developing and transition economies over the period 1995–2017. The empirical model also incorporates the impacts of population, affluence, and energy intensity. The results show that affluence increases production-based CO₂ emissions by 1.407%, with the EKC's predicted inverted U-shaped curve only explaining consumption-based CO₂ emissions. Economic reliance on natural resource rents and energy intensification contribute 0.022% and 0.766%, respectively, to CO₂ emissions embedded in territorial production inventories and 0.035% and 0.583%, respectively, to CO₂ emissions embedded in consumption inventories. The bootstrap non-causality test shows that historical data on each variable has significant predictive power for future CO₂ emissions from both sources. The historical information about natural resource rents has significant predictive power over the future levels of affluence and energy intensity. Clearly, the results show that the environmental impact of natural resource rents is stronger when CO₂ emissions are adjusted for trade and varies among the countries, with Bangladesh, Guinea, India, Malaysia, Mexico, Nigeria, Pakistan, Saudi Arabia, Vietnam, and Zimbabwe among the most affected countries. Overall, this study provides motivation for policies to keep the use of natural resources within sustainable limits.     

Environmental policy stringency,renewable energy consumption and CO2 emissions: Panel cointegration analysis for BRIICTS countries

ABSTRACT

The aim of this paper is to investigate the relationship between environmental policy stringency and CO₂ emissions in BRIICTS (Brazil, Russia, India, Indonesia, China, Turkey and South Africa) for the period 1993–2014 after controlling for renewable energy, fossil energy, oil prices and income. We believe that this is the first attempt to use the recently OECD-developed environmental policy stringency index to test the effectiveness of environmental stringency policy in reducing CO₂ emission in these countries. Applying the Panel Pooled Mean Group Autoregressive Distributive Lag (PMG-ARDL) estimator, we found an inverted U–shaped relationship between environmental policy stringency and CO₂ emissions. This suggests that initially strict stringent environmental policy does not lead to improvements in the environment but after a certain level or a threshold point, environmental stringency policy leads to improvement in environmental quality. Renewable energy consumption was negatively related to CO₂ emissions while fossil energy consumption and real oil prices and income were positively and significantly related to CO₂. Our findings suggest that strengthening the stringency of environmental policies and promoting renewable energy are effective ways of preventing environmental degradation in BRIICTS countries.     

The impact of electric passenger transport technology under an economy-wide climate policy in the United States: Carbon dioxide emissions,coal use,and carbon dioxide capture and storage

Plug-in hybrid electric vehicles (PHEVs) have the potential to be an economic means of reducing direct (or tailpipe) carbon dioxide (CO₂) emissions from the transportation sector. However, without a climate policy that places a limit on CO₂ emissions from the electric generation sector, the net impact of widespread deployment of PHEVs on overall U.S. CO₂ emissions is not as clear. A comprehensive analysis must consider jointly the transportation and electricity sectors, along with feedbacks to the rest of the energy system. In this paper, we use the Pacific Northwest National Laboratory's MiniCAM model to perform an integrated economic analysis of the penetration of PHEVs and the resulting impact on total U.S. CO₂ emissions. In MiniCAM, the deployment of PHEVs (or any technology) is determined based on its relative economics compared to all other methods of providing fuels and energy carriers to serve passenger transportation demands. Under the assumptions used in this analysis where PHEVs obtain 50–60% of the market for passenger automobiles and light-duty trucks, the ability to deploy PHEVs under the two climate policies modelled here results in over 400 million tons (MT) CO₂ per year of additional cost-effective emissions reductions from the U.S. economy by 2050. In addition to investments in nuclear and renewables, one of the key technology options for mitigating emissions in the electric sector is CO₂ capture and storage (CCS). The additional demand for geologic CO₂ storage created by the introduction of the PHEVs is relatively modest: approximately equal to the cumulative geologic CO₂ storage demanded by two to three large 1000 megawatt (MW) coal-fired power plants using CCS over a 50-year period. The introduction of PHEVs into the U.S. transportation sector, coupled with climate policies such as those examined here, could also reduce U.S. demand for oil by 20–30% by 2050 compared to today's levels.     

Feeding fossil fuels to the soil: An analysis of energy embedded and technological learning in the fertilizer industry

In this paper, we assess energy demand due to fertilizer consumption in the period 1961–2001. Based on historical trends of gross energy requirements, we calculated that in 2001, global energy embedded in fertilizer consumption amounted to 3660 PJ, which represents about 1% of the global energy demand. Total energy demand has increased at an average rate of 3.8% p.a. Drivers behind the trend are rising fertilizer consumption and a shift towards more energy intensive fertilizers. Our results show that despite significant energy efficiency improvements in fertilizer manufacture (with exception of phosphate fertilizer in the last 20 years) improvements in energy efficiency have not been sufficient to offset growing energy demand due to rising fertilizer consumption. Furthermore, we found that specific energy consumption of ammonia and urea developed in close concordance with the learning curve model, showing progress ratios of 71% for ammonia production and 88% for urea. This suggests an alternative approach for including technological change in energy intensive industries in middle and long-term models dealing with energy consumption and CO₂ emissions, while few learning curves exist for energy efficiency of end use technologies.     

Short-Term Opportunities for Decreasing CO2 Emissions from the Steel Industry

There is a strong political will to decrease CO₂ emissions. Although the steel industry only accounts for some 5% of worldwide CO₂ emissions (which totalled 1,200 million tonnes per annum in the late 1990s), it will be strongly affected by this. The EU, for example, is putting up strong economic incentives for reductions. This is taking place at a time when demand for steel products is greater than ever. To radically change existing processes and production routes to decrease the CO₂ emissions would be extremely expensive, even if it were possible. Nevertheless, many of the solutions which have been discussed seem to go in this direction. The other alternative discussed seems to be the creation of process solutions and alterations that lead to a focusing of CO₂ streams, i.e., much higher CO₂ concentrations in flue gases than today, for entrapment of the CO₂ so that it is not discharged into the atmosphere. These solutions are feasible, but expensive.

However, there exists today a number of solutions and technologies which, if fully implemented, could substantially decrease CO₂ emissions without seriously altering current methods of operation; they are short-term viable solutions. The present paper reviews and discusses such technologies, throughout the steel production paths. If these solutions are fully implemented, the combined impact on CO₂ emissions from the steel industry worldwide is estimated to be a reduction of 100–150 million tonnes of CO₂ per annum, i.e., current emissions can be reduced by some 8–10% within a relatively short time span.     

Electricity systems with near-zero emissions of CO2 based on wind energy and coal gasification with CCS and hydrogen storage

Emissions from electricity generation will have to be reduced to near-zero to meet targets for reducing overall greenhouse gas emissions. Variable renewable energy sources such as wind will help to achieve this goal but they will have to be used in conjunction with other flexible power plants with low-CO₂ emissions. A process which would be well suited to this role would be coal gasification hydrogen production with CCS, underground buffer storage of hydrogen and independent gas turbine power generation. The gasification hydrogen production and CO₂ capture and storage equipment could operate at full load and only the power plants would need to operate flexibly and at low load, which would result in substantial practical and economic advantages. This paper analyses the performances and costs of such plants in scenarios with various amounts of wind generation, based on data for power demand and wind energy variability in the UK. In a scenario with 35% wind generation, overall emissions of CO₂ could be reduced by 98–99%. The cost of abating CO₂ emissions from the non-wind residual generation using the technique proposed in this paper would be less than 40% of the cost of using coal-fired power plants with integrated CCS.     

The environmental life cycle assessment of agricultural sector in Thailand: EIO‐LCA approach

Agriculture is one of the major sectors in Thailand, with more than half of the population employed in agriculture‐related occupations. This study evaluated energy consumption and greenhouse gas (GHG) emissions of the Thai agricultural sector by applying the economic input–output life cycle assessment (EIO‐LCA) approach. The model evaluates the entire agricultural sector supply chain. Based on one million Thai baht (approximately $27,800 U.S. dollars) final demand of the rice paddy sector, the carbon dioxide (CO₂) emissions from the electricity sector are responsible for 27% (1,246 kilograms [kg] CO₂) of the total CO₂ emissions, whereas the emissions from paddy activities associated with the fertilizers and pesticides sector account for 16% (760 kg CO₂) and 11% (513 kg CO₂), respectively. The top three largest GHG emissions from the total agricultural sector supply chain are associated with the oil palm, the coffee and tea, and the fruit sectors. The government should promote and encourage sustainable agriculture by reducing the use of fertilizers and pesticides and by utilizing energy‐saving technologies.