Investigating the determinants of carbon emissions in the USA: a state-level analysis

Dehdar, Fatemeh; Fuinhas, José Alberto; Alavijeh, Nooshin Karimi; Nazeer, Nazia; Zangoei, Samane

doi:10.1007/s11356-022-23831-x

Cited by 7 publications

(7 citation statements)

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“…In the US, the residential sector contributes to ~20% of annual total energy usage and ~19% of carbon emissions (including direct consumption of fossil fuels and indirect emission by electricity generation), showing great potential in decarbonization and energy-saving [4][5][6] . Carbon footprints demonstrate great regional differences due to the diversity of population density, economic activities, and energy sources [7,8] . Analyzing the regional differences promotes developing tailored mitigation efforts to reduce residential building carbon emissions.…”

Section: Introductionmentioning

confidence: 99%

“…Previous studies have analyzed the state-level carbon emissions in the US, combining all sectors; however, the comparison and analysis of the carbon footprints of residential buildings in different states is limited. In the US, the "State Energy CO 2 Emissions" database regulated by the Environmental Protection Agency (EPA) is the predominant data source used to analyze regional differences of carbon emissions [7,9] . Although this database has separated the carbon emissions by sectors, including direct fossil fuel usage by transportation, industrial, and residential, as well as the fuels consumed for electricity generation, state-level residential carbon emissions are still unavailable in that carbon emissions related to electricity generation fail to be further assigned to residential, commercial, and other sectors [10] .…”

Section: Introductionmentioning

confidence: 99%

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Regional Difference of US Residential Building Energy Usage and Carbon Footprint: State-Level Analysis

Chen,

Kuang

2024

Jounarl of Building Design and Environment

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United States (US) residential buildings demonstrate great decarbonization and energy-saving potential. However, research on the carbon footprint of residential buildings at the state level, especially consumption-based emissions, is limited. Therefore, this paper aims to quantify and compare the state-level carbon emissions and energy consumption of residential buildings in the US. Specifically, state carbon emission factors of electricity are estimated using area and population-based interpolations of eGRID regional carbon factors. Total carbon emissions and carbon intensity (e.g., carbon emission per household/ capita) of each state are then calculated based on the 2020 Residential Energy Consumption Survey dataset. Results of state carbon footprints demonstrate regional differences and spatial patterns: Texas and California stand out as the top energy consumers and contribute to the largest amount of carbon emissions, while Missouri has the highest carbon intensity on a household/ capita/ housing area basis. Also, west and east coastal states (e.g., California) exhibit lower carbon intensities than central states. Sensitivity analysis concludes that highly electrified states (e.g., Florida and Hawaii) are more sensitive to the carbon emission factor of electricity generation, with sensitivity degrees over 0.97. Furthermore, correlation analysis indicates that total carbon emission and its sensitivity to electricity carbon emission factor, as well as emission intensity positively correlate with state energy profile (e.g., gas ratio). Therefore, to achieve residential building decarbonization, besides energy-conservative measures, high gas-penetration states (e.g., Illinois) need to reduce direct fossil fuel use in residential energy services; states with high carbon emission factors and electrifications, e.g., Hawaii and Missouri, need to decarbonize electricity generation by adopting renewable energy as sources. The research findings contribute to understanding the regional variations in carbon footprints and energy usage of residential buildings, facilitating the development of tailored decarbonization and energy-saving measures for targeting states in the US.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Regional Difference of US Residential Building Energy Usage and Carbon Footprint: State-Level Analysis

Chen,

Kuang

2024

Jounarl of Building Design and Environment

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“…Environmental deterioration, resulting from the emission of greenhouse gases (GHGs), deforestation and the excessive use of natural resources, represents a pressing global concern, posing a significant threat to the planet's ecosystems. In recent years, there has been a notable increase in carbon dioxide (CO 2 ) emissions, a major contributor to the GHGs responsible for global warming and climate change (Pata, 2021; Dehdar et al ., 2023; Alavijeh et al ., 2023). The rising level of global temperatures caused by CO 2 emissions has prompted governments and international organizations to implement more robust measures to combat GHGs.…”

Section: Introductionmentioning

confidence: 99%

“…The rising level of global temperatures caused by CO 2 emissions has prompted governments and international organizations to implement more robust measures to combat GHGs. Therefore, climate change and CO 2 emissions-related matters have gained increased concern from both policymakers and scholars in the recent years (Dehdar et al ., 2023; Pata et al ., 2023a).…”

Section: Introductionmentioning

confidence: 99%

Impact of indirect taxes on CO₂ emissions in the presence of institutional quality: evidence from a global panel data analysis

Ebaidalla

2023

MEQ

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PurposeDespite the importance of tax policy in reducing energy consumption and carbon emissions, there is a dearth of research on the environmental impact of indirect taxes. This paper examines the impact of indirect taxes on carbon dioxide (CO2) emissions, with an emphasis on institutional quality.Design/methodology/approachThe study uses the Government Revenue Dataset (2021), comprising 143 countries, dividing into 114 developing and 29 developed countries, during the period between 1996 and 2019. The author adopts panel data techniques, with Driscoll–Kraay standard errors to account for the issue of cross-sectional dependence (CSD).FindingsThe results indicate that indirect tax revenues have a negative and significant impact on CO2 emissions for the total sample. The subsample analysis revealed that while indirect taxes reduce carbon emissions in developing countries, opposed results are reported for developed countries. This finding implies that most of the advanced countries have already reached a high level of taxes, at which carbon emissions increase as indirect tax increases further. Interestingly, the results revealed that institutional quality enhances the role of indirect taxes in mitigating carbon emissions for both developing and developed countries.Originality/valueTo the best of the authors' knowledge, this is the sole study using the newly developed tax data by the United Nations University, World Institute for Development Research (UNU-WIDER) to investigate the impact of indirect taxes on carbon emissions, with an emphasis on institutional quality. The existing literature focuses on specific taxes, like carbon taxes, with no comprehensive research on the link between indirect taxes and carbon emissions.

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“…The main energy source has been fossil fuels since the Industrial Revolution, and their use is expected to grow by 78% of total energy consumption by 2040 (Halkos and Gkampoura, 2020;Salehnia et al, 2020). The positive relationship between fossil energy consumption and carbon emissions and the subsequent further degradation of the environment has been proven in a tremendous number of studies (Hanif et al, 2019;Ibrahiem and Hanafy, 2020;Lawson, 2020;Kwakwa, 2020;Dehdar et al, 2022). According to the U.S. Environmental Protection Agency, carbon dioxide emissions from the usage of fossil fuels and industries are 68% of total greenhouse gas (GHG) emissions [EPA (2020) reports].…”

Section: Introductionmentioning

confidence: 99%

The role of renewable energy on life expectancy: evidence from method of moments quantile regression based on G-7 countries data

Alavijeh

Shadmehri

Dehdar

et al. 2023

IJESM

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Purpose While science has researched the impact of air pollution on human health, the economic dimension of it has been less researched so far. Renewable energy consumption is an important factor in determining the level of life expectancy and reducing health expenditure. Thus, this study aims to investigate the impact of renewable energy, carbon emissions, health expenditure and urbanization on life expectancy in G-7 countries over the period of 2000–2019. Design/methodology/approach This study has adopted a novel Method of Moments Quantile Regression (MMQR). Furthermore, as a robustness check for MMQR, the fully modified ordinary least square, dynamic ordinary least squares and fixed effect ordinary least square estimators have been used. Findings The results indicated that renewable energy consumption, health expenditure and urbanization lead to an increase in life expectancy across all quantiles (5th to 95th), whereas higher carbon dioxide emissions reduce life expectancy at birth across all the quantiles (5th to 95th). Practical implications The empirical findings conclude that governments should recognize their potential in renewable energy sources and devise policies such as tax-related regulations, or relevant incentives to encourage further investments in this field. Originality/value This paper in comparison to the other research studies used MMQR to investigate the impact of factors affecting life expectancy. Also, to the best of the authors’ knowledge, so far no study has investigated the impact of renewable energy on life expectancy in G-7 countries.

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Investigating the determinants of carbon emissions in the USA: a state-level analysis

Cited by 7 publications

References 66 publications

Regional Difference of US Residential Building Energy Usage and Carbon Footprint: State-Level Analysis

Regional Difference of US Residential Building Energy Usage and Carbon Footprint: State-Level Analysis

Impact of indirect taxes on CO₂ emissions in the presence of institutional quality: evidence from a global panel data analysis

The role of renewable energy on life expectancy: evidence from method of moments quantile regression based on G-7 countries data

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Investigating the determinants of carbon emissions in the USA: a state-level analysis

Cited by 7 publications

References 66 publications

Regional Difference of US Residential Building Energy Usage and Carbon Footprint: State-Level Analysis

Regional Difference of US Residential Building Energy Usage and Carbon Footprint: State-Level Analysis

Impact of indirect taxes on CO2 emissions in the presence of institutional quality: evidence from a global panel data analysis

The role of renewable energy on life expectancy: evidence from method of moments quantile regression based on G-7 countries data

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Impact of indirect taxes on CO₂ emissions in the presence of institutional quality: evidence from a global panel data analysis