Decomposition of toxicity emission changes on the demand and supply sides: empirical study of the US industrial sector

Fujii, Hidemichi; Okamoto, Shunsuke; Kagawa, Shigemi; Managi, Shunsuke

doi:10.1088/1748-9326/aa9c66

Cited by 18 publications

(10 citation statements)

References 47 publications

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“…The LMDI approach has been used predominantly in energy studies [16]. As far back as 1991, LMDI has been used to investigate the drivers of CO 2 in the manufacturing sector [17] and, more recently, the LMDI approach has been applied to corporate environmental management research to clarify the key drivers of toxic Sustainability 2018, 10, 244 4 of 12 chemical emission changes [18,19]. Additionally, LMDI was applied in patent decomposition analyses to investigate research and development priority changes over time [20,21].…”

Section: Methodsmentioning

confidence: 99%

Key Drivers for Cooperation toward Sustainable Development and the Management of CO2 Emissions: Comparative Analysis of Six Northeast Asian Countries

2018

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This study analyzes the key drivers of the relationship between economic growth and carbon emissions in six Northeast Asian countries (China, Japan, Republic of Korea, Democratic People's Republic of Korea, Mongolia, and Russia) from 1991 to 2015. We apply a decomposition analysis approach using Logarithmic Mean Divisia Index to identify the main contributing factors toward CO 2 emission changes. To discuss the decomposition results in more in detail, we explain the energy portfolio change in each country to understand the energy and resource utilization strategy. From the results, we find that the key driving factors of CO 2 emissions change and energy portfolio trends are different among Northeast Asian countries, driven by economic growth in China and Korea, reduced by energy efficiency improvements in Russia and the DPRK, while being relatively benign in Japan and Mongolia due to a combination of these factors. This result implies that we can better understand the regional cooperation policy for improving each driving factor to achieve sustainable development and management of CO 2 emissions considering the characteristics of each country.

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Section: Methodsmentioning

confidence: 99%

Key Drivers for Cooperation toward Sustainable Development and the Management of CO2 Emissions: Comparative Analysis of Six Northeast Asian Countries

2018

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“…Typically, IDA is easier to adopt than SDA because it requires only the aggregated data (Ang, ). In IDA, LMDI is a popular method for the analysis of energy and CO 2 emissions usually based on the IPAT equation and Kaya identity (for recent studies, see Cansino et al, ; Chapman et al, ; Chong et al, ; Fujii, ; Fujii & Managi, ; Fujii et al, ; Fujii et al, ; Kwon et al, ; Wang, Liu, et al, ).…”

Section: Modelmentioning

confidence: 99%

“…The model of direct + indirect GHG emissions (Scope 1 + 2) uses GHG intensity instead of CO 2 intensity, and the model of supply-chain GHG emissions (Scope 1 + 2 + 3) additionally adopts supply-chain intensity. This study proposes to use the log-mean Divisia index (LMDI) as the model's decomposition method (Ang, 2004(Ang, , 2015Ang & Zhang, 2000;Cansino, Sánchez-Braza, & Rodríguez-Arévalo, 2015;Chapman, Fujii, & Managi, 2018;Chong, Ma, Li, Ni, & Song, 2015;Fujii, 2016;Fujii & Managi, 2016;Fujii, Okamoto, Kagawa, & Managi, 2017;Fujii, Yoshida, & Sugimura, 2016;Kwon, Cho, & Sohn, 2017;Wang, Liu, Zhang, & Song, 2014).…”

Section: Introductionmentioning

confidence: 99%

Decomposition analysis of corporate carbon dioxide and greenhouse gas emissions in Japan: Integrating corporate environmental and financial performances

Yagi

Managi

2018

Bus Strat Env

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Recent empirical studies often support the positive relationship between corporate environmental performance (CEP) in terms of carbon dioxide (CO2) and greenhouse gas (GHG) emissions and corporate financial performance (CFP). However, this depends on the measurements of CEP (the absolute and relative CEP) and CFP (accounting‐based and market‐based CFP). To understand the relationship structurally, based on the literature, this study proposes identity models that integrate CO2 and GHG emissions and financial factors. The models decompose CO2 (GHG) emissions into carbon intensity (GHG intensity), energy intensity, the cost‐to‐sales ratio, the total‐assets‐turnover ratio (TATR), leverage, and equity. The model of supply‐chain GHG emissions additionally adopts supply‐chain GHG intensity. As a decomposition method, this study uses the log‐mean Divisia index. As an application example of the CO2 model, this study targets Japanese manufacturing firms in 16 sectors from fiscal years (FY) 2011 to 2015. Results show that the change in CO2 emissions as of 2015 (−802.1 kilotonnes [kt]) is decomposed into 2922.5 kt for carbon intensity, −26036.3 kt for energy intensity, −6350.5 kt for the cost‐to‐sales ratio, −8495.6 kt for the TATR, −7912.3 kt for leverage, and 45070.1 kt for equity. Average values of relative contribution ratios are 20.6% for carbon intensity, 19.1% for energy intensity, and the remaining approximately 60% for financial factors. Among the 16 sectors, as of 2015, the change in total CO2 emission is statistically significantly positive for equity and significantly negative for the TATR and leverage.

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“…based on sector-level or region-level analyses [43][44][45][46] , we adopt the Logarithmic Mean Divisia Index (LMDI) method 31,32 to decompose pollutants emission using firm-level data. For non-power sectors, according to existing studies 44,[47][48][49][50][51][52] , emission is calculated by the following formula:…”

Section: Decomposition Of Air Pollutants (So2 Nox and Pm) Emissions In Contrast To Current Researchesmentioning

confidence: 99%

Air pollution reduction and climate co-benefits in China’s industries

et al. 2021

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Air pollution reduction policies can also mitigate CO2 emissions simultaneously in the industrial sector, but the extent of these co-benefits is understudied. We analyse the potential co-benefits for SO2, NOx, particulate matter (PM) and CO2 emissions reduction in major industrial sectors in China. We construct and analyse a firm-level database covering more than 75 thousand observations and scenario simulations are used to estimate the co-benefits. The findings show that substantial co-benefits could be achieved with three specific interventions. Energy intensity improvement can reduce SO2, NOx, PM and CO2 emissions by 26-44%, 19-44%, 25-46% and 18-50% respectively. Reductions from scale structure adjustment such as phasing out small firms and developing large ones can amount to 1-8%, 1-6%, 2-20% and 0.2-3%. Electrification can reduce emissions by 19-25%, 4-28%, 20-29% and 11-12% if the share of electricity generated from nonfossil fuel sources is 70%. The former two interventions have already been put into practice while the third intervention is regarded as a significant contributor for realizing China's carbon neutrality target. Since firm heterogeneity is the essential source for realizing the co-benefits and it directly determines the magnitude of the co-benefits, stricter and sensible environmental policies targeting industrial firms can accelerate China's sustainable transformation.China is seizing opportunities to achieve its climate commitment to the Pairs Agreement of UNFCCC, while the overall energy-related CO2 emission continues to rise after a small trough in 2016. Domestically, China has battled air pollution for more than thirty years 1 . Although great achievements have been made, China is still facing severe environmental challenges 2,3 . In 2018, only 121 out of 338 cities at and above the prefecture level met the national air quality standard 4 . Among all emission sources, industrial sectors contributed more than 80% of national sulphur dioxide (SO2) emission, more than 60% of national nitrous oxide (NOx) emissions 5 , and more than 80% of national carbon dioxide (CO2) emissions 6 ; therefore, it is still the first priority to strengthen

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Decomposition of toxicity emission changes on the demand and supply sides: empirical study of the US industrial sector

Cited by 18 publications

References 47 publications

Key Drivers for Cooperation toward Sustainable Development and the Management of CO2 Emissions: Comparative Analysis of Six Northeast Asian Countries

Key Drivers for Cooperation toward Sustainable Development and the Management of CO2 Emissions: Comparative Analysis of Six Northeast Asian Countries

Decomposition analysis of corporate carbon dioxide and greenhouse gas emissions in Japan: Integrating corporate environmental and financial performances

Air pollution reduction and climate co-benefits in China’s industries

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