Exploring spatial patterns of carbon dioxide emission abatement via energy service companies in China

Zheng, Saina; Alvarado, Valeria; Xu, Pengpeng; Leu, Shao-Yuan; Hsu, Shu-Chien

doi:10.1016/j.resconrec.2018.06.004

Cited by 33 publications

(18 citation statements)

References 72 publications

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“…The coefficient of IS is − 0.130, which is significant at the 1% level, demonstrating that IS significantly and negatively impacts MCI. The result is consistent with the study of Zheng et al ( 2018 ), indicating that the optimization and upgrading of the industrial structure contribute to promoting the development of emerging industries with low energy consumption and high added value and advancing energy-saving and emission reduction in manufacturing. The coefficient of ES is 0.431 at a significance level of 1%, indicating that ES has a significant positive impact on MCI, which demonstrates that the coal-based energy consumption structure is the main cause of a large number of greenhouse gas emissions (Ma et al 2019 ).…”

Section: Resultssupporting

confidence: 92%

How does renewable energy technology innovation affect manufacturing carbon intensity in China?

Xin

Hui

Xia

et al. 2022

Environ Sci Pollut Res

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Renewable energy technology innovation (RETI) is a crucial driver for promoting the manufacturing green transformation. However, few studies have explored the impact of RETI on manufacturing carbon intensity (MCI) from the perspective of spatial spillover and regional boundary. Based on the manufacturing panel data of 30 provinces in China from 2006 to 2020, this study examines the mechanism, spatial spillover effects, regional boundaries, and industry heterogeneity of RETI on MCI using the spatial Durbin model. The results show that (1) RETI significantly inhibits local and neighboring MCI. (2) The spatial spillover effect of RETI on MCI has a significant regional boundary, which is inhibitory in the range of 800 km and shows a significant “half-decay” characteristic at 400 km. However, in the range of 800 to 1400 km, RETI significantly promotes neighboring MCI. (3) The inhibitory effect of RETI on MCI has temporal and regional heterogeneity, which gradually increases over time, and the effect from high to low is central, west, and east. (4) RETI has a significant inhibitory effect on MCI of pollution-intensive, high-income, capital-intensive, and labor-intensive manufacturing in local and neighboring areas, but it has a more negligible effect on non-pollution-intensive, low-income, and technology-intensive MCI. The findings provide empirical evidence for formulating targeted and differentiated policy in manufacturing low-carbon development.

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Section: Resultssupporting

confidence: 92%

How does renewable energy technology innovation affect manufacturing carbon intensity in China?

Xin

Hui

Xia

et al. 2022

Environ Sci Pollut Res

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“…Developing countries also have experienced barriers regarding information/awareness/knowledge, EPC expertise, access to equipment and technology, administration, reliability, and credibility (Vine, 2005). Other institutional factors, including nature itself (Zheng et al, 2020) and government and financial support (Nurcahyanto and Urmee, 2020;Zheng et al, 2018b), need to be accompanied by appropriate firm strategy and capabilities Pan et al, 2018) for the industry to prosper. In a study on LED standardization in China, the Philippines, Thailand, Vietnam, and Indonesia, in an attempt to push a green technology to dominance, it is shown that the institutional infrastructure strongly influences the role of key stakeholders in the standardization process of a new technology (van de Kaa and Greeven, 2017).…”

Section: Escos and Their Development In Chinamentioning

confidence: 99%

Technological capabilities development model in Chinese energy service companies

Qiu

Nunes

Vaidya

et al. 2022

Journal of Cleaner Production

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“…In China, for example, the national progress of carbon dioxide emission abatement can be attributed to the high efficiency of Energy service companies' projects. Population, consumption of coal, research & development input have a positive influence on carbon dioxide emission abatement (Zheng et al, 2018). In mining areas, the use of solar water heating systems is an alternative to reduce the average annual carbon dioxide emissions.…”

Section: Introductionmentioning

confidence: 99%

Quantification of greenhouse gas emissions of a steel factory in Brazil

Gomes

Oliveira

Mozer

2022

ATM

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This work aimed to identify and quantify the greenhouse gas (GHG) emissions of a Brazilian steel industry. It identifies and quantifies the emissions for a further study of an effective action plan by the organization. As a result, it was found that Scope 1 emissions (direct emissions from the company) were the largest emissions from the industry, representing more than 89% of total emissions. The Stationary Combustion category presented the highest emission values mainly due to the use of natural gas and charcoal. Biogenic CO2 emissions have shown the importance of organizations adhering to biomass use as a raw material in their processes, thereby reducing their GHG emissions to the atmosphere. Scope 2 emissions (indirect emissions, comprising the energy category) represented 10.87% of total emissions, the configuration of the Brazilian energy matrix contributes to this scenario. In order to achieve a differential control that would provide an indicator for the organization, it was necessary to adapt the tool for a monthly report. The studied company was interested in carrying out a more detailed monitoring, in a shorter time reporting of its emissions. Thus, after the results referring to the quantification of GHG emissions for the annual report, the results referring to the adaptation carried out in the GHG Protocol tool, version 2018.1.4 were also presented in this work.

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Exploring spatial patterns of carbon dioxide emission abatement via energy service companies in China

Cited by 33 publications

References 72 publications

How does renewable energy technology innovation affect manufacturing carbon intensity in China?

How does renewable energy technology innovation affect manufacturing carbon intensity in China?

Technological capabilities development model in Chinese energy service companies

Quantification of greenhouse gas emissions of a steel factory in Brazil

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