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Journals / Atmospheric Pollution Research / 2016 / Cilt: 7 - Sayı: 2

A combined inputeoutput and sensitivity analysis of CO2 emissions in the high energy-consuming industries: A case study of China

Rong YUAN
Tao ZHAO
Pages
315–325
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Our results show that technical coefficients with ahigher TCE value correspond to the direct requirements by the high energy-consuming industriesthemselves.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper employed an inputeoutput approach combined with a sensitivity analysis to explore theimpact of technological changes on CO2 emissions in the high energy-consuming industries.
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Key Findings & Data:An indicator, namely TCE (technical coefficient elasticity), wasestablished to identify the transactions between economic sectors which lead to a large impact on CO2emissions in the high energy-consuming industries.
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Conclusion & Impact:Our results show that technical coefficients with ahigher TCE value correspond to the direct requirements by the high energy-consuming industriesthemselves.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Özet

This paper employed an inputeoutput approach combined with a sensitivity analysis to explore theimpact of technological changes on CO2 emissions in the high energy-consuming industries. In contrastto most papers in the literature, which focused on the changes between two inputeoutput tables in twodifferent periods, this study analyzed the sensitivity of variations in the quantity of emissions caused bysmall changes in technical coefficients. An indicator, namely TCE (technical coefficient elasticity), wasestablished to identify the transactions between economic sectors which lead to a large impact on CO2emissions in the high energy-consuming industries. Additionally, by analyzing factors affecting TCE, thispaper divided TCE into structure-relevant TCE and technology-relevant TCE. Sectors have a higherstructural TCE value because their products are much demanded by other sectors. Sectors have a highertechnological TCE value because they have a large propensity to consume inputs which require manyproducts of the high energy-consuming industries. Our results show that technical coefficients with ahigher TCE value correspond to the direct requirements by the high energy-consuming industriesthemselves. However, the impacts of technological changes in the non-high energy-consuming industrieson high energy-consuming industries cannot be overlooked, especially in Transportation industry,Construction industry and manufacturing industries. Several industries have a higher structuralTCE value, thus, their influence on CO2 emissions in the high energy-consuming industries is related to ahigh level of demand of their respective products. However, several industries have a higher technologicalTCE value, thus, technology innovation will be more effective to decrease CO2 emissions.Therefore, different measures should be adopted for reducing CO2 emissions in the high energyconsumingindustries according to different conditions.

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Cite This Article

YUAN, R., ZHAO, T. (2016). A combined inputeoutput and sensitivity analysis of CO2 emissions in the high energy-consuming industries: A case study of China. Atmospheric Pollution Research, Cilt: 7 - Sayı: 2, 315–325. https://ajindex.com/articles/351530

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