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After the USA reached its carbon emission peak in 2007, the share of carbon emissions from its energy activities showed a downward trend. As a country that accounts for even close to 80% of the tertiary industry, the final demands from other industries are usually met by other countries in the form of international trade. While trade is realizing economic transfer, it also realizes the transfer of carbon emissions to a certain extent, helping the country achieve the peaks. From the perspective of combining carbon emission transfer and economic transfer, are there transfers and impacts? In this study, the quantified impact of international trade on the USA's carbon intensity has been investigated by a novel framework, based on a porposed scenario analysis using MRIO. As it gets lower aggregate carbon intensity value under trade scenario, it concludes that international trade is more conducive to the needs of this country for carbon emission reduction and economic development in general. From the different trade patterns, all of them get lower carbon intensity values under trade than no-trade scenario. From trade partners' perspectives, the positive and negative of the intensity gap cannot be kept uniform for all traders. Sectoral driving factors are decomposed by LMDI method, with the sectoral effect of aggrerate value-added structure and sectoral aggregate embodied carbon intensity. Among obvious carbon-intensive sectors, transport sectors always show a negative effect for the gap, and heavy manufacturing and electricity sectors usually give positive effects. As a major trading country in the world, trade and exchanges with other countries are more conducive to this country with a lower carbon intensity, and it also requires the country to shoulder coresponding responsiblities as a great power while enjoying the benefies. It is conducive to the further strengthening of unity of the international community, to jointly address the challenges of climate change and achieve the subsequent carbon neutral targets.

Titel:	Quantified impacts of international trade on the United States' carbon intensity.
Autor/in / Beteiligte Person:	Wang, Q ; Song, X
Link:	Full Text Finder (Volltext)
Zeitschrift:	Environmental science and pollution research international, Jg. 29 (2022-05-01), Heft 22, S. 33075-33094
Veröffentlichung:	<2013->: Berlin : Springer ; <i>Original Publication</i>: Landsberg, Germany : Ecomed, 2022
Medientyp:	academicJournal
ISSN:	1614-7499 (electronic)
DOI:	10.1007/s11356-021-18315-3
Schlagwort:	Carbon Dioxide analysis China Economic Development Internationality United States Carbon analysis Commerce
Sonstiges:	Nachgewiesen in: MEDLINE Sprachen: English Publication Type: Journal Article Language: English [Environ Sci Pollut Res Int] 2022 May; Vol. 29 (22), pp. 33075-33094. <i>Date of Electronic Publication: </i>2022 Jan 13. MeSH Terms: Carbon* / analysis ; Commerce* ; Carbon Dioxide / analysis ; China ; Economic Development ; Internationality ; United States References: Andersson FN (2018) International trade and carbon emissions: the role of Chinese institutional and policy reforms. J Environ Manage 205:29–39. (PMID: 10.1016/j.jenvman.2017.09.052) ; Ang BW (2015) LMDI decomposition approach: a guide for implementation. Energy Policy 86:233–238. (PMID: 10.1016/j.enpol.2015.07.007) ; BP (2020) BP statistical review of world energy 2019. ; Brown MA, Kim G, Smith AM, Southworth K (2017) Exploring the impact of energy efficiency as a carbon mitigation strategy in the U.S. Energy Policy 109:249–259. 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(PMID: 10.1016/j.eneco.2017.03.007) Grant Information: 71874203 National Natural Science Foundation of China Contributed Indexing: Keywords: Carbon intensity; International trade; Logarithmic Mean Divisia Index; Multi-regional input–output analysis; Quantified impacts; The United States Substance Nomenclature: 142M471B3J (Carbon Dioxide) ; 7440-44-0 (Carbon) Entry Date(s): Date Created: 20220113 Date Completed: 20220509 Latest Revision: 20220509 Update Code: 20240513

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Quantified impacts of international trade on the United States' carbon intensity.