Evidence map›Paper›PMID 35025043›Full record

ArticleEnvironmental science and pollution research international2022

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

Qiang Wang, Xiaoxin Song

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Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Qiang WangSchool of Economics and Management, China University of Petroleum (East China), Qingdao, 266580, People's Republic of China. qiangwang7@outlook.com.
Xiaoxin SongSchool of Economics and Management, China University of Petroleum (East China), Qingdao, 266580, People's Republic of China.

Funding

National Natural Science Foundation of China 71874203
6 · The paper itself

Abstract

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.

Indexed as

CarbonCommerceCarbon DioxideChinaEconomic DevelopmentInternationalityUnited StatesCarbonCarbon DioxideCarbon intensityInternational tradeLogarithmic Mean Divisia IndexMulti-regional input–output analysisQuantified impactsThe United States

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