Evidence map›Paper›PMID 34396475›Full record

ArticleEnvironmental science and pollution research international2022

China's inter-regional embodied carbon emissions: An industrial transfer perspective.

Yue-Yi Li, Hui Li

Abstract read
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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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Does Industrial Transfer Change the Spatial Structure of COInternational journal of environmental research and public health · 2021
    Article
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.

Yue-Yi LiSchool of Management and Economics, Beijing Institute of Technology, No.5, Zhongguancun South Street, Haidian District, Beijing, 100081, China.
Hui LiSchool of Management and Economics, Beijing Institute of Technology, No.5, Zhongguancun South Street, Haidian District, Beijing, 100081, China. lihui2020@bit.edu.cn.

Funding

Young Scientists Fund 71804011
6 · The paper itself

Abstract

In the context of internal circulation, domestic trade is widely encouraged in China. However, the growth of inter-provincial trade may aggravate inter-regional embodied carbon emissions transfer. The knowledge about the causes of changes in embodied carbon emissions from an industry transfer perspective is limited, which is significant for achieving the regional carbon emission reduction fairly and reasonably. Therefore, this paper utilizes the provincial energy consumption data and the multi-region input-output tables in 2002 and 2012 to calculate the embodied carbon transfer among different regions. Furthermore, the inter-regional embodied carbon emissions transfer trends are analyzed and discussed by the quantitative measurement of industries transfer. The results indicated that nearly 58% of carbon emissions were transferred out from the southeast coastal areas to the central and western areas by importing carbon-intensive productions, reaching 516 million tons. In addition, the carbon intensity in the eastern areas decreased by about 30%, while that increased by 11% in the central and western areas. Energy inequality among regions was getting worse. To promote inter-regional development equity, the emission reduction targets of different regions should be heterogeneous. Specifically, the southeast coastal areas are suggeted to compensate for the transfer-out emissions. The central and western areas are suggested to develop markets for renewable energy topromote the economy and adjust energy structure.

Indexed as

CarbonCarbon DioxideChinaEconomic DevelopmentIndustryCarbonCarbon DioxideEmbodied carbon emissionsIndustrial transferInter-regional tradeMulti-regional input–output analysis

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.