Evidence map›Paper›PMID 37469929›Full record

ArticlePNAS nexus2023

Implementation of carbon pricing in an aging world calls for targeted protection schemes.

Peipei Tian, Kuishuang Feng, Heran Zheng, Klaus Hubacek, Jiashuo Li, Honglin Zhong, Xiangjie Chen, Laixiang Sun

Open access · goldAbstract read
In one paragraph

Article in PNAS nexus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
10.0field-weighted citation impact, top 2% of its field
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

2 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Higher total energy costs strain the elderly, especially low-income, across 31 developed countries.Proceedings of the National Academy of Sciences of the United States of America · 2024
    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

8 authors at 5 institutions in 4 countries.

Peipei TianInstitute of Blue and Green Development, Shandong University, 180 Wenhua Xilu, Weihai, 264209, China.ORCID https://orcid.org/0000-0003-0465-4098
Kuishuang FengDepartment of Geographical Sciences, University of Maryland, 2181 LeFrak Hall, College Park, MD 20742, USA.ORCID https://orcid.org/0000-0001-5139-444X
Heran ZhengThe Bartlett School of Sustainable Construction, University College London, Gower Street, London, WC1E 6BT, UK.
Klaus HubacekIntegrated Research on Energy, Environment and Society, Energy and Sustainability Research Institute Groningen, University of Groningen, Nijenborgh 6, Groningen, 9747 AG, The Netherlands.
Jiashuo LiInstitute of Blue and Green Development, Shandong University, 180 Wenhua Xilu, Weihai, 264209, China.ORCID https://orcid.org/0000-0002-2915-4770
Honglin ZhongInstitute of Blue and Green Development, Shandong University, 180 Wenhua Xilu, Weihai, 264209, China.ORCID https://orcid.org/0000-0003-1236-6037
Xiangjie ChenDepartment of Geographical Sciences, University of Maryland, 2181 LeFrak Hall, College Park, MD 20742, USA.ORCID https://orcid.org/0000-0002-4884-2587
Laixiang SunDepartment of Geographical Sciences, University of Maryland, 2181 LeFrak Hall, College Park, MD 20742, USA.ORCID https://orcid.org/0000-0002-7784-7942
Shandong University · CNUniversity of Maryland, College Park · USUniversity College London · GBUniversity of Groningen · NLUniversity of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the impact of climate fiscal policies on vulnerable groups is a prerequisite for equitable climate mitigation. However, there has been a lack of attention to the impacts of such policies on the elderly, especially the low-income elderly, in existing climate policy literature. Here, we quantify and compare the distributional impacts of carbon pricing on different age-income groups in the United States, the United Kingdom, and Japan and then on different age groups in other 28 developed countries. We find that the elderly are more vulnerable to carbon pricing than younger groups in the same income group. In particular, the low-income elderly and elderly in less wealthy countries face greater challenges because carbon pricing lead to both higher rate of increase in living cost among low-income elderly and greater income inequality within the same age group. In addition, the low-income elderly would benefit less than the younger groups within the same income group in the commonly proposed carbon revenues recycling schemes. The high vulnerability of the low-income elderly to carbon pricing calls for targeted social protection along with climate mitigation polices toward an aging world.

Indexed as

agingcarbon pricingcarbon revenues recyclingclimate change mitigation

Identifiers

PMID37469929
PMCPMC10353720
OpenAlexW4384700192

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.