Evidence map›Paper›PMID 36550255›Full record

ArticleEnvironmental science and pollution research international2023

Green bonds' liquidity in COVID-19 and low carbon investments in China: A stochastic trend analysis.

Yi Wang, Lei Chang

Abstract read
In one paragraph

Article in Environmental science and pollution research international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yi WangSchool of Software & Microelectronics, Peking University, Beijing, 100091, China.
Lei ChangSchool of Economics, Peking University, Beijing, 100871, China. chang06@mail.ustc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Central banks and regulators increasingly consider climate-related financial risks (CRFR) relevant to their responsibilities for maintaining financial stability and using daily data from 2016 to 2021 for China. Specifically, we used the S&P Green Bond Price Index, the Solactive Global Solar Price Index, the Solactive Global Wind Price Index, and the S&P Global Clean Energy and Carbon Price Index as our data set. We use the TVP-VAR method to probe return spillovers and interconnectedness. We test several portfolio strategies, including the minimum variance portfolio, the minimum correlation portfolio, and the more recent minimum connectedness portfolio. However, the evolving policy structure for dealing with CRFR has generally focused on market-based solutions that attempt to address perceived data gaps that preclude the appropriate pricing of CRFR, even though CRFR is thought to have certain distinctive features. Disclosure and openness fall within this category. We propose limiting the approach's influence since CRFR is characterized by extreme attainability. A 'precautionary' financial policy option is presented as an alternative, providing a conceptual foundation for justifying more aggressive financial policy intervention in the present to better cope with these long-term dangers.

Indexed as

CarbonCOVID-19Environmental PolicyCarbon SequestrationChinaHumansInvestmentsPolicyTaxesCarbonClimate-related financial riskFinancial policyGlobal clean energyGreen bond price index

Identifiers

PMID36550255
PMCPMC9780100

What OpenQuestion holds

Textmetadata
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.