Evidence map›Paper›PMID 40610487›Full record

ArticleScientific reports2025

Interstage market spillovers of the photovoltaic industry chain in China.

Jia Wang, Lanze Li, Tao Shen

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

3 authors.

Jia WangSchool of Business, Macau University of Science and Technology, Macao, 999078, China.
Lanze LiThe Institute for Sustainable Development, Macau University of Science and Technology, Macao, 999078, China.
Tao ShenThe Institute for Sustainable Development, Macau University of Science and Technology, Macao, 999078, China. tshen@must.edu.mo.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Driven by the goals of "carbon peak and carbon neutrality", China's photovoltaic industry has experienced rapid expansion, which provides a unique opportunity to study dynamic spillover effects within a structured industry framework. This study uses data from January 2017 to December 2024 to fill the research gap by exploring the complex spillover effects between the upstream, midstream and downstream of the photovoltaic industry chain. Empirical analysis based on the TVP-VAR-DY and TVP-VAR-BK models shows that: (1) Spillover effects initiated by specific markets, as well as their received impacts, exhibit significant time-varying asymmetries driven by major policy shifts and extreme events. (2) Spillover effects among key material markets are significantly higher under high-frequency trading conditions than under medium or long term. (3) Upstream silicon materials and photovoltaic modules are considered the main sources of risk transmission, while mid- and downstream links such as silver paste and photovoltaic glass are the main recipients of risk. The transmission of cross-market risks usually follows a feedback model, that is, the "upstream drive, downstream response" contagion pattern. In addition, the dynamic risk hedging strategies among key material markets in the photovoltaic industry provide empirical evidence for industry stakeholders and policymakers to implement risk management strategies.

Indexed as

Dynamic spillover networkInterstage spilloversPhotovoltaic industry chainTime-frequency perspectiveTVP-VAR-BK model

Identifiers

PMID40610487
PMCPMC12229309

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.