Quantifying the accelerated diffusion and cost savings of global solar photovoltaic supply chains.

Zhuo Chen, Baihe Gu, Donghui Yu, Chen Wang

Abstract read

In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Diversifying the solar photovoltaic supply chain to secure Europe's energy and climate roadmap and sovereignty.iScience · 2025
Review

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

4 authors.

Zhuo ChenSchool of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100190, China.

Baihe GuSchool of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100190, China.

Donghui YuSchool of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100190, China.

Chen WangSino-Danish College, University of Chinese Academy of Sciences, Beijing 100190, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Solar photovoltaic (PV) is critical for achieving the 2030 global target of tripling renewable power capacity. Over the past two decades, the global supply chain has significantly reduced the cost of solar PV products enabling widespread adoption. However, many countries are now implementing decoupling measures to enhance supply chain security and boost local economies. Here we quantify the impact of decoupling measures on solar PV deployment and module costs in China, the EU, the US, and Japan, using a methodology that combines the learning curve with the Bass diffusion model. Our results indicate that decoupling measures could lead to a significant increase in PV module costs and a marked slowdown in global deployment due to the disruption of free flows of capital, technology, talent, and information. The global supply chain remains essential for addressing the climate crisis. Countries should balance growth, security, and climate objectives in their green industrial policies.

Indexed as

Energy engineeringEnergy policyEnergy resourcesEngineering

Identifiers

PMID39834873

DOI10.1016/j.isci.2024.111610

PMCPMC11743100

What OpenQuestion holds

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LicenceCC BY-NC

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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.