Evidence map›Paper›PMID 42693131›Full record

ArticleNature communications2026

Strategic timing for the decarbonization contributions by China's photovoltaic manufacturers in global energy transition.

Qingyang Lin, Chenglin Li, Kai Wang, Kai Fang, Meixuan Xin, Siqi Wang, Anqi Xu, Zhenci Xu, Yue Lu, Xiang Gao

Abstract read
In one paragraph

Article in Nature communications, 2026. 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

10 authors.

Qingyang Lin *State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0000-0001-5691-9532
Chenglin Li *School of Public Affairs, Zhejiang University, Hangzhou, China.
Kai Wang *State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou, China.
Kai FangSchool of Public Affairs, Zhejiang University, Hangzhou, China. fangk@zju.edu.cn.ORCID http://orcid.org/0000-0001-8641-0956
Meixuan XinSchool of Public Affairs, Zhejiang University, Hangzhou, China.
Siqi WangSchool of Public Affairs, Zhejiang University, Hangzhou, China.
Anqi XuSchool of Public Affairs, Zhejiang University, Hangzhou, China.
Zhenci XuDepartment of Geography, The University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0003-4123-077X
Yue LuSchool of International Trade and Economics, University of International Business and Economics, Beijing, China.
Xiang GaoState Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou, China. xgao1@zju.edu.cn.ORCID http://orcid.org/0000-0002-1732-2132

Funding

National Natural Science Foundation of China (National Science Foundation of China) 72074193National Natural Science Foundation of China (National Science Foundation of China) 72534005
6 · The paper itself

Abstract

Photovoltaic (PV) technology is central to clean electricity and the Sustainable Development Goals. However, China's PV manufacturing industry, which accounts for nearly two-thirds of global capacity, is often criticized for its high carbon emissions. Existing studies typically assign emission responsibility to manufacturers while attributing decarbonization benefits to power generation, overlooking upstream producers' contributions. Here we propose a Producer Decarbonization Contribution framework to quantify these long-overlooked contributions at national and global scales. We show that China's PV manufacturers contribute 31.4%-73.8% of total PV decarbonization in China and 27.9%-45.4% globally. We further identify a strategic timing, defined as the point at which the PV's decarbonization contributions reach their maximum, occurring around 2035 in China under the Announced Pledges Scenario and 2030 globally under the Net Zero Emissions Scenario proposed by the International Energy Agency. These findings suggest maintaining supportive policies for China before 2035, while adopting more stringent measures globally after 2030 to avoid overproduction. The proposed framework that enables adaptive industrial policy design can be extended to other renewable energy technologies.

Identifiers

PMID42693131
PMCPMC13542174

What OpenQuestion holds

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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.