Evidence map›Paper›PMID 41712647›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

The effect of land costs on the economic and sustainability performance of solar photovoltaics in China.

Shi Chen, Xi Lu, Jiming Hao, Edgar Virgüez, Ken Caldeira, Steven J Davis

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. 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.

  1. The effect of land costs on the economic and sustainability performance of solar photovoltaics in China.Proceedings of the National Academy of Sciences of the United States of America · 2026
    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

6 authors.

Shi ChenDepartment of Global Ecology, Carnegie Science, Stanford, CA 94305.ORCID 0000-0001-8719-4431
Xi LuBeijing Laboratory of Environmental Frontier Technologies, Tsinghua University, Beijing 100084, China.ORCID 0000-0002-5063-3776
Jiming HaoBeijing Laboratory of Environmental Frontier Technologies, Tsinghua University, Beijing 100084, China.
Edgar VirgüezDepartment of Energy Science and Engineering, Stanford Doerr School of Sustainability, Stanford University, Stanford, CA 94305.ORCID 0000-0002-0732-9832
Ken CaldeiraDepartment of Global Ecology, Carnegie Science, Stanford, CA 94305.
Steven J DavisDepartment of Earth System Science, Stanford Doerr School of Sustainability, Stanford University, Stanford, CA 94305.ORCID 0000-0002-9338-0844

Funding

Gates Ventures (Gates Ventures, LLC)the China Postdoctoral Science Foundation BX2021148the NSF of China 72025401the NSF of China 72140003the NSF of China 72204132the Ordos-Tsinghua Innovative & Collaborative Research Program in Carbon Neutrality
6 · The paper itself

Abstract

Scaling up solar photovoltaics (PV) is essential for global decarbonization, particularly in China-the world's largest greenhouse gas (GHG) emitter. Despite leading in PV installations, China has yet to widely adopt the more efficient tracking technologies for capturing solar radiation (12% adoption rate), in stark contrast to the United States (90%). To examine the rationale behind this divergence and its consequences, we develop a spatially explicit, integrated model to evaluate and compare tracking and fixed-tilt systems in China-comparing power generation, land use, cost, sustainability, and policy resilience. We find that although single-axis tracking provides electricity gains and appears technically more cost-effective, rising land prices in China could offset its benefits. Land costs increase the levelized cost of electricity by 20% for tracking systems, compared to 8% for fixed-tilt, making the latter cheaper in real-world conditions. Consequently, land-efficient fixed-tilt systems are favored, despite requiring 18 to 26% more panels for the same output-intensifying material demands. Under a 6 PWh target in 2060, current land policies would drive 59% of electricity toward fixed-tilt. Reducing soft land costs could increase the adoption of tracking systems to 63% and reduce installed capacity by up to 8% (219 GW) under the same electricity output, compared with an increasing costs scenario, but would expand land use by 35% or 12.9 thousand km

Indexed as

decarbonization trade-offsenergy policy in Chinaland–energy nexussoft costs of solar energysolar tracking technologies

Identifiers

PMID41712647
PMCPMC12933101

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.