ArticleScientific data2026
A spatiotemporal dataset of farmland rent aligned with farming seasons across China 2021-2025.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- A spatiotemporal dataset of farmland rent aligned with farming seasons across China 2021-2025.Scientific data · 2026Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accurate farmland market data plays a crucial role in decision-making for policymakers, investors and operators. We present a nationwide, parcel-level dataset of farmland rent in China, derived from eight survey waves conducted between 2021 and 2025 across 27 provinces. The dataset comprises 7,237 rigorously validated samples, covering 191 cities and 422 counties in major agricultural production regions. Each record contains georeferenced parcel attributes and detailed transaction information, including parcel size, rental price, contracting parties, contractual terms. Compared with existing sources, this dataset offers broader coverage, finer spatial resolution, and improved temporal continuity, thereby addressing long-standing limitations of farmland transfer data in China. No other publicly available dataset provides comparable scope, reliability, and detail. Its release will enhance transparency in farmland markets and enable robust analyses of spatial and temporal dynamics, cross-regional comparisons, and the effects of institutional arrangements on land transactions. The dataset provides a valuable empirical foundation for advancing research in agricultural economics, rural development, and land use policy.
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Registered trials
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