ArticlePloS one2026
Spatial patterns of foreign agricultural land holdings near U.S. military interest points.
Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Foreign holdings of U.S. farmland have received increased regulatory and public attention amid concerns about national security risks, particularly when adversary-linked acquisitions occur near military installations. Most existing research focuses on the volume rather than the spatial distribution of these holdings. Using social media listening, we document a sharp rise in public discussion of foreign agricultural land holdings since 2020, coinciding with the post-2022 wave of state-level legislation. We then assess the spatial relationship between foreign land transactions and U.S. Military Interest Points (MIPs) using transaction-level data from the Agricultural Foreign Investment Disclosure Act covering 1996-2024. People's Republic of China (PRC)-linked transactions excluding the 2013 Smithfield acquisition occur in MIP counties at 43.7%, compared with approximately 11% for non-adversary foreign and unidentified-origin transactions. Linear probability and probit specifications with state and acquisition-year fixed effects estimate that MIP presence is associated with a 0.47 percentage-point to 0.75 percentage point higher probability that a transaction is PRC- linked, while non-adversary foreign transactions show no MIP association. Descriptive evidence suggests that PRC-linked transactions shifted from MIP counties toward MIP-adjacent counties after 2022, while the share of transactions reported under unidentified-origin codes rose in both MIP and MIP-adjacent counties, though small post-2022 sample sizes preclude statistical inference. Our findings are associational rather than causal and inform ongoing policy discussions about foreign agricultural land ownership.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.