Evidence map›Paper›PMID 42189855›Full record

ArticlePloS one2026

How does rural population aging affect agricultural green development in China?

Lina Xu, Zhaozhe Teng, Yin Liu, Weizhong Liu

Abstract read
In one paragraph

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.

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

4 authors.

Lina XuSchool of Economics and Management, Nanjing Agricultural University, Nanjing, Jiangsu, China.ORCID 0009-0003-3135-6632
Zhaozhe TengSchool of Economics and Management, Nanjing Agricultural University, Nanjing, Jiangsu, China.
Yin LiuSchool of Economics and Management, Nanjing Agricultural University, Nanjing, Jiangsu, China.
Weizhong LiuSchool of Economics and Management, Xinjiang Agricultural University, Urumqi, Xinjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid population aging significantly impacts socioeconomic development and poses substantial challenges for agricultural green development (AGD), which have so far not been well understood. This study uses data from the China Family Panel Studies conducted in 2018, 2020, and 2022 and adopts the instrumental variable two-stage least squares (IV-2SLS) method to analyze the impact and mechanisms of rural population aging on AGD from a micro-level perspective of farmers. The benchmark regression results show that rural population aging significantly hinders AGD: an increase in the proportion of older adults in the household reduces AGD by 0.346. The impact in the western region is greater than that in the central and eastern regions, primarily by restricting improvements in economic benefits (agricultural output). In contrast, its effect on environmental benefits (agricultural chemical inputs) is not statistically significant. The adoption of agricultural socialized services by older adults increases agricultural output while reducing chemical inputs, thereby mitigating the adverse effects of rural population aging on AGD. However, surging service prices discourage utilization, prompting farmers to transfer or abandon part of their farmland and continue traditional resource-intensive practices. Our analysis indicates that it is crucial to establish mechanisms to curb farmland abandonment and enhance the accessibility of agricultural socialized services for older adults in the context of rapid population aging.

Indexed as

AgricultureConservation of Natural ResourcesRural PopulationChinaFarmersHumans

Identifiers

PMID42189855
PMCPMC13210306

What OpenQuestion holds

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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.