Evidence map›Paper›PMID 40594012›Full record

ArticleScientific reports2025

Impact of agricultural machinery input on agricultural green production efficiency in the YREB from a spatial spillover perspective.

Shuwen Guo, Xu Tang

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

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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

2 authors.

Shuwen GuoCollege of Economics and Management, Central South University of Forestry and Technology, Changsha, 410004, Hunan, China.
Xu TangCollege of Economics and Management, Central South University of Forestry and Technology, Changsha, 410004, Hunan, China. 10994254@qq.com.

Funding

Hunan Natural Science Foundation 2021JJ31169Postgraduate teaching reform project 2023JGYB162
6 · The paper itself

Abstract

Agricultural machinery input (AMI) plays a crucial role in promoting agricultural green development and advancing agricultural modernization. Based on panel data from 130 cities in the Yangtze River Economic Belt (YREB) from 2013 to 2022, we employ the spatial Durbin model for empirical analysis and draws the following. (1) The AMI in the YREB promotes local agricultural green production efficiency (AGPE) but inhibits that of neighboring areas. Moreover, with the increase in AMI, the impacts exhibit an "inverted U-shaped" and "U-shaped" trend, respectively. (2) The positive direct impact of AMI on AGPE is smaller than its negative spillover effect. (3) The expansion of agricultural operation scale (AOS) and the increase in grain yield per unit area (GYPUA) facilitate AMI in promoting local AGPE. Moreover, the expansion of AOS mitigates the negative impact of AMI on the AGPE of neighboring areas. (4) Notably, a threshold effect exists in the relationship between AMI and AGPE for both AOS and GYPUA. When AOS and GYPUA exceed certain threshold values, the promoting effect of AMI on AGPE is further strengthened. (5) Heterogeneity analysis shows that AMI in the upper, middle, and lower reaches of the YREB exhibits distinct patterns. Based on these findings, the following policy recommendations are proposed: establishing an agricultural machinery information service platform, strengthening vocational education and training for farmers, increasing support for energy-efficient and environmentally friendly agricultural machinery, and promoting land transfer.

Indexed as

Agricultural green production efficiencyAgricultural machinery inputModerating effectSpatial Durbin modelThreshold effect

Identifiers

PMID40594012
PMCPMC12217340

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.