Evidence map›Paper›PMID 40596138›Full record

ArticleScientific reports2025

Study on the impact of new quality productive forces on agricultural green production efficiency.

Xiankai Lei, Wenli Zhao, Hui Du

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Xiankai LeiBusiness School, Xinyang Normal University, Xinyang, 464000, China. leixiankai@xynu.edu.cn.
Wenli ZhaoBusiness School, Xinyang Normal University, Xinyang, 464000, China.
Hui DuBusiness School, Xinyang Normal University, Xinyang, 464000, China.

Funding

Henan Province Philosophy and Social Science Youth Project 2024CJJ205Henan Province Postgraduate Education Reform and Quality Improvement Project YJS2022JD30Henan Province Soft Science Research Project 252400411208
6 · The paper itself

Abstract

The development of new quality productive forces provides an innovative pathway for China's high-quality agricultural development and the construction of an agricultural powerhouse. Utilizing panel data from 18 prefecture-level cities in Henan Province, China (2001-2021), this study systematically examines the impact mechanisms and spatial heterogeneity characteristics of new quality productive forces on agricultural green production efficiency through fixed-effects models and threshold regression approaches. The findings indicate that new quality productive forces exerts a significant positive driving effect on agricultural green production efficiency, with conclusions remaining robust across multiple robustness tests. Mechanism analysis reveals that technological innovation capacity plays a substantial mediating role in this relationship. Regional heterogeneity tests demonstrate pronounced promotional effects in Northern Henan and Western Henan, whereas impacts on Eastern Henan and Central Henan lack statistical significance. Threshold models further identify nonlinear enhancement characteristics of the promotional effect when agricultural machinery input intensity crosses specific thresholds, with dual-threshold effects observed. Based on this, some suggestions were put forward to improve the ability of scientific and technological innovation and promote the development of agricultural green environmental protection.

Indexed as

Agricultural green production efficiencyNew quality productive forcesThreshold effect

Identifiers

PMID40596138
PMCPMC12216837

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.