Evidence map›Paper›PMID 35564361›Full record

ArticleInternational journal of environmental research and public health2022

Effect of Farmland Scale on Farmers' Application Behavior with Organic Fertilizer.

Yushi Chen, Xinhong Fu, Yuying Liu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Can Higher Land Rentals Promote Soil Conservation of Large-Scale Farmers in China?International journal of environmental research and public health · 2022
    Article
  8. 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.

Yushi ChenCollege of Management, Sichuan Agricultural University, Chengdu 611130, China.
Xinhong FuCollege of Management, Sichuan Agricultural University, Chengdu 611130, China.
Yuying LiuCollege of Management, Sichuan Agricultural University, Chengdu 611130, China.ORCID 0000-0003-1368-4889

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of organic fertilizer is an important measure for improving the quality of agricultural products and realizing the sustainable development of agriculture. The original small-scale family business model in China is no longer suitable for the development of modern agriculture. Large-scale agricultural business has become the mainstream trend, accompanied by the increasingly active land-transfer market. It is, therefore, necessary to determine whether farmland scale influences farmers' organic fertilizer applications in China. Based on the analysis of the influence mechanism of farmland scale on farmers' organic fertilizer application behaviors, empirical tests were conducted using survey data from 812 citrus farmers in Sichuan Province, China. The results show that the large-scale farmers are more likely to apply organic fertilizer and increase the application intensity than small-scale farmers and that the heterogeneity of farmers also affect their organic fertilizer application behavior. The results suggest that the government should encourage farmers to conduct moderate-scale management and promote their application behavior with organic fertilizer by improving awareness, strengthening education and training, and providing financial support.

Indexed as

FarmersFertilizersAgricultureChinaFarmsHumansFertilizersChinacitrus farmerfarmland scaleheterogeneityinstrument variable methodorganic fertilizer

Identifiers

PMID35564361
PMCPMC9105117

What OpenQuestion holds

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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.