Evidence map›Paper›PMID 34355318›Full record

ArticleEnvironmental science and pollution research international2022

Study on the impact of environmental pollution on farmland abandonment.

Haipeng Chen, Qianling Shen, Dungang Zang, Houjian Li, Yaya Sow

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Article in Environmental science and pollution research international, 2022. 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

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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

5 authors.

Haipeng ChenSchool of Economics, Sichuan Agricultural University, Chengdu, 611130, China.
Qianling ShenSchool of Economics, Sichuan Agricultural University, Chengdu, 611130, China. qianling@sicau.edu.cn.
Dungang ZangSchool of Economics, Sichuan Agricultural University, Chengdu, 611130, China.
Houjian LiSchool of Economics, Sichuan Agricultural University, Chengdu, 611130, China.
Yaya SowSchool of Economics, Sichuan Agricultural University, Chengdu, 611130, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Farmland abandonment, as a manifestation of the low efficiency of the rural economy, has a profound impact on the process of agricultural and rural modernization. This study uses the 2016 China Labor Force Dynamic Survey data based on 8116 samples from 104 cities, constructs the Tobit model and IV Tobit model to analyze the land abandonment quantitatively from the perspective of environmental pollution. The results show that (1) environmental pollution can significantly increase the probability and area of land abandonment, (2) there is significant regional heterogeneity in the impact of environmental pollution on land abandonment, (3) the impact of environmental pollution on land abandonment varies significantly with different family sizes and land management scales, but the land management scale is relatively more sensitive. This study provides a deeper understanding of the relationship between environmental pollution and land abandonment in China and provides a basis for formulating relevant policies to strengthen the treatment of environmental pollution to solve the dilemma of land abandonment, which is of great practical significance to sustainable development of rural economy and the guarantee of food security in China.

Indexed as

AgricultureEnvironmental PollutionChinaCitiesFarmsHumansEnvironmental pollutionFamily sizeLand abandonmentLand management scaleRegional heterogeneity

Identifiers

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Read underepoch 390

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.