Evidence map›Paper›PMID 36901405›Full record

ArticleInternational journal of environmental research and public health2023

Preventing Agricultural Non-Point Source Pollution in China: The Effect of Environmental Regulation with Digitization.

Weikun Zhang, Peng Gao, Zhe Chen, Hailan Qiu

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Article in International journal of environmental research and public health, 2023. 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.

Weikun ZhangSchool of Social and Public Administration, Lingnan Normal University, Zhanjiang 524088, China.ORCID 0000-0002-9983-7788
Peng GaoSchool of Management, Guangdong Ocean University, Zhanjiang 524088, China.
Zhe ChenSchool of Economics & Finance, Zhanjiang University of Science and Technology, Zhanjiang 524088, China.
Hailan QiuSchool of Economics and Management, Jiangxi Agricultural University, Nanchang 330044, China.

Funding

General Project of Humanities and Social Science Research in Colleges and Universities of Jiangxi Province JJ21227Guangdong Philosophy and Social Sciences Planning Youth Project GD22YGL19National Social Science Foundation Youth Project 22CGL027
6 · The paper itself

Abstract

Environmental regulation (ER) is essential to preventing agricultural non-point source pollution (ANSP). Prior research has focused on the effect of ER on agricultural pollution (AP), but little is known about the impact of ER following digitization on preventing AP, particularly ANSP. Based on the spatial heterogeneity, the effect of ER was examined using a geographic detector tool with provincial panel data from 2010 to 2020 in rural China. The results show that ER is a driver in preventing ANSP, primarily because of the constraint on farmers' behavior. Digitization positively affects the prevention of ANSP, as the new impetus for the infrastructure, technology, and capital is supported. The interaction between ER and digitalization forms a driving effect on the prevention of ANSP, indicating that digitalization constitutes the path dependence of farmers' rule acquisition and perception and addresses the "free riding" dilemma of farmers' participation, thereby enabling the incentive of ER to make agricultural production green and efficient. These findings indicate that the endogenous factor of digitization allowing ER is essential to preventing ANSP.

Indexed as

Non-Point Source PollutionAgricultureChinaFarmersHumansTechnologyagricultural non-point source pollutiondigitizationenvironmental regulationgeographic detector tool

Identifiers

PMID36901405
PMCPMC10002442

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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.