Evidence map›Paper›PMID 36901199›Full record

ArticleInternational journal of environmental research and public health2023

Impact of Digital Village Construction on Agricultural Carbon Emissions: Evidence from Mainland China.

Yue Zhang, Mengwei Feng, Zhengshuai Fang, Fujin Yi, Zhenzhen Liu

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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

5 authors.

Yue ZhangSchool of Management, Hebei University, Baoding 071002, China.
Mengwei FengSchool of Management, Hebei University, Baoding 071002, China.
Zhengshuai FangSchool of Management, Hebei University, Baoding 071002, China.
Fujin YiSchool of Public Affairs, Zhejiang University, Hangzhou 310058, China.
Zhenzhen LiuCollege of Economics and Management, Nanjing Agricultural University, Nanjing 210095, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reducing agricultural carbon emissions is required to reach the goal of carbon neutrality and mitigate the effects of climate change. With the advent of the digital economy, we aimed to determine if digital village construction can achieve carbon reduction in agriculture. As such, in this study, we used balanced panel data for 30 provinces in China from 2011 to 2020 to conduct an empirical analysis based on measuring the digital village construction level in each province. We found the following: Firstly, digital village construction is conducive to reducing the carbon emitted from agriculture, and the results of further tests showed that the carbon reduction effect of digital villages is mainly based on the reduction in carbon emissions from chemical fertilisers and pesticides. Secondly, the digital village construction has a stronger inhibiting effect on agricultural carbon emissions in major grain-producing areas than in non-major grain-producing areas. The level of rural human capital is the limiting condition for digital village construction to enable green agricultural development; in areas with higher levels of human capital, digital village construction has a significant inhibiting effect on agricultural carbon emissions. The above conclusions are valuable for the future promotion of digital village construction and the design of a green development model for agriculture.

Indexed as

CarbonPesticidesAgricultureCarbon DioxideChinaEconomic DevelopmentHumansRural PopulationCarbonCarbon DioxidePesticidesagricultural carbon emissionsagricultural green developmentdigital villagemainland Chinanonagricultural employment

Identifiers

PMID36901199
PMCPMC10002245

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Registered trials

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