Evidence map›Paper›PMID 36011830›Full record

ArticleInternational journal of environmental research and public health2022

Does Cleaner Household Energy Promote Agricultural Green Production? Evidence from China.

Fanghua Li, Wei Liang, Dungang Zang, Abbas Ali Chandio, Yinying Duan

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Fanghua LiCollege of Economics, Sichuan Agricultural University, Chengdu 611130, China.
Wei LiangSchool of Business & Tourism, Sichuan Agricultural University, Chengdu 611830, China.
Dungang ZangCollege of Economics, Sichuan Agricultural University, Chengdu 611130, China.ORCID 0000-0003-1965-316X
Abbas Ali ChandioCollege of Economics, Sichuan Agricultural University, Chengdu 611130, China.ORCID 0000-0001-8706-9681
Yinying DuanSchool of Business & Tourism, Sichuan Agricultural University, Chengdu 611830, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cleaner household energy for agricultural green production can significantly alleviate energy poverty and food security, thus contributing to global sustainable development. Using survey micro-data collected from Sichuan Province, the ordered probit model, OLS model, and instrumental variables approach were applied for empirical analysis. The results show that: (1) cleaner household energy significantly enhances farmer's agricultural green production awareness and improves agricultural green production levels, which is still significant after treating endogenous issues with the conditional mixing process estimation method and 2SLS model; (2) health plays a partially mediating effect of cleaner household energy on agricultural green production awareness and agricultural green production levels; (3) environmental protection awareness and digital literacy have a moderating effect and reinforce the positive impact of cleaner household energy on agricultural green production awareness and agricultural green production levels. This research suggests that governments can enhance the impact of cleaner household energy on agricultural green production through price and subsidy mechanisms.

Indexed as

AgricultureFamily CharacteristicsChinaPovertySustainable Developmentagricultural green production awarenessagricultural green production levelcleaner household energyiv-o-probit modelSichuan Province

Identifiers

PMID36011830
PMCPMC9408079

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.