Evidence map›Paper›PMID 39496787›Full record

ArticleNature food2024

Inequality in agricultural greenhouse gas emissions intensity has risen in rural China from 1993 to 2020.

Xiangbo Xu, Qiran Zhao, Jianbing Guo, Chang Li, Jing Li, Kunyu Niu, Shuqin Jin, Chao Fu, Paul P J Gaffney, Yan Xu and 7 more

Abstract read
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In one paragraph

Article in Nature food, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

17 authors.

Xiangbo Xu *Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0003-4984-7950
Qiran Zhao *College of Economics and Management, China Agricultural University, Beijing, China.ORCID 0000-0003-1526-2057
Jianbing GuoSchool of Agricultural Economics and Rural Development, Renmin University of China, Beijing, China.
Chang LiKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Jing LiKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Kunyu NiuInstitute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing, China.ORCID 0000-0003-4353-7783
Shuqin JinResearch Center for Rural Economy, Ministry of Agriculture and Rural Affairs, Beijing, China.
Chao FuKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0001-6869-2400
Paul P J GaffneyKey Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0002-5587-7622
Yan XuKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Mingxing SunKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Yinghao XueRural Energy and Environment Agency, Ministry of Agriculture and Rural Affairs, Beijing, China.
Dunhu ChangSchool of Environment and Natural Resources, Renmin University of China, Beijing, China.
Yumei ZhangCollege of Economics and Management, China Agricultural University, Beijing, China.ORCID 0009-0006-7106-832X
Wei SiCollege of Economics and Management, China Agricultural University, Beijing, China.
Shenggen FanCollege of Economics and Management, China Agricultural University, Beijing, China. S.FAN@CGIAR.ORG.ORCID 0000-0003-2289-3543
Linxiu ZhangKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China. lxzhang.ccap@igsnrr.ac.cn.ORCID 0000-0002-8386-0350

Funding

National Natural Science Foundation of China (National Science Foundation of China) 72374190, 41901255, 7231101308
6 · The paper itself

Abstract

Reducing greenhouse gas (GHG) emissions in crop production while ensuring emission equity is crucial for sustainable agriculture in China, yet long-term large-scale data on GHG emissions intensity (GEI) are limited. Using an extensive dataset based on surveyed farm households (n > 430,000 households) from 1993 to 2020, we reveal that 2015 was a turning point for GEI levels, which dropped 16% in 2020, while inequality-measured as average GHG emissions per unit planted area-increased 13%. The key driving forces behind such trends included farmland input, all other inputs, agricultural labour input and total factor productivity but not capital input. Notably, farmland input and all other inputs contributed to 80% of the inequality, while contribution of total factor productivity gradually declined and was replaced by migration-induced agricultural labour input differences. Reducing GEI levels and guarding against widening inequality require optimizing production factor inputs.

Indexed as

AgricultureGreenhouse GasesRural PopulationChinaHumansSocioeconomic FactorsGreenhouse Gases

Identifiers

What OpenQuestion holds

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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.