Evidence map›Paper›PMID 40425670›Full record

ArticleScientific reports2025

Spatial and temporal evolution characteristics of apple carbon emissions in China, 1991-2020.

Qiangqiang Zhang, Xixi Gao, Yujie Hu, Zhongwei He, Xiaojing Li

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

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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

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.

Qiangqiang ZhangBeijing Research Center for Rural Revitalization/College of Economics and Management, Beijing University of Agriculture, Beijing, 102206, China.
Xixi GaoFaculty of Applied Economics, University of Chinese Academy of Social Sciences, Beijing, 102488, China. gaoxixi@ucass.edu.cn.
Yujie HuSchool of Business, University of Leeds, Leeds, UK.
Zhongwei HeBeijing Research Center for Rural Revitalization/College of Economics and Management, Beijing University of Agriculture, Beijing, 102206, China. hzw28@126.com.
Xiaojing LiSchool of Economics and Management, Yantai University, Yantai, 264005, China. ydlxj@ytu.edu.cn.

Funding

2023 Beijing Social Science Foundation Key Project 23JCB027Beijing Municipal Education Science '14th Five-Year Plan' 2024 Subjects BCDA24141Prosperous Social Science Action Plan Project of Beijing University of Agriculture FRSK-2024-005the Humanities and Social Sciences Youth Foundation, Ministry of Education of China 22YJC790164the Industry-university-research Collaborative Project for 2023 by Yan'an University of Rural Development Institute YDRDI202301the Promotion Plan of Young Teachers' Scientific Research and Innovation Ability in Beijing University of Agriculture QJKC-2023020Young Innovation Team of Shandong Higher Education Institutions 2024KJL029
6 · The paper itself

Abstract

Articulating the spatial and temporal features of apple carbon emissions in China across different years and areas is critical for developing an appropriate and acceptable apple carbon reduction program. This paper builds a provincial-level database (1991-2020) of apple carbon emissions in China, covering six primary sources: chemical fertilizers, pesticides, plastic films, machinery, irrigation, and tillage. By using the LMDI approach, spatial autocorrelation analysis, and barycenter analysis, we find that (1) China's apple carbon emissions exhibited an M-shaped fluctuation pattern, with a 1.38-fold increase during the study period, while apple carbon intensity increased 67.01%. (2) Chemical fertilizers were the largest contributor (55%) to apple carbon emissions, followed by plastic films, irrigation, pesticides, machinery, and tillage. (3) Apple carbon emissions showed significant regional heterogeneity, with a spatial pattern of the Bohai Bay production area as the largest in terms of carbon emissions and carbon intensity. While chemical fertilizers were the primary contributor in the other four production areas, plastic films had a disproportionately high impact in Bohai Bay production area. Moreover, 13 provinces increased their carbon emissions, while 9 provinces reduced. Chemical fertilizers, plastic films and irrigation were dominant contributing factors in 14, 5, and 3 provinces, respectively. (4) There is no significant spatial association between surrounding provinces in apple carbon emissions. Spatial correlations reveal a "high-low" or "low-high" agglomeration of negative values during certain individual years. In 2020, the barycenter of apple carbon emissions migrated southwestward 451.69 km, reaching Shaanxi Province. This article recommends promoting organic fertilizers, water-fertilizer integration, mulch recycling, straw mulching, and drip irrigation to minimize apple carbon emissions. Additionally, region-specific emission reduction strategies should be developed, with particular emphasis on Shaanxi and Gansu, considering their distinct spatial and temporal characteristics.

Indexed as

Apple carbon emissionsChinaRegional differencesSpatial effectsTemporal characteristics

Identifiers

PMID40425670
PMCPMC12117149

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