Evidence map›Paper›PMID 40069147›Full record

ArticleScientific data2025

Crop-specific embodied greenhouse gas emissions inventory for 28 staple crops in China from 2007 to 2017.

Wei Zhen, Yujie Tang, Heyang Wang, Quande Qin

Abstract read
In one paragraph

Article in Scientific data, 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

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

4 authors.

Wei ZhenSchool of Economics, Zhejiang University of Finance and Economics, Hangzhou, 310018, China.
Yujie TangSchool of Economics, Zhejiang University of Finance and Economics, Hangzhou, 310018, China.
Heyang WangSchool of Economics, Zhejiang University of Finance and Economics, Hangzhou, 310018, China.
Quande QinCollege of Management, Shenzhen University, Shenzhen, 518060, China. qinquande@gmail.com.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 71904128National Natural Science Foundation of China (National Science Foundation of China) 72174124
6 · The paper itself

Abstract

Rapid economic development and population growth have driven significant greenhouse gas (GHG) emissions from China's crop farming. Understanding specific features of these emissions is crucial for developing effective mitigation strategies. While existing studies primarily focused on accounting for GHG emissions at the entire crop farming system level, a critical gap exists in systematic measurements at individual crop level. This study addresses this gap by constructing a high-resolution China's provincial crop-specific embodied GHG emission inventory for years 2007, 2010, 2012, 2015, and 2017. The inventory quantifies embodied GHG emissions per unit yield and per unit area for 28 staple crops across 30 Chinese provinces, providing insights into status and structure of emissions across diverse crops and regions. The results demonstrate significant disparities in crop-specific embodied GHG emissions, with grain crops exhibiting higher emissions than cash crops-1.51 times greater per unit area and 0.86 times greater per unit yield on average. This dataset offers information for formulating effective emission mitigation strategies for crop farming in China.

Identifiers

PMID40069147
PMCPMC11897183

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.