Evidence map›Paper›PMID 38972877›Full record

ArticleScientific data2024

A comprehensive city-level final energy consumption dataset including renewable energy for China, 2005-2021.

Guanglei Yang, Guoxing Zhang, Dongqin Cao, Xiulin Gao, Xiaojuan Wang, Shaowen Yang, Pansong Jiang, Donglan Zha, Yuli Shan

Abstract read
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

9 authors.

Guanglei YangSchool of Management, Lanzhou University, Lanzhou, 730000, China.
Guoxing ZhangSchool of Management, Lanzhou University, Lanzhou, 730000, China.
Dongqin CaoSchool of Economics, Lanzhou University, Lanzhou, 730000, China.
Xiulin GaoSchool of Management, Lanzhou University, Lanzhou, 730000, China.
Xiaojuan WangCollege of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China.
Shaowen YangCollege of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China.
Pansong JiangCollege of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China.
Donglan ZhaCollege of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China. zdl@nuaa.edu.cn.
Yuli ShanSchool of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, B152TT, United Kingdom. y.shan@bham.ac.uk.ORCID http://orcid.org/0000-0002-5215-8657

Funding

National Natural Science Foundation of China (National Science Foundation of China) 72034003National Natural Science Foundation of China (National Science Foundation of China) 72074111National Natural Science Foundation of China (National Science Foundation of China) 72243006
6 · The paper itself

Abstract

The role of China is increasingly pivotal in climate change mitigation, and the formulation of energy conservation and emission reduction policies requires city-level information. The effectiveness of national policy implementation is contingent upon the support and involvement of local governments. Accurate data on final energy consumption is vital to formulate and implement city-level energy transitions and energy conservation and emission reduction policies. However, there is a dearth of data sources pertaining to China's city-level final energy consumption. To address these gaps, we developed computational modeling techniques along with top-down and downscaling methods to estimate China's city-level final energy consumption. In this way, we compiled a final energy consumption inventory for 331 Chinese cities from 2005 to 2021, covering seven economic sectors, 30 fossil fuels, and four clean power sources. Moreover, we discussed the validity of the estimation results from multiple perspectives to enhance estimation accuracy. This dataset can be utilized for analysis in various cutting-edge research fields such as energy transition dynamics, transition risk management strategies, and policy formulation processes.

Identifiers

PMID38972877
PMCPMC11228046

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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.