Evidence map›Paper›PMID 41315307›Full record

ArticleScientific data2025

Digital supply, use, and input-output tables for China from 2000 to 2020.

Kailan Tian, Kang Lin, Yu Zhang, Xiaolin Wang, Wenze Chen, Cuihong Yang

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Kailan TianState Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, China. tiankailan12@163.com.ORCID http://orcid.org/0000-0003-2405-9587
Kang LinSchool of Management, Xi'an Jiaotong University, Xi'an, 710049, China. linkang96@xjtu.edu.cn.
Yu ZhangYangtze Industrial Development Institute, Nanjing University, Nanjing, 210093, China. zhangyu96@nju.edu.cn.
Xiaolin WangState Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, China.
Wenze ChenState Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, China.
Cuihong YangState Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, China. chyang@iss.ac.cn.ORCID http://orcid.org/0000-0002-4340-713X

Funding

National Natural Science Foundation of China (National Science Foundation of China) 72373141National Natural Science Foundation of China (National Science Foundation of China) 72403115
6 · The paper itself

Abstract

The explicit impacts of digital economy often remain invisible in conventional national statistics, limiting opportunities for comprehensive social, economic, environmental, and interdisciplinary research. To enhance the visibility of digitalisation in macroeconomic statistics and address the growing demand for a robust research database, we proposed an innovative framework for digital supply and use tables (SUTs). Using the framework, we compiled a series of digital SUTs and input-output tables (IOTs) for China, consisting of 14 digital products, 40 digitalised conventional products, and 40 non-digitalised conventional products, and covering the period from 2000 to 2020. Building on conventional SUTs, our digital SUTs incorporate both digital products/industries and the digitalisation of conventional sectors. Importantly, our methodology is adaptable to other national and global digital SUTs and IOTs datasets, provided the necessary data is available.

Identifiers

PMID41315307
PMCPMC12663305

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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.