Evidence map›Paper›PMID 40478983›Full record

ArticleJournal of the knowledge economy2023

Can Digitalization Improve the High-quality Development of Manufacturing? An Analysis Based on Chinese Provincial Panel Data.

Lianghu Wang, Jun Shao

Abstract read
In one paragraph

Article in Journal of the knowledge economy, 2023. 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

2 authors.

Lianghu WangSchool of Economics and Management, Southeast University, Nanjing, 211189 China.
Jun ShaoSchool of Economics and Management, Southeast University, Nanjing, 211189 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digitalization plays a pivotal role in enhancing manufacturing quality development and upgradation, helping translate transformation goals. The available literature has explored the impact of high-quality development in manufacturing, but the impact of digitalization and the underlying mechanism still needs to be systematically studied. This study aims to verify the impact of digitalization on the high-quality development of manufacturing employing dynamic panel data and a quantile regression model on China's provincial panel data between 2011 and 2020. The results indicated that high-quality manufacturing development showed a fluctuating rising trend with insignificant regional differences, with no apparent trend with a significant difference in the eastern region compared to the central and western regions. The nonlinear effect analysis results revealed that digitalization significantly promoted high-quality development in manufacturing with a more prominent effect at 50% quantile. Digitalization showed significant and heterogenous results in eastern region data compared to other regions, cementing the importance of digitalization in high-quality manufacturing development. This research also empirically enriches the discussion on the relationship between digitalization and the high-quality manufacturing development of industries providing meaningful insight into policy implications for improving the high-quality level of the manufacturing industry and achieving sustainable economic development.

Indexed as

ChinaDigitalizationEntropy TOPSISHigh-quality development of manufacturing

Identifiers

PMID40478983
PMCPMC10012321

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.