ArticlePloS one2023
Unleashing the horizons of labor quality, digitalization on upgradation of industrial structure in Asian economies.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Article
- Unleashing the behavioral factors affecting the decision making of Chinese investors in stock markets.PloS one · 2024Article
- Unveiling the Nexus: Influence of learning motivation on organizational performance and innovative climate of Chinese firms.PloS one · 2024Article
- Unveiling the affecting mechanism of digital transformation on total factor productivity of Chinese firms.PloS one · 2024Article
- Retraction: Unleashing the horizons of labor quality, digitalization on upgradation of industrial structure in Asian economies.PloS one · 2024Article
- Role of scientific and technological innovations on industrial upgradation in China: A spatial econometric analysis.PloS one · 2024Article
- Factors affecting the green investment and assessing sustainable performance of firms in China.PloS one · 2023Article
Corrections and comments
- Retraction · 2024-11-11Concerns/Issues about Authorship/Affiliation · Concerns/Issues about Data · Concerns/Issues about Peer Review · Compromised Peer Review · Investigation by Journal/Publisher · Objections by Author(s) · Unreliable Results and/or Conclusions ·
- Retracted
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A country's industrial structure plays a pivotal role in determining its competitiveness, growth, and sustainability. Recently, many Asian countries have experienced significant economic upgradation and transformation and have emerged as major players in global trade. It is crucial to understand the factors contributing in upgradation of industrial structure of Asian economies for their continuous progress and it is little focused in literature. This study explores the effect of labor quality and digitalization on the upgradation of the industrial structure in 32 Asian countries covering the time period from 2010-2021. Multiple econometric techniques are applied for a comprehensive analysis of data, and the findings show that high-quality labor has a positive contribution to upgrading the industrial structure. Moreover, digitalization upgrades the industrial structure by improving connectivity, fostering collaboration, and enhancing productivity. Based on the findings of this study, Asian countries should prioritize investments in education and skill development to enhance human capital quality. Additionally, they should promote policies that facilitate digitalization, including investments in digital infrastructure, the development of digital skills, and the creation of a supportive regulatory environment. Thus, Asian countries can accelerate the upgradation of their industrial structure, leading to sustainable economic growth, increased competitiveness, and improved living standards.
Indexed as
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Registered trials
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.