The Digital Economy, Integration of Productive Services and Manufacturing, and High-Quality Development of the Manufacturing Sector: Evidence from China DOI Open Access
Aiqin Zhang, Wenjie Zhang, Xiaoqiang Guo

и другие.

Sustainability, Год журнала: 2024, Номер 16(23), С. 10258 - 10258

Опубликована: Ноя. 23, 2024

The rapid penetration of digital technologies into the manufacturing sector has profoundly impacted development China’s industry. This study aims to explore role economy (DE) in promoting high-quality and reveal specific mechanisms through which it enhances sustainability manufacturing. Using panel data from 30 provinces across China for 2012–2022, this employs an econometric model conduct empirical analysis. results indicate that DE significantly fosters (HQMD), particularly eastern central regions. Furthermore, by integration productive services with (IPSIM), accelerates advancements HQMD. threshold effect analysis unveils a nonlinear relationship between Based on these findings, policy recommendations are proposed encourage balanced regional growth, strengthen innovation capacities, catalyze IPSIM. These insights provide critical implications advancing sector.

Язык: Английский

Global digital transformation: discovering the impact of digitalization on income inequality in OECD countries, the moderating role of globalization DOI
Emmanuel Baffour Gyau, Yaya Li, Michael Appiah

и другие.

Economic Change and Restructuring, Год журнала: 2025, Номер 58(1)

Опубликована: Янв. 3, 2025

Язык: Английский

Процитировано

1

Climate physical risks: catalyst or constraint for the convergence of the digital and low-carbon economies? DOI Creative Commons

Ya Ru Cui,

Bo Yang

Data Science and Management, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

The impact of digitalization and foreign direct investment on income inequality: Implications for human resource quality in the digital age DOI

Linh Do,

Hien Tran,

Lê Khương Ninh

и другие.

International Journal of Research Studies in Education, Год журнала: 2025, Номер 14(2)

Опубликована: Фев. 15, 2025

Язык: Английский

Процитировано

0

Impacting of China's Digital Aid on Income Inequality: Evidences from 127 Developing Economies DOI
Rui Wang, Shanshan Yang

Economic Analysis and Policy, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Taxing Automation in Africa: Balancing Innovation and Socio-Economic Equality in the Fourth Industrial Revolution DOI Creative Commons

Mziwendoda Cyprian Madwe,

Phaswana Frans Mmatli,

Alexander Oluka

и другие.

International Journal of Applied Research in Business and Management, Год журнала: 2025, Номер 6(1)

Опубликована: Янв. 1, 2025

The implementation of artificial intelligence (AI) and robotics is transforming nations worldwide, triggering discussion about their socio-economic impacts appropriate regulatory responses. While extensively debated in developed economies, this issue remains underexplored Africa- a region facing unique developmental challenges opportunities. This systematic review explores the implications automation, AI on income inequality, employment taxation policies, focusing literature published between 2017 2024. For purpose, as search was carried out Scopus Google Scholar databases. A total 78 papers were found, after analysing them according to PRISMA Statement 2020, 36 selected. indicates that automation excessively impact low-skilled employees, worsening disparity, while high-skilled workers benefit from increased salaries. Moreover, analysis robot investment higher education are potential interventions mitigate these adverse effects technological innovation. suggests government policymakers should consider tax policies fund educational institutions equip citizens with skills needed digital age. paper offers practical insights for labour force advances understanding by proposing framework addressing automation-driven inequality internationally.

Язык: Английский

Процитировано

0

DIGITAL TRANSFORMATION OF ECONOMIES THROUGH TECHNOLOGY, EDUCATION AND COMPETENCES DOI Open Access
Kristīne Užule, Zanda Gobniece, Jeļena Titko

и другие.

Problems of Education in the 21st Century, Год журнала: 2024, Номер 82(5), С. 758 - 774

Опубликована: Окт. 10, 2024

Digital transformation has profoundly impacted social and economic life by enhancing workforce competences, fostering innovation, creating competitive advantages. Given that the driving force of digital is technology, this study aimed to determine whether education competences are perceived as essential factors in narrative across diverse fields socioeconomic development at both macro micro levels. To achieve this, 528 abstracts from various scientific focused on were analyzed using manifest latent content analyses, latter ensuring a more objective interpretation outcomes derived analysis. Frequency, word linkage, concordance analyses key concepts used. The results indicated viewed vital for digitalization sectors economy macro- micro-level development. findings suggest technology drives delivering different types value, including innovation sustainability, while relying technology-related competences. also revealed concerns about barriers implementation, which could be overcome through originality research lies its application identify roles transformation. Keywords: transformation, education, macro-level development,

Язык: Английский

Процитировано

0

The Digital Economy, Integration of Productive Services and Manufacturing, and High-Quality Development of the Manufacturing Sector: Evidence from China DOI Open Access
Aiqin Zhang, Wenjie Zhang, Xiaoqiang Guo

и другие.

Sustainability, Год журнала: 2024, Номер 16(23), С. 10258 - 10258

Опубликована: Ноя. 23, 2024

The rapid penetration of digital technologies into the manufacturing sector has profoundly impacted development China’s industry. This study aims to explore role economy (DE) in promoting high-quality and reveal specific mechanisms through which it enhances sustainability manufacturing. Using panel data from 30 provinces across China for 2012–2022, this employs an econometric model conduct empirical analysis. results indicate that DE significantly fosters (HQMD), particularly eastern central regions. Furthermore, by integration productive services with (IPSIM), accelerates advancements HQMD. threshold effect analysis unveils a nonlinear relationship between Based on these findings, policy recommendations are proposed encourage balanced regional growth, strengthen innovation capacities, catalyze IPSIM. These insights provide critical implications advancing sector.

Язык: Английский

Процитировано

0