Quantitative Evaluation of China's Digital Economy Regulation Texts based on PMC Index Modeling DOI
Jiyuan Tan, Yufeng Lu,

Dan Long

и другие.

Journal of management and social development., Год журнала: 2024, Номер 1(3), С. 291 - 302

Опубликована: Май 1, 2024

The regulation landscape of the digital economy plays a pivotal role in guiding its evolution, garnering significant attention from nations globally. Leveraging text mining techniques and PMC index model, this study conducts quantitative assessment analysis China's documents. By constructing comprehensive system encompassing nine primary variables 41 secondary variables, integrating with surface, we gain insights into regulations effectiveness. Our findings reveal that among 18 selected Chinese regulations' samples, six are exceptional, eight commendable, four satisfactory. This signifies for development possess considerable level scientific rigor feasibility, along high degree coherence. Through mining, research establishes more evaluation employs model to quantitatively assess regulations, thereby minimizing subjectivity evaluation.

Язык: Английский

Digital transformation and corporate innovation boundaries: Role of supply chain concentration and transparency DOI
Pengcheng Li, Xiaochuan Guo,

F. Wang

и другие.

International Review of Financial Analysis, Год журнала: 2025, Номер 98, С. 103922 - 103922

Опубликована: Янв. 10, 2025

Язык: Английский

Процитировано

3

Blockchain applications and corporate green development: evidence from China DOI
Xing Fang

Environment Development and Sustainability, Год журнала: 2025, Номер unknown

Опубликована: Март 9, 2025

Язык: Английский

Процитировано

0

Macro-level insights into the digital economy: topic identification and trend analysis DOI
Xiaorong He,

Zhao Hong-yu

Applied Economics, Год журнала: 2025, Номер unknown, С. 1 - 18

Опубликована: Апрель 8, 2025

Язык: Английский

Процитировано

0

Curvilinear effect of policy intensity on innovation performance in the integrated circuit industry: Too much of a good thing? DOI
Tianchi Wang,

Ting Sun,

Chen Qiu-ling

и другие.

Economic Analysis and Policy, Год журнала: 2024, Номер 82, С. 1337 - 1352

Опубликована: Май 19, 2024

Язык: Английский

Процитировано

1

Effect of Digital Transformation in Sports Companies on Green Innovation: Evidence from Listed Companies in China DOI Open Access
Yina Zhang, Wu Zhao, Haiman Liu

и другие.

Sustainability, Год журнала: 2024, Номер 16(19), С. 8346 - 8346

Опубликована: Сен. 25, 2024

In the context of “dual carbon” strategic goal and sustainable development, digital transformation sports companies has emerged as a crucial factor in overcoming barriers to green growth addressing institutional efficiency challenges. This study examines mechanism by which drives innovation, using sample Chinese-listed industry from 2011 2022. Fixed effects models were employed. The study’s findings are follows: (1) Digital significant positive impact on indicating that digitalization plays role promoting practices. (2) A analysis revealed facilitates innovation enhancing human capital improving internal control levels. (3) heterogeneity demonstrated stricter environmental regulations strengthen driving effect transformation. Moreover, state-owned exhibit stronger endogenous impetus for than non-state-owned companies, driven their alignment with national planning, thus contributes literature offering insights into integration digitization innovation. Furthermore, it provides practical guidance path selection achieving coordinated Chinese within framework goal.

Язык: Английский

Процитировано

1

Quantitative Evaluation of China's Digital Economy Regulation Texts based on PMC Index Modeling DOI
Jiyuan Tan, Yufeng Lu,

Dan Long

и другие.

Journal of management and social development., Год журнала: 2024, Номер 1(3), С. 291 - 302

Опубликована: Май 1, 2024

The regulation landscape of the digital economy plays a pivotal role in guiding its evolution, garnering significant attention from nations globally. Leveraging text mining techniques and PMC index model, this study conducts quantitative assessment analysis China's documents. By constructing comprehensive system encompassing nine primary variables 41 secondary variables, integrating with surface, we gain insights into regulations effectiveness. Our findings reveal that among 18 selected Chinese regulations' samples, six are exceptional, eight commendable, four satisfactory. This signifies for development possess considerable level scientific rigor feasibility, along high degree coherence. Through mining, research establishes more evaluation employs model to quantitatively assess regulations, thereby minimizing subjectivity evaluation.

Язык: Английский

Процитировано

0