Synergistic abatement effects of Broadband China and environmental regulation: Firm-level evidence DOI
Dongyang Zhang,

Dingchuan Bai,

Yurun He

и другие.

International Review of Financial Analysis, Год журнала: 2024, Номер 96, С. 103750 - 103750

Опубликована: Ноя. 1, 2024

Язык: Английский

Digital transformation and manufacturing companies’ ESG responsibility performance DOI
Haijun Wang,

Shuaipeng Jiao,

Kun Bu

и другие.

Finance research letters, Год журнала: 2023, Номер 58, С. 104370 - 104370

Опубликована: Авг. 29, 2023

Язык: Английский

Процитировано

105

Digital economy policy and corporate low-carbon innovation: Evidence from a quasi-natural experiment in China DOI
Ahmed Imran Hunjra, Shikuan Zhao, John W. Goodell

и другие.

Finance research letters, Год журнала: 2023, Номер 60, С. 104910 - 104910

Опубликована: Дек. 20, 2023

Язык: Английский

Процитировано

42

Does the nexus of corporate social responsibility and green dynamic capabilities drive firms toward green technological innovation? The moderating role of green transformational leadership DOI
Jawad Abbas

Technological Forecasting and Social Change, Год журнала: 2024, Номер 208, С. 123698 - 123698

Опубликована: Авг. 20, 2024

Язык: Английский

Процитировано

24

Toward the role of organizational culture in data-driven digital transformation DOI
Arman Ghafoori, Manjul Gupta, Mohammad I. Merhi

и другие.

International Journal of Production Economics, Год журнала: 2024, Номер 271, С. 109205 - 109205

Опубликована: Март 19, 2024

Язык: Английский

Процитировано

16

How does digital transformation empower knowledge creation? Evidence from Chinese manufacturing enterprises DOI Creative Commons
Yufen Chen, X. Pan, Pian Liu

и другие.

Journal of Innovation & Knowledge, Год журнала: 2024, Номер 9(2), С. 100481 - 100481

Опубликована: Март 23, 2024

Knowledge creation is the foundation for indigenous innovation in manufacturing enterprises; however, effects of digital transformation on knowledge are still not well understood. Nonaka put forward model creation, which includes four processes: socialization, externalization, combination, and internalization, known as famous SECI model. Based model, this study analyzes processes, using panel data from Chinese listed enterprises 2007 to 2020. The provides several novel findings. First, positively affects all with combination capability being particularly notable. Second, digitalization inputs externalization insignificant but exert a negative impact socialization internalization. Third, heterogeneity analysis reveals that facilitating effect more significant state-owned large enterprises. Moreover, it primarily acts "cherry top," significantly benefiting already have strong capabilities. A low level technology development region where an enterprise located will inhibit role promoting socialization. Furthermore, culture regional environments play positive moderating roles. This contributes further understanding how enterprises' activities.

Язык: Английский

Процитировано

16

Exploring the Mechanisms and Pathways Through Which the Digital Transformation of Manufacturing Enterprises Enhances Green and Low-Carbon Performance Under the “Dual Carbon” Goals DOI Open Access
Jun Liu, Peng Zhang, Xiaofei Wang

и другие.

Sustainability, Год журнала: 2025, Номер 17(3), С. 1162 - 1162

Опубликована: Янв. 31, 2025

The coordinated development of digitalization and greening is essential for economic transformation upgrading, especially given the pressing global carbon emission challenges. China’s commitment to achieving “dual carbon” goals highlights need sustainable solutions, particularly in manufacturing sector, which a significant source energy consumption emissions; emissions account more than 30%. Integrating advanced digital technologies with critical reducing growth. According research results, 70% scholars believe that boosts green innovation low-carbon development, but mechanisms still be clarified, slowing efforts efficiency. Taking intellectualization enterprises as latent variables, taking nine paths obtained by scholars’ results investigation interviews promote performance observation this paper constructs structural equation model deeply explores mechanism affecting reduction, reduction enterprises. show intelligent affects improvement through technological innovation, industrial structure reshaping resource allocation. These strategies lower use emissions, strengthen sustainability, improve performance. findings offer theoretical practical insights, providing roadmap efficient achieve support development.

Язык: Английский

Процитировано

2

Is artificial intelligence technology innovation a recipe for low-carbon energy transition? A global perspective DOI
Senmiao Yang, Jianda Wang, Kangyin Dong

и другие.

Energy, Год журнала: 2024, Номер 300, С. 131539 - 131539

Опубликована: Май 5, 2024

Язык: Английский

Процитировано

14

Unveiling the relation between digital technology and low-carbon innovation: Carbon emission trading policy as an antecedent DOI
Bo Wang, Siyu Gong, Yang Yang

и другие.

Technological Forecasting and Social Change, Год журнала: 2024, Номер 205, С. 123522 - 123522

Опубликована: Июнь 15, 2024

Язык: Английский

Процитировано

12

Digital transformation and green total factor productivity in the semiconductor industry: The role of supply chain integration and economic policy uncertainty DOI
Lan Gao, Ruting Huang

International Journal of Production Economics, Год журнала: 2024, Номер 274, С. 109313 - 109313

Опубликована: Июнь 15, 2024

Язык: Английский

Процитировано

11

How does digital transformation drive innovation in Chinese agribusiness: Mechanism and micro evidence DOI Creative Commons
Zhou Xue,

Yunjie Hou,

Guangqiao Cao

и другие.

Journal of Innovation & Knowledge, Год журнала: 2024, Номер 9(2), С. 100489 - 100489

Опубликована: Апрель 1, 2024

This paper investigates the impact of digital transformation on innovation within agribusiness sector, both theoretically and empirically, through an examination Chinese A-share agriculture-related listed companies spanning from 2011 to 2021. The findings suggest that significantly enhances capability agribusiness, while concurrently fostering improvements its quality. These results hold robust following endogeneity test a series robustness tests. Our heterogeneity analysis found exerts more pronounced influence promoting among state-owned agribusinesses, those located in eastern region China, facing heightened financing constraints. Mechanism testing revealed not only technological capabilities but also alleviates their financial constraints, thereby facilitating convergence innovative resources such as technology, talent capital consequently elevating agribusi-ness levels. elucidates impacts mechanisms innovation, offering valuable insights for decision-makers aiming foster particularly developing nations.

Язык: Английский

Процитировано

10