Research on the Influence of Digital Economy Level of Prefecture-Level Cities on Enterprises’ Total Factor Productivity—Taking A-Share Listed Enterprises as an Example DOI

金凤 陆

Modern Management, Год журнала: 2024, Номер 14(12), С. 3086 - 3100

Опубликована: Янв. 1, 2024

Язык: Английский

Emerging enablers of green low-carbon development: Do digital economy and open innovation matter? DOI
Xiaoqing Wang, Chuan Qin, Yanping Liu

и другие.

Energy Economics, Год журнала: 2023, Номер 127, С. 107065 - 107065

Опубликована: Сен. 28, 2023

Язык: Английский

Процитировано

51

The role of venture capital in determining the total factor productivity of renewable energy enterprises: In the context of government subsidy reduction DOI
Boqiang Lin, Yongjing Xie

Energy Economics, Год журнала: 2024, Номер 132, С. 107454 - 107454

Опубликована: Март 4, 2024

Язык: Английский

Процитировано

15

Energy supply chain efficiency in the digital era: Evidence from China's listed companies DOI
Shuke Fu,

Yingchen Ge,

Hao Yu

и другие.

Energy Economics, Год журнала: 2024, Номер 134, С. 107597 - 107597

Опубликована: Апрель 29, 2024

Язык: Английский

Процитировано

11

How does the digital economy affect the green transition: The role of industrial intelligence and E-commerce DOI
Chenchen Huang, Min Du, Boqiang Lin

и другие.

Research in International Business and Finance, Год журнала: 2024, Номер 73, С. 102541 - 102541

Опубликована: Авг. 27, 2024

Язык: Английский

Процитировано

10

Innovative financial solutions for sustainable investments using artificial intelligence-based hybrid fuzzy decision-making approach in carbon capture technologies DOI Creative Commons
Serhat Yüksel, Serkan Eti, Hasan Dınçer

и другие.

Financial Innovation, Год журнала: 2025, Номер 11(1)

Опубликована: Янв. 3, 2025

Abstract High costs, technical difficulties, and policy uncertainties are the main challenges in carbon capture technology investments. Therefore, innovative financial products required to develop projects that overcome these difficulties. Some issues must be considered when developing products. An important problem this process is features cannot possibly exist together new product, because each of incurs some costs. identifying most necessary. Accordingly, study develops a product increase effectiveness investments technologies. For purpose, novel artificial intelligence (AI)-based fuzzy decision-making model constructed. First, weights experts were calculated by considering AI methodology. Second, factors affecting investment technologies weighted using spherical DEMATEL. Finally, for ranked ARAS method. This study’s contribution its creation integrating methodology with theory. In process, an approach. It concluded cost-effectiveness prioritized development Technological competence another aspect should process. However, include risk management flexible financing.

Язык: Английский

Процитировано

1

The impact of digital transformation on corporate supply chain management: Evidence from listed companies DOI

Pingrui Li,

Xu Zhao

Finance research letters, Год журнала: 2023, Номер 60, С. 104890 - 104890

Опубликована: Дек. 20, 2023

Язык: Английский

Процитировано

16

Enterprise Digital Transformation and Green Technology Innovation: Evidence from Innovation Sub-Dimension and Time Lag Effect DOI Open Access
Mengyu Li, Yingying Zhao,

Jiale Yan

и другие.

Polish Journal of Environmental Studies, Год журнала: 2024, Номер unknown

Опубликована: Март 15, 2024

With the development of digital and green economies, enterprise transformation inventively promotes technological innovation.Using data from listed companies in Shanghai Shenzhen 2008 to 2021 with text analysis, we construct a multidimensional fixed-effect model study impact on technology innovation.We find that innovation, holding after series robustness tests endogeneity treatments, by reducing financing constraints easing risks.Further analysis shows among two sub-dimensions promotion effect independent innovation is more prominent.There also time lag both its sub-dimensions, showing tendency enhance then weaken.Moreover, positive significant heavy pollution industries, alongside non-state-owned small-scale enterprises, different performances sub-dimension.

Язык: Английский

Процитировано

5

Digital transformation, dynamic capability and total factor productivity of manufacturing enterprises DOI
Taiye Luo, Juanjuan Qu, Shuo Cheng

и другие.

Industrial Management & Data Systems, Год журнала: 2025, Номер unknown

Опубликована: Янв. 14, 2025

Purpose Enhancing total factor productivity through digital transformation is a crucial pathway for the high-quality development of manufacturing enterprises. This research aims to investigate impact mechanisms enterprises’ in context transformation. Design/methodology/approach Using data from 536 Chinese listed enterprises 2018 2021, this divides into two dimensions (i.e. breadth and depth) examines their impacts on as well mediation effects innovation capability reconfiguration capacity. Findings It found that breadth, depth interaction can positively affect productivity. The capacity act mediators between productivity, Originality/value study one first attempts perspective depth.

Язык: Английский

Процитировано

0

The Impact of Digital Finance on Coordinated Ecological and Economic Development: Evidence from China DOI
Fengge Yao, Jiayi Yu

Emerging Markets Finance and Trade, Год журнала: 2025, Номер unknown, С. 1 - 20

Опубликована: Март 18, 2025

Язык: Английский

Процитировано

0

Measuring Corporate Digital Transformation: Methodology, Indicators and Applications DOI Open Access

Limin Zou,

Li Wan, Hongyi Wu

и другие.

Sustainability, Год журнала: 2024, Номер 16(10), С. 4087 - 4087

Опубликована: Май 13, 2024

With the rapid development of data science, digital technology is integrating deeply with enterprise management, driving companies towards transformation to achieve sustainable development. However, a systematic and comprehensive process, posing challenges in accurately depicting firm-level digitalization. Hence, this study systematically reviews measurement methods for across various themes related Existing literature predominantly employs questionnaire analysis, quantitative statistics, text analysis gauge extent transformation. In terms indicator construction, existing mainly relies on input, outcome variables construct indicators. Nevertheless, due subjectivity questionnaires, uniqueness industry data, limitations textual information, these indicators derived from them possess distinct applicability scopes. Refining should hinge both research objectives characteristics data. Furthermore, through cases such as agriculture, manufacturing service industries, also reveals unique encountered by industries process transformation, provides more detailed summary specific emphasizes importance selecting according characteristics.

Язык: Английский

Процитировано

4