Impact of Corporate Governance Level on Enterprise Total Factor Productivity from the Perspective of Supply Chain Digitization DOI

Hongfeng Zhu,

Yuan‐Ping Chao

Finance research letters, Journal Year: 2024, Volume and Issue: unknown, P. 106549 - 106549

Published: Dec. 1, 2024

Language: Английский

Innovating for a Greener Future: Do Digital Transformation and Innovation Capacity Drive Enterprise Green Total Factor Productivity in the Knowledge Economy? DOI
Joana Cobbinah, Abednego Osei, Joseph Owusu Amoah

et al.

Journal of the Knowledge Economy, Journal Year: 2025, Volume and Issue: unknown

Published: March 6, 2025

Language: Английский

Citations

3

The impact of the digital economy on sustainable development: evidence from China DOI Creative Commons

Qiguang An,

Ruoyu Wang, Yongkai Wang

et al.

Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12

Published: March 26, 2024

This research investigates the intricate interplay among digital economy, green innovation, and level of sustainable development. Panel data from 268 cities in China, 2011 to 2020, are used comprehensively evaluate economy development investigate economy’s influence on Additionally, a mechanism analysis is contribution innovation. The findings suggest that significantly stimulates development, innovation serves as mediating intermediary moderating effect facilitating this relationship. Moreover, robustness check extends verification positive “Broadband China” policy strengthening reliability results. study provides management insights how regions can promote age.

Language: Английский

Citations

11

The panel threshold analysis of digitalization on manufacturing industry’s green total factor productivity DOI Creative Commons
Lu Liu,

Yulong Xin,

Bei Liu

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 5, 2025

Green and sustainable development of manufacturing industry has become the developing trend, green total factor productivity is an important indicator for measuring growth industry. The rapid digitalization provides new opportunities improvement industry's (IGTFP). However, there exists two different perspectives "digital promotion effect" inhibition presently, which causes paradox". That is, may have a non-linear effect on IGTFP. Therefore, this study focuses level aims to test threshold impact Furthermore, tries explore boundary conditions applicability driving sub-industries from perspective heterogeneous technological innovation abilities in industries. empirical based panel data 29 industries China 2012–2019. results show that: (1) Digitalization significant IGTFP, research are still robust according changing variable algorithm carrying Winsorize test. (2) Industry (ITI) plays role process (3) Heterogeneity analysis shows that mechanism varies depending differentiated intensity pollution degree. policymakers should formulate strategies.

Language: Английский

Citations

1

The Impact of Digital Transformation on the Export Technology Complexity of Manufacturing Enterprises: Based on Empirical Evidence from China DOI Open Access
Jinliang Wang, Qian Huang

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2596 - 2596

Published: March 15, 2025

In the context of increasing external competition uncertainty and growing maturity digital information technology applications, transformation has become crucial pathway for manufacturing enterprises to respond market changes, enhance comprehensive competitiveness, achieve sustainable development. order promote effective implementation strategy their export technological complexity, this paper, based on data from Chinese listed companies customs trade data, uses a multiple fixed effects model explore impact complexity exports. The results show that significantly improves enterprises, with innovation capability production efficiency as mediators. Further analysis research reveals supply chain integration dynamic capabilities amplify these effects, exhibiting significant heterogeneity in terms firm ownership, intensity, industry competition, geographic region, stages transformation. conclusions paper are great significance competitiveness international markets development through However, its dependence single-country fixed-period limits universality applicability. These insights highlight necessity future global applicability long-term sustainability strategies industry.

Language: Английский

Citations

1

The financial geographic structure, Confucian culture, and corporate asset allocation efficiency DOI
Zheng Gong,

Liuji Gong

Finance research letters, Journal Year: 2024, Volume and Issue: 63, P. 105264 - 105264

Published: March 21, 2024

Language: Английский

Citations

5

Digital transformation and green total factor productivity of heavy pollution enterprises: Impact, mechanism and spillover effect DOI
Boqiang Lin, Aochen Sun, Yongjing Xie

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 373, P. 123619 - 123619

Published: Dec. 7, 2024

Language: Английский

Citations

5

Promoting green transformation of enterprises in China to adapt to climate change: an evolutionary game analysis DOI Creative Commons
Jin Luo, Feng Wei

Frontiers in Climate, Journal Year: 2025, Volume and Issue: 7

Published: March 26, 2025

Climate change is driving the traditional development mode to a green, low-carbon, and sustainable path. Enterprise green transformation an important path achieve low-carbon. This study, based on evolutionary game theory, analyzes mechanisms of enterprises transformation, focusing interactive relationship between government policy support enterprise transformation. By constructing model for both enterprises, it examines impacts different levels support, costs, market return expectations, environmental penalties decisions. The results indicate that high significantly enhances success rate while returns, play moderating roles in decision-making process. Particularly context “dual carbon” goals, sustained stable crucial study further suggests promoting through market-oriented measures, digital technology empowerment, long-term incentive mechanisms, providing theoretical foundations practical guidance formulation development.

Language: Английский

Citations

0

Too Much or Too Little? The Inverted U-shaped Relationship between Corporate Shadow Banking Activities and Green Production Efficiency DOI
Sijing Li,

Yingkai Yin,

Qiuyun Zhao

et al.

Emerging Markets Finance and Trade, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 28

Published: April 7, 2025

Language: Английский

Citations

0

Driving Green Innovation Through Digital Transformation: Empirical Insights on Regional Variations DOI Open Access
Chao Yang, Qi Liu

Sustainability, Journal Year: 2024, Volume and Issue: 16(23), P. 10716 - 10716

Published: Dec. 6, 2024

This research examines the impact of digital transformation on green innovation across different regions in China, using data from Shanghai and Shenzhen stock markets 2007 to 2022. The study reveals that significantly enhances enterprises, with notable regional disparities. effects are most pronounced economically advanced eastern coastal areas, followed by central regions, while western lag behind. spatial pattern underscores importance tailored policies strategies address specific barriers opportunities. Integrating technologies such as AI big has empowered companies enhance their activities, particularly energy efficiency, pollution mitigation, eco-friendly manufacturing. However, challenges lack motivation for inadequate greener persist, necessitating new revive innovations. provides valuable insights policymakers, highlighting need cooperation, knowledge sharing, technology transfer promote sustainable economic development. By leveraging transformation, can improve capabilities, contributing broader goals China’s “dual carbon” initiative emphasizes critical role driving calls comprehensive infrastructure, literacy, environmental consciousness all China.

Language: Английский

Citations

2

Value Identification and Its Creation Mechanism of Digital Transformation at Enterprises DOI Creative Commons
LI Shui-fang, Aini Aman, Dahlia Fernandez

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 55976 - 55997

Published: Jan. 1, 2024

The survey highlights that most enterprise digital transformation (DT) projects failed to reach the expected outcomes. This is often due a limited understanding of DT's value and its creation mechanism (VM). purpose this article compile list variables affect VM assess factors according causal links, thereby further intricate connections among factors. adopts mixed approach called "CS: GT-DEMATEL-ISM" which incorporates concepts case study (CS), grounded theory (GT), decision experimentation evaluation laboratory (DEMATEL), interpretative structural modeling (ISM). Through GT, 32 related system were extracted summarized into 15 elements, converged 7 categories: IT, data, process, organization, business, business mode, values. Using DEMATEL ISM, model established, it shows technology enables reconstruction evolution processes, organizations, establish, or optimize models, ultimately improve capabilities performance. Three main aspects make up research contributions. In terms methodology, suggests using known as identify examine complex systems. theoretical practical contribution, first systematically values build framework system, fills gap in DT-related would help management for DT planning project implementation practice.

Language: Английский

Citations

0