Environmentally responsible supply chain operations and digital transformation DOI
Tanmoy Kundu, Mark Goh

Elsevier eBooks, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

Язык: Английский

Enhancing ESG Performance through Digital Transformation: Insights from China's Manufacturing Sector DOI
Xiaowei Ding, Darko Vuković,

Boris I. Sokolov

и другие.

Technology in Society, Год журнала: 2024, Номер 79, С. 102753 - 102753

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

5

The Effect of the Regional Comprehensive Economic Partnership on Taiwan’s Global Value Chain of the Electronic Information Industry DOI Open Access

Cheyuan Liu,

Jie Zhou, Wen Wen

и другие.

Sustainability, Год журнала: 2025, Номер 17(1), С. 281 - 281

Опубликована: Янв. 2, 2025

Taiwan (China) is a global leader in the electronic information industry. However, previous studies have paid limited attention to impact of international trade policies on Taiwan’s sector. This study aims examine effects Regional Comprehensive Economic Partnership (RCEP) value chain (GVC) Using GTAP 10.0 database, this applies GVC-CGE model measure GVC participation and position index industry (China), Mainland China, other RCEP member economies. The results show that, short term, does not significant industry’s or chain. long it likely negatively affect forward position. Economies within that possess technological resource advantages are expected see improvements their As result, faces risk being displaced division labor. These findings offer valuable insights into chain, highlight importance regional economic cooperation, provide crucial for development reveals how contributes reconfiguration chains its potential impacts We suggest should engage more actively East Asian cooperation mitigate these negative as much possible.

Язык: Английский

Процитировано

0

Carbon emission reduction development, digital economy, and green transformation of China's manufacturing industry DOI
Zongguo Ma, Chenhui Ding, Xu Wang

и другие.

International Review of Financial Analysis, Год журнала: 2025, Номер unknown, С. 104149 - 104149

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Can digital transformation enhance total factor productivity? Evidence from chinese listed manufacturing firms DOI
Jie Wu, Xiaoyu Wang, Jacob Wood

и другие.

Journal of Productivity Analysis, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Analyzing the Impact of Government R&D Subsidy and Digital Transformation on Supply Chain Risk Dynamics Management and Firm Performance in the China’s Chip Industry DOI
Hailan Guo,

Zhen Shen,

Yanting Chen

и другие.

International Journal of Production Economics, Год журнала: 2025, Номер unknown, С. 109524 - 109524

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Twin transition in industrial organizations: Conceptualization, implementation framework, and research agenda DOI Creative Commons
Sabrina Tabares, Vinit Parida, Koteshwar Chirumalla

и другие.

Technological Forecasting and Social Change, Год журнала: 2025, Номер 213, С. 123995 - 123995

Опубликована: Фев. 3, 2025

Язык: Английский

Процитировано

0

Research on the Impact of Green Supply Chain Integration on Enterprises’ Green Innovation DOI Open Access
Xiangdong Li, R. Wang,

Mengmeng Nan

и другие.

Sustainability, Год журнала: 2025, Номер 17(7), С. 2859 - 2859

Опубликована: Март 24, 2025

Purpose: The objective of this study is to examine the influences green supply chain integration, digital transformation chain, and environmental uncertainty on corporate innovation. Moreover, relevant policy suggestions are put forward facilitate sustainable development Design/methodology/approach: This adopts literature research method sort out variables understand current situation as foundation for our study, uses questionnaire survey create a collect data, analyzes data with help empirical verify hypotheses draw conclusions. Findings: Green integration positively promotes innovation also affects transformation, which in turn acts mediator, while plays moderating role Originality/value: delves into how internal supplier customer its independent variables, domestic manufacturing enterprises. By doing so, it breaks new ground area offers theoretical directions efforts Meanwhile, era, from overall perspective, we break through limitations previously studied intermediary variables. We construct model by integrating explore variable influence paths. can fill gaps, lay solid groundwork enhancing enterprise development, open path growth.

Язык: Английский

Процитировано

0

Managing resources for digital transformation in supply chain integration: The role of hybrid governance structures DOI
Cíntia Wilke Franco, Guilherme Brittes Benitez, Paulo Renato de Sousa

и другие.

International Journal of Production Economics, Год журнала: 2024, Номер 278, С. 109428 - 109428

Опубликована: Окт. 10, 2024

Язык: Английский

Процитировано

3

Unlocking Green Patterns: The Local and Spatial Impacts of Green Finance on Urban Green Total Factor Productivity DOI Open Access

Jiyou Xiang,

Linfang Tan, Da Gao

и другие.

Sustainability, Год журнала: 2024, Номер 16(18), С. 8005 - 8005

Опубликована: Сен. 13, 2024

The urgency of global climate change and environmental degradation has become increasingly apparent, green finance, as a pioneering financial tool, is providing critical support to unlock regional patterns. Based on the data China’s prefecture level from 2010 2021, this study examines causal relationship mechanism finance (GF) urban total factor productivity (GTFP) using spatial Durbin model. results show following: (1) Green can not only improve local GTFP, but also spillover effect, it still valid after robustness test, which means that development GF significantly promote transformation. (2) effect are more obvious in coastal developed areas. (3) After deconstructing transformation, paper finds improving energy utilization efficiency, mitigating capital mismatch degree, enhancing new quality important impact channels for enhance GTFP. These conclusions provide theoretical reference help with construction high-quality “Double Cycle” pattern, low-carbon This application value provides experience other developing countries seek transformation perspective practice.

Язык: Английский

Процитировано

1

Digital Transformation and Corporate Green Total Factor Productivity: Based on Double/Debiased Machine Learning Robustness Estimation DOI
Rongrong Wei, Yueming Xia

Economic Analysis and Policy, Год журнала: 2024, Номер unknown

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

1