Does Green Innovation enhance Corporate Social Responsibility? ——Evidence from China DOI
Jingwei Zhang,

Haijuan Leng

Finance research letters, Год журнала: 2024, Номер unknown, С. 106525 - 106525

Опубликована: Ноя. 1, 2024

Язык: Английский

The influence of digital intelligence transformation on carbon emission reduction in manufacturing firms DOI
Bin Cao, Lianqing Li, Kai Zhang

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 367, С. 121987 - 121987

Опубликована: Июль 26, 2024

Язык: Английский

Процитировано

13

Temporal and spatial evolution of low-carbon transportation efficiency and its influencing factors in China DOI
Lianxiao Yao, Weidong Chen

Energy, Год журнала: 2025, Номер unknown, С. 134357 - 134357

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

The impact of ecological civilization construction on the resilience of green technology innovation: evidence based on double dual machine learning DOI Creative Commons
Cunlin Li, Shiyu Zhang, Baojun Yang

и другие.

Frontiers in Environmental Science, Год журнала: 2025, Номер 12

Опубликована: Янв. 15, 2025

Can the accelerated development of ecological civilization promote sustainable green innovation?This paper investigates effects demonstration zones (ECDZs) on innovation resilience. Based a sample 237 prefecture-level cities across 31 provinces in China from 2011 to 2021, our double dual machine learning and spatial difference-in-differences model indicates that ECDZs significantly enhance urban Our findings also reveal spillover effect ECDZ—the one city improves resilience neighboring cities. The reaches its maximum fifth year. analysis underlying mechanisms suggests through advancement digitalization, consciousness, new quality productivity. We conduct an heterogeneity based geographical locations levels policy support, results show impact is mainly observed western, inland, strongly policy-supported regions. this study provide crucial insights valuable guidance for developing national environmental conservation policies programs.

Язык: Английский

Процитировано

0

Does intelligent manufacturing promote a breakthrough in green innovation? Evidence from China DOI Creative Commons
Xiangshu Dong, Yongjiao Du,

Mengchao Zhao

и другие.

Frontiers in Environmental Science, Год журнала: 2025, Номер 13

Опубликована: Янв. 31, 2025

Breakthroughs in green innovation (BGI) have become increasingly prominent spearheading technology, while intelligent manufacturing (IM) offers a fresh technical paradigm for the industry’ development. Yet, due to limitations measuring BGI, existing research on IM and BGI has been ignored. By devising ground-breaking approach this paper takes pilot demonstration projects as an ideal quasi-natural experiment investigates influence of BGI. Our findings indicate that can effectively enhance which are further validated by series rigorous examinations. Further mechanism analysis reveals crowding-in R&D resources, strengthening open innovation, alleviating agency conflict play potential pathways bridging nexus between A heterogeneity highlights disrupt technological path dependency observed high-pollution high-energy consumption industries. suggests form joint effect with environmental regulations promote driven also improve both firm’s economic environmental, social, governance (ESG) performance, leading “win-win” scenario performance study confirms promoting emerging countries is indispensable enhancing serves new impetus

Язык: Английский

Процитировано

0

Intelligent Manufacturing Level and Corporate Investment Efficiency DOI
Ying Liu, Lei Zheng

Finance research letters, Год журнала: 2025, Номер unknown, С. 107107 - 107107

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

The AI-sustainability Nexus: How does intelligent transformation affect corporate green innovation? DOI
Chongchong Xu, Boqiang Lin

International Review of Financial Analysis, Год журнала: 2025, Номер unknown, С. 104107 - 104107

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Substantive change or strategic response? Digital industrial convergence policy and urban green innovation DOI Creative Commons
J P Chen,

Yichang Zhang

Innovation and Green Development, Год журнала: 2024, Номер 4(1), С. 100184 - 100184

Опубликована: Окт. 24, 2024

Язык: Английский

Процитировано

4

County green transformation: how does gross ecosystem product assessment promote common prosperity? DOI Creative Commons
Kaidi Liu, Minghui Jin, Liang Cheng

и другие.

Humanities and Social Sciences Communications, Год журнала: 2025, Номер 12(1)

Опубликована: Янв. 6, 2025

Gross ecosystem product (GEP) refers to the direct measurement of a region's supply capabilities and basis for value realisation. China has made clear arrangements establishing GEP assessment regulations, with 36 districts counties currently conducting assessment, which 24 have executed dual assessments regional gross domestic (GDP) GEP. To explore influence on common prosperity urban rural regions, this study conducts quasi-natural experiment using staggered difference-in-differences model examine data from 1946 2012 2022. The results reveal that can significantly reduce urban-rural income gap improve residents' income, thereby realising prosperity. Further analysis indicates promotes faster growth residents narrowing between through enhanced government attention, fiscal support, green finance, agricultural development. impact is obviously heterogeneous. ability promote stronger in key ecological function areas, strong capacity high public environmental concern. This confirms positive role increasing advancing also provide decision-making reference expedient implementation assessment.

Язык: Английский

Процитировано

0

Green innovation in human-centric smart manufacturing DOI
Wang Jing, Tingting Dong,

Dahua Peng

и другие.

Management Decision, Год журнала: 2025, Номер unknown

Опубликована: Фев. 22, 2025

Purpose Green innovation in human-centric smart manufacturing (HSM-GI) has emerged as a new paradigm management for Industry 5.0. The evaluation analysis method is crucial measuring the development progress and guiding continual improvements of HSM-GI. Since this process HSM-GI can be regarded complex interactive, holistic picture often required to describe interrelations its antecedents consequences. In respect, study aims construct causality network indicator system proposes synergy Design/methodology/approach Firstly, based on Driver force-State-Response (DSR) causal-effect framework, constructs analyze interactions between environmental human concerns Secondly, owing imprecision cognition interaction process, flexible hesitant fuzzy (HF) superiority-inferiority synergetic presented. This quantifies strengths causal relationships expresses incentives constraints attitudes humans. Finally, proposed framework applied six HSMs electronic technology industry. Findings driving force state exhibit an upward trend, while response continues decline due changing market demands. order degree have shown increasing trend during 2021–2023, particularly significant BOE Haier Smart Home. systems with higher scores mostly functional coordination coherent structure. Originality/value demonstrates approach’s applicability assists policymakers formulating targeted strategies green systems.

Язык: Английский

Процитировано

0

Can central bank green communication reduce carbon emissions of high-energy-consuming firms? DOI Creative Commons
Xu Zhang, Xiao Zhou, Muhammad Abubakr Naeem

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 380, С. 125088 - 125088

Опубликована: Март 23, 2025

Язык: Английский

Процитировано

0