Analyzing Carbon Emission Reduction Driven by Digital Transformation: Evidence from China's Northwest Region Using GTWR-BP Neural Network Model DOI Creative Commons
Tao Zhou, Li Li

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Июль 30, 2024

Abstract This study is based on panel data from 30 prefecture-level cities in Northwest China 2011 to 2021, providing an in-depth analysis of the impact digital transformation carbon emissions, with a detailed examination spatial perspective. The research findings indicate that plays significant role curbing regional exhibiting notable spatiotemporal heterogeneity. Specifically, average value reduction effect digitalization decreased -5.0792 -3.05602 over time, indicating gradual weakening effect. However, neural network predictions suggest potential rebound 2022 2024, expected -0.14617 2022, eventually reaching -0.5063 2024. Despite relatively weak foundation for development China, which has led diminished effect, ongoing advancement overcome technical lags, reduce energy consumption, and lower emissions. highlights improvement level primarily operates through two mechanisms: industrial structure upgrading economic enhancement, promoting transition traditional industries towards low-carbon directions, while simultaneously increasing production consumption efficiency, thereby reducing resource consumption. These provide important references formulating relevant policies, suggesting enhancement infrastructure construction promotion achieve "dual carbon" goals foster sustainable development.

Язык: Английский

The Path from Green Innovation to Supply Chain Resilience: Do Structural and Dynamic Supply Chain Complexity Matter? DOI Open Access

Aisha Issa,

Amir Khadem,

Ahmad Alzubi

и другие.

Sustainability, Год журнала: 2024, Номер 16(9), С. 3762 - 3762

Опубликована: Апрель 30, 2024

At the heart of supply chain innovation lies challenge complexity, a pivotal force shaping pathways to resilience and sustainable success in today’s business environment. Drawing from resource-based view, dynamic capabilities, contingency theories, this study examines impact green strategies on through mediation role logistics management practices moderation effects structural complexity. Leveraging quantitative approach, surveyed 404 managers manufacturing firms Turkey using combination physical electronic questionnaires. Our analysis robustly supports interconnected roles strategy bolstering resilience. A significantly enhances Further, contribute positively resilience, acting as crucial mediator translating into heightened Additionally, effectiveness improving is amplified less structurally complex chains. In contrast, becomes more pronounced environments with lower highlighting nuanced influence complexity sustainability efforts. The study’s findings novel perspective discourse, emphasizing complexity’s determinant

Язык: Английский

Процитировано

6
Beyond Bits and Bytes: Examining the Dynamic Influence of Digital Economy on Ecological Footprint in OECD Economies DOI
Lingyan Xu, Francis Tang Dabuo, Beverlley Madzikanda

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 482, С. 144141 - 144141

Опубликована: Ноя. 14, 2024

Язык: Английский

Процитировано

2
Analyzing Carbon Emission Reduction Driven by Digital Transformation: Evidence from China's Northwest Region Using GTWR-BP Neural Network Model DOI Creative Commons
Tao Zhou, Li Li

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Июль 30, 2024

Abstract This study is based on panel data from 30 prefecture-level cities in Northwest China 2011 to 2021, providing an in-depth analysis of the impact digital transformation carbon emissions, with a detailed examination spatial perspective. The research findings indicate that plays significant role curbing regional exhibiting notable spatiotemporal heterogeneity. Specifically, average value reduction effect digitalization decreased -5.0792 -3.05602 over time, indicating gradual weakening effect. However, neural network predictions suggest potential rebound 2022 2024, expected -0.14617 2022, eventually reaching -0.5063 2024. Despite relatively weak foundation for development China, which has led diminished effect, ongoing advancement overcome technical lags, reduce energy consumption, and lower emissions. highlights improvement level primarily operates through two mechanisms: industrial structure upgrading economic enhancement, promoting transition traditional industries towards low-carbon directions, while simultaneously increasing production consumption efficiency, thereby reducing resource consumption. These provide important references formulating relevant policies, suggesting enhancement infrastructure construction promotion achieve "dual carbon" goals foster sustainable development.

Язык: Английский

Процитировано

0