Technology-driven carbon reduction: Analyzing the impact of digital technology on China's carbon emission and its mechanism

Technological Forecasting and Social Change, Год журнала: 2023, Номер 200, С. 123124 - 123124

Опубликована: Дек. 21, 2023

Язык: Английский

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Impact of digital technology on carbon emissions: Evidence from Chinese cities

Frontiers in Ecology and Evolution, Год журнала: 2023, Номер 11

Опубликована: Апрель 24, 2023

Introduction Promoting the development of digital technology is an important step in meeting challenge global climate change and achieving carbon peaking neutrality goals. Methods Based on panel data Chinese cities from 2006 to 2020, this paper used econometrics investigate impact mechanism emissions. Results The results showed that can significantly reduce emission intensity improve efficiency. These remained robust after changing estimation method, adding policy omission variables, replacing core solving endogeneity problem. Digital indirectly emissions by promoting green technological innovation reducing energy intensity, it plays a significant role reduction practices trading policies comprehensive national big pilot zones. replicability, non-exclusivity, high mobility help accelerate spread knowledge information between different cities, which leads spillover effect reductions. Our unconditional quantile regression model technology’s continuously decreases with increases dioxide Discussion provide evidence for potential use goal neutrality, great significance high-quality transformation economy society.

Язык: Английский

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Towards a low-carbon and beautiful world: assessing the impact of digital technology on the common benefits of pollution reduction and carbon reduction

Environmental Monitoring and Assessment, Год журнала: 2024, Номер 196(8)

Опубликована: Июль 4, 2024

Язык: Английский

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Carbon Footprint Management with Industry 4.0 Technologies and Erp Systems in Sustainable Manufacturing

Applied Sciences, Год журнала: 2025, Номер 15(1), С. 480 - 480

Опубликована: Янв. 6, 2025

The urgency of addressing climate change has amplified the need for sustainable manufacturing practices. This review explores integration carbon footprint management and energy efficiency strategies within Industry 4.0 technologies ERP systems, emphasizing their role in achieving environmental sustainability. Despite increasing interest these domains, literature reveals critical gaps, particularly application technologies—such as IoT, big data analytics, AI—for effective manufacturing. Furthermore, limited exploration systems tracking, analyzing, optimizing emissions across supply chains highlights another under-researched area. paper systematically reviews recent advancements, methodologies, implementation challenges, categorizing findings under strategies, green chain management, digital transformation reduction. study identifies opportunities real-time monitoring, predictive cross-sector collaborations while obstacles such high initial costs, complexities, lack regulatory frameworks. By bridging research this contributes a comprehensive understanding how can transform providing actionable insights academia, policymakers, industry practitioners aiming to align with global sustainability goals.

Язык: Английский

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Whether Low-Carbon City Pilot Policy can Promote the Transition to a Green Lifestyle? Evidence from China

Journal of Systems Science and Systems Engineering, Год журнала: 2025, Номер unknown

Опубликована: Янв. 3, 2025

Язык: Английский

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Lean, Agile, and Six Sigma: Efficiency and the Challenges of Today’s World: Is It Time for a Change?

Sustainability, Год журнала: 2025, Номер 17(8), С. 3617 - 3617

Опубликована: Апрель 17, 2025

The article presents the results of research on resilience companies using management concepts such as Lean Management, Agile, and Six Sigma to crises that have had face in recent years: COVID-19 pandemic, rising energy prices, war Ukraine. implementation these should lead process improvements a reduction consumption production resources, including energy. aim study was determine how affected efficiency whether solutions used so far are sufficient or require modification. authors three methods. Firstly, they analyzed literature—scientific publications, studies, expert reports. Secondly, financial (net profits share Costs Goods Sold value Revenues) period before (2016–2019) after outbreak pandemic (2020–2023) strategies their combinations. To compare effectiveness methods, also international corporations Polish companies. Third, conducted survey among applying Management concept. this show years, even if caused deterioration performance, were short-lived able adapt new conditions. Japanese increased by an average 55.56% between 2020 2023, “Lean” American organizations more (71.64%). been steadily increasing for years (134.14% 143.27% outbreak). COGS will remain at similar (high) level many come. There no significant increases costs due companies’ environment (e.g., increase prices), and, other hand, there is tendency them decrease large proportion In 2020–2023, largest decreases occurred combining (−11.85%). use Agile strategy, 8.05%. However, data, analysis from individual groups leads conclusion it not only concept important, but implemented given company. addition, streamlining processes eliminating waste enough days. It necessary modern technologies (digital technologies, Industry 4.0). Increasing logistics external costs. new, specialized needed. issue indeed gaining importance included concepts, e.g., Management.

Язык: Английский

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Technology-driven energy revolution: the impact of digital technology on energy efficiency and its mechanism

Frontiers in Energy Research, Год журнала: 2023, Номер 11

Опубликована: Сен. 5, 2023

Introduction: Improving energy efficiency is significant for achieving carbon emission reduction and promoting the transformation of green economic development. In sustainable development framework set out in 2030 Agenda Sustainable Development, Goal 7.3 explicitly aims to double global rate improvement by 2030. The rapid digital technology, along with its universality penetrative characteristics, has provide a feasible solution improving environmental conditions. However, theoretical understanding impact underlying logic technology on remains unclear. Methods: Based panel data 30 provinces China from 2006 2021, this paper adopts econometric methods, including two-way fixed effect, instrumental variable method, Driscoll-Kraay standard error. It investigates influence internal mechanism single factor all levels. Result: results show that Digital represented industrial robots, significantly improves efficiency, whether measured consumption intensity GDP or total-factor estimated using SBM-GML model. still hold even after conducting endogeneity tests robustness tests. can improve increasing virtual agglomeration outward foreign direct investment. Discussion: addition exploring mechanism, also provides empirical evidence policy makers enterprises formulate effective measures strategies under background economy.

Язык: Английский

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Deep Learning-Enabled Holistic Control and Prediction System for Building Energy Consumption and Distribution Optimization

Electric Power Components and Systems, Год журнала: 2024, Номер unknown, С. 1 - 15

Опубликована: Май 2, 2024

Managing a building's energy consumption while minimizing costs and grid reliance is complex. A novel system proposed, blending advanced technologies methodologies. Deep learning techniques, particularly the fusion of Hough Transform within Gated Recurrent Unit, form core this approach. User-defined preferences are prioritized, offering personalized energy-saving strategies. Simulation experimentation demonstrate system's efficacy, forecasting demand supply with 4%–10% deviation accuracy in hourly data for months ahead. By leveraging deep predictions, efficient storage, an optimized scheduling algorithm, achieves 84% reduction reliance, cutting power expenses by 87%. Comparative cost analysis over thirty years highlights cost-effectiveness inefficiency installing wind turbines on roof. In essence, offers data-driven solution that optimizes management, reduces dependency, tailors strategies, significantly electricity expenses.

Язык: Английский

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Wie Roboter die Welt (und das Wirtschaften) verändern: Ein Überblick über Daten, Forschungsergebnisse und wirtschaftspolitische Strategien

Perspektiven der Wirtschaftspolitik, Год журнала: 2024, Номер 25(2), С. 130 - 152

Опубликована: Авг. 19, 2024

Zusammenfassung Der industrielle Einsatz von Robotern und die damit verbundenen Veränderungen wirtschaftlicher sozialer Beziehungen sind ein schnell wachsendes Forschungsfeld. In diesem Beitrag geben Anne Jurkat, Rainer Klump Florian Schneider einen Überblick über Datenquellen aktuelle Ergebnisse der empirischen Forschung zum Robotereinsatz. Nach einer Präsentation thematischen Schwerpunkte erörtern sie unterschiedlichen Analyseebenen drei zentralen Wirkungseffekte des Robotereinsatzes (Produktivitäts-, Substitutions- Wiedereinsetzungseffekt). Abschließend analysieren aktuellen wirtschaftspolitischen Strategien Umgang mit Robotik in Deutschland, auf Sicherung Wettbewerbsfähigkeit technologischer Souveränität abzielen.

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Digitisation of Marketing and Logistics Activities of Manufacturing and Trading Enterprises

International Journal of Professional Business Review, Год журнала: 2023, Номер 8(6), С. e02548 - e02548

Опубликована: Июнь 27, 2023

Purpose: The study aims to explore the benefits of digitisation and provide insights into how companies can successfully implement digital strategies improve their marketing logistics functions. Theoretical framework: utilizes a comparative analysis information systems used by manufacturing trading enterprises understand digitalisation process. Design/methodology/approach: research methodology involves defining scope digitalisation, assessing current state, developing strategy, planning implementation, executing monitoring progress, optimizing process, continuously reviewing improving. Findings: proposed algorithm consists in optimising effectiveness is evaluated using objective mathematical models Key Performance Indicators specific goals Research, Practical & Social implications: article provides an example model for be implemented real-world scenario. represented as equation that maximises value generated from activities subject constraints such budget, efficiency improvement, customer satisfaction improvement. Originality/value: This enterprises. It offers systematic approach evaluating implementing strategies, contributing existing knowledge on transformation business domain.

Язык: Английский

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