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Titlebook: Ecological Footprint of the Modern Economy and the Ways to Reduce It; The Role of Leading Bruno S. Sergi,Elena G. Popkova,Yulia V. Ragulin

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发表于 2025-3-21 17:36:44 | 显示全部楼层 |阅读模式
书目名称Ecological Footprint of the Modern Economy and the Ways to Reduce It
副标题The Role of Leading
编辑Bruno S. Sergi,Elena G. Popkova,Yulia V. Ragulina
视频video
概述Offers recommendations to reduce the economy’s ecological footprint leading digital technologies, circular innovation.Presents the international experience of the economy’s ecological footprint and it
丛书名称Advances in Science, Technology & Innovation
图书封面Titlebook: Ecological Footprint of the Modern Economy and the Ways to Reduce It; The Role of Leading  Bruno S. Sergi,Elena G. Popkova,Yulia V. Ragulin
描述.This book is devoted to the systems rethinking of the role of the leading digital technologies and circular innovations to reduce the environmental footprint of the modern economy. The target audience of this book consists of scientists who explore environmental economics, energy economics, and sustainable development. In this book, they will find a consistent take on the impact of the economy on the environment from the perspective of a new scientific concept—the environmental footprint of the economy, described through the lens of the UN SDGs. This book is also useful for public agencies of energy and environmental economics and environmentally responsible enterprises. In this book, they will find applied recommendations on improving the efficiency of the use of high technologies and responsible innovations to reduce the environmental footprint of the modern economy..The book provides numerous real-world examples, case studies, and recommendations on unlocking the environmental potential of high technologies (Big Data, Ubiquitous Computing (UC), Robotics, Artificial Intelligence (AI), and the Internet of Things (IoT)) and responsible innovations (ESG investments, environmental t
出版日期Book 2024
关键词Systems Thinking; Nationally Determined Contributions; Carbon Neutral; Sustainable Development Goals (S
版次1
doihttps://doi.org/10.1007/978-3-031-49711-7
isbn_softcover978-3-031-49713-1
isbn_ebook978-3-031-49711-7Series ISSN 2522-8714 Series E-ISSN 2522-8722
issn_series 2522-8714
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Book 2024 numerous real-world examples, case studies, and recommendations on unlocking the environmental potential of high technologies (Big Data, Ubiquitous Computing (UC), Robotics, Artificial Intelligence (AI), and the Internet of Things (IoT)) and responsible innovations (ESG investments, environmental t
发表于 2025-3-22 06:42:59 | 显示全部楼层
Investment Cooperation Between the EU and the EAEU Countries in Building a “Green Economy” (Case of gly focused on supporting projects aimed at maintaining sustainable development, including such areas as urban and industrial infrastructure, energy conservation, renewable energy, etc. It is revealed that the EBRD’s financing contributes to the accelerated modernization of energy companies’ capacit
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Data Mining Efficiency in the ESG Indexes Verbalization Analysis (on the Example of the MSCI Site)re related to each other. The scientific novelty of this research is determined by the flexibility of the proposed analysis model because it can be used as an open-source tool, i.e., the approach presented herein can be extended to many other types of texts and languages.
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Green Economy as a Factor in the Transformation of Environmentally Oriented Managemententation of which is supposed to be based on management principles aimed at balancing economic, social, and environmental interests. The result of the research, which determines the list of elements of scientific novelty and its practical importance, is a step-by-step scheme based on the analysis of
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Potential for Implementing ESG Principles in Cement Productionving the energy efficiency of cement production and reducing its carbon intensity and cost. Moreover, the authors provide indicative quantitative estimates of the effectiveness of the measures proposed for implementation.
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