Digital Intelligence Leads Environmental Regulation: A New Paradigm for Green Sustainable Development

Topic Information

Dear Colleagues,

The digital intelligence era offers a new perspective on environmental regulation and sustainable development, in which advanced intelligent technologies and data science tools play a key role. Specifically, digital governance is emerging as a central driver for a green, resilient, and inclusive recovery of the global economy and society. Through data-driven decision-making models, digital environmental regulatory tools can more accurately diagnose problems and provide key indicators for sustainable economic and social development. For example, through innovative strategies such as smart climate monitoring, digital environmental assessment, and smart city construction, we can more effectively promote the low-carbon transformation and the green transformation, thus promoting sustainable and healthy economic growth. However, in the process of green transition of major economies, the relationship between environmental regulatory instruments and economic and social development in the context of digital intelligence still faces challenges and uncertainties. Some critical research questions remain to be answered (1) How to better identify the interaction between environmental regulation and sustainable development in the global wave of digital intelligence? (2) How can digital intelligence empower environmental regulation to facilitate the implementation of the systematic sustainable development framework? (3) How can new data models and algorithms be introduced to quantify the impact of environmental regulation on sustainable economic and social development? This topic welcomes innovative research related to the application of smart technologies in environmental monitoring, energy efficiency driven by smart technologies, heterogeneous environmental regulation for carbon reduction, adaptive climate policy approaches for climate governance, data science for green innovation and renewable energy, the role of data science in resource management, etc. These studies will help contribute to a clear comprehension of the relationship between environmental regulation and sustainable development in the era of digital intelligence.

Dr. Da Gao
Dr. Kun Duan
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Atmosphere atmosphere	2.5	4.6	2010	15.8 Days	CHF 2400	Submit
Economies economies	2.1	4.0	2013	21.7 Days	CHF 1800	Submit
Energies energies	3.0	6.2	2008	17.5 Days	CHF 2600	Submit
Land land	3.2	4.9	2012	17.8 Days	CHF 2600	Submit
Sustainability sustainability	3.3	6.8	2009	20 Days	CHF 2400	Submit
Earth earth	2.1	3.3	2020	21.7 Days	CHF 1200	Submit

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Published Papers (2 papers)

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22 pages, 6366 KiB  

Open AccessArticle

A Simplified Framework to Integrate Databases with Building Information Modeling for Building Energy Assessment in Multi-Climate Zones

by Danny Lobos Calquín, Ramón Mata, Juan Carlos Vielma, Juan Carlos Beaumont-Sepulveda, Claudio Correa, Eduardo Nuñez, Eric Forcael, David Blanco and Pablo Pulgar

Sustainability 2024, 16(14), 6123; https://doi.org/10.3390/su16146123 - 17 Jul 2024

Viewed by 406

Abstract

BIM models are seldom used for the energy certification of buildings. This paper discusses the advantages of linking two important fields: building information modeling (BIM) and building environmental assessment methods (BEAM), presented as a rating system and a proposal for the Chilean context. [...] Read more.

BIM models are seldom used for the energy certification of buildings. This paper discusses the advantages of linking two important fields: building information modeling (BIM) and building environmental assessment methods (BEAM), presented as a rating system and a proposal for the Chilean context. The state of the art in both fields around the world is discussed, with an in-depth examination of current BIM software and related applications, followed by a discussion about previous research on integrating them. A lack of interoperability and data losses between BIM and BEM were found. A new tool is presented that addresses these challenges to ensure accurate rating system data, and this new framework is based on database exchange and takes crucial information from BIM to BEAM platforms. The development of the method includes BIM programming (API), database links, and spreadsheets for a Chilean building energy certification through a new tool, also applicable to multiclimactic zones. This new semi-automatic tool allows architects to model their design in a BIM platform and use this information as input for the energy certification process. The potential and risks of this method are discussed. Several improvements and enhancements of the energy certification process were found when incorporating this new framework in comparison to current methodologies. Full article

(This article belongs to the Topic Digital Intelligence Leads Environmental Regulation: A New Paradigm for Green Sustainable Development)

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25 pages, 3893 KiB  

Open AccessArticle

Has the Digital Economy Improved the Urban Land Green Use Efficiency? Evidence from the National Big Data Comprehensive Pilot Zone Policy

by Guangya Zhou, Helian Xu, Chuanzeng Jiang, Shiqi Deng, Liming Chen and Zhi Zhang

Land 2024, 13(7), 960; https://doi.org/10.3390/land13070960 - 30 Jun 2024

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The advancement of the big data industry is playing a pivotal role in urban land management refinement. Recently, China initiated a big data strategy, establishing national big data comprehensive pilot zones (NBDCPZs) across diverse regions. These initiatives present substantial opportunities for enhancing the [...] Read more.

The advancement of the big data industry is playing a pivotal role in urban land management refinement. Recently, China initiated a big data strategy, establishing national big data comprehensive pilot zones (NBDCPZs) across diverse regions. These initiatives present substantial opportunities for enhancing the urban land green use efficiency (ULGUE). Consequently, in this study, we utilized the super-efficiency slack-based measure (SBM) model with undesirable outputs to assess the ULGUEs across 281 prefecture-level cities in China from 2006 to 2021. Subsequently, leveraging the NBDCPZ establishment as a quasi-natural experiment, we employed the difference-in-differences (DID) method to empirically explore the impact of the NBDCPZ policy on the ULGUE for the first time. The findings revealed the following: (1) The implementation of the NBDCPZ policy significantly enhances the ULGUE; (2) the effects are mediated through mechanisms such as fostering technological innovation, mitigating resource misallocation, and promoting industrial agglomeration; (3) the heterogeneity analysis emphasizes the increased policy effectiveness in cities characterized by fewer natural resources, lower economic growth pressures, stable development stages, and moderate digital infrastructure and human capital levels; and (4) further analysis demonstrates the significant positive spillover effects of the NBDCPZ policy on the ULGUEs of neighboring non-pilot cities, with a diminishing impact as the proximity between pilot and non-pilot cities decreases. Overall, this study contributes to the literature on the relationship between the digital economy and land utilization, offering valuable insights for achieving sustainable urban development. Full article

(This article belongs to the Topic Digital Intelligence Leads Environmental Regulation: A New Paradigm for Green Sustainable Development)

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