绿色金融对实现可持续发展的溢出效应:空间Durbin模型

IF 1.9 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Computation Pub Date : 2023-10-05 DOI:10.3390/computation11100199

Aleksy Kwilinski, Oleksii Lyulyov, Tetyana Pimonenko

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引用次数: 15

摘要

实现可持续发展目标是一个复杂的过程，涉及一系列经济、社会和环境因素。它需要在基础设施、技术和人力资本方面进行投资。在这种情况下，绿色金融通过为环境友好的实践和技术提供激励，鼓励企业和投资者采用可持续的商业模式，有助于将投资引向可持续的项目和倡议。本文旨在检验2008-2021年绿色金融对欧盟国家实现可持续发展的空间溢出效应。本研究运用空间Durbin模型对研究假设进行探讨。研究结果证实，绿色金融促进了可持续发展目标的实现。然而，绿色金融对实现可持续发展的影响在欧盟地区存在差异。在这种情况下，欧盟应考虑到通过减少温室气体排放、提高能源效率和促进可再生能源来显著影响可持续发展目标实现的区域特征，加强其绿色金融政策。此外，有必要发展包括绿色债券在内的替代资金来源，可用于资助可再生能源项目、绿色建筑建设等绿色项目。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Spillover Effects of Green Finance on Attaining Sustainable Development: Spatial Durbin Model

Attaining sustainable development goals is a complex process that involves a range of economic, social, and environmental factors. It requires investments in infrastructure, technology, and human capital. In this case, green finance is conducive to channel investments toward sustainable projects and initiatives by providing incentives for environmentally friendly practices and technologies and by encouraging companies and investors to adopt sustainable business models. This paper aims to check the spatial spillover effect of green finance on attaining sustainable development for European Union (EU) countries for 2008–2021. The study applies the spatial Durbin model to explore the research hypothesis. The findings confirm that green finance promotes the achievement of sustainable development goals. However, the impact of green finance on attaining sustainable development is heterogeneous depending on the EU region. In this case, the EU should intensify its green finance policy considering the regional features that significantly affect the achievement of sustainable development goals by reducing greenhouse gas emissions, improving energy efficiency, and promoting renewable energy. In addition, it is necessary to develop alternative financial sources involving green bonds that could be used to fund green projects on renewable energy projects, green building construction, etc.

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来源期刊

Computation Mathematics-Applied Mathematics

CiteScore

3.50

自引率

4.50%

发文量

201

审稿时长

8 weeks

期刊介绍： Computation a journal of computational science and engineering. Topics: computational biology, including, but not limited to: bioinformatics mathematical modeling, simulation and prediction of nucleic acid (DNA/RNA) and protein sequences, structure and functions mathematical modeling of pathways and genetic interactions neuroscience computation including neural modeling, brain theory and neural networks computational chemistry, including, but not limited to: new theories and methodology including their applications in molecular dynamics computation of electronic structure density functional theory designing and characterization of materials with computation method computation in engineering, including, but not limited to: new theories, methodology and the application of computational fluid dynamics (CFD) optimisation techniques and/or application of optimisation to multidisciplinary systems system identification and reduced order modelling of engineering systems parallel algorithms and high performance computing in engineering.