绿化蓝色经济的思维方式:分析保护水生生态系统的社会环境意识

IF 12.9 1区 管理学 Q1 BUSINESS
Oana-Daniela Lupoae , Dragos Sebastian Cristea , Ștefan Mihai Petrea , Cătălina Iticescu , Riana Iren Radu , Violeta Maria Isai
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引用次数: 0

摘要

为帮助应对全球水污染挑战,本文探讨了在促进可持续水资源管理过程中,公众意识、教育、社会参与和知识转移之间的相互联系。文章采用社会化、外化、结合和内化(SECI)模型和跨理论变革模型(TMC)来研究教育和意识如何影响公民的行为。文章还评估了创业部门对保护水生生物多样性和减少污染的贡献。分析基于 Kruskal-Wallis 和 Mann-Whitney U 检验,以及若干机器学习回归和分类算法。该分析揭示了意识、教育、参与和知识转移之间的复杂关系。本研究的一个关键方面是对人口数据的分析。该分析揭示了不同人口群体对水生生态系统保护的不同认识和参与程度。结果表明,不同年龄、性别、职业和教育水平的人对水生生态系统保护的认识和参与程度也不尽相同,这凸显了有针对性的教育和社会参与战略的重要性。此外,研究结果还强调了企业家在开发和实施创新、可持续解决方案方面的关键作用。这项研究表明,有必要采取综合战略,将教育和创业工作结合起来,以确保更高效、更负责任的管理,从而在减少污染的同时保护水生生态系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A mindset toward greening the blue economy: Analyzing social environmental awareness of aquatic ecosystem protection
To help address global water pollution challenges, this article explores the interconnections between public awareness, education, social engagement, and knowledge transfer in promoting sustainable water resource management. The socialization, externalization, combination, and internalization (SECI) model and the transtheoretical model of change (TMC) are used to examine how education and awareness can influence citizens' behavior. The article also assesses the contribution of the entrepreneurial sector to aquatic biodiversity conservation and pollution reduction. The analysis is based on Kruskal-Wallis and Mann-Whitney U tests, as well as several machine learning regression and classification algorithms. This analysis sheds light on the complex relationships between awareness, education, engagement, and knowledge transfer. A key aspect of this study is the analysis of demographic data. This analysis reveals varying perceptions and levels of engagement with aquatic ecosystem protection across different demographic groups. The results indicate variations by age, gender, occupation, and education level, highlighting the importance of tailored educational and social engagement strategies. Additionally, the results underscore the pivotal role of entrepreneurs in developing and implementing innovative, sustainable solutions. This research reveals the need for integrated strategies that combine educational and entrepreneurial efforts to ensure more efficient and responsible management and thus protect aquatic ecosystems while reducing pollution.
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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