生态现代化理论:前因后果

IF 0.5 Q4 BUSINESS, FINANCE
Dulcimar José Julkovski, Simone Sehnem, David Bennet, M. Leseure
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引用次数: 0

摘要

本研究巩固了生态现代化理论的学术研究现状。EMT从社会学角度出发,进入一系列政治和经济因素,这些因素在过程和实践的支持下被认为是至关重要的。EM预测,在政治、经济和技术条件下,资本家之间的竞争可以重新导向,以实现污染预防的生态效率。基于26年来的文献综述,该研究概述了主题、背景和未来前景的演变。使用Scopus、Web of Science和Science Direct数据库,绘制了291项研究的样本,并对其进行了完整阅读。内容分析是为了抽象当前生态现代化理论的全貌,并推断该学科的发展趋势。本研究的独创性/价值在于,我们将不同的研究视角整合到EM的综合多维结构中,目的是分析EM的前因、与理论相关的工件、方法、开发的研究类型、与EM理论一起探索的结构和子类别背景、相关利益相关者、技术创新,以及公共政策。作为未来研究的视角,我们建议将EMT与循环经济、工业4.0和基于大数据的管理信息系统相结合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ecological Modernization Theory (EMT): Antecedents and Successors
This study consolidates the state of academic research on the Ecological Modernization Theory (EMT). The EMT starts from a sociological perspective and enters into a series of political and economic factors that are considered crucial under the aegis of processes and practices. EM predicts that under political, economic, and technological conditions, competition among capitalists can be redirected to achieve eco-efficiency of pollution prevention. Based on a literature review from across 26 years, the study presents an overview of the evolution of the theme, background, and future perspectives. Using the databases Scopus, Web of Science, and Science Direct, a sample of 291 studies was mapped, which were read in full. Content analysis was conducted to abstract the current panorama of the theory of ecological modernization and to infer trends of the progress of the subject. The originality/value of this study is that we integrate diverse research perspectives into a comprehensive multidimensional structure of EM, with the purpose of analyzing the antecedents, artifacts associated with theory, method, types of studies developed, constructs explored together with the theory of EM and subcategories context, relevant stakeholders, technological innovations, and public policies. As future perspectives for studies, we suggest aligning EMT with circular economy, industry 4.0, and management information systems based on big data.
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