Economic complexity and the sustainability transition: a review of data, methods, and literature

IF 2.6 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Bernardo Caldarola, Dario Mazzilli, Lorenzo Napolitano, Aurelio Patelli and Angelica Sbardella
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引用次数: 0

Abstract

Economic Complexity (EC) methods have gained increasing popularity across fields and disciplines. In particular, the EC toolbox has proved particularly promising in the study of complex and interrelated phenomena, such as the transition towards a more sustainable economy. Using the EC approach, scholars have been investigating the relationship between EC and sustainability, and identifying the distinguishing characteristics of green activities and to assess the readiness of productive and technological structures for the sustainability transition. This article proposes to review and summarize the data, methods, and empirical literature that are relevant to the study of the sustainability transition from an EC perspective. We review three distinct but connected blocks of literature on EC and environmental sustainability. First, we survey the evidence linking measures of EC to indicators related to environmental sustainability. Second, we review articles that strive to assess the green competitiveness of productive systems. Third, we examine evidence on green technological development and its connection to non-green knowledge bases. Finally, we summarize the findings for each block, while identifying criticalities and avenues for further research in this recent and growing body of empirical literature.
经济复杂性和可持续性转型:数据、方法和文献综述
经济复杂性(Economic Complexity,EC)方法在各个领域和学科越来越受欢迎。特别是,事实证明,经济复杂性工具箱在研究复杂和相互关联的现象(如向更可持续的经济转型)方面特别有前途。学者们一直在使用生态经济方法研究生态经济与可持续发展之间的关系,确定绿色活动的显著特征,并评估生产和技术结构是否为可持续发展转型做好了准备。本文拟回顾和总结与从欧共体角度研究可持续性转型相关的数据、方法和实证文献。我们回顾了有关欧共体和环境可持续性的三组不同但相互关联的文献。首先,我们调查了将欧共体措施与环境可持续性相关指标联系起来的证据。其次,我们回顾了致力于评估生产系统绿色竞争力的文章。第三,我们研究了绿色技术发展及其与非绿色知识基础之间联系的证据。最后,我们总结了每个部分的研究结果,同时指出了最近不断增加的实证文献中的关键问题和进一步研究的途径。
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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来源期刊
Journal of Physics Complexity
Journal of Physics Complexity Computer Science-Information Systems
CiteScore
4.30
自引率
11.10%
发文量
45
审稿时长
14 weeks
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