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循环经济的社会和经济因素洞察:对意大利工业和城市垃圾回收部门的研究

Insights on the social and economic factors of the circular economy: A study of the Italian industrial and urban waste recycling sector.

作者信息

Correani Luca, Morganti Patrizio, Benedetti Ilaria, Crescenzi Federico

机构信息

Department of Economics, Engineering, Society and Business, University of Tuscia, Italy.

出版信息

Waste Manag. 2025 Feb 1;193:571-580. doi: 10.1016/j.wasman.2024.12.041. Epub 2025 Jan 8.

DOI:10.1016/j.wasman.2024.12.041
PMID:39787658
Abstract

In order to achieve the ambitious goals of the European Union (EU) Green Deal, Member States must implement an efficient and modern recycling industry that can combine high environmental standards with high economic performance. According to Eurostat, the amount of waste recovered, both industrial and urban, increased by 33.9% from 2004 to 2020, and the share of recovery in total waste treatment rose, respectively, from 45.9% to 59.1%. Among the EU countries, Italy exhibits the highest waste recycling rate (83.2% in 2020). This paper empirically investigates the economic, institutional, and social aspects that may be correlated to the performance of firms involved in industrial and urban waste recycling. Better performing firms would definitely provide larger benefits to the recycling industry, since turning waste into resources is crucial for the transition to a cleaner, climate neutral and circular economy. Working on a panel dataset of 3715 Italian companies, it emerges that firms performance is positively influenced by several firm-specific factors, such as age of experience, size, degree of specialization and digitalization, and by territorial factors, such as separate collection rate, regional GDP, and regional political ideology.

摘要

为实现欧盟绿色新政的宏伟目标,成员国必须建立一个高效且现代化的回收利用产业,使其既能兼顾高环境标准,又能实现高经济效益。据欧盟统计局数据,2004年至2020年期间,工业和城市废弃物回收量增长了33.9%,回收量在废弃物总处理量中的占比也从45.9%升至59.1%。在欧盟国家中,意大利的废弃物回收率最高(2020年为83.2%)。本文实证研究了与工业和城市废弃物回收相关企业绩效可能存在关联的经济、制度和社会因素。表现更佳的企业无疑会给回收利用产业带来更大益处,因为将废弃物转化为资源对于向更清洁、气候中和及循环经济的转型至关重要。基于3715家意大利公司的面板数据集进行研究发现,企业绩效受到若干特定企业因素的正向影响,如经验年限、规模、专业化程度和数字化水平,以及地域因素的影响,如分类收集率、地区国内生产总值和地区政治意识形态。

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