Modeling the circular economy in environmentally extended input-output tables: Methods, software and case study
Autor: | Arnold Tukker, Arjan de Koning, João F.D. Rodrigues, Franco Donati, Glenn A. Aguilar-Hernandez, Carlos Pablo Sigüenza-Sanchez |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Economics and Econometrics
Circular economy Computer science 0211 other engineering and technologies Resource efficiency EEIOA Urbanisation 02 engineering and technology 010501 environmental sciences 01 natural sciences Software Scenarios 021108 energy Waste Management and Disposal Interventions 0105 earth and related environmental sciences computer.programming_language business.industry Python (programming language) Product lifetime Industrial engineering Policy Industrial systems business Environment & Sustainability computer |
Zdroj: | Resources, Conservation and Recycling, 152, 1-12 Resources Conservation and Recycling Resources Conservation and Recycling, 152, 104508 |
Popis: | A circular economy is an industrial system that is restorative or regenerative by intention or design. During the last decade, the circular economy became an attractive paradigm to increase global welfare while minimizing the environmental impacts of economic activities. Although several studies concerning the potential benefits and drawbacks of policies that implement the new paradigm have been performed, there is currently no standardized theoretical model or software to execute such assessment. In order to fill this gap, in the present paper we show how to perform these analyses using Environmentally Extended Input-Output Analysis. We also describe a python package (pycirk) for modeling Circular Economy scenarios in the context of the Environmentally Extended Multi-Regional Input-Output database EXIOBASE V3.3, for the year 2011. We exemplify the methods and software through a what-if zero-cost case study on two circular economy strategies (Resource Efficiency and Product Lifetime Extension), four environmental pressures and two socio-economic factors. © 2019 The Authors |
Databáze: | OpenAIRE |
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