Industrial Ecology in the Age of Input-Output Analysis

Lifset, Reid

doi:10.1007/978-1-4020-5737-3_1

Cited by 11 publications

(4 citation statements)

References 76 publications

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“…MFA is closely connected to input-output analysis (IO). , One advantage of IO is its provision of a general mathematical model for the product-to-use-matrix, meaning it can accommodate possible change in technology, final demand, and institutional setting in a highly transparent manner . Based on our previous studies, ,, this study presents an IO-based dynamic model of MFA that can trace the fate of materials over time and across products in open-loop recycling, with explicit consideration of losses and quality of scrap.…”

Section: Introductionmentioning

confidence: 99%

MaTrace: Tracing the Fate of Materials over Time and Across Products in Open-Loop Recycling

Nakamura

Kondo

Kagawa

et al. 2014

Environ. Sci. Technol.

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Even for metals, open-loop recycling is more common than closed-loop recycling due, among other factors, to the degradation of quality in the end-of-life (EoL) phase. Open-loop recycling is subject to loss of functionality of original materials, dissipation in forms that are difficult to recover, and recovered metals might need dilution with primary metals to meet quality requirements. Sustainable management of metal resources calls for the minimization of these losses. Imperative to this is quantitative tracking of the fate of materials across different stages, products, and losses. A new input-output analysis (IO) based model of dynamic material flow analysis (MFA) is presented that can trace the fate of materials over time and across products in open-loop recycling taking explicit consideration of losses and the quality of scrap into account. Application to car steel recovered from EoL vehicles (ELV) showed that after 50 years around 80% of the steel is used in products, mostly buildings and civil engineering (infrastructure), with the rest mostly resided in unrecovered obsolete infrastructure and refinery losses. Sensitivity analysis was conducted to evaluate the effects of changes in product lifespan, and the quality of scrap.

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Section: Introductionmentioning

confidence: 99%

MaTrace: Tracing the Fate of Materials over Time and Across Products in Open-Loop Recycling

Nakamura

Kondo

Kagawa

et al. 2014

Environ. Sci. Technol.

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“…15 LCA, in particular, has used input-output models extensively. An input-output LCA approach extends economic input-output tables to include data on resource use and environmental releases, which means that inputoutput LCA can quantify the material and energy flows through the complete supply chain of economic activity that is involved in producing the good or service (Lifset, 2009). 16 LCA can also utilize a hybrid approach that combines conventional processtype analysis and input-output analysis.…”

Section: The Use Of Economic Input-output Models In Industrial Ecologymentioning

confidence: 99%

An Economic Perspective on Industrial Ecology

Manderson¹,

Considine²

2018

Review of Environmental Economics and Policy

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Industrial ecology aims to identify how the environmental performance of industrial systems can be improved. Key analytical tools of industrial ecology include material flow analysis, which tracks flows of materials from source to sink, and life cycle assessment, which quantifies the environmental impacts of a product across all stages of its life cycle. Although industrial ecology is considered to be a multidisciplinary field that includes the social sciences, economic analysis has not been fully incorporated into the industrial ecology literature and vice versa. Thus, both industrial ecology and economics would likely benefit from closer collaboration. The main objectives of this article are: (1) to introduce key concepts and techniques of analysis in industrial ecology; (2) to identify important developments at the intersection of industrial ecology and economics; and (3) to suggest areas for future collaboration and integration of the two disciplines. We argue that economists can play an important role in expanding and deepening industrial ecology and addressing the current gaps in the literature, thus improving the ability of industrial ecology to reach its full potential as a policy-supporting tool.

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“…System is defined as “a structured assemblage of elements and subsystems that interact through interfaces and between the system and its environment” as is cited in Dijkema and Basson (, 158) . The systems approach analyzes the system and its environment, widening the scope of the study beyond the facility's physical boundaries, and consequently supports the decision‐making process (Lifset ). Thus a systems approach is generally useful, but because the evolution of EIPs shows features such as uncertainty and complex behavior, a more specific theoretical framework is needed for understanding their behavior.…”

Section: Choosing a Framework For Modelingmentioning

confidence: 99%

Framework for Applying a Complex Adaptive System Approach to Model the Operation of Eco‐Industrial Parks

Romero

Ruiz

2013

J of Industrial Ecology

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SummaryModels of eco-industrial parks (EIPs) might help us transform our production systems by fostering the emergence of sustainable EIPs since such models have the potential to support the decision-making processes of cooperative companies that participate and to decrease operational uncertainties. In this article, a conceptual framework for modeling the operation of EIPs is presented. The framework is underpinned by complex adaptive systems theory, industrial ecology, and an analysis of the experiences of existing EIPs. The proposed framework draws on the observed strengths of two types of industrial symbiosis models-planned eco-industrial parks (PEIPs) and EIPs that developed through self-organizing symbiosis (SOS)-as well as their observed weaknesses and the features of complex adaptive systems. From this analysis, five key properties to be modeled are deduced: functionality, reliability, life span, theoretical knowledge, and adaptability. It is proposed that the properties of functionality and theoretical knowledge are determined by the goals of the EIP and its member companies, while the property of adaptability is determined by the understanding that the companies in an EIP have of the environment surrounding the EIP, while the properties of reliability and life span are determined by the internal and external relationships of the companies that make up an EIP. Keywords:complexity industrial ecology influential factors nested systems planned eco-industrial parks (PEIPs) self-organizing symbiosis (SOS)

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Industrial Ecology in the Age of Input-Output Analysis

Cited by 11 publications

References 76 publications

MaTrace: Tracing the Fate of Materials over Time and Across Products in Open-Loop Recycling

MaTrace: Tracing the Fate of Materials over Time and Across Products in Open-Loop Recycling

An Economic Perspective on Industrial Ecology

Framework for Applying a Complex Adaptive System Approach to Model the Operation of Eco‐Industrial Parks

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