Environmental Accounting of Eco-innovations through Environmental Input–Output Analysis: The Case of Hydrogen and Fuel Cells Buses

Cantono, Simona; Heijungs, Reinout; Kleijn, René

doi:10.1080/09535310802346351

Cited by 9 publications

(8 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Resource use efficiency, Productivity change [1,7] Drawing upon previous studies, we re-conceptualize the measurement of eco-innovation. Despite the fact that eco-innovation is composed of a gradual evolution towards sustainability, existing studies are highly dependent on the capability of a firm [42][43][44][45][46]. This emphasis has led scholars to neglect potential factors affecting a nation's eco-innovation.…”

Section: Eco-innovation Measurementmentioning

confidence: 99%

Eco-Innovation for Sustainability: Evidence from 49 Countries in Asia and Europe

Jo,

Roh,

Kim

et al. 2015

Sustainability

View full text Add to dashboard Cite

Abstract:Following the trend on focusing on a nation's economic-growth, side effects such as resource exhaustion, environmental pollution, and social injustice have begun to appear. As a solution, eco-innovation has received a great amount of attention from European countries and as a result, many efforts to analyze the development of eco-innovation quantitatively have been made. This study aims to evaluate the validity of an eco-innovation index developed to support the sustainable development goal. For this purpose, four factors of eco-innovation-capacity, supportive environment, activity, and performance-were applied to three categories of the Triple-Bottom-Line (TBL) concept in sustainability to compare the eco-innovation development level of 49 Asia-Europe Meeting countries. Factors for eco-innovation and TBL at the country level were organized in quartile and compared to see strength and weaknesses for each nation. In order to test if eco-innovation factors of a nation adequately reflect its sustainability, we used various comparisons of ANOVA. The results of this study are as follows: First, the one-way ANOVA tests present the scores for capacity, supportive environment, and performance as grouped into four quartiles in the same pattern as their economic, social, and environmental scores. The three-way ANOVA tests showed significance for the economic category. Scores for capacity, supportive environment, activity and performance were significant at a nation's economic level. Lastly, the MANOVA test revealed that TBL significantly explains four eco-innovation factors. In addition, the eco-innovation performance level of European nations and Asian nations were compared. The possibility that many nations still have room to be competitive in their eco-innovation efforts was identified. Nations with unbalanced eco-innovation growth are urged to implement new strategies to balance their growth. Therefore, this research contributes to extending research on eco-innovation.

show abstract

Section: Eco-innovation Measurementmentioning

confidence: 99%

Eco-Innovation for Sustainability: Evidence from 49 Countries in Asia and Europe

Jo,

Roh,

Kim

et al. 2015

Sustainability

View full text Add to dashboard Cite

show abstract

“…Industrial ecology methods have reached high levels of sophistication and are broadly applied in companies and academia alike, but their use for prospective assessment of transformation strategies has remained a niche application. Prospective scenario exercises for I/O tables have repeatedly been conducted over the last decades (Cantono et al 2008 ;De Koning et al 2015 ;de Lange 1980 ;Idenburg and Wilting 2000 ;Leontief and Duchin 1986 ;Levine et al 2007 ), but this modeling approach has not entered mainstream research on society's future metabolism. The reason may be twofold: (1) constructing I/O tables for future years requires many assumptions to be made and (2) using I/O tables in monetary units to measure interindustry fl ows, as in the studies above, makes it diffi cult to include physical process descriptions for specifi c technologies.…”

Section: Prospective Modeling With Established Ie Methodsmentioning

confidence: 99%

Prospective Models of Society’s Future Metabolism: What Industrial Ecology Has to Contribute

Pauliuk

Hertwich

2016

Taking Stock of Industrial Ecology

View full text Add to dashboard Cite

Scientifi c assessment of sustainable development strategies provides decision-makers with quantitative information about the strategies' potential effect. This assessment is often done by forward-looking or prospective computer models of society's metabolism and the natural environment. Computer models in industrial ecology (IE) have advanced rapidly over the recent years, and now, a new family of prospective models is available to study the potential effect of sustainable development strategies at full scale. We outline general principles of prospective modeling and describe the current development status of two prospective model types: extended dynamic material fl ow analysis and THEMIS (Technology-Hybridized Environmental-Economic Model with Integrated Scenarios). These models combine the high level of technological detail known from life-cycle assessment (LCA) and material fl ow analysis (MFA) with the comprehensiveness of, respectively, dynamic stock models and input/output analysis (I/O). These models are dynamic; they build future scenarios with a time horizon until 2050 and beyond. They were applied to study the potential effect of a wide spectrum of sustainable development strategies, including renewable energy supply, home weatherization, material effi ciency, and light-weighting. We point out future applications and options for model development and discuss the relation between prospective IE models and the related concept consequential LCA (CLCA). The prospective models for industrial ecology can answer questions that were previously in the exclusive domain of integrated assessment models (IAMs). A debate about the relation between the two model families is necessary.

show abstract

“…Research approaches to LCA combinations with various economic assessment and decision-support tools are not recent-e.g., multicriteria decision making analysis [84], stochastic optimization [85], full cost accounting [86]-and have been extensively reviewed [87]. When one can assume a fixed structure of the economy, many authors have turned to environmental input-output-LCA (EIO-LCA) [88][89][90][91]. EIO-LCA can eliminate the arbitrariness in system boundary's definition, thereby helping to cope with truncation errors [92].…”

Section: Inclusion Of Economic and Social Aspectsmentioning

confidence: 99%

A Reflection of the Use of the Life Cycle Assessment Tool for Agri-Food Sustainability

et al. 2018

View full text Add to dashboard Cite

In pursuit of agricultural sustainability and food security, research should contribute to policy-making by providing scientifically robust evidence. Life cycle assessment (LCA) is an excellent candidate for generating that evidence, thereby helping the selection of interventions towards more sustainable agri-food. The purpose of this article is proposing a basis for discussion on the use of the LCA tool for targeting and monitoring of environmental policy interventions in agri-food. The problem of reducing the environmental burden in agri-food can be tackled by acting on the supply and/or demand sides and may benefit from the collaboration of supply chain stakeholders. Agri-food policies that most benefit from LCA-based data concern cross-border pollution, transaction costs following the adoption of environmental standards, adoption of less polluting practices and/or technologies, and business-to-consumer information asymmetry. The choice between the methodological options available for LCA studies (attributional, consequential, or hybrid models) depends on the purpose and scope of the study. The possibility of integrating the LCA with economic and social impact assessments—e.g., under the life cycle sustainability assessment framework—makes LCA an excellent tool for monitoring business or sectoral-level achievements with respect to UN 2030 Sustainable Development Goals.

show abstract

Environmental Accounting of Eco-innovations through Environmental Input–Output Analysis: The Case of Hydrogen and Fuel Cells Buses

Cited by 9 publications

References 14 publications

Eco-Innovation for Sustainability: Evidence from 49 Countries in Asia and Europe

Eco-Innovation for Sustainability: Evidence from 49 Countries in Asia and Europe

Prospective Models of Society’s Future Metabolism: What Industrial Ecology Has to Contribute

A Reflection of the Use of the Life Cycle Assessment Tool for Agri-Food Sustainability

Contact Info

Product

Resources

About