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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Applied Energyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Applied Energy
Article . 2018 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Resource utilization for sustainability enhancement in Japanese industries

Authors: Toshiyuki Sueyoshi; Mika Goto;

Resource utilization for sustainability enhancement in Japanese industries

Abstract

Abstract Recently, many studies have applied environmental assessment based upon data envelopment analysis to measure the performance of various organizations. An important feature of the approach is that it evaluates their economic activities which use inputs to produce desirable (e.g., electricity) and undesirable (e.g., CO2 emission) outputs. To document the practicality, this study discusses the corporate sustainability of Japanese industries. In the application, we need to overcome the three methodological difficulties related to the approach at the initial stage: how to handle zero and/or negative values, how to unify inputs, desirable, and undesirable outputs within a synchronized framework, and how to identify a possible occurrence of a production limit and to identify that of green technology innovation. This study obtains the three empirical findings. First, Japanese firms put more strategic weights on their operational achievements than environmental ones. Second, manufacturing firms outperform non-manufacturing ones, including services, energy utilities and information technology industries, in their operations. Finally, the production limit may occur in most industries under current business surroundings. However, they may overcome the difficulty by investing for production or service assets and green technology. The empirical results are consistent with the current Japanese industrial policy, or so-called “Abenomics,” which centers upon the performance improvement in non-manufacturing industries. We also discuss a significant potential of green technology innovation that the Japanese government does not consider in the current policy agendas.

Country
Japan
  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    18
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Average
Top 10%