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Resource utilization for sustainability enhancement in Japanese industries

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.
- New Mexico Institute of Mining and Technology United States
- New Mexico Institute of Mining and Technology United States
- Institute of Science Tokyo Japan
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%
