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Returns to Scale and Damages to Scale with Strong Complementary Slackness Conditions in DEA Assessment: Japanese Corporate Effort on Environment Protection

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2004

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Directional distance functions and environmental regulation

233 cited

2007DEA models for ratio data: Convexity consideration210 cited

2011Data envelopment analysis for environmental assessment: Comparison between public and private ownership in petroleum industry208 cited

Cited by

2013DEA environmental assessment: Measurement of damages to scale with unified efficiency under managerial disposability or environmental efficiency49 cited
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2016Returns to damage under undesirable congestion and damages to return under desirable congestion measured by DEA environmental assessment with multiplier restriction: Economic and energy planning for social sustainability in China43 cited
2014Assessing the performance of Taiwan’s environmental protection system with a non-radial network DEA approach42 cited
2015Comparison among U.S. industrial sectors by DEA environmental assessment: Equipped with analytical capability to handle zero or negative in production factors40 cited
2018DEA environmental assessment on US petroleum industry: Non-radial approach with translation invariance in time horizon37 cited
2016Marginal Rate of Transformation and Rate of Substitution measured by DEA environmental assessment: Comparison among European and North American nations35 cited
2017Measuring scale efficiency and returns to scale on large commercial rooftop photovoltaic systems in California35 cited
2015Japanese fuel mix strategy after disaster of Fukushima Daiichi nuclear power plant: Lessons from international comparison among industrial nations measured by DEA environmental assessment in time horizon34 cited
2017An analysis of Spain's global and environmental efficiency from a European Union perspective32 cited
2017Measurement of returns to scale on large photovoltaic power stations in the United States and Germany32 cited
2019A data envelopment analysis (DEA) model for building energy benchmarking26 cited