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Performance measurement and joint production of intended and unintended outputs
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Performance measurement and joint production of intended and unintended outputs (2021)Performance measurement and joint product…Theory of Cost and Production Functions (2015)Theory of Cost and Production…The Porter Hypothesis at 20: Can Environmental Regulation Enhance Innovation and Competitiveness? (2013)The Porter Hypothesis at 20: …Production, Consumption, and Externalities (2012)Production, Consumption, and …On modeling pollution-generating technologies (2012)On modeling pollution-generat…Environmental Policy, Innovation and Performance: New Insights on the Porter Hypothesis (2011)Environmental Policy, Innovat…Data Envelopment Analysis (2007)Data Envelopment AnalysisAn Introduction to Efficiency and Productivity Analysis (2005)An Introduction to Efficiency…Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software (1999)Data Envelopment Analysis: A …An Introduction to Efficiency and Productivity Analysis (1998)An Introduction to Efficiency…Productivity and Undesirable Outputs: A Directional Distance Function Approach (1997)Productivity and Undesirable …Productivity and intermediate products: A frontier approach (1996)Productivity and intermediate…Toward a New Conception of the Environment-Competitiveness Relationship (1995)Toward a New Conception of th…Non-parametric efficiency, progress and regress measures for panel data: Methodological aspects (1995)Non-parametric efficiency, pr…Multilateral Productivity Comparisons When Some Outputs are Undesirable: A Nonparametric Approach (1989)Multilateral Productivity Com…The Measurement of Efficiency of Production (1985)The Measurement of Efficiency…Theory of Cost and Production Functions. (1972)Theory of Cost and Production…Separation of Ownership and Control (1983)A slacks-based measure of super-efficiency in data envelopment analysis (2002)Handbook of Quantitative Science and Technology Research (2005)Network DEA: A slacks-based measure approach (2008)Competitive Advantage: Creating and Sustaining Superior Performance (1985)The Competitive Advantage of Nations (1991)Redefining innovation — eco-innovation research and the contribution from ecological economics (2000)Green supply‐chain management: A state‐of‐the‐art literature review (2007)The roads ahead: Narratives for shared socioeconomic pathways describing world futures in the 21st century (2015)The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity (1982)Modeling undesirable factors in efficiency evaluation (2002)Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach (2012)Green and competitive: ending the stalemate (1995)Environmental Regulation and Innovation: A Panel Data Study (1997)Environmental Policy and Directed Technological Change: Evidence from the European Carbon Market (2014)Environmental regulation, green technology innovation, and industrial structure upgrading: The road to the green transformation of Chinese cities (2021)Stochastic Frontier Analysis (2000)Ecological total-factor energy efficiency of regions in China (2012)Data envelopment analysis: Prior to choosing a model (2013)The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals (2018)Characteristics of a polluting technology: theory and practice (2004)A survey of data envelopment analysis in energy and environmental studies (2007)A global Malmquist-Luenberger productivity index (2010)Exact and superlative index numbers (1976)An Almost Ideal Demand System (1980)Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models (1998)Estimation and inference in two-stage, semi-parametric models of production processes (2005)Total-factor energy efficiency of regions in China (2005)Data envelopment analysis (DEA) – Thirty years on (2008)Recent developments in DEA (1990)
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References

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  • 2012On modeling pollution-generating technologies

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540 cited
  • 1995Non-parametric efficiency, progress and regress measures for panel data: Methodological aspects523 cited
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