专题:Efficiency Analysis Using DEA

This cluster of papers focuses on the analysis of efficiency, productivity growth, and resource allocation in various sectors such as production processes, energy, banking, healthcare, and education. The papers employ methods like Data Envelopment Analysis (DEA) and non-parametric frontier models to measure technical, environmental, and energy efficiency, as well as to evaluate the performance of different organizations and industries.
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Pathways to agricultural water use efficiency in the Yangtze River economic belt: Technological, economic, and institutional perspectives

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Driving analysis and multi-scenario simulation of water-energy-food system efficiency in the Yellow River Basin: An integrated XGBoost and LSTM analysis

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Clear Waters, Flourishing Growth: Decoupling Water Pollution From Economic Growth in Shanxi Province, China

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Explainable DEA–ensemble approach with golden jackal optimization: efficiency evaluation and prediction for United States information technology firms

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Does the dual-pilot policy of low-carbon city and sci-tech finance improve urban green total factor productivity?

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The path to green efficiency: The critical role of digital infrastructure in industrial upgrading and environmental sustainability

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Turning green into gold: How does green total factor productivity boost economic growth?

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Has rural depopulation reduced agricultural land use efficiency? Mediating roles of cropland abandonment, scale operation, and cultivation structure

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How Does AI Technology Innovation Drive Carbon Emission Efficiency? A Machine Learning–Based Meta‐Frontier Analysis Across 75 Countries

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A Multicriteria Approach to the Study of the Energy Transition Results for EU Countries

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