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Environmental Concerns in Water Pricing Policy: an Application of Data Envelopment Analysis (DEA)
The research evaluates irrigation water pricing policies in Puglia, Italy, using a two-step process: simulation via mathematical programming and efficiency analysis via Data Envelopment Analysis (DEA). The study compares technical efficiency with 'eco-efficiency,' which simultaneously considers economic outputs and environmental externalities. Results indicate that volumetric pricing methods are generally the most efficient, while inefficiency in other options is primarily driven by technical factors, specifically labour use, rather than environmental concerns like nitrate surplus or pesticide risk.
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Document type: Research paper