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Measuring the efficiency of wastewater services through Data Envelopment Analysis.
A Guerrini1, G Romano2, C Leardini1
1Department of Business Administration, University of Verona, Via dell'Artigliere, 19, 37129 Verona, Italy
Vertical integration and higher population density improve wastewater utility efficiency in Denmark. Larger firms may see decreased technical efficiency despite overall stable global efficiency.
Area of Science:
- Environmental Economics
- Public Utilities Management
- Water Resource Management
Background:
- Operational efficiency in European Union water utilities is often suboptimal.
- Industry restructuring, including consolidation and vertical integration, is occurring to reduce costs.
- The existence of economies of scale and scope, and the impact of customer density, remain debated in the water sector.
Purpose of the Study:
- To investigate the effects of firm size, scope (water and wastewater services), and population density on wastewater utility efficiency in Denmark.
- To analyze the relationship between operational structure and efficiency using a data envelopment analysis approach.
- To provide empirical insights into factors driving efficiency in the Danish wastewater industry.
Main Methods:
- A two-stage Data Envelopment Analysis (DEA) was employed.
- The study analyzed data from the Danish wastewater industry.
- Key variables included firm size, vertical integration, and population density.
Main Results:
- Vertical integration and higher population density (over 100 persons/km of sewer) positively impact wastewater utility efficiency.
- Firms combining water and wastewater services demonstrate improved efficiency.
- Firm size did not significantly influence global efficiency, but technical pure efficiency decreased with increasing size.
Conclusions:
- Vertical integration and population density are key drivers of efficiency in the Danish wastewater sector.
- Combining water and wastewater services offers efficiency gains.
- While larger firms do not achieve better overall efficiency, understanding the nuances of technical efficiency is crucial for industry optimization.
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