Resource rent taxation and benchmarking : a new perspective for the Swiss hydropower sector
      
      
        
      
      
      
      
        
          
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Banfi, Silvia
  Centre for Energy Policy and Economics, ETH Zurich, Switzerland,
          
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Filippini, Massimo
  Istituto microeconomia e economia pubblica (MecoP), Facoltà di scienze economiche, Università della Svizzera italiana, Svizzera
          
 
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
        
        Published in:
        
          
            
            - Energy policy. - Elsevier. - 2010, vol. 38, no. 5, p. 2302-2308
 
       
      
      
      
      
      
       
      
      
      
        
        English
        
        
        
          The electricity generation in Switzerland is mainly based on hydropower  (55% of total production). The exploitation of water in the hydropower  sector can generate significant so-called resource rents. These are  defined by the surplus return above the value of capital, labor, materials  and energy used to exploit hydropower. In Switzerland, hydropower  producers pay to the State a fixed fee per kW gross capacity. With this  system the substantial differences in costs, revenues and in the  production characteristics of the hydropower plants are not taken into  account. In this context, the following paper has two main goals: 1) To  discuss the introduction in the Swiss hydropower sector of a new  payment system based on a resource rent tax; 2) To propose a  combination of a RRT system with a benchmarking analysis of the  production cost obtained through the estimation of a stochastic frontier  variable cost function. We estimate a true random effects stochastic  frontier variable cost function using panel data in order to overcome the  asymmetric information problem. In addition, using the information on  cost efficiency of the single companies, we show how to introduce in  the RRT scheme a benchmark system which gives incentives to  minimize the production costs.
        
        
       
      
      
      
        
        
        
        
        
        
        
        
        
        
        
        
        
        
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                  Economics
                
              
            
          
        
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          green
        
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          Persistent URL
        
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          https://n2t.net/ark:/12658/srd1318221
        
 
   
  
  
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