编辑: 飞鸟 | 2017-09-23 |
14 670.00 1130.43 Connections [number] con 911.00 5437.00 10?837.61 262?000.00 22?751.33 Environmental?variables Output density?[ratio] mmw 1.70 6.98 8.14 29.93 4.63 Water?losses?[ratio] losses 0.00 0.11 0.12 0.40 0.06 Groundwater usage?[ratio] ground 0.00 1.00 0.83 1.00 0.31 2012\05\30
7 Data?and?Model?Specification
3 ? Summary?Statistics?(364?observations,?year?2006) 2012\05\30
8 Results?I?C DEA?Efficiency?Scores
4 ? Summary?of?DEA?efficiency?scores ? Low?overall?efficiency?levels ? Significant?increase?in?efficiency?when?controlling?for?operating?environment ? Mostly?low?scale?inefficiencies,?majority?of?observations?operating?under?IRS Obs. Min. Median Mean Max. Std.?dev. Standard?DEA?(VRS) full sample
364 0.2571 0.5988 0.6350 1.0000 0.1911 after outlier?detection
356 0.2862 0.6872 0.7130 1.0000 0.1818 Conditional?DEA?(VRS)
356 0.3107 0.8505 0.8423 1.0000 0.1327 Scale?Efficiency unconditional
356 0.5064 0.9669 0.9283 1.0000 0.0975 conditional
356 0.5348 0.9704 0.9344 1.0000 0.0846 Qualitative RTS #?IRS #?CRS #?DRS unconditional
356 203
20 133 conditional
356 174
47 135 2012\05\30 ? Scale?elasticity?for?frontier?units?and?inefficient?units ? IRS?for?smallest?utilities?(scale?elasticity?>
?1),?CRS?or?DRS?for?larger?utilities ? Scale?elasticity?decreasing?with?increasing?firm?size ? No?clear?conclusion?on?optimal?firm?size?level
9 4 Results?II?C Scale?Elasticity?Results 2012\05\30 ? Horizontal?Integration ? Consolidation?on?county\level?( Landkreise ,?NUTS3\regions) ? In?total:?84?cases?of?horizontal?mergers?of?at?least?2?utilities?(maximum:?6,?total:?227) ? Not?covering?all?water?utilities?in?a?county?(missing?data)? ? Assumption?of?non\decreasing?returns?to?scale ? Summary?of?potential?gains?and?decomposition:
10 ? Most?merger?cases?would?be?(more?or?less)?beneficial!
4 Results?III?C Horizontal?Integration Sym. Min. Median Mean Max. Std.?dev. Overall?gains EJ 0.3596 0.8248 0.8337 1.0703 0.0922 Corrected gains E*J 0.7978 0.9582 0.9592 1.1362 0.0740 Learning effect LEJ 0.4238 0.8743 0.8714 1.0000 0.0924 Harmony?effect HAJ 0.8064 0.9699 0.9761 1.3356 0.0833 Scale?effect SIJ 0.7357 1.0000 0.9839 1.0000 0.0375 2012\05\30 ? High?fragmentation?of?water?supply?in?Germany ? High?levels?of?technical?inefficiency?in?some?cases ? Accounting?for?operating?environment?leads?to?significant?increase?in?efficiency?estimates ? Scale?efficiency?usually?high ? Majority?of?water?utilities?characterized?by?increasing?returns?to?scale ? Horizontal?integration?in?most?cases?results?in?efficiency?gains ? But:?high?gains?from?improving?individual?efficiencies?without?any?merger ? Only?analysis?of?potential merger?gains ? Neglects?possible?drawbacks?of?consolidation?(market?power,?competitiveness,?number?of? firms?for?future?benchmark?studies,…) ? Not?all?firms?can?be?merged?due?to?differing?firm?cultures,?corporate?identities,?political? circumstances,?etc.
11 5 Conclusions Thank you for your interest.?Questions and comments are welcome! DIW?Berlin?― Deutsches?Institut für?Wirtschaftsforschung?e.V. Mohrenstra?e?58,?10117?Berlin www.diw.de Michael?Zschille [email protected] 2012\05\30 Bogetoft,?P.?and?Wang,?D.?(2005)?Estimating?the?Potential?Gains?from?Mergers,?Journal?of?Productivity?Analysis,?23,?pp.?145\171. Daraio,?C.?and?Simar,?L.?(2005)?Introducing?Environmental?Variables?in?Nonparametric?Frontier?Models:?A?Probabilistic? Approach,?Journal?of?Pr........