Tasdsdsdbles_1

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TABLE LEGENDS Table 1. Descriptive statistics of input and output variables used in the model Minimum Maximum Mean Standard Deviation Desirable Inputs x 1 : Network line length (km) 2077 818507 136555. 1 152293 x 2 : Number of employees 1130 116266 11891.8 6 15784.23 x 3 : Energy losses (MU) 84.67 20665 2461.04 2138.81 Desirable Outputs y 1 : Electricity sold (MU) 161.67 71280 8934.33 10585.17 y 2 :Number of end consumers (in thousands) 134.13 22340 2905.06 3630.36 Table 2. Maximum likelihood estimates of input distance function parameters

Transcript of Tasdsdsdbles_1

TABLE LEGENDSTable 1. Descriptive statistics of input and output variables used in the model MinimumMaximumMeanStandard Deviation

Desirable Inputs

x1: Network line length (km)2077818507136555.1152293

x2: Number of employees 113011626611891.8615784.23

x3: Energy losses (MU)84.67206652461.042138.81

Desirable Outputs

y1: Electricity sold (MU)161.67712808934.3310585.17

y2:Number of end consumers (in thousands)134.13223402905.063630.36

Table 2. Maximum likelihood estimates of input distance function parametersVariableCoefficientStandard- errort-ratio

1.1430.073815.470

-0.3250.051-6.318***

-0.2590.053-4.891***

-0.0360.1120.322*

-0.0540.055-0.980*

-0.0370.071-0.523

0.2820.0377.494***

0.3300.02612.520***

0.0990.0234.207***

0.0760.0193.932***

-0.2120.028-7.416

0.0330.0560.585*

-0.1180.055-2.152**

0.0100.0670.150*

0.1850.0583.201***

0.0080.0080.992*

-0.0020.003-0.571

-0.0270.006-4.121***

0.0240.0083.023***

-0.0210.011-1.176*

0.0240.0121.924*

0.2020.0287.135

0.9690.0037259.9

0.8850.08810.032

0.0210.0082.383

178.087

***, ** and * = Significant at 1%, 5% and 10% level of confidence.

Table 3. Year wise Malmquist TFP Change DecompositionYearTechnical Eff. ChangeTechnological ChangeScale Efficiency ChangeTFP Growth

2007/08 2008/092.251.4-1.7262.096

2008/09 2009/102.3680.69681.3854.449

2009/10 2010/112.325-0.06252.4464.708

2010/11 2011/122.422-0.46125.116.898

Mean2.34120.39321.80374.538

Table 4. Utility-wise X-factor ComputationUtilityMean Efficiency ScoreCatch-UpFrontier shiftX-Factor

Ajmer VVNL0.19823.72147.721

APCPDCL0.29443.30247.302

APEPDCL0.51362.32146.321

APNPDCL0.32283.17747.177

APSPDCL0.306043.25147.251

Arunachal Pradesh Power Department0.2073.68347.683

Assam PDCL0.29043.32047.320

BESCOM0.34183.09347.093

BEST0.60121.91845.918

BSEB0.187263.76847.768

BSES RPL0.382362.82346.823

BSES YPL0.382262.91346.913

CalcuttaESC0.55062.15246.152

CESU / CESCO0.31743.20147.201

Chandigarh Elect. Deptt0.939320.30144.301

CHESCOM0.3882.88846.888

CSEB0.23023.58247.582

DGVCL0.50862.34446.344

DHBVNL0.277643.37647.376

DVVNL0.27883.37047.370

GESCOM0.35643.02847.028

Goa Electricity Deptt.0.48222.46446.464

HESCOM0.31143.22747.227

HPSEB0.265723.42847.428

J&K Power Deptt.0.31383.21747.217

Jaipur VVNL0.19843.72047.720

Jodhpur VVNL0.21923.63047.630

JSEB0.2913.31747.317

KESCO0.5412.19646.196

KSEB0.2953.29947.299

Maharashtra SEDCL0.17363.82747.827

Manipur Elect Deptt.0.39162.87246.872

MeghalayaECL0.35823.02047.020

MESCOM0.42282.73246.732

MGVCL0.43442.68046.680

Mizoram Elect. Deptt.0.49582.40246.402

MPMKVVCL0.19143.75047.750

MPPaschimKVVCL0.2143.65347.653

MPPoorvKVVCL0.1963.73147.731

MVVNL0.18263.78847.788

Nagaland Elect. Deptt.0.39882.84046.840

NESCO0.38262.91246.912

PGVCL0.24143.53447.534

PSEB0.182823.78747.787

Puducherry Elect Deptt0.85880.69644.696

PuVVNL0.1553.90747.907

PVVNL0.26483.43247.432

R-Infra0.987820.06044.060

SOUTHCO0.37782.93346.933

Tata NDPL0.5871.98445.984

TNEB0.22963.58547.585

Torrent Power Ltd0.7111.40445.404

Tripura State Elect Corp Ltd0.3992.83946.839

UGVCL0.3722.95946.959

UHBVNL0.2793.37047.370

Uttaranchal PCL0.37082.96446.964

WBSEDCL0.27823.37347.373

WESCO0.32723.15847.158

Mean0.36642.97146.971