Table 1: AT&C Loss of DISCOMs |
||
States |
AT&C Loss as of May 2017 (in %) |
AT&C Loss as of 26 Oct. 2018 (in %) |
Chhattisgarh |
19.34 |
31.62 |
Jharkhand |
29.9 |
36.97 |
Madhya Pradesh |
25.16 |
31.06 |
Manipur |
36.89 |
43.74 |
Punjab |
17.57 |
31.3 |
Uttar Pradesh |
30.21 |
37.92 |
Uttarakhand |
14.5 |
40.92 |
Maharashtra |
18.3 |
19.87 |
Rajasthan |
23.81 |
27.31 |
Tripura |
16.61 |
23 |
Source: UDAY Portal as accessed on May 2017 and 26 October 2018.
Table 2: ACS-ARR Gap of DISCOMs |
||
States |
ACS-ARR Gap (Rs/Unit kWh) as of May 2017 |
ACS-ARR Gap (Rs/Unit kWh) as of 26 October 2018 |
Chhattisgarh |
-0.15 |
0.5 |
Jharkhand |
1.48 |
1.85 |
Madhya Pradesh |
0.86 |
0.37 |
Manipur |
0.1 |
1.61 |
Punjab |
0.71 |
1.1 |
Uttar Pradesh |
0.66 |
0.37 |
Uttarakhand |
0.14 |
-0.02 |
Assam |
0.65 |
1.04 |
Chhattisgarh |
-0.15 |
0.5 |
Goa |
0.95 |
1.17 |
Haryana |
0.08 |
0.58 |
Tamil Nadu |
0.36 |
0.55 |
Source: UDAY Portal
Table 3: Target vs Achievements of Operational Parameters of UDAY (all states) |
|||||||
Operational Parameters
|
as of May 2017 |
as of 26 Oct.2018 |
|
||||
Progress |
Target |
Average |
Progress |
Target |
Average |
||
Feeder Metering (Urban) * |
46844 |
42422 |
110.42 |
47071 |
42103 |
111.80 |
26 (24^)states |
Feeder Metering (Rural) * |
96977 |
97200 |
99.77 |
107512 |
98164 |
109.52 |
27 (24^) states |
DT Metering (Urban) * |
879540 |
1624193 |
54.15 |
965156 |
1536033 |
62.83 |
26 (24^) states |
DT Metering (Rural) * |
1728778 |
4164334 |
41.51 |
2472428 |
4156483 |
59.48 |
26 (22^) states |
Electricity Access to Unconnected Households # |
1470.16 |
1851.38 |
79.41 |
1798.58 |
2053.1 |
87.60 |
29 (24^)states |
Smart Metering above 500 kWh * |
132660 |
5011130 |
2.65 |
193115 |
5733302 |
3.37 |
27 (23^) states |
Smart Metering above 200 kwh up to 500 kWh * |
155046 |
17449484 |
0.89 |
191257 |
18429956 |
1.04 |
27 (23^)states |
Feeder Segregation * |
35736 |
61542 |
58.07 |
40574 |
63090 |
64.31 |
18 (17^) states |
Rural Feeder Audit * |
92896 |
97828 |
94.96 |
250458 |
97676 |
256.42 |
26(24^) states |
Distribution of LEDs under UJALA# |
2168.99 |
2382.96 |
91.02 |
2709.1 |
2299.25 |
117.83 |
26 (22^) states |
Source: UDAY Portal
Note: * measured as no. of units ; # measured in lakhs; ^ indicates the original states taken up for analysis
One cannot rely on the “average performance” figure of the operational parameters of all states together, because the aggregate performance largely shows up a few states who are achievers with almost 100% achievements. It is crucial to move beyond the “fallacy of aggregation” and focus on lagging states. Our analysis based on the state-specific file sheets – State Health Cards - given in the state-wise dashboards, reveals that there are serious concerns in making the DISCOMs sustainable.
1. http://pib.nic.in/newsite/PrintRelease.aspx?relid=124450
2. http://pib.nic.in/newsite/PrintRelease.aspx?relid=171101
The authors are an Economist and an Associate Professor at NIPFP respectively.
The views expressed in the post are those of the authors only. No responsibility for them should be attributed to NIPFP.