India’s urban population has grown by 32% from 2001 to 2011 as compared to 18% growth in total population of the country.[1]  As per Census 2011, 31% of the country’s population (377 million people) live in cities, and contribute to 63% of the country’s GDP.[2]  The urban population is projected to grow up to 600 million by 2031.2  With increasing urban population, the need for providing better infrastructure and services in cities is increasing.[3]  The government has introduced several schemes to address different urban issues.  These include the Atal Mission for Rejuvenation and Urban Transformation (AMRUT), Smart Cities Mission, Heritage City Development and Augmentation Yojana (HRIDAY), Pradhan Mantri Awas Yojana – Housing for All (Urban) (PMAY-U), and Swachh Bharat Mission (Urban).

Last week the Ministry of Urban Development released the next batch of winners under the Smart Cities Mission.[4]  This takes the number of smart cities to 90.  The government has also announced a few policies and released data indicators to help with the implementation of the urban schemes.  In light of all this, we discuss how the new schemes are changing the mandate of urban development, the fiscal challenge of implementing such schemes, and the policies that are trying to address some of these challenges.

Urbanisation in India

The Jawaharlal Nehru National Urban Renewal Mission (JnNURM), launched in 2005, was one of the first urban development schemes implemented by the central government.  Under JnNURM, the central government specified certain mandatory and optional reforms for cities, and provided assistance to the state governments and cities that were linked to the implementation of these reforms.  JnNURM focused on improving urban infrastructure and service delivery, community participation, and accountability of city governments towards citizens.

In comparison, the new urban schemes move beyond the mandate that was set by JnNURM.  While AMRUT captures most of the objectives under JnNURM, the other schemes seek to address issues around sanitation (through Swachh Bharat), affordable housing (through PMAY-U), and technology innovation (through Smart Cities).  Further, the new schemes seek to decentralize the planning process to the city and state level, by giving them more decision making powers.2  So, while earlier, majority of the funding came from the central and state governments, now, a significant share of the funding needs to be raised by the cities themselves.

For example, under the Smart Cities Mission, the total cost of projects proposed by the 60 smart cities (winners from the earlier rounds) is Rs 1.3 lakh crore.[5]  About 42% of this amount will come from central and state funding towards the Mission, and the rest will be raised by the cities.[6]

The new schemes suggest that cities may raise these funds through: (i) their own resources such as collection of user fees, land monetization, property taxes, etc., (ii) finance mechanisms such as municipal bonds, (iii) leveraging borrowings from financial institutions, and (iv) the private sector through Public Private Partnerships (PPPs).[7]

In 2011, an Expert Committee on Indian Urban Infrastructure and Services (HPEC) had projected that creation of the required urban infrastructure would translate into an investment of Rs 97,500 crore to Rs 1,95,000 crore annually.[8]  The current urban schemes are investing around Rs 32,500 crore annually.

Financial capacity of cities

Currently, the different sources of revenue that municipal corporations have access to include: (i) tax revenue (property tax, tax on electricity, toll tax, entertainment tax), (ii) non-tax revenue (user charges, building permission fees, sale and hire charges), (iii) grants-in-aid (from state and central governments), and (iv) debt (loans borrowed from financial institutions and banks, and municipal bonds).

While cities are now required to raise more financing for urban projects, they do not have the required fiscal and technical capacity.8,[9]  The HPEC had observed that cities in India are among the weakest in the world, both in terms of capacity to raise resources and financial autonomy.  Even though cities have been getting higher allocations from the centre and states, their own tax bases are narrow.8  Further, several taxes that cities can levy are still mandated by the state government.  Because of their poor governance and financial situation, cities also find it difficult to access external financing.8,7

In order to help cities improve their finances, the government has introduced a few policies, and released a few indicators.  Some of these are discussed below:

Policy proposals and data indicators

Value Capture Financing (VCF):  The VCF policy framework was introduced by the Ministry of Urban Development in February 2017.[10]  VCF is a principle that states that people benefiting from public investments in infrastructure should pay for it.  Currently when governments invest in roads, airports and industries in an area, private property owners in that area benefit from it.  However, governments recover only a limited value from such investments, constraining their ability to make further public investments elsewhere.  VCF helps in capturing a part of the increment in the value of land due to such investments, and use it to fund new infrastructure projects.

The different instruments of VCF include: land value tax, fee for changing land use, betterment levy, development charges, transfer of development rights, and land pooling systems.10  For example, Karnataka uses certain value capture methods to fund its mass transit projects.  The Mumbai Metropolitan Region Development Authority (MMRDA), and City and Industrial Development Corporation Limited (CIDCO) have used betterment levy (tax levied on land that has gained in value because of public infrastructure investments) to finance infrastructure projects.

Municipal bonds:  Municipal bonds are bonds issued by urban local bodies (municipal corporations or entities owned by municipal bodies) to raise money for financing specific projects such as infrastructure projects.  The Securities and Exchange Board of India regulations (2015) regarding municipal bonds provide that, to issue such bonds, municipalities must: (i) not have negative net worth in any of the three preceding financial years, and (ii) not have defaulted in any loan repayments in the last one year.[11]  Therefore, a city’s performance in the bond market depends on its fiscal performance.  One of the ways to determine a city’s financial health is through credit ratings.

Credit rating of cities:  In September 2016, the Ministry of Urban Development started assigning cities with credit ratings.[12]  These credit ratings were assigned based on assets and liabilities of the cities, revenue streams, resources available for capital investments, accounting practices, and other governance practices.

Of the total 20 ratings ranging from AAA to D, BBB is the ‘Investment Grade’ rating and cities rated below BBB need to undertake necessary interventions to improve their ratings for obtaining positive response to the Municipal Bonds to be issued.  By March 2017, 94 cities were assigned credit ratings, 55 of which got ‘investment grade’ ratings.[13]

Credit ratings indicate what projects might be more lucrative for investments.  This, in turn, helps investors decide where to invest and determine the terms of such investments (based on the expected returns).

Earlier this month, the Pune Municipal Corporation raised Rs 200 crore through the sale of municipal bonds, to finance water supply projects under the Smart Cities Mission.[14]  The city had received an AA+ credit rating (second highest rating) in the recent credit rankings assigned by the central government.

Other than credit ratings, the Ministry of Urban Development has also come up with other data indicators around cities such as the Swachh Bharat rankings, and the City Liveability Index (measuring mobility, access to healthcare and education, employment opportunities, etc).  These rankings seek to foster a sense of competition across cities, and also help them map their performances year on year.

Some financing mechanisms, such as municipal bonds, have been around in India for the last two decades, but cities haven’t been able to make much use of them.  It remains to be seen whether the introduction of indicators such as credit ratings helps the municipal bond market take off.  While these mechanisms may improve the finances of cities, the question is would more funding solve the cities’ problems.  Or would it require municipal government to take a different approach to problem solving.

[1] Census of India, 2011.

[2] Mission Statement and Guidelines, Smart Cities, Ministry of Urban Development, June 2015, http://smartcities.gov.in/writereaddata/SmartCityGuidelines.pdf.

[3] Report on Indian Urban Infrastructure and Services, March, 2011, The High Powered Expert Committee for estimating the investment requirements for urban infrastructure services, http://icrier.org/pdf/FinalReport-hpec.pdf.

[4] “30 more smart cities announced; takes the total to 90 so far”, Press Information Bureau, Ministry of Urban Development, June 23, 2017.

[5]  Smart Cities Mission, Ministry of Urban Development, last accessed on June 30, 2017, http://smartcities.gov.in/content/.

[6] Smart City Plans, Last accessed in June 2017.

[7] “Financing of Smart Cities”, Smart Cities Mission, Ministry of Urban Development, http://smartcities.gov.in/upload/uploadfiles/files/Financing%20of%20Smart%20Cities.pdf.

[8] “Report on Indian Urban Infrastructure and Services”, March, 2011, The High Powered Expert Committee for estimating the investment requirements for urban infrastructure services, http://icrier.org/pdf/FinalReport-hpec.pdf.

[9] Fourteenth Finance Commission, Ministry of Finance, February 2015, http://finmin.nic.in/14fincomm/14fcrengVol1.pdf.

[10] Value Capture Finance Policy Framework, Ministry of Urban Development, February 2017, http://smartcities.gov.in/upload/5901982d9e461VCFPolicyFrameworkFINAL.pdf.

[11] Securities and Exchange Board of India (Issue and Listing of Debt Securities by Municipalities) Regulations, 2015, Securities and Exchange Board of India, July 15, 2015, http://www.sebi.gov.in/sebi_data/attachdocs/1436964571729.pdf.

[12] “Credit rating of cities under urban reforms begins”, Press Information Bureau, Ministry of Urban Development, September 6, 2016.

[13] “Credit Rating of Urban Local Bodies gain Momentum”, Press Information Bureau, Ministry of Urban Development, March 26, 2017.

[14] “Pune civic body raises Rs200 crore via municipal bonds”, LiveMint, June 19, 2017, http://www.livemint.com/Money/JOOzaSTKnC6k1EZGeFh8LJ/Pune-civic-body-raises-Rs200-crore-via-municipal-bonds.html.

Last week, the Power Finance Corporation reported that state-owned power distribution companies across the country made financial losses amounting to Rs 68,832 crore in 2022-23.  This is four times higher than the losses witnessed in 2021-22, and roughly equivalent to the annual budget of a state like Uttarakhand.   This blog examines some of the causes and implications of such losses.

Overview of financial losses

For several years now, electricity distribution companies (discoms), which are mostly state-owned, have witnessed steep financial losses.  Between 2017-18 and 2022-23, losses accumulated to over three lakh crore rupees.  In 2021-22, discom witnessed substantial reduction in their losses, primarily because states released 1.54 lakh rupees in subsidies to clear pending dues.  State governments provide discoms with subsidies, so that domestic and agricultural consumers receive affordable power.  These payments are typically delayed which creates cash flow constraints, and leads to an accumulation of debt.  In addition, costs incurred by discoms in 2021-22 remained unchanged.

Note: Data from 2020-21 onwards does not include Odisha, and Dadra & Nagar Haveli and Daman and Diu since their distribution function was privatised in 2020-21.  Data for Ladakh is available from 2021-22 onwards.  Data for Jammu and Kashmir is not available.  The Delhi Municipal Council Distribution Utility has been included from 2020-21 onwards.
Sources: Power Finance Corporation reports for various years; PRS.

As of 2022-23, losses have increased again to reach Rs 68,832 crore.   This increase has been driven by rising costs.  At a per unit level, the cost of supplying one kilowatt of electricity rose from 7.6 rupees in 2021-22, to 8.6 rupees in 2022-23 (See Table 1).

Table 1: Financial details of state-owned power distribution companies

Details

2019-20

2020-21

2021-22

2022-23

Average cost of supplying power (ACS)

7.4

7.7

7.6

8.6

Average revenue realised (ARR)

6.8

7.1

7.3

7.8

Per unit loss (ACS-ARR)

0.6

0.6

0.3

0.7

Total losses (in Rs crore)

-60,231

-76,899

-16,579

-68,832

Note: Data from 2020-21 onwards does not include Odisha, and Dadra & Nagar Haveli and Daman and Diu since their distribution function was privatised in 2020-21.  Data for Ladakh is available from 2021-22 onwards.  Data for Jammu and Kashmir is not available.  The Delhi Municipal Council Distribution Utility has been included from 2020-21 onwards.
Sources: Power Finance Corporation reports for various years; PRS.

Purchase of electricity from generation companies (gencos) forms about 70% of a discom’s total costs, and coal is the primary source for generating electricity.  The following chain of events took place in 2022-23: (i) consumer demand for electricity rose by 10% over the previous year, as compared to a 6% year-on-year increase in the past 10 years, (ii) coal had to be imported to meet the increased demand, and (iii) global coal prices were elevated.

Coal imported at elevated prices to keep up with rising electricity demand

In 2022-23, demand for electricity increased by 10% over 2021-22.  Between 2008-09 and 2018-19, demand increased at an annual growth rate (CAGR) of 6%.  Electricity demand grew as the economy grew (at 7%), and largely came from domestic and agricultural consumers.  These consumer categories account for 54% of the total electricity sales, and their demand rose by 7%.

Sources: Central Electricity Regulatory Commission; PRS.

Electricity cannot be stored at scale, which means that generation must be scheduled depending on anticipated demand.  The Central Electricity Authority anticipates annual demand for each year.  It estimated that demand in 2022-23 would be at 1,505 billion units.   However, the actual demand was higher than anticipated in the first few months of 2022-23 (See Figure 3).

To meet this demand, electricity generation had to be ramped up.  Coal stocks had already depleted from 29 million tonnes in June 2021 to eight million tonnes in September 2021, on account of high demand in 2021-22.  To ensure uninterrupted supply of power, the Ministry of Power directed gencos to import coal.  The Ministry noted that without imports, widespread power cuts and blackouts would have occurred.

Sources:  Load Generation Balance Report 2022 and 2023, Central Electricity Authority; PRS.

Coal imports rose by about 27 million tonnes in 2022-23.  While this constituted only 5% of the overall coal used in the sector, the price at which it was imported significantly impacted the sector.  In 2021-22, India imported coal at an average price of Rs 8,300 per tonne.   This rose to Rs 12,500 per tonne in 2022-23, a 51% increase.  Coal was primarily imported from Indonesia, and prices shot up due to the Russia-Ukraine war, and demand surge by countries like India and China.   

Sources: Ministry of Power; Ministry of Statistics and Programme Implementation; PRS.

Coal import situation going forward

In January 2023, the Ministry of Power advised gencos to import 6% of the required coal, to ensure sufficient stock until September 2023.   It noted that due to floods and variable rainfall in various parts of the country, hydro generation capacity reduced by about 14%.   This put additional burden on coal based thermal generation in 2023-24.  Following this, in October 2023, the Ministry directed all gencos to continue using at least 6% imported coal until March 2024.  

image

Sources: Ministry of Coal; PRS.

Structural issues in the power sector and its impact on state finances

Discoms witness persistent financial losses due to certain structural issues.  Their costs are typically high because of old contracts with generation companies (gencos).  Power purchase costs in these contracts  do not account for production efficiencies over the years, and costs remain unchanged.  Tariffs are only revised every few years, to ensure that consumers are protected from supply chain shocks.  As a result, costs are carried forward for a few years.  In addition, discoms sell electricity to certain consumers such as agricultural and residential consumers, below cost.  This is supposed to primarily be recovered through subsidy grants provided by state governments.  However, states often delay subsidy payments leading to cash flow issues, and accumulation of debt.  In addition, tariff recovery from the power sold is not optimal.  

Losses reported in the generation sector have also increased.  In 2022-23, state-owned gencos reported losses worth Rs 7,175 crore, as compared to the Rs 4,245 crore in 2021-22.  Rajasthan accounted for 87% of these, at Rs 6,278 crore.  Note that under the Late Payment Surcharge Rules, 2022, discoms are required to make upfront payments to gencos.  

Risk to state finances

Persistent financial losses, high debt and guarantees extended by states continue to pose a risk to state finances.  These are contingent liabilities for state governments, i.e., in the event a discom is unable to repay its debt, the state would have to take it over.  

Several such schemes have been introduced in the past to bail discoms out (See Table 2).  As of 2022-23, discoms have an outstanding debt worth Rs 6.61 lakh crore, 2.4% of the national GDP.  Debt is significantly high in states such as Tamil Nadu (6% of GSDP), Rajasthan (6% of GSDP), and Uttar Pradesh (3% of GSDP).  Previous Finance Commissions have recognised that strengthening discom finances is key in minimising the risk to state finances.    

Table 2: Key government schemes for the turnaround of the distribution sector over the years

Year

Scheme

Details

2002

Bailout Package

States take over the debt of state electricity boards worth Rs 35,000 crore, 50% waiver of interest payable by state electricity boards to central PSUs

2012

Financial Restructuring Package

States take over 50% of the outstanding short-term liabilities worth Rs 56,908 crore

2015

Ujwal Discom Assurance Yojana (UDAY)

States take over 75% of the debt of discoms worth Rs 2.3 lakh crore and also provide grants for any future losses

2020

Liquidity Infusion Scheme

Discoms get loans worth Rs 1.35 lakh crore from Power Finance Corporation and REC Limited to settle outstanding dues of generators, state governments provide guarantee

2022

Revamped Distribution Sector Scheme

Central government to provide result-linked financial assistance worth Rs 97,631 crore for strengthening of supply infrastructure

Sources: NITI Aayog, Press Releases of the Ministry of Power; PRS.

For more details on the impact of discom finances on state finances, see here.  For more details on structural issues in the power distribution sector, see here.  
 

ANNEXURE

Table 3: Cost and revenue structure of discoms on energy sold basis (in Rs per kw)

Details

2019-20

2020-21

2021-22

2022-23

Average cost of supplying power (ACS)

7.4

7.7

7.6

8.6

    of which

       

    Cost of procuring power 

5.8

5.9

5.8

6.6

Average revenue realised (ARR)

6.8

7.1

7.3

7.8

    of which

       

    Revenue from sale of power

5.0

4.9

5.1

5.5

    Tariff subsidy

1.3

1.4

1.4

1.5

       Regulatory income and revenue grant under UDAY

0.3

0.1

0.0

0.2

Per unit loss

0.6

0.6

0.3

0.7

Total financial losses

-60,231

-76,899

-16,579

-68,832

Sources: Power Finance Corporation reports for various years; PRS.

Table 4: State-wise profit/loss of power distribution companies (in Rs crore)

State/UT

2017-18

2018-19

2019-20

2020-21

2021-22

2022-23

Andaman and Nicobar Islands

-605

-645

-678

-757

-86

-76

Andhra Pradesh

-546

-16,831

1,103

-6,894

-2,595

1,211

Arunachal Pradesh

-429

-420

NA

NA

NA

NA

Assam

-259

311

1,141

-107

357

-800

Bihar

-1,872

-1,845

-2,913

-2,966

-2,546

-10

Chandigarh

321

131

59

79

-101

NA

Chhattisgarh

-739

-814

-571

-713

-807

-1,015

Dadra & Nagar Haveli and Daman & Diu

312

-149

-125

NA

NA

NA

Delhi

NA

NA

NA

98

57

-141

Goa

26

-121

-276

78

117

69

Gujarat

426

184

314

429

371

147

Haryana

412

281

331

637

849

975

Himachal Pradesh

-44

132

43

-153

-141

-1,340

Jharkhand

-212

-730

-1,111

-2,556

-1,721

-3,545

Karnataka

-2,439

-4,889

-2,501

-5,382

4,719

-2,414

Kerala

-784

-135

-270

-483

98

-1,022

Ladakh

NA

NA

NA

NA

-11

-57

Lakshadweep

-98

-120

-115

-117

NA

NA

Madhya Pradesh

-5,802

-9,713

-5,034

-9,884

-2,354

1,842

Maharashtra

-3,927

2,549

-5,011

-7,129

-1,147

-19,846

Manipur

-8

-42

-15

-15

-22

-146

Meghalaya

-287

-202

-443

-101

-157

-193

Mizoram

87

-260

-291

-115

-59

-158

Nagaland

-62

-94

-477

-17

24

33

Puducherry

5

-39

-306

-23

84

-131

Punjab

-2,760

363

-975

49

1,680

-1,375

Rajasthan

-11,314

-12,524

-12,277

-5,994

2,374

-2,024

Sikkim

-29

-3

-179

-34

NA

71

Tamil Nadu

-12,541

-17,186

-16,528

-13,066

-9,130

-9,192

Telangana

-6,697

-9,525

-6,966

-6,686

-831

-11,103

Tripura

28

38

-104

-4

-127

-193

Uttar Pradesh

-5,269

-5,902

-3,866

-10,660

-6,498

-15,512

Uttarakhand

-229

-808

-323

-152

-21

-1,224

West Bengal

-871

-1,171

-1,867

-4,261

1,045

-1,663

State Sector

-56,206

-80,179

-60,231

-76,899

-16,579

-68,832

Dadra & Nagar Haveli and Daman & Diu

NA

NA

NA 

242

148

104

Delhi

109

657

-975

1,876

521

-76

Gujarat 

574

307

612

655

522

627

Odisha 

NA

NA

-842

-853

940

746

Maharashtra 

NA

590

1,696

-375

360

42

Uttar Pradesh 

182

126

172

333

256

212

West Bengal 

658

377

379

398

66

-12

Private Sector

1,523

2,057

1,042

2,276

2,813

1,643

All-India

-54,683

-78,122

-59,189

-77,896

 -13,766 

 -67,189 

Note: Minus sign (-) indicates loss; Dadra & Nagar Haveli and Daman & Diu discom was privatised on April 1, 2022; New Delhi Municipal Council Distribution utility has been added from 2020-21 onwards. 
Sources: Power Finance Corporation reports for various years; PRS.