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.
The increasing Non-Performing Assets (NPAs) in the Indian banking sector has recently been the subject of much discussion and scrutiny. Yesterday, the Supreme Court struck down a circular dated February 12, 2018 issued by the Reserve Bank of India (RBI). The RBI circular laid down a revised framework for the resolution of stressed assets. In this blog, we examine the extent of NPAs in India, and recent events leading up to the Supreme Court judgement.
What is the extent and effect of the NPA problem in India?
Banks give loans and advances to borrowers. Based on the performance of the loan, it may be categorised as: (i) a standard asset (a loan where the borrower is making regular repayments), or (ii) a non-performing asset. NPAs are loans and advances where the borrower has stopped making interest or principal repayments for over 90 days.
As of 2018, the total NPAs in the economy stand at Rs 9.6 lakh crore. About 88% of these NPAs are from loans and advances of public sector banks. Banks are required to lend a certain percentage of their loans to priority sectors. These sectors are identified by the RBI and include agriculture, housing, education and small scale industries.[1] In 2018, of the total NPAs, 22% were from priority sector loans, and 78% were from non-priority sector loans.
In the last few years, gross NPAs of banks (as a percentage of total loans) have increased from 2.3% of total loans in 2008 to 9.3% in 2017 (see Figure 1). This indicates that an increasing proportion of a bank’s assets have ceased to generate income for the bank, lowering the bank’s profitability and its ability to grant further credit.
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Figure 1: Gross NPAs (% of total loans)
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Source: Reserve Bank of India; PRS |
What has been done to address the problem of growing NPAs?
The measures taken to resolve and prevent NPAs can broadly be classified into two kinds – first, remedial measures for banks prescribed by the RBI for internal restructuring of stressed assets, and second, legislative means of resolving NPAs under various laws (like the Insolvency and Bankruptcy Code, 2016).
Remedial Measures
Over the years, the RBI has issued various guidelines for banks aimed at the resolution of stressed assets in the economy. These included introduction of certain schemes such as: (i) Strategic Debt Restructuring (which allowed banks to change the management of the defaulting company), and (ii) Joint Lenders’ Forum (where lenders evolved a resolution plan and voted on its implementation). A summary of the various schemes implemented by the RBI is provided in Table 1.
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Table 1: Non-legislative loan recovery framework
Sources: RBI scheme guidelines; Economic Survey 2016-17; PRS. |
Legislative Measures
In June 2017, an internal advisory committee of RBI identified 500 defaulters with the highest value of NPAs.[8] The committee recommended that 12 largest non-performing accounts, each with outstanding amounts greater than Rs 5,000 crore and totalling 25% of the NPAs of the economy, be referred for resolution under the IBC immediately. Proceedings against the 12 largest defaulters have been initiated under the IBC.
What was the February 12 circular issued by the RBI?
Subsequent to the enactment of the IBC, the RBI put in place a framework for restructuring of stressed assets of over Rs 2,000 crore on or after March 1, 2018. The resolution plan for such restructuring must be unanimously approved by all lenders and implemented within 180 days from the date of the first default. If the plan is not implemented within the stipulated time period, the stressed assets are required to be referred to the NCLT under IBC within 15 days. Further, the framework introduced a provision for early identification and categorisation of stressed assets before they are classified as NPAs.
On what grounds was the RBI circular challenged?
Borrowers whose loans were tagged as NPAs before the release of the circular recently crossed the 180-day deadline for internal resolution by banks. Some of these borrowers, including various power producers and sugar mills, had appealed against the RBI circular in various High Courts. A two-judge bench of the Allahabad High Court ruled in favour of the RBI’s powers to issue these guidelines, and refused to grant interim relief to power producers from being taken to the NCLT for bankruptcy. These batch of petitions against the circular were transferred to the Supreme Court, which issued an order in September 2018 to maintain status quo on the same.
What did the Supreme Court order?
The Court held the circular issued by RBI was outside the scope of the power given to it under Article 35AA of the Banking Regulation (Amendment) Act, 2017. The Court reasoned that Section 35AA was proposed by the 2017 Act to authorise the RBI to issues directions only in relation to specific cases of default by specific debtors. It held that the RBI circular issued directions in relation to debtors in general and this was outside their scope of power. The court also held that consequently all IBC proceedings initiated under the RBI circular are quashed.
During the proceedings, various companies argued that the RBI circular applies to all corporate debtors alike, without looking into each individual’s sectors problems and attempting to solve them. For instance, several power companies provided sector specific reasons for delay in payment of bank dues. The reasons included: (i) cancellation of coal blocks by the SC leading to non-availability of fuel, (ii) lack of enough power purchase agreements by states, (iii) non-payment of dues by DISCOMs, and (iv) delays in project implementation leading to cost overruns. Note that, in its 40th report, the Parliamentary Standing Committee on Energy analysed the impact of the RBI circular on the power sector and noted that the ‘one size fits all’ approach of the RBI is erroneous.
[1] ‘Priority Sector Lending – Targets and Classification’ Reserve Bank of India, July 2012, https://rbi.org.in/scripts/NotificationUser.aspx?Id=7460&Mode=0.
[2] Revised Guidelines on Corporate Debt Restructuring Mechanism, Reserve Bank of India, https://www.rbi.org.in/upload/notification/pdfs/67158.pdf.
[3] ‘Framework for Revitalising Distressed Assets in the Economy – Guidelines on Joint Lenders’ Forum (JLF) and Corrective Action Plan (CAP)’, Reserve Bank of India, February 26, 2016, https://www.rbi.org.in/scripts/NotificationUser.aspx?Id=8754&Mode=0.
[4] Timelines for Stressed Assets, Press Release, Reserve Bank of India, May 5, 2017, https://www.rbi.org.in/Scripts/NotificationUser.aspx?Id=10957&Mode=0.
[5] Flexible Structuring of Long Term Project Loans to Infrastructure and Core Industries, RBI, July 15, 2014, https://www.rbi.org.in/scripts/NotificationUser.aspx?Id=9101&Mode=0.
[6] Chapter 4, The Economic Survey 2016-17, http://unionbudget.nic.in/es2016-17/echap04.pdf.
[7] ‘RBI introduces a ‘Scheme for Sustainable Structuring of Stressed Assets’’ Press Release, Reserve Bank of India, June 13, 2016, https://www.rbi.org.in/Scripts/BS_PressReleaseDisplay.aspx?prid=37210.
[8] RBI identifies Accounts for Reference by Banks under the Insolvency and Bankruptcy Code (IBC), Reserve Bank of India, June 13, 2017, https://www.rbi.org.in/scripts/BS_PressReleaseDisplay.aspx?prid=40743
