Major Causes of NPAs: From Bank-Specific Factors to Macroeconomic Shocks

Imagine you lend a friend a significant amount of money for their new business, fully expecting to be paid back with interest. For the first few months, everything goes smoothly. Then, the payments slow down… and then stop altogether. That money is no longer earning you anything. It’s “stuck.” Now, multiply that problem by millions and scale it up to the entire nation’s banking system. That’s the challenge of Non-Performing Assets, or NPAs. An NPA is, in simple terms, a loan or advance where the borrower has stopped paying the interest or principal for an extended period, typically 90 days. But how does a country’s banking system end up with a mountain of these “bad loans”?

It’s rarely one single reason. The story of NPAs is a complex tangle of events, decisions, and circumstances, much like a detective novel with multiple suspects. These causes can be broadly sorted into two main categories: problems caused by the banks themselves (bank-specific) and problems caused by the world outside the bank’s walls (macroeconomic).

The two big culprits: The bank and the economy 🔗

When a loan goes bad, the first question is: who is at fault? Was the loan a bad idea from the start, or did a good loan get ruined by bad luck? This gives us our two primary groups of causes.

Bank-specific factors: The internal problems 🔗

These are the issues that originate within the bank itself. Think of this as the bank’s own operational health. If a bank is “unhealthy,” it’s more likely to create or mishandle bad loans.

• Operational efficiency: This is a fancy term for how well the bank does its job. Does it have robust systems to check a borrower’s background? Does it have a dedicated team that follows up on payments the moment they become late? Or is it using outdated technology, with paperwork getting lost and loan officers being poorly trained? An inefficient bank is like a house with leaky plumbing; it’s bound to have problems.
• Lax lending norms and poor scrutiny: This is arguably the biggest internal factor. We’ll dive deeper into this, but it’s the phase *before* the loan is ever given. It’s the “due diligence” process. A bank that cuts corners here-failing to properly analyze a company’s financial statements, not verifying the collateral, or ignoring a poor credit rating-is setting itself up for failure.
• Capital adequacy: A bank’s Capital Adequacy Ratio (CAR) is its own financial cushion, the “shock absorber” it uses to protect itself from bad loans. While a low CAR is often a *result* of high NPAs (as the bank has to use its capital to cover the losses), a bank that is poorly capitalized might, in some cases, take on riskier loans in a desperate attempt to earn higher returns, creating a vicious cycle.

Macroeconomic factors: The external shocks 🔗

These are large-scale economic forces that are completely outside a single bank’s control. They create the environment-good or bad-in which both banks and borrowers operate. A country’s macroeconomic stability is a key determinant of the health of its banking sector.

• GDP growth: The Gross Domestic Product (GDP) is the pulse of the economy. When GDP is growing fast, companies are expanding, people are getting jobs, and profits are high. In this environment, paying back loans is easy. But when GDP growth slows or reverses (a recession), companies see their sales fall, profits shrink, and they may struggle to make their loan payments.
• Inflation: High inflation erodes the value of money and can drastically increase the cost of raw materials for businesses. This squeezes their profit margins. If a company took out a loan based on a 10% profit margin, and sudden inflation wipes that margin out, it may no longer be able to afford its loan payments.
• Interest rates: Many large corporate loans have “floating” interest rates. If the central bank (like the Reserve Bank of India) has to raise interest rates to control inflation, the monthly payments on these loans can suddenly jump. A business that was comfortably managing its debt at a 7% interest rate might find itself sinking when the rate climbs to 10%.

A perfect storm: The story of India’s NPA crisis 🔗

To understand how these factors create a real-world crisis, we need to look at India’s recent economic history. It’s a classic tale of a boom followed by a devastating bust.

The ‘go-go’ years (roughly 2000-2008) 🔗

From the early 2000s until 2008, the Indian economy was on fire. GDP growth was consistently high, optimism was endless, and there was a massive push for infrastructure development. We needed new roads, power plants, airports, and steel mills. This created a huge appetite for credit. Banks, fueled by this optimism (and sometimes, competitive pressure), went on an extensive lending spree. They lent enormous sums of money to large corporations to build these massive, long-term projects.

The great bust (2008-2009 onwards) 🔗

In 2008, the global financial crisis hit. The world economy stalled. Even though India’s banks weren’t directly exposed to the toxic assets in the U.S., the knock-on effects were severe. Global demand for Indian exports dried up. Foreign investment became scarce. The “go-go” years were definitively over.

For the corporations that had taken on massive debt, this was the beginning of a nightmare. But it got worse. Domestically, many of these large infrastructure projects began to hit regulatory roadblocks. Government bans on certain activities, like mining, or massive delays in getting environmental permits brought many projects to a grinding halt. Imagine you’re a company that borrowed $1 billion to build a power plant. The loan repayments were structured to start in Year 3, assuming the plant would be built and generating revenue. But now, it’s Year 5, and the plant is still a concrete shell, tangled in bureaucratic red tape. You have no revenue, but the bank’s bill is due. This was the situation for countless companies, leading to what former RBI Governor Raghuram Rajan called the “twin balance sheet problem”: the balance sheets of corporations were broken (too much debt, no profit), and the balance sheets of banks were broken (too many loans, no repayment).

Looking in the mirror: Lax lending and poor scrutiny 🔗

The economic crisis and policy delays were the spark, but the firewood was piled up by the banks themselves during the boom years. The lax lending norms adopted by many banks were a significant, self-inflicted wound.

In the rush to lend, especially to large corporate houses, essential checks and balances were often ignored. Proper due diligence-the process of deeply analyzing a company’s financials, its business plan, and the viability of its project-was frequently replaced by “heuristic” lending. This means lending based on shortcuts: “This is a big-name conglomerate, they must be good for it,” or, “This is a government-backed infrastructure project, it can’t fail.”

This failure of scrutiny represented a massive failure in inadequate risk management and supervision. Banks are supposed to be experts at managing risk. That’s their core business. But in many cases, they failed to ask the tough questions: What if the project is delayed by 3 years? What if the global price of steel (for a steel plant) crashes? This lack of project appraisal and risk management meant that banks had extended loans that were risky from day one; the economic slowdown just exposed that risk.

The web of other causes 🔗

While the boom-bust cycle and lax lending are the headline villains, a host of other factors created the environment for NPAs to flourish.

Wilful defaults and frauds 🔗

This is perhaps the most frustrating cause. A wilful defaulter is not a borrower who *can’t* pay. It’s a borrower who *can* pay but *chooses not* to. They may have diverted the loan funds for other purposes-using money meant for a factory to buy a private villa, for example. This isn’t just a default; it’s a form of fraud.

Worse still are the high-magnitude frauds, where loans were taken with the *intent* to defraud the bank from the very beginning. These cases often involve a complex nexus of unscrupulous borrowers, and sometimes, corrupt bank officials. Cases like these, involving well-known business figures, showed that political or bureaucratic pressure could be used to push banks to lend to specific borrowers, bypassing all normal scrutiny.

Structural and systemic issues 🔗

• Absence of a strong credit bureau: In the early days of the lending boom, India lacked a robust, centralized credit information system. This meant a defaulting borrower could simply go to a different bank and get a new loan, as the new bank had no easy way of knowing their poor history.
• Economic slowdown: This is the general, grinding pressure of a slow economy that saps the strength of all businesses, making defaults more likely across the board.
• Political interventions: Beyond outright corruption, there’s the softer, but just as damaging, political pressure. This could include “loan waiver” schemes, which, while intended to provide relief, can destroy the credit culture. Borrowers may simply stop paying in the *hope* that their loan will be waived in the future.

The domino effect: Sectoral vulnerabilities 🔗

Finally, it’s crucial to understand that the pain was not spread evenly. The NPA crisis was highly concentrated in specific, high-stakes sectors.

Business units in infrastructure (power, roads), base metals (especially steel), and textiles were particularly vulnerable. These are capital-intensive industries. They require massive loans to get started, and they are highly sensitive to economic cycles and global commodity prices.

When global steel prices crashed (partly due to dumping by China), Indian steel companies, already burdened with debt from their expansion projects, were pushed over the edge. The textile industry often faces volatility in global demand and domestic policy. The infrastructure sector, as we saw, was crippled by policy and legal delays. This concentration of risk meant that when these few sectors fell, they threatened to pull the entire banking system down with them.

The story of NPAs is a sobering reminder that a healthy economy depends on a delicate balance. It requires disciplined banks, a stable and predictable policy environment, and a robust economy. When any one of those pillars wobbles, the entire structure is at risk.

What do you think? Given this complex chain of events, do you believe the NPA problem is primarily the fault of the banks for poor lending, or the fault of the external environment (economic shocks and policy delays)? Where should the biggest changes be made to prevent this from happening again?

References

1. https://www.rbi.org.in/Scripts/FSReports.aspx
2. https://economictimes.indiatimes.com/news/economy/policy/what-is-the-twin-balance-sheet-problem/articleshow/5723321.cms
3. https://www.ijcrt.org/papers/IJCRT2008272.pdf
4. https://rbi.org.in/Scripts/BS_PressReleaseDisplay.aspx?prid=47900