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Monday, October 19, 2026

Examining the structures and incentives of the Chinese administrative state

Zhuoran Li has a neat description of China’s frontline bureaucracy at the township level that resonates with many other accounts. It is worth extracting in detail and discussing its lessons for countries like India. 

The township, which includes both the rural and urban areas, is responsible for the implementation of most functions of the government such as education, healthcare, public welfare, and municipal services. This is a description of the administrative hierarchy at the township level.

At the top of the township government hierarchy are local leaders, who are township cadres with administrative rankings. A township typically has three section-level (科级) leaders: the township Chinese Communist Party (CCP) secretary, the township mayor, and the chief of the Township People’s Congress, who is often the former township party secretary transitioning to retirement. In addition, there are approximately 10 vice section level (副科级) leaders, including vice party secretaries, vice mayors, the discipline inspection secretary (纪检书记), and the heads of several key offices. Officials heading less critical offices or serving as vice chiefs of any office do not hold administrative rankings and, therefore, are not considered leaders. 

The next level below government leaders are civil servants with no rank who hold bianzhi (编制), which refers to established posts within government offices. Bianzhi status grants significant benefits, including superior welfare compared to regular citizens and lifelong employment (unless the employee commits a crime). Within the bianzhi workforce, “cadres” and “officials” hold civil servant bianzhi, while other bianzhi workers have public institution bianzhi – the same designation given to teachers and doctors in public hospitals. Only those with civil servant bianzhi can reasonably expect opportunities for promotion. In contrast, those with public institution bianzhi have no career advancement prospects.

Li points to several career progression challenges at the township level. 

The path to promotion begins only when an official is elevated to the vice section level, becoming a township leader. Making it to vice section level is not difficult. Officials attest that almost all cadres can expect this promotion as long as they don’t make any serious mistakes. However, further promotion from here becomes extremely difficult. Therefore, most township leaders do not view promotion as a strong incentive and often describe themselves as “not caring much about promotion.”

Promotion opportunities at the township level are rare, as leaders face intense competition and strict age cutoffs. As Chien-wen Kou and Wen-Hsuan Tsai noted, the age cutoff for promotion to vice section and section levels is 40, while the cutoff for vice division (副处) level is 45. In reality, interviews indicate that in many places, the cutoff age for the vice section level can be as early as 35. Promotion opportunities are further constrained by the competition among vice section leaders, 10 of whom may vie for just two section-level positions. Moreover, township party secretaries and mayors are often not promoted from the pool of vice section leaders within the township. Instead, county-level governments may appoint section-level leaders through temporary transfers (挂职), effectively fast-tracking their promotion… As a result, township governments are often referred to as a “black hole for young cadres,” trapping many in perpetual vice section level assignments. They frequently surpass the promotion cutoff age and remain indefinitely in vice section positions. 

Promotion prospects do not improve for section-level leaders, as they face even fiercer competition. A county typically has only around 10 vice division (副处) level positions. Township and street (街道) party secretaries and mayors compete for these roles alongside section chiefs from the county government. As several cadres have concluded, promotion opportunities are largely reserved for those with the right connections…

The lack of promotion incentives is a widespread phenomenon. According to research by Jianxing Yu and Xiang Gao, more than 70 percent of surveyed officials in Zhejiang stated that they know their terminal position early in their careers. Therefore, since early in their career, many local officials decide not to participate in the promotion tournament.

This is a good nice description of how officials manage to work the system to get assigments of their choice. 

Since promotion opportunities are rare, township leaders have developed different career calculations. Some are primarily motivated by the goal of “escaping the township.” Many township leaders keep their families in the county center to access better housing and educational opportunities for their children, while residing in township government dormitories during the workweek. Consequently, they aspire to secure an administrative reassignment (平调) to the county government as a section chief, which would allow them to work closer to their families. Obtaining such a reassignment depends largely on strong personal connections with county leadership and the Organization Bureau. Others, however, prefer to remain in the township because they value the benefits of “holding real power” (大权在握). Many leaders enjoy the authority that comes with being “number one” (一把手) – and the ability to leverage this nearly unchecked power to enrich themselves. For such figures, an administrative reassignment to the county government is seen as a career downgrade.

The similarity with India’s district and below level bureaucracy is remarkable. 

This about contract workers.

Many township governments often employ more contract workers than official bianzhi workers. They perform similar tasks and often work closely with officials. In fact, township contract workers are often more competent than their counterparts. Unlike officials, who are required to rotate posts and localities under the Civil Servant Law, contract workers often remain in the same position for their entire career. This continuity allows them to develop a deeper understanding of local conditions and acquire specialized skills… In theory, a township government can terminate a contract worker’s position at any time. However, the specialized skills that contract workers possess make them irreplaceable, granting them de facto job security… township governments are highly reluctant to fire contract workers unless they commit a crime or a serious mistake.

The primary distinction between contract workers and regular officials is that contract workers do not receive the welfare benefits that officials are entitled to. They only receive basic wage, which is lower than bianzhi workers’, and do not enjoy any bonuses or subsidies… contract workers enjoy more freedom compared to officials. They are not subject to investigations by the commissions for discipline inspection at various levels, since many of them are neither civil servants nor CCP members. Additionally, they are exempt from sitting through the grueling meetings or participating in political activities that are typically reserved for officials and Communist Party members.

Li has this summary of the local government performance.

China’s township governments are best described with one word: stagnation. One cadre captured the reality of township government succinctly: “Everyone is stuck.” Such stagnation will inevitably lead to organizational decay. The resiliency of the CCP comes from its grassroots, and a stable Chinese state depends on local governments delivering services. Decaying local governments will lead to long-term social consequences.

So what are the lessons for countries like India from the Chinese administrative structure? 

1. In India’s administrative hierarchy, the township appears akin to the block, the county to the sub-division, and the prefecture to the district. However, unlike in India, the Chinese administrative units appear to have been created keeping in mind their size and functional importance. Accordingly, the largest cities like Beijing and Shanghai have province-level status, some larger cities have prefecture-level status, and some others have county-level status. This is in contrast with India where all municipalities and districts are alike in their administrative powers. In the Chinese administrative structure, Mumbai and Bangalore would have the powers associated with state governments. 

2. The bianzhi are similar to the field staff in local governments in India, and the Vice-Section level and above forms its leadership. In terms of career progression, in most states, their progression is limited to their local government. In this respect, their prospects are similar to their Chinese counterparts. Further, local governments in India are generally are headed by officials appointed from the state governments. 

The portrait of the bianzhi painted by Li is not flattering. They appear no more or less motivated or institutionally primed (to perform) than their Indian counterparts. As Yuen Yuen Ang and others have pointed out, these levels of government are also rife with petty corruption and speed money. This requires more understanding. 

It is possible that most of the government actions in terms of economic growth happens by way of policy decisions on economic growth and investment happens at the level of prefecture and provinces. The frontline bureaucracy, represented by the township level, may be merely delivering public services, for which China’s higher baseline of state capability may be sufficient. 

3. The role of contract workers appear similar to that in India. It is not uncommon across government levels in India for contract employees, or consultants, to have become more indispensable than the regular employees. The Chinese frontline state appears as much dependent on the non-regular employees as India’s. 

All these raises questions concerning the frontline functionaries and the state they represent. Is the median office clerk or teacher or nurse or tax inspector or policeman or land official in China more capable and/or more motivated than their Indian counterpart? Or is it that there are more of them than in India, thereby reducing the administrative burden? Or is the system less politicised at the frontline, given the single, unified Commuist Party in China? Or is it about greater administrative discipline and bureaucratic efficiency in monitoring and execution?

4. The Chinese officials at the larger county and at the prefecture levels appear similar to the IAS officers, who though enter laterally. The Xuandiaosheng, a Party-run track for top university graduates, but starting in village or township posts and then fast-tracked, appears the nearest to a selected elite stream. 

In fact, one study by Genia Kostka and Yu Xiaofan of career backgrounds of 898 municipal (or prefecture-level) Party secretaries between 1990-2011, found that only 5.4% had mainly county-level careers, and under 1% came directly from a county post. About 56% were mainly municipal, 32% provincial and 3% central. The study points to a “glass ceiling” for county cadres.

Our analysis finds that obstacles hindering leading county cadres from rising to the upper ranks of the municipal apparatus include age and education restrictions; limited positions at the municipal level; the lack of networks linking to provincial leaders; and provincial leaders’ appointment preferences. Limited career advancement opportunities for county cadres have important implications for understanding the incentive foundations of China’s bureaucracy. With only slim prospects for leading county cadres to rise to top municipal positions, the political incentives outlined in the cadre evaluation system might not be as effective in steering cadre behavior as currently claimed in the literature.

This trend is also reflected in the career profiles of top government and Party leaders like Xi Jinping and Li Qiang. 

5. The appointments and promotions into the government and Party at each level are managed by one level above, by the Organisation Department of that level. Interestingly, unlike other Departments, this Department functions as a Party body and not a government ministry. The centre appoints ministers, governors and provincial Party secretaries, and each Party committee manages cadres one level below it. So the province, not Beijing, picks prefecture heads. This points to a significant level of delegation of responsibilities in personnel management and a highly capable, objective, and professional Organisation Departments across levels.

Since most officials are also Party members, they move routinely between the Party and the government. As you go up, careers alternate between the two tracks. 

6. The mainstream accounts of China’s bureaucracy paints a picture of managed competition among local governments as the driver of its success. This calls for a highly capable set of leadership level officials, institutional capabilities, and strong alignment of institutional and personnel incentives. These accounts describe a highly competitive and empowered system that also aligns the career progression of officials to jurisdictional performance in expanding the economy and creating jobs. This requires a highly meritocratic set of incentives and their disciplined compliance and enforcement from the top. 

The deeper institutional innovation in China may be that of local governments (prefectures and provinces) being able to capture some of the returns to local economic development while their officials were simultaneously evaluated on that development and their career progression was dependent on the evaluation. This innovation has been underpinned by managed competition among local governments. 

7. Even with this administrative structure, the fuel that fired competition was financial resources - revenues from land sales (and the raising of debt through Local Government Financing Vehicles, LGFVs), share of tax revenues from local economic activity, the profits from ownership of stakes in State owned enterprises. This resource stream is also important since the local governments receive very little provincial or central support and are responsible for over 85% of the government spending. Further, China does not have property tax, and after 1994, the central government dispensed with the retention of marginal revenues beyond the contracted base and recentralised a substantial share of tax revenues. 

There are very few countries which can even remotely closely mimic this institutional structure and the scale of financial resource availability at the local government level. 

Imagine an Indian parallel, where larger cities and districts, headed by IAS officers, are empowered to sell lands, set up off-balance sheet entities to raise debt and finance infrastructure, establish companies and subsidise them, court private companies to build factories and provide them bespoke incentives, mobilise funds and invest in innovative sectors, etc. This would be far beyond their capabilities. Even if the capabilities were miraculously mobilised, creating the institutional and personnel incentives to do these activities with reasonable fidelity would be difficult, if not impossible. It must be borne in mind that even state governments in India struggle to do these activities with any degree of effectiveness. In fact, even the central government has struggled to effectively manage the disbursal of its flagship innovation fund. 

There are so many questions that come to mind. 

How does the Chinese adminstrative system maintain its discipline given, say, the discretion available to mayors and governors in picking winners and allocating them large amounts, or controlling state-backed venture funds (as outlined here)? How does this discipline co-exist with several accounts of widespread corruption and aggrandisement among senior officials at these levels? Or is it that the centre condones these excesses to some extent as long as the headline outcomes on economic output and jobs are delivered? Or is it that the extent of administrative powers and financial resources available endow local governments with the levers to generate economic outcomes even with the indiscipline? Or is it that the magnitude and scorching pace of economic growth has offset all the inefficiencies? 

How much of the success of the Chinese bureaucracy in delivering outcomes is due to the presence of a parallel Party structure, especially given that the Party Secretary outranks the mayor or governor? How much of the discipline within the government bureaucracy is due to the Party oversight? How much is it due to the personnel management of the government itself being done by the Party-controlled Organisation Department? How much of the discipline arises from the incentives on rising up the hierachy? How much of the motivation and drive to realise national goals among leaders is due to their Party membership and indoctrination? 

It is difficult to not come away with a strong belief that the Chinese administrative system is sui-generis and may offer limited lessons for others to emulate in both reforming their own less effective administrative systems and also in creating institutional structures to enable and sustain high growth rates. 

I had blogged here on China’s management of their public sector units, another sui-generis arrangement which might be difficult to replicate in countries like India.

Saturday, October 17, 2026

Weekend reading links

1. The labour market effects of AI is not clear.
Even at the entry level, graduate unemployment has been rising since 2015, pointing to factors beyond AI.


China’s total population peaked at 1.4 billion in 2021 and is now falling by three to four million people per year—roughly equivalent to losing one Los Angeles each year. By the 2040s, if China continues to follow East Asia’s descent to ultralow fertility rates, it will shed around one percent of its population annually—roughly ten million people, more than the population of New York City. At the same time, the proportion of China’s population aged 65 and older will surge, doubling from 15 percent today to around 30 percent in the 2040s, and then rising to well over 40 percent by the late twenty-first century. The size of that cohort in the United States, by contrast, is projected to rise far more gradually, from around 19 percent of the population today to just over 23 percent in 2060.

The essay by Carl Minzner  talks of how the centralisation, a paranoid state, and suppression of dissent is creating the conditions for discontent and social instability. Sample this. 

In 2023, Beijing created the Central Social Work Department and charged it with monitoring those suffering from any of the “four lacks” (no spouse or children, no job or stable income, no normal social interactions, or no financial assets, such as a house or car) or any of the “five losses” (failed investments, career or life setbacks, emotional imbalances, mental illness, or failed personal relationships). Beijing views such individuals as potential security threats capable of mass attacks, such as the November 2024 rampage in which a 62-year-old man, dissatisfied with the property settlement after his divorce, drove his car into a crowd and killed dozens.

3. Only 6.6% of Indians earn a middle class monthly salary of Rs 25,000. Even this is likely on the higher side, and I am not even talking about the low baseline. 

4. China and EU agree tacitly on an arrangement whereby EU will impose a quota ceiling on Chinese hybrid car imports without any retaliatory action by China. 
The agreement would more than halve projected exports over the next four years, reducing the number of hybrids shipped by China by “several millions”. On the current trajectory, Chinese exports to the EU would hit 800,000 this year. In 2027 alone, the deal would reduce imports by between 500,000 and 700,000 vehicles, cutting the EU’s expected trade deficit by between €10bn and €14bn, according to an EU official. The 2027 annual quota was expected to be initially about 350,000 vehicles, increasing by 6 per cent a year for the following three years, the official said. The EU’s trade deficit in goods with China hit €360bn in 2025 and has increased since. In the second quarter of 2026, it was €103bn, up from €93bn in the same period last year. Vehicles and machinery were the biggest contributors... The share of the EU market for plug-in hybrid electric vehicles controlled by Chinese imports rose to 25 per cent in the first half of this year and for other hybrid electric vehicles to 14 per cent, both up from 2 per cent in 2024.
Debt servicing payments alone are expected to account for 19.2 per cent of the central government’s general public budget this year, up from 12 per cent in 2014, according to a new study from the Conference Board. The problem is especially acute at the local government level, where debt interest payments have risen 16 per cent annually over the same period. Together, central and local government debt interest payments are projected to amount to Rmb1.4tn ($209bn) in 2026, up from about Rmb348bn in 2014... Public debt-to-GDP is set to hit 122 per cent by the end of 2026, up 48 percentage points from its pre-pandemic level, according to Morgan Stanley analysts... Economic growth slipped to 4.3 per cent in the second quarter, below the official full-year target range of 4.5 to 5 per cent, on the back of weakening retail sales and sharp falls in fixed-asset investment... While the central government runs a fiscal deficit of about 4 per cent, the augmented deficit, a wider measure of state spending, is running at about 10 per cent of GDP, according to Goldman Sachs... “Spending on debt interest payments rose 341 per cent” between 2013 and 2025, according to the Washington-based Center for Strategic and International Studies, “faster than any other major budget category”. The think-tank noted that about 14 per cent of US government spending went towards interest payments this year while Japan, one of the world’s most indebted governments, spent almost 26 per cent.

6. The remarkable stability of occupations.

Long-established ones are far more durable — more than 70 per cent of workers today are employed in occupations that existed in the late 19th century. Rather than eliminating these occupations, technology has transformed them.

7. Forward guidance (among other things) wins Nobel Prize precisely in the year the new Fed Chairman is taking steps to reverse it.

8. China clocks a 36.3% growth in dollar terms in its exports in September over the same month last year, the biggest increase since January-February 2021. Trade surplus for the first nine months was $938.1 bn, compared to $875 bn last year. 

This comes even as economic growth slows, reporting 4.3% in the second quarter, one of the lowest quarterly growth rates in decades and below the full year target band of 4.5-5%. 

9. While subsidies were a major contributor to Chinese companies becoming dominant in manufacturing, they have been far sighted enough to sharply increase their R&D spending and move up the value chain and become global manufacturing leaders across the value chain. 

10. Richard Waters puts the AI investment in perspective.
To take one recent estimate, from the Brookings Institution: Spending on the AI services produced by all those data centres would need to account for an astounding 9.2 per cent of US GDP by 2032 for their operators to make a decent economic return... The five biggest hyperscalers — Alphabet, Amazon, Meta, Microsoft and Oracle — have raised their capex budgets throughout the year and currently expect to spend $800bn, nearly twice as much as last year. That is set to eclipse their combined forecast cash flow of around $700bn... according to the Brookings report, it will take an extraordinary jump in AI demand to justify the construction boom. By 2032, customers would need to spend $3.7tn a year (the 9 per cent of US GDP). Tech research firm Gartner came up with a similar calculation this week, estimating that $8.5tn of AI revenue will be needed between now and 2030 to produce decent investment returns on all the new data centres. The actual AI revenue Gartner forecasts over that period: $3.6tn.

Friday, October 16, 2026

Much before the AI revolution threatened to disrupt India’s IT outsourcing firms, the proliferation of Global Capability Centres (GCCs) of global multinational corporations were already impacting them. For at first glance, GCCs involve in-sourcing and off-shoring of those activities previously performed by these IT firms. 

This post will examine three questions. What is likely to be the impact of GCCs on the IT firms? What is the likely net impact of GCCs on the Indian economy? How would the GCCs be viewed politically in the era of protectionism and reshoring?

A useful framework to think about the issue is to view GCCs in two dimensions - who does the work (outsource/insource) and where it is done (offshore/onshore or reshore). This is likely to impact India in three measurable ways - substitution (insource work from IT firms to client-owned GCCs), expansion (offshore to the GCC those higher value added R&D and core functions that previously stayed with the parent), and linkages (creation of local supplier ecosystems around the GCC). 

It can be argued that substitution is a direct threat to Indian IT firms, expansion is a new opportunity for India (though benefits are captured by MNCs), and linkages are significantly beneficial in terms of knowledge spillovers and new business for the local firms. 

I used Claude to generate a taxonomy of activities with tasks that undergo substitution and expansion. For each activity category, the table outlines the parts of it done by the IT firms and GCC respectively, and their potential expansion areas.

In 2024, the 1900 odd GCCs generated revenues of $64.6 bn, forming 32% of the total IT exports of about $200 bn. At such volumes, even if they are substituting a small share of their total revenues, it can be a major top-line drag on the IT majors. 

While neat causal attribution may be difficult, there are several signatures of stagnation and even decline in the fortunes of the IT firms, and they predate the emergence of AI. At a headline level, TCS reported its first-ever annual revenue contraction in FY26, Wipro has shrunk for three consecutive years, and Infosys’s FY27 guidance of 1.5–3.5% is the lowest in two decades. In the three years till 2024-25, GCCs added more net headcount in India than the four largest IT services firms combined.

TCS, Infosys and Wipro have decelerated from double-digit growth in 2021-22 and 2022-23 to low-single-digits or outright contraction since then. While GCCs may be substituting their work, on the AI side, the likes of Accenture appears to have taken a head start in capturing the AI consulting work. Reflecting this, Accenture grew 7% in 2024-25 and has crossed $69bn in revenue.

These trends are already reflected in the labour market. The GCCs are now hiring the same IT engineers from their previous outsourcing vendors, and at 25-40% higher pay. 

The clearest proof that GCCs are taking share from Indian IT vendors (rather than only expanding the pie) comes from the labour-market. Employees of the IT majors (TCS/Infosys/Wipro) are now being hired by the GCCs of the same multinationals that used to be their clients, at 25–40% higher pay. There may be signs that the IT vendors are now suffering a talent drain to their former clients. 

To summarise, Claude offered this assessment

Of the ~$65bn GCC revenue in 2024, roughly $35–40bn is expansion (work that would never have come to Indian vendors) and $25–30bn is substitution (work that was, or would have been, done by Indian IT services firms). That substitution slice is still only ~15% of total Indian IT services revenue, which is why the vendor firms are decelerating rather than collapsing. But at current GCC growth rates, the substitution slice compounds at 20%+ per year while the vendor base compounds at 3–5% — so the ratio reaches 25% by 2027 and 35%+ by 2030. That is when it becomes an existential risk to the current Indian IT services business model.

In the circumstances, for the Indian IT firms, the emergence of GCCs (and AI) bring down the curtain on the lower value added volume game of manpower outsourcing, and reveals that the only credible path is to compete on AI-first consulting at Accenture-like margins, which requires talent, human resource capabilities, and brand investments they historically avoided. 

The linkages possible from GCCs are also likely to be significant. Apart from the support services, the GCCs will also catalyse a supplier services ecosystem that serve the main activities. Services sector ecosystems are unlikely to be in the nature of physical input-output linkages. Instead, they are likely to be in the form of various kinds of externalities. 

The GCC’s local ecosystem is more likely to emerge through specialist technology vendors, subcontracting, employee mobility, start-ups, collaboration and the circulation of knowledge. The depth of the ecosystem depends on the nature of the GCC's activities, procurement practices, autonomy and connections to local firms. 

For example, GCC’s performing like product engineering, R&D, advanced analytics or software-platform/product development, are likely to have greater spillovers than those performing highly standardised internal processing with limited technical autonomy or few local commercial relationships. Further, it can create demand for specialised services and contribute to the concentration of technical expertise that makes local firms more viable, supply a pipeline of employees who can be prospective entrepreneurs, etc. 

There is evidence from studies on the impact of multinational IT firms in India of collaboration with local firms, knowledge flows and acess to resources and networks, innovation spillovers, productivity spillovers, and increased export intensity of domestic firms. 

Given the objective of maximising expansion and linkages, there is a case for close monitoring of the nature of the GCC’s activities to guide policy making. Are the GCCs procuring technology and professional services, thereby creating creating domestic demand that goes beyond routine facilities, staffing, and support services? What is the level of sophistication of Indian suppliers, and are they are moving into higher value activities? The nature and number of startups established by employees of GCCs, and their trends? How many joint R&D, and university and startup collaborations, that promote local innovation networks? What are the trends with the productivity, exports, sophistication and product development capabilities of domestic firms that are associated with the GCCs?

The answers to these questions can be useful inputs to guiding policy making that advance the objectives on expansion and linkages. It is also an area where applied research partnerships with universities and think tanks can be helpful. 

In any case, the overall impact of the emergence of GCCs on the Indian economy is significantly positive. The table below is likely an underestimate since it does not fully account for many of the externalities mentioned above. 

The real problem is likely to come from the third question about how the trend on off-shoring of activities through GCCs will be perceived in their parent countries. Hit by the China shock and weakening economies, advanced countries like the US are trying to reshore manufacturing base and protectionist measures are pervasive. In the US, these measures have extended to a crack down on visas for foreigners in the IT industry. 

As the GCCs start to become a salient part of the revenues and employment of the MNCs, they will come to be viewed as a backdoor to send local jobs to countries like India. This is all the more likely at a time when good jobs are becoming scarce and youth unemployment is already high and rising in the US and elsewhere. 

In this backdrop, a trend of off-shoring of IT services, which includes higher value added activities, even if within the same company, is certain to invite scrutiny and backlash. It is only a matter of time. Countries like India may have a far shorter window than imagined to capitalise on the GCC opportunity and make themselves indispensable parts of the global IT services supply chain just as China did in manufacturing.

Wednesday, October 14, 2026

Mass transit and land use planning drives economic clusters

Large urban agglomerations are engines of national economic growth. The fuels that power these engines are the transportation infrastructure and mass transit, supported with enabling land use and development control regulations, value capture and revenue sharing, and institutional architecture. This is the topic of the post.

Such urban agglomerations are characterised by clusters of dense, specialised nodes of employment connected to residential nodes by commuter networks. This is the classic model of metropolitan downtowns connected with densified suburban satellite towns that coordinates agglomeration economies at the centre for high productivity job creation.

Accordingly, the central parts of major metropolitan cities of the world are predominantly workplaces, with people commuting to work from suburban areas on commuter railway systems. Mumbai, London, and New York are great examples. This is in keeping with the economic logic of ensuring the most productive use of the highest value lands in the city.

It also unlocks affordable housing supply by locating them predominantly in those areas with lower land prices, thereby relaxing the biggest constraint to affordable housing.

The ingredient that binds the nodes together and creates a dynamic regional cluster is a well-connected mass transit network. In cities globally, commuter and metro railway systems have played this role.

High-volume mass transit systems connect the nodes and bring people closer to jobs. They reshape the geography of what an hour reaches. This trip-shortening effect — making longer distance commutes faster than shorter car trips — is especially powerful in India, where the spatial mismatch between jobs in metropolitan cores and job-seekers in the hinterland has been found to be unusually large. They shrink the distances, thereby increasing the pool of jobs available for people in the hinterland, and expanding the talent accessible for employers in the core.

But evidence also informs us that merely laying the mass transit network is not sufficient. This study by Rana Hasan et albuilt a spatial model of Bengaluru and run the metro against alternative land-use policies and came up with the following quantified impacts. 

Holding the metro investment identical, the difference in net benefits between the best and worst land-use plans is roughly 32 percentage points of city GDP. In other words, the land-use plan determines whether the transit investment creates value or destroys it.

The requirement is to locate sufficient density of homes and workplaces within conveniently accessible distance from the stations, either through walk or feeder services. This is transit oriented development (TOD).

TOD is about commuting using mass transit by walking to/from station (to/from home and workplace) or feeder services. A big collateral benefit from TOD is that it avoids the use of cars, thereby decreasing traffic congestion, reducing productivity losses from long commutes, and lowering air pollution.

As I blogged here, TOD also increases the commercial viability of the massive investments made in mass transit systems (~ Rs 8 lakh Cr and counting, with 20-30% ridership realised, and massive debt repayment fiscal burden looming). It induces traffic by creating new trips (by locating more people within the transit zone influence area), shortening trip distances (thereby expanding the effective commute catchment), and mode shifts (from cars to mass transit).

Effective implementation of TOD requires addressing three constraints. One, relaxing development control regulations to make it attractive to build density in the vicinity of the stations, and creating the complementary pedestrian infrastructure. It also requires appropriate mixed land-use planning that allows the market to respond in the most efficient manner to order commute patterns and shape spatial growth. 

Two, funding of the mass transit capex, especially by enabling with the right kind of value capture instruments, with the right sequencing, and also the appropriate revenue sharing between the rail company and the local government/UDA. Try to capture value too quickly, before value gets created, and the cluster remains still born.

Three, an institutional architecture that aligns the incentives between those constructing the transit system (and repaying the debt mobilised) and those responsible for the land use and other decisions that determine the commercial viability of the system. This could, for example, entail the radical change of making the urban development authorities the owner of metro railway systems in metropolitan areas.

Monday, October 12, 2026

Observations on India’s external exposure in the age of capital wars

There are two important trends that are likely to impact cross-border capital flows for the foreseeable future. The first is the already high and increasing public debt burdens and persistently high budget deficits across the developed world. The second is the growing efforts to reshore manufacturing and reduce the dependency on China. The US is at the forefront of both these trends. 

Both are having large and growing spillovers across the global financial markets, especially adversely impacting developing countries. The first trend is raising sovereign bond yields, forcing interest rate hikes, and weakening currencies. The second trend is triggering a rising competition to attract manufacturing investment and retain domestic savings. 

I blogged here arguing that these trends will intensify the competition for capital, and most likely trigger capital wars. I had also discussed the possible implications for India. 

These trends come at a time when India is continuing the opening up of its financial markets and actively courting foreign investment. What do these trends mean for the RBI’s monetary policy, the rupee, India’s foreign direct investment, foreign portfolio investment, external commercial borrowings, and bilateral and multilateral aid flows? 

Finance 101 and historical experience tells us that rising US Treasury yields trigger capital flow reversals, puts pressure on the rupee, worsens the trade deficit, and reduces RBI’s monetary policy autonomy. And there is a self-reinforcing spiral associated with this cycle. On top come the squeeze on FDI inflows arising from the efforts to retain domestic savings and reshore manufacturing. 

Globally, the rising stock and flows of public debt portend a long period of higher interest rates, also because of the inflationary pressures that are already on play and will remain so for the foreseeable future. 

In this backdrop, this post will use data analysed with Claude to examine the consequences of India’s external exposure. 

Arguably the biggest deterrent to foreign capital inflows into India today is the weakening trend of the rupee. A weaker rupee raises the hurdle rate that any investor, FDI or FPI, would demand for investing in India. The rupee depreciation, therefore, functions as a direct tax on foreign investors' dollar-denominated returns. Every 1% of depreciation eats roughly 1% of the foreign investor's return. 

As an illustration, the rupee has weakened from ₹74/$ in 2021 to ₹96/$ in 2026, a cumulative decline of 30% over five years. This means that any foreign investors who remained invested in India should have earned an additional 30% returns to offset the depreciating currency. 

So what drives rupee depreciation? 

The obvious candidates are inflation differential, US Federal Funds rate, current account deficit, and oil prices. While a contemporaneous model OLS regression of annual rupee depreciation on these four structural drivers barely fits, a one year lagged model fits well (R-sq = 0.62, F-stat p = 0.001). The rupee depreciation correlates primarily with oil prices (the import-bill channel), the inflation differential (mediated by the RBI’s response), and the current-account balance, but with a one-year lag. 

Going by this, given the prevailing global market conditions and with no signs of an end to the Iran war, the rupee is primed for further declines in the year ahead.

The prospects of further rupee weakening is reflected in the USD/INR forward premium, which compressed dramatically from ~5% in early 2021 to barely 1% by mid-2024 as Fed hikes narrowed the India-US rate gap, but has since been rising and is about 3.5-4.1% in October 2026. For ECB borrowers, the forward premium is the hedging cost.

What does all this mean for RBI’s monetary policy choices? 

The Uncovered Interest Parity (UIP), which is an unobserved theoretical construct, states that the difference in interest rates between two countries should equal the expected change in exchange rates between their currencies, so that there is no arbitrage opportunity. The reality though is complicated by risk premiums and transaction frictions. 

The higher-for-longer global interest rates narrow the monetary policy space to cut or even maintain neutral stance in India without triggering outflows and rupee depreciation. In an open-economy framework where India’s capital account is substantially open on the debt side, the UIP floor on the repo rate rises mechanically. And, as the graphic below shows, it has been rising since 2021. With the Fed at 4.25% and the BoJ no longer anchored at zero, the UIP floor on the repo rate is around 6.3%.

This has created a situation where the UIP floor today is above the RBI’s repo rate. This puts pressure on the rupee to depreciate, something backstopped only the RBI’s large reserves. In fact, the RBI’s 5.5% repo rate works today only because of the forex-reserve buffer. 

However, now with US looking at the beginning of a rate hike cycle, the RBI’s room for monetary policy autonomy is considerably squeezed. It has little choice but to respond with raising rates. 

The capital wars channel compounds the problem. A big risk is the US net Treasury issuance estimate of $2tn/yr through 2028. It will be a major sink for global savings, and will raise the hurdle rate for all EM sovereign and corporate issuance.

An associated signature of this squeeze is the narrowing of the spread between Indian and US 10 year sovereign bonds. It has more than halved since the beginning of 2021. Coupled with the currency hedging cost, the spread disappears, thereby eliminating any incentive among those pursuing carry trade opportunities. 

What does this imply for India’s external debt exposures? 

In the aggregate, India’s external debt looks moderate at 20.8% of GDP. But there are two dimensions that need monitoring. The first is that the historical access to cheap, long-tenor, concessional fixed rate debt, primarily from bilateral and multilateral institutions, has now given way to floating rate loans benchmarked to SOFR/TONA/TORF (the transition from LIBOR happened by 2023). Of the $174.3 bn sovereign debt exposure (as of June 2026), 58% are now floating rate loans. More on this latter.

The second is the composition of external debt is now shifting away from the government to the private sector. This composition deserves closer monitoring given the rising share of External Commercial Borrowings (ECBs). 

At 32.8% of India’s external debt, ECBs are now bigger than the combined value of multilateral and bilateral loans and NRI deposits. The downward pressure on the rupee is a major risk for ECBs. This risk is amplified by the rising rates globally since most ECBs are floating-rate (SOFR-linked).

Of the $255bn outstanding ECBs, only 66% are hedged, and the remaining are direct, uninsured pass-through. The 34% unhedged slice ($87bn) is where the first stress will surface. It will fall most likely at NBFCs, airlines and renewable-energy developers that borrowed at low SOFR in 2021–22 and now must roll.

The impact of rupee depreciation on the $87 bn of unhedged ECBs is significant. 

These risks are also serious also because of the shorter repayment schedules of the ECBs. About $120 bn are due for repayment till March 2028. 

Another cause for concern may be the nature of ECB borrowers. An Indian corporate borrowing via ECB faces three cost layers - the base rate, currency depreciation, and the cost of hedging. The chart below shows that at least since 2023, ECBs should have been losing their attractiveness, especially for the higher rated borrowers. Nevertheless the ECBs have continued to rise, though issuance has fallen 33% in FY26. This raises a concern that some proportion of the ECB borrowers may be coming from the riskier market segments. 

The rising ECB exposure necessitates greater RBI oversight and microprudential regulation. For example, it should mandate higher ECB hedging ratios for sectors where revenues are in rupees (airlines, renewables, NBFCs). It should keep a close watch on higher cost commercial borrowings by by systemically important corporates.

The impact of rising interest rates globally is also showing up on India’s bilateral and multilateral borrowing windows. The notion that multilateral and bilateral lending is cheap, long-tenor and insulated from financial-market cycles is no longer true. ADB, World Bank and JICA have all transitioned from LIBOR to the new overnight benchmarks — USD SOFR, Yen TONA and the newer TORF. Each is 300–350 bps above its 2020 floor.

For four decades, yen funding has been India’s cheapest formal external finance. JICA has been the backbone of financing for Delhi Metro, Mumbai Trans Harbour Link, Delhi Mumbai Industrial Corridor (DMIC), Western Dedicated Freight Corridor (DFC) and the Mumbai-Ahmedabad bullet train. All of them were conceived when the all-in yen cost was below 1%. But BoJ’s rate hikes, at 1.25% in Sep 2026, has already taken interest rates to their highest since 1995, and much more is expected as Japan normalises its financial markets. India has roughly $50bn of yen-denominated external debt (6.4% of total). 

Each 100 bps of additional yen funding cost on a 30-year ¥1 trillion exposure is roughly ¥100bn in extra lifetime interest. This shifts the IRR calculus materially.

A JICA yen loan signed today has an all-in cost of about1.3–1.4%, still the cheapest money India can get, but roughly double the 0.6–0.8% that typical JICA loans carried in 2015–2022. More consequentially, as new BoJ hikes feed through, the TORF benchmark will keep rising. 

Put simply, India’s historical reliance on JICA for metro rail, DMIC, and large infrastructure is predicated on a yen funding cost that is quietly disappearing. This is not a cyclical shift, but structural one.

For the government, and including state governments, there is a need for a serious revisit of the external aided project (EAP) financing windows. Does it make fiscal sense to continue the same levels of such borrowings given the rate risks? 

Beyond the direct interest cost, higher global rates reset India’s external exposure through three further channels. They are the foreign portfolio flows into Indian debt markets, the yield that must be offered on NRI deposits to retain the stock, and the capital-wars channel through which US issuance crowds out EM access.

Finally, as we wrote in The Rise of Finance, thanks to the unavoidable spillovers from the dominance of the US economy and the dollar, the space available for developing countries to pursue autonomous monetary policy was already constrained. This is set to shrink further on the face of the trends discussed above.