Sunday, June 7, 2026

Turning Civil Service Recruitment into a Human Capital Engine

Turning Civil Service Recruitment into a Human Capital Engine
India's Operations Talent Deficit

India's development challenge is often described as a shortage of money, technology, or policy innovation. Increasingly, it is none of those things. The country has attracted unprecedented capital, possesses world-class technical talent, and has no shortage of ambitious plans. What it lacks is something less glamorous but far more important: people who can reliably execute.

Modern economies run on an enormous layer of operational talent that sits between strategy and labor. These are the people who translate budgets into projects, plans into assets, and policies into outcomes. They manage procurement processes, coordinate contractors, supervise field teams, monitor timelines, track budgets, resolve bottlenecks, maintain compliance, operate GIS and data systems, and handle citizen-facing operations. They are not specialized professionals like scientists, doctors, or engineers. They are the individuals who make large organizations function.

India's educational system produces millions of graduates every year, but few emerge with these capabilities. University degrees are overwhelmingly classroom-based. Students spend years studying theory and sitting examinations while accumulating little experience managing real-world operations. As a result, employers across both the public and private sectors face the same problem: they can hire credentialed graduates, but they struggle to find people who have demonstrated an ability to deliver.

This shortage is visible everywhere. Infrastructure projects are delayed not because engineers cannot design roads, power plants, or water systems, but because execution chains break down. Procurement disputes stall progress. Contractors are poorly coordinated. Field supervision is inconsistent. Budget tracking is weak. Data systems are underutilized. Citizen-facing services become disconnected from the realities they are meant to address. The constraint is often not technical knowledge but operational capacity.

Job supply and demand

India has approximately 2.5 to 3 crore (25-30 million) 22-year-olds. Joblessness is heavily concentrated among this demographic: the unemployment rate for graduates under 25 is nearly 40%. This translates to an estimated 1 to 1.5 crore (10-15 million) jobless 22-year-olds nationwide, driven by an education-to-jobs mismatch.

The government (Central, State, Local Governments, etc.) has about 3 crore employees and millions of vacancies. The Indian state also uses a massive employment-by-proxy system. Depending on how one counts scheme workers, outsourced staff, agency personnel, and contractual employees, somewhere between 1.5 and 2 crore people work in quasi-government roles without being permanent civil servants. They manage records, operate health programs, maintain infrastructure, support local administration, run citizen-service centers, collect data, and execute projects. The question is not whether India can absorb millions of non-permanent public-sector workers. It already does. This workforce remains largely unaudited, weakly credentialed, and disconnected from a structured talent-development pipeline.

India faces a massive mismatch between government staffing and the demands of modern governance. Critics often assume India suffers from an oversized bureaucracy. The international data suggests the opposite. India has roughly 16 public-sector employees per 1,000 citizens, compared with approximately 57 in China, 70–80 in the United States, and over 90 in much of Western Europe. India is attempting to administer a population larger than China with roughly one-third the public-sector staffing density.

The problem is not that India employs too many public servants. The problem is that it employs too few, and that the pipeline for developing them is slow, fragmented, and poorly aligned with the operational skills modern governance requires. The challenge is therefore not bureaucratic downsizing. It is bureaucratic capacity building.

India knows that its government bureaucracy does not work well and understands that adding employees to a non-performing cadre does not increase throughput. It pauses formal hiring, uses contract workers, and limits sanctioned headcount. India has got itself trapped into a shortage of jobs while facing a flood of unmet governance requirements.

The solution for building up civil service talent to power an effective government sector is a hard problem, and the focus of this article. India can use apprenticeship to build effective and at-scale government departments. A mature apprenticeship system may eventually enroll two million apprentices per cohort, making it one of the largest work-study programs in human history.

The Civil Services Exam (CSE) is a national waste

The irony is that India's most prestigious talent pipeline, the UPSC Civil Services Exam (CSE), altogether bypasses the requirement for skills in effective government. Success in the examination demonstrates intellectual discipline, persistence, and specific information-recall knowledge. It does not demonstrate an ability to manage a procurement cycle, oversee a construction project, lead a field team, run a district health initiative, or coordinate a multi-stakeholder operation under real-world constraints.

The Civil Services Examination was designed for a different era. The colonial Indian Civil Service needed a small number of highly educated generalists required to administer vast territories for specific colonial aims. Independent India largely retained this architecture because it offered a meritocratic mechanism for recruiting administrative leadership. But modern governance is not colonial, it has far broader objectives of welfare, service delivery, and development. It requires policy formulation and large-scale operational execution. The challenge is no longer merely selecting capable colonial administrators. It is building a large and continuously replenished pool of people who can reliably deliver outcomes.

Our youth sacrifice their prime twenties in preparation for the Civil Services Exam. In tiny rooms across Old Rajinder Nagar and Mukherjee Nagar, they memorize everything from the structure of volcanic rocks to the nuances of medieval land revenue systems. They are chasing a golden ticket: entry into the Indian Civil Services via the UPSC CSE. It is an extraordinary test of academic endurance and psychological grit. But it poses a fundamental question: Does being world-class at taking a three-stage academic exam make you a competent manager or an empathetic district administrator?

The short answer is no. The current "selection-first" framework filters for academic compliance and synthesis under intense pressure, but it fails to test ground-level operational capability, execution velocity, or the ability to navigate local political realities. Once selected, an elite generalist is handed immense administrative power, locked into a rigid system of batch-parity promotions where competence is secondary to years of service.

If one million UPSC aspirants spend an average of three years preparing for it, India commits roughly three million person-years of human effort to a selection process that ultimately hires only a few thousand elite officers.

The timing of this mismatch is becoming increasingly important. Artificial intelligence is rapidly reducing the scarcity value of examination-style knowledge work: information retrieval, report drafting, summarization, procedural analysis, and even portions of policy research. But AI does not build trust with citizens, supervise field teams, resolve local bottlenecks, manage procurement, coordinate contractors, or deliver infrastructure projects. As AI lowers the value of information recall and routine analysis, it raises the relative value of operational capability. The Civil Services Exam is becoming more misaligned with the job at precisely the moment the economy is rewarding execution more than ever.

What if we inverted this entire paradigm? Instead of an academic filter followed by field placement, what if the field placement became the filter? Let’s imagine a systemic replacement for the Civil Services Exam: an intense, four-year auditable public-sector apprenticeship.

The solution: a four-year public-sector apprenticeship program

An apprenticeship system can directly target this deficit. Instead of producing graduates whose primary achievement is passing examinations, it would produce graduates with four years of audited operational experience. By age twenty-two, a graduate apprentice could have participated in infrastructure rollouts, managed budgets, coordinated contractors, used modern data platforms, and worked directly with citizens and frontline institutions. They would enter the labor market with a portfolio of demonstrated execution rather than a transcript of completed coursework.

This is why apprenticeship should not be viewed merely as a reform of civil-service recruitment. It is a mechanism for manufacturing one of the scarcest resources in the Indian economy: competent operators. The state would gain a stronger administrative workforce, but the larger beneficiary would be the country itself. Every cohort would inject thousands of proven project managers, operations specialists, public-service leaders, and delivery professionals into the broader economy. In a nation attempting to build infrastructure, modernize governance, expand healthcare, improve education, and industrialize simultaneously, that may be one of the highest-return investments imaginable.

The Core Blueprint: The Four-Year Crucible

The proposed model dismantles the high-stakes exam and replaces it with a structured, operational pipeline:

  1. The Ground-Level Apprenticeship. Candidates enter a four-year cohort embedded directly within public-sector institutions. They are deployed where the state meets the citizen: rural healthcare sub-centers, district local bodies, urban planning units, and primary education offices. Practice—getting things done on the ground—is heavily interspersed with rigorous theoretical blocks (public finance, data analytics, administrative law) taught by top-tier academic institutions.
  2. Continuous Auditable Assessment. No more single-day do-or-die exams. Candidates are evaluated continuously across four years using a multi-dimensional rating mechanism that tracks both analytical mastery and field execution. Blind-reviewed, statistically normalized, and externally audited. The integrity of this ledger is the entire design problem; the architecture addresses it through three interlocking mechanisms described below.
  3. Performance-Driven Absorption. At the end of year four, the state picks the absolute top performers to be absorbed as permanent civil servants.
  4. De-stratifying the Intake. The current colonial hierarchy of sorting people on day one into rigid boxes (Group A Officers vs. Group B/C/D clerks and other junior grades) is flattened. Apprenticeship performance grades determine your entry grade, and service rules are re-engineered to allow high-performing frontline workers an "express lane" to senior leadership based on merit, not age.

The Bachelor of Public Administration

But let’s push this architectural pivot further. Why layer this apprenticeship on top of a traditional university degree? Why force someone who wants to be a practical operator to sit through four years of disconnected engineering or humanities lectures first?

Instead, we should integrate this model directly into the undergraduate ecosystem as a formal 4-year work-degree alternative. Let’s call it the Bachelor of Public Administration (BPA), an apprenticeship program formally accredited by the UGC and equivalent to a four-year degree from a university. This structurally decouples higher education into two clean tracks: a Research/Academic/Professional Track (the traditional university) and an Operations/Execution Track (the public administration apprenticeship).

The deeper structural win is what this does to the university system left behind. Indian higher education suffers from a specific pathology: mass enrollment driven not by academic appetite but by credential anxiety. Roughly 40 million students are currently enrolled in Indian universities, a significant fraction pursuing degrees in streams where neither the student nor the employer seriously believes the four years produced usable knowledge. The degree is a sorting signal, not an education.

This creates a perverse equilibrium: universities cannot raise academic standards because their enrollment, and therefore their funding, depends on retaining students who would fail under genuine rigor. Professors teach to the median of a classroom filled with people who do not want to be there.

The BPA track breaks this equilibrium by giving the action-oriented, execution-hungry student a high-prestige exit from the university pipeline entirely. What remains in the traditional university is a self-selected population that actually wants to be there. This remainder converts to smaller cohorts, higher intrinsic motivation, and an institution no longer held hostage to the credential economy. This isn't a side effect of the reform. It's a second-order structural dividend that compounds: a public administration track that produces competent operators, and a university system finally free to produce genuine scholars.

Crucially, it fixes the socioeconomic distortion of student debt. Instead of families draining life savings for hollow degrees, the BPA functions on an "earn-while-you-learn" paradigm. Funded directly out of departmental service delivery budgets (such as national health or infrastructure allocations), apprentices receive a baseline stipend from day one. They aren't an economic liability; they are an asset actively generating real-world utility while earning their qualification.

The Lemons Problem and the Embittered Reject

Whenever a short-term public intake model is proposed (such as the military's Agnipath scheme), the primary critique is immediate: What happens to the 90% who are not retained? Do we risk creating a large pool of embittered, highly trained rejects?

The Agnipath analogy fails at the structural level. The Indian military has a hard force-size ceiling: absorption is zero-sum by design. The civilian administration has the opposite problem: a chronic, multi-lakh vacancy pool that has persisted across decades and governments. Worse, it has a last-mile delivery choke exacerbated by the realization that adding employees to a non-performing cadre does not increase throughput. A BPA cohort of 2 million annual apprentices would be understaffing the demand pipeline of the combined A to D grade of vacancies, not flooding it. The "embittered reject" scenario requires a labor market where supply exceeds demand. Here, the state has been the undersupplied party for thirty years.

In economics, George Akerlof’s Nobel-winning "Market for Lemons" highlights how information asymmetry hurts job markets. Currently, a failed UPSC aspirant with a five-year resume gap is a total black box to private employers. They represent an enormous hiring risk.

The BPA model transforms this dynamic completely. By shifting from a binary lottery to an auditable asset-building system, we turn the apprenticeship-degree into a credible market signaling engine. BPA graduates would enter the employment market with four years of audited operational experience. So, they have a massive structural premium over traditional non-apprentice graduates. Such talent is needed in the private sector too, so the private sector will likely try to outbid the state for the top-tier apprentices, creating a liquid market for talent. BPA becomes the national engine of human capital in administration.

The Public-Sector Performance Index (PSPI)

To make these graduates irresistible to outside employers, whether they are infrastructure conglomerates like L&T, consulting giants like McKinsey, or major healthcare chains, the graduation scorecard cannot be a subjective letter of recommendation. It must look like an audited financial statement.

We propose the creation of a Public-Sector Performance Index (PSPI), ranging from 0 to 10,000. The architecture breaks down as follows:

The Auditing & Anti-Gamification Layer

The single greatest strength of the current UPSC exam is its integrity. The institutional design is such that no politician or bureaucrat can reach into it. Any replacement system must replicate this property. The PSPI's credibility lives or dies on one question: can a senior bureaucrat or local politician inflate a favored apprentice's score?

Three interlocking mechanisms make this structurally difficult. The combination of algorithmic execution, MoSPI, IITs, IIMs, and immutable records provide the accountability, auditability, separation of duties, and traceability that make integrity the default, and breaches of integrity as auto-surfaced audit flags. Without this foundation, the mechanisms below are procedural, not structural. With it, they become genuinely hard to game.

1. The Context-Weighting Multiplier (The Difficulty Index)

Executing a primary health clinic upgrade in a highly developed, tech-enabled urban local body is fundamentally easier than managing a water rollout in a conflict-prone, underfunded tribal block. MoSPI’s tracking system would apply a geographic and developmental difficulty multiplier (aligned with NITI Aayog's Aspirational Districts framework). Achieving 75% of a target in a high-risk terrain yields a statistically higher PSPI score than achieving 90% in a frictionless metropolitan hub. This prevents the "good post" bias from skewing talent evaluation.

2. Statistical Outlier De-biasing

MoSPI’s analytical engines would continuously track grading distributions across different supervisors and districts. If a senior bureaucrat or local department hands out top-tier marks to their entire cohort, the algorithm flags the supervisor as an outlier, automatically normalizing or discounting the subjective components of that data block.

3. External Blind Double-Entry Verification

All theoretical submissions, project layout blueprints, and budget tracking sheets are fully anonymized and central-pooled. They are evaluated by external academic professors and corporate project management executives who have no visibility into the candidate's name, background, or physical posting location.

The Macroeconomic Win-Win

This structural evolution fundamentally alters the relationship between the Indian state and the market. When corporate recruiters open an applicant’s digital profile, they are no longer guessing based on an interview or a college degree. They see an authenticated, unalterable ledger asset:

Graduate Profile: PSPI 9,247 / 10,000 (Top 3% of National Cohort)

  • Degree: Bachelor of Public Administration (BPA) - Urban Infrastructure Track
  • Audited Highlight: Managed a ₹35 Crore asset deployment project; reduced procurement leakage by 18% versus historical baselines while achieving a 92% Citizen Satisfaction rating. Verified in SQL, GIS, and Project Operations.

This turns the entire Civil Services ecosystem from a zero-sum game of elimination into a positive-sum engine of national human capital. Because it is directly tied to the elite civil services intake, entry into the BPA program will be attractive, carrying the social cachet of starting a professional career. The program delivers proven administration talent into the state machinery; or they could go to the private sector that is also starved for reliable and disciplined talent. The country replaces the "generalist who can write a great test" with a highly competent cadre of operations executives.

Cleaning Up the Last-mile Delivery

Beyond human capital, this structural shift introduces a massive, institutional effect: the systematic deflation of ground-level corruption.

In the current administrative setup, field-level service delivery is plagued by "rake-offs," bureaucratic rent-seeking, and deliberate inefficiencies. Why? Because the permanent low-to-mid-tier bureaucracy is protected by ironclad job security and lacks any direct alignment between operational cleanliness and career mobility. In many jurisdictions, incentive structures can tolerate or fail to penalize collusion in local leakage networks.

The entry of the apprentice layer introduces a competing incentive structure into this equilibrium. These 18-to-22-year-old operators are driven by a single, over-riding obsession: building an unblemished, hyper-competitive career credential. Their lifetime economic value hinges entirely on their audited Performance Index (PSPI).

When an apprentice’s professional fate, whether staying in an elite government role or being poached by a high-paying corporate outbidder, depends on objective metrics like budget variance, project velocity, and anonymized citizen satisfaction, collusion becomes a ruinous economic choice. For an apprentice, participating in a local leak or letting a contractor inflate a bill directly tanks their timeline adherence and cost scores. They do not work in the calcified incentives of static bureaucratic tenure. They are driven by the imperatives of proven performance. They work in the frontline delivery layer as change agents whose incentives are closely aligned with measurable delivery outcomes, making corruption harder, riskier, and more visible.

Rebuilding the Indian Civil Services

The BPA model is not an incremental reform. It is a simultaneous attack on four structural failures that the current system has reproduced across every decade of independent India

  1. Selection Failure. The UPSC CSE selects for a specific cognitive profile: the ability to synthesize vast, heterogeneous information under sustained pressure over multiple years. This is a real capability. It is simply not the capability the job requires. A District Collector managing a flood relief operation, a municipal commissioner executing a slum rehabilitation project, or a joint secretary navigating an inter-ministerial deadlock needs operational judgment under ambiguity, not recall precision under examination conditions. The BPA replaces a proxy filter with a direct one.
  2. Equity Failure. The current system is formally meritocratic and substantively regressive. Clearing the CSE requires years of full-time preparation, access to expensive coaching infrastructure, and a family with the financial cushion to absorb a multi-year income gap. This systematically advantages candidates from upper-income, urban, educationally connected households regardless of their actual administrative potential. The BPA's earn-while-you-learn structure eliminates the financial barrier to entry entirely. A candidate from a rural district who cannot afford three years at a Delhi coaching hub competes on the same audited delivery ledger as anyone else.
  3. Incentive Failure. The permanent bureaucracy's dysfunction is not primarily a talent problem. It is an incentive architecture problem. Once absorbed, a civil servant's career trajectory is governed almost entirely by seniority, not performance. The rational response to this structure is risk minimization: avoid decisions that could attract scrutiny, protect tenure, and defer to hierarchy. The BPA cohort, operating under continuous audited assessment with career stakes directly tied to delivery metrics, inverts this logic from day one. Critically, the assessment architecture does not stop at absorption. The same PSPI framework, extended into in-service evaluation, replaces the batch-parity promotion clock with a merit-based career track: rapid ascent for high performers, lateral moves for those who plateau, and structured exits where warranted.
  4. Legitimacy Failure. The Indian state's chronic inability to deliver at the last mile is not solely a resource problem. It is a legitimacy problem: citizens in underserved districts have learned, across generations, that the administration is extractive rather than responsive. An 18-to-22-year-old apprentice embedded in a sub-district health center or a rural gram panchayat, with their career credential staked on citizen satisfaction scores, is a structurally different kind of state presence than the tenured functionary they replace. Over a cohort cycle or two, this changes the experienced texture of the state at the ground level: not through a policy announcement, but through the accumulated behavior of people whose incentives are finally aligned with delivery.

These are not four separate reforms. They are one reform with four consequences. A selection mechanism that tests what the job actually requires will, by its structure, reduce the equity distortion, reorient the incentive architecture, and begin to rebuild the legitimacy the Indian state has spent decades depleting.

The real purpose of the BPA is not just to replace the UPSC examination. It is to create a new class of operators. Every year, India produces millions of graduates and thousands of administrators. What it does not produce enough of are people who can reliably translate plans into outcomes. In a century defined by infrastructure buildout, urbanization, industrialization, and AI-driven productivity, operational talent may become one of the country's most strategic resources. India must learn to turn human potential into human capability at massive scale. The BPA is a proposal to industrialize that conversion process.

 



 


Friday, April 19, 2019

Survive, Thrive, Nurture: an agenda in a slogan

There are so many things to do, so how can we determine priorities? Musing on it, I thought it useful to make a tree of concerns, so that any concern can be added to the tree and put in context.

The concerns must scale from the personal to the universal. So here's my list:
  1. Decide: determine what to do
    1. Individual decisions
    2. Shared-value decisions (e.g., most organizational decisions)
    3. Value-exploration decisions (values/objectives are up for debate, e.g., in democratic governance decisions)
  2. Survive: as an individual, family, tribe, race, or species
    1. A supervolcano eruption, solar super-flare, gamma ray burst, asteroid-hit or comet-hit wipes out life on Earth's surface
    2. Global warming destroys lots of humans (the carbon cycle) caused by mismanagement of agriculture, energy, and transportation technologies
    3. Disease destroys lots of humans
      1. Bad civil engineering leads to public health impacts (e.g., from bad water, bad sewage, road accidents, building collapses, malaria-breeding-ponds, etc.) ... often hidden inside data on deaths caused by infectious diseases such as malaria, TB, etc.and deaths from large-scale accidents (homes collapse in an earthquake because they weren't up to code, floods occur because of badly designed water management systems, etc.
      2. Bad chemical engineering leads to public health impacts (e.g., from chemical pollution, etc.) ... sometimes visible in cancers and hormonal diseases
      3. Bad public health management ... often hidden inside data on deaths caused by infectious diseases and lifestyle diseases (cardiovascular, liver, diabetes, respiratory, digestive, sexually transmitted diseases, etc.)
      4. Bad energy & environmental engineering (causing air, land, and water pollution) ... deaths lurk inside lung disease, heart disease, and cancer statistics
      5. Antibiotic resistance
      6. Anti-vaccine idiots cause a resurgence of old diseases
      7. New mutant diseases (H1N1, super-flu, etc.)
    4. War, Insurgency, Murder, Manslaughter, Judicial Decree, Terrorism
      1. Murder, Manslaughter, and Terrorism
      2. War, Organized Crime, Civil War, and Insurgencies
      3. Judicial decree (the death penalty)
      4. New weapons (biological, nanotech or AI/drone) that may make existing conflicts more grievous
    5. Famine (the nitrogen & phosphorous cycles, non-sustainable agriculture, monoculture crop wipe-out by disease, ecological breakdown, etc.)
    6. Water shortage (mostly stupid water-wasting projects)
    7. Accidents
      1. Road (traffic) accidents
      2. Industrial accidents
      3. Domestic accidents
      4. Natural disasters: earthquakes, floods, volcanoes
    8. Suicide
    9. Personal (biological) lifespan extension
  3. Thrive: to improve the standard of living in various different ways
    1. Sufficient food, clothing and shelter for everyone 
    2. Access to energy, healthcare, education, transportation
    3. Removal of parasitic losses in provision of goods and services (where funds or goods are diverted before they reach the beneficiaries, such as free state services becoming unavailable due to absenteeism and low productivity of state employees, siphoning of funds from state projects, electricity transmission losses, deliberate bad loan origination by banks, etc.)
    4. Better health
    5. More leisure time
    6. Better food and drink
    7. Better enjoyment & entertainment
  4. Nurture: to help others (including other species or objects) to survive and thrive
    1. Pets and domestic animals
    2. Plants and animals of agricultural, commercial, and aesthetic value
    3. All life on Earth
    4. All life in the Universe

Urbanization, farming, and water

Can we support a projected population of 180 crores (1.8 billion) without a crisis in food, water, living standards, and ecosystems?

Transit Oriented Development
In high-rise "Transit Oriented Development" urban spaces, it's easy to get nice homes with an on-ground density of 100 sq.meter per home. Let's take a city size of 300,000 people so that it can support a good education and healthcare infrastructure. Assuming 2.5 people/home that gives a population density of 40 sq.m/head and a city size of 12 sq.km. This can fit into a 2 km radius, quite friendly for walking or cycling and with very short in-city commutes. Inter-city transport would be supported by high-speed mass transit, railways, highways, and waterways where feasible. Airports can serve sets of cities, say at scales ranging from 4 to 40.

Can we house and feed the population with high living standards?
People will need food. There are 3.7 kCal per gram of cereal. A fit man needs 2,500 kCal per day. That's 0.68 kg/head/day. Per https://data.worldbank.org/indicator/AG.YLD.CREL.KG, India produces 2,993 kg/hectare. There are 100 hectares per square kilometer. So India produces 299,300 kg/sq.km. That means 442,964 people can be fed per day per square km, or 1,214 people per year per square km. So a city of 300,000 people will need 247.2 square km of food-growing fields. Those fields can fit into a ring of 9.1 km radius -- an inner circle of 2 km radius for the city, with a ring of fields, 7.1 km wide, around the city. Farmers can live in the city and enjoy urban standards of living. Bye-bye rural distress. And those urban standards are comparable to Paris (France): 25,000 people/sq.km. in that inner city versus 20,000 for Paris. If you include the fields in the city area for density calculations, it's just 1,160 people/sq.km. Intercropping gets us vegetables and fruits. We haven't factored in any increase in farm productivity. and we've also not factored in the output of orchards, gardens, and plantations outside the city limits.

Will we have enough water?
Average annual rainfall is 300–650 millimetres in India. Let's take 300 mm for our city. We'll harvest water over the full 259.2 sq. km. (city and farmlands) to get a water budget of 77,759,525 cubic meters of water/year. That's 710 liters/person/day, (300,000 people, 1,000 liters/cubic meter, 365 days/year). That's a pretty nice water budget. And remember that water can be recycled, and we've not even talked of recycling that we would, of course, implement.

Will it scale?
Each city will be at least 18 km away from its nearest neighbor. With a transit speed of 120 km/hour, that distance is 9 minutes. A conurbation of 36 cities would comprise 10.8 million people, about the size of London, New York, or Seoul. That conurbation would be 154 km. from corner to corner (if those 36 cities are arranged in a 6 by 6 square). So the longest commute would be 77 minutes from corner to corner. Not too bad, and we haven't even explored any high-speed transit ideas, just plain decades-old transit technologies.

Is it feasible?
66% of the Indian population is rural, ref https://data.worldbank.org/indicator/sp.rur.totl.zs, and about 400 million have not been born as yet. So we can build thousands of cities by upgrading existing villages as greenfield projects. Next, factor in satellite-city development near existing cities to handle their growth. We can get most of the way to the end state without even getting near the brownfield projects of existing-city revitalization. These revitalizations will encounter historical roots and cultures that we will need to consider, possibly as one-off designs that would preserve and enhance the deep urban cultures of the existing Indian cities.

A growing country with lovely cities, local food production, and re-wilding nature 
India's population is still increasing, and expected to flatten out at about 180 crores (1.8 billion). That's going to require 6 thousand such cities of 0.3 million people per city. India has a land area of about 3.3 million sq. km. The 6 thousand cities will use 72,000 sq. km. Compare that to the 222,688 sq.km. of current "urban land area" in India, ref https://tradingeconomics.com/india/urban-land-area-sq-km-wb-data.html). The ring of agriculture around each city will add up to another 1,483,191 sq. km. Compare that to 1,797,210 sq.km. at present, ref https://tradingeconomics.com/india/agricultural-land-percent-of-land-area-wb-data.html. So we can plant orchards, gardens, timber and other plantations in another 494,000 sq. km (15% of the land) and maintain the remaining 1,237 sq.km. (38%) as wild: for forests, grasslands, wetlands, and other natural landscapes that will restore our unbroken wildernesses for our ecosystems to thrive.

Dense cities, highly interconnected into super-cities: a recipe for economic growth. Each city surrounded by greenery, people eating sustainable local produce, an urbanized population with high quality of life. Lots of land set aside for wilderness. We can do it.

Thursday, March 23, 2017

Make in India to remove the energy constraint on India’s development


To increase our level of development, India needs to increase its level energy use per capita. This requires a massive increase in energy supply. The energy constraint is about how to increase energy supply without causing environmental pollution and global warming.

How much energy do we need?

As per the IEA (http://www.iea.org/statistics/), the annual per-capita energy consumption for India and the USA is as follows:
Energy Consumption, Annual (IEA, 2014)
India
USA
Total Energy Consumption, MWh/capita
7.4
80.7
Electric Energy Consumption, MWh/capita
0.8
13.0

Electric energy is only 11% of the Indian consumption. What constitutes the rest of it?
  1. Petroleum products (such as diesel, petrol, etc.) and natural gas
  2. Wood, dung-cake, and agricultural waste used for fuel
  3. Coal and lignite
We should set our development target in 2030 to be at the level of USA today. For this, we will need to scale up energy by 11 times. With the momentum we'll gain, we can build up from there. These are the proposed energy targets for India:
Energy Metric
2017
2030
2050
Total
Population (billions)
1.3
1.5
1.9
Total Energy, TWh
9,676
 121,068
 306,706
Oil & Gas, TWh
3,193
No fossil fuel
No fossil fuel
Electric Power, TWh
1,040
 118,068
 303,706
Coal and Lignite, TWh
2,443
No fossil fuel
No fossil fuel
Bio-waste, TWh
3,000
3,000 biofuel
3,000 biofuel
Per capita
Total Energy, MWh
7.4
80.7
161.4
Oil & Gas, MWh
2.5
 -
 -
Bio-waste, MWh
2.3
2.0
1.6

We must also have these constraints on our energy supply plan:
  1. Phase out fossil fuels (petroleum, natural gas, coal, and lignite) to avoid pollution
  2. Produce carbon-neutral biofuels to replace the diesel, petrol, kerosene, ATF, CNG, LPG, etc. Bio-wastes (wood, dung-cake, and agricultural waste) are renewable and carbon-rich, and serve as the feedstock for biofuels. To avoid ecological disaster, we must keep the biofuels at current level of 3,000 TWh/year.
  3. Use non-polluting energy sources (wind, solar, and nuclear) to fill the gap.
To meet this plan, we need to produce 121,068 TWh of energy by 2030, of which only 3,000 TWh is from bio-waste. Electric power generation must increase from 1,040 to 118,068 TWh, which is 114 times the current level.

Energy Metric
2017
2030
2050
Total
Total Energy, TWh
        9,676
   121,068
   306,706
Electric Power, TWh
        1,040
   118,068
   303,706
Bio-waste, TWh
        3,000
        3,000
        3,000
Growth
Electric Power
Baseline
           114
           292
Bio-waste
Baseline
                1
                1

This kind of 100x catch-up has happened earlier: our tele-density shot up from 5 million in 1991 to 700 million in 2012 and over 1 billion in 2016.

How much generating capacity will we need? At 90% plant load factor, we need 15,000 GW. How can we build it? Ref http://powermin.nic.in/en/content/power-sector-glance-all-india, we have 315 GW of generating capacity at present, with 43% of it in the private sector. We have a better base to scale up private sector in energy than we had for the telecom sector.

Installed Capacity
2017
2030
State Sector, GW
103
103
Central Sector, GW
77
77
Private Sector, GW
135
15,000
Total, GW
315
15,180


To ramp up electric power generation to 15,000 GW, these are the methods:
  1. Solar: India’s solar potential is estimated at 750 GW
  2. Wind: India’s potential could be higher than 1,000 GW
  3. Nuclear: power can supply the balance of 13,250 GW.
The targets we currently pursue are sadly unambitious, even in the long-term. Ref http://niti.gov.in/writereaddata/files/document_publication/Energy_Efficiency.pdf, our NITI Aayog planners report only 762 TWh of energy use (probably just the electric power generated by State & Central plants), as against the 9,676 TWh estimated by the IEA. Then they intend to scale it to just 2,239 TWh in 2030, which is only 1.5 MWh/capita as compared to 7.4 MWh/capita of total energy consumption today and a developmental need for 11 times more than that. This plan will keep us firmly in the undeveloped and energy-poor category even in 2047.

The same lack of imagination and planning is what we see when we bemoan the bankrupt and money-losing Discoms. When we plan for 100x growth, these will become a remnant of a past era like the BSNL of telecom, instead of a dead weight crushing all attempts at scaling. 

Make in India
 
We need to set ourselves the challenge of establishing a power-plant industry that would power India up to any desired standard. The industry size will be huge: at $1.5 million per MW, it will be US$22.5 trillion of capex for 15,000 GW. We can afford it in the same way as we afforded the mobile telecom investments: funded by the people who pay for improved infrastructure because they see it improving their own lives and productivity.

We can make it transformative by “Make in India”, to create the manufacturing entities that will build the power plants for use in India and abroad. China already dominates the solar photovoltaic supply chain. The wind turbine space is hotly contested, but not by Indian companies. Scalable biofuel and nuclear plant technology is in startup stage, and can be a “Make in India” success story if we choose.

What will it take?
  1. Incubate and pilot world-class biofuel and nuclear plant technology in India
  2. Deploy and use the technology in India, with facilitative regulatory approach
  3. Build a track record of cheap and safe operations that will enable scaling globally.
What do you think? Please leave a comment.