The Subsidy War: When Governments Become Competitors

For much of the last three decades, the visible face of protectionism was the tariff. Governments raised duties, imposed quotas or restricted imports. The next phase may be much harder to see at the border. Competition is increasingly moving inside the factory gate, into tax systems, concessional finance, public procurement, research grants, cheap land, energy support and government-backed investment. The emerging global economy may therefore be shaped not simply by which company produces most efficiently, but by which country can afford to make strategic production economically possible.

From tariff walls to subsidy ecosystems. This is not entirely new. Industrialisation has rarely been a purely market-driven process. Britain protected and supported emerging capabilities during its industrial rise. The United States used public procurement, defence research and infrastructure to develop technologies that later became commercial industries. Japan, South Korea and other East Asian economies combined finance, technology acquisition, exports and industrial coordination. China subsequently demonstrated the enormous scale at which state policy, infrastructure, finance and manufacturing could be brought together. What is different today is that industrial policy is returning simultaneously across competing economic powers, and it is concentrating on many of the same technologies.

Semiconductors, batteries, electric vehicles, renewable-energy equipment, critical minerals, advanced computing and other strategic industries now sit at the intersection of economics, climate policy and national security. OECD data released in June 2026 estimated industrial subsidies covered by its MAGIC database at about $108 billion in 2024, their highest level since the global financial crisis. Solar equipment, semiconductors and heavy industries were among the most subsidised sectors over 2005–24.  The important change is therefore not simply that subsidies exist. It is that governments increasingly regard productive capacity itself as a strategic asset.

The market price may no longer tell the whole story. Imagine two factories producing broadly similar batteries. One pays normal commercial interest rates, purchases electricity at market prices, finances its own research and carries the full risk of expanding capacity. The other receives tax credits, concessional finance, infrastructure support, research assistance and guaranteed public demand. Both products eventually arrive in the international market with a price attached to them. But those prices emerge from very different economic ecosystems. The apparent competition between two companies can therefore conceal competition between two national industrial systems.

This changes the old idea of comparative advantage. Countries traditionally specialised according to resources, labour, skills, capital and accumulated capabilities. Increasingly, comparative advantage can also be deliberately financed. A government with deep fiscal resources can reduce the private cost of developing an industry for years while firms acquire technology, scale and supplier networks. Once these capabilities become embedded, temporary support can produce a much more permanent industrial geography.

The dangerous inequality is becoming fiscal. This is where the subsidy war becomes particularly uncomfortable for developing economies. UNCTAD reported in July 2026 that strategic sectors accounted for 44 per cent of global greenfield investment in 2025, compared with 16 per cent in 2020. Announced project values in these sectors increased from $109 billion to $576 billion over five years. Yet low- and lower-middle-income economies captured only around 10 per cent of strategic-sector greenfield investment during 2020–25. 

The future industrial divide could therefore be determined partly by the size of government balance sheets. Richer economies can subsidise semiconductor fabrication, battery factories, hydrogen, biotechnology laboratories and advanced defence manufacturing while still financing infrastructure and research. Many poorer countries face a completely different arithmetic. UNCTAD reported in 2026 that government interest payments in developing countries increased 102 per cent between 2014 and 2024 while government revenues increased only 39 per cent; it estimates that 73 per cent of developing countries lost fiscal space between 2018 and 2024.  Asking such economies simply to match the subsidies of much richer competitors is unrealistic.

The subsidy race can become a development trap. A dangerous cycle can emerge. Strategic industries move towards countries offering large incentives. Those investments create specialised suppliers, engineers, laboratories, patents and infrastructure. These capabilities then attract the next generation of investment. Countries unable to finance the first round may therefore lose not merely today’s factory but tomorrow’s industrial ecosystem.

This is why the subsidy war is potentially more consequential than a tariff war. A tariff can change the price of an imported product. A sufficiently large and sustained industrial programme can change where technology, skills, suppliers and innovation are located for decades.

There is another danger. Subsidies can easily become politically attractive but economically lazy. Governments may announce enormous incentive packages because expenditure is visible while capability is difficult to measure. A subsidised factory is not necessarily a competitive industry. If local suppliers remain weak, technology remains imported, research capability does not develop and production survives only while incentives continue, the country has purchased capacity without acquiring capability. The World Bank’s recent work on industrial policy similarly stresses that fiscal space, market size and the government’s capacity to implement policy constrain what countries can effectively do. 

India cannot win by writing the largest cheque. For India, this distinction is crucial. Attempting to reproduce every subsidy offered by the United States, China, Europe, Japan or South Korea across every strategic industry would spread public resources too thinly. The more durable strategy is to use public support to remove specific capability gaps: testing facilities, specialised skills, industrial research, standards, component ecosystems, patient finance, reliable power, logistics and supplier development.

The question for every incentive programme should therefore be brutally simple: what capability will remain when the subsidy ends?

If the answer is only additional production capacity, the policy may have purchased output. If the answer includes domestic engineering knowledge, qualified suppliers, intellectual property, skilled workers, export relationships and continuously improving productivity, public expenditure may have helped build an industry.

MSMEs could become the missing layer. The subsidy debate is usually dominated by enormous semiconductor fabs, battery gigafactories and multinational investments. But industrial depth comes from hundreds or thousands of smaller specialised firms surrounding them. Precision components, tooling, sensors, chemicals, electronics, testing, maintenance, software, packaging and engineering services determine whether a strategic factory becomes an isolated plant or the centre of an industrial ecosystem.

This should change the architecture of industrial policy. Instead of measuring success primarily through investment commitments and installed capacity, governments should also track how many domestic suppliers enter the value chain, how their productivity changes, whether technology moves into smaller firms and whether those firms subsequently obtain independent customers and export markets.

The next protectionism may have no customs gate. Future trade disputes will still involve tariffs, but increasingly they will concern the conditions under which products were created: subsidies, local-content incentives, carbon support, public procurement, technology restrictions, concessional finance and strategic investment rules. UNCTAD reported that governments introduced a record 229 investment-policy measures in 2025, with incentives accounting for half of favourable measures and increasingly targeting advanced manufacturing, digital infrastructure, energy-transition technologies and critical minerals. 

The world may consequently be moving from globalisation organised primarily around efficiency towards globalisation organised around strategic capability. Capital will still cross borders, but governments will increasingly try to determine what kind of capital arrives, what it produces and which domestic capabilities remain behind.

The real subsidy war will be fought after the subsidy. The countries that spend the most money will not automatically build the strongest industries. The decisive question will be whether public money creates private capability. Countries that convert temporary support into technology, suppliers, skills, productivity and innovation can eventually reduce dependence on support. Countries that merely subsidise production may discover that they have created industries permanently dependent on the state.

For smaller and fiscally constrained economies, this offers an important alternative to an unwinnable spending contest. They do not need to subsidise everything. They need to identify narrow positions in emerging value chains where capabilities can realistically become globally competitive, cooperate regionally where scale is insufficient, and concentrate scarce public resources on knowledge and infrastructure that many firms can use. UNCTAD itself argues that developing economies should identify practical entry points into strategic value chains rather than simply attempting to match the massive subsidy programmes of major powers. 

The twentieth-century industrial question was often what can a country manufacture? The early twenty-first century increasingly asks what can a country subsidise? But the more important question for the decades ahead will be different:

What can a country learn to produce competitively after the subsidy disappears?

That may ultimately separate industrial policy from industrial dependency.

#IndustrialPolicy #Subsidies #Manufacturing #India #MSME #GlobalTrade #Semiconductors #EV #CriticalMinerals #EconomicDevelopment

A Cluster Is a Service, Not an Address

A small manufacturer does not experience a cluster through its entrance gate. The cluster becomes useful when a broken machine is repaired before an order is lost, a test report arrives before dispatch, or a technician helps prevent the same defect from appearing again. Its value is felt in the working day: fewer delays, fewer failures and a better chance of earning a reasonable return.

Yet an industrial estate can look complete while its enterprises remain economically isolated. Roads connect factory gates, but producers still struggle to find reliable advice, skilled workers, affordable testing and trustworthy suppliers. The physical distance between businesses has fallen. The cost of solving their problems may remain unchanged.

This is the uncomfortable question behind cluster development: what exactly has been created when firms share a location but continue to face every difficulty alone?

The history inside the workshop. Traditional clusters developed through the gradual accumulation of skills, relationships and commercial knowledge. Workers carried experience between workshops. Suppliers learned the requirements of particular products. Traders interpreted distant markets. Repair specialists kept equipment running. An entrepreneur could attempt something new because useful knowledge and support were within reach.

Much of this infrastructure was invisible. It existed in habits, reputations and repeated transactions. A supplier knew which producer could handle a difficult order. An experienced worker could identify a fault by its sound. A trader understood why a buyer rejected a particular finish.

However, the past should not be romanticised. Close networks could also exclude newcomers, restrict opportunities for women, protect dominant intermediaries and preserve poor working conditions. Modern cluster development should retain the advantages of shared knowledge while opening access beyond established circles. Public support has little developmental value if it merely gives old privileges a new building.

When construction becomes the measure of progress. Buildings are attractive to administrative systems because they are visible, countable and relatively easy to report. Developing a dependable institution is harder. It requires recruiting capable people, resolving disagreements, retaining customers and adjusting services when demand changes. These activities rarely produce an impressive inauguration photograph.

The supplied background cites a March 2026 MSME Ministry release reporting 606 projects approved under MSE-CDP since inception, with 364 completed. Those totals cover common facilities and infrastructure projects. They should not be presented as 364 completed common facility centres, and they do not establish how much enterprises benefited.

Even a verified completion count would answer only a limited question. It would tell us that specified project milestones had been reached. It would not reveal whether a small enterprise received timely assistance, reduced waste, secured a buyer or improved its margins.

A completed project can therefore coexist with an unfinished development task. The danger begins when administrative closure is mistaken for economic success.

Begin with a lost order. A useful cluster diagnostic should follow the difficulties that interrupt real business. Examine an order delivered late, a batch rejected, a machine repeatedly failing or a product that never moved beyond the sample stage. Speak with workers as well as owners, buyers as well as associations, and existing service providers as well as proposed beneficiaries.

This approach can expose a different problem from the one initially assumed. Firms asking for new machinery may actually need better process control. A proposed testing laboratory may be less urgent than reliable sample collection and access to an existing accredited laboratory. Training may achieve little if production schedules prevent workers from attending.

The question is which intervention removes a costly obstacle and whether enterprises will use it repeatedly.

Sector differences make standard packages particularly weak. Food enterprises may need grading, shelf-life assessment and dependable handling. Textile firms may need help with fabric development, finishing and buyer specifications. Pharmaceutical enterprises may need analytical support and process expertise. Engineering workshops may gain most from maintenance, calibration and tooling. Renewable equipment suppliers may need assistance meeting customer qualification requirements.

Even within one sector, firms at different stages need different support. A first-time supplier and an established exporter cannot be served adequately through an identical menu.

The economics after the grant. Before equipment is purchased, someone must establish who will use it, how often, at what price and with what expected benefit. Expressions of interest deserve testing through paid trials, pilot services or credible commitments wherever practical.

The financial calculation must extend beyond electricity and salaries. Equipment needs maintenance, calibration, consumables and eventual replacement. Specialists require competitive pay. Users may pay late. Demand may fluctuate. A facility that covers routine bills while ignoring these obligations can appear healthy while gradually becoming unusable.

Affordability also requires careful judgement. Charges that exclude micro enterprises weaken the purpose of shared facilities. Charges kept unrealistically low can destroy service quality. Transparent, targeted support for smaller users may be more effective than providing the same subsidy to every customer.

Existing private providers should be part of this assessment. Public money can improve access by organising demand, supporting quality or purchasing services competitively. Constructing a competing facility makes little sense if it weakens a capable local provider without delivering a clear additional benefit.

Cooperation needs rules. Shared ownership does not automatically create fair access. A centre can be collectively owned yet controlled by a few influential members. Larger firms may secure convenient booking slots, shape equipment purchases or receive preferential treatment. Smaller enterprises may remain members on paper while receiving little practical support.

Good governance makes these choices visible. Booking rules, charges, service standards and complaint procedures should be clear. Professional managers need authority to operate the institution, alongside scrutiny of performance and conflicts of interest.

Anchor customers can provide essential demand and financial stability. Their participation should be welcomed through arrangements that also protect access for occasional and smaller users.

Trust grows when commitments are honoured repeatedly. Meetings and membership certificates cannot substitute for that experience.

A busy centre can still miss the point. Utilisation matters, but activity alone is an incomplete measure. A laboratory can process many samples without helping firms understand recurring defects. A training centre can fill classrooms without changing production practices. A design service can generate attractive prototypes that buyers never purchase.

Evaluation should follow the consequences. Did rejection rates fall? Did delivery become more reliable? Did a firm enter a better market? Did workers gain useful skills, safer conditions or improved earnings? Were benefits concentrated among a handful of established enterprises?

These changes also need interpretation. Rising sales may reflect stronger market demand rather than the intervention. Falling sales during a downturn may conceal genuine improvements in productivity. Baseline information, repeated observation and comparison with similar firms can produce a more credible assessment.

The purpose of measurement should be to improve decisions, including the decision to redesign or discontinue a service that no longer solves a meaningful problem.

The future cluster will have to keep learning. Over the next decade, shared services could help smaller firms navigate automation, product traceability, energy efficiency, cybersecurity and changing buyer requirements. Specialist teams could serve several locations. Mobile technical units could reach workshops that rarely approach formal institutions. Shared digital systems could make expertise easier to find and services easier to book.

But technology could also deepen dependence. Firms may surrender sensitive production data without understanding how it will be used. A shared platform may become controlled by one vendor. An expensive system may be purchased before anyone has established the problem it should solve.

The future therefore demands institutions capable of evaluating technology, protecting enterprise information and changing direction. Their strength will lie partly in knowing when to invest and when an existing, simpler service is sufficient.

Cluster policy should finance this capacity to adapt. Management, technical outreach, maintenance and institutional learning deserve serious attention throughout the project’s life.

The most revealing test comes after construction ends and official attention moves elsewhere. Does the smallest workshop still know where to turn when something goes wrong? Does useful help arrive in time? Can the institution solve a problem that did not exist when its original project report was written?

A cluster earns its place in the economy through those answers. Its address tells us where enterprises are located. Its services determine what they can become.

#MSME #ClusterDevelopment #Manufacturing #IndustrialPolicy

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Beyond the Solar Panel: Where India’s Renewable Industrial Opportunity Really Begins

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The panel is visible. The industrial system behind it is not. For much of the public discussion on renewable energy, progress is measured in gigawatts. More solar capacity means a faster energy transition. More factories mean stronger domestic manufacturing. But industrial history tells us that these numbers can hide as much as they reveal. A country can install enormous quantities of equipment without capturing an equally large share of the technology, components, engineering knowledge, services and profits behind that equipment. India’s next renewable-energy challenge is therefore no longer simply how many solar panels it can install. The more difficult question is how much industrial capability India can build around every panel, turbine, inverter, mounting structure, cable, enclosure and maintenance contract.

From importing energy to importing energy equipment. India’s earlier energy dependence was largely about oil, gas and coal. The renewable transition changes the technology, but it does not automatically eliminate dependence. Solar power requires cells, wafers, modules, glass, encapsulants, power electronics, structures, specialised machinery, testing systems and increasingly storage. Wind requires blades, towers, generators, gearboxes, castings, control systems and sophisticated maintenance capabilities. The energy transition can therefore replace one form of dependence with another unless domestic industry moves deeper into these value chains. This concern is already reflected in policy: in March 2026, the government extended the Approved List of Models and Manufacturers framework to solar ingots and wafers from June 2028, explicitly seeking greater domestic value addition further upstream in the solar supply chain. (Press Information Bureau⁠)

164.59 GW is an energy achievement, not automatically an industrial achievement. India reached 164.59 GW of installed solar generation capacity by 31 July 2026, compared with only about 2.8 GW in 2014. Wind generation capacity reached 58.14 GW. These are remarkable changes in the physical structure of the Indian electricity system. But installed generation capacity should not be confused with manufacturing output, domestic value addition or technological ownership. Separately, India had developed around 24 GW of annual wind-turbine manufacturing capacity by March 2026. These figures measure different things and should not be added together or treated as evidence of the same industrial capability. (Press Information Bureau⁠)

This distinction will become increasingly important. A country may manufacture a final product while importing high-value materials, specialised equipment or critical components. It may have factories without owning process technology. It may have large installed manufacturing capacity without operating those factories at high utilisation. And it may produce enormous volumes while earning relatively thin margins. The future industrial question is therefore not simply Make in India. It is what India knows how to make, how reliably it can make it, and how much value remains inside the domestic economy after the product is sold.

The real renewable factory is an ecosystem. Industrial development rarely happens inside one large factory. Around successful industries emerge hundreds of specialised suppliers making components, tooling, fixtures, electrical systems, packaging, testing equipment and maintenance solutions. They accumulate knowledge gradually. One enterprise learns precision fabrication. Another masters coatings. Another becomes excellent at electrical enclosures. Another develops testing capability. Over time these apparently small capabilities become the industrial infrastructure that makes the larger industry competitive.

This is where the renewable transition becomes especially important for MSMEs. Most small firms should probably not begin by asking whether they can manufacture a solar panel or wind turbine. They should ask a narrower and commercially harder question: what recurring problem in the renewable supply chain can this enterprise solve better than somebody else?

The opportunity could be precision components, mounting structures, junction boxes, specialised fasteners, electrical enclosures, connectors, cable-management systems, fabrication, specialised tools, monitoring equipment, repair services, testing, refurbishment or preventive maintenance. Each opportunity has a different technological threshold. Each has different customers, standards, machinery, certification requirements, warranty risks and working-capital cycles.

That distinction matters because the easiest renewable opportunity to enter may not be the best one to remain in.

Assembly creates scale. Capability creates survival. India has experienced this lesson before. Industrialisation after Independence placed heavy emphasis on machinery and domestic production. Liberalisation after 1991 brought global technology, foreign components and competitive pressure. In several sectors India became highly capable in manufacturing and assembly, but remained dependent on imported technologies or critical components further upstream. Renewable manufacturing risks repeating that pattern on a much larger scale.

The dangerous assumption is that once a factory exists, competitiveness has been created. A factory is only the physical shell of competitiveness. The deeper assets are process knowledge, yields, quality consistency, engineering capability, supplier development, product improvement and customer confidence.

A renewable component that fails after several years creates costs far beyond its purchase price. Reliability therefore becomes an industrial currency. Suppliers able to demonstrate predictable performance can gradually move from being low-cost vendors to trusted engineering partners.

Clusters must become laboratories rather than industrial addresses. India has many industrial clusters, but the renewable transition requires something more sophisticated than geographic concentration. A cluster becomes strategically useful when firms can learn faster because they are located together.

Common facilities should therefore move beyond buildings and machines. They should help firms conduct materials testing, prototype development, process trials, calibration, product validation and workforce training. But there is an important condition: the market must trust the results. A testing centre that buyers do not recognise is infrastructure without economic power.

The next generation of cluster policy should consequently be measured not merely by how many firms use a facility, but by whether firms improve rejection rates, enter new supply chains, qualify with larger customers and eventually export.

Technology cycles are becoming shorter than investment cycles. This may become the biggest danger for renewable MSMEs. Technology can change faster than a small firm’s machinery loan can be repaid. Solar efficiency is improving. Cell architectures are changing. Storage technologies are evolving. Power electronics are becoming more sophisticated. Digital monitoring is expanding. Recycling will eventually become a major industrial activity.

An MSME investing heavily in a process designed around one technology, one specification or one customer can therefore become vulnerable very quickly.

The safer long-term investment may sometimes be in adaptable capability rather than maximum capacity. Precision engineering skills, quality systems, electronics integration, testing capability, materials knowledge and trained technicians can migrate across products. A narrowly configured production line may not.

This changes the meaning of industrial policy. Instead of only encouraging firms to buy machines, policy must help firms learn how to keep changing what those machines produce.

The next renewable opportunity may actually begin after installation. India’s enormous installed base will itself create another economy. Every solar system and wind turbine begins ageing from the day it is commissioned. Modules need inspection. Inverters fail. Structures corrode. Cables deteriorate. Components require replacement. Performance must be monitored. Eventually equipment must be refurbished, recycled or disposed of.

This means the renewable economy of the 2030s will not simply be an installation economy. It will increasingly become an operations, maintenance, diagnostics, refurbishment and circular-economy industry.

For MSMEs this could be particularly significant because service markets are often geographically distributed and less dependent on gigantic production plants. Local enterprises with trained technicians, digital monitoring capabilities and dependable spare-parts networks could build recurring revenue rather than depending entirely on one-time equipment sales.

India must move from gigawatts to value captured per gigawatt. Installed renewable capacity tells us how rapidly the electricity system is changing. Manufacturing capacity tells us how much equipment factories could potentially produce. Neither tells us enough about domestic value addition, profitability, technological depth or the resilience of the supplier network.

The more useful future question may therefore be different.

For every additional gigawatt India installs, how much engineering knowledge, component manufacturing, skilled employment, intellectual property, maintenance capability and export potential remains in India?

That is the number industrial policy should increasingly care about.

India has already demonstrated that it can create one of the world’s largest renewable-energy markets. The next transformation is harder. It must convert that market into an industrial learning system.

The solar panel should not be seen as the end product of India’s renewable strategy. It should be seen as the front door to a much larger manufacturing economy.

Beyond that door lie materials, components, machines, testing, software, storage, maintenance, recycling and thousands of specialised suppliers.

The countries that dominate the renewable economy of the future may not simply be those that install the most gigawatts. They will be those that learn how to capture the greatest industrial value behind every gigawatt.

The official data support the key distinction in your premise: the 164.59 GW figure is installed solar generation capacity, while roughly 24 GW refers to wind-turbine manufacturing capacity as of March 2026. They should not be treated as equivalent measures of manufacturing strength. 

#RenewableEnergy #SolarManufacturing #MSME #Manufacturing #EnergyTransition #MakeInIndia #IndustrialDevelopment

Capacity Is Not Security: The Missing Capability Behind Pharmaceutical Self-Reliance

​Capacity Is Not Security: The Missing Capability Behind Pharmaceutical Self-Reliance

A factory is visible. Dependence is often invisible. For decades, industrial policy has tended to measure strength through things that can easily be counted: factories established, investment committed, machines installed, tonnes of capacity created and jobs announced. Pharmaceuticals expose the weakness of this approach more clearly than most industries. A plant may exist on paper and machinery may be ready to operate, yet the country can remain vulnerable if the plant cannot obtain critical inputs, maintain quality, control costs, retain skilled people and sell its output competitively. Capacity tells us what might be produced. Security depends on what can be produced reliably when it is actually needed.

India’s pharmaceutical success created a new kind of vulnerability. The rise of the Indian pharmaceutical industry is one of the important industrial stories of the post-1970 period. Process chemistry capabilities, generic medicines, entrepreneurial manufacturing and a large domestic market helped India become an important global supplier. But success in finished formulations did not automatically create independence across the entire production chain. Over time, economics encouraged firms to source some bulk drugs, key starting materials and intermediates from highly competitive external suppliers. This was commercially rational for individual companies. At the level of the national economy, however, concentrated dependence created strategic risk. The lesson is uncomfortable but important: an industry can become globally successful at one stage of a value chain while simultaneously becoming vulnerable at another.

The new policy response is therefore necessary, but capacity should not be confused with the outcome. A Department of Pharmaceuticals release dated 27 March 2026 reported that 38 projects had been commissioned under the bulk-drug PLI scheme by December 2025, creating around 56,800 tonnes of annual capacity. It also highlighted support under PRIP for pharmaceutical research and stronger industry–academia linkages. These are meaningful programme milestones. But commissioned capacity does not tell us how much is being produced continuously, whether production is cost competitive, whether buyers are shifting from imports, whether plants can withstand price cycles, or whether strategically critical dependencies have actually fallen.

Tonnes may be the wrong unit for measuring security. Fifty thousand tonnes of relatively replaceable material may matter less strategically than a few hundred tonnes of an input without which an essential medicine cannot be manufactured. The future pharmaceutical-security map therefore cannot simply count aggregate domestic production. It must identify critical molecules, intermediates and starting materials; the number and geographical concentration of suppliers; switching possibilities; lead times; inventory requirements; quality constraints; and the consequences of disruption. Supply-chain security is ultimately about the importance of the missing component, not its weight.

The harder challenge begins after the factory is built. Pharmaceutical manufacturing is unforgiving. A producer must manage chemistry, process yields, energy, solvents, effluent treatment, analytical testing, equipment maintenance, documentation, regulatory compliance, working capital and customer qualification simultaneously. Failure in one area can undermine investment in all the others. This is particularly important for MSMEs. Smaller pharmaceutical companies may not need another subsidy as much as they need access to a process engineer, faster analytical testing, dependable utilities, affordable environmental services, regulatory expertise or patient working capital.

This is where cluster policy needs to change from building common facilities to solving common production problems. Before creating another testing centre, laboratory or common infrastructure facility, institutions should ask what is actually stopping enterprises from producing reliably. Is testing taking too long? Are specialised engineers unavailable? Is effluent treatment expensive? Are firms struggling with validation or documentation? Are utilities unreliable? Is process development weak? A shared facility without a clearly identified production bottleneck can become another building searching for users. The better cluster institution begins with the problem and only then decides whether the solution requires infrastructure, skills, technology, finance or coordination.

Biotechnology makes this distinction even sharper. Laboratories, incubators and research grants are useful, but buildings do not automatically produce innovation. Biotech capability develops when clearly defined technical problems meet capable scientific teams, patient capital, specialised equipment, intellectual-property strategy, regulatory pathways and firms capable of commercialisation. The distance between an experiment and a commercially viable product can be enormous. India therefore needs to measure not simply research expenditure or laboratories created, but how effectively knowledge moves from university to experiment, from experiment to validation, from validation to manufacturing and finally from manufacturing to the market.

The next stage of self-reliance must therefore be less dramatic and more demanding. The first generation of industrial policy asked whether India could manufacture something domestically. The next generation must ask whether India can manufacture it continuously, competitively and at the required quality without permanent protection. That means measuring plant utilisation, batch consistency, rejection rates, yields, delivery reliability, import displacement at the level of critical inputs, customer retention and the ability to survive normal movements in international prices.

Procurement and incentives can help companies cross the difficult early years. Strategic reserves may be justified for exceptionally critical materials. Public support can also help create markets where initial economics are difficult. But an industry that survives only while extraordinary support continues has created subsidised capacity rather than genuine resilience.

By the 2030s, pharmaceutical security may increasingly become a capability race rather than a capacity race. Countries will compete through process efficiency, advanced chemistry, biologics, continuous manufacturing, AI-assisted drug discovery, automation, regulatory credibility, traceable supply chains and the ability to move discoveries rapidly into commercial production. In such a world, simply possessing factories will become progressively less meaningful.

The real test of Atmanirbhar pharmaceutical manufacturing should therefore be surprisingly simple: Can the system keep supplying when conditions become difficult?

If production remains consistent, quality remains trusted, critical inputs remain available, customers continue buying and firms remain commercially viable, capacity has become capability.

That is when industrial capacity becomes industrial security.

#Pharma #Biotech #MSMEs #AtmanirbharBharat #SupplyChainResilience #Manufacturing #IndustrialPolicy