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By:

Parashram Patil

14 January 2026 at 8:49:45 pm

The Buffalo Billion

India’s vast dairy economy has turned ageing livestock into a $5-billion export engine and a new instrument of South-South trade. India’s enormous livestock economy is capable of sustaining both large-scale domestic consumption and a substantial international protein trade. According to livestock census data, the country has roughly 74.26 million sheep, 148.88 million goats and 9.06 million pigs, alongside vast standing populations of bovines and poultry. Together, these animal resources...

The Buffalo Billion

India’s vast dairy economy has turned ageing livestock into a $5-billion export engine and a new instrument of South-South trade. India’s enormous livestock economy is capable of sustaining both large-scale domestic consumption and a substantial international protein trade. According to livestock census data, the country has roughly 74.26 million sheep, 148.88 million goats and 9.06 million pigs, alongside vast standing populations of bovines and poultry. Together, these animal resources provide the raw material for domestic consumption as well as export-oriented meat production. The scale of the underlying livestock economy is matched by a sizeable processing infrastructure. Thousands of registered slaughterhouses and modern, export-oriented integrated meat-processing units operate under the regulatory framework of the Agricultural and Processed Food Products Export Development Authority (APEDA). National processing capacity exceeds 1 million tonnes annually, although utilisation remains relatively modest at around 40 to 50 percent. Major surplus-producing regions and export-processing hubs are concentrated in Uttar Pradesh, Andhra Pradesh, Maharashtra and Punjab. India’s buffalo meat, commonly known as carabeef, has established a durable presence in international markets. Its appeal rests on a combination of lean texture, grass-fed characteristics and price competitiveness. Export volumes have recently reached approximately 1.42 million metric tonnes, generating more than $5.09 billion in international revenue. The geography of this trade is revealing. Vietnam functions as the principal logistical entry corridor and re-export gateway into wider East Asian markets. Malaysia provides consistent demand, supported by bilateral commercial ties and structured halal-certified import requirements. Egypt serves as an important intersection between North African and Middle Eastern markets, where both state and private-sector demand for protein remains substantial. Indonesia is another significant destination, although its import volumes fluctuate according to regulatory quotas and domestic food-security policies. In West Asia, Iraq and Saudi Arabia remain strategically important markets, driven by widespread demand for relatively affordable red meat. The Tariff Wall India’s competitiveness, however, does not translate automatically into market access. Global agricultural geopolitics continues to shape the buffalo-meat trade through preferential trade agreements, sanitary and phytosanitary regulations and persistent differences in tariff treatment. In the European Union and the United Kingdom, competitors such as the United States, Australia, Brazil and Argentina, as well as European producers including the Netherlands, Poland and Ireland, frequently benefit from duty-free or highly preferential tariff arrangements. Indian exporters, by contrast, face structural tariff disadvantages and stringent compliance requirements, limiting their ability to penetrate high-value Western markets more deeply. The competitive picture is similarly complicated in Asia. China’s extensive free-trade arrangements with ASEAN countries give producers such as Thailand preferential, including zero-duty, access for certain meat products. Other regional suppliers can face considerably higher duties, including tariffs of around 20 percent on selected classifications. Such disparities can erode India’s underlying cost advantage. Latin America presents another challenge. Trading blocs such as MERCOSUR provide preferential treatment to producers within the bloc, while countries such as Brazil enjoy lower tariffs in selected emerging markets. For India, operating outside these preferential networks creates another layer of competitive pressure. Two indicators underline the structural competitiveness of India’s meat exports. The Nominal Protection Coefficient (NPC) stands at 0.21, suggesting that domestic meat prices remain substantially below international reference prices. This gives Indian buffalo meat a powerful price advantage in overseas markets. The Revealed Comparative Advantage (RCA) index stands at 1.07, indicating that India possesses a revealed comparative advantage in the international meat trade. The figure points to a sector whose export competitiveness is supported by a relatively low domestic price base and an established presence in global markets. Yet price competitiveness alone cannot guarantee expansion. India must contend with tariff disadvantages across China, ASEAN and European markets, as well as the increasingly important non-tariff barriers created by sanitary and phytosanitary requirements. Meat as Statecraft Much of India’s buffalo-meat economy is effectively a downstream extension of its enormous dairy industry. The monetisation of ageing or economically less productive livestock can provide value to farmers while reducing pressure on scarce feed and fodder resources. What might otherwise represent a declining agricultural asset can therefore be converted into an exportable commodity. That dynamic has also acquired a geopolitical dimension. India has effectively transformed an internal agricultural cycle into a commercial bridge with developing economies across Southeast Asia, West Asia and Africa. India’s position in the global protein trade nevertheless remains vulnerable to sanitary gatekeeping, changing trade alignments and preferential regional blocs that favour competitors such as Brazil and Australia. India could strengthen bilateral veterinary cooperation, improve traceability and certification systems, and pursue targeted agreements that reduce non-tariff barriers. (The writer is a member of Maharashtra Agriculture Price Commission. Views personal.)

The GDP Reality Check

AI generated image
AI generated image

The controversy over India’s latest GDP numbers have acquired an importance that extends beyond the economy. The Q1 2026-27 estimate has prompted accusations by some quarters that the BJP-led Central government allegedly manipulated the statistical base to manufacture a stronger growth rate.


National accounting is not a matter of picking two numbers and calculating the difference between them. It involves a constantly evolving statistical framework, changing price structures, revised data sources and successive estimates as more information becomes available.


India’s GDP figures are compiled and released by the National Statistical Office (NSO), under the Ministry of Statistics and Programme Implementation (MoSPI). On August 31, 2026, the government released an updated series of annual and quarterly national accounts with 2022-23 as the base year. Q1 2026-27 GDP was estimated at Rs. 88.27 lakh crore, representing growth of 7.6 percent over the comparable quarter of 2025-26.


The controversy centres on the fact that the estimate for Q1 2025-26 has itself changed substantially. Critics have pointed to the fall from the earlier Rs. 86.05 lakh crore to Rs. 80 lakh crore and argued that reducing the previous year’s figure mechanically boosts the current year’s growth rate. That interpretation, however, mistakes a revision of the statistical series for a manipulation of the growth rate.


Two changes in the new series are particularly important: the shift in the base year to 2022-23 and the adoption of double deflation for manufacturing.


The base year in national accounts provides the reference prices used to calculate real economic growth. As the structure of an economy changes, its consumption patterns, production mix and relative prices change too. A base year therefore cannot remain frozen indefinitely. Periodic revisions are necessary to ensure that the statistical system reflects the economy it is intended to measure.


The new GDP series incorporates an updated Output Producer Price Index and Banking Services Price Index, both based on 2022-23, along with improved administrative data. The revision is thus not merely cosmetic. It attempts to bring the statistical architecture closer to the contemporary economy.


The second major change is double deflation in manufacturing. Under this method, output and intermediate consumption are deflated separately before GVA at constant prices is calculated. This matters because output prices and input prices can move in different directions. A manufacturer may face sharply rising input costs even when the prices of its finished products barely move. Applying a single deflator to both would risk giving a distorted picture of real value added.


The IMF has described double deflation as the preferred method for measuring GDP in volume terms. The basic principle is straightforward: deflation removes the effect of price changes from nominal values so that the underlying volume of economic activity can be assessed.


This also explains the confusion over the reported manufacturing GVA deflator of minus 1.5 percent in Q1 FY27. MoSPI has clarified that this does not mean manufacturing prices fell by 1.5 percent. It reflects the effect of separately deflating manufacturing output and intermediate consumption, including the possibility that input prices rose faster than output prices.


The history of the Q1 2025-26 estimate illustrates why comparisons must be made within the same statistical framework. The figure was initially estimated at Rs. 86.05 lakh crore in August 2025 under the old 2011-12 base-year series. After the transition to the 2022-23 base year, it was comprehensively recalculated at Rs. 80.32 lakh crore in February 2026. It was then revised marginally to Rs. 80.44 lakh crore in June as more administrative data became available and was finally put at Rs. 80 lakh crore on August 31 after the incorporation of updated IIP and PPI series based on the new base year. (Source: PIB/MoSPI).


These successive changes have a statistical explanation. The Rs. 86.05 lakh crore figure belonged to the old 2011-12 series and cannot simply be compared with the Q1 2026-27 figure generated under the new 2022-23 framework. The meaningful comparison is between estimates produced within the same series.


Nor is GDP derived from a single indicator that can easily be adjusted to produce a desired result. Quarterly national accounts draw on hundreds of volume and value indicators. These include crop production, cement output, finished-steel consumption, commercial-vehicle sales and numerous other industrial, agricultural and administrative measures.


There is another point that often gets lost in political arguments over GDP: these are estimates, not immutable facts. As more comprehensive information becomes available, estimates are revised. That is a feature of national accounting, not evidence of statistical incompetence or manipulation.


This does not mean official GDP figures should be accepted unquestioningly. Statistical institutions must remain open to scrutiny, and the methodology behind national accounts should be transparent enough for independent economists to examine and challenge.


But scepticism is not a substitute for statistical reasoning. The mere fact that an earlier GDP estimate has been revised downward does not establish that it was deliberately lowered to manufacture a higher growth rate. To establish manipulation, one would need evidence that the methodology or data had been selectively altered for that purpose. The revisions described here, by themselves, provide no such evidence.


The relevant comparison for Q1 2026-27 is therefore the revised Q1 2025-26 estimate under the same 2022-23 base-year series, not the obsolete Rs. 86.05 lakh crore estimate generated under the superseded 2011-12 framework.


The new numbers will themselves be revised as more data arrive. Their statistical discrepancies may change too. That is normal. What matters is whether the underlying methodology is sound, whether revisions are transparently explained and whether the numbers withstand independent scrutiny.


India’s GDP debate should therefore move beyond the politics of a single headline number. The credibility of economic statistics depends not on whether they produce numbers that please one side or irritate another, but on whether they measure the economy as accurately as the available evidence allows.


(The writer is a retired naval aviation officer and a defence and geopolitical analyst. Views personal.)

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