(a) Do you think that India experienced a major break in GDP growth and its sectoral composition during the 1980s? Give reasons…

1980s break India’s 1980s did show a partial break, but not a clean structural rupture. The “break” thesis, associated with DeLong and Rodrik-Singh, stresses a pro-business attitudinal shift: easier industrial approvals, tax and regulatory easing, greater private investment, and a more growth-friendly state. Virmani locates the break in 1981, while Srivastava sees acceleration from 1979-80, suggesting the 1980s were a continuation of an earlier upturn. Nayyar’s counter is that the state-led, licensing-and-public-sector model persisted, so the change was one of degree. The evidence supports a qualified yes: growth rose from around 4.5 per cent in the 1970s to about 5.5 per cent in the 1980s, but the sectoral shift was uneven. Agriculture’s share of GDP and employment began to fall, yet rural distress persisted; agricultural growth was uneven, with foodgrain output rising but rural incomes lagging. Industry expanded, but without a matching productivity surge, while services showed the beginnings of tertiarisation, though employment remained agriculture-heavy. Thus the 1980s were a break in growth momentum and sectoral mix, not a full liberalisation break.

Demand-side role In the Keynesian AD-AS framework, with short-run sticky prices and spare capacity, aggregate demand determines output and national income. AD = private consumption + public consumption + gross fixed capital formation + inventory changes + net exports. In India, private consumption is the largest and most stabilising component, while public consumption acts as a counter-cyclical floor. Investment is the volatile component: GFCF rose to about 32-34 per cent of GDP in 2007-08, while total GCF including inventories and valuables was near 38 per cent; thereafter investment slowed due to credit constraints, capacity utilisation and policy uncertainty. Inventory changes are small but signal business confidence. Net exports became more important after 1991, with exports and remittances cushioning domestic demand. Sectoral demand multipliers matter: infrastructure and industry demand tend to pull up upstream and downstream activity more than final consumption alone. Empirically, India has often grown in a consumption-led manner, but sustained income expansion requires investment-led capacity creation. The 2016-19 rural demand collapse, linked to farm distress and weak rural consumption, shows how demand-side shocks can transmit to national income.

Non-income poverty Non-income dimensions should be treated as complementary, not substitutive, to income. Income lines—Tendulkar, which moved away from explicit calorie anchoring, and Rangarajan, which used calorie-protein-fat norms—capture purchasing power but miss capability deprivation in Sen’s sense. The Alkire-Foster MPI, used in NITI Aayog’s 2021 baseline, applies a dual cutoff to a set of indicators—ten in the standard formulation, expanded in NITI’s baseline—across health, education and living standards. This captures informal vulnerability: households above the income line may lack sanitation, electricity, schooling or nutrition. The complementarity is visible in convergence/divergence cases: Kerala shows low multidimensional poverty despite modest income, while several BIMARU states show income growth coexisting with health and education gaps; MPI also reveals intra-state inequality. Operationally, however, MPI faces data-frequency limits, weighting controversies and targeting trade-offs: BPL cards require a binary income/consumption cutoff, whereas MPI gradation may exclude marginal households or dilute welfare targeting, though it can guide district-level service delivery. Hence income remains essential for transfers, while MPI should complement it for capability-based poverty reduction.

Conclusion The three issues are linked by the measurement-policy nexus. The 1980s break was real but incomplete; demand-side management must combine consumption support with investment and external demand; and poverty measurement must pair income lines with MPI to target both transfers and capabilities. This integrated view improves both macro stability and social outcomes. A policy that relies only on GDP, only on aggregate demand, or only on income poverty will miss structural, cyclical and welfare dimensions.