Answer the following questions in about 150 words each: (a) "Factor intensity reversal is incompatible with Heckscher-Ohlin…

(a) Factor intensity reversal means the same good is capital-intensive in one country and labour-intensive in another because relative factor prices, technology or input mixes differ. The Heckscher–Ohlin model assumes a fixed factor-intensity ranking, so a capital-abundant country exports the capital-intensive good and a labour-abundant country exports the labour-intensive good. If reversal occurs, the same good can be labour-intensive in the capital-abundant country and capital-intensive in the labour-abundant country, allowing trade patterns that contradict H–O predictions. Leontief’s paradox—U.S. exporting labour-intensive goods—was partly explained by factor-intensity reversal; Minhas and later Leontief found evidence that intensity rankings can reverse across countries. It can also arise from differences in factor quality, not just prices. This complicates empirical tests. Thus the statement is true only for the textbook H–O model with fixed intensities; reversal is not logically impossible, but it makes H–O predictions ambiguous and weakens its explanatory power.

(b) Currency depreciation is inflationary mainly through cost-push and demand channels. When the rupee falls, imported crude oil, capital goods and intermediate inputs become dearer; firms pass higher costs to prices, raising CPI and PPI. The effect is stronger when imported inputs are essential and pass-through is high in India. A weaker currency also makes exports cheaper and imports costlier, which can increase export-led demand and create demand-pull inflation if the economy is near capacity. The J-curve effect means the trade balance may worsen before improving, so imported inflation can persist. If RBI intervenes to defend the rupee, it sells foreign exchange, absorbing domestic liquidity; without sterilization this is contractionary, not inflationary. However, if it sterilizes by buying government securities, liquidity is re-injected, and if fiscal deficits are monetized, inflationary pressure rises. India’s 2013 taper-tantrum episode showed how capital outflows, rupee depreciation and imported inflation can interact.

(c) Kuznets’ inverted-U hypothesis can be extended to environment as the Environmental Kuznets Curve: pollution first rises with per-capita income and later falls. The mechanism rests on three effects. Scale effects increase pollution as output expands; composition effects shift activity from agriculture to industry and then to services; technique effects bring cleaner technology, stronger regulation and higher willingness to pay for environmental quality. Grossman and Krueger found that trade and income could reduce some pollutants in richer countries. Yet Stern and others critique the EKC as empirically fragile, dependent on indicators and time periods. India shows mixed evidence: SO2 emissions have fallen with cleaner coal, scrubbers and regulation, while CO2 and energy intensity remain high. The turning point is not automatic; it depends on policy, technology and institutions, and public demand for cleaner air and water over time. Hence the EKC is a useful heuristic, not a law.

(d) The modified HDI, especially the Inequality-adjusted HDI introduced from 2010, improves on HDI by making development sensitive to distribution. The original HDI combined life expectancy, education and income into an average; if treated as an arithmetic mean, high achievement in one dimension could compensate for deprivation in another. The modified approach uses non-compensatory geometric-mean logic and inequality-adjusted means, so inequality in health, education and income lowers the index. This captures that average growth may coexist with large deprivation. This is important for India, where state-level HDI gaps reveal uneven development across states, especially in health, education and skills. It is complemented by the Gender Development Index, which measures gender gaps in health, education and empowerment, and the Multidimensional Poverty Index, which identifies overlapping deprivations at the household level. Together they show that development is not only higher averages but also broader access, equity and freedom from poverty.

(e) Renewable energy supports environmental sustainability by substituting fossil fuels, reducing carbon emissions and air pollution. Solar, wind, hydro and biomass lower dependence on coal and oil, weakening fossil-fuel lock-in and improving energy security. It also reduces health costs from air pollution, lowers import bills, and supports climate targets while creating green jobs in India. Decentralized renewables—rooftop solar, mini-grids and solar pumps—extend electricity and productive energy to rural areas, supporting livelihoods without proportional emissions growth. For sustainability, renewables must be paired with demand management, efficiency, storage, grid reform, local manufacturing, resilience, security and rural jobs in India. India’s target of 500 GW non-fossil capacity by 2030 illustrates policy commitment to clean growth. However, sustainability also requires managing the full lifecycle: battery storage, grid integration, land use and circular-economy challenges such as solar-panel and battery disposal. With recycling, responsible mining and storage, renewables can reconcile growth with ecological limits. Overall, these mechanisms and measures are useful but conditional on assumptions, institutions, implementation and data.