The Harrod-Domar (H-D) model, a foundation of growth theory, posits that the potential growth rate (πΊπ) of an economy is determined by its savings rate (s) and the efficiency of capital investment, expressed as the Incremental Capital-Output Ratio (ICOR or π£). Specifically, the model holds that πΊπ=π /π£. In the context of India, this model implies that to sustain higher, non-inflationary, long-term growth, the country must boost its savings and improve the productivity of its capital. While the traditional model assumes constant technology, integrating capital-saving and labour-saving technology adjustments—which alter the ICOR and labour productivity—provides a more nuanced, modern interpretation of India’s potential, which is currently estimated to be around 6.5% to 7% in the medium term.
The Core Harrod-Domar Framework for India
The potential growth of the Indian economy is
fundamentally linked to its investment rate (Gross Fixed Capital Formation or
GFCF) and the productivity of that capital.
• Data
Profile (2023-25): Recent data shows India’s Gross Fixed Capital Formation Rate
(GFCFR) hovering around 31% to 34.5% of GDP.
• ICOR
(2018-2025): The ICOR, which measures capital inefficiency (higher means lower
efficiency), has averaged around 5.2 to 5.3 in recent years.
• Potential
Growth Calculation: Using the formula
Gp=s/v
With a 34% investment rate and an ICOR of 5.2, India’s
potential growth rate is calculated to be roughly 6.5%.
Incorporating Technological Progress
Technological progress significantly alters the
standard H-D model, enabling a higher growth rate for a given savings rate by
reducing the required capital per unit of output or enhancing labor efficiency.
1. Capital-Saving Technologies
Capital-saving technology improves the efficiency of
capital, effectively reducing the ICOR (π£).
• Impact
on India: Increased digitalization (e.g., UPI, digital infrastructure), AI, and
automation in manufacturing reduce the amount of physical capital needed to
produce an additional unit of output.
• Effect
on Growth: If AI and advanced manufacturing lower the ICOR from 5.2 to 4.5, for
example, the same 34% investment rate could drive a higher potential growth
rate is appproximately equal to 7.5 % reducing the "knife-edge"
instability of the model.
• Data
Trend: While investment has been high, inefficiencies and regulatory delays
have occasionally increased the ICOR (reaching up to 8.5 in FY13), acting as a
drag on potential growth.
2. Labour-Saving Technologies (and Productivity
Enhancements)
While often associated with replacing workers,
labor-saving technology in a developing country like India mainly manifests as
increased labor productivity or “efficiency of labor.”
• Impact
on India: The adoption of modern technology in agriculture and services reduces
the labor required per unit of output, increasing output per worker.
• Effect
on Growth: In the context of India's large, relatively low-skilled workforce,
labor-saving technology (such as mechanization) must be balanced with capital-intensive
technology to prevent structural unemployment. When successful, it boosts the
Total Factor Productivity (TFP) component, enhancing the numerator of the H-D
model indirectly by increasing overall economic capacity.
• Data
Trend: India’s shift toward services (high-tech IT, finance) demonstrates this,
where labor productivity is much higher than in traditional sectors, allowing
the economy to exceed the 6.5% mark in specific, favourable environments.
Recent Trends and Potential
• Current
Potential: India's potential growth rate is currently seen around 6.5% to 7.0%.
• Positive
Influences: Robust public sector investment in infrastructure has boosted
capacity, while the tech sector (contributing 7.3% to GDP in FY24) provides a
strong, capital-efficient, high-productivity boost.
• Negative
Factors: The aging of older capital stock and the high cost of adopting new,
cutting-edge technologies might create a "replacement cost" issue,
offsetting some gains from technological progress.
According to the Harrod-Domar model, India's potential
growth rate is fundamentally a product of its ability to sustain a high
savings-to-investment ratio, currently at a robust 34.5% of GDP, and its
capital efficiency. While the traditional model suggests a 6.5% potential, the
inclusion of technological progress, particularly capital-saving digital
infrastructure (like AI and digitization), acts as a significant accelerator,
allowing India to maintain a higher growth ceiling (6.5%–7.0%) than otherwise
possible. To sustain a higher potential, India must continue to lower its ICOR
through structural reforms and efficient technological adoption, reducing the
capital needed for growth and maximizing the output from its expanding labor
force.
No comments:
Post a Comment