Harrod's Growth model is given as under: \(\begin{array}{ll} \mathrm{S}_{\mathrm{t}}=\alpha \mathrm{Y}_{\mathrm{t}} & 0<\alpha<1 \\ \mathrm{I}_{\mathrm{t}}=\beta\left[\mathrm{Y}_{\mathrm{t}}-\mathrm{Y}_{\mathrm{t}-1}\right] & \beta>0 \\ \mathrm{~S}_{\mathrm{t}}=\mathrm{I}_{\mathrm{t}} & \end{array}\) where S t = Savings, Y t = Income, l t = Investment, t = time In this model for economic growth, the condition for economic growth is
Harrod's growth model is a key model in economics that attempts to explain the dynamics of economic growth. It focuses on the relationship between savings, investment, and the rate of output growth needed for sustained economic expansion. The model uses several equations to describe the economy at a specific point in time, \(t\).
The given equations are:
We want to find the condition under which this model predicts economic growth, which means income \(Y_t\) increases over time.
To find the condition for economic growth, we start by equating the savings and investment equations, as required by the equilibrium condition \( S_t = I_t \):
\( \alpha Y_t = \beta (Y_t - Y_{t-1}) \)
Now, we need to rearrange this equation to understand how income \( Y_t \) relates to income in the previous period \( Y_{t-1} \). This will show us the path of income over time.
First, distribute \( \beta \) on the right side:
\( \alpha Y_t = \beta Y_t - \beta Y_{t-1} \)
Next, move the \( Y_{t-1} \) term to the left side and the \( \alpha Y_t \) term to the right side to group terms involving \( Y_t \) and \( Y_{t-1} \):
\( \beta Y_{t-1} = \beta Y_t - \alpha Y_t \)
Factor out \( Y_t \) from the terms on the right side:
\( \beta Y_{t-1} = (\beta - \alpha) Y_t \)
Finally, express \( Y_t \) in terms of \( Y_{t-1} \):
\( Y_t = \frac{\beta}{\beta - \alpha} Y_{t-1} \)
This equation is a first-order linear difference equation. It shows that income in the current period is a constant multiple of income in the previous period. If we start with some initial income \( Y_0 \), income in subsequent periods will be:
Economic growth occurs if income \( Y_t \) increases over time. Looking at the solution \( Y_t = Y_0 \left(\frac{\beta}{\beta - \alpha}\right)^t \), assuming initial income \( Y_0 > 0 \), income will grow if the base of the exponential term is greater than 1. That is, the factor by which income is multiplied each period must be greater than 1.
The condition for economic growth is therefore:
\( \frac{\beta}{\beta - \alpha} > 1 \)
For this inequality to hold and lead to sustained growth, the term \( \frac{\beta}{\beta - \alpha} \) must be positive. Since we are given \( \beta > 0 \), this implies that the denominator \( \beta - \alpha \) must also be positive (\( \beta - \alpha > 0 \)), which means \( \beta > \alpha \). If \( \beta - \alpha < 0 \), the fraction would be negative, leading to oscillations or decline in income, not continuous growth.
Let's examine each option in light of the condition \( \frac{\beta}{\beta - \alpha} > 1 \) derived from Harrod's growth model:
Based on the derivation from the fundamental equations of Harrod's growth model, the condition for economic growth, where income increases over time, is \( \frac{\beta}{\beta - \alpha} > 1 \).
| Concept | Equation | Meaning |
|---|---|---|
| Savings Function | \( S_t = \alpha Y_t \) | Savings are proportional to income, \( \alpha \) is the savings rate. |
| Investment Function | \( I_t = \beta (Y_t - Y_{t-1}) \) | Investment is proportional to the change in income, \( \beta \) is the accelerator coefficient/capital-output ratio. |
| Equilibrium Condition | \( S_t = I_t \) | Planned savings equal planned investment. |
| Income Path | \( Y_t = \frac{\beta}{\beta - \alpha} Y_{t-1} \) | Shows how income changes from one period to the next. |
| Condition for Growth | \( \frac{\beta}{\beta - \alpha} > 1 \) | The factor by which income grows each period must be greater than 1. |
The framework used here is closely related to the Harrod-Domar model, which was one of the earliest attempts to provide a dynamic analysis of economic growth. In a slightly different formulation, the Harrod-Domar model defines three growth rates:
Harrod highlighted the difficulty of achieving a steady state where \( G = G_w = G_n \) due to the independent nature of savings (\(\alpha\)), investment decisions (\(\beta\)), and population/technology growth. Deviations from this path can lead to instability, often referred to as Harrod's "knife-edge" problem.
The condition \( \frac{\beta}{\beta - \alpha} > 1 \) derived here is specifically the requirement for income to show positive growth over time in the given structure, corresponding to \( Y_t \) increasing relative to \( Y_{t-1} \).
Match the following:
| (a) Marginalist Revolution | (i) Samuelson |
| (b) Multiplier-Accelerator model | (ii) J. R. Hicks |
| (c) IS-LM curves | (iii) Jevous |
| (d) Real Business Cycle | (iv) Robert J. Borro |
Choose the correct option from those given below:
As per the SRS Bulletin of September 2017, the estimated death rate for Kerala is 7.6, while for Bihar it is 6. From these data which is the correct inference to draw?
Arrange the following States in descending order according to Maternal Mortality Ratio (MMR) as per the Special Bulletin of SRS, May, 2018:
(i) Assam
(ii) Bihar
(iii) Madhya Pradesh
(iv) Uttar Pradesh
Choose the correct answer from the code given below :
Which of the following statements is true for the Indian economy according to the World Bank figures for 2017?
If demand for a consumer is given by the function p = 27 - 3x - x 2(where x = quantity demanded, p = price), the consumer's surplus at x = 3 is