Keynes’ Consumption Function Consumption is an important component
of National Income Consumption function shows the total expenditure which ceteris paribus, consumers will make on the purchase of different goods and services at different levels of income Keynes calls it as ‘propensity to consume’ It is the functional relationship between income and consumption Income is the main determinant of
Keynes’ Consumption Function Real consumption is a fairly stable function of real
income There will be an increase in consumption as income increases, but not as much as the increase in their income C = a + bY where, C = Consumption, a = autonomous consumption, Y is income and b is slope of the consumption curve or Marginal Propensity to Consume (MPC) Change in Consumption MPC = -----------------------------------Change in Income
Keynes’ Consumption Function According to him a rise in income will be
accompanied by rise in savings. The habitual standard of living has the first claim on income. The difference between his actual income and the expense of his habitual standard of living is saving. Average Propensity to Consume (C / Y) decreases as income increases both in the short as well as in the long run 0 < MPC < 1 Short run MPC < Long run MPC
Short Run Consumption Function: 1970-80
y = 0.9557x + 3647.2 2 R = 0.9978
140000 120000
Consumption
100000 80000 60000 40000 20000 0 0
50000
100000 Income
150000
Long Run Consumption Curve y = 0.7285x + 39783 2 R = 0.9989
3000000
Consumpti on
2000000 1000000 0 0
1000000 2000000 3000000 4000000 Income
Average Propensity to Consume y = -1E-07x + 0.9667 2 R = 0.7655
1.5
APC
1 0.5 0 0
500000 1E+06 2E+06 2E+06 3E+06 3E+06 4E+06 Income
Empirical Evidence The empirical evidence shows the
applicability of Keynes consumption function in the case of India for both short as well as long run MPC is less than 1 in both the periods APC declines as income increases But only exception is that short run MPC> long run MPC
Alternative Hypotheses Duesenberry – Consumption income ratio
depends on the current income to the peak income previously attained. C = a + byt + byt-1 C= 41158.87 + 0.733yt– 0.006yt-1
(6.74)
(-0.05)
Brown argues that C/Y is not necessarily
constant because consumption depends on habit persistence among the consumers.
Alternative Hypotheses He concludes that previous consumption
rather than previous income as a lagged variable in consumption function C= 25494 + 0.405Yt + 0.488Ct-1 (5.77) (4.61) Thus keynes assumption that consumtionincome ratio is non-proportional has been proved in Indian case. APC is not constant.
Data Sources on Consumption Expenditure in India NAS and NSSO Though many studies based their analysis
of changes in consumption pattern on NSSO, it is not free from limitations Data from NSS household consumption expenditure surveys are available quinquiennally and annual suveys The quinquiennial survey of 55th round departed from earlier surveys due to change in the reference periods for food and non-food categories (Himanshu, 2005)
Changes in Indian Food Basket The food consumption pattern in India is
diversifying towards high value commodities Per capita consumption of cereals, mainly coarse cereals has worsened the nutritional status of the poor (Praduman, 2007) Mittal (2007) argued that the increase in relative prices of cereals and diversification towards high-value food and changes in the tastes and preferences are responsible factors for the delcine
Changes in Indian Food Basket Chand (2003) has pointed out that
increase in prices of cereals is much higher than those of horticultural, milk and milk products Decline in consumption of cereals is also due to rise in prices The declining trend in the consumption of rice and wheat for the upper income group during 1983-1999 due to the consumption diversification effect Murthy (2000) argued that tastes and preferences are important determinants of consumer demand analysis
Changes in Indian Food Basket Rise in income explains 3.74 percent,
while tastes and preferences explains 4.0 and 0.37 percent due to changes in pricesthe decline in cereal consumption Thus, despite increase in income, these factors explain the decline in cereal consumption in India Over a period, the per capital annual consumption of edible oils, vegetables, fruits, milk, meat, fish, eggs and sugar has increased for both upper and bottom income groups
Changes in Indian Food BasketRural and Urban Dietary pattern is converging and becoming
similar in nature Increasing urbanisation of rural areas led to penetration of urban lifestyle and thus narrowed down the differences (Jayathi Ghosh, 2003) However, such convergence does not appear at disaggregated level
Changes in Indian Food BasketAcross States Higher incidence of poverty is found in
Orissa (47.2%), Bihar (42.6%), MP (37.4), Assam (36.1) and UP (31.2%) in 1999-00. It was found that poorer Indian states spent a larger portion of their budget on food as compared to other states. Higher proportion of expenditure on lowcalorie food Consumption diversification is found among higher income groups of these states
Calorie Consumption Analysis of estimates of population below
threshold level of calorie, protein and fact reveal a different picture A worsening of calorie and protein consumption in the bottom group of rural poor Imbalances in food habits is visible as percentage of population below the threshold level of fat consumption declined between 1983-1999-00
Conculsions Increase in income, urbanisation and
consumer perceptions regarding food quality and saftety effecting changes in the food-consumption pattern Diversification towards oils, fruits, vegetables, milk and eggs Though consumption of coarse cereals is affected, states such as Maharashtra, Gujarat and Rajsthan still consume more of them