08 chapter2

Chapter-II

Review of Literature

• Studies on Working Capital Management

• Studies on Working Capital Management in India

• Studies on Determinants of Inventory Investment

47

The purpose of this chapter is to present a review of
literature relating to the working capital management.
Although working capital is an important ingredient in the
smooth working of business entities, it has not attracted much
attention of scholars. Whatever studies have conducted, those
have exercised profound influence on the understanding of
working capital management good number of these studies
which pioneered work in this area have been conducted
abroad, following which, Indian scholars have also conducted
research studies exploring various aspects of working capital.
Special studies have been undertaken, mostly economists, to
study the dynamics of inventory investment which often
represented largest component of total working capital. As
such the previous studies may be grouped into three broad
classes─ (1) studies conducted abroad, (2) studies conducted in
India, and (3) studies relating to determine of inventory
investment.
Studies on Working Capital Management
Studies adopting a new approach towards working
capital management are reviewed here.
Sagan in his paper (1955),1 perhaps the first theoretical
paper on the theory of working capital management,
emphasized the need for management of working capital
accounts and warned that it could vitally affect the health of
the company. He realized the need to build up a theory of
working capital management. He discussed mainly the role
and functions of money manager inefficient working capital

48

management. Sagan pointed out the money manager’s
operations were primarily in the area of cash flows generated
in the course of business transactions. However, money
manager must be familiar with what is being done with the
control of inventories, receivables and payables because all
these accounts affect cash position. Thus, Sagan concentrated
mainly on cash component of working capital. Sagan indicated
that the task of money manager was to provide funds as and
when needed and to invest temporarily surplus funds as
profitably as possible in view of his particular requirements of
safety and liquidity of funds by examining the risk and return
of various investment opportunities. He suggested that money
manager should take his decisions on the basis of cash budget
and total current assets position rather than on the basis of
traditional working capital ratios. This is important because
efficient money manager can avoid borrowing from outside
even when his net working capital position is low. The study
pointed out that there was a need to improve the collection of
funds but it remained silent about the method of doing it.
Moreover, this study is descriptive without any empirical
support.

Realising the dearth of pertinent literature on working
capital management, Walker in his study (1964)2 made a
pioneering effort to develop a theory of working capital
management by empirically testing, though partially, three
propositions based on risk-return trade-off of working capital

49

management. Walker studied the effect of the change in the
level of working capital on the rate of return in nine industries
for the year 1961 and found the relationship between the level
of working capital and the rate of return to be negative. On the
basis of this observation, Walker formulated three following
propositions:
Proposition I─ If the amount of working capital is to
fixed capital, the amount of risk the firm assumes is also varied
and the opportunities for gain or loss are increased.
Walker further stated that if a firm wished to reduce its
risk to the minimum, it should employ only equity capital for
financing of working capital; however by doing so, the firm
reduced its opportunities for higher gains on equity capital as it
would not be taking advantage of leverage. In fact, the
problem is not whether to use debt capital but how much debt
capital to use, which would depend on management attitude
towards risk and return. On the basis of this, he developed his
second proposition.
Proposition II─ The type of capital (debt or equity) used
to finance working capital directly affects the amount of risk
that a firm assumes as well as the opportunities for gain or loss.
Walker again suggested that not only the debt-equity ratio, but
also the maturity period of debt would affect the risk-return
trade-off. The longer the period of debt, the lower be the risk.
For, management would have enough opportunity to acquire
funds from operations to meet the debt obligations. But at the

50

same time, long-term debt is costlier. On the basis of this, he
developed his third proposition:
Proposition III─ The greater the disparity between the
maturities of a firm’s debt instruments and its flow of
internally generated funds, the greater the risk and vice-versa.

Thus, Walker tried to build-up a theory of working
capital management by developing three prepositions.
However, Walker tested empirically the first proposition only.
Walker’s Study would have been more useful ─ had he
attempted to test all the three propositions. Weston and
Brigham (1972)3 further extended the second proposition
suggested by Walker by dividing debt into long-term debt and
short-term debt. They suggested that short-term debt should be
used in place of long-term debt whenever their use would
lower the average cost of capital to the firm. They suggested
that a business would hold short-term marketable securities
only if there were excess funds after meeting short-term debt
obligations. They further suggested that current assets holding
should be expanded to the point where marginal returns on
increase in these assets would just equal the cost of capital
required to finance such increases.

Vanhorne in his study (1969)4, recognizing working
capital management as an area largely lacking in theoretical
perspective, attempted to develop a framework in terms of
probabilistic cash budget for evaluating decisions concerning

51

the level of liquid assets and the maturity composition of debt
involving risk-return trade-off. He proposed calculation of
different forecasted liquid asset requirements along with their
subjective probabilities under different possible assumptions of
sales, receivables, payables and other related receipts and
disbursements. He suggested preparing a schedule showing,
under each alternative of debt maturity, probability
distributions of liquid asset balances for future periods,
opportunity cost, maximum probability of running out of cash
and number of future periods in which there was a chance of
cash stock-out. Once the risk and opportunity cost for different
alternatives were estimated, the form could determine the best
alternative by balancing the risk of running out of cash against
the cost of providing a solution to avoid such a possibility
depending on management’s risk tolerance limits. Thus,
Vanhorne study presented a risk-return trade-off of working
capital management in entirely new perspective by considering
some of the variables probabilistically. However, the
usefulness of the framework suggested by Vanhorne is limited
because of the difficulties in obtaining information about the
probability distributions of liquid-asset balances, the
opportunity cost and the probability of running out of cash for
different alternative of debt maturities.
Welter, in his study (1970)5, stated that working capital
originated because of the global delay between the moment
expenditure for purchase of raw material was made and the
moment when payment were received for the sale of finished

52

product. Delay centres are located throughout the production
and marketing functions. The study requires specifying the
delay centres and working capital tied up in each delay centre
with the help of information regarding average delay and
added value. He recognized that by more rapid and precise
information through computers and improved professional
ability of management, saving through reduction of working
capital could be possible by reducing the length of global delay
by rescuing and/or favourable redistribution of this global
delay among the different delay centres. However, better
information and improved staff involve cost. Therefore,
savings through reduction of working capital should be tried
till these saving are greater or equal to the cost of these savings.
Thus, this study is concerned only with return aspect of
working capital management ignoring risk. Enterprises,
following this approach, can adversely affect its short-term
liquidity position in an attempt to achieve saving through
reduction of working capital. Thus, firms should be conscious
of the effect of law current assets on its ability to pay-off
current liabilities. Moreover, this approach concentrated only
on total amount of current assets ignoring the interactions
between current assets and current liabilities. Lambrix and
Singhvi (1979)6 adopting the working capital cycle approach to
the working capital management, also suggested that
investment in working capital could be optimized and cash
flows could be improved by reducing the time frame of the
physical flow from receipt of raw material to shipment of

53

finished goods, i.e. inventory management, and by improving
the terms on which firm sells goods as well as receipt of cash.
However, the further suggested that working capital
investment could be optimized also (1) by improving the terms
on which firms bought goods i.e. creditors and payment of
cash, and (2) by eliminating the administrative delays i.e. the
deficiencies of paper-work flow which tended to extend the
time-frame of the movement of goods and cash.
Warren and Shelton (1971)7 applied financial simulation8
to simulate future financial statements of a firm, based on a set
of simultaneous equations. Financial simulation approach
makes it possible to incorporate both the uncertainty of the
future and the many interrelationships between current assets,
current liabilities and other balance sheet accounts. The
strength of simulation as a tool of analysis is that it permits the
financial manager to incorporate in his planning both the most
likely value of an activity and the margin of error associated
with this estimate. Warren and Shelton presented a model in
which twenty simultaneous equations were used to forecast
future balance sheet of the firm including forecasted current
assets and forecasted current liabilities. Current assets and
current liabilities were forecasted in aggregate by directly
relating to firm sales. However, individual working capital
accounts can also be forecasted in a larger simulation system.
Moreover, future financial statements can be simulated over a
range of different assumptions to portray inherent uncertainty
of the future.

54

Cohn and Pringle in their study (1973)9 illustrated the
extension of Capital Asset Pricing Model (CAPM)10 for
working capital management decisions. They tried to
interrelate long-term investment and financing decisions and
working capital management decisions through CAPM. They
emphasized that an active working capital management policy
based on CAPM could be employed to keep the firm’s shares in
a given risk class. By risk, he meant unsystematic risk, the only
risk deemed relevant by CAPM. Owing to the lumpy nature for
long-term financial decisions, the firm is continually subject to
shifts in the risk of its equity. The fluid nature of working
capital, on the other hand, can be exploited so as to offset or
moderate such swings. For example they suggested that a
policy using CAPM could be adopted for the management of
marketable securities portfolio such that the appropriate risk
level at any point in time was that which maintains the risk of
the company’s common stock at a constant level. Similarly,
Copeland and Khoury (1980)11 applied CAPM to develop a
theory of credit expansion. They argued that credit should be
extended only if the expected rate of return on credit is greater
than or equal to market determined required rate of return.
They used CAPM to determine the required rate of return for
the firm with its new risk, arising from uncertainty regarding
collection due to the extension of credit. Thus, these studies
show how CAPM can be used for decisions involved in
working capital management.

55

One more approach, used mainly in empirical studies,
towards working capital management has been to apply
regression analysis to determine the factors influencing
investment in working capital. Different studies in the past
have considered different explanatory variables to explain the
investment in inventory. A brief review12 of these studies is
important as regression equation of investment in working
capital, in the present study, would be formulated on the basis
of works on investment in inventory.
In inventory investment literature, there is basically one
school of thought according to which firms aim at an optimum
or desired stock of inventories in relation to a given level of
output/sales. This is known as acceleration principle.
Pioneering work in this field has been done by Metzler (1941)13.
However, his work was mainly on simple acceleration
principle which postulated that firms liked to maintain
inventories in proportions to output/sales and they succeeded
in achieving the desired level of inventories in a unit time-
period. That is to say, any discrepancy between the actual level
and desired level of inventories is adjusted within the same
time-period. Needless to say, that such an instantaneous
adjustment is not a realistic assumption to make.
Modifications, therefore, have been introduced in the literature
to provide for partial adjustment. Goodwin (1948)14 assumed
that firms attempted only a partial adjustment of the
discrepancy between the desired stocks as determined by the
level of output and the existing stock. Similarly, Darling and

56

Lovell (1965)15 modified Metzler’s formulation based on simple
acceleration principle and obtained, the relationship based on
flexible accelerator principle. There are several reasons
physical, financial and technical those motivate partial
adjustment. Among the physical factors, mention may be made
of procurement lags between orders and deliveries. The length
of such lags is connected with the source of supply, foreign or
domestic availability. Import licensing procedures on account
of foreign exchange scarcity could cause further delays in
adjustment. Among the financial factors, cost advantages
associated with bulk buying and higher procurement costs for
speedy delivery are also mentioned. Uncertainties in the
market for raw materials and in the demand for final product
also play a role in influencing the speed of adjustment.
Technically, firms like to make sure that changes in demand
are of a permanent character before making full adjustment.
The acceleration principle has great relevance in inventory
analysis than in the analysis of fixed investment, as there are
limits to liquidate fixed capital in the face of declining demand.
Other variables influencing inventories have been
introduced in the literature in the context of accelerator model.
Rate of interest is used as a proxy for the opportunity cost of
carrying stocks or as a measure of the cost of funds needed to
hold inventories. It has been found significant in the studies of
Hilton (1976)16 and Irwin (1981)17. Time-trend is expected to be
important because inventories generally accumulate with the
expansion of economic activities of the company. Anticipated

57

price changes, measured by changes in wholesale price index
of inventories, are taken as an explanatory variable to capture
speculative element in inventory. This suggests a positive
relationship between price changes and inventory. An increase
in sales is expected to increase the demand for stocks to meet
orders regularly. An increase in capacity utilization is also
expected to increase the demand for stock by increasing the
demand for raw materials and increasing the inventories of
finished goods. Thus, the variable, capacity utilization, is
postulated to have a positive coefficient in the equation.
Abramovitz (1950)18 and Modigliani (1957)19 highlighted
the impact of capacity utilization on inventory investment.
Existing stock of inventories is expected to take account of
adjustment process to the desired levels. Thus the variable,
existing stock of inventories, is postulated to be negatively
related with the desired stock. The ratio of inventory to sales
may affect inventory investment positively because a high ratio
of stocks to sales in the past suggests the maintenance of high
levels of inventories in the past and thus also calling for high
investment in inventories in the current period. The studies of
Metzler (1941)20 and Hilton (1976)21 have found this variable,
inventory-sales ratio, to be statistically significant. Fixed
investment is generally expected to affect inventory investment
inversely because of competing demand for the limited funds.
However, in case of an expanding firm, the two components
may be complementary. Besides, availability of funds from
retained earnings and external sources, may affect investment

58

decision by providing funds for financing inventory
investment. Therefore, retained earnings and flow of debt are
postulated to have positive coefficients.
The studies described so far, are the important studies
conducted abroad. A number of studies on working capital
management have been conducted in India also. The following
discussion describes Indian studies.
Studies on Working Capital Management in India
This part briefly reviews the studies conducted in India
in respect of working capital management in Indian industries.
The first, small but fine piece of work is the study22
conducted by National Council of Applied Economic Research
(NCAER) in 1966 with reference to working capital
management in three industries namely cement, fertilizer and
sugar. This was the first study on nature and norms of working
capital management in countries with ‘scarcity of investible
resources’. This study was mainly devoted to the ratio analysis
of composition, utilization and financing of working capital for
the period 1959 to 1963. This study classified these three
industries into private and public sector for comparing their
performance as regards the working capital management. The
study revealed that inventory constituted a major portion of
working capital i.e. 74.06 per cent in the sugar industry
followed by cement industry (63.1%) and fertilizer industry
(59.58%). The study observed that the control of inventory had
not received proper attention. The inventory control was
mainly confirmed to materials management leading to the

59

neglect of stores and spares. So far as the utilization of
working capital was concerned, cement and fertilizer industry
had a more efficient utilization of working capital. The sugar
industry had inefficient utilization of working capital largely
due to the accumulation of stock with the factories. As regards
financing of working capital, the study showed that internal
sources had contributed very little towards the financing of
working capital. It was 11.87 per cent in the cement industry,
15.03 per cent in sugar and 31.25 per cent in fertilizer industry,
17.78 per cent being the average. However, this study failed to
put into sharp focus the various problems involved in the
management of specific working capital accounts.
Appavadhanulu (1971)23 recognizing the lack of attention
being given to investment in working capital, analysed
working capital management by examining the impact of
method of production on investment in working capital. He
emphasized that different production techniques require
different amount of working capital by affecting goods-in-
process because different techniques have differences in the
length of production period, the rate of output flow per unit of
time and time pattern of value addition. Different techniques
would also affect the stock of raw materials and finished
goods, by affecting lead-time, optimum lot size and marketing
lag of output disposals. He, therefore, hypothesised that choice
of production technique could reduce the working capital
needs. He estimated the ratio of work-in-progress and working
capital to gross output and net output in textile weaving done

60

during 1960, on the basis of detailed discussions with the
producers and not on the basis of balance sheets which might
include speculative figures. His study could not show
significant relationship between choice of technique and
working capital. However, he pointed out that the idea could
be tested in some other industries like machine tools, ship
building etc. by taking more appropriate ratios representing
production technique correctly.
Chakraborty (1973)24 approached working capital as a
segment of capital employed rather than a mere cover for
creditors. He emphasized that working capital is the fund to
pay all the operating expenses of running a business. He
pointed out that return on capital employed, an aggregate
measure of overall efficiency in running a business, would be
adversely affected by excessive working capital. Similarly, too
little working capital might reduce the earning capacity of the
fixed capital employed over the succeeding periods. For
knowing the appropriateness of working capital amount, he
applied Operating Cycle (OC) Concept. He calculated required
cash working capital by applying OC concept and compared it
with cash from balance sheet data to find out the adequacy of
working capital in Union Carbide Ltd. and Madura Mills Co.
Ltd. for the years 1970 and 1971. He extended the analysis to
four companies over the period 1965-69 in 1974 study.25 The
study revealed that cash working capital requirement were less
than average working capital as per balance sheet for
Hindustan Lever Ltd. and Guest, Keen and Williams Ltd.

61

indicating the need for effective management of current assets.
Cash working capital requirements of Dunlop and Madura
Mills were more than average balance sheet working capital for
all years efficient employment of resources. For Union Carbide
Ltd., cash working capital requirements were more in
beginning years and then started reducing in the later years as
compared to conventional working capital indicating the
attempts to better manage the working capital. Chakraborty
emphasized the usefulness of OC concept in the determination
of future cash requirements on the basis of estimated sales and
costs by internal staff of the firm. OC concept can also be
successfully employed by banks to assess the working capital
needs of the borrowers.
Misra (1975)26 studied the problems of working capital
with special reference to six selected public sector undertakings
in India over the period 1960-61 to 1967-68. Analysis of
financial ratios and responses to a questionnaire revealed
somewhat the same results as those of NCAER study with
respect to composition and utilization of working capital. In all
the selected enterprises, inventory constituted the more
important element of working capital. The study further
revealed the overstocking of inventory in regard to its each
component, very low receivables turnover and more cash than
warranted by operational requirements and thus total
mismanagement of working capital in public sector
undertakings.

62

Agarwal (1983)27 also studied working capital
management on the basis of sample of 34 large manufacturing
and trading public limited companies in ten industries in
private sector for the period 1966-67 to 1976-77. Applying the
same techniques of ratio analysis, responses to questionnaire
and interview, the study concluded the although the working
capital per rupee of sales showed a declining trend over the
years but still there appeared a sufficient scope for reduction in
investment in almost all the segments of working capital. An
upward trend in cash to current assets ratio and a downward
trend in cash turnover showed the accumulation of idle cash in
these industries. Almost all the industries had overstocking of
raw materials shown by increase in the share of raw material to
total inventory while share of semi-finished and finished goods
came down. It also revealed that long-term funds as a
percentage of total working capital registered an upward trend,
which was mainly due to restricted flow of bank credit to the
industries.
Kamta Prasad Singh, Anil Kumar Sinha and Subas
Chandra Singh (1986)28 examined various aspects of working
capital management in fertilizer industry in India during the
period 1978-79 to 1982-93. Sample included public sector unit,
Fertilizer Corporation of India Ltd. (FCI) and its daughter units
namely Hindustan Fertilizers Corporation Ltd., the National
Fertilizer Ltd., Rashtriya Chemicals and Fertilizers Ltd. and
Fertilizer (Projects and Development) India Ltd. and
comparing their working capital management results with

63

Gujarat State Fertilizer Company Limited in joint sector. On the
basis of ratio-analysis and responses to a questionnaire, study
revealed that inefficient management of working capital was to
a great extent responsible for the losses incurred by the FCI and
its daughter units, as turnover of its current assets had been
low. FCI and its daughter units had high overstocking of
inventory in respect of each of its components particularly
stores and spares. Similarly, quantum of receivables had been
excessive and their turnover very low. However, cash and
liquid resources held by FCI and its daughter units had been
much lower in relation to operation requirements. So far as
financing of working capital was concerned, long-term funds
had been financing a low proportion of current assets due to
rapid increase of current liabilities. The profitability providing
an internal base for financing of working capital, had been very
low in these undertakings.
Verma (1989)29 evaluated working capital management
in iron and steel industry by taking a sample of selected units
in both private and public sectors over the period 1978-79 to
1985-86. Sample included Tata Iron and Steel Company Ltd.
(TISCO) in private sector and Steel Authority of India Ltd.
(SAIL) and Indian Iron and Steel Company, a wholly owned
subsidiary of SAIL, in public sector. By using the techniques of
ratio analysis, growth rates and simple linear regression
analysis, the study revealed that private sector had certainly an
edge over public sector in respect of working capital
management. Simple regression results revealed that working

64

capital and sales were functionally related concepts. The study
further showed that all the firms in the industry had made
excessive use of bank borrowings to meet their working capital
requirement vis-à-vis the norms suggested by Tandon
Committee.
Vijaykumar and Venkatachalam (1995)30 studied the
impact of working capital on profitability in sugar industry in
Tamil Nadu by selecting a sample of 13 companies; 6
companies in co-operative sector and 7 companies in private
sector over the period 1982-83 to 1991-92. They applied simple
correlation and multiple regression analysis on working capital
and profitability ratios. They concluded through correlation
and regression analysis that liquid ratio inventory turnover
ratio, receivables turnover ratio and cash turnover ratio
influenced the profitability of sugar industry in Tamil Nadu.
They also estimated the demand functions of working capital
and its components i.e. cash, receivables, inventory, gross
working capital and net working capital, by applying
regression analysis. They showed the impact of sales and
interest rate on working capital and its components. When only
sales was taken as independent variable, coefficient of sales
was more than unity in all the equations of working capital and
its components showing more than unity sales elasticity and
diseconomies of scale. When sales and interest rate were taken
as independent variable, sales elasticity was again more than
unity in demand functions of working capital and its
components except cash. So far as capital costs were concerned,

65

these had negative signs in all the equations but significant
only in inventory, gross working capital and net working
capital showing negative impact of interest rates on investment
in working capital and its components. Thus study showed
that demand for working capital and its components was a
function of both sales and carrying costs.
Studies on Determinants of Inventory Investment
Inventory, in most industries, accounts for largest
proportion of gross working capital. A number of studies,
therefore, have been conducted to find the determinants of
investment in inventories. The following discussion provides a
brief review of studies, dealing with factors influencing
investments in inventory in India.
Econometric studies to analyse the factors that influence
inventory accumulation in India, are based on time series and
pooling of cross section of time series date pertaining to
manufacturers’ inventories. Krishnamurty’s study (1964)31
was aggregative and dealt with inventories in the private
sector of the Indian Economy as a whole for the period 1948-61.
this study used sales to represent demand for the product and
suggested the importance of accelerator. Short-term rate of
interest had also been found to be significant.
Sastry’s study (1966)32 was a cross section analysis of
total inventories of companies across several heterogeneous
industries for the period 1955-60 using balance sheet data of
public limited companies in the private sector. The study
brought out the importance of accelerator represented by

66

change in sales. It also showed negative influence of fixed
inventory investment.
Krishnamurty and Sastry’s study in 197033 was perhaps
the most comprehensive study on manufacturers inventories.
They used CMI data and the consolidated balance sheet data of
public limited companies published by RBI, to analyse each of
the major components i.e. raw material, goods-in-process and
finished goods for 21 industries over the period 1946-62. It was
a time series study but some inter-industry cross section
analysis had also been done. Accelerator represented by
change in sales, bank finance and short-term interest rate were
found to be important determinants. Utilisation of productive
capacity and price anticipations had been found to be of some
relevance. Another study conducted by them in 1975 analysed
inventory investment in the context of flexible accelerator with
financial variables. Both RBI and Stock Exchange, Official
Directory, Mumbai data for seven important industries had
been taken for the period of 1956-69. Their study of pooled
cross section was in current prices whereas time series analysis
based on RBI data was a constant prices. OLS results showed
the important influence of accelerator, internal and external
funds flow and fixed investment on inventory investment.
The study by Vinod Prakash (1970)34 was a time series
analysis with mostly undeflated data taken from CMI and
Annual Survey of Industries (ASI) for the period 1946-63. It
examined the influence of structural changes in manufacturing
activity on the relative size and composition of inventory in the

67

large scale-manufacturing sector in India. Three different
models for industry groups and for six important individual
industries had been tried. Output/sales, capacity utilization,
short-term rate of interest, money supply, foreign exchange
availability, price index, size and time trend were taken as
explanatory variable. The simple accelerator model with
output gave better results for industrial groups, whereas the
ratio model seemed to perform better in the analysis of
individual industry. The flexible accelerator models were
found to be inferior. The impact of price index was found to be
generally insignificant, while the impact of foreign exchange
and money supply was absent. The rate of interest showed a
perverse impact. Time trend appeared to be important than the
size of establishment. The role of availability of funds was
completely ignored in this study.
The study by George (1972)35 was cross section analysis
of balance sheet data of 52 public limited companies for the
period 1967-70. Accelerator, internal and external finance
variables were considered in the equations for raw materials
including goods-in-process and total inventories. However,
equations for finished goods inventories considered only
output variable. Accelerator and external finance variables
were found to be important.

The analysis by Seamy and Rao (1975)36 of the flow of
funds of public limited companies had an equation for
aggregate inventory investment. RBI data for the period 1954-

68

70 had been used. The explanatory variables considered were
accelerator, flow of bank borrowings, an index of man-days
lost, capacity by the call rate. Accelerator, bank finance and
fixed investment were found to be significant.
The study by R.N. Agarwal (1982)37 estimated total
inventory investment equation for individual firms in
automobile manufacturing industry, which was divided into
two sectors─ car-sector and non car-sector. His study was
based on the data for 1959-60 through 1978-79. Official
Directory of Mumbai Stock Exchange had been the basic source
of data. Analysis of two sector revealed that sales and stock-
sales ratio were important explanatory variables. Cost of
capital and trend were important in only car sector while fixed
investment and flows of external funds were significant in non-
car sector. Existing stock of inventories was statistically
significant in both the sector but contrary to expectations, it
possessed negative coefficient. Several other variables as
dividends, capacity utilization and liquidity ratio were found
to be of no importance in explaining inventory investment
behaviour.
N.C. Gupta study (1987)38 examined the determinants of
total inventory investment in aluminum and non-ferrous semi
firms in private sector. The data had been taken from Stock
Exchange, Official Directory, Mumbai for 9 years 1966-67 to
1974-75. variables considered were current sales change, one-
lagged sales change, inventory stock at the beginning, gross
fixed investment during the year, flow of net debt (external

69

finance) and profits net of dividends and taxes but gross of
depreciation provision (retained earnings or internal finance).
The equation also provided for firm dummies and year
dummies. Analysis was based on pooling of time series of cross
section data. Demand factor and external finance turned out to
be significant determinants in aluminum. Both retained
earnings and external finance were important determinants in
case of non-ferrous semis. Competition for investment funds
between fixed and inventory investment was suggested both in
aluminum and non-ferrous semis.
Adesh Sharma (1994)39 applied accelerator model with
financial variables to determine the factors influencing
investment in inventories in pesticides industry in India. Data
had been taken form the Stock Exchange Official Directory,
Mumbai for the period 1978-1992 in respect of 18 firms in this
industry. The coefficients of the accelerator and financial
variables were found to be significant and positive. The
coefficient of inventory of inventory stock was significant and
negative.
The above brief review of studies in Indian context shows
that no attempts has been made to analyse working capital
management in Hotel industry in India. Secondly, there have
been many studies exploring the determinants of inventory
investment, no attempt has been made to study the factors
influencing investment in total working capital. On the basis of
previous studies, the present study aims at filling both these
gaps.

70

1. John Sagan, “Towards a Theory of Working Capital
Management”, The Journal of Finance, May 1955, pp. 121-
129.

2. Ernest W. Walker, “Towards A Theory of Working
Capital”, The Engineering Economist, Winter 1967, pp. 21-
35.

3. J. F. Weston and E.F. Brigham, Managerial Finance, Holt,
Rinehart and Winston, 4th edition, 1972.

4. James C. Vanhorne, “A Risk-Return Analysis of a firm’s
Working Capital Position”, The Engineering Economist,
Winter 1969, pp. 50-58.

5. Paul Welter, “How to Calculate Savings Possible
Through Reduction of Working Capital”, Financial
Economist, October 1970, pp. 50-58.

6. R. J. Lambrix and S.S. Singhvi, “Managing the Working
Capital Cycle”, Financial Executive, June 1979, pp.32-41.

7. J. M. Warren and J. P. Shelton, “A Simultaneous Equation
Approach to Financial Planning”, Journal of Finance,
Volume 26, December 1976, pp. 1123-1142.

8. Simulation involves developing a model of some real
phenomenon and then performing experiments in the
model evolved. In stimulation, a given system is copied
and the variables and constants associated such it are
manipulated in that artificial environment to examine the
behaviour of the system. The benefit of simulation is that
the results of taking a particular course of action can be
estimated prior to its implementation in the real world.

9. R.A. Cohen and J.J. Pringle, “Steps Towards as
Integration of Corporate Financial Theory”, 1973 in K.V.
Smith, Readings on The Management of Working Capital,
West Publishing Company, U.S.A., 1980.

72

10. CAPM states that the required rate of return on a security
(investment) is equal to the riskless rate plus premium
for unsystematic risk of the security. Unsystematic risk,
which is specific to the company of the security, can be
eliminated by diversification in the portfolio. But
systematic risk, which is because of general market
fluctuations, cannot be eliminated by diversification.

11. Thomas E. Copeland and Nabil T. Khoury, “Analysis of
Credit Extension in a World with Uncertainty”, in K.V.
Smith, op.cit.

12. A detailed survey of literature in respect of inventory
investment is not undertaken here as it is available in R.
Eisner & R. Strotz, “Determinants of Business
Investment”, in Impacts of Monetary Policy, Commission on
Money and Credit, Prentice-Hall, 1963, M.C. Lovell,
“Determinants of Inventory Investment”, in Models of
Income Determination, NBER, Princeton University Press,
1964. Here, emphasis is on factors influencing inventory
investment, which have been considered in the literature.

13. Lloyd Metzler, “The Nature and Stability of Inventory
Cycles”, Review of Economics and Statistics, Vol.III, August
1941, pp. 113-129.

14. Richard M. Goodwin, “Secular and Cyclical Aspects of
the Multiplier and Accelerator”, in Income, Employment
and Public Polic:, Essays in Honour of Alvin H. Hanson,
Norton and Company, New York, 1948.

15. P.G. Darling and M.C. Lovell, “Factors Influencing
Investments in Inventories”, in the Brookings Quarterly
Econometric Model of the U.S., J.S. Dusenberry et al., eds.,,
Chicago, 1965.

16. Hilton, “Inventory Investment” in Applied Macro
Economics, ed. By David Heathfied, 1976.

73

17. F. Owen Irvine, Jr. “Retail Inventory Investment and the
Cost at Capital”, The American Review, September” 1981,
pp. 633-648.

18. Moses Abramovitz, Inventories and Business Cycles – With
Special References to Manufacturers’ Inventories, NBER,
New York, 1950.

19. Franco Modigliani, “Business Reasons for Holding
Inventories and Their Macro Economic Implications”,
Problems of Capital Formation, Studies in Income and Wealth,
Vol. 19, NBER, 1957, pp. 495-511.

20. Lloyd Metzler, op.cit.

21. Hilton, op.cit.

22. NCAER, Structureof Working Capital, New Delhi, 1966.

23. V. Appavadhanulu, “Working Capital and Choice of
Techniques”, Indian Economic Journal, July-Sept. 1971, Vol.
XIX, pp. 34-41.

24. S.K. Chakraborty, “Use of Operating Cycle Concept for
Better Management of Working Capital”, The Economic
and Political Weekly, August, 1973, Vol.8, pp. M69-M76.

25. S.K. Chakraborty, “Cash Working Capital Vs. Balance
Sheet Working Capital”, The Economic and Political Weekly,
March 1974, pp. MII-M22.

26. Ram Kumar Misra, Problems of Working Capital (With
Special Reference to Selected Public Understandings in
India), Somaiya Publications Private Limited, Mumbai,
1975.

27. N.K. Agrawal, Management of Working Capital, Sterling
Publication Pvt. Ltd., New Delhi, 1983

74

28. Kamta Prasad Singh, Anil Kumar Sinha and Subas
Chandra Singh, Management of Working Capital in India,
Janaki Prakashan, New Delhi, 1986.

29. Harbans Lal Verma, Management of Working Capital, Deep
and Deep Publication, New Delhi, 1989.

30. Vijaykumar and A. Venkatachalam, “Working Capital
Capital and Profitability – An Empirical Analysis”, The
Management Accountant, October 1995 p-748-750,
“Working Capital Managaement in Sugar Mills of Tamil
Nadu – A Cash Study”, Management and Labour Studies,
Vol. 20, No.4, October 1995, pp. 246-354.

31. K. Krishnamurty, “Private Investment Behaviour in
India: A Macro Time Series Study”, Arthaniti, January
1964.

32. V.K. Sastry, Dividends’, Investment and External Financing
Behaviour of the Corporate Sector in India, Unpublished
doctoral dissertation. University of Pennysylvania, 1966.

33. S. Krishnamurthy & D.U. Sastry, Inventories in Indian
Manufacturing, Institute of Economic Growth . . ., Books
Ltd., Mumbai, 1970; and Investment and Financing in
Corporate Sector in India, Tata McHill Publishing
Company, New Delhi, 1975.

34. Vinod Prakash, Manufacturers’ “Inventoires in a
Developing Economy”, Unpublished Ph.D. Tehsis, MIT,
Cambridge, 1970; and Industrialisation and Manufacturers’
Inventories in India, IBRD, May 1973 (mimeo).

35. P.V. George, “Inventory Behaviour and Efficacy of Credit
Control”, Anvesak, No.2, Vol.II, 1972, pp. 168-175.

36. Dalip S. Swamy and V,.G. Rao, “The Flow of Funds in
Indian Manufacturing Sector”, Sankhya Series C, Vol. 37,
1975.

75

37. R.N. Agarwal, Analysis of Profits, “Investment and
Financing Behaviour of Indian Automobile Manufacturing
Industry”, Ph.D. Thesis, Delhi University, 1982.

38. N.C. Gupta, Productivity, Investment and Import
Substitution in Indian Industries (A Case Study of Non-
Ferrous Metals), Anmol Publications, New Delhi, 1987.

39. Adesh Sharma, “Investment and Financing in Pesticides
Industry in India”, Indian Journal of Finance and
Research, Vol. No.2, July 1994, pp. 67-83.

Chapter-III

76

08 chapter2

More Related Content

What's hot (20)

Viewers also liked (9)

Similar to 08 chapter2 (20)

08 chapter2