Ramesh Jangili and Sharad Kumar*
This paper analyses the trends in corporate finance in India, and uses a panel data
model for empirically identifying the factors which influence corporate investment decisions,
during the period 2000-01 to 2008-09. The findings revealed that firm level factors such as
firm size, dividend payout ratio, effective cost of borrowing, cash flow ratio and growth in
value of production are significant in determining corporate investment decisions. At macro
level, capital market developments and real effective exchange rate are significant in
influencing corporate investment decisions, whereas, inflation and non-food credit growth
are not significant in predicting corporate investment decisions. The results of the study
generally support existing literature on the impact of macroeconomic variables and certain
firm level factors on corporate investment decisions. The main value of this paper is to
consider broad based approach to analysing the determinants of corporate investment
decisions from emerging market context.
JEL classification : G31, C23.
Keywords : Corporate investment, Panel regression.
Introduction
Corporate investment refers to the amount of capital spent on
increasing the total assets of a firm. New investment in a firm consists
of addition to its existing assets for the purpose of producing more
output. These investments could be financed either by internal sources
of funds, such as, accumulated profits in the form of various reserves,
depreciation provision, etc., or by external sources of funds, such as,
borrowed capital, fresh capital raised, etc. At micro level, private
corporate behaviour is characterized by three main decisions, namely, investment, financing and profit allocation. Firms have scarce
resources that must be allocated among competing uses. Hence firms
in the private corporate sector must decide the way in which they
should allocate resources and the manner in which it would be wise
for them to invest. The private corporate sector should provide the
framework for its constituent firms to make the above decisions
wisely. Accordingly, the investment decision of a firm is defined to
include not only those investments that create revenues and profit, but
also those that save money by reducing expenditure.
Investment decisions though mainly taken at the Board level,
these have been influenced by financial performance, financing pattern
and economic conditions prevailing in the country and also the global
developments to some extent. In the past few years there has been an
increasing interest in the role that firm specific factors play in corporate
investment decisions along with the economic conditions. This interest
stems from the effect that financial performance of the corporate
sector had on shaping the most recent economic cycle. Recent
theoretical developments have also shown that cash flows and the
structure of a firm’s balance sheet may have an important influence on
investment decisions.
The potential link between investment and financial performance
implies that some of the changes in the performance indicators of the
private corporate sector in the past decade could have altered the
dynamics of the investment cycle in India. Establishing a link between
cash flows, leverage and investment may also provide insights into
the way in which monetary policy and cyclical factors more generally
influence the corporate sector. If cash flows are an important
determinant of investment, changes in monetary policy (by changing
some interest rates) will influence investment of indebted firms
through a cash flow effect as well as through altering the rate at which
the returns to investment are discounted. If this is the case, the higher
leverage of the corporate sector implies, other things being equal, that
monetary policy may have a larger impact on investment than in the
past. Moreover, it implies that changes in monetary policy may not be
transmitted evenly across the corporate sector. The cash flows of
highly geared firms will be more sensitive to changes in interest rates
than cash flows of firms with lower leverage.
Ascertaining a link between investment and financial conditions
imply that changes in the structure of corporate balance sheets would
significantly alter the dynamics of the investment in India. Smaller
firms are generally considered to be more sensitive to changes in
financial conditions. External funding tends to be relatively more
expensive for them because providers of finance have less information
about their creditworthiness. Smaller firms also have limited access to
securities or equity markets and are thus more reliant on intermediated
funding as a source of external finance. Cash flows are a significant
source of funding for them. Economic shocks that alter cash flows or
change the lending behaviour of intermediaries are thus likely to have a
more significant influence on the investment decisions of smaller firms.
This paper intends to explore the linkage between financial
factors and investment in a sample of non-Government non-financial
Indian firms spanning the period 2000-01 to 2008-09. First, it will
attempt to see if these factors are important generally. Next, it will
consider whether the importance varies across firms depending on
their financial structure, size or dividend payout policies. The paper
finds evidence that financial factors do have a significant influence on
investment. Investment is positively related to cash flows and the
stock of financial assets and negatively related to leverage. Moreover,
it appears that investment of firms with higher leverage and smaller
firms are more sensitive to financial factors than that of other firms.
This implies that they could be more sensitive to economic conditions
and changes in monetary policy than other firms.
The specific aspects of behavior that are analysed in this study
are determinants of investment by firms in the private corporate sector
in India. Decisions regarding external finance, the role of demand,
financial factors and macro economic conditions are considered in the
analysis. The rest of the paper is organized as follows: In section 2,
the literature on investment behavior of the private corporate sector is
reviewed. Section 3 analyses trends in corporate finance, Section 4
deals with choice of the Model, Section 5 empirically analyses the
interest rate and its impact on investment and profits. Section 6 handles
description of data and construction of variables, Section 7 provides the empirical analysis and Section 8 draws the conclusions of the
entire analysis.
2. Literature Review
Modigliani and Miller (1958) assumed that firms’ financing and
real investment decisions are taken independent of each other.
Moreover, this theory says that the investment of a firm should be
based only on those factors that will increase the profitability, cash
flow or net worth of a firm and there is no relationship between
financial markets and corporate real investment decisions. However,
this proposition will be valid only if the perfect market assumptions
underlying the analysis are satisfied. Corporate finance theory suggests
that market imperfections such as underdeveloped financial system
may constrain firms’ ability to fund investments and will invariably
affect firms’ investment decisions. The theory indicates that the
development of financial markets and instruments result in a reduction
in transaction and information costs, influencing saving rates and
investment decisions.
Fazzari et al (1988) had argued that firms facing financing
constraints should exhibit high investment-to-cash flow sensitivities,
refl ecting the wedge between costs of external and internal funds
which is consistent with Myers and Majluf (1984). But Kaplan and
Zingales (1997) contradicted the findings of Fazzari et al (1988). They
rather suggested that corporate investment decisions of the least
financially constrained firms are the most sensitive to the availability
of cash flow (see also Cleary1999). Recently, Cleary et al (2007)
documented that, capital expenditure exhibits a U-shape with respect
to the availability of internal funds. In the Indian context, Rajakumar
(2005) verified empirically the relationship between corporate
financing and investment behaviour for the period 1988-89 to
1998-99. To understand the implications of financing practices on
investment behaviour, the firms were segregated according to their
mode of financing, equity and debt. It was found at the aggregate level
that the higher the debt, the greater the investment. They also found
that debt financing was better than equity financing.
Denizer et al (2000) have indicated that risk management and
information processing by banks might be particularly important in
reducing investment volatility. Acemoglu and Zilibotti (1997) noted
the role that diversifi cation plays in reducing risk when they linked
financial market development to volatility. They concluded that as
financial market development helps in wealth creation, diversifi cation
becomes possible, investment increases and investment risk and
volatility is reduced. Aghion et al (2000) confirmed that, volatility is
most likely to occur in open economies with intermediate levels of
financial development.
At the macro level, considerable research has focused on
investigating the relationship between macroeconomic development
and corporate investment decisions largely because of global financial
integration. Nucci and Pozzolo (2001) found significant relationship
between exchange rates and investment for Italian manufacturing
firms. Ferris and Makhija (1988) examined the effect of inflation on
the capital investment for the US firms and found that, given various
provisions of the US tax code, the effect of inflation on capital
investment over the period 1962-1981 has varied with the response
and circumstances of the firm. Adelegan and Ariyo (2008) investigated
the impact of capital market imperfections on corporate investment
behavior using panel data for Nigerian manufacturing firms from
1984 to 2000 and found that financial factors have a significant effect
on the investment behavior.
3. Trends in Corporate Finance
There are various sources from which firms can mobilize funds.
The relative share of each source in total sources of funds reveals the
importance attached to a particular source of funds and thus determines
the financing pattern. The structure of corporate financing has been
examined using Reserve Bank of India’s (RBI) study of finances of
public limited companies, which provides valuable information on
various sources of funds. It follows a broad classification of internal
(own) and external (other than own) sources. Internal sources comprise
use of paid-up capital, reserves and surplus, and provisions. And, external sources include fresh issue of capital, capital receipts,
borrowings, trade dues and other current liabilities and miscellaneous
non-current liabilities.
Using the broad classification of sources of funds into internal
and external, and comparing their constituents’ share in total sources
of funds is presented in Table 1. It may be seen from Table 1 that
internal sources of funds contributed on an average a little more than
one third of total sources of funds during 1980s and 1990s. Though,
firms relied more on internal source of finance during 2000-01 to
2004-05, their reliance on external finance has been increasing since
2005-06. During 2008-09, external sources contributed more than
two-thirds of total sources of funds.
Looking at the disaggregated data on various internal sources of
funds, it is seen that provisions constituted the major component of
internal funds till 2004-05 and reserves and surplus constituted the
major component thereafter. A further disaggregated analysis showed that bulk of provisions was contributed by depreciation provision
resulting from various fiscal incentives provided to improve investment
climate in the country. The decline in the share of provisions largely
accounted for the overall decline in internal sources from the year
2005-06. At the same time, reserves and surplus has sharply increased
its shares to 23.2 per cent of total funds from 10.3 per cent during
2002-03. This, however, could not arrest the declining importance of
internal sources of funds.
Table 1: Trends in Corporate Finance |
(Per cent) |
SOURCES OF FUNDS |
1980s |
1990s |
2000 |
2001 |
2002 |
2003 |
2004 |
2005 |
2006 |
2007 |
2008 |
2009 |
INTERNAL SOURCES |
33.1 |
35.6 |
40.3 |
59.6 |
65.3 |
64.9 |
53.5 |
55.5 |
42.6 |
35.9 |
35.5 |
31.6 |
A. Paid-up capital |
2.1 |
1.1 |
0.5 |
0.7 |
0.4 |
-1.7 |
0.4 |
0.8 |
3.7 |
0.8 |
0.4 |
0.1 |
B. Reserves and Surplus |
7.2 |
12.4 |
9.1 |
10.5 |
-18.8 |
10.3 |
20.0 |
26.6 |
23.2 |
24.8 |
23.1 |
21.3 |
C. Provisions |
23.7 |
22.2 |
30.7 |
48.4 |
83.8 |
56.3 |
33.1 |
28.1 |
15.7 |
10.3 |
12.1 |
10.2 |
EXTERNAL SOURCES |
66.9 |
64.4 |
59.7 |
40.4 |
34.7 |
35.1 |
46.5 |
44.5 |
57.4 |
64.1 |
64.5 |
68.4 |
D. Paid-up capital |
5.5 |
16.0 |
21.9 |
10.3 |
10.5 |
6.2 |
8.6 |
10.5 |
15.1 |
11.8 |
17.7 |
14.1 |
E. Capital receipts |
0.3 |
0.3 |
0.5 |
0.7 |
1.1 |
0.4 |
0.7 |
0.3 |
0.2 |
0.1 |
0.1 |
0.2 |
F. Borrowings |
37.4 |
31.7 |
20.1 |
10.7 |
8.8 |
1.4 |
17.0 |
15.3 |
25.5 |
32.4 |
27.6 |
36.3 |
(a) From banks |
12.6 |
9.6 |
8.4 |
6.9 |
21.5 |
27.7 |
21.4 |
15.2 |
24.3 |
22.4 |
20.7 |
23.4 |
G. Trade dues and other current liabilities |
23.7 |
16.4 |
17.3 |
18.7 |
14.3 |
27.1 |
20.3 |
18.5 |
16.5 |
19.9 |
19.1 |
17.7 |
H. Miscellaneous non-current liabilities |
0.1 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
The rise in the share of external funds in total funds is largely due
to borrowings in the 1980s, and borrowings along with fresh issues of
capital in the 1990s. Borrowing is, however, the major component of
external sources in the 1980s and 1990s. During early 2000s, the
reliance on borrowings showed drastically declining trend by
registering its share in total funds to 1.4 per cent in 2003, however, the
same started increasing significantly thereafter. Borrowings contributed
more than one-third of total sources of funds during 2008-09.
While the above analysis has shown a shift in the pattern of
financing from external to internal and then to external, what ultimately
matters to a firm is the proportion of owned (equity) to borrowed
capital (debt) or the capital structure.
4. Choice of the Model
A review of literature related to theories of investment highlights
four main strands of thoughts, namely, accelerator theory of investment
behaviour, neoclassical theory of investment behaviour, Q-theory of
investment behaviour and liquidity theory of investment behaviour.
They have been briefly discussed below.
The accelerator theory states that firms have a desired level of
capital stock and undertake investment to achieve this level. This
theory maintains that firms adjust their capital stock in response to
demand so that investment has a direct relationship with output. In
essence, investment is proportional to output so that the rate of
expected output becomes the prime determinant of investment
behaviour in this model.
The basic idea of the neoclassical theory of investment behavior
relates to the cost function, which tells how cost affects the stock of
capital and how the rental cost of capital affects total investment in
the private corporate sector.
According to the Q-theory of investment behavior, the stock
market plays a significant role in determining the behavior of private
corporate sector. The market valuation is the going market price for
exchanging existing assets, whereas the book value is the replacement
cost or reproduction cost indicating prices in the market for newly
produced assets. The excess of market valuation over replacement
cost encourages investment, that is, investment will be undertaken if
market value is greater than book value. This model assumes the
existence of a perfect capital market.
The liquidity theory of investment behaviour on the other hand
is based on the assumption that there are imperfections in the capital
market arising mainly due to asymmetric information between firms
and suppliers of funds. This creates a wedge between cost of external
and internal financing so that external financing becomes a constraint
on the firms’ investment. To smoothen this, the firms take recourse to
internal liquidity. Under this, the firms limit their investment activities
to availability of internal funds. The outcome as predicted by this
model is that, under capital market imperfection, the firms’ investment
behaviour becomes sensitive to internal liquidity [Fazzari et al (1988)].
5. Interest rate and its impact on Investment and profits
The weighted average lending rate of scheduled commercial
banks (published in the Statistical Tables Relating to Banks in India)
can be considered as the cost of borrowing from banks, the most
prevalent mode of raising debt (referred to as bank lending rate in
future). Another measure considered was the effective borrowing cost
of select companies from all sources (measured as interest payments
as a percentage of average outstanding borrowing during the year).
These rates since 2001-02 are presented in Table 2.
Table 2: Effective Borrowing Cost vis-à-vis Bank Lending Rate |
(Per cent) |
|
2001-02 |
2002-03 |
2003-04 |
2004-05 |
2005-06 |
2006-07 |
2007-08 |
2008-09 |
Weighted Average
Lending Rate of
Scheduled Commercial
Banks* |
13.7 |
13.3 |
13.2 |
12.6 |
12.0 |
11.9 |
12.3 |
11.1 |
Effective Borrowing cost of corporates @ |
All companies |
11.1 |
9.6 |
8.2 |
7.6 |
6.7 |
6.5 |
6.1 |
6.8 |
PUC 50 crore and above |
10.4 |
8.8 |
7.8 |
7.4 |
6.3 |
6.2 |
5.3 |
6.0 |
PUC 10 crore and above but less than 50 crore |
12.4 |
11.0 |
9.0 |
7.6 |
7.2 |
7.0 |
7.6 |
8.3 |
PUC less than 10 crore |
13.9 |
12.0 |
10.2 |
8.8 |
8.2 |
8.0 |
8.4 |
9.9 |
Source: * Statistical Tables Relating to Banks in India.
@ Based on the data of 897 common companies from 2001-02 to 2008-09 |
The effective borrowing cost of select companies declined
continuously from 11.1 per cent in 2001-02 to 6.1 per cent in 2007-08
before rising marginally to 6.8 per cent in 2008-09. The bank lending
rate remained always higher than the effective borrowing cost, but still
declined continuously over the period though at a moderate pace. This
may be an indication that corporates have got access to funds at cheaper
rates from non-bank sources within India and also from abroad during
the above period. The analysis is based on both bank lending rate and
effective borrowing cost. It may also be observed that effective borrowing
cost of small companies, though lower than the bank lending rate, is
significantly higher than those of the medium and large companies.
5.1 Interest Rate and Investment
Gross fixed capital formation of select companies and nominal
interest rates are presented in Chart 1(also in Table 3). It may be
observed from the chart that both bank lending rate and effective
borrowing cost are inversely related to the gross fixed capital formation
of 897 common companies. The correlation coefficients between bank
lending rate and gross fixed capital formation (-0.80) and that between
effective borrowing cost and gross fixed capital formation (-0.77) also
suggest that there is a strong negative relationship between interest
rate and the investment. Thus, it may be concluded that the lower interest rate regime in the past decade has helped in higher fixed
capital formation in the corporate sector.
5.2 Interest Rate and profits
The effect of lower interest rates on profitability of the selected
common companies is presented in Table 3 and Chart 2. It may be observed that two most commonly used measures of profitability viz,
gross profit margin (measured as ratio of gross profit to sales) and
return on assets (measured as gross profit to total net assets) are
negatively related with the bank lending rate as well as effective
borrowing cost. The correlation coefficient between bank lending rate
and profit after tax (-0.84) and between effective borrowing cost and
profit after tax (-0.89) also suggest that there is a strong negative
relationhip between interest rate and the profits. It may be seen that
the ratio of interest expenses to total expenditure have steadily
declined over the years from 5.8 per cent in 2001-02 to 2.7 per cent in
2008-09. Relevant data for various size classes according to Paid-up
capital (PUC) are also given in the Annex.
Table 3: Nominal Interest Rate and Select Financial Indicators of the Common Companies |
(Per cent) |
Year |
Bank Lending Rate |
Based on the data of 897 common companies |
Effective Borrowing cost |
Return on Equity* |
Gross profit to total net assets |
Gross profit to sales |
Interest expenses to total expendi- ture |
Profits After Tax (` Crore) |
Gross fixed capital formation (` Crore) |
2001-02 |
13.7 |
11.1 |
6.9 |
8.3 |
11.3 |
5.8 |
8147 |
14518 |
2002-03 |
13.3 |
9.6 |
10.5 |
8.9 |
11.9 |
4.6 |
13122 |
13097 |
2003-04 |
13.2 |
8.2 |
14.0 |
10.0 |
12.8 |
3.7 |
19655 |
16796 |
2004-05 |
12.6 |
7.6 |
17.8 |
11.5 |
13.6 |
2.9 |
30212 |
32940 |
2005-06 |
12.0 |
6.7 |
17.4 |
11.1 |
13.4 |
2.5 |
37338 |
40614 |
2006-07 |
11.9 |
6.5 |
18.4 |
12.2 |
14.7 |
2.4 |
51339 |
50827 |
2007-08 |
12.3 |
6.1 |
19.3 |
12.4 |
16.0 |
2.3 |
67508 |
92113 |
2008-09 |
11.1 |
6.8 |
13.4 |
9.6 |
12.9 |
2.7 |
56396 |
85203 |
* Profi ts after tax as a percentage of net worth. |
6. Data and Variables Construction
6.1 Data
The data set used in this study is firm-level data, for the period
2000-01 to 2008-09, from Company Finances Studies of the Reserve
Bank of India (RBI). The RBI collects annual data from audited
annual accounts of private sector companies operating in India. From
the standpoint of coverage, the RBI collects data on nearly 3000 companies, representing approximately 30 per cent in terms of the
population paid-up capital. The sample under study is a balanced
panel on 897 firms for which a continuous data set exists over the
sample period. In aggregate, we have 8073 observations. Firms which
operate in the financial sector are not included in this analysis since
their balance sheets have a different structure from those of the nonfi
nancial companies. Further, the analysis is restricted to public limited
companies only, as private limited companies are not required to
disclose profit and loss account to the public.
6.2 Variables construction
In line with the existing empirical research, the level of
investment is considered as endogenous variable. Investment is
normalized by the level of gross fixed assets to account for differences
across firms. Therefore it is measured as the ratio of gross fixed
investment of a firm during the year to the gross fixed assets at the
beginning of the year.
Firm size is measured by the natural logarithm of total assets.
Total assets were divided by 1,00,000 before the logarithm
transformation. A priori, we expect that larger firms should have better
access to external capital sources and hence have flexibility in timing
their investments resulting into positive relationship with financial
performance.
Dividend payout ratio, which is measured as the dividends paid
as a percentage of profits after tax, can be used as the proxy for the
severity of external financing constraints (Fazzari et al., 1998). The
underlying argument is that the dividend payout ratio is a good
indicator of whether a firm has surplus internal funds. Thus, firms
with low dividend payouts are identifi ed as being financially
constrained. Previous empirical research findings suggest that
investment is higher in financially constrained firms, whereas,
financially unconstrained firms display a lower investment.
Growth in Value of Production (VOP), which is measured as the
percentage change in VOP over the previous year, is considered as a
measure of accelerator. According to the accelerator theory of
investment behavior, change in VOP is a demand side factor that plays
an important role in determining private corporate investment. The
theory was introduced essentially to explain variations in investment
over the business cycle. The principle of acceleration states that if
demand for consumer goods increases, there will be an increase in the
demand for production, and the demand for capital and machinery and
hence a positive relationship is expected.
Cost of borrowing is measured as the ratio of interest payments
to total outstanding borrowings of the firm. The investments can be
funded through either equity or debt. Depending on the market
condition, especially that relating to interest rate, firms may undertake
new investments when the interest rates are lower. On the other hand,
firms may defer their investment proposals when the interest rates are
higher.
Modigliani and Miller (1958) argued that the investment of a
firm should be based only on those factors that will increase the
profitability, cash flow or net worth of a firm. This proposition will be
valid only if the perfect market assumptions underlying their analysis
are satisfied. One of the main issues in corporate finance is whether
financial leverage has any effects on investment decisions. This
proposition will be tested empirically, by considering leverage ratio
as one of the explanatory variable. Debt to asset ratio has been used
to test the Modigliani and Miller proposition. Higher levels of debt
result in an increased probability of financial distress and the demand
for higher returns by potential suppliers of funds. Hence a negative
relationship is expected, if exists.
Cash flow measured as the total earnings before extraordinary
items, interest and depreciation. Cash flow of firms is an important
determinant for growth opportunities. If firms have enough cash
inflows it can be utilized in investment activities. It also provides evidence that investment is related to the availability of internal
funds. Cash flow may be termed as the amount of money in excess of
that needed to finance all positive net present value projects. The
purpose of allocating money to projects is to generate a cash flow in
the future, significantly greater than the amount invested. That is the
objective of investment to create shareholders wealth. In order to
eliminate any size effect, the measure was normalized by the book
value of assets.
Besides the endogenous variables discussed above, a number of
exogenous variables (macro economic factors) also influence the
investment decisions of the firms. Thus, the macro-economic variables
like Real effective exchange rate (REER), inflation, Non-food credit
growth and Capital market developments have also been taken into
consideration in the model. Monetary policy transmission could take
place either by interest rate channel or by credit channel. To measure
the effect by interest rate channel, effective cost of borrowing is used
in the model, and to measure the effect by credit channel non-food
credit growth rate is considered.
6.3 Trends and Basic statistical properties
The trends of these variables at aggregate level are presented in
Table 4. It may be observed that the investment ratio is increased from
7.2 per cent in 2001-02 to 22.7 per cent in 2007-08 and then moderated to 17.1 per cent in 2008-09. Firm size steadily increased over time
from 1.1 in 2001-02 to 2.2 in 2008-09. Dividend payout ratio, though
higher in 2001-02, was steadily decreased and stood at 24.8 per cent
in 2008-09. Debt to asset ratio observed to be decreasing over the
study period. Effective cost of borrowings was declined to 5.5 per
cent in 2007-08 from 11.0 per cent in 2001-02 before it inches up to
6.0 per cent in 2008-09.
Table 4: Trends at the aggregate level |
(Per cent) |
|
2001-02 |
2002-03 |
2003-04 |
2004-05 |
2005-06 |
2006-07 |
2007-08 |
2008-09 |
Investment ratio |
7.2 |
5.9 |
7.1 |
13.0 |
14.1 |
14.4 |
22.7 |
17.1 |
Firm size |
1.1 |
1.1 |
1.3 |
1.4 |
1.6 |
1.8 |
2.0 |
2.2 |
Dividend payout ratio |
55.0 |
38.4 |
37.1 |
27.0 |
30.2 |
23.9 |
23.7 |
24.8 |
Debt to asset ratio |
25.6 |
22.5 |
21.4 |
19.3 |
18.3 |
18.7 |
17.1 |
16.3 |
Effective cost of borrowings |
11.0 |
9.5 |
8.0 |
7.3 |
6.2 |
5.8 |
5.5 |
6.0 |
Growth in value of production |
-4.2 |
11.0 |
13.9 |
26.9 |
18.4 |
25.9 |
17.0 |
16.1 |
Cash flow ratio |
4.2 |
4.8 |
6.2 |
7.7 |
7.6 |
9.0 |
9.6 |
6.9 |
The basic statistical properties of the variables used in the model
are presented in Table 5. The mean value of the investment ratio is
increased from 7.1 per cent in 2001-02 to 17.5 per cent in 2006-07 and
then moderated to 12.3 per cent in 2008-09. Average firm size steadily
increased over time from 1.94 in 2001-02 to 2.67 in 2008-09. Average
debt to asset ratio, though increased steeply up to 25.3 per cent in
2002-03, it was stabilized around 15 per cent in recent years. Cash
flow ratio steadily increased from 2.16 per cent in 2001-02 to 6.23 per
cent in 2007-08 before it droped to 4.75 per cent in 2008-09.
Table 5: Statistical Properties of the Variables |
|
2001-02 |
2002-03 |
2003-04 |
2004-05 |
2005-06 |
2006-07 |
2007-08 |
2008-09 |
Investment ratio |
7.10 |
7.41 |
8.69 |
10.99 |
14.21 |
17.47 |
14.47 |
12.27 |
|
(0.20) |
(0.35) |
(0.21) |
(0.30) |
(0.37) |
(0.52) |
(0.26) |
(0.27) |
Firm size |
1.94 |
1.97 |
2.04 |
2.14 |
2.28 |
2.45 |
2.60 |
2.67 |
|
(1.64) |
(1.65) |
(1.67) |
(1.71) |
(1.75) |
(1.80) |
(1.86) |
(1.90) |
Dividend payout ratio |
19.14 |
18.04 |
20.60 |
16.71 |
16.22 |
17.28 |
13.78 |
68.54 |
|
(2.09) |
(0.32) |
(0.46) |
(1.30) |
(1.13) |
(0.58) |
(5.11) |
(15.26) |
Debt to asset ratio |
19.01 |
25.26 |
16.10 |
15.93 |
15.81 |
15.82 |
14.49 |
14.63 |
|
(0.43) |
(2.59) |
(0.21) |
(0.20) |
(0.19) |
(0.21) |
(0.17) |
(0.17) |
Effective cost of borrowings |
29.95 |
24.20 |
165.34 |
19.40 |
12.73 |
17.39 |
16.47 |
62.07 |
|
(2.87) |
(2.08) |
(43.66) |
(1.67) |
(0.57) |
(1.73) |
(1.40) |
(10.21) |
Growth in value of production |
5.55 |
11.52 |
23.87 |
25.32 |
19.90 |
28.39 |
21.68 |
18.73 |
|
(0.41) |
(0.35) |
(1.68) |
(0.56) |
(0.85) |
(0.84) |
(0.59) |
(1.56) |
Cash flow ratio |
2.16 |
2.74 |
3.30 |
4.32 |
5.60 |
6.20 |
6.23 |
4.75 |
|
(0.10) |
(0.09) |
(0.13) |
(0.14) |
(0.12) |
(0.14) |
(0.14) |
(0.16) |
Note: Mean values are presented in the table along with standard deviation in parenthesis. |
7. Empirical Analysis
7.1 Model
The literature review suggests that various firm specific factors
and macro-economic conditions in the country may influence the
corporate investment decisions. A linear relationship between
corporate investment decisions and its determinants is assumed.
Therefore, a model of the following form is estimated:
7.2 Estimation
Panel-data models are usually estimated using either fixed or
random effects techniques. These two techniques have been developed
to handle the systematic tendency of individual specific components
to be higher for some units than for others - the random effects
estimator is used if the individual specific component is assumed to be
random with respect to the explanatory variables. The fixed effects
estimator is used if the individual specific component is not independent
with respect to the explanatory variables.
Hausman (1978) provides a test for discriminating between the
fixed effects and random effects estimators. The test is based on
comparing the difference between the two estimates of the coefficient
vectors, where the random effects estimator is efficient and consistent under the null hypothesis and inconsistent under the alternative
hypothesis, and the fixed effects estimator is consistent under both the
null and the alternative hypothesis. If the null hypothesis is true, the
difference between the estimators should be close to zero. The
calculation of the test statistic (distributed χ2) requires the computation
of the covariance matrix of b1 - b2. In the limit the covariance matrix
simplifies to Var(b1) - Var(b2), where b1 is the fixed effects estimator.
The computed Hausman statistic in our model is 11.58 indicated that
the null hypothesis could not be rejected at the 5 per cent level of
signifi cance. Hence, random effects model has been used in our
empirical analysis.
7.3 Empirical results
Table 6 reports the regression results displaying the marginal
contribution (coefficients) of the independent variable to investment
decisions. The strengths of the relationship between the dependent
and explanatory variables are also reported in the form P-values. It
may be observed that investment decisions are positively associated
with firm size, leverage ratio, cash flow ratio and growth in value of
production, whereas, negatively associated with dividend payout ratio
and effective cost of borrowings, as expected.
v
Table 6: Results of the panel regression model |
|
Coefficient |
Robust Standard Error |
P-Value |
Firm size |
0.028109 |
0.002650 |
0.000 |
Dividend payout ratio |
-0.000280 |
0.000058 |
0.000 |
Debt to asset ratio |
0.002518 |
0.002338 |
0.281 |
Effective cost of borrowings |
-0.000112 |
0.000035 |
0.001 |
Cash flow ratio |
0.211257 |
0.052787 |
0.000 |
Growth in value of production |
0.018448 |
0.008405 |
0.028 |
Real effective exchange rate |
-0.004002 |
0.001923 |
0.037 |
Inflation |
-0.452320 |
0.433567 |
0.297 |
Non-food credit growth |
0.087583 |
0.059282 |
0.140 |
Capital market development |
0.100268 |
0.022185 |
0.000 |
Constant |
0.376435 |
0.192029 |
0.050 |
Size variable positively influences current investment and it is
statistically significant. The results portray that, the larger the firm,
the more investment it will make in fixed assets. Statistically significant
relationship could not be found between financial leverage (measured
by debt to asset ratio) and investment decisions. Negative relationship
has been observed between dividend payout ratio and investment
decisions and is statistically significant. Effective cost of borrowing is
negatively related with investment decisions and is statistically
significant. Cash flow ratio has significant positive relationship with
investment decisions.
Real Effective Exchange Rate (REER) negatively influences the
corporate investment decisions and is statistically significant at 5 per
cent level. There is a negative and statistically insignificant relationship
between inflation and corporate investment decisions. Non-food credit
growth used as proxy for monetary policy action, though positively
influences the corporate investment decision; it is statistically
significant only at 15 per cent level. Capital market development
positively influence corporate investment decisions and is statistically
significant at 1 per cent level.
It is empirically evident that firm size, dividend payout ratio,
effective cost of borrowing, cash flow ratio and growth in value of
production are the major determinants of corporate investment
decisions at firm level during the period 2000-01 to 2008-09. Capital
market development and real effective exchange rate also can influence
the firm’s investment decisions.
8. Summary and Conclusions
In this study the determinants of private corporate investment in
India have been studied using a panel regression model. Firm level
data covering the period from 2000-01 to 2008-09 of public limited
companies, which contribute to the major proportion of corporate
investment in India have been used. Corporate investment is the
amount of capital spent on increasing its assets. Therefore it could be
financed by either internal sources of funds or external sources of funds. Higher level of investment is desirable for nation’s economic
growth as fresh investment could produce additional output and is
able to generate employment. Corporate investment decisions,
generally taken at the Board level, however, these were influenced by
the firm specific factors, such as financial position of the firm and
macro economic conditions of the economy.
It was evident from the data on sources of finance that Indian
firms depended more on the external finance during 1980s and 1990s.
Though Indian firms depended more on internal finance in the early
2000s but external finance was dominant since 2006 and is accounted
for 68 per cent in 2009. This increased dependence on external finance
was evidenced in the form borrowings raised by the firms. On the
other hand, internal accruals and provisions were declining in the
internal sources of finance.
The effective borrowing cost of the select companies declined
continuously from 11.1 per cent in early 2000s to 6.8 per cent in 2008-
09. Further, it was observed that bank lending rate is always higher
than the effective borrowing cost, which indicates that corporates
have got access to cheaper funds from non-bank sources within India
and abroad. The analysis also revealed that smaller companies’
effective borrowing cost is higher than that of the larger companies,
however, it is lower than the bank lending rate. Corporate investment
is negatively related with the lending rate of banks.
Model used has two alternative specifications depending upon
their error structure, fixed effects model or random effects model. The
Hausman specification test is the classical test to know whether the
fixed or random effects model should be used. The results of the test
suggested that random effects model is consistent and efficient for our
data, hence the random effects model has been used.
The empirical results of the panel regression model showed that
firm size, debt to asset ratio, cash flow ratio and growth in value of
production are positively associated, whereas, dividend payout ratio
and effective cost of borrowing are negatively associated with investment of the firm. Real effective exchange rate (REER) and
inflation at the macro level are negatively related with the corporate
investment and non food credit growth and capital market developments
are positively related. Further, it is evident from the empirical results
that appreciation in the real effective exchange rate will pull down the
investment activity of the corporates, whereas, capital market
developments will boost the corporate investment. Firm specific
factors such as firm size, dividend payout ratio, effective cost of
borrowing, cash flow ratio and growth in value of production appear
to be the major determinants of corporate investment decisions during
the period 2000-01 to 2008-09.
References
Acemoglu, D. and F. Zilibotti (1997), “Was Prometheus Unbound by
Chance? Risk, Diversifi cation, and Growth”, Journal of Political Economy,
105, pp.709-775.
Adelegan, O.A. and Ariyo, A. (2008), “Capital Market Imperfections and
Corporate Investment Behavior: A Switching Regression Approach Using
Panel Data for Nigerian Manufacturing Firms”, Journal of Money, Investment
and Banking, Vol. 2, pp.16-38.
Aghion, P., M. Angeletos, A. Banerjee, and K. Manova (2000), “Volatility
and Growth: The Role of Financial Development”, Harvard University
(Department of Economics),
Cleary, S. (1999), “The Relationship between Firm Investment and Financial
Status”, The Journal of Finance, Vol. 54, No. 2 (Apr), pp.673-692.
Cleary, S., Paul, P. and Michael, R. (2007), “The U-Shape Investment Curve:
Theory and Evidence”, Journal of Financial and Quantitative Analysis,
42(1), pp.1-40.
Denizer, C., Iyigun, M. F. and Owen, A. L. (2000), “Finance and
macroeconomic volatility”, Policy Research Working Paper Series, 2487,
The World Bank.
Fazzari, S., Hubbard, R.G. and Petersen, B. (1988), “Financing Constraints
and Corporate Investment”, Brookings Papers on Economic Activity, pp.141-
195.
Ferris. S and Makhija. A (1998), “Corporate Capital Investment Under
inflation”, Journal of Business Research, Vol. 16, No. 3, May, pp. 251-259.
Hausman, J A (1978). “specification tests in econometrics”, Econometrica,
Vol. 46, No. 6, November, pp.1251-1271.
Kaplan, S. and Zingales, L. (1997), “Do Financing Constraints Explain Why
Investment is Correlated With Cash Flow?”, Quarterly Journal of Economics,
112, pp.168-216.
Modigliani, F. and Miller, M. (1958), “The Cost of Capital, Corporate
Finance, and the Theory of Investment”, American Economic Review, 48,
pp.261-297.
Myers, S. and Majluf, N. (1984), “Corporate Financing and Investment
Decisions when Firms Have Information Investors Do Not Have”, Journal
of Financial Economics, 13, pp.187-221.
Nucci, F. and Pozzolo, A.F. (2001), “Investment and the exchange rate: an
analysis with firm-level panel data”, European Economic Review, 45,
pp.259-283.
Rajakumar, J Dennis (2005), “Corporate Financing and Investment
Behaviour in India”, Economic and Political Weekly, Vol. 40, No. 38,
September 17-23, pp.4159-4165.
Reserve Bank of India (2009), “Statistical Tables Relating to Banks of India,
2008-09”, November.
Reserve Bank of India (2010), “Finances of Public Limited Companies,
2008-09”, RBI Bulletin, August and earlier articles on the subject.
Annex
(Per cent) |
|
Effective Borrowing cost |
Return on Equity |
Gross profit to total net assets |
Gross profit to sales |
Interest expenses to total expenditure |
Profits After Tax (` Crore) |
Gross fixed capital formation (` Crore) |
PUC less than 10 crore (459 companies) |
2001-02 |
13.9 |
2.6 |
6.1 |
6.3 |
5.0 |
202 |
724 |
2002-03 |
12.0 |
5.0 |
6.8 |
6.9 |
4.3 |
393 |
859 |
2003-04 |
10.2 |
12.5 |
8.3 |
8.0 |
3.5 |
1079 |
1221 |
2004-05 |
8.8 |
17.4 |
9.7 |
8.9 |
2.8 |
1759 |
1620 |
2005-06 |
8.2 |
17.7 |
10.7 |
9.7 |
2.5 |
2131 |
2266 |
2006-07 |
8.0 |
18.2 |
11.0 |
10.4 |
2.3 |
2839 |
3001 |
2007-08 |
8.4 |
19.6 |
10.7 |
10.7 |
2.5 |
3678 |
3900 |
2008-09 |
9.9 |
12.2 |
10.1 |
10.1 |
3.2 |
2570 |
3163 |
PUC 10 crore and above but less than 50 crore (332 companies) |
2001-02 |
12.4 |
5.7 |
7.7 |
9.1 |
5.3 |
1560 |
2575 |
2002-03 |
11.0 |
8.5 |
8.5 |
9.8 |
4.4 |
2438 |
2342 |
2003-04 |
9.0 |
12.8 |
9.4 |
10.1 |
3.2 |
4092 |
3710 |
2004-05 |
7.6 |
15.2 |
10.5 |
10.6 |
2.5 |
5555 |
5901 |
2005-06 |
7.2 |
17.2 |
10.9 |
12.0 |
2.4 |
7828 |
10920 |
2006-07 |
7.0 |
18.9 |
12.0 |
13.2 |
2.5 |
10845 |
16942 |
2007-08 |
7.6 |
17.3 |
11.4 |
13.6 |
2.8 |
12943 |
19444 |
2008-09 |
8.3 |
12.6 |
9.7 |
11.6 |
3.3 |
10442 |
19345 |
PUC 50 crore and above (106 companies) |
2001-02 |
10.4 |
7.7 |
8.7 |
13.1 |
6.2 |
6385 |
11219 |
2002-03 |
8.8 |
11.7 |
9.3 |
13.5 |
4.8 |
10291 |
9896 |
2003-04 |
7.8 |
14.6 |
10.4 |
14.7 |
4.0 |
14484 |
11865 |
2004-05 |
7.4 |
18.6 |
12.0 |
15.4 |
3.1 |
22898 |
25418 |
2005-06 |
6.3 |
17.4 |
11.2 |
14.5 |
2.5 |
27378 |
27428 |
2006-07 |
6.2 |
18.3 |
12.4 |
15.9 |
2.3 |
37655 |
30884 |
2007-08 |
5.3 |
19.8 |
12.9 |
17.6 |
2.1 |
50887 |
68769 |
2008-09 |
6.0 |
13.7 |
9.5 |
13.7 |
2.5 |
43383 |
62695 |
* The authors are presently working as Research Officer and Adviser, respectively,
in the Department of Statistics and Information Management, Reserve Bank of
India, Mumbai. The views, however, expressed in this paper are strictly personal.
Authors are grateful to Shri Deepak Mohanty, Executive Director, Reserve
Bank of India, Mumbai for his encouragement and valuable guidance to undertake
the study.
Authors are thankful to Dr. Goutam Chatterjee, Adviser, Department of Statistics
and Information Management, Reserve Bank of India for his useful suggestions. |