Financial Reforms, Financial Openness, and Corporate Borrowing: International Evidence

We study how credit market deregulation and increased international financial openness have changed corporate borrowing. The evidence comes from a large panel of publicly traded firms in 38 countries over the period 1994-2002. Reforms are measured with a comprehensive new index that tracks six separate dimensions. We find that these transformations have increased leverage and lengthened debt maturity in advanced economies, as expected, suggesting that in these countries corporate credit markets have become deeper. In emerging economies, the picture is more mixed: more international openness has led to more leverage but shorter debt maturity. Financial sector reforms have reduced leverage, while their effects on debt maturity have differed depending on the type of reform. Importantly, the differential impact of openness and reforms on the leverage and debt maturity of firms in advanced and emerging market countries also emerges when we distinguish between firms that are potentially financially constrained and firms that are not. These findings suggest that in emerging economies fundamental institutional weaknesses make it difficult to secure the benefits of international financial openness and domestic financial reforms.

Abstract

We study how credit market deregulation and increased international financial openness have changed corporate borrowing. The evidence comes from a large panel of publicly traded firms in 38 countries over the period 1994-2002. Reforms are measured with a comprehensive new index that tracks six separate dimensions. We find that these transformations have increased leverage and lengthened debt maturity in advanced economies, as expected, suggesting that in these countries corporate credit markets have become deeper. In emerging economies, the picture is more mixed: more international openness has led to more leverage but shorter debt maturity. Financial sector reforms have reduced leverage, while their effects on debt maturity have differed depending on the type of reform. Importantly, the differential impact of openness and reforms on the leverage and debt maturity of firms in advanced and emerging market countries also emerges when we distinguish between firms that are potentially financially constrained and firms that are not. These findings suggest that in emerging economies fundamental institutional weaknesses make it difficult to secure the benefits of international financial openness and domestic financial reforms.

I. Introduction

In the past decade, the financial sector has undergone large transformations in most countries around the world. First, deregulation has increased the scope for financial markets in general and credit markets in particular to operate within each country. Second, increased international financial openness — in part the result of the dismantling of capital controls and in part the effect of technological innovations — has expanded firm financing options and increased competition among intermediaries. Have these transformation changed corporate borrowing? In this paper, we address this question using evidence from a large panel of non-financial firms in 38 countries during the period 1994–2002. More specifically, we study how corporate leverage and debt maturity change as domestic credit markets are reformed and access to international markets improves.

To measure domestic financial reforms aimed at improving the functioning of domestic credit markets we use a new index constructed by Abiad, Detragiache and Tressel (2007), which tracks policy changes in several areas. This index permits us to disentangle the effects of specific reforms, such as those aimed at liberalizing interest rates, eliminating credit controls, improving bank competition, and others. To gauge progress in international financial openness we adopt a measure of de facto reliance on international credit markets, the stock of private sector debt liabilities to foreign residents (scaled by GDP). Kose, and others (2006) argues that de facto measures better capture financial openness than de jure measure of capital account liberalization.

In our empirical tests, leverage and debt maturity are regressed on reform indicators, financial openness, a set of firm-level characteristics suggested by corporate finance theory, macroeconomic control variables, and industry and time fixed effects.2 Thus, we identify the effects of interest only based on within country, time-series variation, while cross-country differences in unobservable, time-invariant country characteristics do not bias the coefficients of our reform variables. Although our focus is on financial reforms and financial openness, a by-product of our analysis is detailed international evidence on the overall determinants of firms’ leverage and debt maturity which, as stressed by Myers (2004), may be useful in further refining theories of leverage and debt maturity choices.

With regard to international financial openness, we obtain two main results. First, more openness is associated with increased leverage. This indicates that the increase in competition among fund providers fostered by openness results in an increased availability of credit at a lower cost, as expected. Second, the impact of financial openness on debt maturity is different for firms in advanced and emerging countries: more openness is associated with a lengthening of debt maturity in advanced countries, but with a shortening of debt maturity in emerging economies. This result suggests that firms operating in countries where the financial infrastructure is less developed, and where short-term debt may be used more intensively as a disciplining device in the sense of Diamond (2004), may be able to access international credit markets primarily at short maturities. It is also possible that increased competition from foreign financial intermediaries and markets may lead domestic lenders to shorten debt maturity as existing relationship lending may be broken as arms-length finance becomes more prominent.

Turning to domestic financial sector reforms, we find that these reforms resulted in higher leverage and longer debt maturity in advanced countries, but in lower leverage in emerging economies. In addition, in emerging economies different types of domestic reforms affect debt maturity differently: bank privatization is associated with a decline in corporate debt maturity, policies to develop securities markets (including government bond markets) increase debt maturity, while other reforms have no significant effect.

The differential impact of openness and liberalization on the leverage and debt maturity of firms in advanced and emerging market countries also emerges when we distinguish between firms that are potentially financially constrained and firms that are not. The positive effect of openness and reforms on leverage is stronger for constrained firms in advanced countries, consistent with the hypothesis that reforms lead to financial deepening. In emerging economies, on the other hand, it is the unconstrained firms that seem to be the main beneficiaries of openness. The impact of financial reforms on debt maturity is not different for constrained and unconstrained firms in advanced economies. In emerging economies, on the other hand, bank entry and liberalization of interest rates reduce debt maturity only for constrained firms.

Overall, this evidence indicates that the reduction in funding costs and the increase in the availability of credit fostered by financial openness and liberalization may not be necessarily achieved at their full potential in emerging economies, likely because in these markets weaknesses in financial and institutional infrastructure, such as poor governance, accounting opacity and weak creditors’ rights, persist.

The remainder of the paper is composed of five sections. Section II briefly reviews the literature. Section III describes the data, and the construction of our measures of domestic financial reforms and financial openness. Section IV details the specification of the statistical model of leverage and debt maturity. Section V contains the results, and Section VI concludes.

II. Literature Review

Most empirical research on corporate borrowing decisions uses U.S. data. Rajan and Zingales (1995) investigate corporate capital structures in a cross-country framework and find that most firm-specific variables that explain leverage in U.S. firms have a similar explanatory power for firms in other advanced countries. Booth, and others (2001) examine both leverage and debt maturity in ten developing countries and find that, while the set of explanatory variables used for firms in advanced economies works well also for firms in developing countries, the size of the relevant coefficients is quite different. In addition, they show that country characteristics (captured by country fixed effects) are as important as firm characteristics in explaining the sample variation in firm financing patterns, indicating the need to understand country-level determinants of these patterns.

A set of related studies has focused on debt maturity and its relationship with country characteristics. The results of these studies differ for different samples and time periods. Using data from the 1980s for a sample of 30 developed and developing countries, Demirgüç-Kunt and Maksimovic (2001) find that a more efficient legal system and a more liquid stock market are associated with longer debt maturity for large firms. For small firms, a deeper banking sector is associated with longer maturity, while the effects of stock market liquidity and legal efficiency are negligible. Furthermore, they find that indexes measuring the degree of minority shareholder protection and creditor protection in bankruptcy are not systematically related to debt maturity. When they examine the components of the creditor rights index, however, they find that the right of secured creditors to be paid first in bankruptcy shortens debt maturity for large firms, and automatic stay on assets increases debt maturity for small firms. Giannetti (2003), on the other hand, finds that stronger creditor protection in bankruptcy significantly increases debt maturity in a sample of European non-listed companies. This result is also mirrored in Qian and Strahan (2007), in a cross-country sample of loan contracts including large, mostly global, loan issues. Qian and Strahan also find that countries with stronger creditor rights have longer debt maturities.

Fan, Titman, and Twite (2006) also examine the firm-level and country-specific determinants of both leverage and debt maturity in a broad sample of firms from 39 countries during the 1990s. They confirm the prior findings of Rajan and Zingales (1995) and Booth, and others (2001) regarding the impact of many firm-level determinants of leverage and debt maturity across countries. In addition, they find that leverage is higher in countries with more corruption and maturity is shorter in countries with more corruption and a deeper banking system. They also find that leverage is lower and debt maturity is longer in countries with a legal system based on common law.

Our analysis is linked with two other recent strands of the literature. The first strand examines the impact of bank deregulation on economic growth, credit availability, and credit quality. In the U.S., the relaxation of interstate banking and branching restrictions in the 1980s led to an acceleration of growth (Jayaratne and Strahan, 1996), to increased sensitivity of bank lending decisions to firm performance (Stiroh and Strahan, 2003), and to reduced entry barriers and improved access to finance for small-sized firms (Cetorelli and Strahan, 2006). The U.S. evidence on the benefits of bank deregulation is supported by studies of France and Italy. Bertrand, Schoar, and Thesmar (2004) find that, after the French banking industry was deregulated in 1985, bank lending decisions were more strongly influenced by firm performance; particularly, poorly performing firms were no longer bailed out by banks, resulting in more rapid industrial restructuring. In Italy, Guiso, Sapienza, and Zingales (2006) find that banking deregulation has led to improved access to credit and lower interest rate spreads, but also more nonperforming loans.3

The second strand of the literature has focused on the effects of international financial integration on economic growth. Recently, this literature has been comprehensively surveyed by Kose, and others (2006) and Henry (2006). Findings are generally mixed. When a large sample of countries is considered, countries that liberalize international capital flows faster or that become more financially integrated do not appear to exhibit faster growth.4 On the other hand, studies on the effects of opening up the stock market to foreign investors indicate substantial gains, both in terms of overall growth and growth opportunities (Bekaert, Harvey, Lundblad, 2005 and 2007), equity prices (Henry, 2000a), and investment (Henry, 2000b, Alfaro and Hammel, 2007).

Schmukler and Vesperoni (2006) (SV henceforth) study the impact of financial reforms on leverage and debt maturity, as we do. SV consider a sample of firms from seven emerging economies during the 1980-1998, and consider three reforms, each measured through a zero-one dummy variables: one for whether foreigners are allowed to invest in the local stock market (Bekaert and Harvey, 2000); one for the liberalization of the domestic financial sector, and one for the liberalization of controls on foreign capital flows (Kaminsky and Schmukler, 2003). Their main findings are that (i) liberalization does not have a significant impact on the leverage and debt maturity of firms that actively access global markets; (ii) liberalization leads to lower leverage and shorter debt maturity in firms that do not access global markets (although the effect of foreign capital flows liberalization is not significant). The authors conclude that the effects of financial liberalization are asymmetric in emerging economies, since firms that are not able to integrate in world capital markets appear unable to obtain long-maturity debt. We should note two limitations of SV’s study. First, the sample consists of only seven emerging economies. Second, country-specific macroeconomic developments and global trends are not controlled for, so the liberalization dummies may act as proxies for these omitted variables.

In our analysis, we considerably extend the set of countries including advanced as well as emerging economies; we carefully control for global trends and for changes in the macroeconomic environment, and utilize comprehensive measures of financial reforms and financial openness. In addition, we gauge the consistency of our findings by examining the impact of financial reforms and financial openness for financially constrained and unconstrained firms separately.

III. Data Overview

Our dataset is composed of accounting and market data for a large sample of publicly traded firms (excluding financial firms and utilities) in 22 advanced and 16 emerging market countries over the period 1994-2002. 5 Overall, the sample includes 76,147 firm-year observations, of which 65,565 are from advanced and 10,582 from emerging market countries.

A. Leverage and debt maturity across countries and time

Firm leverage is measured as the ratio of total debt to total assets, while debt maturity is measured as the ratio of long-term debt to total debt.6 As shown in Table 1, Panel A, firms in emerging economies exhibit a mean leverage of 0.31, compared to a mean of 0.26 of those in advanced countries. On the other hand, firms in emerging economies have on the average 42 percent of debt in long maturity, substantially lower than the corresponding value of 55 percent for firms in advanced economies. These differences between advanced and emerging market countries persist over the sample period: As shown in Panel B, in emerging economies, the mean leverage ratio of firms is higher and debt maturity is lower than those in advanced economies in all time periods. Thus, unconditionally on firm and country characteristics, firms in emerging economies appear to carry more debt in their capital structure but with shorter maturity than firms in advanced economies.

Table 1.

Descriptive Statistics

This table provides descriptive statistics for the variables in the sample of advanced countries and emerging countries as well as the overall sample. The sample covers 22 advanced and 16 emerging economies over the period 1994-2002. Panel A reports mean, median and standard deviation of the variables as well as the number of firm-year observations over the sample period 1994-2002. Panel B reports the mean levels of leverage, debt maturity, financial openness, financial liberalization index and its components yearly from 1995 to 2002. Firm level variables are as follows: Leverage is the ratio of total debt to total assets; debt maturity is the ratio of long-term debt to total debt; growth opportunities are measured as the ratio of market value of assets to book value of assets; size is natural logarithm of total assets; asset maturity is measured similar to that of Barclay, Marx and Smith (2003); tangibility is the ratio of net plant property and equipment to total assets; profitability is EBIT divided by total assets; volatility is stock return volatility computed over the year using weekly returns. Country level variables are as follows: Share turnover is the share turnover of all stocks in a country; inflation is measured as the natural logarithm of one plus the annual change in consumer prices; GDP per capita is measured as the natural logarithm GDP per capita at purchasing power parity; GDP growth is the annual change of GDP per capita; growth volatility is measured as the standard deviation of GDP growth over five years. Other country level variables are financial openness measured as the external private sector debt to GDP. Financial liberalization index and its components (bank entry, credit controls, securities markets, interest rates and bank privatization) are from Abiad, Detragiache and Tressel (2006). Number of firm year observations with ADRs and bond rating are also reported. Sample is winsorized at 0.5% levels of the tails of the distribution.

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B. The domestic financial reforms index

To measure domestic financial reforms, we rely on the database of financial reforms of Abiad, Detragiache and Tressel (2007) (ADT henceforth). This database tracks several dimensions of financial reforms in 60 countries over the period 1973-2002. The credit controls and reserve requirements dimension accounts for the restrictiveness of reserve requirements, the existence of mandatory credit allocations set by central bank, the existence and extent of subsidized credit schemes, as well as the presence of quantitative restrictions on bank credit. The interest rate controls dimension measures the extent to which deposit and lending rates are market determined or are subject to administrative ceilings. The bank entry barriers dimension tracks entry restrictions in the banking sector and other financial sectors, including restrictions on foreign bank entry, as well as restrictions on branching and scope of bank activities. The bank privatization dimension measures the extent to which bank assets are controlled by private owners rather than the government. The securities markets dimension tracks reforms that foster the development of government and corporate bond markets as well as other financial equity markets. Finally, the bank supervision dimension considers the adoption of the Basel capital regulation and a number of characteristics of the bank supervisory system, such as the degree of independence of supervisory agency, the effectiveness of on-site and off-site examinations of banks by supervisory agency, and whether all banks are subject to supervision or not.

In each dimension, a higher score indicates a higher degree of domestic financial reforms. In the regressions, we use both indexes for the individual subcategories and an index that combines the six dimensions (domestic financial reforms (DFL) index, henceforth). The range of these indexes is between zero and one.

In the sample, there are six advanced countries (Canada, Denmark, Finland, Germany, New Zealand and Sweden) where there is no change in any dimension of the DFL index during our sample period, as by 1995 they were already quite advanced in the reforms process. In three dimensions (credit controls and reserve requirements, interest rate controls and securities markets) the main variation is in emerging economies. On the other hand, the bank privatization, bank entry and bank supervision dimensions exhibit substantial crosscountry and time variations in most countries. As shown in Table 1 and Figure 1, advanced market countries have higher scores than emerging market countries in all dimensions of the DFL index. Moreover, the DFL index has a general upward trend that flattens after 2000.

Figure 1:
Figure 1:
Figure 1:

Evolution of Leverage, Debt Maturity, DFL index and financial openness

This figure shows time series of sample mean leverage, debt maturity, external private sector debt to GDP, and financial liberalization index in figures 1A, 1B, 1C, and 1D, respectively. Each figure presents the values for overall sample, advanced countries and emerging countries.

Citation: IMF Working Papers 2007, 186; 10.5089/9781451867503.001.A001

C. Financial Openness

To proxy access to international credit markets we use the ratio of total private sector external liabilities of the country to GDP. As noted, this measure aims at capturing de facto international financial integration as opposed to reductions in administrative barriers to capital flows. Kose, and others (2006) argue that measures of gross stocks and flows of cross-border financial claims should be used to measure financial globalization, and show that often used indexes of de jure liberalization of international capital flows are only marginally related to cross-border claims.

For advanced countries, the external debt liabilities of the private sector are obtained from the International Investment Position statistics of the IMF. We add together two entries, portfolio and other investment in the debt market. From this sum, we subtract the following investments of the monetary authority and the general government: bonds and notes, loans, currency and deposits, money market instruments and other liabilities of monetary authority and general government, and trade credits of general government. For emerging economies, we use data from the World Bank Global Development Finance database. We calculate the sum of private non-guaranteed long-term debt and private short-term debt. Since short-term debt data are not available solely for the private sector in this database, we assume that the ratio of short-term debt of private sector to total short-term debt is the same as the ratio of long-term debt of private sector to total long-term debt.

As shown in Figure 1, financial openness has increased over the sample period both in emerging and advanced market countries and, as the DFL index, is about constant after 2000.

IV. Methodology

A. The empirical model

We estimate versions of the following regression models:

LEVisct=αs+αc+αt+Xisct1β11+Zct1β12+DFINLIBct1γ1+δ1FOPENct1+εisctMATisct=αs+αc+αt+Xisct1β21+Zct1β22+DFINLIBct1γ2+δ2FOPENct1+θLEVisct1+ηisct

where LEVisct and MATisct denote leverage and debt maturity of firm i belonging to industry s in country c and year t. The terms αs, αc and αt denote industry (2-digit SIC codes), country and time fixed effects, respectively. The terms Xisct-1 and Zct-1 denote lagged vectors of firm-level and country-level control variables respectively, DFINLIBct-1 is the lagged DFL index or the set of its components, and FOPENct-1 is the lagged value of our proxy measure of financial openness.

Using lagged variables is consistent with the idea that firms’ debt financing decisions in any given period are made conditional on values of all variables at the beginning of that period. In the debt maturity regressions, we also introduce the lagged level of leverage as an additional control, since firms’ debt maturity decisions likely depend on total indebtedness in the previous period. All standard errors are clustered by country.

We present results for three key regression specifications applied to the full sample, as well as to the samples of developed and emerging market countries separately. All specifications include industry, country and time fixed effects, which control for time invariant industry and country-specific characteristics, and for a common time effects across countries. Subsequently, we report the results for a set of alternative specifications as robustness tests, including one with firm fixed effects.

In the first specification, we include firm-specific variables, the index of domestic financial reforms and financial openness, and control for a number of country-level covariates. These regressions allow us to assess the overall impact of domestic financial reforms and international financial openness (coefficients γ and δ) conditional on a large set of firm-specific and country-specific characteristics. The second specification is the same as the first except that we replace the domestic financial reforms index with its components entered separately. This allows us to detect possibly differential effects of each dimension of domestic financial reforms on leverage and debt maturity.

B. Firm level controls

Corporate finance theory identifies growth opportunities, size, profitability, tangibility, asset maturity, and asset volatility as key determinants of firms’ leverage and debt maturity (see Harris and Raviv (1991) and Rajan and Zingales (1995) for leverage and Barclay and Smith (1995) and Stohs and Mauer (1996) for debt maturity).7 Our proxy measures of these determinants are constructed consistent with the empirical corporate finance literature.

Growth opportunities are measured by Tobin’s Q, firm size by the log value of end-period total assets, profitability by the ratio of earnings before interest and taxes (EBIT) to total assets, asset tangibility by the ratio of net plant, property and equipment (NPPE) divided by total assets, asset maturity by a ratio similar to that used by Barclay, Marx, and Smith (2003), and asset volatility by stock return volatility.8

In the leverage regressions, the vector of firm level variables includes firm size, growth opportunities, profitability and tangibility as in Rajan and Zingales (1995). In addition, we include lagged dummy variables indicating whether a firm has either a bond rating from Moody’s or it has issued ADRs in a given year, since the leverage of rated firms with access to international capital markets may significantly differ from that of firms without these characteristics.9 In the debt maturity regressions, we follow Barclay and Smith (1995), Stohs and Mauer (1996), Fan, Titman and Twite (2006) and SV by including firm size, growth opportunities, asset maturity, asset volatility, tangibility, profitability, leverage, as well as bond ratings and ADR dummies. Bond ratings and ADR dummies account for the possibility of distinct debt maturity choices for firms with access to international capital markets. SV find that these firms have higher leverage and longer debt maturity than those that do not have access to international capital markets.

C. Country-level controls

Country-specific characteristics are controlled by a set of macroeconomic variables and other proxies of institutional characteristics. Time fixed effects are introduced to control for worldwide developments, both long-term and cyclical, as well as for events that affected world financial markets, such as the Asian and Russian crises.

The level of country’s development is measured by the natural logarithm of gross domestic product (GDP) per capita at purchasing power parity (PPP) from the World Development Index (World Bank) database. Cross-country differences in the macroeconomic environment are accounted for by GDP growth, a proxy measure of volatility of GDP growth, the annual inflation rate and a high inflation dummy, the latter being introduced to take possible non-linearities into account.10

The liquidity of the domestic stock market can be important in influencing firms’ debt financing decisions. To the extent that long-term debt and equity are substitutes, firms operating in more liquid markets, in comparison with their peers in countries with less liquid stock markets, are likely able to more easily substitute equity for long-term debt, and carry relatively more short-term debt. Lastly, we control for banking crises, since the supply of bank credit to the corporate sector typically shrinks during these episodes, likely affecting firms’ leverage and debt maturity. We use Harvey’s country risk chronology to determine banking crisis dates, and construct a banking crisis dummy, which is set to 1 for the year after the country is classified as being in a crisis. 11

V. The Results

A. Leverage, debt maturity and firm characteristics

As shown in Table 2, the results on the firm specific determinants of leverage are consistent with the existing literature. Leverage is positively and significantly related to firm size, tangibility, and the existence of a bond rating.12 This result indicates that larger (and rated) firms with more tangible assets are able to borrow at more favorable terms because of their better ability to offer providers of finance verifiable collateral relative to smaller (and unrated) firms with less tangible assets. On the other hand, leverage is negatively and significantly related to growth opportunities owing to the underinvestment problem identified by Myers (1977), and to profitability, consistent with previous empirical findings.13 Note also that leverage is higher for firms that have issued ADRs, suggesting that these firms can more easily raise debt when they also raise equity in the U.S.

Table 2

Leverage, Financial Openness and Financial Liberalization

This table shows: (1) how financial liberalization and financial openness affect leverage, controlling for the macroeconomic and firm level factors; and (2) how the six dimensions of financial liberalization (bank entry, credit control, interest rates, securities markets, bank supervision and privatization) affect leverage, controlling for financial openness, firm level factors and macroeconomic factors. The sample covers the period 1994-2002 for 22 advanced and 16 emerging countries. Variable definitions are given in Table 1. All independent variables are lagged by one period. Industry, country and year dummies are controlled. Standard errors are clustered by country. The labels a, b, c denote significance at the 1%, 5%, and 10% level, respectively and t-statistics are given in italics.

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Turning to the debt maturity regressions presented in Table 3, debt maturity is positively related to leverage, size, asset maturity, tangibility, profitability, the presence of a bond rating and of an ADR program, and negatively related to volatility. The coefficients of asset maturity, the presence of an ADR program and volatility are not statistically significant in emerging economies. These findings are broadly consistent with the existing theoretical and empirical literature on debt maturity. Specifically, debt maturity is positively related to leverage because higher leverage increases the liquidity risk associated with the rollover of short-term debt. Maturity is also increasing in firm size since there are fixed costs to issuing long-term bonds and because large firms are less affected by information asymmetries. There is a positive relation between debt maturity and asset maturity as firms attempt to match the maturities of assets and liabilities. This relation, however, is insignificant in emerging economies suggesting that the ability of firms in emerging economies to match the maturities of their assets and liabilities is more limited than that of firms in advanced countries. Debt maturity is positively related to tangibility since assets whose value can be more easily priced can be used more readily as collateral, reducing the cost of borrowing long term. Debt maturity is also increasing with firm profitability, as more profitable firms are better able to commit to long-term interest payments; and with bond rating and ADRs, due to easier access to long-maturity bond and equity markets, respectively. Finally, debt maturity is negatively related to volatility as increased business risk increases the cost of borrowing long term.14

Table 3

Debt Maturity, Financial Openness and Financial Liberalization

This table shows (1) how financial liberalization and financial openness affect debt maturity, controlling for the macroeconomic and firm level factors; and (2) how the six dimensions of financial liberalization (bank entry, credit control, interest rates, securities markets, bank supervision and privatization) affect debt maturity, controlling for financial openness, firm level factors and macroeconomic factors. The sample covers the period 1994-2002 for 22 advanced and 16 emerging countries. Variable definitions are given in Table 1. All independent variables are lagged by one period. Industry, country and year dummies are controlled. Standard errors are clustered by country. The labels a, b, c denote significance at the 1%, 5%, and 10% level, respectively and t-statistics are given in italics.

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The only finding that appears at variance with theoretical predictions is that debt maturity is increasing in growth opportunities (although the effect is marginally significant in emerging economies). Although the underinvestment problem of Myers (1977) suggests that debt maturity should decrease with growth opportunities, the empirical findings of SV and Fan, Titman and Twite (2006) are in line with our findings. With respect to profitability, our evidence indicates a positive relation between debt maturity and profitability, consistent with the results in Demirgüç-Kunt and Maksimovic (1999) and Fan, Titman and Twite (2006).15

To summarize, we find strong evidence that firm characteristics that have been found to affect leverage and debt maturity in the existing literature are also relevant for the firms in our sample.

B. The impact of some country specific characteristics

Identifying the impact of financial reforms and financial openness on firm leverage and debt maturity requires that we control for changes in country characteristics and the macroeconomic environment. Thus, our regressions include proxies for countries’ level of development, their macroeconomic environment, the degree of liquidity of their stock markets, and the occurrence of banking crises, in addition to including the DFL index and our measure of financial openness as explanatory variables.

In the leverage regressions presented in Table 2, leverage is positively associated with GDP per capita, suggesting that the higher level of development of financial markets and intermediaries in more developed economies is likely to foster firms’ reliance on debt. GDP growth has a negative coefficient, indicating that leverage moves countercyclically. This result is consistent with the predictions of the model of Hackbarth, Miao and Morellec (2006), and with the evidence reported in Korajczyk and Levy (2003) that in periods of rapid growth firms rely more on internal finance. Leverage is also negatively related to GDP volatility and inflation, indicating that an uncertain macroeconomic environment makes it more difficult for firms to borrow. Finally, leverage is lower when the stock market is more liquid, as firms may find it relatively less expensive to rely on equity financing. In emerging economies, disruptions in the banking system associated to banking crises also result in lower leverage (there are no crises in advanced countries during our sample period). All in all, the impact of these country-level characteristics on leverage is consistent with theory and existing evidence.

In the debt maturity regressions, the country-level controls have similar signs as in the leverage regressions for advanced economies, with inflation, GDP growth, GDP volatility and stock market liquidity being negatively related to debt maturity (Table 3). In emerging economies, GDP per capita and the high inflation dummy are negatively related to debt maturity, while the other macroeconomic variables are not significant.

In sum, these results indicate the importance of including a rich set of country-specific characteristics in any specification of a statistical model of firms’ financing patterns.

C. The impact of domestic financial reforms and international financial openness

Turning to the main variables of interest, openness and reforms, we find important similarities as well as differences between firms’ financing patterns in advanced and emerging economies. In advanced economies, both leverage and debt maturity are positively and significantly related to international financial openness and domestic financial reforms. This indicates that, in these countries, increased openness of financial markets and deregulation have likely increased the availability and reduced the relative cost of debt finance in general, and of long-term debt finance in particular.16

The picture is more complex when we turn to emerging economies. In these countries, as in the advanced economies, leverage is positively and significantly related to financial openness, indicating increased access to debt finance as expected. However, leverage is negatively related to domestic financial reforms and, contrary to what found in advanced economies, increased financial openness decreases debt maturity. The overall index of domestic financial reforms has no significant effect on debt maturity in these markets. Thus, in emerging economies, stronger integration in international financial market seems to have increased the availability and reduced the relative cost of debt finance, but the additional financing has been provided at short maturity. On the other hand, domestic financial deregulation appears to make debt financing less attractive to emerging market corporations, even though these reforms were aimed at improving the functioning of credit markets.

These results indicate that the relative strength of demand and supply shifts induced by increased international financial openness and domestic financial reforms critically depends on “structural” country characteristics. Specifically, the importance of cross-country differences in the intensity of information asymmetries and the cost of financial contracting (poor corporate governance and accounting standards, weak creditor rights, etc.) stressed by Diamond (2004) and Stulz (2005) may explain the different impact of financial openness on debt maturity. If the provision of short-term funds is used by banks and investors as a monitoring device of borrowers located in an environment less well-known and characterized by a weak financial infrastructure, and such environment is also one where firms find it more difficult or costlier to access to alternative sources of funding, then the supply of short-term funding relative to the total may increase. In addition, more bank competition may break down old relationships, and at the beginning of new relationships banks may lend proportionally more on a short-term basis. This environment may be one characterizing an emerging market experiencing financial globalization and domestic deregulation, at least in a transitory phase. By contrast, in a developed economy, none of these conditions may be crucial, and the increased entry and openness may induce firms to increase their supply of long-term debt instruments as a larger variety of financing sources becomes available. With regard to reforms, similar forces appear at play.

In the next section, we consider specific financial reforms separately to gain a better understanding on which specific reforms may be driving the results.

D. Disentangling the effects of financial reforms

In the second specification reported in Table 2 and Table 3, we rerun the regression after breaking down the DFL index to its components. In interpreting the results, it is important to keep in mind that, as explained in section III, for three of the components (credit allocation and reserve requirements, interest rate controls and securities market) the sample variation is very limited in advanced countries, so the full sample results are driven mainly by emerging economies. In addition, to the extent that reforms take place at the same time, there may be multicollinearity among the components of the index, which may lower the significance of individual coefficients.

The main findings are summarized in the table below. The negative effect of financial reforms on leverage in emerging economies is driven by most of the components, with the exception of credit allocation (which is not significant) and of bank privatization (which has a positive and significant impact). Thus, measures to facilitate entry in the banking sector, interest rate liberalization, stronger supervision, and reforms to develop securities markets, all seem to have increased the cost or reduced the availability of debt finance for corporations in emerging economies relative to other sources of finance. The development of domestic securities markets, on the other hand, seems to have helped lengthening debt maturity, perhaps because this variable captures mainly progress in establishing long-term domestic currency government bond markets, which, in turns, helps investors pricing long-term corporate debt.

The impact of financial reforms components on leverage and debt maturity

Reforms with coefficients with p value<= 0.10

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In advanced economies, reforms to strengthen supervision and liberalization of interest rates are associated with less leverage and longer debt maturity, suggesting that they may have induced banks to tighten their lending standards. Bank privatization increases leverage in all countries, but the effects on maturity differ: they are positive in advanced economies and negative in emerging economies. This may reflect the fact that in emerging economies state-owned banks are heavily involved in policy lending, which is typically at long maturities, while in advanced economies state banks are less encumbered with developmental tasks.

With the important exception of bank privatization, the impact of domestic financial reforms on leverage in emerging economies is negative, while it is positive in advance countries. Factors similar to those explaining the differential impact of financial openness on debt maturity may be at play, i.e. in emerging economies the weight of informational asymmetries and relatively less developed market infrastructure may have induced providers of finance to tighten their lending standard and charge higher risk premia, with firms responding by relying less on debt relative to equity or internal funds.

E. Financial Constraints

Next, we consider whether the impact of financial reforms and financial openness on firms’ leverage and debt maturity is different for firms that are potentially facing financial constraints and firms that are not.17 Other things being equal, if domestic financial reforms and international financial openness increase the availability of funds, especially long-term credit, and decrease their cost owing to more competition among providers of finance, then firms’ financial constraints should be reduced. Thus, we should find that reforms and openness have stronger impact on the leverage and debt maturity of constrained firms. If, instead, financial constraints bind due to the presence of information asymmetries, governance opaqueness and weak creditors’ rights, rather than the restrictions on entry or on the activities of providers of finance, then we may not observe this effect. Therefore, the following tests provide further evidence on the differential firm response to openness and reforms.

Following Korajczyk and Levy (2003), we define a firm in a given country in a given year as constrained if it is not paying dividend and its Tobin’s Q is either greater than 1 or greater than the median for that country. Using this definition, 22 percent of our sample observations are classified as constrained.18 The regression results are given in Table 4. Panel A and Panel B report results on leverage and debt maturity, respectively, for advanced countries and emerging economies. We should first note that, consistent with Korajczyk and Levy (2003), we find that macroeconomic conditions mainly affect leverage decisions of unconstrained firms.

Table 4

The Impact of Financial Openness and Financial Liberalization on Leverage and Debt Maturity for Constrained and Unconstrained Firms

This table shows the effects of financial liberalization and financial openness on leverage and debt maturity for constrained and unconstrained firms, controlling for the macroeconomic and firm level factors. A firm in a given country in a given year is considered as constrained if the firm is not paying dividend and the Tobin’s Q of the firm is above one or above the median Tobin’s Q of that country. There are 15,808 observations in the constrained sample (14,120 from advanced market countries and 1688 from emerging market countries). Unconstrained sample has 55,607 observations (47,277 from advanced market countries and 8,330 from emerging market countries). The results are reported for advanced and emerging market countries. Variable definitions are given in Table 1. Industry, country and year dummies are controlled. Standard errors are clustered by country. All independent variables are lagged by one period. The labels a, b, c denote significance at the 1%, 5%, and 10% level, respectively and t-statistics are given in italics.

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A comparison of the size and sign of the coefficients of openness and reforms in the leverage regressions show that, in advanced economies, the positive effect of these variables is stronger for constrained firms. As noted, this result is consistent with an increase in competition among providers of credit, both domestically and internationally, making financial constraints less severe. Interestingly, when we disaggregate the reform index, it appears that stronger supervision has asymmetric effects: while constrained firms benefits (in the form of increased leverage), unconstrained firms suffer (and reduce leverage). For debt maturity, on the other hand, more openness tends to increase maturity, but only for unconstrained firms, while the effect of financial reforms seems more pronounced in the constrained sample.

In emerging economies, the positive effect of openness on leverage is stronger for unconstrained firms than for constrained firms. This result is consistent with the view that financial constraints for emerging market firms arise from informational asymmetries and governance opaqueness, rather than from limited competition or excessive regulation among funds’ providers. With regard to financial reforms index, we do not find differential effects between constrained and unconstrained firms. Bank privatization, however, has opposite effects on the two types of firms: it lowers leverage in constrained firms, but increases it in unconstrained firms. This may be because constrained firms are the main beneficiaries of loans from state-owned banks. Deregulation of restrictions on bank entry leads to lower corporate leverage, but the effect is quantitatively stronger for constrained firms, perhaps because these firms were more reliant on relationship lending which may be disrupted by new entry. Privatization and bank entry deregulation also result in sharper reduction in debt maturity in constrained firms than in unconstrained firms in emerging economies. The effect of bank supervision on leverage in emerging economies is similar to that in advanced countries (positive, although not significant, for constrained and negative for unconstrained firms).

In sum, this evidence supports our previous results regarding the differential impact of reforms and openness on firms’ financing patterns as mainly due to cross-country differences in the quality of countries’ financial infrastructure.

F. Robustness

To test the robustness of our findings, we re-estimate the regressions using firm fixed effects rather than country and industry fixed effects, and find that the signs and significance levels of the coefficients of the variables of interest remain unchanged. The results are reported in Table 5 and Table 6.

Table 5

Alternative Specifications with Financial Liberalization Index

This table shows how financial liberalization and financial openness affect leverage and debt maturity, controlling for the macroeconomic and firm level factors. There are three specifications reported: (1) Controlling with firm and year dummies; (2) With private control to GDP, creditor rights and ICRG composite index as additional variables; (3) With the interaction of bond rating and ADR dummies with financial liberalization index and financial openness. In specifications (2) and (3), industry, country and year dummies are controlled. Panel A shows results on leverage and Panel B shows results on debt maturity. ICRG composite is the ICRG composite country risk index; Private credit is private credit by deposit money banks to GDP; Creditor rights is the credit rights index of Djankov, McLiesh and Shleifer (2007). Other variables are as defined in Table 1. Standard errors are clustered by country. All independent variables are lagged by one period. The labels a, b, c denote significance at the 1%, 5%, and 10% level, respectively and t-statistics are given in italics.

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Table 6

Alternative Specifications with the Components of Financial Liberalization Index

This table shows how financial liberalization and financial openness affect leverage and debt maturity, controlling for the macroeconomic and firm level factors. There are two specifications reported: (1) Controlling with firm and year dummies; (2) With private control to GDP, creditor rights and ICRG composite index as additional variables and industry, country and year dummies are controlled. Panel A shows results on leverage and Panel B shows results on debt maturity. ICRG composite is the ICRG composite country risk index; Private credit is private credit by deposit money banks to GDP; Creditor rights is the credit rights index of Djankov, McLiesh and Shleifer (2007). Other variables are defined as defined in Table 1. Standard errors are clustered by country. All independent variables are lagged by one period. The labels a, b, c denote significance at the 1%, 5%, and 10% level, respectively and t-statistics are given in italics.

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