Proceedings of Global Business and Finance Research Conference 5-6 May, 2014, Marriott Hotel, Melbourne, Australia, ISBN: 978-1-922069-50-4 The Impact of Financing on the Investments of SMEs: Evidence from the Recent Financial Crisis Xiaohong Huang1, Rezaul Kabir2 and Siraj Zubair3 This paper examines how the recent financial crisis has affected the investments of Small and Medium-sized Enterprises (SMEs). We use a novel dataset of private firms from the Netherlands covering a long timeperiod (2004-2012). The results show that the financial crisis has no significant impact on the investments of SMEs. When we distinguish between the influences of internal financing (cash flows) and external financing (bank debt), we find that investment of SMEs are constrained by the availability of the cash flows and more determined by bank debt. Key words: Financial crisis, investment, internal financing, external financing, SMEs 1. Introduction What is the relationship between financing and investment behaviors of firms? This question has been debated intensively throughout the world. In a perfect capital market, a firm is always able to acquire necessary finance at a fair price to finance their investment (Modigliani and Miller, 1958). But, in reality the perfect capital market does not exist due to market imperfections such as adverse selection, moral hazards and agency problems. These market imperfections may restrict a firm’s access to external finance (Holmstrom and Tirole, 1997), which in turn, might affect their investment behavior. Understanding investment behavior of firms under imperfect market conditions is one of the central discussions in financial economics. Studying this phenomenon can provide insights about the investment behavior of firms as a function of internal and external finance. Capital market imperfections may constraint investment and there are possible interactions between a firm’s investment and financing (Hubbard, 1998). Most studies during the last three decades ground on investment models in which the assumptions are based on the perfect market conditions and information asymmetry. This research strand gave birth of a new direction in the realm of finance-investment nexus which depicts the relationship between investment and financial constraints of _________________ 1 Assistant Professor, Deartment of Business Administration, University of Twente The Netherlands. Email: x.huang@utwente.nl 2 Professor, Deartment of Business Administration, University of Twente The Netherlands. Email: m.r.kabier@utwente.nl 3 Corresponding author, PhD candidate, Deartment of Business Administration, University of Twente The Netherlands. Email: s.m.zubair@utwente.nl School of Mnagement and Governance, Deartment of Business Administration, University of Twente, Drienerlolaan 5, 7522 NB Enschede, the Netherlands., Email: s.m.zubair@utwente.nl Phone: +31 620 607 803 1 Proceedings of Global Business and Finance Research Conference 5-6 May, 2014, Marriott Hotel, Melbourne, Australia, ISBN: 978-1-922069-50-4 firms. The study of Fazzari et al., (1988) is one of the first studies in the financeinvestment strand, which empirically tests the effect of financial constraints and market imperfections on investment. They assume that an increase in asymmetric information might cause an increase in the cost of acquiring external finance. This cost advantage bestows a firm the incentive to use internal finance for investment. When internal finance is not sufficient, a firm needs to use externally generated finance in order to continue its investment. Hence, the investment of a firm substantially depends on its internally generated finance (more precisely on its cash flows and retained earnings). Previous empirical studies on finance and investment nexus document the following key findings: (i) financial constraints play a significant role in shaping the investment of firms; (ii) investment behavior is lumpy and a period of low investment is followed by large investment spikes; (iii) small firms face more financing constraints than large and listed firms; and (iv) small firms grow faster compared to their larger counterparts. Scholars argue that investments of Small and Medium-sized Enterprises (SMEs) are usually restricted due to the difficulties in obtaining external finance compared to large and listed firms. These difficulties arise mainly because of severe market imperfections (e.g. adverse selection, moral hazards and agency problems) and high transaction costs (Berger and Udell, 1998; Michaelas et al., 1999; Beck et al., 2008). These problems may further worsen during a financial crisis. At the end of 2007, the world has seen one of the worst financial crisis in the history since the ‘Great Depression’ (Mian and Sufi, 2009; Melvin and Taylor, 2009). From an academic point-of-view, the recent financial crisis is an interesting enigma which inspired research in many fields of finance and economics. A significant number of studies explore the causes of the crisis as well as the consequences. However, studies analyzing the effects of financing on investment during the financial crisis are limited and mostly based on publicly listed firms (Akbar et al., 2013). Little attention has been paid to SMEs for which access to external sources of finance are limited. An analysis of private SMEs can be more interesting because the financing pattern of privately held SMEs significantly differs from that of large and listed firms (Beck et al., 2008). As a result, private SMEs might be affected more when a financial crisis is underway. To the best of our knowledge, Vermoesen et al. (2013) and Akbar et al. (2013) are the two studies which empirically investigate the effects of financing on the investment of SMEs during the financial crisis. Vermoesen et al. (2013) investigate the financing effects of Belgian SMEs and the effect of debt maturity during the financial crisis. Akbar et al. (2013) use data of UK SMEs to examine the effect of the financial crisis on investment. Our study aims to shed more light and further extend the knowledge-base by investigating private SMEs in the Netherlands. Similar to the SMEs in other countries, Dutch SMEs are also the growth drivers of the economy. During the financial crisis, SMEs in the Netherlands were hit harder than 2 Proceedings of Global Business and Finance Research Conference 5-6 May, 2014, Marriott Hotel, Melbourne, Australia, ISBN: 978-1-922069-50-4 large businesses (SBA fact sheet, 2010). In the Netherlands, the most common sources of external finance for private firms are bank loans, supplier credit and leasing (EIM, 2010). Over the past years, Dutch banks have continuously introduced tightening credit conditions (Masselink and Noord, 2009). When bank finance is a major source of capital for SMEs, a reduction in the availability of bank finance usually would have a significant impact on SMEs’ planned investment and consequently, growth. Furthermore, facing a difficult time in acquiring bank finance during financial crisis, Dutch SMEs could have been affected negatively in terms of investment. However, no previous academic study has examined this issue. We also contribute to the literature by specifically examining the separate effects of internal finance (cash flows) and external finance (bank debt) on firm investments. Since, the Netherlands is a country operating under the creditor-oriented financial system (as opposed to a market-oriented financial system in the USA or UK), the results of our study also provide more insights in terms of the firm dynamics in such a financial system. The remainder of the paper is organized as follows. Section 2 outlines the hypotheses. Section 3 describes research methodology followed by a description of the sample in Section 4. The results are presented in Section 5. Section 6 concludes the paper. 2. Hypotheses In an efficient capital market, finances flow efficiently to firms with profitable investment opportunities. As a consequence, firms with the same investment opportunities can undertake the same number of investment projects and on average will grow at the same rate (Kashara, 2008). However, due to market imperfections the investments of firms could be constrained by firm-specific financial variables or characteristics other than their investment opportunities (Fazzari et al., 1988; Bernanke and Gertler, 1989; Kiyotaki and Moore, 1997; Tirole, 2006). According to recent investment theories, if there are serious imperfections in the financial markets and firm face different degrees of financing constraints, then two firms with the same investment opportunities do not grow at the same rate because of their financial status (Kashara, 2008). The investment is expected to be lower of a firm which is more financially constrained than others because usually the firm which is financially constrained would less likely to invest more. If the market is perfect, a shock to one source of finance has limited or no impacts on firms as firms can easily access substitute sources. Chen and Hsu (2005), argue that firms which have access to capital markets are able to accumulate finance and maintain production. However, firms which have restricted access to capital markets are accumulating less or no finance and thus lowering investment. They claimed that, firms who have low collateral, which increases their risk premium and reduced their output during the credit crunch. They also find that, during the Asian financial crisis the output decline was greater in SMEs to larger firms. In addition, Domac and Ferri 3 Proceedings of Global Business and Finance Research Conference 5-6 May, 2014, Marriott Hotel, Melbourne, Australia, ISBN: 978-1-922069-50-4 (1998) highlight that, financial shocks have adversely affected the economic activities of Korean firms, and more pronounced on SME’s. Similar results are also reported in Kim et al., (2002) who find contractions in the credit market for SMEs while finding insignificant evidence for large firms during the Korean financial crisis. In the context of the recent financial crisis, research has shown that the credit crisis has negatively affected the investment of firms (Duchin et al., 2010). Fluctuation in the supply of external finance may play a significant role in determining investment decisions. During a financial crisis the supply of bank finances shrinks. Thus, firms who depend on the bank debt as a major source of external finance would suffer during a financial crisis. Bank credit supply shocks would affect the SMEs relatively more because these firms mainly depends on banks for external finance (Petersen and Rajan 1994, Burger and Udell, 1998) and have limited access to alternative sources of finance (Bae et al., 2002; Becker and Ivashina, 2010; Akiyoshi and Kobayashi, 2010). Therefore, when a financial crisis is underway, SMEs would face financing constraints as credit supply from banks become narrow. Alternatively, during the financial crisis, the flow of internal finance also decreases because revenue falls during the period of recessions (Carpenter et al., 1994). A small fluctuation in revenue causes a large proportionate change in profits, and thus, in the flow of internal finance to the firm. Therefore, it can be argued that during the financial crisis, SMEs face severe financial constraints. The above mentioned scenario tells us that, during a financial crisis, supply of both external and internal finance to SMEs would shrink compared to the normal state of the economy. As a result, even though SMEs might have investment opportunity or desire to invest more, these firms cannot invest due to the lack of finance. Thus, the following hypothesis is formulated. H1: Investments of SMEs decline following the onset of the financial crisis. It is well argued in the finance literature that, a firm should use internal finance over external finance because of market imperfections and transaction cost. If the internal finance is not sufficient to meet the required investments, access to external finance becomes indispensable (Meyer, 2001). Thus, external financial constraints would play an important role in determining investment choices of firms when internal finance is scarce or not available. As mentioned earlier, an obvious source of external finance for SMEs is bank finance and SMEs are mostly dependent on them (Petersen and Rajan 1994, Burger and Udell, 1998; Carpenter et al., 1994). The effects of bank finance on investment have been explored in the finance-growth literature, which assumes that bank finance may foster the investment of firms (Greenwood and Jovanovic, 1990; King and Levine, 1993). Firms which are dependent on banks for finance, a small fluctuation in the supply of bank finance would have a negative effect on their investment (especially collaterally poor and highly leveraged firms) (Holmstrom and Triole, 1997; Hancock and Wilcox, 1998). Consequently, the negative effect of credit supply shocks would be stronger on SMEs during a financial crisis as these firms lack access to other alternative sources of 4 Proceedings of Global Business and Finance Research Conference 5-6 May, 2014, Marriott Hotel, Melbourne, Australia, ISBN: 978-1-922069-50-4 bank finance (Bae et al., 2002; Becker and Ivashina, 2010; Akiyoshi and Kobayashi, 2010). As argued before, a firm should only use debt finance when it necessarily needs because debt finance is not a substitute to internal finance and acquiring debt finance is difficult and costly. Thus, during a financial crisis, internal finance becomes a distinct source of finance for investment of SMEs as the external sources are dried up or become more difficult to obtain. When external finance is costly or rationed, an additional dollar of internal finance permits an additional dollar of investment for firms (Carpenter et al., 1994). In line with the investment desire, during a financial crisis SMEs would be highly dependent on internally generated finance rather on external finance to fuel their investment. This leads us to formulate the second hypothesis: H2: Investment of SMEs during the financial crisis is more determined by internal finance than external finance. 3. Empirical strategy In order to investigate the effect of financing on SME investment during the financial crisis, we use the following benchmark OLS regression model: Yit = α1+ β1 Xit + β2 Zit+ β3 Crisis + β4 (Crisis * ∑ Xit) + μit (1) where, Yit is the dependent variable, Xit is the set of main explanatory variables, and Zit is the set of control variables. Crisis is a dummy variable equal to 1 for the period 2008-2012, and 0 for the period 2004-2007. β1, β2 and β3 are the coefficients indicate how much the explanatory variables (i.e. financing) influence the dependent variable (i.e. Investment). β3 indicates how much the coefficient is different in the crisis period (2012-2008) relative to the pre-crisis period (2004-2007). The interaction term β4 represents the joint effect of financing and the crisis period on investments. μ it is the error term in the regression. Sources of heterogeneity (e.g. the size of the firm, age of the firm, growth opportunities, industry influence, etc.) are used for the measure of control variables as suggested by various empirical studies. To test the hypothesis 1 (i.e. estimating the effects of financial crisis on investment), specification (1) is extended as follows: Investmentit = α1+ β1 Crisis + β2 Cash flowit + β3 Bank debtit + β4 Sizeit + β5 Ageit + β6 Growth opportunityit + β7 Industy + μit ……………………………………………. (2) Specification (2) will be used to determine the effect of the financial crisis on investment. The main coefficient of interest here is β1 which is expected to have a negative effect on investment. 5 Proceedings of Global Business and Finance Research Conference 5-6 May, 2014, Marriott Hotel, Melbourne, Australia, ISBN: 978-1-922069-50-4 To test the second hypothesis (i.e. estimating the effects of internal finance and external finance on investment during a financial crisis), specification (1) is extended as follows: Investmentit = α1+ β1 Crisis + β2 Cash flowit + β3 Bank debtit + β4 Sizeit + β5 Ageit + β6 Growth opportunityit + β7 Industy + β8 (crisis * Cashflowit) + β9 (crisis * Bank debtit) + μit …………………………………………………………………. (3) In equation (3), the main coefficients of interest are β8 and β9. Where β8 is the interaction effect of cash flow and crisis on investment and a positive significant relationship is expected. β9 is the interaction effect of bank debt and crisis on investment and a negative relationship is expected. All variables used in this study are defined in table 1. 4. Sample The data used in this study are collected from Bureau van Dijk’s REACH database. The database contains detailed financial information on private and publicly incorporated businesses in the Netherlands. Since our objective is to investigate the Table 1: Variable descriptions Variable Investment Bank debt Cash flow Growth opportunity Size Age Crisis Descriptions Increase in tangible fixed assets plus depreciation over beginning year total assets Total bank debt over beginning year total assets Income after tax plus depreciation over beginning year total assets Change in total asset over beginning year total assets Book value of total assets Number of years since incorporation (as of 2012) Dummy variable equal to 1 for the period 2008-2012, 0 otherwise effects of financing on the investment of private SMEs during the period of financial crisis, only data of private firms are collected over the period of 2004–2012. To select the SMEs, we follow the definition of ‘European commission’ i. It classifies firms into small category when it has between 10–49 employees and €2–10 million turnover or total assets, and medium category when it has between 50–250 employees with maximum €50 million turnover or €43 million total assets. We have selected firms as SMEs when a firm at least satisfies two conditions over the period of 2004-2007. We did not use the EU definition over 2008-2012 period for the following reasons; (1) due to the negative effect of the financial crisis a large firm may become a SME and (2) this study only focusing on the adverse effect of the financial crisis on SMEs. Thus, defining SMEs based on 2004-2007 period best satisfies the objective of this study. 6 Proceedings of Global Business and Finance Research Conference 5-6 May, 2014, Marriott Hotel, Melbourne, Australia, ISBN: 978-1-922069-50-4 Firms included in the sample which are alive or active during the sample period. The youngest firm in the sample is 9 years old as we selected firms which are at least 5 years before the crisis. Firms which are operating in the financial sector (e.g. banks, insurance companies, public investment trusts) are excluded from the data set following previous studies (Rajan and Zingales, 1995; Brav, 2009). Non-for-profit organizations and governmental enterprises are also excluded. Following Duchin et al., (2010) and Vermoesen et al., (2012), for firms, whose total assets become double in one of the years of the sample period, are excluded, to omit mergers or other significant restructuring. Following Vermoessen et al., (2012), firms with negative equity are excluded. Companies with only consolidated account are selected to allow comparison across the results of prior studies. After applying all of these sampling techniques, the final sample includes a total of 469 private firms. Table 2 presents the industrial distribution of the firms in the sample. The largest part of the sample consists of wholesale and retail firms (26%). There are substantial number of firms in heavy manufacturing (21%), construction (20%), light manufacturing (16%) and transportation (11%). The other category consists of only 2% firms consist of agricultural and mining firms. Table 2: Industry classification SIC two digit codes 0-14 15-17 20-28 30-39 40-49 50-59 70-75 4.1 Industry Agricultural and mining Construction Light manufacturing Heavy manufacturing Transportation Wholesale and retail trade Services Total No. of firms % of firms 10 93 73 98 51 121 23 469 2 20 16 21 11 26 5 100 Descriptive statistics Table 3 presents the summary statistics. All variables are winsorized 1% on both tails to exclude the influence of outliers. The average yearly investment is 6.3% of the total asset. The table shows that the average amount of bank debt (sum of short-term and long-term bank debt over total assets) of sample firms are quite high (53%). The finding implies that the private SMEs in the Netherlands use more debt than equity and bank debt can be identified as a significant source of external finance. The higher debt ratios of Dutch SMEs reflect the fact that these firms cannot access public capital markets and have less internal finance. The sample firms are characterized by mature firms as the average age of firms in the sample is 38 years. 7 Proceedings of Global Business and Finance Research Conference 5-6 May, 2014, Marriott Hotel, Melbourne, Australia, ISBN: 978-1-922069-50-4 Table 3: Descriptive statistics Variable Obs Mean Median Std Min Max Investment Bank debt Cash flow Growth opportunity Size (€ millions) Age 1643 1641 1643 1643 1643 469 0.063 0.536 0.101 0.115 17.472 38 0.026 0.554 0.089 0.083 15.226 27 0.088 0.195 0.096 0.194 10.388 31 0.001 0.050 -0.153 -0.366 3.717 9 0.395 0.938 0.474 0.800 60.070 321 In Table 4, Pearson correlation coefficients between the variables are presented. The results show that SMEs which invest more tend to use more bank debt and less cash flow. Cash flow is negatively correlated with investment (-0.09) and Bank debt (0.13). Bank debt is found to be negatively associated with age, whereas conventional view that mature firm would get more bank finance. Table 4: Correlations among variables Variable Investment Bank debt Cash flow Size Age Growth opportunity 1 1 0.064* -0.077* 0.117* 0.011 0.499* 2 3 4 5 6 1 -0.098* -0.165* -0.114* 0.134* 1 -0.250* -0.046 0.019 1 0.075* 0.053* 1 -0.052* 1 The table shows Pearson correlation coefficients. All variables are defined in Table 2. * indicates significance at 5% level 5. Results Tables 5 and 6 present the regression results of the relation between investment and financing of SMEs. In all regressions, the dependent variable is the increase in tangible fixed assets scaled to total assets. All models use log of size, log of age, growth opportunity and industry influence as control variables. First, we investigate whether the SMEs in the sample reduced their investments during the period of financial crisis (2008-2012). All equations in table 5 show that crisis has no significant effect on investment. Firm size, age and growth opportunity have statistically significant positive relationship with investments (i.e. investment of SMEs increased with the in the increase of size of the firm, age of the firm and the growth opportunity). The adjusted R2 is around 30% in all models. Next, we investigate whether, in addition to the crisis effect, investments of SMEs are dependent on internal finance (cash flow) and external finance (bank finance). We run separate regressions on these variables and present these results in equations (2) – (4) in table 5. The results 8 Proceedings of Global Business and Finance Research Conference 5-6 May, 2014, Marriott Hotel, Melbourne, Australia, ISBN: 978-1-922069-50-4 show that, cash flow has a significant negative relationship with investment, but the effect of bank debt on investment is not statistically significant. However, hypothesis 1 is not supported as we do not see any significant negative effect of the financial crisis on the investment of Dutch SMEs. The results argue that, the SMEs in Netherlands were not hit by the financial crisis in-terms of investment, and portrays opposite views of the effect of financial crisis on investment in relation to previous studies (Dutchin et al., 2010; Vermoesen et al., 2013; Akbar et al., 2013). Table 5: Effect of financial crisis on investment Equation Crisis (1) 0.004 (1.08) (2) 0.003 (0.86) -0.063*** (-3.15) (3) (4) 0.004 (1.11) 0.003 (0.85) Cash flow -0.065*** (-3.14) Bank debt 0.005 0.0001 (0.49) (0.01) Size 0.022*** 0.016** 0.022*** 0.016* (2.72) (2.01) (2.71) (1.92) Age 0.007** 0.007** 0.007** 0.007** (2.38) (2.29) (2.39) (2.23) Growth opportunity 0.225*** 0.225*** 0.224*** 0.225*** (14.17) (14.26) (13.94) (14.06) Industry effect Yes Yes Yes Yes Intercept -0.082** -0.053 -0.087** -0.052 (-2.39) (-1.50) (-2.34) (-1.33) Observations 1643 1643 1641 1641 2 Adjusted R 0.302 0.306 0.301 0.305 In all regressions, the dependent variable is investment. t-statistics are in the parenthesis. ***, **, and * indicate significance at the 1%, 5% and 10% levels, respectively. Table 6 reports the regression results to test the second hypothesis. Here we include different financing sources and their interaction with the crisis dummy. In all equations, individual effect of cash flows and bank debt show no significant relationship with investment. However, the combined effect of crisis and cash flows have significant negative effect on investment. Moreover, bank debt does not show any significant relationship with investment. In equation (2), the marginal impact of bank debt on investments is -0.008 during the pre-crisis period and 0.02 (= 0.008+0.028) during the crisis period. In the extended equation (3), the marginal impact of bank debt on investments is -.011 during the pre-crisis period and 0.012 (= -0.011+0.023) during the crisis period. The both equations (2 and 3) show that SMEs use bank debt for investment during the financial crisis compared to the pre-crisis period. 9 Proceedings of Global Business and Finance Research Conference 5-6 May, 2014, Marriott Hotel, Melbourne, Australia, ISBN: 978-1-922069-50-4 Table 6: Joint effect of financial crisis and financing on investment Equation Crisis (1) 0.012** (2.22) -0.019 (-0.69) (2) (3) -0.011 (-0.96) -0.001 (-0.07) Cash flow -0.023 (-0.84) Bank debt -0.008 -0.011 (-0.59) (-0.74) Crisis* Cash flow -0.089** -0.082** (-2.40) (-2.18) Crisis* Bank debt 0.028 0.023 (1.41) (1.16) Size 0.017** 0.022*** 0.017** (2.17) (2.73) (2.08) Age 0.007** 0.007** 0.007** (2.33) (2.40) (2.28) Growth opportunity 0.226*** 0.224*** 0.225*** (14.33) (13.94) (14.13) Industry effect Yes Yes Yes Intercept -0.064* -0.080** -0.056 (-1.79) (-2.11) (-1.42) Observations 1643 1641 1641 2 Adjusted R 0.308 0.302 0.307 In all regressions, the dependent variable is investment. t-statistics are in the parenthesis. ***, **, and * indicate significance at the 1%, 5% and 10% levels, respectively. To test the second hypothesis more precisely, we run regression based on the precrisis and crisis period sample on investment. Table 7 reports similar findings as table 6. The investment of SMEs during the financial crisis is mostly constrained by cash flows. However, no significant result is evident on the use of bank debt during the financial crisis but during the crisis shows positive relationship with investment. We find that the impact of internal financing is higher than that of external finance, irrespective of the financial environment. During the crisis period, SMEs do not use cash flows for the investment purposes rather use bank finance. This comparative result disapproves our expectation. This suggests that, SMEs’ investment were more affected by the amount of internal finance. In order to keep their desired investment during the crisis, SMEs use more bank debt. 10 Proceedings of Global Business and Finance Research Conference 5-6 May, 2014, Marriott Hotel, Melbourne, Australia, ISBN: 978-1-922069-50-4 Table 7: Financing effect on investment: pre-crisis period compared to crisis period Equation (1) (2) (3) (4) (5) (6) Pre-crisis (2004-2007) Crisis (2008-2012) Cash flow -0.013 -0.018 -0.115*** -0.113*** (-0.47) (-0.64) (-4.19) (-3.99) Bank debt -0.006 -0.007 0.014 0.006 (-0.41) (-0.50) (1.03) (0.44) Size 0.026** 0.026** 0.024* 0.006 0.016 0.007 (2.07) (2.11) (1.88) (0.64) (1.56) (0.73) Age 0.008* 0.008* 0.008* 0.005 0.006 0.005 (1.93) (1.86) (1.82) (1.25) (1.4) (1.28) Growth opportunity 0.207*** 0.207*** 0.207*** 0.248*** 0.244*** 0.247*** (8.86) (8.8) (8.81) (11.98) (11.3) (11.73) Industry effect Yes Yes Yes Yes Yes Yes Intercept -0.092 -0.091 -0.079 -0.010 -0.067 -0.018 (-1.62) (-1.53) (-1.27) (-0.23) (-1.45) (-0.37) Observations 828 826 826 815 815 815 2 Adjusted R 0.248 0.248 0.247 0.371 0.357 0.37 In all regressions, the dependent variable is investment. t-statistics are in the parenthesis. ***, **, and * indicate significance at the 1%, 5% and 10% levels, respectively. 6. Conclusions Financial crisis does not only impact the financial sector, but can also extend to the real economy. This study therefore investigates the impact of financing on investments by using a unique dataset of private firms in the Netherlands. It covers a long time-period (2004-2012) to enable reliable comparison of the conditions prevailing during crisis and non-crisis years. Our results show that the recent financial crisis has not affected the investment of SMEs adversely. SMEs tend to use comparatively more bank debt than internal finance. Overall, the results suggest that investments of SMEs are not vulnerable to variations in the supply of bank credit. Rather investments of SMEs are constrained by the availability of the internal finance. This may have long-term implications for the survival and growth of these firms, which in turn might adversely affect the economy. End Notesii ii http://ec.europa.eu/enterprise/policies/sme/facts-figures-analysis/performancereview/files/countries-sheets/2010-2011/netherlands_en.pdf 11 Proceedings of Global Business and Finance Research Conference 5-6 May, 2014, Marriott Hotel, Melbourne, Australia, ISBN: 978-1-922069-50-4 References Akbar, S., Rehman, S., and Ormrod, P., 2013. The impact of recent financial shocks on the financing and investment policies of UK private firms. International Review of Financial Analysis, 26, 59-70. Akiyoshi, F., and Kobayashi, K. 2010. Banking crisis and productivity of borrowing firms: Evidence from Japan. Japan and the World Economy, 22(3), 141-150 Bae, K., Kang, J., and Lim, C., 2002. The value of durable bank relationships: evidence from Korean banking shocks. Journal of Financial Economics, 64, 181-214. Beck, T., and Demirguc-Kunt, A., and Maksimovic, V., 2008. Financing patterns around the world: are small firms different? Journal of Financial Economics, 89 (3), 467-487. 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