• Keine Ergebnisse gefunden

The final test is to investigate the full effect of the crisis on export exit. To examine whether the crisis dummy exerts a significant direct effect on export exit after controlling for its indirect impact, we incorporate the crisis dummy on its own along with the interacted terms in Equations 4.4 and 4.5. Results are presented in Tables 4 and 5 (column 6). They show that the crisis has a positive and statistically significant effect on export market exit. More importantly, the inclusion of the dummy does not change the results on the interaction terms.

7 Conclusion

We use firm level data for the UK to investigate the link between firms’ financial health, the borrowing ratio and export exit. In particular, we look at whether firms which face different levels of borrowing ratios react differently to changes in financial variables during crisis and tranquil periods. This may be expected as firms’ real activities are adversely affected by a rise in borrowing costs which provides strong evidence in favour of a monetary policy effect through the changes in the costs of debt servicing.

Our empirical results show that the impact of access to finance on the hazard of export market exit differs is exacerbated during the crisis. In general, changes in the financial status of the firm have a much stronger impact on the risk of export failure during the recent financial crisis than the outside period. Most importantly, we find that increases in debt servicing costs positively affect the likelihood of export exit during the crisis. Firms facing high interest payment obligations are more likely to exit the export market during 2007-09 compared to firms with lower interest payments.

An increase in the number of firms dropping out of export markets during the crisis should be of concern to policy makers. These firms are unlikely to simply re-enter export markets after the crisis, since sunk costs are important for export decisions. Instead, they may behave just like first time exporters, relying on the same export promotion policies as firms that have never exported before.

Appendix

Definitions of the variables

Export exiter: dummy variable equal to 1 if the firm exported in t-1 and t-2 but not in t.

BR: ratio of interest payments to profit and loss after taxes plus depreciation.

BR2: ratio of interest payments to a moving average of three year of data on total debt.

Leverage: ratio of short term debt to total assets.

Liquidity: ratio of current assets less current liabilities to total assets.

Size: logarithm of real total assets.

Age: difference between the present year and the firm’s date of incorporation.

Productivity: labour productivity defined as sales per employee

Exchange Rate: effective exchange rate calculated as a geometric weighted average of bilat-eral exchange rates adjusted by relative consumer prices.

Deflators: all variables are deflated using the industry-specific price of output

References

Aghion, P., Askenazy, P., Berman, N., Cette, G. and Eymard, L. (2012). Credit constraints and the cyclicality of R&Dinvestment: Evidence fromFrance.Journal of the European Economic Association,10, 1001–1024.

Alfaro, L.and Chen, M.(2012). Surviving the global financial crisis: Foreign ownership and establishment performance.American Economic Journal: Economic Policy,4, 30–55.

Alvarez, R. and L´opez, R. (2008). Entry and exit in international markets: Evidence fromChilean data. Review of International Economics, 09, 692–708.

Amiti, M. and Weinstein, D.(2011). Exports and financial shocks. Quarterly Journal of Economics, 126, 1841–1877.

Askenazy, P., Caldera, A., Gaulier, G. and Irac, D.(2011). Financial Constraints and Foreign Market Entries or Exits: Firm Level Evidence from France. Working Paper 328, Banque de France.

Baldwin, R. (1990). Hysteresis in trade. Empirical Economics,15, 127–142.

—and Evenett, S.(2009).The collapse of global trade, murky protectionism, and the cri-sis.Recommendations for the G20. Working paper, Centre for Economic Policy Research.

Bell, V. and Young, G. (2010). Understanding the weakness of bank lending. Quarterly Bulleting Q4, Bank of England.

Bellone, F., Musso, P., Nesta, L. and Schiavo, S. (2010). Financial constraints and firm export behaviour. The World Economy,33, 347–373.

Benito, A. (2005). Financial pressure, monetary policy effects and inventories: Firm-level evidence from a market based and bank based financial system.Economica, 72, 201–224.

—andWhitley, J.(2003).Implicit interest rates and corporate balance sheets: An analysis using aggregate and disaggregated UK data. Working Paper 193, Bank of England.

—andYoung, G.(2007). Financial pressure and balance sheet adjustment by firms.Oxford Bulletin of Economics and Statistics, 69, 581–602.

Berman, N. and Hericourt, J. (2010). Financial factors and the margins of trade: Evi-dence from cross-country firm-level data.Journal of Development Economics,93, 206–217.

Bernanke, B., Gertler, M. and Gilchrist, S. (1996). The financial accelerator and the flight to quality.Review of Economics and Statistics,78, 1–15.

Bernard, A. and Jensen, J. (2004). Entry, expansion, and intensity in the us export boom, 1987-1992.Review of International Economics, 12, 662–675.

Bougheas, S., Mizen, P.andYalcin, C.(2006). Access to external finance: Theory and evidence on the impact of firm-specific characteristics. Journal of Banking and Finance, 30, 199–227.

Bricongne, J., Fontagn, L., Gaulier, G., Taglioni, D. and Vicard, V. (2012).

Firms and the global crisis: French exports in the turmoil. Journal of International Eco-nomics, 87, 134–146.

Chodorow-Reich, G. (2012). The Employment Effects of Credit Market Disruptions:

Firm-level evidence from the 2008-09 financial crisis. Mimeo, UC Bercley.

Chor, D. and Manova, K. (2012). On the cliff and back? Credit conditions and inter-national trade during the global financial crisis. Journal of International Economics, 87, 117–133.

Das, S.,Roberts, M.andTybout, J.(2007). Market entry costs, producer heterogeneity, and export dynamics. Econometrica, 75, 837–873.

Engel, D.,Procherc, V.andSchmidt, C.(2013). Does firm heterogeneity affect foreign market entry and exit symmetrically? Empirical evidence for French firms. Journal of Economic Behavior and Organization, 18, 381397.

Forlani, E.(2010).Liquidity constraints and firm’s export activity. Mimeo, CORE Louvain.

Girma, S., Greenaway, D. and Kneller, R. (2003). Export market exit and perfor-mance dynamcis: A causality analysis of matched firms. Economics Letters, 80, 181–187.

G¨org, H. and Spaliara, M.-E. (2013). Financial health, exports, and firm survival:

Evidence fromUK and French firms. Economica.

Greenaway, D.,Guariglia, A. and Kneller, R.(2007). Financial factors and export-ing. Journal of International Economics, 73, 377–395.

Guariglia, A., Spaliara, M. and Tsoukas, S. (2013). To what extent does the interest burden affect firm survival? Evidence from a panel of UKfirms during the recent financial crisis. Mimeo, University of Glasgow.

Harris, R.and Li, Q.(2011). The determinants of firm exit from exporting: Evidence for the UK.International Journal of the Economics of Business, 18, 381397.

Hiller, S., Schr¨oder, S. and Sørensen, A. (2013). Export market exit and firm sur-vival:Theory and first evidence. Working Paper 262, University of L¨uneburg.

Ilmakunnas, P. and Nurmi, S. (2010). Dynamics of export market entry and exit. Scan-dinavian Journal of Economics, 112, 101–126.

Impullitti, G., Irarrazabal, A. and Opromolla, L. (2013). A theory of entry into and exit from export markets. Journal of International Economics, 90, 75–90.

Ivashina, V. and Scharfstein, D. (2010). Bank lending during the financial crisis of 2008.Journal of Financial Economics, 97, 319–338.

Jenkins, S. (2005). Survival Analysis. Mimeo, University of Essex.

Minetti, R. and Zhu, S. (2011). Credit constraints and firm export: Microeconomic evidence from Italy. Journal of International Economics,83, 109–125.

Muˆuls, M.(2005).Exporters and credit constraints: Afirm level approach. Working Paper 139, National Bank of Belgium.

Nickell, S.andNicolitsas, D.(1999). How does financial pressure affect firms? European Economic Review,43, 1435–1456.

Roberts, M. and Tybout, J. (1997). The decision to export inColombia: An empirical model of entry with sunk costs.American Economic Review, 87, 545–564.

Santos, J. (2011). Bank corporate loan pricing following the subprime crisis. The Review of Financial Studies,24, 1916–1943.

The Economist (2013). Innovative new lenders are easing the credit crunch for British firms. article 8 June.

Wagner, J. (2012). The post-entry performance of cohorts of export starters in German manufacturing industries.International Journal of the Economics of Business,2, 169–193.

WTO (2012).World Trade Technical Report. Tech. rep., World Trade Organization.

Table 1: Summary Statistics

Total Sample Exiter=1 Exiter=0 Diff. Crisis=1 Crisis=0 Diff.

(1) (2) (3) (4) (5) (6) (7)

Leverage 0.374 0.381 0.367 0.000 0.321 0.387 0.000

(0.30) (0.31) (0.30) (0.27) (0.32)

Liquidity 0.143 0.138 0.151 0.000 0.198 0.129 0.000

(0.26) (0.26) (0.29) (0.25) (0.26)

Borrowing Ratio 0.363 0.391 0.339 0.000 0.376 0.308 0.000

(0.37) (0.38) (0.36) (0.38) (0.34)

Size 4.436 4.579 4.311 0.000 4.285 4.475 0.000

(1.38) (1.35) (1.39) (1.29) (1.40)

Age 26.748 27.069 26.470 0.031 28.550 26.278 0.000

(23.71) (24.37) (23.40) (23.44) (23.75)

P roductivity 2.104 2.066 2.137 0.000 2.206 2.078 0.000

(0.85) (0.82) (0.88) (1.14) (0.75)

Exchange 99.099 100.623 97.770 0.000 84.218 102.987 0.000

(11.19) (10.26) (11.78) (9.36) (7.88)

Observations 29,420 11,851 17,569 6,094 23,326

Notes: The table presents sample means. Standard deviations are reported in parentheses. Dif f.is the p-value of the test statistic for the of means.Leveragemeasured as the firm’s short-term debt to assets ratio.Liquidityis defined as the ratio of the firm’s current assets less current liabilities over total assets. Borrowing Ratiois defined as the ratio of interest payments to profit and loss after taxes plus depreciation. Sizeis given by the log of the firm’s real assets measured in thousands of UK sterling. Ageis defined as the difference between the present year and the firm’s date of incorporation. P roductivitydenotes labour productivity defined as sales per employee. Exchangeis the real effective exchange rate. Crisistakes value 1 in the years 2007-2009, and 0 otherwise. The time period is 2000-2009.

Table 2: Baseline Model

Notes: The dependent variable is a dummy equal to one if a firm exits the export market in yeart, and zero otherwise. Robust z-statistics are presented in the parentheses. * significant at 10%; **significant at 5%; *** significant at 1%. Time dummies, industry dummies and regional dummies were included in the model. Table presents the p-values of a test for the equality of the coefficients on liquidity and leverage. Also see notes to Table 1.

Table 3: Borrowing Ratio Liquidity*Crisis(1HBR) -0.455*** -0.552***

(-5.5) (-4.19) Liquidity*(1Crisis)(1HBR) -0.244*** -0.230***

(-3.98) (-4.57) Leverage*(1Crisis)*(1HBR) 0.161*** 0.077**

(2.76) (2.19)

Liquidity(1HBR) 0.039 0.019

LeverageHBR 0.054 0.009

Leverage(1HBR) 0.261 0.225

LiquidityCrisis 0.060 0.053

Liquidity(1Crisis) 0.394 0.016

LeverageCrisis 0.074 0.055

Leverage(1Crisis) 0.271 0.031

Notes: The dependent variable is a dummy equal to one if a firm exits the export market in yeart, and zero otherwise. Robust z-statistics are presented in the parentheses. * significant at 10%; **significant at 5%; *** significant at 1%. Time dummies, industry dummies and regional dummies were included in the model. HBR is a dummy equal to one if the borrowing ratio falls in the top 50% of the borrowing ratio distribution. Table presents the p-values of a test for the equality of the coefficients on the interacted terms. Also see notes to Table 1.

Table 4: Robustness: Baseline Model

Re-define Re-define xtcloglog IV Alternative Full effect

sample exiter crisis of crisis

(1) (2) (3) (4) (5) (6)

Liquidity*Crisis -0.321*** -1.200*** -2.024*** -0.580*** -0.633*** -0.690***

(-3.11) (-6.24) (-4.11) (-4.16) (-5.20) (-7.11) Liquidity*(1Crisis) -0.140*** -0.335*** -0.632*** -0.318*** -0.297*** -0.268***

(-2.86) (-5.47) (-2.60) (-5.97) (-7.63) (-6.71) Leverage*Crisis 0.075 0.503*** 0.905*** 0.387*** 0.288*** 0.257***

(0.82) (3.10) (3.10) (2.58) (2.80) (2.97)

Leverage*(1Crisis) -0.018 0.021 0.283 0.042 0.082*** 0.076**

(-0.46) (0.41) (1.53) (1.02) (2.63) (2.40)

Crisis 1.414***

(5.44)

Size 0.063*** 0.169*** 0.402*** 0.086*** 0.090*** 0.090***

(7.34) (16.65) (6.67) (11.88) (13.56) (13.53)

Age 0.004*** 0.003*** 0.001 -0.001 -0.000 -0.000

(8.96) (6.61) (0.53) (-1.45) (-0.96) (-0.97) P roductivity -0.015 -0.053* -0.033 -0.007 -0.025* -0.024*

(-1.24) (-1.85) (-0.58) (-0.64) (-1.92) (-1.88) Exchange 0.028*** 0.052*** 0.060*** 0.038*** 0.024*** 0.056***

(17.11) (16.10) (8.33) (7.34) (14.41) (8.62) Observations 15,949 29,420 29,420 21,986 29,420 29,420 Test of equality

Liquidity 0.000 0.002 0.007 0.098 0.008 0.000

Leverage 0.000 0.004 0.067 0.025 0.054 0.048

Notes: The dependent variable is a dummy equal to one if a firm exits the export market in yeart, and zero otherwise. Robust z-statistics are presented in the parentheses. * significant at 10%; **significant at 5%; *** significant at 1%. Time dummies, industry dummies and regional dummies were included in the model. Table presents the p-values of a test for the equality of the coefficients on the interacted terms. Columns 1 presents results for a shorter sample of firms that started exporting for the first time in 2000. In columns 2 the dependent variable is re-defined to include only firms which exit the export market definitely.

Columns 3 reports results on the random-effect proportional hazard model. In columns 4 the specification was estimated using instrumental variable technique for probit models. Column 5 reports results based on the 2008-09 crisis period and column 6 includes the crisis dummy on its own and the interactions with leverage and liquidity. Also see notes to Table 1.

Table 5: Robustness: Borrowing Ratio

Re-define Re-define xtcloglog IV Alternative Full effect

sample exiter crisis of crisis

(1) (2) (3) (4) (5) (6)

Liquidity*Crisis*HBR -0.565*** -1.154*** -1.900*** -1.133*** -0.658*** -0.707***

(-4.18) (-4.82) (-3.65) (-4.15) (-4.09) (-5.41) Liquidity*(1Crisis)*HBR -0.112* -0.380*** -0.542** -0.421** -0.328*** -0.306***

(-1.86) (-4.82) (-2.06) (-2.11) (-6.62) (-6.04) Liquidity*Crisis(1HBR) -0.221 -0.624*** -0.958*** -0.516** -0.434*** -0.455***

(-1.48) (-3.65) (-3.64) (-2.36) (-4.12) (-5.5) Liquidity*(1Crisis)(1HBR) -0.125 -0.359*** -0.580* -0.141 -0.277*** -0.244***

(-1.60) (-3.94) (-1.80) (-0.92) (-4.67) (-3.98) Leverage*Crisis*HBR 0.073 0.425** 0.745 0.545*** 0.282** 0.235**

(0.70) (2.17) (1.64) (3.01) (3.15) (3.38)

Leverage*(1Crisis)*HBR -0.056 0.009 0.253 0.254*** 0.092*** 0.089***

(-1.37) (0.18) (1.40) (3.36) (2.80) (2.67)

Leverage*Crisis*(1HBR) -0.054 0.357 0.276 0.178 0.183 0.021

(-0.34) (1.33) (0.39) (0.31) (1.00) (0.14)

Leverage*(1Crisis)*(1HBR) 0.019 -0.540*** -0.073 0.349 0.167*** 0.161***

(0.26) (-5.54) (-0.25) (0.52) (2.94) (2.76)

Crisis 1.519***

(5.52)

Size 0.059*** 0.166*** 0.287*** -0.497*** 0.081*** 0.081***

(6.66) (15.85) (5.59) (-3.02) (11.63) (11.59)

Age 0.004*** 0.004*** -0.000 0.004** -0.001 -0.001

(8.21) (6.68) (-0.14) (2.51) (-1.63) (-1.64)

P roductivity -0.021 -0.037 -0.027 -0.181*** -0.019 -0.018

(-1.56) (-1.31) (-0.47) (-3.27) (-1.38) (-1.34) Exchange 0.028*** 0.051*** 0.058*** 0.064*** 0.024*** 0.024***

(16.37) (15.33) (7.72) (7.04) (13.79) (15.00)

Observations 14,947 27,254 27,254 14,460 27,254 27,254

Test of equality

LiquidityHBR 0.006 0.002 0.032 0.052 0.049 0.004

Liquidity(1HBR) 0.564 0.151 0.065 0.152 0.153 0.039

LeverageHBR 0.248 0.039 0.303 0.082 0.031 0.054

Leverage(1HBR) 0.673 0.001 0.645 0.837 0.912 0.261

LiquidityCrisis 0.082 0.069 0.087 0.075 0.089 0.06

Liquidity(1Crisis) 0.883 0.847 0.917 0.129 0.461 0.394

LeverageCrisis 0.416 0.804 0.493 0.511 0.578 0.074

Leverage(1Crisis) 0.258 0.000 0.214 0.856 0.645 0.271

Notes: The dependent variable is a dummy equal to one if a firm exits the export market in yeart, and zero otherwise. Robust z-statistics are presented in the parentheses. * significant at 10%; **significant at 5%; *** significant at 1%. Time dummies, industry dummies and regional dummies were included in the model. Table presents the p-values of a test for the equality of the coefficients on the interacted terms. Also see notes to Table 1, 3 and 4.

Table A-1: Detailed Statistics of Size Variables

Notes: The table presents the median and the upper and lower quartiles of three size measures.

Table A-2: Correlation Matrix

BR Leverage Liquidity Size Age Productivity Exchange

BR 1.000

Leverage 0.353 1.000

Liquidity -0.265 -0.377 1.000

Size 0.056 0.074 0.013 1.000

Age -0.064 -0.104 0.123 0.193 1.000

P roductivity 0.032 0.037 -0.001 -0.248 -0.054 1.000

Exchange 0.067 0.062 -0.108 0.034 -0.045 -0.059 1.000

Notes: The table presents the correlation coefficients between regressors.

Table A-3: Structure of the unbalanced panel Number of obs. Number of firms Percent Cumulative per firm