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Challenges in the Era of Globalization - iaabd

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Proceed<strong>in</strong>gs <strong>of</strong> <strong>the</strong> 12th Annual Conference © 2011 IAABD<br />

reveals that <strong>the</strong> markets are <strong>in</strong> equilibrium 2 -hence <strong>in</strong> <strong>the</strong> long run, return on assets is correlated with <strong>in</strong>put<br />

prices. Aga<strong>in</strong>, <strong>the</strong> PR H-statistic (0.67) shows that banks <strong>in</strong> Africa as a whole operate <strong>in</strong> an environment<br />

characterized by monopolistic competition. In table 2, <strong>the</strong> coefficients <strong>of</strong> <strong>in</strong>put price <strong>of</strong> fund (PF) labour,<br />

(PL) and Capital (PK) record positive and statistically significant results. This <strong>in</strong>dicates that <strong>the</strong> <strong>in</strong>put<br />

prices positively <strong>in</strong>fluence total revenue <strong>of</strong> banks <strong>in</strong> Africa. Expectedly, <strong>the</strong> ratio <strong>of</strong> loan to total asset<br />

enters <strong>the</strong> regression positively significant. It suggests that higher proportion <strong>of</strong> loans relative to asset <strong>of</strong> a<br />

bank would be expected to generate higher revenue. Bank size does seem to impact negative <strong>in</strong>fluence on<br />

bank revenue from this result unlike bank capitalization ratio. Above all, <strong>the</strong> monopolistic competitive<br />

market structure suggests that <strong>the</strong>re is an element <strong>of</strong> product differentiation among banks, some degree <strong>of</strong><br />

market power over pric<strong>in</strong>g and low entry barriers. We <strong>the</strong>n turn our focus to explor<strong>in</strong>g <strong>the</strong> factors<br />

accountable for <strong>the</strong> competitive bank behaviour <strong>in</strong> Africa.<br />

Pool Sample Regression Results<br />

Table 2 H-statistic <strong>of</strong> Bank<strong>in</strong>g System <strong>in</strong> Africa. Pooled sample Result<br />

Ln(TRETA) Ln (ROA+1)<br />

Variable Β t-statistic Β t-statistic<br />

Ln(PF) 0.3362 15.48*** 0.0014 2.13*<br />

Ln (PL) 0.2600 9.61*** 0.0026 3.04**<br />

Ln(PK) 0.0741 5.13*** 0.0004 0.69<br />

Ln (TA) -0.0129 -2.15* -0.0011 -5.28***<br />

Ln (Equity/Ta) 0.0085 0.47 0.0014 2.04*<br />

Ln (Loan/TA) 0.1243 4.37*** -0.0056 -4.57***<br />

Constant -0.1511 -1.28 1.0398 315.46***<br />

No. <strong>of</strong> Obs 1560 1507<br />

H-statistic 0.67 0.0042<br />

Note. *, ** and *** significant at 10%, 5% and 1% levels, respectively. Regressions were estimated us<strong>in</strong>g<br />

heteroskedastic panels corrected standard errors<br />

Factors Expla<strong>in</strong><strong>in</strong>g Competitive Bank Behaviour<br />

From table 3, <strong>the</strong> relationship between pr<strong>of</strong>itability measure, net <strong>in</strong>terest marg<strong>in</strong>, and competitive measure<br />

is negative and statistically significant. This <strong>in</strong>dicates that banks which are able to reap high pr<strong>of</strong>it do so<br />

<strong>in</strong> an environment characterized by monopolistic competition. Alternatively, it shows that high bank<br />

spreads are characteristic <strong>of</strong> concentrated bank<strong>in</strong>g markets.<br />

2 Test <strong>of</strong> equilibrium provides p-values 0.0002 which is less than 1%.<br />

38

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