explaining the quality of the business environment issignificant, with a R2 of 0.4889 (See Table VI). Thecombination of variables predicts 50% of the varianceconcerning the quality of the business environment.In support of Hypothesis 1 concerning competitiveisomorphism, the path coefficient between theintensity of competition and the level of corruptionwas positive and significant (b = 0.27, p < .05). Therelationship between the quality of the businessenvironment and the level of corruption was negativeand significant (b = )0.24, p < .05), lendingsupport to Hypothesis 2. Therefore, we support thecoercive isomorphism hypothesis. Furthermore, therelationship between the level of unfair behavior bycompetitors in the financial service industry and thelevel of corruption was positive and significant(b = 0.22, p < .05). Our data supports Hypothesis 3concerning mimetic isomorphism. We also acceptthe H4 hypothesis concerning the link between thepoliticization of the economic activity and the levelof corruption (b = )0.16, p <.05). Our data shows anegative relationship between the politicization ofthe economic activity and the level of corruption.Overall, the basic model shown in Figure 1 andtested using PLS supports the six hypotheses of thisstudy with a R2 of 0.3226. The combination of
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