Using a recursive bivariate probit model and survey data covering the period 2014–2018, the present paper aims to assess which factors in the financial market (supply side) have a higher impact on firms’ likelihood to be financially constrained. The results show that after controlling for potential endogenous bias due to unobservable firm characteristics, being an innovative firm increases the probability of being financially constrained between 21 and 32%. The nature of the innovation strategy also seems to influence the severity of financing constraints. For financially constrained firms, the main factors that limit future financing for growth ambitions are the lack of collateral, bureaucracy, and too high a price. Findings also indicate that measures to facilitate equity investments and making existing public measures easier are the most important factors for future financing while tax incentives only play a minor role.
Studies have demonstrated that public policies to support private firms' investment have the ability to promote entrepreneurship, but the sustainability of subsidized firms has not often been analysed. This paper aims to examine this dimension specifically through evaluating the mortality of subsidized firms in the long-term. The analysis focuses on a case study of the LEADER+ Programme in the Alentejo region of Portugal. With this purpose, the paper examines the activity status (active or not active) of 154 private, rural, for-profit firms in Alentejo that had received a subsidy to support investment between 2002 and 2008 under the LEADER+ Programme. The methodology is based on binary choice models in order to study the probability of these firms still being active.The explanatory variables used are the following: (1) the characteristics of entrepreneurs and managers' strategic decisions, (2) firm profile and characteristics, (3) regional economic environment. Data assessment showed that the cumulative mortality rate of firms on 31st December 2013 is over 20 %.Interpretation of the regression model revealed that the probability of firms' survival increases with higher investment, firm age and regional business concentration, whereas the number of applications made by firms has a negative impact on their survival. So it seems that for subsidized firms the amount of investment is as important as its frequency.
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