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The Impact of Credit Rating on Innovation in a Two-Sector Evolutionary Model

Pascal Aßmuth ()

Computational Economics, 2018, vol. 52, issue 3, 839-872

Abstract: Abstract Empirical evidence shows that innovative firms are often more constrained in obtaining external funds than less innovative firms. Explanations are based on the uncertain outcome and high costs of R&D effort. When providing credit, the lender assesses the creditworthiness of the borrower. She relies on financial data and market analysis. The financial data analysis reveals costs and the market outlook is linked to the uncertainty of future profitability. In this paper we examine whether the credit assessment behaviour of banks hurts firms of a more innovative sector more and how this affects long term innovative success and economic development. We use an evolutionary approach à la Nelson and Winter but with two sectors. A bank provides credit and supplies it to single firms based on a rating. We illuminate the impact of rating process characteristics on the long term outcome. When the bank does not distinguish for sector-specific features, such as risk and market outlook, the high-tech sector benefits over-proportionally because the surviving firms have a high profitability and further innovations are more likely. The way that the bank forms expectations about the market outlook influences the allocation of credit between sectors. The innovative sector is supplied more credit if the market outlook is assessed in a rather conservative fashion. The impact on aggregates however, is limited because the bank uses other pieces of information as well.

Keywords: Innovation; Financial constraints; Industrial evolution (search for similar items in EconPapers)
JEL-codes: G32 O16 O33 (search for similar items in EconPapers)
Date: 2018
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