• International Journal of Technology (IJTech)
  • Vol 13, No 2 (2022)

Credit Constraints and Innovation Activities: Empirical Evidence on Russian Enterprises

Credit Constraints and Innovation Activities: Empirical Evidence on Russian Enterprises

Title: Credit Constraints and Innovation Activities: Empirical Evidence on Russian Enterprises
Ali Maarouf, Olga N. Korableva

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Published at : 01 Apr 2022
Volume : IJtech Vol 13, No 2 (2022)
DOI : https://doi.org/10.14716/ijtech.v13i2.4835

Cite this article as:
Maarouf, A., Korableva, O.N., 2022. Credit Constraints and Innovation Activities: Empirical Evidence on Russian Enterprises. International Journal of Technology. Volume 13(2), pp. 254-263

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Ali Maarouf St. Petersburg State University, 199178 St. Petersburg, Russia
Olga N. Korableva St. Petersburg State University, 199178 St. Petersburg, Russia.
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Abstract
Credit Constraints and Innovation Activities: Empirical Evidence on Russian Enterprises

This article studies the relationship between the credit constraints on Russian enterprises and their decision to introduce product innovation, process innovation, and to spend on research and development (R&D). The evidence regarding the relationship between R&D spending remains somewhat ambiguous and could differ between countries. A cross-sectional macro dataset of the World Bank Enterprises Survey in Russia in 2019 is used in a system of seemingly unrelated regressions. The results show that the existence of credit constraints is associated with a lower probability of introducing product innovations and spending on R&D activities. Nevertheless, there is no significant relationship between being credit constrained and the enterprise decision to introduce process innovations. The importance of this article stems from the fact that previous works showed that these relationships differ by country and that these relationships are considered simultaneously, while other works concentrate mainly on one of these relationships.

Credit constraints; Financial constraints; Innovation activities; Research and development; World Bank Enterprises Survey

Introduction

Innovation activity is considered to be one of the main drivers of economic growth on the national level (Aghion et al., 2009; Solow, 1957). Innovations are of great importance for company growth and competitiveness. Companies develop new products and processes or improve old ones to maintain and increase their productivity and market share (Berawi, 2016, 2017; Dabla-Norris et al., 2012; Leland & Pyle, 1977). However, many factors could hinder investment in innovation activities, particularly in R&D activities. Innovation projects require high sunk costs, especially projects containing R&D activities that could require large investments in their initial stages (Alderson & Betker, 1996). In addition to research activities, numerous other activities are necessary to develop new products and release them to the market, which creates a large time lag between investing in these projects and starting to get a return on such investments. This time lag discourages banks from giving companies credit to finance their innovative projects (Bakker, 2013).

Other factors that hamper investing in innovation activities include the inherent high level of uncertainty in such projects. Many technological, strategic, and market factors lead to uncertainty. Innovative companies do not have enough information about the activities of their rival companies or about the readiness of the market to accept their new products (Spielkamp & Rammer, 2009). Innovation projects usually result in intangible assets, for instance, patents, utility models, or even the new knowledge and experience of the company personnel. Such assets cannot be used as collateral to obtain credit from banks (Hall, 1992). Additionally, different participants in the innovation activities have a different level of information about the innovation itself, which leads to the problem of asymmetric information. The company management or innovators have more information about their new products than investors. Innovators also tend not to reveal many details about their innovation because of the appropriability problem whereby other rival companies could benefit from this information (Leland & Pyle, 1977). As a result, the problem of asymmetric information discourages investors from participating in innovative projects (West, 2004).

The aforementioned factors lead to constraining the access of innovative companies to external financial resources. Thus, constrained companies tend to reduce or stop their investment in innovation activities, which influences their competitiveness and productivity. It is worth mentioning that the boom in R&D spending in the USA in the 1990s can be attributed to a shift in the supply of finance (Brown et al., 2009). Therefore, the underinvestment of a huge number of companies in innovation activities could influence the innovation development of the country and its economic growth (Brown et al., 2012).
    This paper aims to analyze the mutual relationships between credit constraints and the enterprise decision to introduce product innovation, process innovation, and to spend on R&D internally or externally. The relevant scientific literature concentrates on the relationship between financial constraints and R&D spending or between financial constraints and product innovation in particular. The importance of this work stems from two facts. First, the considered relationships are significantly different by country, and it is important to study these relationships in the context of an emerging economy like Russia, where credit financing is considered to be the main external financial resource for  Russian enterprises (Guriev et al., 2004). Second, this paper considers the relationship between credit constraints and the enterprise decision to introduce product innovation and process innovation and to spend on R&D simultaneously. Thus, it will be possible to compare the significance and magnitude of these three relationships.


Conclusion

Applying a system of simultaneous seemingly unrelated regressions led to the conclusion that credit constraints are negatively correlated with the decision of the company to introduce new products or to spend on R&D internally or externally. Such a relationship has not been observed between credit constrained and introducing process innovation. The development of new products and spending on R&D activities require large investments from enterprises. Financially constrained enterprises may not have enough resources to invest in such activities. Meanwhile, the enterprise decision to introduce process innovation, which needs less investment, is not correlated with credit constraints. It is worth noting that the correlations between credit constraints and both product innovation and R&D spending are of the same size, while not all enterprises that introduced a product innovation decided to spend on R&D. This means that the existence of financial constraints led companies to avoid activities that require high investments or that associated with high risks. Process innovations are less risky and do not require large investments, so the enterprise can introduce them whether or not it is constrained.

      These results have many policy implications, especially considering the notion that credit finance is not vital for innovation activities. Government endeavors should be evenly directed to support enterprises’ access to external financial resources in order to increase their ability to spend on R&D and to introduce product innovations. This support should be directed evenly to help enterprises to develop new products and to engage in R&D activities such that enterprises under credit constraints are equally inclined to undertake such activities. Among the main limitations of this work was the absence of panel data to consider the relationships over time and to check the causality relationship. Is there only a correlation between credit constraints, product innovation, process innovation, and R&D spending? Or does limited access to external financial resources lead companies to decide not to introduce new product innovations and not to spend on R&D?

References

Aghion, P., Blundell, R., Griffith, R., Howitt, P., Prantl, S., 2009. The Effects of Entry on Incumbent Innovation and Productivity. Review of Economics and Statistics, Volume 91(1), pp. 20–32

Alderson, M.J., Betker, B.L., 1996. Liquidation Costs and Accounting Data. Financial Management, Volume 25(2), pp. 25–36

Altomonte, C., Gamba, S., Mancusi, M.L., Vezzulli, A., 2016. R&D Investments, Financing Constraints, Exporting and Productivity. Economics of Innovation and New Technology, Voulme 25(3), pp. 283–303

Álvarez, R., Crespi, G.A., 2015. Heterogeneous Effects of Financial Constraints on Innovation: Evidence from Chile. Science and Public Policy, Volume 42(5), pp. 711–724

Bakker, G., 2013. Money for Nothing: How Firms Have Financed R&D Projects Since the Industrial Revolution. Research Policy. Volume 42(10), pp. 1793–1814

Berawi, M.A., 2017. Stimulating Innovation and Creativity: The Way Forward. International Journal of Technology, Volume 8(1), pp. 1–4

Berawi, M.A., 2016. Value-Based Innovation: Knowledge and Technology Transfer in Triple Helix Model. International Journal of Technology, Volume 7(1), pp. 1–4

Bigsten, A., Collier, P., Dercon, S., Fafchamps, M., Gauthier, B., Gunning, J.W., Oduro, A., Oostendorp, R., Patillo, C., Söderbom, M., Teal, F., Zeufack, A., 2003. Credit Constraints in Manufacturing Enterprises in Africa. Journal of African Economics, Volume 12(1), pp. 104–125

Bond, S., Harhoff, D., Van Reenen, J., 2005. Investment, R&D and Financial Constraints in Britain and Germany. Annales d’Économie et de Statistique, Volume 79/80, pp. 433–460

Borisova, G., Brown, J.R., 2013. R&D sensitivity to asset sale proceeds: New evidence on financing constraints and intangible investment. Journal of Banking & Finance, 37(1), pp.159-173

Bottazzi, G., Secchi, A., Tamagni, F., 2014. Financial Constraints and Firm Dynamics. Small Business Economics, Volume 42, pp. 99–116

Brown, J.R., Fazzari, S.M., Petersen, B.C., 2009. Financing Innovation and Growth: Cash Flow, External Equity, and the 1990s R&D Boom. Journal of Finance, Volume 64(1), pp. 151–185

Brown, J.R., Martinsson, G., Petersen, B. C., 2012. Do Financing Constraints Matter for R&D? European Economic Review, Volume 56(8), pp. 1512–1529

Canepa, A., Stoneman, P., 2008. Financial Constraints to Innovation in the UK: Evidence from CIS2 and CIS3. Oxford Economic Papers, Volume 60(4), pp. 711–730

Cincera, M., Ravet, J., Veugelers, R., 2016. The sensitivity of R&D investments to cash flows: comparing young and old EU and US leading innovators. Economics of Innovation and new technology, 25(3), pp.304-320

Czarnitzki, D., 2006. Research and Development in Small and Medium-Sized Enterprises: The Role of Financial Constraints and Public Funding. Scottish Journal of Political Economy, Volume 53(3), pp. 335–357

Czarnitzki, D., Hottenrott, H., 2010. Financing Constraints for Industrial Innovation: What Do We Know? Review of Business and Economics, pp. 1–23

Czarnitzki, D., Hottenrott, H., 2011. R&D Investment and Financing Constraints of Small and Medium-Sized Firms. Small Business Economics, Volume 36, pp. 65–83

Dabla-Norris, E., Kersting, E.K., Verdier, G., 2012. Firm Productivity, Innovation, and Financial Development. Southern Economic Journal, Volume 79(2), pp. 422–449

Evangelista, R., 2006. Innovation in the European Service Industries. Science and Public Policy, Volume 33(9), pp. 653–668

Fazzari, S.M., Hubbard, R.G., Petersen, B.C., Blinder, A.S., Poterba, J.M., 1988. Financing Constraints and Corporate Investment. Brookings Papers on Economic Activity, Volume 1988(1), pp. 141–206

Gorodnichenko, Y., Schnitzer, M., 2013. Financial Constraints and Innovation: Why Poor Countries Don’t Catch Up. Journal of the European Economic Association, Volume 11(5), pp. 1115–1152

Guriev, S., Lazareva, O., Rachinsky, A., Tsukhlo, S., 2004. Corporate Governance in Russian Industry. Problems of Economic Transition, Volume 47(3), pp. 6–83

Hall, B.H., 1992. Investment and Research and Development at the Firm Level: Does the Source of Financing Matter? National Bureau of Economic Research Working Paper Series.

Hall, B.H., Moncada-Paternò-Castello, P., Montresor, S., Vezzani, A., 2016. Financing Constraints, R&D Investments and Innovative Performances: New Empirical Evidence at the Firm Level for Europe. Economics of Innovation and New Technology, Volume 25(3), pp. 183–196

Hansen, H., Rand, J., 2014. The Myth of Female Credit Discrimination in African Manufacturing. Journal of Development Studies, Volume 50(1), pp. 81–96

Hottenrott, H., Peters, B., 2012. Innovative Capability and Financing Constraints for Innovation: More Money, More Innovation? Review of Economics and Statistics, Volume 94(4), pp. 1126–1142

Kaplan, S.N., Zingales, L., 1997. Do Investment-Cash Flow Sensitivities Provide Useful Measures of Financing Constraints? Quarterly Journal of Economics, Volume 112(1), pp. 169–215

Leland, H.E., Pyle, D.H., 1977. Informational Asymmetries, Financial Structure, and Financial Intermediation. The Journal of Finance, Volume 32(2), pp. 371–378

Lööf, H., Nabavi, P., 2016. Innovation and Credit Constraints: Evidence from Swedish Exporting Firms. Economics of Innovation and New Technology, Volume 25(3), pp. 269–282

Moyen, N., 2004. Investment-Cash Flow Sensitivities: Constrained Versus Unconstrained Firms. Journal of Finance, Volume 59(5), pp. 2061–2092

OECD/Eurostat, 2018. Oslo Manual 2018: Guidelines for Collecting. Reporting and Using Data on Innovation, 4th Edition, The Measurement of Scientific, Technological and Innovation Activities, OECD Publishing, Paris/Eurostat, Luxembourg.

Piga, C.A., Atzeni, G., 2007. R&D Investment, Credit Rationing and Sample Selection. Bulletin of Economic Research, Volume 59(2), pp. 149–178

Savignac, F., 2008. Impact of Financial Constraints on Innovation: What Can Be Learned from a Direct Measure? Economics of Innovation and New Technology, Volume 17, pp. 553–569

Solon, G., Haider, S.J., Wooldridge, J., 2013. What are We Weighting For? National Bureau of Economic Research, Volume 50(2), pp. 301–316

Solow, R.M., 1957. Technical Change and the Aggregate Production Function. The Review of Economics and Statistics, Volume 39(3), pp. 312–320

Spielkamp, A., Rammer, C., 2009. Financing of Innovations–Thresholds and Options. Management & Marketing, Volume 4(2), pp. 3–18

Sun, S., 2020. Financial Constraints and Likelihood of Product Innovation: Firm-level Evidence from China. SSRN Electronic Journal.

Tiwari, A.K., Mohnen, P., Palm, F.C., Van der Loeff, S. S., 2008. Financial Constraint and R&D Investment: Evidence from CIS. Determinants of Innovative Behaviour: A Firm’s Internal Practices and Its External Environment, Volume 31, pp. 217–242

Wellalage, N.H., Locke, S., 2016. Informality and Credit Constraints: Evidence from Sub-Saharan African MSEs. Applied Economics, Volume 48(29), pp. 2756–2770

West, J., 2014. Financing Innovation: Markets and the Structure of Risk. Growth, Volume 53, pp. 12–34

World Bank, 2019. Russian Federation - Enterprise Survey (ES) 2019. Available Online at https://www.enterprisesurveys.org/portal/login.aspx, Accessed on March 2, 2021 

Zellner, A., 1962. An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias. Journal of the American Statistical Association, Volume 57(298), pp. 348–368

Zellner, A., 1963. Estimators for Seemingly Unrelated Regression Equations: Some Exact Finite Sample Results. Journal of the American Statistical Association. Volume 58(304), pp. 977–992

Zhang, D., 2020. Capacity Utilization Under Credit Constraints: A Firm-level study of Latin American Manufacturing. International Journal of Finance and Economics, pp. 1–20

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Table of Contents
Article
Abstract
Introduction
Conclusion
References