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Disentangling Technological Innovations: A Micro-Econometric Analysis of their Determinants

  • Andreas ZieglerEmail author
Chapter
Part of the Sustainability and Innovation book series (SUSTAINABILITY)

Abstract

On the basis of a unique firm-level data set from the German manufacturing sector, this paper empirically examines the determinants of environmental and non-environmental product and process innovations. Our micro-econometric analysis with multivariate probit models points to an extremely high relevance of R&D activities for all technological innovation types as well as to the relevance of a few market pull factors. The estimation results additionally reveal the importance of organizational measures for environmental product and process innovations. In this respect, not only certified environmental management systems, but also specific process- and product-related environmental organizational measures and even general organizational measures such as the certification of a quality management system according to ISO 9001 play a crucial role. Our estimation results therefore suggest the encouragement of firm-internal R&D activities and organizational measures by (environmental) policy in order to stimulate environmental technological innovations, which are able to both limit the environmental burden and contribute to the technological modernization of the economy.

References

  1. Arora, S., & Cason, T. N. (1995). An experiment in voluntary environmental regulation: Participation in EPA’s 33/50 program. Journal of Environmental Economics and Management, 28, 271–286.CrossRefGoogle Scholar
  2. Askildsen, J. E., Jirjahn, U., & Smith, S. C. (2006). Works councils and environmental investment: Theory and evidence from German panel data. Journal of Economic Behavior and Organization, 60, 346–372.CrossRefGoogle Scholar
  3. Baldwin, J., Hanel, P., & Sabourin, D. (2002). Determinants of innovative activity in Canadian manufacturing firms. In A. Kleinknecht & P. Mohnen (Eds.), Innovation and firm performance: Econometric explorations of survey data (pp. 86–111). New York, NY: Palgrave.CrossRefGoogle Scholar
  4. Barney, J. B. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17, 99–120.CrossRefGoogle Scholar
  5. Belin, J., J. Horbach, & Oltra, V. (2011). Determinants and specificities of eco-innovations – An econometric analysis for the French and German industry based on the community innovation survey (Cahiers du GREThA no2011-17).Google Scholar
  6. Böhringer, C., Moslener, U., Oberndorfer, U., & Ziegler, A. (2012). Clean and productive? Empirical evidence from the German manufacturing industry. Research Policy, 41, 442–451.CrossRefGoogle Scholar
  7. Börsch-Supan, A., & Hajivassiliou, V. A. (1993). Smooth unbiased multivariate probability simulators for maximum likelihood estimation of limited dependent variable models. Journal of Econometrics, 58, 347–368.CrossRefGoogle Scholar
  8. Brouwer, E., & Kleinknecht, A. (1996). Firm size, small business presence and sales of innovative products: A micro-econometric analysis. Small Business Economics, 8, 189–201.CrossRefGoogle Scholar
  9. Brouwer, E., & Kleinknecht, A. (1999). Innovative output, and a firm's propensity to patent. An exploration of CIS micro data. Research Policy, 28, 615–624.CrossRefGoogle Scholar
  10. Brouwer, E., Budil-Nadvornikova, H., & Kleinknecht, A. (1999). Are urban agglomerations a better breeding place for product innovation? An analysis of new product announcements. Regional Studies, 33, 541–549.CrossRefGoogle Scholar
  11. Brunnermeier, S. B., & Cohen, M. A. (2003). Determinants of environmental innovation in US manufacturing industries. Journal of Environmental Economics and Management, 45, 278–293.CrossRefGoogle Scholar
  12. Cabagnols, A., & Le Bas, C. (2002). Differences in the determinants of product and process innovations: The French case. In A. Kleinknecht & P. Mohnen (Eds.), Innovation and firm performance: Econometric explorations of survey data (pp. 112–149). New York: Palgrave.CrossRefGoogle Scholar
  13. Carrión-Flores, C. E., & Innes, R. (2010). Environmental innovations and environmental performance. Journal of Environmental Economics and Management, 59, 27–42.CrossRefGoogle Scholar
  14. 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, 53, 335–357.CrossRefGoogle Scholar
  15. Czarnitzki, D., & Kraft, K. (2004). An empirical test of the asymmetric models on innovative activity: Who invests more into R&D, the incumbent or the challenger? Journal of Economic Behavior and Organization, 54, 153–173.CrossRefGoogle Scholar
  16. Flaig, G., & Stadler, M. (1994). Success breeds success. The dynamics of the innovation process. Empirical Economics, 19, 55–68.CrossRefGoogle Scholar
  17. Frondel, M., Horbach, J., & Rennings, K. (2008). What triggers environmental management and innovation? Empirical evidence for Germany. Ecological Economics, 66, 153–160.CrossRefGoogle Scholar
  18. Galende, J., & de la Fuente, J. M. (2003). Internal factors determining a firm’s innovative behaviour. Research Policy, 32, 715–736.CrossRefGoogle Scholar
  19. Geweke, J., Keane, M., & Runkle, D. (1994). Alternative computational approaches to inference in the multinomial model. The Review of Economics and Statistics, 76, 609–632.CrossRefGoogle Scholar
  20. Greene, W. H. (2003). Econometric analysis. New York: Prentice Hall.Google Scholar
  21. Horbach, J. (2008). Determinants of environmental innovation – New evidence from German panel data sources. Research Policy, 37, 163–173.CrossRefGoogle Scholar
  22. Horbach, J., Rammer, C., & Rennings, K. (2012). Determinants of eco-innovations by type of environmental impact – The role of regulatory push/pull, technology push and market pull. Ecological Economics, 78, 112–122.CrossRefGoogle Scholar
  23. Jaffe, A. B., & Palmer, K. (1997). Environmental regulation and innovation: A panel data study. The Review of Economics and Statistics, 79, 610–619.CrossRefGoogle Scholar
  24. Kammerer, D. (2009). The effects of customer benefit and regulation on environmental product innovation: Empirical evidence from appliance manufacturers in Germany. Ecological Economics, 68, 2285–2295.CrossRefGoogle Scholar
  25. Keane, M. (1994). A computationally practical simulation estimator for panel data. Econometrica, 62, 95–116.CrossRefGoogle Scholar
  26. Khanna, M. (2001). Non-mandatory approaches to environmental protection. Journal of Economic Surveys, 15, 291–324.CrossRefGoogle Scholar
  27. Khanna, M., & Damon, L. A. (1999). EPA’s voluntary 33/50 program: Impact on toxic releases and economic performance of firms. Journal of Environmental Economics and Management, 37, 1–25.CrossRefGoogle Scholar
  28. Koehler, D. A. (2007). The effectiveness of voluntary environmental programs – A policy at a crossroads? The Policy Studies Journal, 35, 689–722.CrossRefGoogle Scholar
  29. Lunn, J. (1986). An empirical analysis of process and product patenting: A simultaneous equation framework. The Journal of Industrial Economics, 34, 319–330.CrossRefGoogle Scholar
  30. Martínez-Ros, E., & Labeaga, J. M. (2002). Modelling innovation activities using discrete choice panel data models. In A. Kleinknecht & P. Mohnen (Eds.), Innovation and firm performance: Econometric explorations of survey data (pp. 150–171). New York: Palgrave.CrossRefGoogle Scholar
  31. OECD and Eurostat. (2005). Oslo manual: Guidelines for collecting and interpreting innovation data. Paris: OECD Publishing.CrossRefGoogle Scholar
  32. Porter, M. E., & van der Linde, C. (1995). Toward a new conception of the environment-competitiveness relationship. Journal of Economic Perspectives, 9, 97–118.CrossRefGoogle Scholar
  33. Potoski, M., & Prakash, A. (2005a). Covenants with weak swords: ISO 14001 and facilities' environmental performance. Journal of Policy Analysis and Management, 24, 745–769.CrossRefGoogle Scholar
  34. Potoski, M., & Prakash, A. (2005b). Green clubs and voluntary governance: ISO 14001 and firms’ regulatory compliance. American Journal of Political Science, 49, 235–248.CrossRefGoogle Scholar
  35. Rave, T., Goetzke, F., & Larch, M. (2011). The determinants of environmental innovations and patenting (Ifo Working Paper No. 97).Google Scholar
  36. Rehfeld, K.-M., Rennings, K., & Ziegler, A. (2007). Integrated product policy and environmental product innovations – An empirical analysis. Ecological Economics, 61, 91–100.CrossRefGoogle Scholar
  37. Rennings, K., & Rammer, C. (2009). Increasing energy and resource efficiency through innovation – An explorative analysis using innovation survey data. Czech Journal of Economics and Finance, 59, 442–459.Google Scholar
  38. Rennings, K., & Zwick, T. (2002). The employment impact of cleaner production on the firm level – Empirical evidence from a survey in five European countries. International Journal of Innovation Management, 6, 319–342.CrossRefGoogle Scholar
  39. Rennings, K., Ziegler, A., Ankele, K., & Hoffmann, E. (2006). The influence of different characteristics of the EU environmental management and auditing scheme on technical environmental innovations and economic performance. Ecological Economics, 57, 45–59.CrossRefGoogle Scholar
  40. Wagner, M. (2007). On the relationship between environmental management, environmental innovation and patenting: Evidence from German manufacturing firms. Research Policy, 36, 1587–1602.CrossRefGoogle Scholar
  41. Wagner, M. (2008). Empirical influence of environmental management on innovation: Evidence from Europe. Ecological Economics, 66, 392–402.CrossRefGoogle Scholar
  42. Wätzold, F., & Bültmann, A. (2001). The implementation of EMAS in Europe: A case of competition between standards for environmental management systems. In M. Glachant (Ed.), Implementing European environmental policy – The impacts of directives in the member states (pp. 134–177). Northampton, MA: Edward Elgar.Google Scholar
  43. Wernerfelt, B. (1984). A resource-based view of the firm. Strategic Management Journal, 5, 171–180.CrossRefGoogle Scholar
  44. White, H. (1982). Maximum likelihood estimation of misspecified models. Econometrica, 50, 1–25.CrossRefGoogle Scholar
  45. Ziegler, A. (2007). Simulated classical tests in multinomial probit models. Statistical Papers, 48, 655–681.CrossRefGoogle Scholar
  46. Ziegler, A., & Seijas Nogareda, J. (2009). Environmental management systems and technological environmental innovations: Exploring the causal relationship. Research Policy, 38(5), 885–893.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of EconomicsUniversity of KasselKasselGermany

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