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Innovation in the Wholesale and Retail Sectors in the Czech Republic 2008-2014

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  • Marek Vokoun

Abstract

This paper focuses on the innovation activities of Czech wholesale and retail companies between 2006 and 2014. Based on data from four Czech Innovation Surveys (2008, 2010, 2012 and 2014), 1,630 observations were made about companies in the trade sector. The subsequent estimations are based on the structural modelling of the innovation process, i.e. decision to innovate, innovation input and innovation output. The size of a company was found to increase the probability of engagement in new-to-the-market innovation, however, no statistically significant relationship could be established for the intensity of innovation input or output. Being part of a group of companies was found to be a positive contributor to innovation activities, in particular in the first stage (decision, R&D input) of the innovation process. Significant differences were also found between the manufacturing and trade sectors in terms of market orientation. Having a national market focus was found to be linked to an increased probability of innovation, with a broader market focus proving not to be a significant factor during the analysed period. The trade sector was also found to engage in more types of innovation activities (processes, logistics and others), whereby the direct link between innovation input and innovation output was found to be in product innovation. Product innovation was also the only type of innovation in this sector which directly contributed to sales of new-to-the market goods and services per employee. However, innovation activities were dampened in times of economic crisis, but only in terms of lower sales of innovated goods and services. The decision to innovate remained on average unchanged in the period 2006-2012.

Suggested Citation

  • Marek Vokoun, 2018. "Innovation in the Wholesale and Retail Sectors in the Czech Republic 2008-2014," Littera Scripta, VSTE, vol. 11(1), pages 145-154, May.
  • Handle: RePEc:rsg:littra:2018-010
    DOI: 10.36708/LS.2018.I01.010
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    1. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. John Sutton, 2001. "Technology and Market Structure: Theory and History," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262692643, December.
    3. Fulvio Castellacci, 2011. "How does competition affect the relationship between innovation and productivity? Estimation of a CDM model for Norway," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 20(7), pages 637-658, August.
    4. Adam J. Fein, 1998. "Understanding evolutionary processes in non-manufacturing industries: Empirical insights from the shakeout in pharmaceutical wholesaling," Journal of Evolutionary Economics, Springer, vol. 8(3), pages 231-270.
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