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A note on approximation of distribution function for the number of innovation activities

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Abstract

This note attempts to approximate the distribution function for the number of innovation activities (NIA) in the manufacturing sector using the dataset of 2002 Korean Innovation Survey. The mixture model applied here can easily capture the bimodality feature of the NIA distribution and provide some useful information such as the mean of NIA and the effect of a firm’s characteristic on whether the firm will undertake innovation activity.

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References

  • Becker, W., Dietzl, J. (2004), R&D cooperation and innovation activities of firms: evidence for the German manufacturing industry, Research Policy, 33: 209–223.

    Article  Google Scholar 

  • Cesaratto, S., Mangano, S., Sirilli, G., (1991), The innovative behavior of Italian firms: A survey on technological innovation and R&D, Scientometrics, 21: 115–141.

    Article  Google Scholar 

  • De Oliveira Cabral, J. E. (1998), Survey on technological innovative behavior in the Brazilian food industry, Scientometrics, 42: 129–169.

    Article  Google Scholar 

  • Krinsky, I., Robb, A. L. (1986), On approximating the statistical properties of elasticities, Review of Economics and Statistics, 68: 715–719.

    Article  Google Scholar 

  • Morduch, J. J., Stern, H. S. (1997), Using mixture model to detect sex bias in health outcomes in Bangladesh, Journal of Econometrics, 77: 259–276.

    Article  MATH  Google Scholar 

  • OECD, (1997), Oslo Manual: Proposed Guidelines for Collecting and Interpreting Technological Innovation Data, Paris.

  • OECD, European Communities (2005), Oslo Manual: Proposed Guidelines for Collecting and Interpreting Technological Innovation Data, 3rd edition, Paris.

  • Radosevic, S., Auriol L. (1998), Measuring S&T activities in the Former Socialist Economies of Central and Eastern Europe: Conceptual and methodological issues in linking past with present, Scientometrics, 42: 273–297.

    Article  Google Scholar 

  • Science and Technology Policy Institute (2002), Korean Innovation Survey 2002: Manufacturing Sector, Seoul, Korea.

  • Uzun, A. (2001), Technological innovation activities in Turkey: the case of manufacturing industry, 1995–1997, Technovation, 21: 189–196.

    Article  Google Scholar 

  • Yoo, S.-H. (2004), A note on an approximation of the mobile communications expenditures distribution function using a mixture model, Journal of Applied Statistics, 31: 747–752.

    Article  MATH  MathSciNet  Google Scholar 

Download references

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Authors and Affiliations

  1. Department of International Area Studies, Hoseo University, Chungnam, Republic of Korea

    Seung-Hoon Yoo

  2. H. John Heinz III School of Public Policy & Management, Carnegie Mellon University, Pittsburgh, USA

    Hye-Seon Moon

  3. Department of International Area Studies, Hoseo University, 268 Anseo-Dong, Cheonan, Chungnam, 330-713, Republic of Korea

    Seung-Hoon Yoo

Authors
  1. Seung-Hoon Yoo
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  2. Hye-Seon Moon
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Correspondence to Seung-Hoon Yoo.

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Yoo, SH., Moon, HS. A note on approximation of distribution function for the number of innovation activities. Scientometrics 77, 445–452 (2008). https://doi.org/10.1007/s11192-008-1802-8

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  • DOI: https://doi.org/10.1007/s11192-008-1802-8

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