Determinants of Technological Innovation of Photonics Industry in Korea: Focus on regional differences
0
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
Technological innovation is a key driver of firm survival and prosperity in a competitive market. Though most economists consider the determinants of technological innovation as firm-level activities, concentrations of innovative performance within particular regions have been observed almost everywhere. We examine if performance of technological innovation for photonics industry in Korea will be affected by different regions as well as firm specific factors. By applying Heckman’s selection model, we found that specific regions such as Gwangju and Honam region have significant effects on the probability of obtaining patents, but there is no significant evidence that the location on specific regions increases the number of patents. On the contrary, firms with main plants in the SMA have not only significantly lower chances of obtaining patents but also produce significantly fewer patents than do firms in other regions. The analysis also found that the R&D spending–capital ratio, total employment–capital ratio of firms, and firm location in metropolitan cities are all positively related to the number of patents. As a policy implication, more active cooperation between the R&D cluster and the surrounding firms will be required to enhance the technology diffusion effects from the R&D cluster to innovative activity of the firms. This paper contributes relevant literature by showing empirically that regional location is an important determinant of technological innovation for photonics firms.
Abstract
Technological innovation is a key driver of firm survival and prosperity in a competitive market. Though most economists consider the determinants of technological innovation as firm-level activities, concentrations of innovative performance within particular regions have been observed almost everywhere. We examine if performance of technological innovation for photonics industry in Korea will be affected by different regions as well as firm specific factors. By applying Heckman’s selection model, we found that specific regions such as Gwangju and Honam region have significant effects on the probability of obtaining patents, but there is no significant evidence that the location on specific regions increases the number of patents. On the contrary, firms with main plants in the SMA have not only significantly lower chances of obtaining patents but also produce significantly fewer patents than do firms in other regions. The analysis also found that the R&D spending–capital ratio, total employment–capital ratio of firms, and firm location in metropolitan cities are all positively related to the number of patents. As a policy implication, more active cooperation between the R&D cluster and the surrounding firms will be required to enhance the technology diffusion effects from the R&D cluster to innovative activity of the firms. This paper contributes relevant literature by showing empirically that regional location is an important determinant of technological innovation for photonics firms.
참고문헌 (51)
- Acs, Zoltan J., "Innovation in Large and Small Firms : An Empirical Analysis", The American Economic Review, 78(4), pp.678~690 (1988)
- Andrews, D., "Cross section regression with common shocks", Econometrica, 73, pp.1551~1585 (2005)
- Archibugi, D., "Patenting as an indicator of technological innovation : a review", Science and Public Policy, 19, pp.357~368 (1992)
- Audretsch, D., "Innovative clusters and the industry life cycle", Review of Industrial Organisation, 11, pp.253~257 (1996)
- 배창환, "테크노파크 입주 기술창업기업 성과 영향요인 연구", 산업혁신연구, 34(1), pp.1~30 (2018), 산업개발연구소[DOI]
- Education for Innovation : Entrepreneurial Breakthroughs vs. Corporate Incremental Improvements, "Baumol, W. J.", NBER, 1~36, pp.NBER Working Paper 10578 (2004)
- Berliant, M., "Efficient allocations in club economies", Public Economic Theory, 6(1), pp.43~63 (2004)
- Beugelsdijk, S., "The Regional Environment and a Firm's Innovative Performance : A Plea for a Multilevel Interactionist Approach", Economic Geography, 83(2), pp.181~199 (2007)
- Individual effects and dynamics in count data models, "Blundell, R.", Institute for Fiscal Studies, ~, pp.Working Paper 95 (1995), 15
- Brouwer, E., "Are urban agglomera-tions a better breeding place for product innovation? An analysis of new product announcements", Regional Studies, 33, pp.541~550 (1999)
- Buesa, M., "The determinants of regional innovation in Europe : A combined factorial and regression knowledge production function approach", Research Policy, 39, pp.722~735 (2010)
- Bushway, S., "Is the Magic Still There? The use of the Heckman two-step correction for selection bias in Criminology", Journal of Quantitative Criminology, 23(2), pp.151~178 (2007)
- Carlino, G.A., "Urban density and the rate of invention", Journal of Urban Economics, 61, pp.389~419 (2007)
- Large Panel Data Models with Cross-Sectional Dependence : A Survey, "Chudik, A.", ~, pp.Working Paper 153 (2013)
- Ciccone, A., "Productivity and the density of economic activity", American Economic Review, 86, pp.54~70 (1996)
- Cincera, M., "Patents, R&D, and Technological Spillovers at the Firm Level : Some Evidence from Econometric Count Models for Panel Data", Journal of Applied Econometrics, 12(3), pp.265~280 (1997)
- Feldman, M. P., "Innovation in cities : Science-based diversity, specialization and localized competition", European Economic Review, 43, pp.409~429 (1999)
- Freeman, C. H., "The handbook of industrial innovation", pp.78~93 (1994), Edward Elgar
- Grabowski, H. G., "The Determinants of Industrial Research and Development : A Study of the Chemical, Drug, and Petroleum Industries", Journal of Political Economy, 76(2), pp.292~306 (1968)
- Greene, W., "Econometric Analysis" (2008), Pearson International Edition
- Griliches, Z., "Patent statistics as economic indicators : a survey", Journal of Economic Literature, 28, pp.1661~1707 (1990)
- Hall, Bronwyn H., "The Patent Paradox Revisited : An Empirical Study of Patenting in the U. S. Semiconductor Industry, 1979-1995", The RAND Journal of Economics, 32(1), pp.101~128 (2001)
- Hausman, J., "Econometric models for count data with an application to the patents-R&D relationship", Econometrica, 52, pp.909~938 (1984)
- Hausman, J., "Patents and R&D: is there a lag?", International Economic Review, 27, pp.265~283 (1986)
- Heckman, J., "Sample Selection Bias as a Specification Error", Econometrica, 47(1), pp.153~161 (1979)
- Heckman, J., "Varieties of Selection Bias", The American Economic Review, 80(2), pp.313~318 (1990)
- Helsley, R., "Innovation and Input Sharing", Journal of Urban Economics, 51(1), pp.25~45 (2002)
- Howe, J. D., "The determinants of R&D expenditures", The Canadian Journal of Economics, 9(1), pp.57~71 (1976)
- Kanemoto, Y., "Urban Dynamics and Urban Externalities" (1987), Harwood Academic Publishers
- 강원석, "R&D Investment Game Strategies Revisited by Decision-Tree with R&D Incentives", 산업혁신연구, 34(1), pp.127~161 (2018), 산업개발연구소[DOI]
- Current status and development strategy for photonics industry, "Kim, D. K.", Honam Leading Indstry Office, ~ (2011)
- "Classficiation of firm size" (2014)[URL]
- Kyriazidou, E., "Estimation of a Panel Data Sample Selection Model", Econometrica, 65(6), pp.1335~1364 (1997)
- Lunn, J., "An Empirical Analysis of Process and Product Patenting : A Simultaneous Equation Framework", The Journal of Industrial Economics, 34(3), pp.319~330 (1986)
- Mankiw, N. G., "A contribution to the empirics of economic growth", The Quarterly Journal of Economics, pp.407~437 (1992)
- Mansfield, E., "Patents and innovation : an empirical study", Management Science, 32(2), pp.173~181 (1986)
- Marshall, A., "Principles of Economics" (1895), Macmillan
- Matsuyama, K., "Self-Defeating Regional Concentration", The Review of Economic Studies, 65(2), pp.211~234 (1998)
- Montalvo, J. G., "Patents and R&D at the firm level : a new look", Revista Espanola de Economia, pp.67~81 (1993)
- OhUallachain, B., "Patent places : Size matters", Journal of Regional Science, 39, pp.613~636 (1999)
- Pavitt, K., "Sectoral patterns of technical change: towards a taxonomy and theory", Research Policy, 13, pp.343~373 (1984)
- General diagnostic tests for cross section dependence in panels, "Pesaran, M. H.", University of Cambridge, Faculty of Economics, ~, pp.Cambridge Working Papers in Economics No. 0435 (2004)
- Phillips, P. C. B., "Dynamic panel estimation and homogeneity testing under cross section dependence", The Econometrics Journal, 6, pp.217~259 (2003)
- Phillips, P. C. B., "Bias in dynamic panel estimation with fixed effects, incidental trends and cross section dependence", Journal of Econometrics, 137, pp.162~188 (2007)
- 노영진, "산업기술 분야 정부 연구개발투자의 성과에 관한 연구", 산업혁신연구, 34(1), pp.163~189 (2018), 산업개발연구소[DOI]
- Romer, P. M., "The origins of endogenous growth", Journal of Economic Perspectives, 8(1), pp.3~22 (1994)
- Sarafidis, V., "On the impact of error cross-sectional dependence in short dynamic panel estimation", The Econometrics Journal, 12, pp.62~81 (2009)
- Saxenian, A., "Regional advantage: Culture and competition in Silicon Valley and Route 128" (1994), Harvard University Press
- Smith, K., "Measuring Innovation" (2005)
- Sorensen, J., "Aging, Obsolescence, and Organizational Innovation", Administrative Science, 45, pp.81~112 (2000)
- Sternberg, Rolf, "The Firm or the Region : What Determines the Innovation Behavior of European Firms?", Economic Geography, 77(4), pp.364~382 (2001)