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    Analysis for R&D Organization Choice in Innovative Firms

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    https://www.riss.kr/link?id=A108570943

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    We are interested in the behaviors of innovative manufacturing firms in choosing and implementing the organizational forms such as cooperative R&D. In this study, we examine the behavior of innovative firms regarding employment, R&D spending, or in-house or outsourcing(cooperation) by limited dependent variable model. We find the determinants of innovating firms for choosing the alternative methods of R&D: cooperative R&D, female employment, and specific department for R&D, etc. In special, R&D organization and firm size affect the magnitude of female employment. For the probability of product innovation, female employment is significant in the range of R&D spending more than $120 mil. We also examined the determinants of cooperative R&D. From the results, we can find that special R&D team(department) affects employment pattern significantly. We also considered sample selection issue. This study may help government in which public experts seeks to enhance the productivity level of firms.
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    We are interested in the behaviors of innovative manufacturing firms in choosing and implementing the organizational forms such as cooperative R&D. In this study, we examine the behavior of innovative firms regarding employment, R&D spending, or in-ho...

    We are interested in the behaviors of innovative manufacturing firms in choosing and implementing the organizational forms such as cooperative R&D. In this study, we examine the behavior of innovative firms regarding employment, R&D spending, or in-house or outsourcing(cooperation) by limited dependent variable model. We find the determinants of innovating firms for choosing the alternative methods of R&D: cooperative R&D, female employment, and specific department for R&D, etc. In special, R&D organization and firm size affect the magnitude of female employment. For the probability of product innovation, female employment is significant in the range of R&D spending more than $120 mil. We also examined the determinants of cooperative R&D. From the results, we can find that special R&D team(department) affects employment pattern significantly. We also considered sample selection issue. This study may help government in which public experts seeks to enhance the productivity level of firms.

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    참고문헌 (Reference)

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    1 문성배, "서비스 기업의 기술혁신이 고용창출에 미치는 영향 분석" 한국경제연구학회 33 (33): 5-29, 2015

    2 성지미, "「사업체패널조사」의 고용관련 여성차별과 그 결정요인" 한국노동연구원 7 (7): 63-91, 2007

    3 Cotter, D. A., "Women’s work and working women : The demand for female labor" 15 (15): 429-452, 2001

    4 Fernandez-Villaverde, J., "Was Malthus Right? Economic Growth and Population Dynamics" National Bureau of Economic Research (NBER) 1-45, 2001

    5 Landes, W., "Trademark Law : An Economic Perspective" 30 : 265-309, 1987

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    8 Hensher, D., "The Mixed Logit Model: The State of Practice" Institute of Transport Studies 2-49, 2002

    9 Manski, C., "The Maximum Score Estimator of the Stochastic Utility Model of Choice" 3 : 205-228, 1975

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    18 "STEPI"

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    38 Nielsen, S., "Explaining the IT Gender Gap: Australian Stories for the New Millennium" 35 (35): 7-20, 2003

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    43 Greene,W., "Does Scale Heterogeneity across Individuals Matter? An Empirical Assessment of Different Logit Models" 37 (37): 413-428, 2010

    44 Ginarte J., "Determinants of patent rights : A cross-national study" 26 : 283-301, 1997

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    48 Kim, Y., "Consumer Preferences for Alternative Fuel Vehicles in South Korea" 7 : 327-342, 2007

    49 Weinberg, B., "Computer Use and the Demand for Women Workers" 53 : 290-308, 2003

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    53 Ann, J., "A Forecast of Household Ownership and Use of Fuel Vehicles" 30 : 2019-2104, 2008

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