K
Kazuyuki Motohashi
Researcher at University of Tokyo
Publications - 148
Citations - 3373
Kazuyuki Motohashi is an academic researcher from University of Tokyo. The author has contributed to research in topics: Productivity & Open innovation. The author has an hindex of 24, co-authored 146 publications receiving 2936 citations. Previous affiliations of Kazuyuki Motohashi include National Institute of Standards and Technology & Organisation for Economic Co-operation and Development.
Papers
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Book ChapterDOI
Patent Statistics as an Innovation Indicator
TL;DR: In this article, the authors summarized the basic characteristics of patent data as an innovation indicator and reviewed some of the recent research using patent data, focusing on major developments since Griliches in 1990.
Journal ArticleDOI
Patent statistics: A good indicator for innovation in China? Patent subsidy program impacts on patent quality
Jianwei Dang,Kazuyuki Motohashi +1 more
TL;DR: In this article, a bibliometric analysis of patenting activities of Chinese large and medium-sized enterprises under local patent subsidy programs and test whether patent statistics are a good indicator of innovation in China.
Journal ArticleDOI
University-industry collaborations in japan: the role of new technology-based firms in transforming the national innovation system
TL;DR: In this paper, the role of new technology-based firms in university/industry collaborative (UIC) activities in Japan is examined, and it is found that these smaller firms achieve higher productivity through UICs than large firms.
Journal ArticleDOI
Are new technology-based firms located on science parks really more innovative?: Evidence from Taiwan
TL;DR: In this article, the elasticity of R&D with respect to outputs of NTBFs located within and outside the Hsinchu Science Industrial Park (HSIP) in Taiwan was investigated.
Journal ArticleDOI
China's innovation system reform and growing industry and science linkages
Kazuyuki Motohashi,Xiao Yun +1 more
TL;DR: In this paper, linkages of S&T activities between industry and science are statistically investigated, based on a firm level dataset from an S & T survey by the National Bureau of Statistics (NBS) of the PRC of about 22,000 manufacturing firms.