| 藤井 秀道（ふじい ひでみち） | データ更新日：2024.04.08 |
教授 ／
経済学研究院
国際経済経営部門
| 1. | Hidemichi Fujii, Shunsuke Managi, Trends and Priority Shifts in Artificial Intelligence Technology Invention: A global patent analysis, RIETI Discussion Paper Series, 2017.05, [URL], Artificial intelligence (AI) technology can play a critical role in economic development, resource conservation, and environmental protection by increasing efficiency. This study is the first to apply a decomposition framework to clarify the determinants of AI technology invention. Exploiting data from the World Intellectual Property Organization, this study clarifies the determining factors that contribute to AI technology patent publications based on technology type. Consisting of 13,567 AI technology patents for the 2000-2016 period, our worldwide dataset includes patent publication data from the United States, Japan, China, Europe, and the Patent Cooperation Treaty (PCT). We find that priority has shifted from biological- and knowledge-based models to specific mathematical models and other AI technologies, particularly in the United States and Japan. Our technology type and country comparison shows that the characteristics of AI technology patent publication differ among companies and countries.. |
| 2. | Nick Johnstone, Shunsuke Managi, Miguel Cárdenas Rodríguez, Ivan Haščič, Hidemichi Fujii and Martin Souchier, Environmental policy design, innovation and efficiency gains in electricity generation, OECD, 10.1787/5jm0t716kwmw-en, 2016.04, [URL], This paper explores the relationship between environmental regulation, innovation, and competitiveness, drawing upon a unique dataset on environmental regulations directed at combustion plants, a global dataset of power plants, and a global dataset of ‘environmental’ patents. The analysis is conducted in two stages. First, a nonparametric frontier analysis is implemented to estimate efficiency scores, including a measure of technological innovation based on patent stocks. Second, econometric methods are applied to analyse the role of policy stringency and policy design on efficiency. Our estimation sample covers thermal power plant sectors in 20 countries from 1990 to 2009. The results show that the stringency of environmental regulations is a significant determinant of productive efficiency with respect to pollutant emissions as well as fuel use. However, these effects turn negative once the level of stringency leaps over a certain threshold. In addition, the paper concludes that the positive effect of regulatory stringency can be diminished by a negative effect of regulatory differentiation with measures which are differentiated across plant size and age having negative consequences, and these effects are increasing over time. This finding is important given the prevalence of size- and vintage-differentiated policies in many countries. Finally, it is found that integrated approaches to environmental innovation are more likely to bring about efficiency improvements than end-of-pipe technologies.. |
| 3. | 山内崇裕,朽網道徳,永野友子,藤井秀道, 都市の価値及び環境負荷の定量的評価方法～ICT導入による貢献量～, 富士通株式会社, 2013.11, [URL]. |
| 4. | 藤井秀道, 書評 高崎経済大学地域政策研究センター 著 「環境政策の新展開」, 日本地域政策研究, 2015.05. |
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