Innovation
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The demographics of Japan’s aging society has galvanized a wide range of corporate efforts, supported both directly and indirectly by the government, to aggressively develop artificial intelligence-driven technologies and IT systems to perform work for which labor shortages are accelerating. We are beginning to see concrete corporate offerings to address shortages of specific types of skilled and unskilled labor, as well as numerous efforts underway to develop systems to cope with sparsely populated, elderly geographic regions and the logistics surrounding eldercare more generally.

In this talk, based on a forthcoming book chapter, Kushida examines specific corporate cases and government strategies suggesting how Japan’s population aging and shrinking has led to three primary interrelated drivers of significance to shaping technological trajectories: 1) Demographics as market opportunity of an entirely unprecedented scale to serve the needs of a rapidly aging society; 2) demographic change creating an acute labor shortage; and 3) favorable political and regulatory dynamics for pursuing the development and diffusion of new technological trajectories to solve social and economic challenges caused by demographic change. A critical implication is that if technologies developed or deployed within Japan to solve domestic demographic problems are applicable elsewhere, then Japan’s demographic challenge can be an opportunity to cultivate competitive products and services in global markets.

SPEAKER

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Kenji E. Kushida is a Japan Program Research Scholar at the Walter H. Shorenstein Asia-Pacific Research Center and an affiliated researcher at the Berkeley Roundtable on the International Economy. Kushida’s research interests are in the fields of comparative politics, political economy, and information technology. He has four streams of academic research and publication: political economy issues surrounding information technology such as Cloud Computing; institutional and governance structures of Japan’s Fukushima nuclear disaster; political strategies of foreign multinational corporations in Japan; and Japan’s political economic transformation since the 1990s. Kushida has written two general audience books in Japanese, entitled Biculturalism and the Japanese: Beyond English Linguistic Capabilities (Chuko Shinsho, 2006) and International Schools, an Introduction (Fusosha, 2008). Kushida holds a PhD in political science from the University of California, Berkeley. He received his MA in East Asian studies and BAs in economics and East Asian studies, all from Stanford University.

PARKING

Please note there is significant construction taking place on campus, which is greatly affecting parking availability and traffic patterns at the university. Please plan accordingly. Nearest parking garage is Structure 7, below the Graduate School of Business Knight School of Management.

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Former Research Scholar, Japan Program
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MA, PhD
Kenji E. Kushida was a research scholar with the Japan Program at the Walter H. Shorenstein Asia-Pacific Research Center from 2014 through January 2022. Prior to that at APARC, he was a Takahashi Research Associate in Japanese Studies (2011-14) and a Shorenstein Postdoctoral Fellow (2010-11).
 
Kushida’s research and projects are focused on the following streams: 1) how politics and regulations shape the development and diffusion of Information Technology such as AI; 2) institutional underpinnings of the Silicon Valley ecosystem, 2) Japan's transforming political economy, 3) Japan's startup ecosystem, 4) the role of foreign multinational firms in Japan, 4) Japan's Fukushima nuclear disaster. He spearheaded the Silicon Valley - New Japan project that brought together large Japanese firms and the Silicon Valley ecosystem.

He has published several books and numerous articles in each of these streams, including “The Politics of Commoditization in Global ICT Industries,” “Japan’s Startup Ecosystem,” "How Politics and Market Dynamics Trapped Innovations in Japan’s Domestic 'Galapagos' Telecommunications Sector," “Cloud Computing: From Scarcity to Abundance,” and others. His latest business book in Japanese is “The Algorithmic Revolution’s Disruption: a Silicon Valley Vantage on IoT, Fintech, Cloud, and AI” (Asahi Shimbun Shuppan 2016).

Kushida has appeared in media including The New York Times, Washington Post, Nihon Keizai Shimbun, Nikkei Business, Diamond Harvard Business Review, NHK, PBS NewsHour, and NPR. He is also a trustee of the Japan ICU Foundation, alumni of the Trilateral Commission David Rockefeller Fellows, and a member of the Mansfield Foundation Network for the Future. Kushida has written two general audience books in Japanese, entitled Biculturalism and the Japanese: Beyond English Linguistic Capabilities (Chuko Shinsho, 2006) and International Schools, an Introduction (Fusosha, 2008).

Kushida holds a PhD in political science from the University of California, Berkeley. He received his MA in East Asian Studies and BAs in economics and East Asian Studies with Honors, all from Stanford University.
Research Scholar, Shorenstein APARC Japan Program
Seminars
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This event is part of the Stanford Silicon Valley-New Japan Project Public Forum Series.

 

Consumption is a major driver of national economies, and scholars often study important differences across consumption patterns across countries, which influence many aspects of their societies and economies. Yet, the underlying business of logistics operations, and how they support countries’ respective retail industries, has as much, if not more impact than simply examining consumer behavior. In this public forum, Ryuichi Kakui, with deep expertise in eCommerce logistics, will explain how logistics are used in retail industries, comparing across the world’s three largest economies: the US, China, and Japan. He will introduce the concept of strategic logistics thinking and the “4C” framework and informs leading strategic logistics thinking. A conversation with Kenji Kushida, who examines how technologies and specific industry dynamics shape varying models of political economies around the world, will then link the area of logistics and retail to important systemic differences and underlying similarities across the world’s leading economies, which are pursuing contrasting models of social, economic, and political organization.

 

SPEAKERS

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kakui headshot

Ryoichi Kakui is the founder of E-Logit, the leading eCommerce logistics company in Japan. He has published 29 books related to logistics, Amazon, and “omnichannel” distribution, which have been published in Japan, the US, China, Taiwan, South Korea, and Vietnam. He is a frequent commentator on television, radio, newspapers, magazines, and other media. Educated in Sophia University in Japan with an MBA from Golden Gate University, he founded UKETORU in 2015, a app addressing the issue of re-delivery, which escalated to a social issue in Japan.

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Kenji Kushida is a research scholar at the Japan Program at the Walter H. Shorenstein Asia-Pacific Research Center at Stanford University. One of this research themes examines how IT technologies shape political economies around the world, and how varying national political economic models shape the development trajectories of technologies. He leads the Silicon Valley – New Japan Project, a sustained platform for research and collaboration between Silicon Valley and the new and emerging aspects as Japan transforms itself.

 

PARKING

Please note there is significant construction taking place on campus, which is greatly affecting parking availability and traffic patterns at the university. Please plan accordingly. Open parking at Stanford University available starting 4:00pm unless otherwise marked. Nearest parking garage is Structure 7, below the Graduate School of Business Knight School of Management.

Seminars
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Global Affiliate Visiting Scholar, 2019-20
Ministry of Economy Trade & Industry - Japan
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Kenichiroh Oyama is a global affiliate visiting scholar at the Walter H. Shorenstein Asia-Pacific Research Center (Shorenstein APARC) for 2019-20.  Since 2006, Oyama has worked for the Ministry of Economy, Trade & Industry (METI) of Japan and experienced several posts — participating in the management of the National Institute of Advanced Industrial Science and Technology (AIST), analyzing Japanese SMEs and writing white papers on Small and Medium Enterprises in Japan (2014 and 2015).  Prior to joining Shorenstein APARC, he was sent to the Cabinet Office and conducted digital transformation (DX) of the Japanese government.

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Global Affiliate Visiting Scholar, 2019-20
Mitsubishi Electric
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PhD

Dr. Makoto Kanemaru is a global affiliate visiting scholar at the Walter H. Shorenstein Asia-Pacific Research Center (Shorenstein APARC) for 2019-20.  Kanemaru works as an electronic manufacturer for the research and development department at Mitsubishi Electric Corporation in Japan.  He is a researcher in preventive maintenance engineering for industrial motor and renewable energy systems.  He received his PhD in Electrical and Electronic Engineering from Tokyo Institute of Technology in 2011.  During his fellowship at Shorenstein APARC, his research will focus on trends and future of IoT and open innovation in manufacturing technologies of electrical equipment.

 

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In recent years, "innovation" has become increasingly important for Japan. Developing innovative businesses that are separate from the traditional Japanese business sphere is becoming increasingly crucial for sustained economic growth. In this report, Asakura focuses on some emerging companies that have the potential to drive innovation, and provide some reflections on the Japanese entrepreneurial environment.

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Chapter 4 of this book "Services with Everything: The ICT-Enabled Digital Transformation of Services" was written by John Zysman, Stuart Feldman, Kenji E. Kushida, Jonathan Murray, and Niels Christian Nielsen. The book is edited by Dan Breznitz and John Zysman.

 

 

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Books
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Zysman, John, Stuart Feldman, Kenji E. Kushida, Jonathan Murray, Niels Christian Nielsen, and Dan Breznitz
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Kenji Kushida's new book chapter, "Blockchain, a Silicon Valley Vantage on its Potential and Challenges" was published in new book, "The Future of Blockchain: How it will impact finance, industry, and society edited by Yuri Okina, Noriyuki Yanagawa, and Naoyuki Iwashita.

The book is an investigation of the potential and challenges of adopting a disruptive technology such as blockchain. Experts on blockchain applications explain the concept of blockchain, how it is being utilized in a variety of areas, and its wide-range impact on economy, industry, business and society, based on cases in Japan and overseas.

 

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Publication Type
Books
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Authors
Naoyuki Iwashita
Kenji E. Kushida
Kenji Kushida
Yuri Okina
Noriyuki Yanagawa
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This report provides an overview of the Silicon Valley ecosystem. It draws upon existing scholarship and original insights to derive a picture that is only partially well-known in Japan. Characteristics such as the critical role of large firms for the startup firm ecosystem, the role of Japanese firms in creating the US firms’ “open innovation” paradigm, and the severe lack of local government coordination in providing public transportation creating opportunities for disruptive startups such as Uber, are all aspects of Silicon Valley that are not well-known in Japan. This report also delves into industry-university ties in the crucial research universities of Stanford and University of California Berkeley, highlighting the multifaceted and bidirectional interactions between universities and industry that are often not captured by the common “technology licensing office”-centered view. In the final section, this report briefly reviews a representative set of challenges often cited by large Japanese firms attempting to make use of the Silicon Valley ecosystem, concluding by suggesting areas for further research.

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Working Papers
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Authors
Kenji E. Kushida
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Wheat is the most important staple crop grown in Australia, and Australia is one of the top wheat exporting countries globally. Timely and reliable wheat yield prediction in Australia is important for regional and global food security. Prior studies use either climate data, or satellite data, or a combination of these two to build empirical models to predict crop yield. However, though the performance of yield prediction using empirical methods is improved by combining the use of climate and satellite data, the contributions from different data sources are still not clear. In addition, how the regression-based methods compare with various machine-learning based methods in their performance in yield prediction is also not well understood and needs in-depth investigation. This work integrated various sources of data to predict wheat yield across Australia from 2000 to 2014 at the statistical division (SD) level. We adopted a well-known regression method (LASSO, as a benchmark) and three mainstream machine learning methods (support vector machine, random forest, and neural network) to build various empirical models for yield prediction. For satellite data, we used the enhanced vegetation index (EVI) from MODIS and solar-induced chlorophyll fluorescence (SIF) from GOME-2 and SCIAMACHY as metrics to approximate crop productivity. The machine-learning based methods outperform the regression method in modeling crop yield. Our results confirm that combining climate and satellite data can achieve high performance of yield prediction at the SD level (R2 ˜ 0.75). The satellite data track crop growth condition and gradually capture the variability of yield evolving with the growing season, and their contributions to yield prediction usually saturate at the peak of the growing season. Climate data provide extra and unique information beyond what the satellite data have offered for yield prediction, and our empirical modeling work shows the added values of climate variables exist across the whole season, not only at some certain stages. We also find that using EVI as an input can achieve better performance in yield prediction than SIF, primarily due to the large noise in the satellite-based SIF data (i.e. coarse resolution in both space and time). In addition, we also explored the potential for timely wheat yield prediction in Australia, and we can achieve the optimal prediction performance with approximately two-month lead time before wheat maturity. The proposed methodology in this paper can be extended to different crops and different regions for crop yield prediction.

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Journal Articles
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Agricultural and Forest Meteorology
Authors
Yaping Cai
David Lobell
Andries B.Potgieter, Shaowen Wanga, Jian Peng, Tianfang Xu, Senthold Assen, Yongguang Zhang, Liangzhi You, Bin Peng
Authors
Hong Cheng
Hanbing Fan
Takeo Hoshi
Dezhuang Hu
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The following item appears on VoxChina.org, an "independent, non-partisan and non-profit platform initiated by a group of experienced and accomplished economists."

Motivated by the realization that China’s economic growth model that relied on three major factors—cheap labor, capital deepening supported by high savings (depressed consumption), and technology, most of which came from advanced foreign countries—is about to become obsolete, the Chinese government has been trying to encourage innovations by Chinese firms through various subsidy programs (König et al., 2018). Using data from the China Employer Employee Survey (CEES), we study the allocation and impacts of the innovation subsidies in China in a recent NBER working paper (Cheng et al., 2019). We examine what type of firms are more likely to receive the innovation subsidies and if the subsidized firms are more likely to be innovative (measured by the number of patents and the likelihood of introducing new products), productive, and profitable....

Read the full article on VoxChina.

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