Cluster policy is designed to facilitate inter‐firm networking. We examine industrial clusters in Japan based on firm‐level transaction data. Cluster firms significantly expand transaction networks ...not only with local firms but also with firms in the agglomerated core Tokyo. We confirm the robustness of the results with historical policy experience of the regions as an instrumental variable and the cluster participation in a later period for a placebo test. By disaggregating firms in their relationships with financial institutions, we find that cluster firms expanding networks with firms in Tokyo are financed mainly by regional banks.
Résumé
Politique des grappes industrielles et réseaux d'échange : données probantes tirées des données à l'échelon des sociétés au Japon. La politique des grappes vise à favoriser le réseautage entre les sociétés. Nous examinons les grappes industrielles au Japon en nous appuyant sur des données sur les échanges à l'échelon des sociétés. Les grappes d'entreprises élargissent considérablement les réseaux d'échange, non seulement avec les entreprises locales, mais aussi avec des entreprises de la métropole (Tokyo). Nous confirmons la robustesse des résultats grâce à l'expérience historique en matière de politique des régions comme étant une variable importante et à la participation aux grappes au cours d'une période ultérieure comme test placebo. En désagrégeant les sociétés en fonction de leurs relations avec les institutions financières, nous constatons que l'élargissement des réseaux des grappes d'entreprises avec des sociétés de Tokyo est principalement financé par les banques régionales.
PurposeThis paper aims to understand how the sustainability theme has been incorporated into the new Olympic planning guidelines based on analysing the case of Tokyo (2020), which was severely ...impacted by the COVID-19 pandemic.Design/methodology/approachFor this, field research using the case study method was carried out that involved 21 in-depth interviews with experts from different entities affected by the event.FindingsAs a result, it was possible to identify that some characteristics already presented in the Tokyo project came to break away from the gigantism observed in the past Olympic editions in an attempt to demonstrate alignment with the new principles brought by the IOC (2020) and 2020 + 5 Agenda that had as one of its main objectives to simplify the Olympics, making the event more sustainable and accessible for future host societies.Originality/valueAt the end, some trends for the future of the Olympic Games are also presented in order to guide future studies in the area, as well as help the future host cities and their companies in planning their investments.
El mundo del periodismo está inmerso en una revolución permanente, lo que le hace estar sumido en cambios tecnológicos y laborales de los que es difícil aventurar un futuro. Además, la irrupción de ...los entornos multimedia en las redacciones y la aparición de gabinetes de prensa y gestores de contenidos digitales ha modificado la tradicional relación informativa entre los informadores y sus fuentes. Se ha perdido la relación personal y la cercanía y eso puede ser perjudicial en entornos emergentes, como el del deporte femenino.
Con el horizonte de los Juegos de Tokio 2020 aplazados hasta 2021, este trabajo revisa las relaciones entre periodistas de ABC y las deportistas olímpicas desde 1972, con la esperanza de que la modernidad no afecte al tratamiento informativo de las atletas en el futuro.
Tokyo Thornbury, Barbara E; Schulz, Evelyn
2017., 2017, 2017-10-17
eBook
Tokyo: Memory, Imagination, and the City is a collection of eight essays that explore Tokyo urban space from the perspective of memory in works of the imagination—novels, short stories, poetry, ...essays, and films. Written by scholars of Japanese studies based in England, Germany, Japan, and the United States, the book focuses on texts produced in Japan since the 1980s. The closing years of the Shōwa period (1926-1989) were a watershed decade of spatial transformation in Tokyo. It was also a time (in Japan, as elsewhere) when conversations about the nature of memory—historical, cultural, collective, and individual—intensified. The contributors to the volume share the view that works of the imagination are constitutive elements of how cities are experienced and perceived. Each of the essays responds to the growing interest in studies on Tokyo with a literary-cultural orientation.
The Japanese say that 'folk song is the heart's home town'. Traditional folk songs (min'yo) from the countryside are strongly linked to their places of origin and continue to play a role there. ...Today, however, they are also taught as a quasi-art music, arranged for stage and television, quoted in Westernized popular songs and so forth.
The paper fits a hedonic regression model to the sales of condominium units in Tokyo over the period 2000–2015. The problem is complicated by the need to decompose the selling price of a unit into a ...component that can be attributed to the structure area of the unit and another component that can be attributed to the unit's share of land value. There is very little information on the value of condominium land and so this paper develops a methodology for reducing this knowledge gap. The paper extends the builder's model which was developed in Eurostat (2013). Characteristics which prove to be important in explaining condominium prices are: the floor space area of the unit, the total land area of the building, the number of units in the building, the total number of stories in the building, the height of the sold unit, the age of the structure and the amount of excess land. The paper also derives an estimate for the annual geometric structure depreciation rate for condominiums in Tokyo.
In tourism-dependent cities, investigating the spatiotemporal distribution and dynamics of tourist flows is crucial for better urban planning in both steady and perturbed states. In recent years, ...researchers have started relying more on photo-based, geotagged social data, which offer insights about tourists, popular hotspots, and mobility patterns. However, distinguishing between tourists and locals from this data is problematic since residence information is often not provided. While previous studies rely on heuristic (e.g., period of stay) and probabilistic (Shannon entropy) approaches, this paper proposes a method for classifying tourists and residents based on machine learning (ML) algorithms and considering parameters that could explain the variability between the two (e.g., weather, mobility, and photo content). This approach was applied to Flickr users’ geotagged photos taken in Tokyo’s 23 special wards from July 2008 to December 2019. The results show that stacked ensemble (SE) models are superior to models based on five supervised-learning algorithms, including gradient boosting machine (GBM), generalized linear model (GLM), distributed random forest (DRF), deep learning (DL), and extremely randomized trees (XRT). Temporal entropy (TEN), mobility on workdays, and frequent visits to amusement venues and crowded places influenced how users were classified. While temporal distribution showed similar monthly/hourly patterns, spatial distribution varied. The proposed approach might pave the way for scholars to carry out future tourism research on different topics and subsequently support policymakers in the decision-making process, specifically in urban settings.
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