2024 Fiscal Year Final Research Report
An empirical research on the strategic communication of information in rural areas in the post-COVID era
| Project/Area Number |
23K23710
|
| Project/Area Number (Other) |
22H02445 (2022-2023)
|
| Research Category |
Grant-in-Aid for Scientific Research (B)
|
| Allocation Type | Multi-year Fund (2024) Single-year Grants (2022-2023) |
| Section | 一般 |
| Review Section |
Basic Section 41010:Agricultural and food economics-related
|
| Research Institution | Kyoto University |
Principal Investigator |
Asano Kota 京都大学, 人間・環境学研究科, 教授 (50263124)
|
| Co-Investigator(Kenkyū-buntansha) |
松下 京平 滋賀大学, 経済学系, 教授 (20552962)
藤見 俊夫 京都大学, 防災研究所, 准教授 (40423024)
山根 史博 広島市立大学, 国際学部, 教授 (40570635)
法理 樹里 農林水産省農林水産政策研究所, その他部局等, 研究員 (90744756)
|
| Project Period (FY) |
2024-04-01 – 2025-03-31
|
| Keywords | インバウンド |
| Outline of Final Research Achievements |
Rural areas are rich in potential resources that attract people. Autumn leaf viewing, which was the focus of this study, is one of the traditional recreational activities that has been enjoyed throughout Japan since ancient times. In addition, considering the public goods nature of autumn leaf viewing (non-excludability and non-rivalry) and the fact that these resources are abundant in rural areas, there is great potential for expanding the scale of potential traffic to rural areas as a means of regional revitalization (Contribution to Issues 1 and 2). As a measure to attract potential traffic, this study noted the need to develop broadleaf trees, waterside environments, accommodation facilities, etc. around famous places, as well as the need to communication based on an understanding of the advantages of rural areas when considering tourism promotion measures (Contribution to Issue 3).
|
| Free Research Field |
環境経済学
|
| Academic Significance and Societal Importance of the Research Achievements |
農山漁村には紅葉狩り以外にも、魅力ある地域固有資源が数多く存在している。それらの魅力を的確に理解すると同時に、その魅力を最大限活かせるような施策や情報発信を行うことは、地方創生を図る上で不可欠である。本研究がその一助となる離散選択モデルの最適輸送理論を用いた新たな推定法を開発したことは学術的意義を有しており、今後その応用としての人流予測が進められることの社会的意義は大きいと思料する。
|