The spatial agglomeration of Italian agritourism farms
Bibliographic Data
| ID | 10408696 |
|---|---|
| Authors | Rosa M Fanelli (0000-0002-0873-6077, University of Molise, corresponding author), Luca Romagnoli (0000-0003-3243-1561, University of Molise) |
| Year | 2021 |
| Volume | 56 |
| Issue | 7 |
| Pages | 1082-1096 |
| Publication date | 2021-10-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Regional Studies (JOURNAL) |
| Journal identifiers | ISSN: 0034-3404 • E-ISSN: 1360-0591 |
| Publisher | Routledge (PUBLISHER • GB) |
| DOI | 10.1080/00343404.2021.1980523 |
| OpenAlex | W3201894862 |
| Language | EN |
| Citations received | 1 |
| References cited | 54 |
This study investigates the effects of localization and territorial features on the distribution and spatial agglomeration of agritourism farms in Italy. We employ both a spatial Durbin model and a multinomial regression model, using an Italian provincial level (NUTS-3) dataset. The results provide robust evidence of positive spillovers of external factors that affect the provincial agglomeration of agritourism farms; moreover, the analyses demonstrate that this is largely a localized process involving both localization and internal agritourism farm features. These findings have important implications for decision-makers and can support the development of more forms of agritourism
Business · Distribution (mathematics · Economic geography · Economic growth · Economics · Economies of agglomeration · Geographically Weighted Regression · Geography · Multinomial logistic regression · Regional science · Spatial distribution · Statistics · Diverse Aspects of Tourism Research · Land Use and Ecosystem Services · Mathematics · Rural development and sustainability
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Researching Volunteered Geographic Information
Seeking Gastronomic, Healthy, and Social Experiences in Tuscan Agritourism Facilities
A Simulation-Based Study of Geographically Weighted Regression as a Method for Investigating Spatially Varying Relationships
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| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |