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Spatial Imbalance Between Tourist Supply and Demand: The Identification of Spatial Clusters in Extremadura, Spain

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  • María Cristina Rodríguez Rangel

    (Faculty of Economics and Business, Universidad de Extremadura, 06006 Badajoz, Spain)

  • Marcelino Sánchez Rivero

    (Faculty of Economics and Business, Universidad de Extremadura, 06006 Badajoz, Spain)

Abstract

The techniques provided by spatial analysis have become a great ally of tourist planning as they allow the carrying out of exhaustive territorial analyses. The greater availability of georeferenced databases together with the more and more extensive use of GIS (Geographic Information Systems) is materialising in the proliferation of studies analysing the distribution patterns of tourist territories. The present study uses these techniques to study the degree of equilibrium in the distribution of places and its level of occupation in a region where the use of expansionary policies of growth of the tourism sector has been able to cause a strong imbalance in said activity, i.e., the case of the region of Extremadura. To verify this, both global contrasts, global Moran’s I and G (d) of Getis and Ord, are used, as well as local contrasts, to map LISA (Local Indicators of Spatial Association). The results obtained confirm the existence of strong imbalances in the effectiveness of the places created while allowing the identification of different clusters of high and low values. These findings represent an important output for the strategic planning of the territory in order to develop a strategy that allows the sustainable tourism development of the territory.

Suggested Citation

  • María Cristina Rodríguez Rangel & Marcelino Sánchez Rivero, 2020. "Spatial Imbalance Between Tourist Supply and Demand: The Identification of Spatial Clusters in Extremadura, Spain," Sustainability, MDPI, vol. 12(4), pages 1-20, February.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:4:p:1651-:d:323998
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    References listed on IDEAS

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    1. Balaguer, Jacint & Pernías, José C., 2013. "Relationship between spatial agglomeration and hotel prices. Evidence from business and tourism consumers," Tourism Management, Elsevier, vol. 36(C), pages 391-400.
    2. Robert Haining & Stephen Wise & Paola Signoretta, 2000. "Providing scientific visualization for spatial data analysis: Criteria and an assessment of SAGE," Journal of Geographical Systems, Springer, vol. 2(2), pages 121-140, July.
    3. Lee, Sang-Hyun & Choi, Jin-Yong & Yoo, Seung-Hwan & Oh, Yun-Gyeong, 2013. "Evaluating spatial centrality for integrated tourism management in rural areas using GIS and network analysis," Tourism Management, Elsevier, vol. 34(C), pages 14-24.
    4. Luc Anselin & Raymond J. G. M. Florax, 1995. "New Directions in Spatial Econometrics: Introduction," Advances in Spatial Science, in: Luc Anselin & Raymond J. G. M. Florax (ed.), New Directions in Spatial Econometrics, chapter 1, pages 3-18, Springer.
    5. Elias Soukiazis & Sara Proença, 2008. "Tourism as an alternative source of regional growth in Portugal: a panel data analysis at NUTS II and III levels," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 7(1), pages 43-61, April.
    6. Fei, Liguo & Zhang, Qi & Deng, Yong, 2018. "Identifying influential nodes in complex networks based on the inverse-square law," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1044-1059.
    7. Chua, Alvin & Servillo, Loris & Marcheggiani, Ernesto & Moere, Andrew Vande, 2016. "Mapping Cilento: Using geotagged social media data to characterize tourist flows in southern Italy," Tourism Management, Elsevier, vol. 57(C), pages 295-310.
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    Cited by:

    1. Martí Cors-Iglesias & María Belén Gómez-Martín & Xosé Antón Armesto-López, 2020. "Peer-to-Peer Accommodation in Rural Areas of Catalonia: Defining Typologies of Rural Municipalities," Sustainability, MDPI, vol. 12(15), pages 1-15, July.
    2. María Cristina Rodríguez Rangel & Marcelino Sánchez Rivero & Julián Ramajo Hernández, 2020. "A Spatial Analysis of Intensity in Tourism Accommodation: An Application for Extremadura (Spain)," Economies, MDPI, vol. 8(2), pages 1-21, April.
    3. Mendieta-Aragón, Adrián & Rodríguez-Fernández, Laura & Navío-Marco, Julio, 2023. "Tourism usage of digital collaborative economy platforms in Europe: situation, behaviours and implication for the digital policies," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done? 278002, International Telecommunications Society (ITS).
    4. Dora Isabel Rodrigues Ferreira & Luís Carlos Loures & José-Manuel Sánchez-Martín, 2023. "Spatial Analysis of Sustainability Measures from Agritourism in Iberian Cross-Border Regions," Land, MDPI, vol. 12(4), pages 1-32, April.
    5. Marta Lisiak-Zielińska & Agnieszka Ziernicka-Wojtaszek, 2020. "Spatial Variation in Tourism and Investment Potential in the Context of Sustainable Development—A Case Study of Staszowski County," Sustainability, MDPI, vol. 13(1), pages 1-20, December.
    6. Vicente Ramos & Maurici Ruiz-Pérez & Bartomeu Alorda, 2021. "A Proposal for Assessing Digital Economy Spatial Readiness at Tourism Destinations," Sustainability, MDPI, vol. 13(19), pages 1-15, October.

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