• Energy Research

This article presents a structural modeling analysis of the performance determinants of urban attractiveness, in terms of resident population and international tourism demand, in 40 global cities. ...

The datasets present collected data through resident surveys on the perceptions on tourism development and the state of cultural heritage, as part of the Horizon 2020 funded project SmartCulTour (www.smartcultour.eu). The data is collected on individual respondent level for Local Administrative Units (LAUs) for the following municipalities/cities: Spain: Huesca, Graus, Benasque, Barbastro, Ainsa, Jaca, Sariñena the Netherlands: Rotterdam, Dordrecht, Molenlanden, Ridderkerk, Zwijndrecht, Barendrecht, Delft Belgium: Dendermonde, Puurs-Sint-Amands, Bornem, Berlare, Aalst, Denderleeuw, Willebroek Croatia: Split, Trogir, Kaštela, Solin, Sinj, Dugopolje, Klis Finland: Utsjoki Italy: Vicenza, Caldogno, Grumolo, Pojana Maggiore, Lonigo, Montagnana The data is presented as cross-sectional data and available for the following year: 2020. Please consult the metadata on each dataset for an overview of collected indicators and units of measurement.

This study analyses the contribution of territorial sensitive resources related to natural and cultural features (environmental dimension), innovation capabilities and specialization patterns (smart specialization) to regional sustainable development (spatial sustainability). In the context of a fast and continuous expansion of tourism activities, particular attention is given to their impacts. The results of our path model suggest that different patterns of tourism dynamics coexist in European regions and that, for those where this sector assumes larger socio-economic importance, the contribution to the achievement of the “Millennium Goals”, as proposed by the United Nations, is relatively poor. Regions particularly endowed in natural resources reveal a weak socio-economic performance, while showing high levels of specialization in tourism, based on large scale and low value-added products and services, suggesting that new approaches to territorial design are required. This also leads to important spatial unbalances, with the most tourism-dependent European regions revealing relatively low levels of regional gross domestic product and high levels of unemployment. Despite their relatively good performance in terms of CO2-emissions, it seems important for those regions' sustainable development to increase the value added in tourism, by reinforcing the linkages with other relevant regional economic sectors. Information and communication technologies can contribute to these achievements, through the integration of knowledge and innovations into the products and services comprising the smart tourism experiences (smart development) and their connections with related sectors (smart specialization).

This study evaluates campus sustainability initiatives in Japanese higher education institutions over the 10-year period since a related important political declaration was made. Our findings show that implementation of sustainability actions was still largely lacking. This is one of the first extensive empirical studies on Japanese higher education institutions to examine data related to institutions that conform with the Assessment System for Sustainable Campus (ASSC). Our study aimed to identify key factors that promote robust campus sustainability among Japanese institutions. Our research question was “What are the strategic options of institutions that conform with ASSC?” We aimed to determine which fields best prompt Japanese higher education institutions to initiate campus sustainability initiatives. We applied cluster analysis to 42 cases collected by ASSC toward identifying groups of institutions with different strategic options. The analysis identified four groups: “lagging-behind”, “asset-driven”, “top-of-the-class”, and “networkers” clusters. An important finding of this study was that the asset-driven and networkers clusters showed significant positive scores with respect to asset management and networking. Our survey about institution size revealed two major findings: (1) despite the general dependency of campus sustainability on resources, both large and small institutions were capable of attaining the top-of-the-class cluster by adopting a holistic strategy; (2) small institutions are able to implement campus sustainability initiatives by focusing on asset management or networking.

The datasets present collected data aimed at measuring the state of cultural tourism and economic development and resilience of a select set of potential cultural tourism destinations in Europe, as part of the Horizon 2020 funded project SmartCulTour (www.smartcultour.eu). The data is collected on the level of Local Administrative Units (LAUs) for the following municipalities/cities: Spain: Ainsa, Barbastro, Benasque, Graus, Huesca, Jaca, Sariñena the Netherlands: Rotterdam, Delft, Dordrecht, Molenlanden, Barendrecht, Ridderkerk, Zwijndrecht Finland: Utsjoki Italy: Vicenza, Caldogno, Pojana Maggiore, Grumolo delle Abbadesse, Lonigo, Montagna Croatia: Split, Trogir, Kaštela, Solin, Sinj, Dugopolje, Klis Belgium: Dendermonde, Puurs-Sint-Amands, Bornem, Berlare, Aalst, Denderleeuw, Willebroek The data is presented as panel data and available for the following years: 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019. Please consult the metadata on each dataset for an overview of collected indicators and units of measurement.

While the potential macro-economic benefits of tourism development have been well-established, the negative social effects of uninhibited growth have received increased attention in the last decade, emphasizing the central role of communities in the search for a sustainable balance in tourism. This paper focuses on the relatively underdeveloped Scheldeland region in Flanders (Belgium), where a strategic goal is to leverage cultural and natural heritage to boost development. Via a resident questionnaire based on a simplified version of the Resident Empowerment through Tourism Scale (RETS), we identified support for tourism development and deconstructed the drivers of this support. The objective was to empirically validate the research instrument and underlying theory in a situation of relative ‘undertourism’ and prospective future growth. The questionnaire collected 2058 responses, and the partial least squares-structural equation modeling (PLS-SEM) results indicated that support for tourism, which was generally high across the seven municipalities, was mainly affected by social, psychological, and political empowerment, with personal economic benefits not playing a significant role. These results show that social exchange theory (SET) as a theoretical basis for potential tourism support has limited validity in currently underdeveloped destinations. Secondly, comparatively speaking, the municipalities with the lowest tourism development were least supportive of tourism growth, with an increase in tourism intensity seemingly leading to increasing support due to a higher awareness of accrued benefits through tourism.