To Assess Collective Well-Being with a Synthetic and Autocorrelate Index Tourism of Italian Provinces

Tebala, Domenico; Marino, Domenico

doi:10.1007/978-3-030-00677-8_4

Cited by 2 publications

(4 citation statements)

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“…Compared to the previous studies (Gismondi and Russo, 2004; Baldazzi et al , 2015; Tebala and Marino, 2017; Tebala and Tebala, 2020), this paper offers the opportunity to experiment with multiple composite and synthetic indexes based on weighting and aggregation procedures, through which processing a very rich knowledge base that combines structured and unstructured data sets. The results obtained show that policymakers can adopt different perspectives to define and identify peripheral areas, with the final goal to elaborate a proper strategy for tourism development, which may contribute to enhance the resilience of the entire industry (Ivona et al , 2021).…”

Section: Discussionmentioning

confidence: 99%

“…Tebala and Marino (2017) and Tebala and Tebala (2020) identified a composite “systemic” index to measure the impact of tourist goods on the collective wellbeing at the provincial level, by analyzing also possible spatial autocorrelations existing between the Italian provinces.…”

Section: Theory Backgroundmentioning

confidence: 99%

“…With a specific reference to the case of marginal or fragile areas, Markovi c et al ( 2017) measured the rural tourism potential of territory by calculating the economic impact and socio-cultural effects of such typology of tourism within a destination. Tebala and Marino (2017) and Tebala and Tebala (2020) identified a composite "systemic" index to measure the impact of tourist goods on the collective wellbeing at the provincial level, by analyzing also possible spatial autocorrelations existing between the Italian provinces. Lopes et al (2018) measured the competitiveness of eight tourism destinations located in the northern region of Portugal to show the suitability of using multi-criteria techniques (i.e.…”

Section: Theory Backgroundmentioning

confidence: 99%

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A composite tourism index for the competitiveness of marginal areas: a pilot application in a Southern Italy province

Moretto

Elia

Ghiani

2021

MBE

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Purpose Differently from traditional approaches that rely on the analysis of single dimensions of the tourism phenomenon, this study aims to experiment a systemic approach based on structured and unstructured data sources to elaborate a composite index to measure the tourist competitiveness of marginal areas, with the final aim to design and plan proper socio-economic development strategies. Design/methodology/approach The methodology adopted to carry out the study follows a four-step process and relies on indicators that are both relevant and accessible. The first step concerns the analysis of the literature about the existing approaches to calculate a tourism index. The second step concerns the definition of the indicators and the collection of data by using both structured and unstructured sources. The third step focuses on the population of the data set. Finally, the fourth step aims at calculating the tourism index through a composite-based methodology and using it for a pilot application in a Southern Italy province. Findings The study calculates a synthetic tourism index for each of the 97 municipalities of the Province of Lecce (a city located in the southeast of Italy). The proposed index combines administrative, institutional and open data sources to derive a single indicator for each municipality, thus supporting decision-makers in understanding the complex reality and competitiveness level of territories in the tourism industry. Originality/value The main elements of originality of the study are the breadth and typology of data sources considered to calculate the composite indicator of tourism competitiveness (both structured and unstructured); and the use of weighting and aggregation procedures in the methodological issues.

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Section: Discussionmentioning

confidence: 99%

Section: Theory Backgroundmentioning

confidence: 99%

Section: Theory Backgroundmentioning

confidence: 99%

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A composite tourism index for the competitiveness of marginal areas: a pilot application in a Southern Italy province

Moretto

Elia

Ghiani

2021

MBE

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“…The paper points out, that there is a wide range of innovation activities in rural areas, often not mentioned in innovation policy literature, that can strongly benefit and strengthen the impact of the new generation of European Regional Policy. Paper by Tebala et al (2019) studies the relationship between fair and sustainable well-being and the tourism potential of territories. The paper of Marshall A., and Murphy D. F., (2017) starts from the consideration that the literature on rural innovation suggests that the nature and needs of rural enterprises can be diverse and then reviews several key issues, including the skill needs, aspirations and motivations of rural professionals, the suitability of target institutions and leadership.…”

Section: Fair and Sustainable Well-being In Rural Areas: A Literature...mentioning

confidence: 99%

Rural Areas and Well-Being: Empirical Models and Policies

Marino¹,

Tebala²

2022

Preprint

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Predominantly rural areas make up half of Europe and account for about 20 per cent of the population. Yet most of them are among the least privileged regions in the European Union, with a GDP per capita significantly below the European average and with an average population age higher than in urban areas, although this gap will only slowly begin to narrow in the next decade. Together with a lack of connectivity, inadequate infrastructure, lack of diversified job opportunities and limited access to services, this makes rural areas a less attractive place to live and work. At the same time, however, rural areas actively participate in the EU's green and digital transition. Achieving the EU's digital goals for 2030 can offer more opportunities for the sustainable development of rural areas in areas other than agriculture, livestock and forestry, opening up new perspectives for the growth of manufacturing and, even more, service industries, and contributing to a better geographical distribution of services and industries. In this context, the objective of this work is the construction of a synthetic index of the welfare of European nations, through the Wroclaw taxonomic method and through the use of logit models, for the identification of best practices of local realities and the interpretation in a more im-mediated way of the fair and sustainable welfare of each European nation at a rural level

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To Assess Collective Well-Being with a Synthetic and Autocorrelate Index Tourism of Italian Provinces

Cited by 2 publications

References 0 publications

A composite tourism index for the competitiveness of marginal areas: a pilot application in a Southern Italy province

A composite tourism index for the competitiveness of marginal areas: a pilot application in a Southern Italy province

Rural Areas and Well-Being: Empirical Models and Policies

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