Efficiency and Productivity of Italian Tourist Destinations: A Quantitative Estimation Based on Data Envelopment Analysis and the Malmquist Method

Cracolici, Maria Francesca; Nijkamp, Peter; Cuffaro, Miranda

doi:10.1007/978-3-7908-1718-8_17

Cited by 18 publications

(19 citation statements)

References 47 publications

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“…For outputs, we use the total number of international tourists, the total number of domestic tourists, the average length of stay of international tourists and the average length of stay of domestic tourists. All these variables have been selected in previous studies in the literature (Fuchs et al, 2002;Cracolici et al, 2006Cracolici et al, , 2007Bosetti et al, 2007). To construct the database, an extensive data development was necessary.…”

Section: Data and Resultsmentioning

confidence: 99%

“…Measures of tourism productivity at the industry level have had to confront substantial challenges in terms of finding data accurate enough to make such estimates meaningful. Some studies measure tourism productivity at the industry level but these are generally limited to one country or single destination (Fuchs, 2004;Wöber and Fesenmaier, 2004;Cracolici et al, 2006Cracolici et al, , 2007Bosetti et al, 2007;Peypoch 2007).…”

Section: Benchmarking Productivity and Destination Competitivenessmentioning

confidence: 99%

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Benchmarking International Tourism Destinations

Assaf

Dwyer

2013

Tourism Economics

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Industry productivity growth measures the contribution to the growth of the economy that an industry delivers. Benchmarking international tourism destinations in respect of their productivity is often avoided due to the difference in tourism characteristics between destinations. This paper introduces a novel approach to destination benchmarking that is theoretically motivated to account for this problem. The benchmarking framework proposed uses separate groups of countries with similar characteristics to construct a metafrontier that envelops these groups, and as such represents the world tourism industry. The paper confirms that ignoring heterogeneity (that is, differences in destination characteristics) can lead to bias in the productivity rankings of different countries. The results show that North American and European countries lead the world tourism industry in terms of productivity growth, while African countries lag behind. On average, most African countries are also not catching up with the world tourism industry. The outcome is development of a robust and comprehensive benchmarking methodology that can provide governments and national tourism offices with an accurate assessment of their international tourism performance.

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Section: Data and Resultsmentioning

confidence: 99%

Section: Benchmarking Productivity and Destination Competitivenessmentioning

confidence: 99%

Benchmarking International Tourism Destinations

Assaf

Dwyer

2013

Tourism Economics

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“…For the study, the number of tourists, homogeneity of tourism flow during the base year, and percentage of protected area were used as outputs; market size, public expenditure in environmental production and in tourism management and advertising, and tourism development index were used as inputs. Cracolici et al [68] also evaluated the performance of 103 Italian regions. The efficiency was analyzed for the year 2001 using DEA, and the change in productivity was investigated over four years from the base year of 2001 with Malmquist.…”

Section: Dea and Mpi In Tourism And Hospitalitymentioning

confidence: 99%

“…Destination performance evaluation studies differ somewhat depending on the destinations' characteristics, the inputs and outputs used varied. Whereas tourist visits were considered as the output, one study only used visitors who stayed overnight in the region [68]. Bosetti et al [67] used percentage of protected area as an out variable because the aim of the study was to under implications for managing protected areas.…”

Section: Dea and Mpi In Tourism And Hospitalitymentioning

confidence: 99%

Productivity Evaluation of Tourism and Culture for Sustainable Economic Development: Analyzing South Korea’s Metropolitan Regions

Joun

Kim

2020

Sustainability

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We analyzed the productivity of tourism- and culture-related economic activity in South Korea, adopting the Malmquist productivity index based on data envelopment analysis. We examined whether the productivity of tourism efficiently attracts financial investment. We used various objective indicators as the input and output variables of 16 metropolitan regions in South Korea between 2013 and 2018. To effectively understand the productivity of regions, the 16 metropolitan regions were categorized into four groups based on the ratio of financial independence and rate of city region, and regions were characterized as urbanized, traditional metropolitan, industrialized, or less developed. The findings reveal that the tourism industry in relatively less urbanized regions is more productive. Compared with other industries, public pre-investment and private investment strategies specific to tourism may yield more efficient results in terms of total production and employment. In other words, tourism may constitute a gateway to economic sustainability in less developed regions through the revitalization and/or balanced development of local structures.

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“…On the level of the regions of individual countries, several efficiency researches were carried out using the Data Envelopment Analysis [17]. Group of authors [18] have examined the tourist competitiveness of regions in Italy and how this degree of competitiveness has changed over years. In another paper, [19] authors examine the effectiveness of France's tourist destinations.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of Efficiency in Tourism Industry

Tomić¹,

Horvat²

2018

3rd International Thematic Monograph - Thematic Proceedings: Modern Management Tools and Economy of Tourism Sector in Present

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The main goal of this paper is to evaluate efficiency of regions tourism sector in order to improve countries competitiveness on global market. Efficiency is observed as relation of multiple outputs (international tourist arrivals, international tourism inbound receipts and tourism industry GDP) and inputs (government expenditure and prioritization of tourism) for four-year period. Results show that Croatia and Montenegro achieve maximal efficiency, compared to the other countries in this region.

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Efficiency and Productivity of Italian Tourist Destinations: A Quantitative Estimation Based on Data Envelopment Analysis and the Malmquist Method

Cited by 18 publications

References 47 publications

Benchmarking International Tourism Destinations

Benchmarking International Tourism Destinations

Productivity Evaluation of Tourism and Culture for Sustainable Economic Development: Analyzing South Korea’s Metropolitan Regions

Evaluation of Efficiency in Tourism Industry

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