nep-tur New Economics Papers
on Tourism Economics
Issue of 2016‒01‒03
two papers chosen by
Laura Vici
Università di Bologna

  1. Turnover Intention Among Categories Of Staff In The Hotel Industry In Ghana: A Case Of Sekondi-Takoradi Metropolis By Adu, Kofi Osei; Amponsah, Stephen; Arthur, Nicholas
  2. Building synthetic indicators for aspects of territorial capital By Michela Martinoia; Tomaso Pompili

  1. By: Adu, Kofi Osei; Amponsah, Stephen; Arthur, Nicholas
    Abstract: This study examined turnover intention among categories of staff in the hotel industry in Sekondi-Takoradi Metropolis in Ghana. Data were collected from 309 workers in licensed hotels and guest houses. Kruskal Wallis and Chi-square were used for the analysis. The result of the Kruskal Wallis showed a significant difference in turnover intention score among the different categories of staff in the hotel industry in the study area with the Food production staff recording the highest score while the Front office staff also reporting the lowest score. The implication is that it is highly probable for workers in the Food production section to quit their job than any other categories of workers in the hotel industry while workers in the Front office section have the least intention to quit their job. The result of the Chi-square suggested that the highest mean score on turnover intention recorded by staff in the Food Production Department may be attributed to differences in salaries among staff in different departments in the hotel industry. The study recommended that managements in hotels in the study area should organise labour retention programme aimed at motivating and maintaining staff and focus on those in the Food Production Department.
    Keywords: Turnover intention, Categories of Staff in the hotel industry, Kruskal Wallis
    JEL: M0
    Date: 2015–12–25
  2. By: Michela Martinoia; Tomaso Pompili
    Abstract: Empirical analyses highlight local structural features (territorial capital) as constraints on regional growth and interregional convergence processes, but scant attention is devoted to traditional localised resources and specifically the natural and cultural heritage. However, no heritage provides value by itself: only the application of know-how embodied in human capital achieves this. Specifically, natural and cultural heritage becomes economically relevant through human capital acting through tourist, recreational and cultural activities. Also because of its service exporting nature, tourism is believed to contribute to economic growth and job creation similarly to manufacturing; nevertheless, theoretical and empirical literature concerned manufacturing and rarely studied tourism or extended results to it. Besides, tourism is the market activity most favouring policentricity in Europe: apparently, tourism brings territorial cohesion and equity, although its most dynamic component (culture, events) favours metropolitan locations. However, heritage valorisation responding to tourist service demand may have adverse effects on development (congestion) and significant impacts on environmental quality and on resource consumption (heritage dissipation); these partly offsets strictly economic benefits and over time they weaken the destination’s pull, hence its value and its population’s welfare. Our goal is to explore the role of territorial capital, and specifically of intangibles such as the natural and cultural capital, in regional growth processes and in local response processes to exogenous crises. To this end we aim at achieving the following objectives: i) developing the theoretical framework of territorial capital, highlighting the role of immobile resources in local economic growth and in its spatial differentials, and the role of human capital in resource valorisation; ii) building a national database of territorial capital in Italian provinces, containing synthetic endowment indicators for natural and cultural heritage, human capital, and structure and distribution of the tourism and leisure industries. Our methodology includes the application of multivariate, and later on econometric, analyses, with the relevant state-of-the-art techniques. We use already available European and national databases, making recourse to ad hoc integrations if and when needed. The study area is Italy; the optimal tier is NUTS3, i.e. provinces, in Italy. The time reference is the period from the early 1990s to the latest available year, to ensure a structural long-term approach.
    Date: 2015–12

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