Do Citizens of a City that Owns a Local Public Airport Have Attachment to the Airport and Use it?

This research investigates whether passengers living in a city with a local public airport have an attachment to that airport and tend to use it. Focusing on the greater Kansai area with its three airports and Kobe, which owns one of them, Kobe Airport, as an example, an empirical analysis was conducted using a nested logit model and micro data. The result of the basic model shows that passengers living in Kobe prefer the Kobe Airport when compared to passengers living in other cities. An additional analysis based on a questionnaire survey revealed that a certain percentage of respondents choose Kobe Airport because they love it, meaning that the non-economic factor of attachment influences passengers’ decisions. The results of this research suggest that enhancing attachment to an airport might be a possible idea for policy makers of airport cities to increase their passengers.

Position in global value chains and wages in Central and Eastern European countries

This paper examines the relationship between the relative position of industries in Global Value Chains (GVC) and wages in 10 Central and Eastern European countries. We combine GVC measures of global import intensity of production, upstreamness and the length of the value chain with micro-data on workers. We find that the wages of Central and Eastern European countries workers are higher when their industry is at the beginning of the chain or at the end than in the middle. Secondly, wage changes depend on the interplay between upstreamness and GVC intensity. In sectors close to final demand, greater production fragmentation is associated with lower wages.

Personal Credit and Financial Vulnerability

Rather than a narrow focus on risk of default, this paper advocates for lenders to take a broader data-led approach to tackling the challenges posed by financial vulnerability due to its latent and transient nature. Earlier identification and intervention when customers are experiencing financial hardship may help prevent default. Firstly, we consider how macro and micro data sources, in combination with emerging theoretical frameworks that conceptualise financial vulnerability, could be used by lenders for earlier identification of vulnerable customers. Secondly, we look at tailored interventions that could help financially vulnerable consumers once they have been identified, with passive and active methods inspired by protective efforts currently underway within the gambling industry. Lastly, when consumers do enter the arrears process, we highlight how lenders have a responsibility to help mitigate cognitive biases and promote behaviours that will help consumers escape perpetual debt.

EXPLORING TOURIST EXPENDITURES OF THE GJIROKASTRA DISTRICT IN ALBANIA: A CLUSTER ANALYSIS

Tourism expenditures are an important indicator for measuring the impact of tourism on a destination. Information taken from the micro data of tourism expenditures, together with other socio-demographic characteristics of visitors, provides important data on the tourist demand for a destination. Visitor costs in combination with other variables can be used to profile the demand for tourist goods and services in the destination area. In this paper, the daily expenses of visitors in the Gjirokastra district of Albania are analysed. The Gjirokastra district is one of the more preferred regions and attracts a considerable number of domestic and foreign visitors, because it offers a diversity tourist attractions and services. For the purposes of this study, a survey of 200 visitors was conducted. The survey results were analysed with descriptive statistics via a cluster analysis. The survey provides detailed data on the daily expenses of visitors, divided into six main categories of a typical travel budget. Through the use of data mining cluster analysis, we identified and analysed the tourists’ daily expenses based on the purpose of their visit to the area of Gjirokaster.

Corruption-Driven Inequalities in Access to Adult Education

The article aims to show that taking into account diverse characteristics of the wider social environment is indispensable for a better understanding of participation in adult education (PAE). It explores the association of corruption as a macro factor with PAE, arguing for an integrated approach to PAE. By using two indexes for corruption at country level Corruption Perception Index and the Index of Public Integrity—and micro-data for adults aged 25–64 from 29 European countries in the Adult Education Survey, 2016, as well as by applying random-effects logit models, this study has demonstrated that a country's higher corruption level is associated with the lower probability of PAE. Our article also reveals that the relationships between individual-level variables such as gender, higher education, social background, and PAE are embedded in a wider social milieu, and corruption is an essential characteristic of that milieu which deepens some of the inequalities in PAE.