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on Tourism Economics |
| By: | Chia-Lin Chang (Department of Applied Economics, Department of Finance, National Chung Hsing University, Taiwan); Michael McAleer (National Tsing Hua University, Taiwan; University of Sydney Business School, Australia; Erasmus School of Economics, Erasmus University Rotterdam, and Tinbergen Institute, The Netherlands; Complutense University of Madrid, Spain and Yokohama National Univ) |
| Abstract: | The paper presents an overview of recent topical research on global, energy, health & medical, and tourism economics, and global software. We have interpreted “global” in the title of the Journal of Reviews on Global Economics to cover contributions that have a global impact on economics, thereby making it “global economics”. In this sense, the paper is concerned with papers on global, energy, health & medical, and tourism economics, as well as global software algorithms that have global economic impacts. The topics covered include re-opening the Silk Road to transform Chinese trade, education and skill mismatches, education policy for migrant children, code of practice and indicators for quality management of official statistics, projections of energy use and carbon emissions, multi-fuel allocation for power generation using genetic algorithms, optimal active energy loss with feeder routing and renewable energy for smart grid distribution, demand for narcotics with policy implications, access to maternal and child health services of migrant workers, computer technology to improve medical information, heritage tourism, ecotourism impacts on the economy, society and environment, taxi drivers’ cross-cultural communication problems and challenges, hybrid knowledge discovery system based on items and tags, game development platform to improve advanced programming skills, quadratic approximation of the newsvendor problem with imperfect quality, classification of workflow management systems for emails, academic search engine for personalized rankings, creative and learning processes using game-based activities, personal software process with automatic requirements traceability to support start-ups, and comparing statistical and data mining techniques for enrichment ontology with instances. |
| Keywords: | Global economics; energy economics; health & medical economics; tourism economics; global software |
| JEL: | I15 L86 O13 Q47 Z32 |
| Date: | 2017–05–22 |
| URL: | http://d.repec.org/n?u=RePEc:tin:wpaper:20170046&r=tur |
| By: | Kristof Gyod (University of Warsaw) |
| Abstract: | Research background: Consumption habits and the provision of services have undergone significant changes in the recent years. Platforms made way for new business models, which are often referred to as sharing economy or collaborative economy. Among the most valuable firms of the sharing economy is Airbnb, a platform for short-term accommodation rentals. Purpose of the article:The aim of the article is to analyse the characteristics of the Airbnb network in Warsaw, Poland. The paper investigates to what extent Airbnb may generate value from underused assets and whether it brings tourism todistricts previously less popular among visitors. Methodology/methods:The analysis is based on a unique dataset, which contains all Airbnb listings of Warsaw. The dataset has been constructed by the author using web-scraping technology. Descriptive statistics and kernel density estimation are implemented for the empirical analysis. Findings & Value added: The vast majority of the Airbnb network is focused on the short-term rental of entire homes and apartments in the city centre. Furthermore, the majority of listings belong to hosts, who offer more than one accommodation. The characteristics of the network suggest that the potential of Airbnb to generate value from underused assets is restricted: the primary activity of Airbnb decreases the number of properties on the long-term housing market. Comparing to traditional hotels, Airbnb is not significantly facilitating tourism in the outer districts of the city. The main contribution of the paper to the literature is the analysis of the entire population of Airbnb in a major city and the comparison with the traditional services sector. This is also the empirical analysis on the sharing economy and Airbnb in Poland. |
| Keywords: | sharing economy, two-sided markets, digital economy, tourism |
| JEL: | R12 D23 C81 |
| Date: | 2017–05 |
| URL: | http://d.repec.org/n?u=RePEc:pes:wpaper:2017:no33&r=tur |