nep-tur New Economics Papers
on Tourism Economics
Issue of 2015‒09‒18
two papers chosen by
Laura Vici
Università di Bologna

  1. Tourism clusters in Russia: a network perspective By Aleksandrova Anna; Sheresheva Marina; Natalya Egorova
  2. Is the Housing Market of the most Tourism Penetrated places affected by Tourism Penetration? Ã The case study of Crete Island By D. Kavarnou; A. Nanda

  1. By: Aleksandrova Anna (Department of Economics, Lomonosov Moscow State University); Sheresheva Marina (Department of Economics, Lomonosov Moscow State University); Natalya Egorova (National Research University – Higher School of Economics (Nizhny Novgorod))
    Abstract: The purpose of the paper is to discuss problems and prospects of tourism clusters development in Russia. The Russian tourism market has huge potential, due to its history, culture, extremely diverse landscapes, rivers, lakes, mountains, flora and fauna, “hidden gems” of small towns with their ancient churches, original local museums and unique sights. In the last decade Russia has witnessed rapid quantitative growth as well as significant changes in strategic development of the tourism industry. Russian Government initiated a number of Federal target programs important for tourism and hotel industry development. In particular, tourism clusters are now in the focus of interest. In 2008, the Russian Government adopted the Concept of cluster policy in the Russian Federation, laying the cluster approach in the basis of the strategy of socio-economic development and considering it as a tool to raise competitiveness of industries and territories. However, the formation of clusters in Russia faces a number of problems due to the peculiarities of the Russian institutional environment. The main challenges facing tourism clusters development in Russia are described. The importance of development joint marketing strategy is underlined. The case of "Big Volga" tourism cluster in the Nizhny Novgorod region is presented.
    Keywords: tourism clusters, networks, regions, Russia
    JEL: L83 R12 L50 M21
    Date: 2015–08
  2. By: D. Kavarnou; A. Nanda
    Abstract: This study tries to identify whether the most tourism penetrated places are the ones which have the greatest influence in terms of house prices because of tourism. In Chapter 1 we briefly presented the economic, political and real estate framework of the country and particularly this of the islands. In chapter 2, we tested standard hedonic model for the housing markets of the islands which revealed some unique drivers. One of the basic driver, is this of tourism appearing constantly significant across particular islands; so natural question out of that is to look deeper into tourism penetration. By taking Crete Island as a case study, from 2006 to 2012, we firstly structure tourism indicators for each prefecture. Then, by using the principal component analysis, we create the Tourism Penetration Index (TPI) of each prefecture and we rank the four prefectures of Crete from the most tourism penetrated to the least one. The second stage of the analysis we regress the data of the four individual prefectures in three steps: firsly, we regress properties without the TPI effect; secondly, we use the Tourism Penetration Index (TPI) of the first stage corresponding the prefecture and the year to each observation, so as to observe its significance to the house prices of each prefecture. To the last step of the second stage of the analysis, we add to the hedonic models the TPI of the neighbour prefecture(s), so as to identify whether there is any the spill-over effect cause by tourism penetration. The focus here is to identify whether a) the TPIj of a prefecture j is significant on House Prices of the prefecture, b) its significance on House Prices of each prefecture follows the same ranking as in first stage and therefore, whether the most Tourism Penetrated places are the ones whose houses prices have been mostly affected by tourism penetration, c) House Prices are affected by the TPI of the neighbour prefecture (tourism spill-over effect). Models are tested for robustness across several specifications.
    Keywords: Crete Island; Housing Prices; Pca - Hedonic Regression Analysis; Tourism Penetration; Tourism Performance
    JEL: R3
    Date: 2015–07–01

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