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The Impact of the Sharing Economy on Residential Prices in Prague
Název práce v češtině: Vliv sdílené ekonomiky na ceny nemovitostí v Praze
Název v anglickém jazyce: The Impact of the Sharing Economy on Residential Prices in Prague
Klíčová slova: Sdílená ekonomika, Airbnb, hedonická regrese, crowd-based kapitalismus, transakční ceny, realitní trh, regulace
Klíčová slova anglicky: Sharing economy, Airbnb, digital platform, hedonic regression, crowd-based capitalism, transaction prices, housing market, regulation
Akademický rok vypsání: 2017/2018
Typ práce: bakalářská práce
Jazyk práce: angličtina
Ústav: Institut ekonomických studií (23-IES)
Vedoucí / školitel: PhDr. Michal Hlaváček, Ph.D.
Řešitel: skrytý - zadáno vedoucím/školitelem
Datum přihlášení: 25.05.2018
Datum zadání: 25.05.2018
Datum a čas obhajoby: 11.06.2019 09:00
Místo konání obhajoby: Opletalova - Opletalova 26, O206, Opletalova - místn. č. 206
Datum odevzdání elektronické podoby:09.05.2019
Datum proběhlé obhajoby: 11.06.2019
Oponenti: Mgr. Petr Hanzlík, Ph.D.
 
 
 
Kontrola URKUND:
Seznam odborné literatury
HLAVÁČEK, Michal; KOMÁREK, Luboš. Property price determinants in the Czech Regions. Financial Stability Report of the Czech National Bank, 2009, 82-91.

KOOPMAN, Christopher; MITCHELL, Matthew; THIERER, Adam. The sharing economy and consumer protection regulation: The case for policy change. J. Bus. Entrepreneurship & L., 2014, 8: 529.

SHEPPARD, Stephen, et al. Do Airbnb properties affect house prices. Williams College Department of Economics Working Papers, 2016, 3.

SÝKORA, Luděk. Urban development, policy and planning in the Czech Republic and Prague. In: Spatial Planning and Urban Development in the New EU Member States. Routledge, 2017. p. 127-154.

WOOLDRIDGE, Jeffrey M. Introductory econometrics: A modern approach. Nelson Education, 2015.
Předběžná náplň práce
Research question and motivation

Sharing economy is a phenomenon which has dramatically risen by now. Unfortunately, there can be more obstacles than benefits if the government will not be able to treat it right way.
I will focus on an impact of one of the biggest platform for sharing accommodation Airbnb. I will analyse the impact of Airbnb platform on apartments prices in Prague, Czech Republic. The main question is if increasing prices of accommodation in Prague are influenced by increasing number of providers of short-term rental services. The aim should be an analysis of this impact in different Prague districts and consequent recommendation of the regulation framework. The other question is if Airbnb is still a sharing economy platform or a “crowd-based” capitalism platform.
In these days there is a big deal with approach to Airbnb (or other platforms) regulation. A magnitude of the influence is not known so far, mostly because there is no regulation yet (i. e. lessor´s earnings from this should be considered as an income, thus be a subject to the income tax). Moreover, the more apartments will be used for Airbnb short-term rental, the less apartments will be available for long-term rental which can cause troubles mainly to young people.

Contribution

The outcomes of these analyses should be used as a base for regulatory framework for sharing economy. Also, it should provide the Airbnb impact analysis. There does not exist such study focusing on the correlation among sharing economy and increasing prices of apartments in Prague, although there is a significant discussion about it nowadays.

Methodology

The process will be observed in ten main districts in Prague. I will use data scraped from Airbnb.com and AirDNA.co which contain information about every single offer of short-term accommodation in Prague. These data can be averaged on districts and some time periods, therefore be used as panel data. Also, I will be use scraped data from Sreality.cz web to get information about actual prices of apartments in Prague and thus analyse the connection among these two sets of data.

Outline
1. Introduction
2. Analysis of foreign research
3. Regulation overview
4. Model
4.1 Data and variables description
4.2 Panel data analysis
4.3 Model testing
4.4 Outcomes evaluation
5. Outcome overview
6. Recommendation of the regulation approach
7. Conclusion
 
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