دانلود مقاله نقش توریسم و اقامت هتل در قیمت مسکن
چکیده
1. مقدمه
2. داده ها
3. مدل و روش
4. نتایج تجربی و بحث
5. نتیجه گیری
منابع
Abstract
1. Introduction
2. Data
3. Model and methodology
4. Empirical results and discussion
5. Conclusion
References
چکیده
این مقاله به بررسی تاثیر گردشگری و اقامت در هتل بر قیمت مسکن در 27 کشور اتحادیه اروپا در بازه زمانی 2005 تا 2018 می‌پردازد. نتایج داده‌های پانل پویا تأثیر قابل‌توجه عوامل تعیین‌کننده قیمت مسکن استاندارد را تأیید می‌کند: رشد اقتصادی، بیکاری و اعتبار به بخش خصوصی. در حالی که جمعیت نقش مهمی ایفا نمی کند. نتایج ما به طور تجربی تایید کرد که گردشگری به طور قابل توجهی قیمت مسکن را بدون توجه به شاخص های استفاده شده افزایش می دهد. با این حال، یافته اصلی ما این بود که اقامت در هتل به عنوان حائل از رشد قیمت مسکن ناشی از گردشگری است. نتایج به‌دست‌آمده شواهدی مبنی بر ارتباط متقابل بین قیمت‌های گردشگری، اقامت در هتل و مسکن در سطح ملی ارائه کرد.
توجه! این متن ترجمه ماشینی بوده و توسط مترجمین ای ترجمه، ترجمه نشده است.
Abstract
This paper investigates the influence of tourism and hotel accommodation on housing prices in 27 EU countries over the period from 2005 to 2018. The results of dynamic panel data confirmed the significant influence of standard housing prices determinants: economic growth, unemployment and credit to the private sector, whilst the population does not play a significant role. Our results empirically confirmed that tourism significantly increases housing prices regardless of used indicators. However, our main finding was that hotel accommodation plays a role as a buffer of the growth in housing prices caused by tourism. Obtained results provided evidence of interconnections among tourism, hotel accommodation and housing prices at a national level.
Introduction
Over the last decades, prior to the COVID-19 outbreak, global travel demand increased faster than economic growth (ETC, 2019). One of the factors that makes such travel possible is affordable, cheaper and diverse accommodation around the world. A variety of Internet companies, by promoting sharing economy in tourism, facilitate accommodation in homes of local residences (peer-to-peer accommodation). There is no doubt that Airbnb and similar internet platforms have shaken up the tourism accommodation structure and have been the focus of research (Dolnicar, 2019; Núñez-Tabales, Solano-Sanchez, & Caridad-y-López-del-Río, 2020). Research identifies paid online peer-to-peer accommodation as the force that has “distributive effects on tourism industry and society as whole” (Dolnicar, 2019, p. 248).
Conclusion
This paper investigates the effect of tourism and hotel accommodation on housing price dynamics in 27 EU countries from 2005 to 2018 using panel data techniques. Obtained results confirm that tourism raises housing prices in EU countries. We provide evidence of spillover effect in the growth of housing prices from tourism attracted geographical area at a national level. Moreover, the results are robust regardless of the used indicator of tourism and different model specifications.
The main finding of this paper is the negative impact of hotel accommodation on housing prices. We identify the growth of hotel accommodation as a buffer of housing prices growth at country level. Precisely, we confirm that the growth in the number of hotels and growth in the number of hotel beds decreased housing prices in EU countries.
House prices
GDP per capita
Population
Unemployment
Credit
Receipts
Overnights
Tourist arrivals
Hotels-growth
Beds-growth
Permits