Exploring the relationship between Airbnb and traditional accommodation for regional variations of tourism markets

2021 ◽  
pp. 135481662199017
Author(s):  
Birgit Leick ◽  
Bjørnar Karlsen Kivedal ◽  
Mehtap Aldogan Eklund ◽  
Evgueni Vinogradov
Keyword(s):  
Forecast Error ◽  
Regional Variations ◽  
Vector Autoregressive ◽  
Tourist Destinations ◽  
Regional Tourism ◽  
Long Run ◽  
Tourism Sector ◽  
Unobserved Effects ◽  
Error Decomposition ◽  
The Relationship

The relationship between Airbnb-based and traditional accommodation is mainly documented for key tourist destinations with a large tourism sector, while there is almost no evidence on this for other destinations. This article focuses on regional variations in the relationship between Airbnb-based and traditional accommodation across primary and secondary tourist destinations in Norway. Through an exploratory cluster analysis and a panel vector autoregressive (PVAR) model with forecast error decomposition of shocks (unobserved effects), it finds evidence of spillovers from Airbnb-based accommodation to traditional accommodation in secondary destinations. The demand for traditional accommodation is positively affected by Airbnb demand in the long run. Interestingly, a smaller effect is found with the supply-side of regional tourism markets in the Norwegian secondary tourist destinations. The growth of Airbnb may, thus, spur growth in the general tourism sector in such less frequented destinations.

Long-run relationship between investment and maintenance in local governments

Facilities ◽  
2016 ◽  
Vol 34 (11/12) ◽  
pp. 703-722 ◽  
Author(s):  
Arnt O. Hopland
Keyword(s):  
Local Governments ◽  
Reduced Form ◽  
Public Infrastructure ◽  
Data Set ◽  
Content Type ◽  
Vector Autoregressive ◽  
The Past ◽  
Long Run ◽  
The Relationship ◽  
New Infrastructure

Purpose The purpose of the paper is to analyze the relationship between maintenance of existent and investment in new infrastructure in Norwegian local governments. Design/methodology/approach A reduced form vector autoregressive system is estimated using a 29-year-long panel data set for the Norwegian local governments. Findings The data reveal that increased investment in new infrastructure sparks little, if any, increase in maintenance. The results also indicate that increased maintenance expenditures spark new investments. Because more investments mean more infrastructure and adequate maintenance should give that investments are not caused by maintenance, the results suggest that the local governments have not optimized their maintenance scheduling in this period. Originality/value Even though maintenance and investment are large expenditures that both serve as inputs to the stock of infrastructure, little is known about the relationship between the two. The findings in this paper suggests that Norwegian local governments have not planned their maintenance and investments well in the past, and this can be part of the explanation as to why local public infrastructure in Norway is presently in poor condition.

The importance of cooperation of tourism organizations at the regional level

2020 ◽  
Author(s):  
Janka Beresecká ◽  
Veronika Svetlíková
Keyword(s):  
Correlation Analysis ◽  
Multiple Regression ◽  
Oecd Countries ◽  
Regional Level ◽  
Economic Significance ◽  
Regional Tourism ◽  
Tourism Sector ◽  
Long Time ◽  
The Creation ◽  
The Relationship

According to the results from OECD countries, the position of the tourism sector in Slovakia has been unfavourable for a long time. Tourism in Slovakia is managed in a decentralized way, which is legally and financially supported in certain forms. Support is largely conditional on cooperation. Such an example is the support of the creation and activities of regional tourism organizations. In this paper, we will examine the economic significance and justification of cooperation among entities that are members of regional tourism organizations, by determining the relationship between the number of these organizations and the amount of revenue divided into four categories at the regional level. In this work we used multiple regression and correlation analysis. Based on their results, we identified the performance of companies according to the categories of achieved revenues. The results suggest that the most productive companies are companies with revenues ranging from 100000-500000 Euros per year. The paper also offers a framework of questions for further research related to sector governance, as well as an awareness of the importance and significance of cooperation.

scholarly journals Increasing Local Own-Source Revenue through The Development of The Regional Tourism Sector

2020 ◽  
Vol 4 (2) ◽  
pp. 273
Author(s):  
Harries Madiistriyatno ◽  
Ida Musdafia Ibrahim ◽  
Dudung Hadiwijaya
Keyword(s):  
Path Analysis ◽  
Regional Economy ◽  
Secondary Data ◽  
Primary Data ◽  
Product Strategy ◽  
Tourist Destinations ◽  
Regional Tourism ◽  
Tourism Sector ◽  
Analysis Technique ◽  
Strategy Performance

The tourism sector is one important sector that can contribute to improving the regional economy. However, the implementation of product and tariff strategies that are not optimal can have an impact on the low sales value and profits, and in turn affect regional revenues. This study aims to analyze the effect of product strategy performance, tariff strategy and sales value on profits. Using a quantitative approach, the population in this study is 20 tourist destinations in DKI Jakarta Province. Primary data were obtained through questionnaires and interviews, while secondary data were obtained through documents and related literature. The data analysis technique used is path analysis. The results of this study indicate product strategy, tariff strategy, and sales value have a partial and simultaneous effect both on profit. The dominant variables in this study are (1) the application of the tariff strategy as a determinant of sales value and (2) the application of the product strategy as a determinant of profit.Sektor pariwisata merupakan salah satu sektor penting yang bisa berkontribusi bagi peningkatan perekonomian daerah. Namun demikian, penerapan strategi produk dan tarif yang tak maksimal dapat berdampak pada rendahnya nilai penjualan serta laba yang diperoleh, dan pada gilirannya memengaruhi penerimaan daerah. Penelitian ini bertujuan untuk menganalisis pengaruh kinerja strategi produk, strategi tarif dan nilai penjualan terhadap laba usaha. Menggunakan pendekatan kuantitatif, populasi dalam penelitian ini adalah 20 destinasi wisata di Propinsi DKI Jakarta. Data primer diperoleh melalui kuesioner dan wawancara, sementara data sekunder diperoleh melalui dokumen dan literatur-literatur terkait. Teknik analisis data yang digunakan adalah path analysis. Hasil penelitian ini menunjukkan strategi produk, strategi tarif, dan nilai penjualan berpengaruh secara simultan terhadap laba. Variabel dominan dalam penelitian ini ialah (1) penerapan strategi tarif sebagai determinan penjualan dan (2) penerapan strategi produk sebagai determinan laba.

scholarly journals Relationship of Smart Cities and Smart Tourism: An Overview

2020 ◽  
Vol 1 (4) ◽  
pp. 194-202
Author(s):  
Nada Jasim Habeeb ◽  
Shireen Talib Weli
Keyword(s):  
Smart City ◽  
Growth And Development ◽  
Smart Cities ◽  
Conceptual Approach ◽  
Tourist Destinations ◽  
Tourism Sector ◽  
Close Relationship ◽  
Relationship Of ◽  
The Relationship ◽  
Smart Tourism

Smart city and smart tourism terms have become very popular in the past and present decades. Research in the field of smart tourist city still fails to cover the developments of the smart tourist city. The aim of the study is to review the recent literature on smart cities and smart tourism and their role in achieving a sustainable tourism sector and enhancing the competitiveness of the country’s tourism sector and make it more developed and modern. In this study, the relationship between the smart city and the tourism is presented and to present the relationship or conceptual approach between the smart city and the smart tourism. In addition, the current situation and the potential for growth and development of tourism in Iraq through the establishment and application of smart cities is identified. The recent studies that were mentioned in this study indicate that there is a close relationship between the smart city and smart tourism and also indicate that the smart city has a fundamental role in the growth and development of tourist destinations and the smart tourist city are results of the convergence and interconnection between the smart city and the tourist city. Finally, recommendations for the smart tourism city applications in Iraq are provided. Doi: 10.28991/HIJ-2020-01-04-07 Full Text: PDF

scholarly journals Exports as a Determinant of Inflation in Kenya: Disaggregated Econommetric Analysis

2017 ◽  
Vol 13 (10) ◽  
pp. 417
Author(s):  
Evans Ovamba Kiganda ◽  
Scholastica Adhiambo ◽  
Nelson Obange
Keyword(s):  
Time Series ◽  
Central Bank ◽  
Granger Causality ◽  
Impulse Response ◽  
Response Analysis ◽  
Vector Autoregressive ◽  
Impulse Response Analysis ◽  
Long Run ◽  
The Government ◽  
The Relationship

The purpose of this study was to examine exports as a determinant of inflation in Kenya: A disaggregated econometric analysis with specific objectives of establishing the relationship between domestic exports and inflation in Kenya and determining the relationship between re - exports and inflation in Kenya. This was occasioned by inconclusive and incomprehensive analysis on the relationship between exports and inflation given mixed results and failure by scholars to disaggregate total exports into domestic exports and re-exports. Correlation research design was employed using monthly time series obtained from Central Bank of Kenya (CBK) data spanning 132 months from January 2005 to December 2015.Vector Autoregressive (VAR) techniques of cointegration, Granger causality and impulse response analysis were employed. Results indicated a significant positive and negative long run relationship between domestic exports and re- exports with inflation in Kenya respectively that were supported by the impulse response analysis. A unidirectional causality running from domestic exports to inflation and re-exports to inflation was also established. The study concluded that domestic exports and re-exports determine inflation in Kenya with domestic exports having greater influence and therefore recommended that the government of Kenya needs to advocate for a trade policy that aims at reducing exports of domestically produced products and increase re-exports. This will ensure that only surplus is exported to reduce shortage of domestically produced commodities hence a reduction in price for the products.

IDENTIFICATION AND DICHOTOMIZATION OF LONG- AND SHORT-RUN RELATIONS OF COINTEGRATED VECTOR AUTOREGRESSIVE MODELS

2001 ◽  
Vol 17 (5) ◽  
pp. 889-912 ◽  
Author(s):  
Cheng Hsiao
Keyword(s):  
Prior Information ◽  
Autoregressive Process ◽  
Rank Condition ◽  
Vector Autoregressive ◽  
Long Run ◽  
Vector Autoregressive Process ◽  
Short Run ◽  
Cowles Commission ◽  
Necessary And Sufficient ◽  
The Relationship

We show that the usual rank condition is necessary and sufficient to identify a vector autoregressive process whether the variables are I(0) or I(d) for d = 1,2,.... We then use this rank condition to demonstrate the interdependence between the identification of short-run and long-run relations of cointegrated process. We find that both the short-run and long-run relations can be identified without the existence of prior information to identify either relation. But if there exists a set of prior restrictions to identify the short-run relation, then this same set of restrictions is sufficient to identify the corresponding long-run relation. On the other hand, it is in general not possible to identify the long-run relations without information on the complete structure. The relationship between the identification of a vector autoregressive process and a Cowles Commission dynamic simultaneous equations model is also clarified.

scholarly journals Sostenibilidad y resiliencia de los destinos turísticos litorales: apuntes desde el enfoque de los destinos inteligentes / / / \ \ \ Sustainability and resilience of coastal tourist destinations: notes from the smart destinations approach

2021 ◽  
pp. 332
Author(s):  
Josep Antoni Ivars Baidal ◽  
José Fernando Vera-Rebollo
Keyword(s):  
Key Words ◽  
Smart Cities ◽  
Management Approach ◽  
Tourist Destinations ◽  
Tourism Sector ◽  
Palabras Clave ◽  
Different Dimensions ◽  
Tourism Destinations ◽  
The Relationship ◽  
Smart Tourism

Resumen: Con la crisis provocada por la COVID-19 el concepto de resiliencia ha ganado importancia en el sector turístico, uno de los más afectados. Esta pausa ha provocado que se plantee un cambio de modelo basado en la sostenibilidad donde el modelo de Destinos Turísticos Inteligentes (DTI) aparecen como los principales beneficiados de esta crisis, ya que consiguen superar el objetivo del crecimiento y tienen un enfoque de planificación y gestión directamente relacionado la sostenibilidad del sector turístico. En este trabajo se pretende, mediante el análisis de diversos indicadores, caracterizar la relación entre sostenibilidad y resiliencia, analizar la contribución del modelo DTI a la sostenibilidad, identificar su posibles limitaciones, e identificar nuevas posibilidades para hacer más resilientes los destinos. Evolucionar hacia destinos más inteligentes requiere más atención que no unos simples indicadores y la interrelación de diferentes dimensiones: ambiental, sociocultural,… que junto con la incorporación de los ODS 2030, nos lleve hacia un modelo más integrado y sostenible.   Palabras clave: sostenibilidad, Destino Turístico Inteligente (DTI), resiliencia, modelo turístico, ciudades inteligentes, planificación.   Abstract: With the crisis caused by COVID-19, the concept of resilience has gained importance in the tourism sector, one of the most affected. This pause has provoked a change of model based on sustainability where the model of Smart Tourism Destinations (ITD) appear as the main beneficiaries of this crisis since they manage to overcome the objective of growth and have a planning and management approach contributing to the sustainability of the tourism sector and acting as a good example. This paper aims through the analysis of indicators to characterize the relationship between sustainability and resilience, to analyze the contribution of the DTI model to sustainability and its implications for becoming more resilient, as well as to identify limitations and identify new possibilities to make destinations more resilient. Evolving towards smarter destinations requires more attention than simple indicators and the interrelation of different dimensions: environmental, socio-cultural,... that together with the incorporation of the SDG 2030, will lead us towards a more integrated and sustainable model.   Key words: sustainability, Smart Tourism Destination (ITD), resilience, tourism model, smart cities, planning.

A Comparative Analysis on International Portfolio Flows to Asian Stock Markets With a Nonlinear Perspective

2018 ◽  
pp. 108-128
Author(s):  
Ayben Koy
Keyword(s):  
Stock Markets ◽  
Regime Switching ◽  
Vector Autoregressive ◽  
Portfolio Flows ◽  
Positive Effects ◽  
Long Run ◽  
International Portfolio ◽  
Nonlinear Relation ◽  
Market Regimes ◽  
The Relationship

After the Asian financial crisis was solved by International Monetary Fund in late 1997, the recovery in Asian economies begun by 1999. Most of the countries affected by the crisis needed to change their exchange rate policies. This chapter brings insight on how the international portfolio flows to Asian stock markets are affected from the shocks on EUR/USD parity. The weekly observations between 01/01/2010 to 21/04/2017 belong to India, Indonesia, Philippine, South Korea, Thailand, Malaysia, and Vietnam. Use of Markov regime switching vector autoregressive models presents the relationship according to the different regimes of the markets in the study. The results indicate that (1) the international portfolio flows through Asian stock markets are governed by a long run, nonlinear relation; (2) the shocks on EUR/USD parity have positive effects on the countries' portfolio flows except Malaysia; and (3) the responses to the shocks vary according to the market regimes or according to the countries.

scholarly journals The Relationship Between Foreign Direct Investment Oriented Economic Growth in Uganda: An Empirical Study Based on VAR Model

2021 ◽  
Author(s):  
Nabyonga Barbra ◽  
Hina Nawaz
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Var Model ◽  
Vector Autoregressive Model ◽  
Causality Test ◽  
Vector Autoregressive ◽  
Long Run ◽  
The Relationship

The purpose of this paper is to investigate the relationship between Foreign Direct Investment (FDI) and Economic growth as measured by Gross Domestic Product (GDP) over Uganda, from 1980-2018. Vector Autoregressive Model (VAR) and Granger Causality test were used. The results show thatlag 1 is the optimal lag hence bivariate VAR (1) model was used. GDP and FDI exhibits long-term equilibrium since the two-time series are cointegrated in long run. The causality test indicates that there exists a unilateral relationship between FDI and GDP, and FDI causes GDP growth and not vice versa. Understanding these causality links can help in future forecasting of Uganda's economic growth.

Cointegration and Causality Analysis of Portuguese Tourism and Air Quality

2022 ◽  
pp. 52-70
Author(s):  
Mara Madaleno ◽  
Margarita Robaina ◽  
Celeste Eusébio ◽  
Maria João Carneiro ◽  
Vitor Rodrigues ◽  
...  
Keyword(s):  
Air Quality ◽  
Tourism Industry ◽  
Air Pollutant ◽  
Strong Impact ◽  
Causality Analysis ◽  
Vector Autoregressive Models ◽  
Monthly Data ◽  
Vector Autoregressive ◽  
Long Run ◽  
The Relationship

This chapter aims to fill the knowledge gap regarding the relationship between tourism and air quality, specifically in the Portuguese tourism industry, with a focus on tourist nationality. It examines whether this relationship differs according to tourist origin. This study uses an air pollutant, PM10, with a strong impact on human health that has been highly neglected in the literature. Despite the great use of CO2 in assessing the causal relationship between tourism and the environment, this is not the best indicator of air quality (AQ). This chapter presents results by applying vector autoregressive models (VAR) with monthly data for the period of 2007-2017, considering the nationality of tourists that visit Portugal. Results suggest that PM10 levels and tourism are negatively correlated (in the Pearson sense) with a link between them in the long run. This relationship is confirmed by the four methodologies tested. The negative relation in Pearson and cointegration results suggests that tourism can be affected by AQ in Portugal and may lead to better AQ.

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