scholarly journals Efficiency in the Holiday and Other Short-Stay Accommodation Industry

2020 ◽  
Vol 12 (22) ◽  
pp. 9493
Author(s):  
Pilar Alberca ◽  
Laura Parte
Keyword(s):  
Data Envelopment Analysis ◽  
Efficiency Index ◽  
Data Envelopment ◽  
Short Stay ◽  
Limited Evidence ◽  
Tourist Destination ◽  
Firm Level ◽  
Wine Tourism ◽  
Tourism Sector ◽  
Tourism Destinations

This study extends previous empirical efficiency research by focusing on a tourism sector which has limited evidence to date: the holiday and other short-stay accommodation industry (tourist apartments and hostels). The sample comprises 12,864 firm-level observations during the period 2005–2016. First, we calculate the efficiency index using a non-radial Data Envelopment Analysis (DEA). Second, we test the association between efficiency index and contextual factors using both Tobit and bootstrapped regression. Another major contribution is the use of a radial DEA model to confirm the results of the study. The current study offers new insights by focusing on an industry with scarce evidence, using radial and non-radial DEA approaches, and examining a wide variety of efficiency drivers. The efficiency results are examined by year, region and tourist destination type (including tourism dimensions such as rural, cultural and wine tourism). This is an important novelty of the study. The main findings reveal that the most efficient tourism destinations correspond to mixed or diversified destinations: those that combine some dimensions such as cultural, rural and wine tourism. The regressions models show that environmental, macroeconomic and business variables are drivers of tourism competitiveness. Taken together, the study goes a step further in the efficiency field.

scholarly journals Influence of Tourism Destination Products and Images on Tourist Visiting Decision to Kota Seribu Sungai Banjarmasin

2018 ◽  
Vol 2 (2) ◽  
pp. 73
Author(s):  
Devin Cahya Triansya ◽  
Beta Budisetyorini
Keyword(s):  
Positive Influence ◽  
Destination Image ◽  
Tourism Destination ◽  
Tourist Destination ◽  
Tourist Destinations ◽  
Tourism Sector ◽  
The World ◽  
Tourism Destinations ◽  
The Impact ◽  
The City

 AbstractThe continuous rapidly growth of tourism sector with the tight competition in the field of tourismmakes not all tourist destinations in the world always experience an increase in the number of tourist visits each year. Banjarmasin City, dubbed the “Kota Seribu Sungai” or "City of Thousand Rivers" and is known as the Thousand Rivers tourist destination has experiencedfluctuate number of tourist arrivals and tend to decline. The fluctuate number of tourist arrivalssourced from tourist visiting decisions can be influenced by various factors, including tourism destination productsand image. This study aims to see the effects of tourism destination products consisting of physical products, people, packages, and programsalsothe image of tourism destinations consisting of cognitive image and affective image on tourists visiting decision to the city of Thousand River Banjarmasin. The data obtained were taken by questionnaire to 123 tourists by accidental sampling. The results of the research were analyzed using multiple linear regression with two equations, namely (I) The influence of tourism destination products on tourist visiting decision and (II) The impact of tourism destination image on tourist visiting decision. The resultsfound the positive influence of tourism destination products to thetourist visiting decision of 54.5% and the image of tourism destination on the tourist visiting decision of 53.4% and the rest of 45.5% and 46.6% influenced by other factors not examined. The results of the analysis also showed the effect of tourism destination products variable partially consisting of physical products, packages, and programs have an effect on the decision of tourists while people have no influence. As for the variable image of tourism destinations in partial consisting of cognitive image and affective image affect the decision of tourists visiting to Kota Seribu Sungai Banjarmasin. 

scholarly journals A Revised Inverse Data Envelopment Analysis Model Based on Radial Models

Mathematics ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 803
Author(s):  
Xiaoyin Hu ◽  
Jianshu Li ◽  
Xiaoya Li ◽  
Jinchuan Cui
Keyword(s):  
Data Envelopment Analysis ◽  
Efficiency Index ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Numerical Examples ◽  
Wide Range ◽  
Dea Models ◽  
Overall Efficiency ◽  
Decision Making Units

In recent years, there has been an increasing interest in applying inverse data envelopment analysis (DEA) to a wide range of disciplines, and most applications have adopted radial-based inverse DEA models. However, results given by existing radial based inverse DEA models can be unreliable as they neglect slacks while evaluating decision-making units’ (DMUs) overall efficiency level, whereas classic radial DEA models measure the efficiency level through not only radial efficiency index but also slacks. This paper points out these disadvantages with a counterexample, where current inverse DEA models give results that outputs shall increase when inputs decrease. We show that these unreasonable results are the consequence of existing inverse DEA models’ failure in preserving DMU’s efficiency level. To rectify this problem, we propose a revised model for the situation where the investigated DMU has no slacks. Compared to existing radial inverse DEA models, our revised model can preserve radial efficiency index as well as eliminating all slacks, thus fulfilling the requirement of efficiency level invariant. Numerical examples are provided to illustrate the validity and limitations of the revised model.

scholarly journals Faktor Penentu Setting Ruang Destinasi Wisata terhadap Spending Rate Wisatawan di Pantai Baron Yogyakarta

2021 ◽  
Vol 7 (2) ◽  
pp. 85-99
Author(s):  
Wastuwedha Kidung Dwi Satria ◽  
Tarcicius Yoyok Wahyu Subroto
Keyword(s):  
Local Government ◽  
Time Budget ◽  
Tourist Destination ◽  
Determinant Factors ◽  
Space Setting ◽  
Tourism Sector ◽  
Beach Tourism ◽  
Tourism Destinations ◽  
Data Collection Technique ◽  
Factor C

Title: Determinant Factors of Tourism Destination Space  Setting to Tourist Spending Rate at Baron Beach Yogyakarta   Gunungkidul Regency is popular for a beach tourist destination, committed for improving tourist’s arrival. However, for the past few years, the Original Local Government (OLG) of the tourism sector decreased by 2017, 2018, and 2019. Beach tourism provides the biggest percentage of The Original Local Government Revenue compared to other tourism destinations. One of the indicators that affects revenue from the tourism sector is the tourist spending rate. Therefore, it requires significant effort to identify the determinant factors of space settings that affect spending rates in Baron Beach. The research method used is mix method with the data collection technique used Behavioral Mapping that consist of Place Centered Mapping, Person Centered Mapping, and Time Budget. The conclusion of this research is the space setting of the Baron beach tourist destination is determined by 2 aspects of space and time. (a) The aspect of space is divided into 3 categories. They are high, medium, and low. (b) The aspect of time is divided into 3 categories. They are long, medium, and short. The determinant factors of space settings that affect spending rates in tourism destinations of Baron Beach are (a) spatial factor, (b) amenity factor (c) time factor.

Benchmarking the efficiency model for working capital management: data envelopment analysis approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Himanshu Seth ◽  
Saurabh Chadha ◽  
Satyendra Sharma
Keyword(s):  
Data Envelopment Analysis ◽  
Manufacturing Sector ◽  
Fixed Effect Model ◽  
Manufacturing Industries ◽  
Data Envelopment ◽  
Capital Management ◽  
Working Capital ◽  
Firm Level ◽  
Working Capital Management ◽  
Content Type

PurposeThis paper evaluates the working capital management (WCM) efficiency of the Indian manufacturing industries through data envelopment analysis (DEA) and empirically investigates the influence of several exogenous variables on the WCM efficiency.Design/methodology/approachWCM efficiency was calculated using BCC input-oriented DEA model. Further, the panel data fixed effect model was used on a sample of 1391 Indian manufacturing firms spread across nine industries, covering the period from 2008 to 2019.FindingsFirstly, the WCM efficiency of Indian manufacturing industries has been stable over the analysis period. Secondly, the capacity to generate internal resources, size, age, productivity, gross domestic product and interest rate significantly influence WCM efficiency.Research limitations/implicationsFirst, the selected study period has observed various economic uncertainties including demonetization and recession, so the scenario might differ in normal conditions or country-wise. Second, the findings might not be generalizable to the developed economies, since the current study sample belongs to a developing economy, which further provides scope for comparative study.Practical implicationsAn efficient model for managing the working capital comprising most vital determinants could enhance the firms' valuation and goodwill. Also, this study would be helpful for financial executives, manufacturers, policymakers, investors, researchers and other stakeholders.Originality/valueThis study estimates the industry-wise WCM efficiency of the Indian manufacturing sector and suggests measures to the concerned parties on areas to focus on and provide evidence on the estimated relationships of firm-level and macroeconomic determinants with WCM efficiency.

Towards a sustainable urban tourism development in Europe

2017 ◽  
Vol 23 (2) ◽  
pp. 243-259 ◽  
Author(s):  
Irem Önder ◽  
Karl Wöber ◽  
Bozana Zekan
Keyword(s):  
Data Envelopment Analysis ◽  
Sustainable Tourism ◽  
Tourism Development ◽  
Urban Tourism ◽  
International Tourism ◽  
Data Envelopment ◽  
Virtual Reference ◽  
Political Implications ◽  
Micro Level ◽  
Tourism Destinations

The development of indicators and metrics systems has been identified as being of paramount importance by many tourism boards and international tourism organizations. This article discusses the bottom-up, micro-level approach of TourMIS, which is a platform for exchanging tourism statistics among tourism organizations, for collecting measures of sustainable urban tourism development. The authors provide a synthesis of various frameworks for sustainable tourism indicators for subnational regions and cities, concluding that it is more feasible to analyse existing sustainable tourism indicators than to introduce new measures lacking in direct practical applicability for the organizations. The application of data envelopment analysis (DEA) for benchmarking urban tourism destinations is then demonstrated by assessing measures available in TourMIS. Findings include inefficiency scores that suggest both managerial and political implications. Furthermore, the concept of a virtual reference destination assisting managers and politicians to analyse their destination’s strengths and weaknesses is introduced.

scholarly journals DAMPAK PARIWISATA TERHADAP TATA RUANG PERMUKIMAN

2020 ◽  
Vol 4 (3) ◽  
pp. 301
Author(s):  
Sharfina Bella Pahleva Wahyono ◽  
Suzanna Ratih Sari
Keyword(s):  
Spatial Structure ◽  
Theoretical Foundation ◽  
Review Literature ◽  
Tourist Destination ◽  
Cultural Economic ◽  
Cultural Community ◽  
Tourism Sector ◽  
Spatial Changes ◽  
The Social ◽  
Tourism Destinations

The tourism sector is currently one of the sectors that are relied upon to improve the economy of a region. Various types of tourism destinations emerge, one of which is a tourist destination that comes from settlements in the form of villages or tourist villages. This gives a variety of impacts including in terms of the social, cultural, economic, and spatial structure of the settlement. The writing of this article aims to get a theoretical foundation that can later support in solving the problem being studied and the writer can better understand the problem being studied. The method used in this paper is to review literature by gathering several journals that are relevant to the topic. The results of writing this article found that spatial changes that occur in settlements that add a new function as a place of tourism are a form of adaptation of people, people, and tourists (tour operators), with their environment in fulfilling these new functions in order to run well. The factors that influence changes in the layout of a settlement with the existence of tourism activities include type, location of tourism, and social-cultural community and tourists who visit.

STRATEGIES TO INCREASE DOMESTIC TOURIST VISITS

2021 ◽  
Author(s):  
Agus Salim
Keyword(s):  
Social Media ◽  
Tourist Destination ◽  
Tourist Attractions ◽  
The Public ◽  
Tourism Sector ◽  
Tourism Destinations ◽  
The Government ◽  
The Right ◽  
Role Of The Government

The concept of strategy is the composition of the mission in an organization or company in planning activities in order to achieve a goal and be on target by considering many aspects, namely the aspect of competition and the influence of the strength of the factors from the environment. The role of the government is very important in formulating strategies to support the development of tourism destinations, especially new destinations.There are several factors that are fulfilled in developing an area to become a tourist destination, including objects, facilities, infrastructure, transportation. In addition, in this era of all-around social media, there are so many tourist objects that are viral to the public via social media such as Instagram, TikTok, Facebook and others. Tourist attractions managers must be able to take advantage of this social media phenomenon because it will greatly impact a very significant increase in visits.In the midst of the current corona virus pandemic, it has resulted in a significant decline in the tourism sector. Therefore, the right strategy to prepare for the new normal era really needs to be prepared.

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