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1999, International Journal of Hospitality Management
This study employs a stochastic frontier technique to estimate managerial efficiency levels in the hotel industry. The only prior efficiency study in this sector employed a linear-programming technique termed data envelopment analysis (DEA). That study found the hotel industry to be operating at a 89% efficiency level. The stochastic frontier approach overcomes many of the potential statistical limitations of DEA and allows for additional insights on efficiency in the hotel market. The average efficiency measures for the hotel industry estimated by the stochastic frontier approach are high and consistent with the results obtained using DEA. In particular, average efficiency was estimated at 89.4%, with the most and least efficient hotels operating at a 92.1% and a 84.3% efficiency level, respectively.
Economic Research-Ekonomska Istraživanja, 2016
The purpose of this article is to provide insights into hotel efficiency and investigate which hotels are performing better. Hotel efficiency is examined using data envelopment analysis (DEA) and the outputoriented BCC model is applied on the hotels' internal accounting information. The study further explores whether there are differences in efficiency between hotels of different size and quality. The results show that average efficiency is high, but not all hotels are performing at their maximum efficiency. A significant relationship between size and hotel efficiency has been found. This study provides a potential framework for efficiency measurement and contributes to the growing body of knowledge in the area of hotel efficiency in the context of a country that is predominantly concentrated on seasonal seaside tourism. The results of this research offer useful insights for hotel managers, suggest ways of enhancing hotel productivity and provide guidance on which aspects to focus their attention in the decision-making process.
Performance evaluation has become an important improvement tool for hotels to be sustainable in today's highly competitive environment. Although the evaluation of hotel efficiency has been approached from various perspectives, difficulties were encountered when multiple inputs and outputs relative to a hotel's performance needed to be considered. The purpose of this paper is to examine Malaysian hotel efficiency by adopting an approach using a framework of non-parametric programming -Data Envelopment Analysis (DEA). DEA is very useful for application in a multiple inputs and outputs settings where it combines them objectively into an overall measure of organisational efficiency called the Malmquist's Total Factor Productivity (TFP) index. It is concluded that DEA can be used to measure the efficiency of Malaysian hotels.
Series, 2019
The tourism industry, in particular the hotel sector, is a highly competitive market. In this context, it is important that an hotel chain operates efficiently if it wants to improve or maintain its market position. The objective of this work is to compare the relative efficiency of hotel chains operating in Spain. To do this, we have designed a stochastic frontier model to measure revenue efficiency as a function of various different inputs such as total staff or number of rooms. Given that chains vary considerably in size, both inputs and outputs are normalized by an appropriate size measure. In contrast to most previous work, we account for heterogeneity in hotel chains by introducing relevant variables, such as the proportion of hotels in the chain with three stars or fewer, into the efficiency term of the stochastic frontier model. Our results suggest that in the Spanish case, in the period of the economic crisis, hotel chains increase overall revenue by investing in fewer, big hotels rather than more, small hotels. Furthermore, in terms of revenue efficiency, it appears better for hotel chains to invest in hotels of three or fewer stars than in higher star rated hotels. Finally, there is no clear evidence of a relationship between the size of a hotel chain and its efficiency.
Sustainability
The level of contribution of the hotel industry depends on different factors of production that they use in the provision of their services The way they use these factors of production will allow them to act efficiently, in order to improve profitability and market position. Ecuador, in recent years, has directed public policies betting on the development of this industry. In this sense, this research seeks to measure the efficiency and productivity of the Ecuadorian hotel industry. For this purpose, a significant sample has been selected; it consists of 147 businesses that provided hotel services during the period 2013–2017. These businesses are classified according to their quality and geographic location. This information has been useful to make a balanced panel data with one output (Revenue) and three inputs (Total_personnel, the non-current assets, and Consumption) by using the Data Envelopment Analysis (DEA). The results, which proved to be solid and accurate, indicate that th...
Eastern Journal of European Studies
The current paper aims to analyse and estimate the Bulgarian hotel industry's efficiency, focusing on both cost and profit efficiency. We attempt to examine whether service quality, as well as tourism specialization, affect hotel industry efficiency. By using the Battese and Coelli (1995) model this study applies a Stochastic frontier analysis with 309 Bulgarian hotels analysed for the period of 10 years (2008-2017). The methodology allows to be estimated the efficiency level and influencing factors, as well as decompose the error into both, random and inefficiency error. The results show that the cost efficiency decreases when the hotel category increases and significantly fluctuates over time in a decreasing tendency. On the other hand, quality service and tourism specialization cannot unambitiously explain the profit inefficiency of Bulgarian hotels. Thus, the hotel management needs to apply strategies related to differentiating hotel products and/or better pricing, rather than tourism development of the destination.
International Journal of Contemporary Hospitality Management
Purpose This paper aims to investigate efficiency in the UK hotel industry and further evaluate the impacts of hotel characteristics and industry environment on efficiency. Design/methodology/approach The network data envelopment (DEA) weak link approach is used for the efficiency analysis, while the determinants of efficiency are evaluated by bootstrapped truncated regression. Findings The findings show that the UK hotel industry is very inefficient. The results of overall efficiency deconstruction show that the second-stage production process experiences an even lower level of efficiency than that of the first stage. The second-phase analysis shows that both the hotel-specific characteristics and the industry-specific characteristics are significantly related to UK hotel efficiency. Research limitations/implications The robustness of the results is affected because a single set of input-intermediate product-outputs and a single DEA method were used. Therefore, further studies can ...
Tourism Economics, 2014
A sample of 28 prestige hotels on the Algarve (Portugal) is analysed to compare the results of the data envelopment analysis and stochastic frontier approach techniques in order to measure cost, allocative and technical efficiencies. The results suggest that efficiencies are similar when they are calculated by these two models. Companies with five-star hotels, hotels with golf courses and owners of only one hotel have higher efficiency levels than their peers. One explanation for this evidence is that these models express themselves through cost or production technologies, allowing them a better fit.
European Journal of Management and Business Economics
PurposeThis paper aims to understand the most efficient hotel system and why efficiency varies across years and between the two differing types of hotel businesses in Turkey.Design/methodology/approachA data envelopment analysis (DEA) analysis was used to characterise the efficiency of all-inclusive (AI) and bed and breakfast (B&B) hotel businesses with one output (total revenue) and three inputs (labour, food and capital costs). The Malmquist approach is then used to discern changes in total efficiency (TTE) and intertemporal shifts in the efficiency frontier (technological change (Tch)).FindingsThe results reveal that the AI hotel operates at 100% efficiency in the summer and year-round. The B&B hotel business operates at 89.6% with variable constant returns to scale during the summer and with 100% efficiency. The results of the Malmquist approach indicate that the total factor productivity grew in the years 2015, 2016, 2018 and 2019, while the other years were marked by inefficie...
The present paper studies the relative efficiency between hotels operating under a brand and hotels operating independently, in the island of Crete, Greece, using the Data Envelopment Analysis. Interestingly enough, we find that nationally branded hotels are the relatively most efficient; internationally branded are the least efficient, while those operating under a local brand and the independent ones lie in between.
This study is ranked 14 provinces of Iran with structure and function of tourism, by taking the 8 criteria in tourism fields and Compromise Programming model. Then, the performance of hotel activities in the provinces is calculated using data envelopment analysis models and SE-CRS, SE-VRS and SBM techniques in four models. The results showed that in the first model Ardabil, Kermanshah, Gilan, in the second model Ardabil, Mashhad, Kermanshah, Gilan, in the third model Ardabil, Tehran, Gilan, Ardabil and Hamadan, and in the fourth model Tehran, RazaviKhorasan, Gilan and Hamadan have efficient hotel industry. We used Pearson's coefficient of correlation and the standard deviation to determine which model is more reliable and efficient. The coefficient of correlation indicates that between the ranking of provinces in the first, second, third and fourth models,there is not significant different, but respectively, according to the standard deviation, the efficiency evaluation have greater accuracy and less error in the fourth, third, second and first models.
The International Journal of Science & Technoledge, 2021
The efficiency assessment is based on the implementation of the Data Envelopment Analysis DEA in five hotels. This study examined the effectiveness of hotel services. The analysis was conducted by the use of Charnes, Cooper and Rhodes (CCR) model to achieve the objective of identifying efficient and non-efficient hotels. Three and two hotels are found to be efficient and inefficient respectively. It was then concluded that inefficient hotels should emulate the efficient hotels in order to maximize their profit. .
International Journal of Hospitality Management, 2013
The tourism industry, particularly the hotel sector, is becoming increasingly competitive and dynamic as a result of the pressures of globalized supply and demand in a context of uncertainty. The aim of this study is to discuss the efficiency of hotel companies in the Algarve (Portugal), a tourist destination of excellence in southwest Europe. In particular, we intend to assess the efficiency of the hotels in terms of star rating (four and five-star hotels), their location (Windward and Leeward), owning or not golf courses and owning just a single hotel or more than one. This analysis will be based on the parametric method of stochastic frontier approach using a revenue function. We found relevant levels of inefficiency. The results also point out the important role of the operational environment, particularly the hotel location and the existence of golf facilities. Star rating and owning multiples hotels do not seem to be so relevant.
Applied Economics, 2009
In this article, the innovative twostage procedure of Simar and Wilson (2007) is used to estimate the efficiency determinants of Portuguese hotel groups from 1998 to 2005. In the first stage, the hotels’ technical efficiency is estimated with Data Envelopment Analysis (DEA), in order to establish which hotels have the most efficient performance. These could serve as peers to help
Productive efficiency in hotels varies greatly. Based on a large dataset on the hotel industry in an Italian region, a two-stage approach was used, first to distinguish the component of inefficiency arising from external factors, linked to destination, and then to isolate the role that firm-level variables play on hotel efficiency. Stage 1 was carried out with non-parametric frontier analysis; stage 2 was based on an econometric model which regresses inefficiency scores on a set of firm-level variables. Investment behavior was found to play an important role, and family management had a negative influence on productive efficiency.
International Journal of Quality & Reliability Management, 2008
PurposeThis paper aims to develop a balanced scorecard for measuring the comparative efficiency of Korean luxury hotels and then set the benchmark of performance standards for Korean luxury hotels in the increasingly competitive hotel industry. It also aims to identify the root causes of inefficiencies and then propose ways to improve the competitiveness of Korean luxury hotels.Design/methodology/approachThis paper proposes data envelopment analysis (DEA) to measure the comparative efficiency of six luxury hotel chains in Korea, relative to prior periods and their key competitors. In particular, this paper develops the Charnes, Cooper and Rhodes (CCR) model that is designed to derive weights without being fixed in advance. Also, the results of the CCR model with constant returns to scale were compared to those of the Banker, Charnes and Cooper (BCC) model with decreasing returns to scale.FindingsThe paper finds that the declining efficiency within some Korean luxury hotels coincides...
This study uses the data envelopment analysis (DEA) and the modified method Super Efficiency with the assumption of constant returns to scale and increasing returns to scale efficiency of the hotel industry in 31 countries.The data needed is obtained from the results of the survey restores in 2011. Inputs are included; the number of beds, the amount of energy (electricity, water, and fuel), gross capital formation, and compensation paid to employees and dedicated payments. Also, the output is the value added of restores. The results of games, software showed that the hotel operations had efficiently operate in six provinces with the efficiencies of under the constant returns to scale, 12 provinces have the terms of technical performance variable returns to scale and In 6 on the performance scale. The average of technical efficiency in the case of constant returns to scale is 0.75 and in the increasing returns to scale is 0.99. It means that, on average, 66.55 percent of the province should save intheir inputs of the hotel's activities to achieve technical efficiency and they should 69.51 percent save in their inputs of hotel activities to achieve to the technical and scale efficiency.
Tourism Economics, 2018
This article explores the performance of the hospitality sector in Sardinia (Italy) using empirical data collected from company balance sheets (from 2004 to 2013). A standard data envelopment analysis (DEA) is run using sales revenue as an output and the monetary value of all tangible and intangible assets as well as labour costs as inputs. Following the Simar–Wilson approach, a post-DEA is also carried out to investigate the factors that influence hotels’ economic efficiency. The empirical results show that business default and the cost of money negatively influence hotels’ performance and that firms located in highly specialized areas with a strong seasonality are relatively inefficient. Furthermore, the short-run debt index and the long-term debt index positively impact efficiency.
This study is concerned with benchmarking the hotel industry in the Sultanate of Oman besides identifying the environmental factors that influence the operational efficiency of hotels. The benchmarking analysis is carried out through data envelopment analysis (DEA), used essentially to evaluate the efficiency ratios and the slack values of a selected sample of 58 hotels. At a subsequent stage, the technical efficiency scores are regressed on a set of environmental variables via Tobit analysis in an attempt to identify possible sources of inefficiency. Failure of Tobit model to achieve statistical significance, combined with potentially correlated outputs, instigated recourse to an integrated stochastic model based on the framework presented in Banker & Natarajan (2008). The new model not only permits to gauge the impact of contextual variables on efficiency but also allows for us to further assess the outcomes of the DEA analysis and achieve more consistent decisions.
International Journal of Services and Operations Management, 2008
In the wake of catastrophic natural disasters and rising threats of terrorism, the hotel industry has seen a decline in revenue and an increase in competition. To avoid a downward spiral, the hotel industry needs to develop more competitive business strategies in order to make its operations lean and robust. These strategies may include: customer relationship management, yield management, niche marketing and continuous improvement of financial health. The success of these strategies hinges on the ability of hotel managers to assess the financial efficiency of their hotel in comparison to
International Journal of Hospitality Management, 2005
In this paper, we analyse the technical efficiency and allocative efficiency of hotels belonging to the Portuguese state-owned chain, Pousadas de Portugal, in order to investigate the performance of the chain as a whole. The resource-based view of management sees hotels as heterogeneous, but with different competitive advantages and disadvantages, which brings about differences of performance within the chain. In investigating the efficiency of the constituent units, we find that the results are, at best, mixed. Therefore, we propose a management revision to enforce efficiency, based on a governance-environment framework. r (C.P. Barros).
Journal of Environmental Planning and Management, 2014
Despite the increasing number of protected areas around the world and their importance in the conservation of species and ecosystems, protected areas management capacity remains difficult to evaluate. A standard is needed to help policy makers compare the goals with the results obtained. This empirical research builds a tool to analyze the management efficiency and predicts the new touristic outcomes in case of a policy change. Using as example the state parks agencies in the USA, this paper develops a technological frontier using data envelopment analysis based on the Protected Areas Management Approach. After that, a prediction of the outcomes is analyzed with a budget change for any state park agency. Data suggest that many of them need to improve their performance to be more efficient. Another result obtained shows how budget changes will affect each agency's performance in different degrees and, therefore, budget reductions should be modeled separately.
Applied Economics, 2009
In this article, the innovative twostage procedure of Simar and Wilson (2007) is used to estimate the efficiency determinants of Portuguese hotel groups from 1998 to 2005. In the first stage, the hotels’ technical efficiency is estimated with Data Envelopment Analysis (DEA), in order to establish which hotels have the most efficient performance. These could serve as peers to help
Tourism Economics, 2010
This paper uses a random frontier model to analyse technical efficiency in a data set of hotels in Luanda, the capital city of Angola, for 1990-2007. The hotels are ranked according to their technical efficiency, disentangling homogeneous and heterogeneous variables. This methodology attempts to account for observed and unobserved heterogeneity across hotels. The study rests on the premise that hotels in Luanda have an established role in the business market and emerging significance in the tourism market, broadly defined. Based on the analysis, the authors conclude that those hotels adopting a more strategic approach are better, and thus more efficient, than those that lack vision. They then point to the wider implications of the discussion.
The Service Industries Journal, 2014
Tourism Economics, 2011
... hotel industry is the volatile fuel price, which has made the value of tourist's disposable income less, thus affecting their travel patterns in ... In the recent past, there have emerged in the efficiency literature more sophisticated approaches for measuring technical efficiency. ...
Current Issues in Tourism, 2019
In the last decade, all-inclusive packages have had an extraordinary boom in one of the most popular sun and beach tourism destinations in Europe, the Canary Islands. This fact reinvigorated the debate on potential benefits and negative effects on the local economy. However, there is no empirical evidence of the impact that all-inclusive packages may have on the efficiency in the hotel industry. This study assessed the effects of allinclusive packages on cost and profit efficiency using the stochastic frontier approach and the model proposed by Battese and Coelli [(1995). A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics, 20(2), 325-332] in a sample composed of 102 hotels of the Canary Islands from 2008 to 2014. The empirical results revealed that the hotels that offered all-inclusive packages exhibited lower efficiency levels than those hotels that did not provide this service. These results have important implications for both public policies and hotel management.
Cornell Hospitality Quarterly, 2020
Hotel efficiency has traditionally been estimated assuming that all hotels use the same production technology. However, in practice, hotels have different technologies, and ignoring this reality can lead to an overestimation of inefficiency in the sector. This article relaxes this assumption and estimates efficiency in the hotel industry using a stochastic frontier model with random coefficients. This methodology allows us to separate firm-specific inefficiencies from potential technological heterogeneity across hotels. The empirical results indicate that the estimated efficiencies differ between the random coefficients model and the fixed coefficients model. These findings support our thesis of technological heterogeneity across hotels.
Tourism Economics, 2000
A sample of 28 prestige hotels on the Algarve (Portugal) is analysed to compare the results of the data envelopment analysis and stochastic frontier approach techniques in order to measure cost, allocative and technical efficiencies. The results suggest that efficiencies are similar when they are calculated by these two models. Companies with fivestar hotels, hotels with golf courses and owners of only one hotel have higher efficiency levels than their peers. One explanation for this evidence is that these models express themselves through cost or production technologies, allowing them a better fit.
Sustainability
We analyzed the productivity of tourism- and culture-related economic activity in South Korea, adopting the Malmquist productivity index based on data envelopment analysis. We examined whether the productivity of tourism efficiently attracts financial investment. We used various objective indicators as the input and output variables of 16 metropolitan regions in South Korea between 2013 and 2018. To effectively understand the productivity of regions, the 16 metropolitan regions were categorized into four groups based on the ratio of financial independence and rate of city region, and regions were characterized as urbanized, traditional metropolitan, industrialized, or less developed. The findings reveal that the tourism industry in relatively less urbanized regions is more productive. Compared with other industries, public pre-investment and private investment strategies specific to tourism may yield more efficient results in terms of total production and employment. In other words,...
Tourism Economics, 2016
This study investigates the relationship between tourism destination competitiveness and the competitiveness of international hotel firms using an integrated approach based on Porter (1990). A mediation model is employed to link destination competitiveness, efficiency and firm competitiveness. Global technical efficiency, pure technical efficiency and scale efficiency are estimated through data envelopment analysis techniques. The results confirm a positive relationship between destination competitiveness and firm competitiveness, but efficiency does not play a mediating role linking both.
Advances in Hospitality, Tourism, and the Services Industry, 2019
Low-carbon tourism represents a sustainable way to make tourist destinations more competitive and efficient. Therefore, tourist destination competitiveness has to consider natural resources preservation and environmentally sustainable development. Many cities have become more attractive through upgrading their quality of services, investing in low-carbon policies, and consequently, improving their competitiveness. In these contexts, innovation and technology were used to provide benefits to the tourist as well as to the resident like in the "smart city" model. Many tourist destinations are exposed to very high levels of competition, so it becomes really significant to change policy and strategy ameliorating environmental standards to maintain profit margins. The purpose of this chapter is to study the low-carbon tourists' destination competitiveness. It intends to contribute to the literature analyzing this topic and explaining how low-carbon goods and services can determine the competitiveness of a tourist destination.
International Journal of Contemporary Hospitality Management
Purpose This paper aims to investigate efficiency in the UK hotel industry and further evaluate the impacts of hotel characteristics and industry environment on efficiency. Design/methodology/approach The network data envelopment (DEA) weak link approach is used for the efficiency analysis, while the determinants of efficiency are evaluated by bootstrapped truncated regression. Findings The findings show that the UK hotel industry is very inefficient. The results of overall efficiency deconstruction show that the second-stage production process experiences an even lower level of efficiency than that of the first stage. The second-phase analysis shows that both the hotel-specific characteristics and the industry-specific characteristics are significantly related to UK hotel efficiency. Research limitations/implications The robustness of the results is affected because a single set of input-intermediate product-outputs and a single DEA method were used. Therefore, further studies can ...
International Journal of Contemporary Hospitality Management, 2013
PurposeThe purpose of this paper is to: study the relative efficiency between hotels operating under a brand and hotels operating independently, on the island of Crete, Greece; identify the inefficiency causes; and suggest managerial implications to relevant business experts and managers in order to increase hotel efficiency in Crete and in other tourism destinations with similar characteristics.Design/methodology/approachThe sample is constituted by 50 superior hotels (luxury and class A) operating in Crete in 2008: 25 hotels are operating as totally independent and 25 hotels are operating under a brand. The efficiency for the above hotels is estimated through the data envelopment analysis methodology.FindingsFirst, nationally branded hotels are relatively the most efficient; internationally branded are the least efficient, while those operating under a local brand and the independent ones lie in between. This efficiency ranking can be explained by the interplay between operating u...
Emerging Markets Finance and Trade, 2017
The purpose of this paper is to measure the efficiency of hotel units in Romania from the customers' point of view and to identify factors that explain the differences in efficiency between hotel units. A stochastic production frontier is estimated together with a technical inefficiency model using cross-sectional data from 622 hotel units in Romania. The results show that the average efficiency is high. However, there are significant differences between hotels in different regions and with different star ratings. The most influential factor affecting efficiency is the online visibility of a hotel unit on social media platforms and on travel planning sites. The study's results offer insight for hotel decision-makers to be able to improve the perception of hotel efficiency by taking appropriate action to meet customer needs.
Sustainability, 2018
The purpose of this article is to analyse whether ski resorts in Europe are economically viable. Data originates from the financial statements of the 61 largest ski lift operators in Austria, France, and Italy. Descriptive statistics reveal that these operators are characterized by positive and relatively high returns, and by having little debt in general terms. The results show that the most economically profitable ski operators are also the largest. The elevation of the ski area is not relevant. Ski lift operators in Austria have a higher profitability than those in France and Italy. Overall, larger ski resorts are better prepared for the future investment needed to adapt to the new conditions in the industry, such as climate variability.
European Journal of Management and Business Economics
PurposeThis paper aims to understand the most efficient hotel system and why efficiency varies across years and between the two differing types of hotel businesses in Turkey.Design/methodology/approachA data envelopment analysis (DEA) analysis was used to characterise the efficiency of all-inclusive (AI) and bed and breakfast (B&B) hotel businesses with one output (total revenue) and three inputs (labour, food and capital costs). The Malmquist approach is then used to discern changes in total efficiency (TTE) and intertemporal shifts in the efficiency frontier (technological change (Tch)).FindingsThe results reveal that the AI hotel operates at 100% efficiency in the summer and year-round. The B&B hotel business operates at 89.6% with variable constant returns to scale during the summer and with 100% efficiency. The results of the Malmquist approach indicate that the total factor productivity grew in the years 2015, 2016, 2018 and 2019, while the other years were marked by inefficie...
2007
This paper aims to provide a statistical analysis of the relative economic performance of Italian tourist areas. It uses two modelling approaches to estimate the competitiveness of these regions, viz. data envelopment analysis (DEA) and the Malmquist method. Our results show that the competitiveness position of several Italian regions has not improved over the years under consideration.
Tourism Economics, 2010
This paper proposes a procedure for analysing tourism productivity. The procedure is based on the Luenberger productivity indicator for estimating and decomposing productivity change into efficiency change and technological change. The authors expand the procedure and further decompose the process of technological change to study the sources of bias within it. Therefore, a clearer and more enlightening view emerges of the productivity of travel agencies. The Portuguese travel agency sector is used as an application. Some managerial implications are developed.
Series, 2019
The tourism industry, in particular the hotel sector, is a highly competitive market. In this context, it is important that an hotel chain operates efficiently if it wants to improve or maintain its market position. The objective of this work is to compare the relative efficiency of hotel chains operating in Spain. To do this, we have designed a stochastic frontier model to measure revenue efficiency as a function of various different inputs such as total staff or number of rooms. Given that chains vary considerably in size, both inputs and outputs are normalized by an appropriate size measure. In contrast to most previous work, we account for heterogeneity in hotel chains by introducing relevant variables, such as the proportion of hotels in the chain with three stars or fewer, into the efficiency term of the stochastic frontier model. Our results suggest that in the Spanish case, in the period of the economic crisis, hotel chains increase overall revenue by investing in fewer, big hotels rather than more, small hotels. Furthermore, in terms of revenue efficiency, it appears better for hotel chains to invest in hotels of three or fewer stars than in higher star rated hotels. Finally, there is no clear evidence of a relationship between the size of a hotel chain and its efficiency.
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