چکیده:
B asically, many developed and developing countries need to expand tourism activities for accessing to the goals of national economic development and attracting foreign funds, therefore evaluating the efficiency of tourism industry can have significant help in recognizing the existed tourism potentials. The Chabahar zone in spite of numerous potential abilities in attracting domestic and foreign tourists and despite the fact that it is known as one of the important poles of tourism in Iran, but it is not so successful in attracting tourists. The present research has been provided to access the efficiency of the tourism industry in this area. For analyzing the information, the Data Envelopment Analysis Method (DEA) have been used. According to the results, the technical, management and scale efficiencies are 0.58, 0.69 and 0.84 percent respectively. It is suggested to strengthen the marketing, advertising and doing appropriate transportation infrastructure by employing manpower and efficient and expert management.
خلاصه ماشینی:
As tourism is a popular development strategy in each country, productivity and efficiency in this field can be a useful way to improve different sub-sections in this industry.
One of the useful tool to measure efficiency and performance is Data Envelopment Analysis (DEA), which is known as emerging topic and an essential mathematical tool and it has been considered in various management parts (Emrouznejad & Yang, 2017).
A non-parametric method, which is used to analyze the relative efficiency of operating units that have the identical goals and objectives, is Data Envelopment Analysis (DEA) (Charnes et al.
The two-stage DEA models for analyzing the tourist hotel industry was used by Yu and Lee (2009), Chiu and Huang (2011), and Lin et al.
The hierarchical category Data Envelopment Analysis (DEA) model was used by Corne (2015) to improve the understanding of the French tourism paradox.
(2011) tried to assess and compare the performance of French tourism destination through the two-stage procedure of Data Envelopment Analysis (DEA).
In this method, instead of determining the frontier production function, the performance of firms with the highest output to input ratio are considered as the efficiency frontier.
Some Models for Estimating Technical and Scale Efficiency in Data Envelopment Analysis.
Using a Network Data Envelopment Analysis Model to Assess the Efficiency and Effectiveness of Cultural Tourism Promotion in Taiwan.
Measurement of Tourist Hotels' Productive Efficiency, Occupancy, and Catering Service Effectiveness Using a Two-stage DEA Model.
A New Approach to Evaluate the Economic Efficiency and Productivity of Agriculture Sector: The Application of Window Data Envelopment Analysis (WDEA).