چکیده:
tourism is one of the most invaluable industries in the world, attracting millions of foreign tourists every year. In terms of historical and cultural attractions, Iran is among top 10 countries, however, it has a small share of foreign tourist's arrival. Iran's tourism boom depends on providing the suitable conditions for the arrival of tourists, included service elements (i.e. hotels and travel agencies) and infrastructure for aviation, rail, road and naval. Inefficient use of these fundamental factors is known as the major obstacles to growth and development of tourism industry. Accordingly, we evaluate the tourism efficiency of Iran provinces along with their full ranking, based on a data envelopment analysis. The results from the weighted model indicate that Khorasan Razavi, Qom, West Azarbaijan, East Azarbaijan, Kurdistan and Isfahan provinces have the highest efficient scores. North Khorasan, South Khorasan, Golestan, Chaharmahal and Bakhtiari, Semnan and Bushehr also have the lowest scores, respectively.
خلاصه ماشینی:
Evaluating the Relative Efficiency of Iran's Tourism Industry: A Non-Parametric Approach Ali Rahnama1, Morteza Yaghoubi2, Hamideh Khaksar Astaneh*3 Received: January 29, 2018 Accepted: April 23, 2018 ourism is one of the most invaluable industries in the world, attracting millions of foreign tourists every year.
Accordingly, we evaluate the tourism efficiency of Iran provinces along with their full ranking, based on a data envelopment analysis.
4. Results and Discussion Given data access level, the following provinces were considered in our analysis: East Azarbaijan, Isfahan, Khorasan Razavi, Khuzestan, Qom, Kurdistan, Golestan, Gilan, Hamedan, Yazd, West Azarbaijan, Bushehr, Chaharmahal and Bakhtiari, South Khorasan, North Khorasan, Zanjan, Semnan, Kohkiluyeh and Boyerahmad, Lorestan and Markazi.
Table 1: Descriptive Analysis of Production Factors in Non-Parametric Building PPS {مراجعه شود به فایل جدول الحاقی} Source: Extracted from the Iran Statistical Center and Statistical Yearbooks of Iran Provinces Table 2: Relative Importance of Factors Affecting the Number of Outbound Tourists {مراجعه شود به فایل جدول الحاقی} Another issue, to calculate technical efficiency, is control of those factors influencing the number of outbound tourists that should be considered in building Production Possibility Set (PPS).
That led to zero slacks for output and positive slacks for those inputs used over the desired level ** A non-discretionary variable The differences between the efficiency scores of the provinces show the possibility of a significant increase in the number of foreign tourists by better use of the existing sources.
Application of Data Envelopment Analysis in Estimating the Efficiency of Hotel Industry in the Provinces of Tourism of the Country.