Investigating and identifying factors and components affecting post-corona rural tourism businesses Case study: target villages for tourism in Chaharmahal and Bakhtiari province

Document Type : Research Paper

Authors

1 . Department of Geography and rural Planning, Faculty of Planning and Environmental Sciences, Tabriz University, Tabriz

2 Department of Geography and Urban Planning, Faculty of Planning and Environmental Sciences, Tabriz University, Tabriz, Iran.

3 PH.D student

Abstract

The tourism industry was severely affected by the outbreak of the Coronavirus and experienced a period of stagnation with the loss of many jobs. Based on this, knowing the factors and components affecting tourism businesses in the post-corona era can improve the conditions and faster reconstruction of this industry. This research investigates and identifies factors affecting rural tourism businesses in the post-corona era. The research method used is of a quantitative type and according to its purpose, it is practical, which was carried out using the descritheive-analytical method in the spring of 1402. The geographical area of the current study is in Jaharmahal and Bakhtiari province, and the statistical population of the research includes all heads of rural households living in 13 villages targeted for tourism in this provinProfessensorsnd elites with necessary corrections confirmed the face validity of the questionnaireions, and its reliability was tested and confirmed through Cronbach's alpha. The results show that the total of 7 extracted factors explained 66.56% of the total variance of the dependent variable. The explanation percentage of the 7 extracted factors in order of importance is as follows: first factor: infrastructure-support 16.75; The second factor: educational-cultural 12/42; The third factor: potential measurement and recognition of capacities 9.97; The fourth factor: recovery of health and mental conditions 8.74, the fifth factor: technology development 5.26; The sixth factor: change of approach and management flexibility 4.83 and the seventh factor: central environment explain 59.4% of the total variance of the dependent variable.

Keywords

Main Subjects

Journal of Tourism Planning and Development
Volume 13, Issue 50
September 2024

Files

Share

How to cite

Statistics