Hierarchical Variance Analysis: A Quantitative Approach for Relevant Factor Exploration and Confirmation of Perceived Tourism Impacts

Abstract

The issue of tourism impacts is one that has plagued the tourism industry. This study develops a quantitative approach using hierarchical variance analysis, which deals with the exploration of the relevant factors and the confirmation of their significant contribution to analyze the residents’ perception of tourism impacts. Hierarchical variance analysis includes three mathematical procedures: Cronbach’s alpha tests, the exploration of relevant factors, and a hierarchical factor confirmation. Data are collected using a structured questionnaire completed by 452 surveyed residents living in Ly Son Island, Vietnam. The significant effects of socio-demographic variables on the overall impact assessment are observed. The bilateral and simultaneous relationships are analyzed using a one-factor ANOVA. A two-factor ANOVA shows the significant contribution of each socio-demographic variable on the economic, socio-cultural, and environmental impacts. Interaction between factors such as “Education level”, “Type of work”, etc. are hierarchically confirmed. The findings allow a better understanding of the residents’ perception of the effects of tourism on society, the economy, and the environment. This provides a scientific basis to help define problems and promote legal regulations for community participation in tourism planning in a small island destination.

Sustainability of Spanish Tourism Start-Ups in the Face of an Economic Crisis

“…This method has also been used in other studies applied to Spanish companies depending on the activity sector and size [57,58] and to the tourism sector [59].…”

Nghiên cứu áp dụng thử nghiệm mô hình mạng Bayes trong đánh giá các yếu tố ảnh hưởng đến diễn biến cửa sông Đà Diễn

“…[26] đã kết hợp mô hình mạng Bayes với mô hình rủi ro trong kinh tế để ước lượng chi phí khám chữa bệnh ở Việt Nam. Gần đây, nhóm nghiên cứu [27] đã thực hiện đánh giá tác động của phát triển du lịch đến người dân tại đảo Lý Sơn. Nghiên cứu cho thấy một kết luận mới mẻ rằng người nông dân, những người trẻ tuổi, những người có trình độ học thức và có mức ảnh hưởng xã hội là những người có những đánh giá tiêu cực về tác động của sự phát triển du lịch.…”

Travel Patterns Analysis Using Tensor-Based Model from Large-Scale License Plate Recognition Data

“…e results of multivariable influence analysis reflect travel behavior under different combinations of variables. ere is also a series of researches focusing on the influence of variables on the target [28][29][30]. Truong et al [30] developed a quantitative approach using hierarchical variance analysis, which deals with the exploration of the relevant factors and the confirmation of their significant contribution to analyzing the residents' perception of tourism impacts.…”

“…ere is also a series of researches focusing on the influence of variables on the target [28][29][30]. Truong et al [30] developed a quantitative approach using hierarchical variance analysis, which deals with the exploration of the relevant factors and the confirmation of their significant contribution to analyzing the residents' perception of tourism impacts. In the previous study, various researches have been implemented focusing on multivariable influence analysis on statistical and regression levels [31][32][33].…”