This study used the Binary Logistic regression model to estimate the willingness to pay (WTP) to reduce the use of plastic bags in the daily life of people in the Linh Nam ward. This study notes that households with h...This study used the Binary Logistic regression model to estimate the willingness to pay (WTP) to reduce the use of plastic bags in the daily life of people in the Linh Nam ward. This study notes that households with higher incomes and higher levels of education tend to be more willing to pay. In addition, those who do not have access to information about the harmful effects of plastic bags and receive a higher proposed price often refuse to pay.展开更多
The research analyzes the factors affecting the tourists’ decision to visit agricultural farms in Thai Nguyen province. Three hundred tourists from 10 agritourism farms were surveyed, and the results showed that ther...The research analyzes the factors affecting the tourists’ decision to visit agricultural farms in Thai Nguyen province. Three hundred tourists from 10 agritourism farms were surveyed, and the results showed that there are five factors affecting the decision of tourists in order of importance, including: “Motivation to travel” has the greatest influence with the coefficient β = 0.290, followed by “Destination image” with the coefficient β = 0.288, the factor “Destination information” with the coefficient β = 0.247 and the group “Other motives” with the coefficient β = 0.229. The factor group, “Infrastructure of the destination”, has the lowest influence with the coefficient β = 0.166. Therefore, solutions to promote the development of agricultural tourism in Thai Nguyen need to pay attention and guide people to cultivate organically, preserve the environment and natural landscape, and create unique experiences for visitors. Authorities, local people, and travel agencies need to have seminars, develop specific agricultural tourism products, and apply information technology in advertising destination images to tourists.展开更多
文摘This study used the Binary Logistic regression model to estimate the willingness to pay (WTP) to reduce the use of plastic bags in the daily life of people in the Linh Nam ward. This study notes that households with higher incomes and higher levels of education tend to be more willing to pay. In addition, those who do not have access to information about the harmful effects of plastic bags and receive a higher proposed price often refuse to pay.
文摘The research analyzes the factors affecting the tourists’ decision to visit agricultural farms in Thai Nguyen province. Three hundred tourists from 10 agritourism farms were surveyed, and the results showed that there are five factors affecting the decision of tourists in order of importance, including: “Motivation to travel” has the greatest influence with the coefficient β = 0.290, followed by “Destination image” with the coefficient β = 0.288, the factor “Destination information” with the coefficient β = 0.247 and the group “Other motives” with the coefficient β = 0.229. The factor group, “Infrastructure of the destination”, has the lowest influence with the coefficient β = 0.166. Therefore, solutions to promote the development of agricultural tourism in Thai Nguyen need to pay attention and guide people to cultivate organically, preserve the environment and natural landscape, and create unique experiences for visitors. Authorities, local people, and travel agencies need to have seminars, develop specific agricultural tourism products, and apply information technology in advertising destination images to tourists.
