The purpose of this study was to analyze the impact of local community power on green tourism (after this, abbreviated as GT). The analytical features were as follows; First, we derived the concept of local community power from "agricultural village activity," "local activity", and "regional support," to describe the degree of cooperation and collaboration among people who use local resources related to agriculture. Second, a theoretical model for the impact of local community power on GT was developed and analyzed. Third, a covariance structure analysis was conducted on the relationships between local community power and GT using data from the 2015 agricultural census. Results of the analysis revealed that local community power has a positive impact on green tourism.
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The development pattern of a tourism destination network is a factor in determining the growth of each tourism destination. This research note provides an analytical framework to investigate the dynamic properties of a tourism destination network and separately estimate the individual and destination benefits from destination network development. The method assumes network development is a dynamic process and uses estimates from expert assessors to measure the changes in network properties over time.
This paper has provided a model framework of foreign assistance policy in the context of dynamic optimal control and investigated the environmental policies in LDCs that received some financial support from abroad. The model framework features a specific behavior of the social planner who determines the level of voluntary expenditure for preservation of natural environment. Because more financial needs for natural environmental protection means less allowance of growth-oriented investment, the social planner confronts a trade-off problem between economic growth and environmental preservation. To tackle with this clearly, we have built a dynamic model with two control variables: per-capita consumption and voluntary expenditure for natural environment
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