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The Development and Communicative Strategy of Recreational Farm Industry (RFI): A Case Analysis of Taiwan
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作者 ZHOU Jia-ling ZHANG Jia-lin LIU Matthew T. 《Chinese Business Review》 2007年第1期69-77,共9页
Farm tourism with recreational farm industry (RFI) is often considered as an economic alternative for farmers who are facing decreasing profits and might require another form of revenue. Compared with other industri... Farm tourism with recreational farm industry (RFI) is often considered as an economic alternative for farmers who are facing decreasing profits and might require another form of revenue. Compared with other industries, the most obvious advantage and benefit of RFI are not only economic incentives but environmental sustainability. Due to the increase in governmental income and global economic recession, RFI became an important way to broaden profit base for many governments. Recently, the successful RFI development in Taiwan is well-known. This research discussed the situation and main advantages of RFI, and mainly reviews RFI development/communicative strategies in Taiwan as a case study. This research finds the key success factors are: building the single window service scheme, development of creative value, build up the marketing routes of leisure industries scheme, improve the quality and service of recreational farming products scheme, and putting into series advertisement. 展开更多
关键词 recreational farm industry (RFI) development TAIWAN
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Bootstrap generated confidence interval for time averaged measure
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作者 Jinsoo Park Haneul Lee Yun Bae Kim 《International Journal of Modeling, Simulation, and Scientific Computing》 EI 2015年第3期107-115,共9页
In the simulation output analysis,there are some measures that should be calculated by time average concept such as the mean queue length.Especially,the confidence interval of those measures might be required for stat... In the simulation output analysis,there are some measures that should be calculated by time average concept such as the mean queue length.Especially,the confidence interval of those measures might be required for statistical analysis.In this situation,the traditional method that utilizes the central limit theorem(CLT)is inapplicable if the output data set has autocorrelation structure.The bootstrap is one of the most suitable methods which can reflect the autocorrelated phenomena in statistical analysis.Therefore,the confidence interval for a time averaged measure having autocorrelation structure can also be calculated by the bootstrap methods.This study introduces the method that constructs these confidence intervals applying the bootstraps.The bootstraps proposed are the threshold bootstrap(TB),the moving block bootstrap(MBB)and stationary bootstrap(SB).Finally,some numerical examples will be provided for verification. 展开更多
关键词 Simulation output analysis confidence interval time averaged measure bootstrap
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