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Sasarose Jaijit Naraphorn Paoprasert Juta Pichitlamken 《Journal of Policy Modeling》2019,41(1):156-167
This study explored the economic, social and environmental impact of Thai rice research expenditure (categorized as breeding expenditure, production expenditure and processing expenditure) during 2008–2015, using the simultaneous equation modeling technique. The results showed that production-research expenditure was the most explicit to reduce the amount of nitrogen fertilizer usage, while breeding-research expenditure was the most explicit in terms of increasing farmers’ economic status from planting rice. Processing expenditure seemed to be the least effective spending among the three types. 相似文献
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Vicki M. Bier Naraphorn Haphuriwat Jaime Menoyo Rae Zimmerman Alison M. Culpen 《Risk analysis》2008,28(3):763-770
This article describes the results of applying a rigorous computational model to the problem of the optimal defensive resource allocation among potential terrorist targets. In particular, our study explores how the optimal budget allocation depends on the cost effectiveness of security investments, the defender's valuations of the various targets, and the extent of the defender's uncertainty about the attacker's target valuations. We use expected property damage, expected fatalities, and two metrics of critical infrastructure (airports and bridges) as our measures of target attractiveness. Our results show that the cost effectiveness of security investment has a large impact on the optimal budget allocation. Also, different measures of target attractiveness yield different optimal budget allocations, emphasizing the importance of developing more realistic terrorist objective functions for use in budget allocation decisions for homeland security. 相似文献
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