Research Reports
A Study on the Calculation of the Recovery Cost from Natural Disaster for Short-term Forest Products
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AuthorMin, Kyungtaek
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Publication Date2012.12.31
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Original
Due to the frequent natural disaster like typhoon, drought, and so on, the forestry production and farmer's income are getting unstable. To restore the production base for farmers after natural disaster, government has subsidized the recovery cost including seed and fertilizer cost. But the gap between the government subsidy and actual recovery cost is large. Farmers' dissatisfactions to the subsidy have been increasing. Therefore there was increasing need to estimate the recovery cost and to establish the criteria to decide the damage rate.
According to the questionnaire survey, farmers have little experience to get the recovery subsidy after natural disasters and have lots of complaints about the low recovery subsidy. This is because farmers look on the recovery subsidy as the compensation to the damage. Government has to correct the recognition of farmers about the recovery subsidy.
The recovery costs for short-term forest products are recalculated using the actual prices of seeds and fertilizers at the market, and are compared with the existing recovery cost proposed by government. The results revealed that there is the large gap between the reestimated recovery cost and the existing recovery cost. The gap depresses the recovery will of the farmers and destabilize the farmers' livelihood. Therefore the recovery cost should be raised with actual recovery costs.
To carry out the relief of victims of a disaster, the unit damage rate of the individual farmer should be estimated. But the estimation criteria are not exist. The damage rate estimation method and criteria for standing wood, lawn grass and ornamental tree are provided. But for the fruit, nut and medicinal plants it is suggested to use the existing estimation criteria.
Researchers: Kyung-Taek Min, Byung-Cheol Cho
Research period: 2012. 1. - 2012. 12.
E-mail address: minkt@krei.re.kr
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