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Modeling the Optimal Environment Service Payment for Afforestation Program

机译：建模造林计划的最佳环境服务支付

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摘要

In addition to the commodity value of lumber, forests can also provide the function of conserving water and land resources, enriching biodiversity, and modulating micro-climate, etc. To secure the effective supply of forest resources, it is essential for governments to formulate subsidy programs for afforestation. Under most current afforestation programs in the world, the amount of afforestation payment covers only the total cost of afforestation and the opportunity cost of agricultural land, in which the social benefits of forests are not taken into consideration, and the period of payment is mainly determined by the forest rotation years of most common trees planted. However, based upon our model, it is found that the current afforestation program in Taiwan will not be able to achieve the socially optimal resu it will also cause higher government expenditure in subsidizing farmers. Different from the previous literature that did not consider the effect of the penalty for the farmers who harvest forests before the contract year, and only used the forest maintenance year to determine the duration of carbon payment without considering its proper justification, we develop a landowner's behavior model to determine the optimal payment structure over the whole period, and analyze the effects of the penalty payment. Based upon our theoretical model, a simulation is conducted by using cunnignhania lancelata as an example to determine the optimal number of years and the optimal amount of carbon payment each year. It is shown that our model can be applied to different kinds of trees over various kinds of situations.
机译：除了木材的商品价值外，森林还可以提供保护水和土地资源的功能，丰富生物多样性，调制微观气候等，以确保有效的森林资源供应，这对各国政府为必要的制定补贴植树造林的计划。在世界上大多数当前的造林方案下，造林金额仅涵盖植树造林总成本以及农业用地的机会成本，其中没有考虑森林的社会福利，主要确定付款期限由大多数常见树木种植的森林轮换。但是，基于我们的模型，发现台湾目前的造林计划将无法实现社会最佳结果;它还将导致补贴农民的政府支出更高。与以前的文学不同，没有考虑收获在合同年前森林的农民的惩罚的效果，只使用森林维持年度来确定碳支付的持续时间而不考虑其正确的理由，我们培养了土地所有者的行为模型确定整个时期最佳支付结构，分析罚款的影响。基于我们的理论模型，通过使用CUNNIGNHANIA LANCELATA为例进行了模拟，以确定每年最佳年数和最佳碳金额的榜样。结果表明，我们的模型可以在各种情况下应用于不同种类的树木。

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