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Profit Sharing as a Management Strategy for a State-owned Teak Plantation at High Risk for Illegal Logging

机译:利润共享作为非法采伐高风险国有柚木人工林的管理策略

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摘要

Illegal logging is a serious threat to plantations in the tropics. Here, we study the roles of profit-sharing in plantation management strategy in a dynamic game model. The model assumes that the owner chooses the age of the trees to be harvested and the local people choose their level of monitoring effort to prevent illegal logging with surveillance. After the trees are removed, the owner hires local people to replant young trees. We derived recursive formulas for determining the value of a site with trees of age t, and solved them by iteration. Under the pressure of illegal logging, the owner may find it profitable to share harvesting profits with the local people to enhance their surveillance effort. A higher rate of natural disturbance shortens the mean tree age, leading the owner to invest more to suppress illegal logging by increasing the profit-sharing rate. A lower future discount rate leads to older trees being harvested and decreases the profit-sharing rate. If the cost of replanting is increased, the local people are reluctant to participate in surveillance activities, and the owner increases the profit-sharing rate to encourage their participation. We discuss the policy implications of these results.
机译:非法采伐是对热带地区人工林的严重威胁。在这里,我们在动态博弈模型中研究了利润共享在人工林管理策略中的作用。该模型假设所有者选择要采伐的树木的年龄,当地人选择他们的监测工作水平,以防止通过监视进行非法采伐。树木移走后,所有者雇用当地人重新种植幼树。我们推导了确定年龄为t的树木的站点价值的递归公式,并通过迭代对其进行求解。在非法采伐的压力下,所有者可能会发现与当地人分享收获的利润以加强他们的监视工作是有利可图的。较高的自然干扰率会缩短平均树龄,导致所有者通过增加利润分享率来进行更多投资以抑制非法采伐。较低的未来贴现率导致采伐较老的树木,并降低了利润分享率。如果补植成本增加,当地人将不愿参加监视活动,而所有者则提高利润分享率以鼓励他们的参与。我们讨论了这些结果的政策含义。

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