不同承诺能力下可耗竭资源的最优消耗

发布时间：2018-11-13 20:57

【摘要】：通过对可耗竭资源经济学的文献回顾,目前尚没有发现在可变时间偏好理论框架下探讨可耗竭资源的最优消耗等问题。该文尝试在双曲线贴现的可变时间偏好下,对一个可耗竭资源的纯消耗问题进行分析,讨论在不同承诺能力下资源的最优消耗速度及对资源的保护效果。模型结果证明,在国家的完全承诺能力下,资源的最优消耗速度最慢,选择的初始资源消耗最低,与时间偏好不变情况下的社会计划者问题等价。相反,在完全无承诺能力下,资源的最优消耗速度最快,选择的初始资源消耗最高,其短视的资源消耗行为必然会导致可耗竭资源的过度消耗。部分承诺能力下的情况则介于完全承诺能力情况与完全无承诺能力情况之间。因此,在双曲线贴现的时间偏好下,资源消耗的最优速度依赖于承诺能力,承诺能力的提高会导致更低的有效时间偏好率,从而导致更低的资源消耗速度和初始资源消耗。承诺技术纠正了人们的不耐心程度与短视行为,从而达到保护可耗竭资源的目的。
[Abstract]:By reviewing the literature on the economics of exhaustible resources, it has not been found that the optimal consumption of exhaustible resources is discussed under the framework of variable time preference theory. This paper attempts to analyze the pure consumption of a depleted resource under the variable time preference of hyperbolic discount, and discusses the optimal consumption speed and the protection effect of the resource under different commitment capabilities. The results of the model show that the optimal consumption of resources is the slowest and the initial resource consumption is the lowest under the condition of the country's full commitment ability, which is equivalent to the social planner problem under the condition of invariant time preference. On the contrary the optimal consumption of resources is the fastest and the initial resource consumption is the highest without commitment. The short-sighted behavior of resource consumption will inevitably lead to excessive consumption of exhausted resources. The situation of partial commitment ability is between full commitment ability and complete commitment ability. Therefore, under the hyperbolic discount time preference, the optimal speed of resource consumption depends on the commitment ability, and the increase of commitment ability will lead to lower effective time preference rate, which leads to lower resource consumption speed and initial resource consumption. Commitment technology corrects people's impatience and shortsightedness, thus protecting depleted resources.
【作者单位】：清华大学经济管理学院;
【基金】：高等学校博士学科点专项科研基金资助
【分类号】：F062.1

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