• Environmental and Resource Economics Review
• /
• v.11 no.2
• /
• pp.195-210
• /
• 2002

In this paper, we present a nonrenewable resource model including environmental pollution stock as a state variable to analyze the dynamic structure of environmental tax. Based on the optimality conditions of our model, we showed that the optimal time path of the shadow cost for environmental pollution stock is the same as that of the costate variable for environmental pollution stock. We did this by applying the theorem, Continuous Dependence on Initial Conditions (Coddington and Levinston, 1985, pp. 22~27), to the optimal control problem. Thus, this result provides a theoretical basis to determine the magnitude of environmental tax to be imposed over time. In addition, we also identified that the costate variable for environmental pollution stock is solely due to the disutility effect.

• Proceedings of the Korea Technology Innovation Society Conference
• /
• 2010.05a
• /
• pp.3-14
• /
• 2010

Through time-series plots, we can see relatively stable trend of energy factor share and the decreasing trend of relative energy prices (to wages) in Korea. We can compromise these empirical facts with the following explanation: if elasticity of substitution between capital and energy is smaller than one(<1) in Korea, a change(decrease) in energy price can prevent income share of resources from rising in the process of economic growth. This is consistent with theoretical and empirical results that substitution between energy and capital is so difficult. From simple empirical analysis and limited information, we can carefully infer that, in the past in Korea, resource-specific innovation was performed widely. Finally, If we are to reduce the magnitude of "growth drag", we should decrease energy factor share. This can be accomplished by energy-augmenting technical progress in the case of elasticity of substitution less than 1 as in Korea.

• Environmental and Resource Economics Review
• /
• v.15 no.4
• /
• pp.673-692
• /
• 2006

In order to test for the dynamic optimality condition for the use of nonrenewable resource, it is necessary to estimate the shadow value of the resource in situ. In the previous literatures, a time series for in situ price has been derived either as the difference between marginal revenue and marginal cost or by differentiating with respect to the quantity of ore extracted the restricted cost function in which the quantity of ore is quasi-fixed. However, not only inconsistent estimates are likely to be generated due to the nonmalleability of capital, but the estimate of marginal revenue will be affected by market power. Since firms will likely fail to minimize the cost of the reproducible inputs subject to market prices under realistic circumstances where imperfect factor markets, strikes, or government regulations are present, the shadow in situ values obtained by estimating the restricted cost function can be biased. This paper provides a valid methodology for checking the dynamic optimality condition for a nonrenewable resource by using the input distance function. Our methodology has some advantages over previous ones: only data on quantities of inputs and outputs are required; nor is the maintained hypothesis of cost minimization required; adoption of linear programming enables us to circumvent autocorrelated errors problem caused by use of time series or panel data. The dynamic optimality condition for domestic coal mining does not hold for constant discount rates ranging from 2 to 20 percent over the period 1970~1993. The dynamic optimality condition also does not hold for variable rates ranging from fourth to four times the real interest rate.

• Environmental and Resource Economics Review
• /
• v.14 no.1
• /
• pp.221-235
• /
• 2005

In this paper, we analyzed the dynamic structure of optimal tariff levied on importing non-renewable resources such as petroleum, iron, coal, etc. According to the previous literature that have studied this objective, the time inconsistent open loop tariff has been suggested to be imposed in order to improve the welfare level of importing country. We set up the efficient model to identify how to impose the optimal tariff over time. Based on this model, we have found that the previous literature ignored that the costate variable for the stock for non-renewable resource decomposed between the scarcity effect and the cost effect. On the basis of the role of costate variable, we, however, have found that the proposition of the previous literature has led into errors. Hence, we suggest that the dynamically consistent open loop tariff for non-renewable resources would improve the welfare level of importing country.

• Journal of Navigation and Port Research
• /
• v.36 no.9
• /
• pp.741-751
• /
• 2012

This article analyzes the interdependency between nonrenewable marine sand resources and renewable fishery resources by the developed dynamic bioeconomic model. The developed bioeconomic model is applied to a case study of efficient sustainable management for marine sand mining, which adversely affects a valuable blue crab fishery and its habitat in Korea. The socially-efficient extraction plan for marine sand and the time-variant environmental external costs to society in terms of diminished harvest rate of blue crab are determined. To take into account long-term effects from destroyed fishery habitat, a Beverton-Holt age structure model is integrated into the bioeconomic model. The illustrative results reveal that the efficient sand extraction plan is dynamically constrained by the stock size of the blue crab fishery over time. Thus, the dynamic environmental external cost is more realistic resource policy option than the classical fixed external cost for determining socially optimal extraction plans. Additionally, the economic value of bottom habitat, which supports the on- and off-site commercial blue crab fishery is estimated. The empirical results are interpreted with emphasis on guidelines for management policy for marine sand mining.

• Journal of the Korean Institute of Traditional Landscape Architecture
• /
• v.34 no.4
• /
• pp.51-56
• /
• 2016

Old-growth and giant tree is a nonrenewable resource with great value. The purpose of this study is to provide scientific and reasonable evaluations for the preservation and management of the old-growth and giant tree. Until now the research of old-growth and giant tree's value evaluation and authoritative index is so insufficient and imperfection. Combining with the particularity of the old-growth and giant tree, this study analyzed the main value factors of the old-growth and giant tree and objectively selected the evaluation indicators. According to the actual situation value appraisal model of the old-growth and giant tree was builded. The main value factors can be divided into economic value, cultural history, growing place, tree state, tree form, tree vigor, protection level, growth environment, tree species, tree canopy, and so on. The evaluate indicators can be selected and the indicators' weight can be calculate using analytic hierarchy process methods(AHP). Based on economic value and indicators' weight, tree's total value can be revealed. After calculation and analysis, Gyeongju Gyerim Zelkova serrata's value evaluation results is 491,503,300 won. The research results of this study can provide scientific basis and reference to the old-growth and giant trees' value appraisal and loss compensation, and arouse people's environmental awareness.