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A Goal Programming Approach for a Joint Design of Macroeconomic and Environmental Policies: A Methodological Proposal and an Application to the Spanish Economy

机译:宏观经济与环境政策联合设计的目标规划方法:方法学建议及其在西班牙经济中的应用

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摘要

The economic policy needs to pay increasingly more attention to the environmental issues, which requires the development of methodologies able to incorporate environmental, as well as macroeconomic, goals in the design of public policies. Starting from this observation, this article proposes a methodology based upon a Simonian satisficing logic made operational with the help of goal programming (GP) models, to address the joint design of macroeconomic and environmental policies. The methodology is applied to the Spanish economy, where a joint policy is elicited, taking into consideration macroeconomic goals (economic growth, inflation, unemployment, public deficit) and environmental goals (CO_2, NO_x and SO_x emissions) within the context of a computable general equilibrium model. The results show how the government can "fine-tune" its policy according to different criteria using GP models. The resulting policies aggregate the environmental and the economic goals in different ways: maximum aggregate performance, maximum balance and a lexicographic hierarchy of the goals.
机译:经济政策需要越来越多地关注环境问题,这要求开发能够将环境目标以及宏观经济目标纳入公共政策设计的方法。从这种观察出发,本文提出了一种基于西蒙尼式满意逻辑的方法,该逻辑在目标编程(GP)模型的帮助下得以实现,以解决宏观经济和环境政策的联合设计问题。该方法适用于制定了联合政策的西班牙经济,并在可计算的一般情况下考虑了宏观经济目标(经济增长,通货膨胀,失业,公共赤字)和环境目标(CO_2,NO_x和SO_x排放)平衡模型。结果表明,政府如何使用GP模型根据不同的标准“微调”其政策。最终的政策以不同的方式汇总了环境和经济目标:最大的综合绩效,最大的平衡和目标的字典编排层次。

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