Design of Subsidy Payment Policies with Social Simulation

Design of Subsidy Payment Policies with Social Simulation
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社会模拟的补贴支付政策设计

DOI:
10.11394/tjpnsec.13.23
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发表时间:
2022
期刊:
Transaction of the Japanese Society for Evolutionary Computation
影响因子:
--
通讯作者:
原田 智広
原田 智広
中科院分区:
--
文献类型:
--
作者:
後藤 裕介;森田 裕之;白井 康之;市川 尚;濱田 直希;原田 智広

文献摘要

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近年来,基于证据的政策制定(EBPM)被要求在地方政府制定新政策时容纳不同的利益相关者。社会模拟允许虚拟观察社会条件的变化所造成的各种替代政策制定。然而,还没有一个通用的社会模拟设计补贴支付政策,可以在各种情况下使用。2021年进化计算竞赛(EC Comp 2021)是一项自2017年以来举办的优化竞赛,旨在促进产业界和学术界之间的互动,要求参赛者设计具有社会模拟的补贴支付政策。EC Comp 2021新制定了用于设计补贴支付政策的通用社会模拟框架。本社会模拟使用统计学上有效的城市居民数据,以经济冲击情景为基础,对因家庭经济状况变化而实施的补贴支付政策的效果进行了估算。本文详细阐述了EC Comp2021中社会模拟的补贴支付设计问题。本文介绍了参与者的优化方法和结果,并对结果进行了简要分析,讨论了优化问题的特点。
In recent years, evidence-based policy-making (EBPM) has been called for to accommodate diverse stakeholders when local governments formulate new policies. Social simulation allows virtual observation of changes in social conditions resulting from various alternatives in policy-making. However, there has not been a generic social simulation for designing subsidy payment policies that can be used in various situations. The Evolutionary Computation Competition 2021 (EC Comp 2021), an optimization competition that has been held since 2017 and intends to promote interaction between industry and academia, asked participants to design subsidy payment policies with social simulation. EC Comp 2021 newly formulates a generic social simulation framework for designing subsidy payment policies. This social simulation estimates the effects of subsidy payment policies in response to changes in household economic conditions based on economic shock scenarios using statistically valid data on the residents in a city. This paper gives a detailed explanation of the subsidy payment design problem with the social simulation in EC Comp2021. This paper explains the participants’ optimization methods and their results, accompanied by a brief analysis of their results, and discusses the characteristics of the optimization problem.