Automating away the centre? Optimal planning and the menace of bureaucratisation

Max Grünberg
{"title":"Automating away the centre? Optimal planning and the menace of bureaucratisation","authors":"Max Grünberg","doi":"10.1177/10245294231218868","DOIUrl":null,"url":null,"abstract":"Within the wider discourse on economic planning, this paper critically interrogates practical challenges in applying optimisation algorithms to achieve allocative efficiency on the scale of national economies. In questioning whether contemporary information technology solves the shortcomings of Soviet command planning, the paper provides a historical introduction to optimal planning and engages with four fundamental problems optimal planners would face, namely: the concern of computational complexity, the challenge of generating the economic data necessary for the constitution of such a system, the issue of reconciling a static optimum with the dynamism of real economies, and ultimately the relation of optimisation solvers to a hierarchy of ends. Besides epistemic concerns, the greatest risk of such a planning framework is constituted by the possibility of a slow descent into an authoritative system that would mirror the Soviet experience because of its reliance on bureaucratic institutions to make this machine work.","PeriodicalId":207354,"journal":{"name":"Competition & Change","volume":"38 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Competition & Change","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/10245294231218868","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Within the wider discourse on economic planning, this paper critically interrogates practical challenges in applying optimisation algorithms to achieve allocative efficiency on the scale of national economies. In questioning whether contemporary information technology solves the shortcomings of Soviet command planning, the paper provides a historical introduction to optimal planning and engages with four fundamental problems optimal planners would face, namely: the concern of computational complexity, the challenge of generating the economic data necessary for the constitution of such a system, the issue of reconciling a static optimum with the dynamism of real economies, and ultimately the relation of optimisation solvers to a hierarchy of ends. Besides epistemic concerns, the greatest risk of such a planning framework is constituted by the possibility of a slow descent into an authoritative system that would mirror the Soviet experience because of its reliance on bureaucratic institutions to make this machine work.
中心自动化?优化规划与官僚化的威胁
在有关经济规划的广泛讨论中,本文批判性地探讨了应用优化算法实现国民经济规模的分配效率所面临的实际挑战。在质疑当代信息技术是否能解决苏联指令性规划的缺陷时,本文对最优规划进行了历史性的介绍,并探讨了最优规划者将面临的四个基本问题,即:计算复杂性问题、生成构成此类系统所需的经济数据的挑战、静态最优与现实经济的动态性之间的协调问题,以及最终优化求解器与目的等级的关系。除了认识论方面的问题,这种规划框架的最大风险还在于它有可能慢慢沦为一个权威系统,而苏联的经验正是这种权威系统的写照,因为它依赖于官僚机构来使这台机器运转。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信