混合工作和区域依恋下的高效分权领导

IF 0.6 Q4 ECONOMICS
Games Pub Date : 2023-03-16 DOI:10.3390/g14020026
Naoto Aoyama, E. Silva
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引用次数: 1

摘要

在劳动力市场的“新常态”下,个人可以远程工作,也可以亲自工作,这种混合工作模式在疫情期间变得无处不在。本文研究了以混合工作为工作方式的联合会中分散领导的效率。自利的地区政府和仁慈的中央政府在动态游戏中进行战略互动,在游戏中,有联邦和地区公共产品以及地区间收入和财政转移的规定,人口依附于地区,混合工作在联邦中创造了一个共同的劳动力市场。在这种情况下,我们首先表明,如果中央只控制收入转移,那么分权领导是低效的。这一结果为该中心额外控制指定用途转移提供了一种提高效率的动机:我们证明,无论何时该中心控制收入和指定用途转移,分权领导都是有效的。然而,这并不是唯一一个分权领导有效的联邦制度。如果有适当的选择性,在没有指定用途的转移支付的情况下,它是有效的:当地区政府承诺只提供联邦公众,而中心在各个地区重新分配收入时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient Decentralized Leadership under Hybrid Work and Attachment to Regions
Under the ‘new normal’ in the labor market, individuals can work remotely or in person, a hybrid work mode that became ubiquitous during the pandemic. This paper studies the efficiency of decentralized leadership in federations in which hybrid work is the modus operandi. Self-interested regional governments and a benevolent central government interact strategically in dynamic games in which there are provisions of federal and regional public goods and interregional income and fiscal transfers, the population is attached to regions and hybrid work creates a common labor market in the federation. In this setting, we first show that decentralized leadership is inefficient if the center controls income transfers only. This result provides an efficiency enhancing motivation for the center to additionally control earmarked transfers: we demonstrate that decentralized leadership is efficient whenever the center controls both income and earmarked transfers. However, this is not the only federal regime in which decentralized leadership is efficient. It is efficient in the absence of earmarked transfers if it is appropriately selective: when the regional governments commit to the provision of the federal public only and the center redistributes income across regions.
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来源期刊
Games
Games Decision Sciences-Statistics, Probability and Uncertainty
CiteScore
1.60
自引率
11.10%
发文量
65
审稿时长
11 weeks
期刊介绍: Games (ISSN 2073-4336) is an international, peer-reviewed, quick-refereeing open access journal (free for readers), which provides an advanced forum for studies related to strategic interaction, game theory and its applications, and decision making. The aim is to provide an interdisciplinary forum for all behavioral sciences and related fields, including economics, psychology, political science, mathematics, computer science, and biology (including animal behavior). To guarantee a rapid refereeing and editorial process, Games follows standard publication practices in the natural sciences.
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