{"title":"Capitalism, Socialism, and the Climate Crisis","authors":"P. Adler","doi":"10.1177/26317877221084713","DOIUrl":null,"url":null,"abstract":"The climate crisis calls for a massive and rapid retooling of our economy and society. I argue that we have reasons to doubt that capitalism, even reformed, could meet that challenge. As an alternative solution, authoritarian socialism such as existed in the former Soviet Union or China would be neither attractive nor effective; by contrast, a democratic form of socialism might be both. In a democratic socialist society, we would govern democratically both our enterprises and our economy as a whole. Democratizing the governance of enterprises would help them make better tradeoff decisions and internalize some important externalities. But if they remain at the mercy of capitalist competition in product, labor, and financial markets, many enterprises will be economically unable to retool fast enough, so we also need to pool the country’s economic resources and manage them democratically, collectively, and strategically towards our shared environmental, social, and economic goals. Organizational research on corporate strategic management offers insights into how such an economic system could satisfy four key requirements for a successful fight against climate change—democracy, innovation, efficiency, and motivation.","PeriodicalId":50648,"journal":{"name":"Computational and Mathematical Organization Theory","volume":"27 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational and Mathematical Organization Theory","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/26317877221084713","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 2
Abstract
The climate crisis calls for a massive and rapid retooling of our economy and society. I argue that we have reasons to doubt that capitalism, even reformed, could meet that challenge. As an alternative solution, authoritarian socialism such as existed in the former Soviet Union or China would be neither attractive nor effective; by contrast, a democratic form of socialism might be both. In a democratic socialist society, we would govern democratically both our enterprises and our economy as a whole. Democratizing the governance of enterprises would help them make better tradeoff decisions and internalize some important externalities. But if they remain at the mercy of capitalist competition in product, labor, and financial markets, many enterprises will be economically unable to retool fast enough, so we also need to pool the country’s economic resources and manage them democratically, collectively, and strategically towards our shared environmental, social, and economic goals. Organizational research on corporate strategic management offers insights into how such an economic system could satisfy four key requirements for a successful fight against climate change—democracy, innovation, efficiency, and motivation.
期刊介绍:
Computational and Mathematical Organization Theory provides an international forum for interdisciplinary research that combines computation, organizations and society. The goal is to advance the state of science in formal reasoning, analysis, and system building drawing on and encouraging advances in areas at the confluence of social networks, artificial intelligence, complexity, machine learning, sociology, business, political science, economics, and operations research. The papers in this journal will lead to the development of newtheories that explain and predict the behaviour of complex adaptive systems, new computational models and technologies that are responsible to society, business, policy, and law, new methods for integrating data, computational models, analysis and visualization techniques.
Various types of papers and underlying research are welcome. Papers presenting, validating, or applying models and/or computational techniques, new algorithms, dynamic metrics for networks and complex systems and papers comparing, contrasting and docking computational models are strongly encouraged. Both applied and theoretical work is strongly encouraged. The editors encourage theoretical research on fundamental principles of social behaviour such as coordination, cooperation, evolution, and destabilization. The editors encourage applied research representing actual organizational or policy problems that can be addressed using computational tools. Work related to fundamental concepts, corporate, military or intelligence issues are welcome.