首页|人工智能、一般利润率与全球性长期产能过剩——政治经济学三大部类视角

人工智能、一般利润率与全球性长期产能过剩——政治经济学三大部类视角

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在当今人工智能投资快速增长的大背景下,现有研究对全球性长期产能过剩问题的关注不足,缺乏政治经济学的分析视角.本文将马克思两大部类分析视角拓展到三大部类,采用非竞争型投入产出表估算了世界主要国家三大部类的价值构成和一般利润率,并借鉴新卡莱茨基模型测算2000-2019年各国三大部类的产能利用率,选用PVAR模型分析了人工智能及一般利润率对三大部类产能利用率的影响.研究发现:发展中国家的三大部类产能利用率均值都高于发达国家,且两者都呈现明显的下降趋势,2008年金融危机带来的"创造性破坏"并未扭转全球范围内的长期产能过剩趋势.一般利润率变动会对产能利用率变动产生负向影响,且其作用力度在发展中国家更大;同时,人工智能增长对一般利润率变动的正向作用也是在发展中国家比发达国家更为显著.人工智能的增长在发达国家倾向于拓展潜在产出而相对拉低其产能利用率,而在发展中国家则短期内倾向于提升实际产出而相对提高其产能利用率.本文的研究结果有助于认清发达国家与发展中国家之间的产能过剩程度,推进全球范围内的长期产能过剩治理,为中国推动高新技术生产资料部类发展提供实践指导.
Artificial Intelligence,General Rate of Profit and Global Chronic Excess Capacity:A Perspective of Three Departments of Political Economics
Under the background of the rapid growth in artificial intelligence(AI)today,the existing research pays insufficient attention to global chronic excess capacity issues,and particularly lacks an analytical perspective of political economics.This paper expands the analysis perspective of Marx's two departments to three departments,uses non-competitive input-output table to estimate the value composition and general rate of profit(GRP)of the three departments in 30 countries,calculates their capacity utilization of the three departments from 2000 to 2019 based on Neo-Kaleckian model,uses the PVAR model to analyze the impact of AI and GRP on the capacity utilization of the three departments.The empirical results of this paper are as follows:firstly,the average capacity utilization of the three departments in developing countries is significantly higher than that in developed countries,their gap shows a clear narrowing trend,and both show a clear downward trend.Secondly,the"creative destruction"brought about by the 2008 economic crisis did not reverse the global"long-term excess capacity"trend.Thirdly,the changes in GRP have a negative impact on capacity utilization,and this negative impact is stronger in developing countries.At the same time,changes in AI will have a positive effect on GRP,and this positive effect is more significant in developing countries than that in developed countries.Lastly,the growth of AI in developed countries tends to expand potential output and relatively lower its capacity utilization,while in developing countries,it tends to increase actual output and relatively increase its capacity utilization in the short run.The academic contributions of this paper lie in the following three aspects:first and foremost,Marx's ideas of two departments are extended to three departments,and the profit margins of the three departments are estimated and incorporated into the calculation process of the capacity utilization in Neo-Kaleckian model,which gives a new theoretical idea for measuring the capacity utilization at the national macro-level.Therefore,it provides a new theoratical explanation for macro capacity utilization.Especially,the approach of this paper helps to break out the western economics'theoretical dilemma that the capacity utilization'results vary greatly with different research methods.Finally,this paper finds that the global"long-term excess capacity"feature is obvious,and AI has a differentiated impact on the capacity utilization of countries with different levels of economic development.Therefore,to a certain extent,the findings of this paper enrich the study of global chronic excess capacity as well as the impact of AI on capacity utilization.This paper has the policy implications for understanding the degree of overcapacity between developed and developing countries,promoting long-term excess capacity governance worldwide,and providing practical guidance for China to promote the development of high-tech department.First,the fact that the average capacity utilization of the three departments in developing countries is significantly higher than that of developed countries shows that,the attempt by a few developed countries to try to accuse developing countries of causing global overcapacity is unfounded.Strengthening communication and coordination,and working together to promote sustainable development of the world economy,are the correct ways to fundamentally solve the problem of global chronic excess capacity.Second,developing countries should explore their competitive advantages,continuously optimize their business environment,utilize their profit margin advantages to attract high-quality foreign investment,actively participate in international cooperation in AI,and promote the development of high-tech department.Developed countries should abandon trade protectionism and unilateralism,and assist developing countries in improving their actual output levels and capacity utilization.Third,in the face of the momentous changes of a scale unseen in a century,China should seize the historic opportunity of the development of AI,vigorously promote international production capacity cooperation,and strive to make technological breakthrough.

chronic excess capacityartificial intelligencethree departmentscapacity utilization

徐春华

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厦门大学经济学院,福建 厦门 361005

厦门大学王亚南经济研究院,福建 厦门 361005

长期产能过剩 人工智能 三大部类 产能利用率

国家社会科学基金一般项目

23BJL112

2024

经济管理
中国社会科学院工业经济研究所

经济管理

CSTPCDCSSCICHSSCD北大核心
影响因子:1.053
ISSN:1002-5766
年,卷(期):2024.46(1)
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