首页|数据重塑生产力——数据要素嵌入生产函数初探

数据重塑生产力——数据要素嵌入生产函数初探

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随着社会经济的发展,经济学界对生产力要素影响生产力的认知在不断深化.虽然经济学界已经认识到技术和制度会对生产力产生影响,但至今仍未找到将技术和制度进行内生化处理的方法.对于这些问题,本文通过在生产函数中引入数据要素,将广义技术作为数据要素的函数,分析了数据要素在数据资本化过程中对劳动和资本的重构,创建了一个用于解释人类社会各个发展阶段的新生产函数,以实现技术的内生化.本文通过分析技术创新在社会推广应用过程中遭遇的困难,初步讨论了将制度纳入经济增长模型的泛函数方法.基于以上研究,本文认为,由于数学模型不适合进行大数据模拟,未来可以使用"算法"代替生产函数,利用大数据人工智能辅助进行经济决策.
Data Reshaping Productivity:A Discussion on Embedding Data Elements into Production Functions
Development economics employs the production function to explain the mechanism of changes in productive forces.In this function,significant production factors serve as independent variables and explain the dependent variable of economic output through internal relations and interactions.Labor,land,and capital are the main productive factors adopted by classical theory.When dealing with the influence of other factors,the production function incorporates technology,institutions,etc.,into an indivisible residual term.With the development of social economy,people's understanding of the impact of the factors on productive forces is also continuously deepening.After recognizing the impact of technology and institutions on productive forces,a comprehensive method for internalizing technology and institutions has yet to be found.Thus we attempt to construct a theoretical framework to explain these issues by introducing data elements into the production function.The prerequisite for incorporating data elements into the production function is to delineate their roles and functions in the process of economic growth.It can be used as a meta concept to explain the dynamic mechanism of knowledge and technology,and reveal the changing patterns of data elements themselves,and their impact on other production factors.The absence of data elements in the traditional process of economic growth does not mean that they did not exist in the early stages of human civilization,but rather were less conspicuous and significant.Information,knowledge,and skills can be seen as the products of data processing,while computers enable humans to process and utilize natural and social information at the data level,which is an achievement achieved by human beings in the industrialization stage.By utilizing artificial intelligence technology,we can process and utilize data elements to produce higher economic value,thereby enhancing the level of productive forces.In this situation,data elements have clearly become an indispensable production factor,as well as the main driving force for productive forces and economic growth.This paper uses generalized technology as a function of data elements,analyzing the reconstruction of labor and capital by data elements in the process of data capitalization,and constructing a new production function to explain human society's development stages,in order to achieve technological internalization.We can use this production function to explain the economic growth process and characteristics of the agricultural and industrial eras.This paper preliminarily discusses the difficulties encountered in the promotion and application of innovation in society,and the impact of factors such as institutions and social culture on economic growth,and proposes the view that institutions also have endogeneity.

data elementsdata capitalizationeconomic growthinnovationinstitutional factors

郑磊

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香港中文大学(深圳) 高等金融研究院,广东 深圳 518000

萨摩耶云科技集团,中国香港 999077

数据要素 数据资产化 经济增长 创新 制度要素

2024

东北财经大学学报
东北财经大学

东北财经大学学报

影响因子:0.969
ISSN:1008-4096
年,卷(期):2024.(3)