Unraveling the value release path of data element in manufacturing enterprises:Effects and mechanisms
The ongoing progress in digital technology has simplified the collection,dissemina-tion,interaction,and realization of multi-sourced and heterogeneous data,resulting in changes in the economic operation mechanisms.This paper measures the"data-driven ability"of enterprises from a technological innovation perspective and integrates data elements and an enterprise's"data-driven ability"into the production function.This provides fresh theoretical insights into the intrinsic mechanism by which data elements enable manufacturing companies to reduce costs and improve efficiency.We then get the following results:1)The generation,sharing,and appli-cation of data can significantly enhance the production efficiency of manufacturing companies;2)Further comparison of the processes and differences in the release of data value in companies of different technology intensities reveals that the current application of digital technology and the input of data elements can effectively reduce the manufacturing cost of low tech(LT)and medium tech(MT)manufacturing companies and the sales cost of high-tech(HT)companies;3)Interestingly,when HT companies exhibit stronger data-driven abilities,their production costs tend to rise,indicating that China's HT manufacturing companies are yet to achieve a success-ful transition in production models.Furthermore,based on the industrial correlation theory and industrial agglomeration theory,this paper incorporates spatial factors into the analytical framework.The findings indicate that,from the industrial chain perspective,the integration and development utilization of data across the entire manufacturing process,industry chain,and product lifecycle can improve the collaborative efficiency of the regional industrial chain.This in turn can further enhance the production efficiency of companies.This research enriches the theory and mechanism analysis of digital economy and provides evidence support for further promoting the value release of data elements and optimizing the efficiency of resource allocation.
data elementsmanufacturingtotal factor productivitymechanism analysis
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