Connotation and implementation logic of the multiplier effect of data elements
In the era of the digital economy,data stands as a pivotal production factor.Recognizing its significance,China prioritizes harnessing the multiplier effect of data elements to bolster economic and social progress.Drawing upon the Keynesian economic framework,this paper delves into the essence of the multiplier effect of data elements,and analyzes its operational logic by examining both the conducive conditions and constraints shaping this effect.The research found that,this multiplier effect reveals two primary facets:spillover effects and feedback effects.The development and utilization of data elements hold the potential to enhance investment,consumption,supply-demand equilibrium,and governmental regulatory capabilities,thus fostering spillover effects.Concurrently,the iterative development and utilization of data elements can elevate the level of original data accumulation,facilitate data circulation,and enhance analytical capabilities through learning by doing,thereby generating feedback effects.The realization logic behind the multiplier effect of data elements underscores the notion that non-competitiveness can drive increasing returns and positive feedback loops,constituting the bedrock for the multiplier effect of data elements.Conditions such as economies of scale,positive externalities,learning-by-doing effects,and productivity enhancements are conducive to unleashing the multiplier effect of data elements.Conversely,challenges such as low data quality,negative privacy externalities,opportunity costs associated with data sharing,and expenses related to data security may impede the realization of this multiplier effect.Hence,it is imperative to advance the digital transformation of enterprises,fostering cross-border integration in the application of data elements.Furthermore,efforts should focus on cultivating a robust digital business ecosystem,smoothing data circulation channels,fortifying data security systems and public services,and nurturing the data security risk management industry ecosystem.Emphasizing efficiency and equity,initiatives should aim to refine mechanisms for distributing income derived from data elements.
"data element×"multiplier effectlearning by doingpositive feedback loopdata circulation
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