Based on the Environmental Kuznets Curve framework, the environmental impacts of data factor marketization are deconstructed into three dimensions: scale effect, structural effect, and technological effect. Using the panel data of 266 cities in China from 2011 to 2023, this paper quantifies the data factor marketization through the entropy method. This paper examines the bilateral effects of this marketization on pollution reduction and carbon mitigation of cities. The results show that the data factor marketization exacerbates pollution and carbon emissions by expanding industrial productions and regional GDP (scale effect), which represent the positive effect. Conversely, it reduces pollution and carbon emissions by promoting green technological innovation (technological effect) and advancing industrial upgrading, improving energy efficiency, and strengthening green credit development (structural effect), which together represent the negative effect. Further analysis reveals that the structural and technological effects outweigh the scale effect, resulting in a significant overall reduction in pollution and carbon emissions, thus contributing to pollution reduction and carbon mitigation. These findings not only provide a new theoretical perspective for revealing the environmental regulatory function of the market-oriented construction of data elements, but also provide evidence for the government to promote the deep integration of digital economy and green development through institutional innovation.
CAO Zeng-dong
,
TU Qin
,
XIA Wen-hao
. Study on the bilateral effects of data factor marketization in driving pollution reduction and carbon mitigation of cities[J]. Urban Problems, 2025
, 357(4)
: 57
-67
.
DOI: 10.13239/j.bjsshkxy.cswt.250405
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