Research on the Impact and Mechanism of Ningxia’s Digital Economy Development on Environmental Pollution

Yinlong Ma () and Senquan Kong ()
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Yinlong Ma: Xinhua College of Ningxia University
Senquan Kong: University Putra Malaysia

A chapter in Proceedings of the 2023 3rd International Conference on Financial Management and Economic Transition (FMET 2023), 2024, pp 274-288 from Springer

Abstract: Abstract With the digital economy’s recent rapid expansion, it has steadily merged into a variety of areas, including business production, government governance, and resident life, and social and economic development has seen significant changes. In this context, based on the data of five cities in Ningxia from 2011 to 2021, this study uses the hybrid OLS model and different dimensions of digital economy to empirically test the impact of Ningxia’s digital economy development on urban environmental pollution and its internal mechanism. The main conclusions as follows: First, the digital economy in Ningxia has significantly reduced the emission of urban environmental pollutants. At the same time, the conclusion is still valid after the robustness test using the method of explanatory variables lagging one period; second, the analysis is carried out in different dimensions of the digital economy It was found that Ningxia’s digital economy coverage, depth of digital economy use, and degree of digitization of the digital economy all have a negative inhibitory effect on urban environmental pollution, and it is significant at the 1% level, indicating that different dimensions of the digital economy contribute to Reduce urban environmental pollution emissions. The research conclusions provide a reliable empirical basis for Ningxia’s digital economy to help environmental pollution control, and at the same time provide relevant suggestions for the development of the digital economy and the decision-making of pollution reduction and emission reduction of the digital economy.

Keywords: Ningxia Province; Digital Economy Development; Environmental Pollution; Hybrid OLS (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-272-9_31

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