ArticleInternational journal of environmental research and public health2022
Impact of Digital Economy Development on Carbon Emission Efficiency: A Spatial Econometric Analysis Based on Chinese Provinces and Cities.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed.
- Research on the impact of artificial intelligence development on urban low-carbon transformation.Scientific reports · 2025Article
- Exploring the pathway to carbon neutrality in China based on a dynamic spatial Durbin quantile regression model.Scientific reports · 2025Article
- Impact of the digital economy on carbon dioxide emissions in resource-based cities.Scientific reports · 2024Article
- The impact of digital transformation of infrastructure on carbon emissions: Based on a "local-neighborhood" perspective.PloS one · 2024Article
- Can the Digital Economy Promote the Upgrading of Urban Environmental Quality?International journal of environmental research and public health · 2023Article
- Horizontal COInternational journal of environmental research and public health · 2023Article
- Government Intervention, Structural Transformation, and Carbon Emissions: Evidence from China.International journal of environmental research and public health · 2023Article
- Can digitalization and low-carbonization progress in harmony? Evidence from Chinese cities.PloS one · 2023Article
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7 authors.
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Abstract
In the realistic context of the development of China's digital economy and carbon peaking and carbon neutrality goals, to efficiently achieve high-quality economic and green and low-carbon transformation, this paper investigates the impact of digital economy development on the carbon emission efficiency of 30 Chinese provinces and cities from 2011-2019. In this paper, firstly, the digital economy development index and carbon emission efficiency are calculated by the entropy method and the Super-SBM-Undesirable Model. Secondly, the Spatial Lag Model (SAR) and the Spatial Durbin Model (SDM) are respectively constructed under the adjacency matrix and the geographic distance matrix to empirically test the spatial impact of the digital economy on carbon emission efficiency. The results show that: the digital economy development and carbon emission efficiency of Chinese provinces and cities both show the spatial distribution characteristics of stronger in the East and weaker in the Middle and West; the digital economy development in Chinese provinces and cities has a significantly positive direct and spatial spillover effect on carbon emission efficiency; there are differences in the direct and spatial spillover effects of various dimensions of the digital economy development on the carbon emission efficiency in Chinese provinces and cities; the direct effect of the digital economy development on the carbon emission efficiency in Chinese provinces and cities has significant regional heterogeneity among eastern, central, and western regions. This paper provides new empirical evidence for developing countries such as China to proactively develop a digital economy to promote energy conservation and emission reduction to realize green and low-carbon transformation.
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