RETRACTED: The impact of digital finance development on carbon dioxide emissions: Evidence from households in China

Li, Zhong; Wei-bai, Liu; Wan, Xiangyuan

doi:10.1016/j.techfore.2023.122364

Cited by 18 publications

(7 citation statements)

References 31 publications

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“…Finally, the analysis method used in this paper is the SDM model. In the future, other research methods can be used to explore the impact of common prosperity on carbon emissions and obtain new findings 83 , 84 .…”

Section: Research Limitations and Future Prospectsmentioning

confidence: 99%

Regional common prosperity level and its spatial relationship with carbon emission intensity in China

Zhao,

Long,

Yin

2023

Sci Rep

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The characteristics of common prosperity include harmonious relationships between humans and the environment, as well as sustainable economic and social growth. The process of achieving common prosperity will necessarily have an impact on carbon emissions. In this article, panel statistics collected from 30 Chinese provinces and cities between the years 2006 and 2020 are utilized to assess the level of common prosperity and the intensity of carbon emissions in China. Then the SDM model is applied to explore the effects of the common prosperity level on the intensity of carbon emissions. The findings reveal that: (i) The common prosperity level in China has shown an increasing tendency. Between 2006 and 2020, the mean level of common prosperity increased from 0.254 to 0.486. From the regional perspective, eastern China has seen greater levels of common prosperity than central China, while central China has experienced greater levels of common prosperity than western China; regional disparities in the degree of common prosperity are substantial among Chinese provinces from 2006 to 2020; the common prosperity level is relatively high in economically developed provinces and relatively low in economically backward provinces. (ii) China's carbon emission intensity shows a continuous downward tendency. The annual average intensity of China's carbon emissions decreased from 4.458 in 2006 to 2.234 in 2020. From the regional perspective, the three main regions' carbon emission intensity likewise exhibits a decline in tendency between 2006 and 2020; still, western China continues to have the greatest carbon emission intensity, following central China, while eastern China has the smallest; however, certain provinces, notably Inner Mongolia and Shanxi, continue to have high carbon emission intensity. (iii) China's common prosperity level and carbon emission intensity both exhibit positive spatial autocorrelation at a 1% significant level under the adjacency matrix. The spatial agglomeration effect is significant, and adjacent provinces can affect each other. (iv) The SDM (Spatial Durbin Model) model test with fixed effects finds that the increase in the level of common prosperity suppresses the intensity of carbon emissions in the local area and neighboring regions. (v) The mediating effects model indicates that the process of common prosperity suppresses carbon emission intensity through high-quality economic development, narrowing the income disparity, and the development of a sharing economy.

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Section: Research Limitations and Future Prospectsmentioning

confidence: 99%

Regional common prosperity level and its spatial relationship with carbon emission intensity in China

Zhao,

Long,

Yin

2023

Sci Rep

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“…From the perspective of businesses, digital inclusive finance effectively reduces search costs and the number of interactions with financial institutions by conveying information to enterprises in need of loans through digital platforms. As a result, it lowers financing costs for companies and alleviates unnecessary resource consumption (Li et al, 2023). Furthermore, digital inclusive finance harnesses advanced digital technologies like big data and blockchain to delve into company-specific information, thereby amplifying information transparency (Li J. and Wang Q., 2022;Li Z. and Wang J., 2022;Fan and Feng, 2022).…”

Section: Theoretical Analysis and Research Hypotheses 21 Carbon Emiss...mentioning

confidence: 99%

Digital inclusive finance, consumption structure upgrading and carbon emissions

Ye,

Xu,

2023

Front. Environ. Sci.

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The “14th Five-Year Plan” represents a crucial phase in enhancing financial inclusivity in China and addressing the challenge of “peak carbon emissions.” Given the digital economy’s rapid growth, China must urgently devise a model for high-quality development that combines digital finance with eco-friendly and low-carbon strategies. Uniquely focusing on the intersection of digital finance and sustainable growth, this paper fills a critical gap in the existing literature. To examine the impact of digital inclusive financing on carbon emissions from the vantage point of enhancing consumption structures, this study uses panel data covering the years 2014–2020 from 30 Chinese provinces. This research underscores the novel finding that digital inclusive finance can play a significant role in lowering carbon emissions by encouraging individuals to alter their consumption patterns. Variations across regions are evident in the impact, with the central and western areas experiencing a more pronounced decline in carbon emissions in comparison to the eastern region. Moreover, the influence of consumption structure upgrading varies across regions. Additionally, the study identifies a positive spatial spillover relationship between digital inclusive finance and carbon emissions. Through its pioneering exploration, this study offers fresh insights for boosting digital finance’s carbon-reduction impacts through consumption structure upgrades, strengthening the spatial interconnectedness of digital finance and consumption trends, and eventually supporting a path toward low-carbon, high-quality development.

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“…China's digital finance index rose 26.9% each year from 2011 to 2021 (http://www.199it.com/archives/1489063.html (6 September 2022)), and its fast growth is crucial to economic change and development [2][3][4][5][6], technological innovation [7] and industrial upgrading [8,9], and recognizing the city's upward trajectory [10]. Numerous academic studies demonstrate how the growth in electronic financing can enhance the effectiveness of urban green innovation [11], curb carbon emissions [12][13][14], empower urban green economic growth [5,15], and assist with urban environmental improvement [16] and high-quality economic development [17].…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

The Impact of Digital Finance on the Green Utilization Efficiency of Urban Land: Evidence from 281 Cities in China

Zhang,

Sun

2024

Sustainability

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In the era of digital economy, digital finance, as an innovative financial model, plays an important role in driving urban industrial transformation and development, technological innovation, industrial upgrading and sustainable utilization of energy, and has a significant impact on sustainable urban development. At present, in the process of building a new pattern of Chinese-style modernization in China, it is of great significance to improve the green use efficiency of urban land through digital finance and realize the sustainable use of land resources and the sustainable development of the city. The current study employed 281 Chinese cities from 2010 to 2020 as research samples to investigate the effects of technological financing on the productivity of city land green usage. Based on the ideas of responsible growth and efficient urban development, an assessment index system was developed. Comprehensive empirical tests, such as the Super-SBM model, fixed effect model, and mediation effect model, were implemented in the research. The study’s findings indicate that: (1) Throughout the research period, the benchmark model’s regression outcomes demonstrate that digital banking impacts urban land’s green development efficiency, with positive moderating effects offered by environmental legislation; the optimization of industrial structure has not yet played a positive regulating effect. (2) Urban area green usage performance is more clearly impacted by the extent of use and the degree of digitization, according to the regression results of digital financing heterogeneity. The positive effect of online financial services on a city’s green use efficiency occurs mainly in eastern cities and southern cities, given the results of urban development level difference. In light of resource endowment unpredictability, “non-resource cities” stand to gain more from global finance’s encouragement of resource-efficient urban land use than do “resource cities”. The results of the mechanism test indicate that there is a strong mediating influence from digital finance, city land environmental use productivity, and green technological breakthroughs. In consideration of these results, the following measures are suggested in this paper: (1) Persist in advocating for the transformation of traditional finance into online financing. (2) Intensify the impact of significant variables on the environmentally friendly use of urban areas. (3) Encourage technology creativity and execution through the application of technological economics.

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RETRACTED: The impact of digital finance development on carbon dioxide emissions: Evidence from households in China

Cited by 18 publications

References 31 publications

Regional common prosperity level and its spatial relationship with carbon emission intensity in China

Regional common prosperity level and its spatial relationship with carbon emission intensity in China

Digital inclusive finance, consumption structure upgrading and carbon emissions

The Impact of Digital Finance on the Green Utilization Efficiency of Urban Land: Evidence from 281 Cities in China

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