Impact of digital finance on urban ecological resilience: evidence from the Yangtze River Economic Belt in China

Zhao, Bin; Fang, Liuhua; Zhang, Jianyu; Li, Wenyu; Tao, Lixia; Yu, Qiuyue; Wen, Chuanhao

doi:10.1007/s11356-023-31431-6

Cited by 8 publications

(2 citation statements)

References 71 publications

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“…First, it was found that the overall trend of digital economy development in the YEB continued to rise, which is consistent with the results in previous studies [52]. Lu et al [53] reported that the digital economy in various regions of China was growing, providing a strong impetus for economic growth and innovation.…”

Section: Discussionsupporting

confidence: 88%

Regional Differences and Spatial-Temporal Evolution Characteristics of Digital Economy Development in the Yangtze River Economic Belt

Chen,

Hu,

Luo

2024

Sustainability

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Digital economy has emerged as one of the primary driving forces for economic globalization. However, assessing digital economy development in a robust and scientific manner remains a great challenge. This paper proposes an evaluation system with measurement errors correction to accurately research the regional differences in and the spatial-temporal evolution characteristics of digital economy development in the Yangtze River Economic Belt (YEB), combining the entropy method, the Dagum–Gini coefficient, an σ convergence model and grey correlation analysis. The results present that the digital economy development index in the YEB rose from 2012 to 2021, with the greatest weight being social livelihood benefits. Meanwhile, there were noticeable regional differences in digital economy development in the YEB; in particular, the middle reaches showed obvious convergence. The grey correlation degree between the influence factors and the digital economy development ranged from 0.5286 to 0.9144, demonstrating a robust positive correlation. The theoretical framework of this paper integrates economic development models with advanced statistical analysis techniques, providing a robust analytical perspective for examining the complexities of digital economy evolution. The insights offer a blueprint for policymakers seeking to foster a robust and equitable digital economy, underscoring the potential of data-driven policy formulations in navigating the intricate landscape of economic globalization.

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Section: Discussionsupporting

confidence: 88%

Regional Differences and Spatial-Temporal Evolution Characteristics of Digital Economy Development in the Yangtze River Economic Belt

Chen,

Hu,

Luo

2024

Sustainability

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“…Distinguished from "e-finance" and "Internet finance", the prevailing perception of digital finance is that it is a brand-new category of economic services that combines traditional financial services with massive data sets, AI, the wireless Internet, and additional digital innovations [1]. 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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Green spaces in Polish large prefabricated housing estates developed in the socialist era

Starczewski,

Rogatka,

Noszczyk

et al. 2024

J Hous and the Built Environ

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Green spaces are an important element of the spatial structure in large prefabricated housing estates. They have their strengths and weaknesses and generate a number of opportunities and threats, the identification of which allows the potential of these areas to be realised and further developed. The goal of the study is to present the general condition and future of green spaces in large prefabricated housing estates in Poland. It is important to note that to date no research works have been published in the literature that would investigate green spaces in such estates using the SWOT/TOWS method, as confirmed by a search of the Web of Science and Scopus databases. The study area included two such estates located in two Polish cities: Toruń (Rubinkowo I) and Kraków (Bronowice Nowe). The study used the SWOT/TOWS method and an urban-architectural inventory research walk. The results of the study indicate that the best strategy for developing green spaces in estates of this kind is the competitive strategy, which involves taking advantage of opportunities while reducing the weaknesses of green spaces. The research walk also identified a diverse composition of green space species and a high proportion of green spaces in the overall estate area. In addition, green spaces are socially inclusive and can be an important element of urban resilience. The results of this research contribute to the discussion on the condition and future of green spaces in the estates.

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Impact of digital finance on urban ecological resilience: evidence from the Yangtze River Economic Belt in China

Cited by 8 publications

References 71 publications

Regional Differences and Spatial-Temporal Evolution Characteristics of Digital Economy Development in the Yangtze River Economic Belt

Regional Differences and Spatial-Temporal Evolution Characteristics of Digital Economy Development in the Yangtze River Economic Belt

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

Green spaces in Polish large prefabricated housing estates developed in the socialist era

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