The convergence level and influencing factors of China’s digital economy and real economy based on grey model and PLS- SEM

Xu, Guoteng; Lu, Tsung‐Hsueh; Xia, Chen; Liu, Yiman

doi:10.3233/jifs-210981

Cited by 6 publications

(5 citation statements)

References 17 publications

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“…Let X (0) = ( x (0) (1), x (0) (2),…, x (0) ( n )) be the original data series and X (1) = ( x (1) (1), x (1) (2),…, x (1) ( n )) be the first-order accumulating data series, where x (1) ( k ) can be calculated as follows based on the first-order accumulating generation operator (1-AGO) [ 34 ].

where x (0) ( k ) indicates the original data, and x (1) ( k ) indicates the 1-AGO data.…”

Section: Methodsmentioning

confidence: 99%

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Causal Analysis and Prevention Measures for Extreme Heavy Rainstorms in Zhengzhou to Protect Human Health

Liu

2022

Behavioral Sciences

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This study focused on the extreme heavy rainstorm that occurred in Zhengzhou in July 2021; approximately 380 people were killed or missing as a result of this storm. To investigate the evolution behaviors of this rainstorm and take corresponding prevention measures, several methods and models were adopted, including cloud modeling, preliminary hazard analysis (PHA), fault tree analysis (FTA), bow-tie modeling, and chaos theory. The main reasons for this rainstorm can be divided into the following three aspects: force majeure, such as terrain and extreme weather conditions, issues with city construction, and insufficient emergency rescue. The secondary disasters caused by this rainstorm mainly include urban water logging, river flooding, and mountain torrents and landslides. The main causes of the subway line-5 accident that occurred can be described as follows: the location of the stabling yard was low, the relevant rules and regulations of the subway were not ideal, insufficient attention was given to the early warning information, and the emergency response mechanism was not ideal. Rainstorms result from the cross-coupling of faults in humans, objects, the environment, and management subsystems, and the evolution process shows an obvious butterfly effect. To prevent disasters caused by rainstorms, the following suggestions should be adopted: vigorously improve the risk awareness and emergency response capabilities of leading cadres, improve the overall level of urban disaster prevention and mitigation, reinforce the existing reservoirs in the city, strengthen the construction of sponge cities, and improve the capacity of urban disaster emergency rescue.

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where x (0) ( k ) indicates the original data, and x (1) ( k ) indicates the 1-AGO data.…”

Section: Methodsmentioning

confidence: 99%

“…Assume the matrix X (1) accords with the exponential change law, and the whitenization equation of the GM(1,1) model is shown as follows [ 34 ].

where t indicates the time; a indicates the developing coefficient; and b indicates the grey input.…”

Section: Methodsmentioning

confidence: 99%

Causal Analysis and Prevention Measures for Extreme Heavy Rainstorms in Zhengzhou to Protect Human Health

Liu

2022

Behavioral Sciences

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“…For example, Andrei et al used sigma convergence analysis to study the gaps between 28 countries of the European Union, and the research showed that the gaps were gradually narrowing [29]. Xu et al analyzed the convergence level using the data from 2005 to 2009 and predicted the future trend [30]. Park et al studied the digital divide phenomenon in 108 countries, classified the level of digital convergence into three categories and proposed targeted recommendations [31].…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial Imbalance, Dynamic Evolution and Convergence of the Digital Economy: Analysis Based on Panel Data of 278 Cities in China

et al. 2023

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Accelerating the development of the digital economy is the way to build a modern industrial system and promote sustainable development. In order to accurately analyze the development status of China’s digital economy, this study introduced a text analysis method to construct an index of the digital economy and surveyed the digital economy based on the panel data of 278 Chinese cities from 2011 to 2019. Moran’s I index, the Dagum Gini coefficient, the kernel density and a Markov chain were used to reveal the space-time difference and dynamic change characteristics. Considering the impact of the spatial correlation and regional division on convergence, we compared the σ values and spatial σ values to study the convergence characteristics after grouping with the decision tree method. The research showed that the digital economy had greatly improved, but it showed a significant imbalance. The research on the regional division of cities according to their geographical distribution and grade showed that the development status of the digital economy was increasingly different, and there was no convergence feature. We chose continuous classification variables and used the decision tree method to divide cities into 10 groups to investigate the convergence. The results showed that the σ values and spatial σ values decreased significantly and showed convergence characteristics. The development of the digital economy showed convergence, indicating that the convergence was greatly affected by the geographical location and grouping basis. Overall, this study contributes to our understanding of the development status of the digital economy, and targeted policy recommendations were proposed to improve the level of digital economy development.

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“…Actively exploring the mechanism and path of the digital economy to realize the structural adjustment and optimization of the sports industry is an inevitable move to realize the high-quality development of China's sports industry under the new normal [7][8]. Based on the domestic perspective, the sports industry belongs to the real economy, and the continuous development and innovation of digital technology have strengthened the integration and development of the digital economy with the real economy in a wider range, a deeper level, and a wider field [9][10].…”

Section: Introductionmentioning

confidence: 99%

Research on the Path of High-Quality Development of Sports Industry Driven by Digital Economy Based on Big Data Analysis

Bai

2024

Applied Mathematics and Nonlinear Sciences

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This paper focuses on how the digital economy drives the high-quality development of the sports industry, explores the new path of development using extensive data analysis, and provides theoretical basis and practical guidance for the innovative development of the sports industry in the digital era. The DEA-Malmquist model and comprehensive data analysis methods are used to measure the development efficiency of the sports industry. The results of the study show that the digital economy has a significant impact on the efficiency improvement of the sports industry, in which the effect on the efficiency improvement of the sports industry is the largest, and the regression coefficient reaches 1.153. In addition, the study also finds that the digital economy can significantly reduce the cost of the sports tourism enterprises, improve the cost profitability, and effectively promote the expansion of consumption. The study’s conclusion shows that the development of digital economy provides new development power for the sports industry, and can effectively promote the optimization of the structure and high-quality development of the sports industry. In this regard, it is recommended to strengthen the application of digital technology in the sports industry and enhance the digitalization level of the sports industry.

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The convergence level and influencing factors of China’s digital economy and real economy based on grey model and PLS- SEM

Cited by 6 publications

References 17 publications

Causal Analysis and Prevention Measures for Extreme Heavy Rainstorms in Zhengzhou to Protect Human Health

Causal Analysis and Prevention Measures for Extreme Heavy Rainstorms in Zhengzhou to Protect Human Health

Spatial Imbalance, Dynamic Evolution and Convergence of the Digital Economy: Analysis Based on Panel Data of 278 Cities in China

Research on the Path of High-Quality Development of Sports Industry Driven by Digital Economy Based on Big Data Analysis

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