Atlantis Highlights in Economics, Business and Management

All of the articles in this proceedings volume have been presented at the 3rd International Conference on Internet Finance and Digital Economy (ICIFDE 2023) during 4 - 6 August 2023 in Chengdu, China. These articles have been peer reviewed by the members of the [Scientific Committees and reviewers] and...

Gansu Province is a key construction area on “The Silk Road Economic Belt” established by Chinese “The Belt and Road” initiative. In order to evaluate the level of regional logistics capability in Gansu Province, this paper proposes a regional logistics capacity evaluation method based on the gray correlation...

Customer segmentation can divide the existing customers of an enterprise into different customer groups according to certain standards, and the research on customer segmentation based on customer value has important theoretical and practical significance. Based on the huge customer data accumulated by...

To examine the relationship between digital finance and quality economic development, and the mechanisms by which regional innovation efficiency is transmitted in. This paper use the data of 31 provincial in China from 2011 to 2018, as well as the Fixed effect model, intermediary effects model do test...

The traditional mean variance combination strategy takes into account the volatility of vegetable prices and fails to fully consider the proportion of planting combinations. Based on the theoretical analysis of portfolio management, this paper uses risk parity portfolio strategies and asset allocation...

Nowadays, our economy is developing rapidly, and the financial market has gradually become a very important part of our economic development, in which the stock market is an important part of the financial market and closely related to our economy. For investors, a key problem in making decisions is...

The real estate industry, as a backbone industry of the national economy, whether its tax burden changes are reasonable under the background of tax reduction and fee reduction not only directly affects the behavioral choices of industry market entities, but also affects macroeconomic growth. The article...

Based on the research background that Chinese governments at all levels actively promote the Fintech strategy, this paper collects and sorts out the Fintech related information disclosed in the annual reports of A-share listed companies from 2010 to 2021. Via python crawler and text analysis techniques,...

Under the new development pattern, digital transformation is the best option for retail enterprises to cope with various risks in the face of changing market conditions, to enhance their efficiency and competitiveness. First, this paper uses the DEA-Malmquist index to measure the data of 20 retail enterprises...

Promoting the digital and intelligent transformation of manufacturing industry with digital economy is the necessary way to improve the competitiveness of manufacturing industry in the information era. The article aims to study the degree of influence, mechanism of action and path of influence of digital...

Financial time series models are one of the commonly used methods to conduct stock market analysis and have good forecasting effects. In this paper, we use the monthly return data of Hong Kong stock Hang Seng Index as the research sample and calculate the volatility of low-frequency data based on high-frequency...

In order to increase agricultural efficiency, increase farmers’ income, improve rural environment and economic and social development, a design and application of agricultural economic transaction management platform based on data mining is proposed. In this paper, data mining technology combined with...

Using China’s daily financial data and monthly/quarterly macroeconomic data, this paper constructs a mixed frequency data sampling model (MIDAS) from the perspective of pseudo-out-of-sample forecasting, and adds financial and economic leading factors to compare the macroeconomic prediction accuracy of...

Digital economy is a new direction to promote the adjustment of industrial structure, and can also provide new driving force for reducing carbon emissions. Based on the provincial panel data from 2014 to 2021, this paper uses the benchmark regression model to explore the relationship and the path between...

This article mainly concentrates on the impact of home bias in peer-to-peer (P2P) platforms. Since the absence of geographical barriers in online transfers and visible information flows to investors, the spatial barriers to trading have been broken down and it is logical that no significant local preference...

Digital technology effectively drives the change of manufacturing production technology and business model, and becomes a key driver of manufacturing structural upgrading. Based on the provincial panel data of China from 2013 to 2020, the impact of digital technology on the upgrading of manufacturing...

As electronic technologies rapidly evolve, digital transformation has become an important driving force for high-quality development of firms. In this context, studying the impact of digital transformation on firm performance is of great theoretical and practical importance. This paper selects all Chinese...

Carbon neutrality has become a global consensus, and digital technology can play an important role in achieving carbon neutrality. The paper focuses on empowering financial institutions with digital technology to achieve green and low-carbon transformation. It is believed that empowering financial institutions...

Shipping is an important channel for the international trade transport goods and one of the basic industries of the national economy. With the gradual transformation of China’s water transport industry to high-quality development, the development goals of the port container transport need to be guided...

In order to support green technology innovation and achieve sustainable development, green money is a crucial driving factor. The adoption of sustainable development strategies is something that the Chinese government and the global economy both respect highly in recent years. The article chooses panel...

This study utilizes panel data from large-scale enterprises in the Beijing-Tianjin-Hebei region from 2013 to 2021. R software is used to perform Winsorize processing on the data. By constructing a index system for the development of big data, the relationship between big data development and the green...

This study investigates how effectively the five-factor asset pricing model (FF5) elucidates the behavior of stock returns during COVID-19 pandemic and the period of 2000-2023. Using portfolio-level data and regression analysis, this study assesses the model’s ability to capture fluctuations in stock...

This paper mainly studies the problem of forecasting future stock prices based on historical data. Taking six companies in the CRSP Daily Stock database as research objects, three models of RNN, LSTM, and Bayesian LSTM are used to predict stock prices, and Gaussian noise is added to the data set to analyze...

Green finance can promote environmental governance, guide enterprise resources from high pollution to environmentally friendly. At present, the green finance policy of our country is advancing steadily, and has made great progress in the fields of credit, bonds and funds. This paper examines the impact...

With the development of globalization, cross-border e-commerce began to focus on the reform of marketing model to improve its competitiveness and market share. In this regard, this paper will put forward a set of construction scheme of precision marketing management system in view of many problems faced...

Shaanxi is rich in coal, oil and natural gas resources, and its unique resource endowment makes the development of energy industry in Shaanxi have a decisive impact on China’s energy security. On the other hand, a series of problems occur during regional development, such as the extreme imbalance of...

The circulation industry currently has an important impact on economic transformation. In this context, this study compares the relevant literature in this field and uses factor analysis to measure the circulation efficiency value based on the relevant annual data from 2010 to 2020 in China, so as to...

The rapid development of the digital economy has not only brought new challenges to the labor market in the new economic era, but also provided an opportunity to achieve higher-quality employment for our workers. The data are from 31 Chinese provinces between 2013 and 2020, systematically explores in...

Studying the digital transformation of manufacturing has become one of the necessary conditions for the high-quality development of China’s manufacturing industry. By selecting the data of manufacturing, listed companies in Shanghai and Shenzhen from 2007 to 2021, this paper empirical analyzes whether...

The specific factors influencing customer stickiness in e-commerce live streaming were explored from the perspective of customer experience. A theoretical model of factors influencing customer stickiness in e-commerce live streaming was established by drawing on the SOR model, 360 valid questionnaires...

With the rapid development of auto loan and serious credit problems exposed in the industry, auto loan default situation needs to be improved. Based on the customer data provided by a car loan platform, the paper studies the problem of vehicle loan default prediction. Firstly, the data is preprocessed,...

Based on Panel data of A-share listed companies in Shanghai and Shenzhen and provincial Panel data of digital finance in 2011-2021, this paper uses fixed effect, Mesomeric effect and other models to conduct empirical analysis, and examines the impact of digital finance on corporate environmental protection...

In this paper, we use web crawler technology and principal component analysis to measure the FinTech index and estimate the Lerner index by constructing a transcendental logarithmic cost function and SFA model to empirically investigate the moderating effect of fintech concerning the relationship of...

We use a sample of Chinese A-share listed companies from 2008 to 2019 to explore the impact of controlling shareholders’ share pledging on the strategic change. The empirical results show that out of the motive of maintaining control, controlling shareholders’ share pledging intensifies the strategic...

The level of cash holding is directly related to the survival and development of Chinese private enterprises. The ultimate controller can affect the level of cash holding of enterprises, but the existing research conclusions are inconsistent on the mechanism of the influence. Based on the cash holding...

In an age of digital economy, digital technology is a hugely important factor in promoting the upgrading of industrial structures. Using panel data from 30 provinces of China between 2012 and 2020 analyzes empirically the incidence and mechanism of operation among digital technologies, carbon emission...

As global climate and environmental issues continue to increase, Green Gross Domestic Product (GGDP) has become a more suitable indicator of economic health and development than Gross Domestic Product (GDP). This paper proposes a new climate-environment cost-based GGDP model in macro form, using shadow...

Rural green consumption development is an important part of rural green development and plays an important role in rural consumption carbon emission reduction. This paper measured the rural green consumption development index by the TOPSIS entropy weighting method with a sample of 30 provinces, cities,...

Leveraging the panel data of the Beijing-Tianjin-Hebei region between 2010 and 2020, the ecological efficiency of the Beijing-Tianjin-Hebei region was measured by the entropy method, and the relationship between technological and financial structure and regional ecological efficiency was empirically...

It is the general trend for producer services and manufacturing industries to advance together, in which financial services account for 36.3% of the investment in producer services and manufacturing industries., the role has become increasingly prominent. Through empirical analysis, this paper finds...

This paper mainly introduces the process of analyzing regional economy with academic data. First, we set the perspective of academic data to analyze the regional economy, and selected the scholar activity and the diversity of scholar cooperation to analyze the economic situation; at the same time, we...

In order to make a scientific audit plan under the background of auditing big data, an audit doubt prediction algorithm based on parallel improved random forest algorithm is proposed. The goal of this algorithm is to improve the efficiency of the algorithm while ensuring the prediction accuracy, so as...

In the development era of “Internet+”, digital economy, as a new economic form, has gradually become a driving force to promote the development of enterprises with high quality and high quantity. This study mainly focuses on A-share listed companies in Shanghai and Shenzhen as the research object, selects...

In recent years, the term “big data” has become a topic that people have to talk about, but the term is so abstract that people can't seem to tell who came up with it first. Some say it's the Google team, some say it's McKinsey, a globally renowned consulting firm, and others say that...

In the context of the intersection of digitization and aging, the frequent occurrence of fraud incidents among the elderly poses a great threat to family financial security and has attracted the attention of all walks of life. Based on the China Health and Retirement Longitudinal Study data, this paper...

Forecasting the value of a stock population has always been attractive and challenging for shareholders due to its inherent dynamics, nonlinearity and complexity. In this paper, we propose a stock investment model based on time series forecasting and dynamic programming. The time series forecasting model...

The rise and prosperity of the digital economy have laid a solid foundation for high-quality economic development. Based on the urban Panel data of Heilongjiang Province from 2017 to 2021, the entropy method is used to calculate the comprehensive score of digital economy and high-quality development,...

As one of the most rapidly evolving industries, Electric Vehicles (EV) have drawn significant attention due to their tremendous growth and development potential. In this paper, we used a multifactor model to develop a quantitative stock selection strategy based on fundamental factors of EV companies...

With the continuous improvement of the financial market system and the increasing abundance of financial services, household financial literacy is increasingly important for optimizing household financial behavioral decisions and enhancing household financial well-being. In order to grasp the research...

The influence of innovation on regional economic development is a significant area of scholarly inquiry and holds paramount importance in the context of regional economic advancement. Innovation serves as a driving force for economic growth, bolstering competitive advantages, fostering job creation,...

To solve the problem of financial fraud of listed companies is the fundamental way to maintain the smooth operation of the whole stock market. In order to explore the related problems of the governance of the financial fraud of the listed companies, the prospect theory is introduced in the process of...

In order to explore the impact of manufacturing digitization on industrial upgrading and realize green development. This paper first analyzes the impact of manufacturing digitization on industrial upgrading from both supply and demand aspects, and empirically tests the impact of manufacturing digitization...

In the era of digital economy, ICT has made unprecedented development in the storage and processing capacity of data and information, and promoted the construction of modern commercial circulation system. Based on the Three-stage DEA and Malmquist index model, using the panel data of 11 provinces and...

The opening-up of productive services is an important initiative to promote the high-quality development of China’s economy. The digital economy is driven by technological innovation, building digital platforms to realize data delivery and guaranteeing a stable supply of productive services. Based on...

This study employs panel data from 2015-2020 to construct a panel regression model as well as a threshold effect model in order to examine the impact of the burgeoning digital economy on the modernization of the industrial chain in China. The results of the study show that the modernisation of the chain...

As a pioneer industry of the national economy, the Distribution industry can guide China’s consumption and investment, and the Distribution efficiency can effectively reflect the construction effect of China’s Distribution system, which is of great significance to China’s economic development. Based...

Aiming at the nonlinearity of stock prices, this paper first utilizes deep learning neural networks, including Recurrent Neural Network, Long Short-Term Memory and Gated Recurrent Unit, which are known for their strong capability to fit nonlinear function relationships. These networks are used to construct...

Green transformation and upgrading of manufacturing industry can promote green GDP growth. This article based on panel data from 30 provinces from 2005 to 2021, using Eviews and Stata tools to conduct regression models and mediating mechanism analysis on variables. The research results indicate that...