iBusiness

Journal Information
ISSN / EISSN : 2150-4075 / 2150-4083
Published by: Scientific Research Publishing, Inc. (10.4236)
Total articles ≅ 358
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Latest articles in this journal

Dan Ling, Caiyun Lv
Published: 1 January 2022
iBusiness, Volume 14, pp 41-55; https://doi.org/10.4236/ib.2022.142004

Abstract:
The signing of RCEP is a milestone for regional economic integration in East Asia. This paper aims to seize the opportunities brought by RCEP to China’s manufacturing industry and promote the high-quality development of China’s manufacturing industry. Therefore, the paper sets up three simulation scenarios, uses GTAP10 to simulate the impact of RCEP on China’s subdivided manufacturing industry, and further explores the impact of RCEP on China’s manufacturing industry with different technical levels. The results show that: 1) The reduction of intra-regional trade costs under tariff concessions will promote the increase of output, import and export trade in most of the manufacturing sectors in China; 2) When the tariff is zero, it will obviously promote the import and export of low-tech and medium-high-tech industries in the region. In order to better grasp the benefits of RCEP, we need national policy support and the improvement of the core competitiveness of enterprises.
Jun Zhou, Jinxiao Yang
Published: 1 January 2022
iBusiness, Volume 14, pp 1-23; https://doi.org/10.4236/ib.2022.141001

Abstract:
Based on the sample of A-share group listed companies and their parent companies from 2015 to 2019, this paper empirically analyzes the relationship among board governance, financing constraints and technological innovation using the intermediary effect model. The results show that improving the board governance level of the parent company can significantly improve the innovation capability of enterprise groups. The financing constraint plays a partial intermediary role in the relationship between the board governance of the parent company and technological innovation, that is to say, the improvement of the board governance of the parent company can effectively alleviate the financing constraint problem faced by enterprise groups to a certain extent, and then enhance the group’s technological innovation ability. Therefore, in order to improve the technological innovation ability of enterprise groups, enterprise groups should further optimize the governance level of the board of directors of the parent company, reduce operating costs, and relieve the financing pressure faced by enterprise groups in the process of innovation.
Lingling Zeng, Yanan Xiao, Shilong Chen
Published: 1 January 2022
iBusiness, Volume 14, pp 75-94; https://doi.org/10.4236/ib.2022.142006

Abstract:
With the increasing emphasis on economic development, China’s economy is growing steadily and significantly, and the stock market is becoming more diversified and richer in products and derivatives, resulting in a larger and larger base of investors in the Chinese stock market over the years, with more significant changes in the investment environment of the primary stock market. In the analysis and research around stocks, the fitting and prediction of stock price changes have been one of the keys in the field of stock analysis, however, the current models and solutions for stock price fitting and prediction have not been well received, and are lacking in terms of realistic operability and applicability. In recent years, machine learning and its related models and methods have been widely used in the financial field, which has also promoted the development of stock price fitting forecasting. In order to further improve the accuracy of stock price fitting prediction, this paper introduces the multi-factor prediction model in traditional quantitative stock analysis into the stock price fitting prediction method and improves the general stock price fitting prediction method. This paper finds that the screening of factors that can significantly affect stock prices can indeed be accomplished by using the methodological properties of GBDT and FFM.
Dan Shi, Ajing Yang
Published: 1 January 2022
iBusiness, Volume 14, pp 99-118; https://doi.org/10.4236/ib.2022.142008

Abstract:
This paper uses the method of Text Mining and the GARCH-VaR model to construct Fintech risk index, exploring the relationship between government intervention, media attention and Fintech risks empirically. The result has shown that, first, appropriate government intervention will inhibit Fintech risks; second, media attention can curb Fintech risks to some extent; and third, media attention can change the impact of government intervention on Fintech risks, and as media attention increases, the inhibitory effect of government intervention on Fintech risks will be enhanced. It can be seen from the results that the role of the media is unable to be ignored, whether in the Fintech market or in the process of Fintech risk prevention. Clarifying the market positioning and influence mechanism of the media is of great theoretical and practical significance for correctly handling the relationship among government intervention, media attention and Fintech risks.
Jingru Tian
Published: 1 January 2022
iBusiness, Volume 14, pp 95-98; https://doi.org/10.4236/ib.2022.142007

Abstract:
Venezuela’s present economic crisis that began in 2013 has triggered a series of social and political issues. There is a lack of reliable official data to analyze Venezuela’s economic situation. In this study, I use data extracted from the latest brightness of nighttime lights (NTL) image products to create a visualization of Venezuela’s severe economic depression by exhibiting temporal changes in brightness of NTL from 2013 to 2018 of Venezuela.
Luvsandash Ouyntsetseg, Natsagdorj Tungalag, Rentsen Enkhbat
Published: 1 January 2022
iBusiness, Volume 14, pp 31-40; https://doi.org/10.4236/ib.2022.142003

Abstract:
Long-term forecasting of key macroeconomic indicators such as population is very important for future development policy-making. Population plays an important role in economic decision-making, social security and economic growth. So it is important to develop a good model for predicting economic indicators. In order to improve the growth model, we introduce a new model called Exlog Weighted Sum Model for predicting macroeconomic indicators. This model combines both exponential and logistic models. The proposed model was tested for predicting Mongolian population up to 2040.
Ismail M. Abdirahman, Xu Liu, Qunpeng Hu
Published: 1 January 2021
iBusiness, Volume 13, pp 179-186; https://doi.org/10.4236/ib.2021.134011

Abstract:
The dynamic auction under the protective equipment on COVID-19 has become crucial since the outbreak in December 2019. In this study, we focus on how to remove the shortage of protective equipment of COVID-19 such as face masks, gloves, gowns, goggles, and other equipment used for the protection of the spread of the virus. The dynamic auction market meets many challenges of excess demand, so in this dynamic auction, we propose an extraction auction mechanism to achieve an optimal equilibrium. This equilibrium outcome is competitive equilibrium from the bidder’s true valuation.
Jun Zhou, Zaohua Liu
Published: 1 January 2021
iBusiness, Volume 13, pp 30-47; https://doi.org/10.4236/ib.2021.131003

Abstract:
Based on the sample of A-share listed companies from 2011 to 2018, this paper analyzes the relationship between the performance of independent directors and corporate performance, and the moderating effect of independent directors’ human capital on the above relationship from three perspectives: Meeting attendance, dissenting behavior and resignation behavior. The results show that: 1) Meeting attendance is not related to the company’s performance, and the independent director’s dissenting behavior and resignation behavior improve the company’s performance; 2) The independent director’s human capital enhances the relationship between the attendance at the meeting and the company’s performance, which turns the two into a significant positive correlation; strengthens the positive correlation between the dissenting behavior and the company’s performance; strengthens the positive correlation between the resignation behavior and the company’s performance correlation. The study of this paper is conducive to comprehensively and reasonably evaluate the performance of independent directors and play the role of independent directors.
Gorden Moyo, Kucaca Ivumile Phulu
Published: 1 January 2021
iBusiness, Volume 13, pp 48-66; https://doi.org/10.4236/ib.2021.131004

Abstract:
This article sets out to examine the legal and extra-legal instruments deployed by the ruling executive-military alliance in the fight against the scourge of the COVID-19 pandemic in Zimbabwe. The ruling executive-military alliance led by President Emmerson Mnangagwa has responded to the eruption of the coronavirus by adopting a highly securitised approach backed by a battery of legal and extra-legal instruments. It is therefore the argument of this article that the Mnangagwa administration has weaponised COVID-19 in order to achieve some objectives beyond the public health concerns. In particular, the government has sort to use the lockdown measures to clamp down on political opposition, silence critics, contain the restive population, and entrench its power and control over some key accountability institutions including the legislature, the judiciary, and the media. The article concludes by canvassing for the de-securitisation and de-weaponisation of COVID-19. This means shifting the concept of securitisation of public health threat from a state-centred focus that privileges government and state security apparatuses to one that accentuates people as the main beneficiaries of the fight against this deadly coronavirus pandemic.
Majed Alsolamy, Gihan Taha
Published: 1 January 2021
iBusiness, Volume 13, pp 187-209; https://doi.org/10.4236/ib.2021.134012

Abstract:
The study aims to define the important variables to be considered by auditors during the planning phase in multi-branch organizations. The objective of the research determines the possibility of using the ant algorithm as an AI tool suited to plan the audit and identify the audit schedule. The data is based on a survey to collect data to explore the most important factors that influence audit planning. The findings of the study indicate that: 1) the most important variables in audit planning in multi-branch organizations are risk and materiality; 2) the application of AI methods helps reduce bias and judgment of auditors.
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