The spatial structure of regional logistics and influencing factors: an empirical analysis based on Sichuan Province, China

Ye, Meng; Mao, Wenjie; Wang, Yaqi

doi:10.21203/rs.3.rs-1213810/v1

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…Ye analyzed the factors affecting the quality of the M&A of AB-InBev through financial performance and non-financial performance. The result of this research is that if the company's motivation for M&A matches its business development strategy and this company can choose the proper target company and reasonably integrate, M&A is a good choice to expand capital and increase the value of the company [1]. Hong analyzed the financial performance and non-financial performance of AB-InBev to find what affects the quality of M&A.…”

Section: Related Researchmentioning

confidence: 99%

Research on Capital Structure and Investment Value of the Beer Industry

Meng

2023

AEMPS

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In recent years, due to the accelerated pace of life, to relieve pressure, most people tend to drink to relax. For the type of wine, the most popular choice is beer. Thus, it may be a good choice to invest in the beer industry for investors. The main purpose of this article is to ana-lyze AB-InBev, which is the leading enterprise in the beer industry, and then get the in-vestment value of this company while providing references for other companies. To achieve this goal, the capital structure of AB-InBev is analyzed by calculating many indicators such as the Weight Average Cost of Capital, and the company's business risks are analyzed in de-tail from three aspects including financial data, costs, and competitors. The result of the analysis is that although the company's profitability is strong, the risk to the company is still high. This leads to the conclusion that risk-neutral or risk-loving people are better suited to invest in AB-InBev.

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Section: Related Researchmentioning

confidence: 99%

Research on Capital Structure and Investment Value of the Beer Industry

Meng

2023

AEMPS

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“…

Social network analysis (SNA) is a highly visual technique that can be used to describe the overall structure of various networks, as well as the relationship between their nodes, by transforming the spatial system into quantitative relational data (Ye et al 2022). Over the past 10-15 years, this approach has become an important methodology in regional science and economic geography (Hui et al 2020).

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confidence: 99%

Analysis of ownership network of European companies using gravity models

2022

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Social network analysis is increasingly applied to modeling regional relationships. However, in this scenario, we cannot ignore the geographical economic and technological nature of the relationships. In this study, the tools of social network analysis and the gravity model are combined. Our study is based on the Amadeus database of European organizations, which includes 24 million companies. The ownership of parent subsidiaries was modeled using economic, technological, and geographic factors. Ownership was aggregated to the NUTS 3 regional level, to which average corporate profitability indicators, the GDP per capita characterizing the economic environment, and the number of patents, which is a proxy of the technological environment, were assigned to NUTS 3 regions. The formation of the ownership network between 2010 and 2018 was characterized using this dataset. As the proposed model accurately describes the formation of ownership relationships marked with edges, it is possible to estimate network properties, such as modularity and centrality.

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