Research On Influencing Factors Of Data Center Enterprise Value Multiple

In recent years,the total amount of global data has shown a rapid growth trend.According to statistics,the annual global data will increase from 30ZB in 2019 to 175ZB in 2025.The average annual growth rate of my country’s data volume exceeds 50%.In 2020,the total data volume of the world will account for 20%,making it one of the countries with the largest amount of data and the richest data types.The data center provides storage,management and service capabilities for the data generated in the operation of the digital economy,and carries massive data assets.At the beginning of 2020,during the prevention and control of the new crown virus epidemic,the government,enterprises and institutions used a large number of measures such as science and technology to prevent epidemics,telecommuting,distance education,e-commerce life,etc.,to cultivate a large number of emerging customer needs,and drive customer demand in China’s data center industry to a large scale.Growth,entering a new round of outbreak period.In mature overseas markets,data centers have long been the key deployment direction of large investment institutions.In recent years,there has also been a tendency to increase investment.Multinational funds including Warburg Pincus Capital,CapitaLand Group,Keppel Group,etc.,in addition to global asset acquisitions,Has also turned its attention to the Chinese market,and frequently shot in core cities.Reveal the influencing factors and the degree of influence on the data center enterprise value multiple,thereby establishing the prediction model of the enterprise value multiple,which helps to provide a basis for the stock pricing of industry enterprises.It is an urgent problem for market investors to solve.Reasonable valuation and healthy operation are of great significance.Based on the attributes of the data center industry,this paper selects 4 explanatory variables,and the explanatory variable is the enterprise value multiple(EV/EBITDA).Using long panel and unbalanced panel data,selecting 15 typical listed companies whose main business is the data center industry,using quarterly data as the research sample,using feasible weighted least squares(FWLS)regression analysis method to specify the core resources in the core region,The growth rate of operating income has a significant positive correlation with the current enterprise value multiple;the financing cost has a negative correlation with the current enterprise value multiple(10%significance level),and a brief summary of the difference between the theoretical assumptions and the results of the empirical analysis Anatomy.This leads to a conclusion:my country’s data center industry has core resources in core regions,companies with more aggressive expansion and companies with lower financing costs usually have higher valuations.