The Operating Revenue of Jinbo Bio-Pharmaceutical for 2023 Reaching 0.78 Billion yuan

In Mar.20th,2024,Jinbo Bio-Pharmaceutical released the first performance report since it was listed at Beijing Stock Exchange,with many data hitting a record high.The company realized an operating revenue of 0.78 billion yuan,with a year-on-year increase of 99.96%,and hitting a new high for the past five years.The net profit attributable to shareholders was 0.3 billion yuan,with a year-on-year increase of 174.6%.The net profit attributable to shareholders after deducting non recurring gains and losses was 0.286 billion yuan,with a year-on-year increase of 181.02%.

Surging Tourism Revenue

The revenue of Egypt’s tourism sector reached$10.7 billion in the fiscal year 2021/2022 that ended in June 2022,marking an increase of around 120 percent over the$4.9 billion in the previous fiscal year,Egypt’s o"cial statistics authority announced on 9 August.

Analysis on the Revenue Status of the“Fourth Terminal”Industry of Ali Health

Objective To analyze the revenue status of the“fourth terminal”industry of Ali Health,and to explore the opportunities of the“internet and medical health”model and provide some suggestions for China’s medical e-commerce industry.Methods Through literature research and network collection methods,a large number of literature and network materials were studied in detail,and the revenue status of the“fourth terminal”of Ali Health in different fiscal years was compared and analyzed.Results and Conclusion According to the revenue of different fiscal years,the“fourth terminal”industry of Ali Health has developed rapidly,and the revenue gap between different business is large,so the“fourth terminal”industry should be improved.

New Pattern:the No.1 A-share Domestic Beauty Brand Changed Hands

On October 30,2023,A-share domestic beauty brands have all submitted their latest report card.Seen from this list of report cards,it is clear that the competition pattern of domestic beauty companies has changed:in the first 3 quarters of 2023,Proya successfully topped the A-share domestic beauty brands list with a revenue of 5.249 billion yuan,surpassing Shanghai Jahwa.At the start of the“Double 11”battle,Proya also led the way as the No.1 in Tmall beauty category in the pre-sale stage.It can be predicted that Proya will no doubt become the first in A-share domestic beauty brands in terms of revenue in 2023.

Ten Changes in the Cosmetics Industry in 2023

New life was accompanied by death,consumption upgrading was accompanied by consumption downgrading,triumphant advancement was accompanied by steady retreatin.In 2023,magic realist dramas were played in China’s cosmetics industry one after another.That year,the domestic brands set off a prologue of counterattacking foreign brands with“Proya winning the first place in Tmall’s Double Eleven promotion for 2023”as a landmark event.That year,South Korean cosmetics,Japanese cosmetics and major European and American brands“became depressed”collectively,and the acutely turbulent list could hardly conceal the injury of“being defeated”and“being unsalable”.That year,Proya and Botanee achieved a rapid growth,and the first domestic cosmetics group with the annual operating revenue exceeding 8.0 billion yuan was coming into being.

"New Quality Productive Forces to Bring Greater Opportunities for Us"——Interview with Jakob Stausholm,CEO of Rio Tinto

"China is hugely important for Rio Tinto as this is the place where we have our biggest customers,our biggest shareholders,and almost 60%of our revenue stems from sales in China."Rio Tinto,the world's largest iron ore producer,has had more tieups and joint ventures with Chinese partners than anyone else.When interviewed by China's Foreign Trade.

The Filing of the First New Material of Pien Tze Huang Completed

According to the Cosmetics Material Filing Information Platform of National Medical Products Administration,the filing of“ANOECTOCHILUS ROXBURGHII EXTRACT”of Fujian Pien Tze Huang Cosmetics Co.,Ltd has been completed.According to public data,Fujian Pien Tze Huang Cosmetics Co.,Ltd.,(hereafter referred to as“Pien Tze Huang”)was founded in March 2002,with more than 90%of the investment from Zhangzhou Pien Tze Huang Pharmaceutical LLC(hereafter referred to as“Pien Tze Huang LLC”).In the 2023 fiscal year,the cosmetics operating revenue of Pien Tze Huang LLC was 0.707 billion yuan,with a year-on-year increase of 11.42%;the gross margin was 62.18%,with 1.58 percentage points less than the same period of 2022.

MEDIA WATCH

PARTICIPATORY PROGRESS Sanlian Lifeweek 8 July Over the past 40 years of reform and opening up,foreign-invested firms,which account for less than 3 percent of enterprises in China,have contributed one-tenth of urban employment,one-fifth of tax revenue,onefourth of industrial output,and nearly a half of total imports and exports.

Briefs

LATEST NEWS FROM THE WORLD OF BUSINESS Expanding Express Delivery China’s express delivery sector registered rapid expansion in both business volume and revenue in May,amid a steady recovery of the Chinese economy and faster consumption growth in particular,data from the State Post Bureau showed on 17 June.

Events Calendar

Ethiopia-Djibouti Railway Reports Surge in Revenue.The Chinese-built Ethiopia-Djibouti railway has transported 680,000 passengers and 9.5 million tonnes of cargo,with its annual transportation revenue increasing 39 percent on average over the past six years.The railway’s Chinese management consortium on 17 May disclosed that the 752-km Ethiopia-Djibouti railway has seen the operation of 2,500 passenger trains with a passenger volume of 680,000 since it started commercial operations in January 2018.Data from the railway’s management team also show that the railway has operated 7,700 freighttrains with cargo volume of 9.5 million tonnes,and achieved the total commercial transport revenue of 11.3 billion Ethiopian birr(about$197 million)during the same period.

Consumption Boom

Spring Festival holiday brings tourists,and the related revenues,back to the destinations.The 474 million trips–raking in 632.69 billion yuan in tourism-related revenue–during the eight-day Spring Festival holiday indisputably signify both the vitality of China’s economy and the huge potential of the country’s domestic consumption.The figures respectively represent a 19 percent increase and a 7.7 percent growth over those for the same holiday period,prior to the COVID-19 pandemic,in 2019,according to data released by the country’s Ministry of Culture and Tourism on 18 February.

Robust Recovery

China’s tourism economy turns the tables amid strong economic and political leadership.China’s tourism figures have surged by nearly 50 percent during the Chinese Spring Festival holiday.This indicates that the COVID-19 smoke has finally cleared,and that the world’s second-biggest economy is on its way to full recovery.According to the statistics released by Chinese tourism authorities on February 18,the country’s tourism revenues increased by 47.3 percent and surpassed pre-pandemic level of 2019.At the height of COVID-19 in 2020,China’s domestic and inbound tourism revenue dropped by as much as 87.1 percent.

Revenue Sharing in Dairy Industry Supply Chain-A Case Study of Hohhot,China

Dairy industry has become an increasingly important enterprise in China as people＇s dietary preferences and composition have changed dramatically with rapid economic development in the past several decades.A number of problems,however,exist in China＇s relatively young dairy industry,including the imbalanced allocation of profits throughout the dairy supply chain.One of the root causes of the melamine infant powered milk scandal in 2008 was the unfair profit allocation mechanism in dairy supply chain.The revenue sharing contract approach has proven to be effective in generating market shares and total profits.In this study,we apply the three-stage revenue sharing contract model of Giannoccaro and Pontrandolfo（2004） in an analysis of dairy supply chain to explore its problems in profit allocation and possible solutions to them.The analysis was conducted by a case study of Hohhot,often called as ＂milk capital of China＂.Our results show that the current profit distribution in the dairy supply chain is not balanced：the supermarket＇s profitfarmer＇s profitmanufacturer＇s profit.Under the revenue sharing contract setting,the dairy industry＇s total profit increased by 12.49%.By exploring different parameters in the revenue sharing contract model,we have found that a win-win situation can be created among all the members of the supply chain.In dairy supply chain,the ratio of the revenue reserved for the supermarket itself is equal or greater than 47% and the ratio of the revenue reserved for the manufacturer itself is between 46.4 and 50.2%.The values of the parameters that generate a sustainable or win-win situation are related to the bargaining position in the dairy supply chain.The revenue sharing contract has proven to be effective and desirable by all the dairy chain partners in dairy supply chain.The results of this study provide relevant information for improving the dairy supply chain structure and the revenue sharing contract model can be applied to other industries,sectors and regions.

Supply Chain Network Equilibrium with Revenue Sharing Contract under Demand Disruptions

Contract is a common and effective mechanism for supply chain coordination,which has been studied extensively in recent years.For a supply chain network model,contracts can be used to coordinate it because it is too ideal to obtain the network equilibrium state in practical market competition.In order to achieve equilibrium,we introduce revenue sharing contract into a supply chain network equilibrium model with random demand in this paper.Then,we investigate the influence on this network equilibrium state from demand disruptions caused by unexpected emergencies.When demand disruptions happen,the supply chain network equilibrium state will be broken and change to a new one,so the decision makers need to adjust the contract parameters to achieve the new coordinated state through bargaining.Finally,a numerical example with a sudden demand increase as a result of emergent event is provided for illustrative purposes.

Application of Grey Model and Neural Network in Financial Revenue Forecast

There are many influencing factors of fiscal revenue,and traditional forecasting methods cannot handle the feature dimensions well,which leads to serious over-fitting of the forecast results and unable to make a good estimate of the true future trend.The grey neural network model fused with Lasso regression is a comprehensive prediction model that combines the grey prediction model and the BP neural network model after dimensionality reduction using Lasso.It can reduce the dimensionality of the original data,make separate predictions for each explanatory variable,and then use neural networks to make multivariate predictions,thereby making up for the shortcomings of traditional methods of insufficient prediction accuracy.In this paper,we took the financial revenue data of China’s Hunan Province from 2005 to 2019 as the object of analysis.Firstly,we used Lasso regression to reduce the dimensionality of the data.Because the grey prediction model has the excellent predictive performance for small data volumes,then we chose the grey prediction model to obtain the predicted values of all explanatory variables in 2020,2021 by using the data of 2005–2019.Finally,considering that fiscal revenue is affected by many factors,we applied the BP neural network,which has a good effect on multiple inputs,to make the final forecast of fiscal revenue.The experimental results show that the combined model has a good effect in financial revenue forecasting.

Empirical Research on Relationship between Corporate Brand Value and Apparel Market Sales Revenue of Apparel Enterprise

Among the existing researches on brand value,few of them focused on the demands of the companies in the clothing industry to brand value. There were three innovation points as follows: first of all,two key demands of apparel companies to existing brand value were summarized through investigation; then,the concept of rapid brand value evaluation and multi-dimensional factors( MDFs) was presented; finally,the relationship between apparel corporate brand value and the sales revenue in apparel market with the sales revenue was proven by empirical research.During the process of empirical study,the sales revenue data of 66 apparel enterprises domestic and abroad were collected,and the regression analysis has been done on the relationship between the corporate brand value and the apparel market sales revenue of apparel enterprise. The empirical research showed that they were positively correlated to each other. This conclusion presented a method of judging brand value development trend quickly by single indicator.

Using Artificial Neural Network Modeling in Forecasting Revenue: Case Study in National Insurance Company/Iraq

There are few changes that took place in Iraqin many fields during the past few years;the financial aspect is one of the fields that undergone this change. The change has positive impact because it increases the revenue inIraqfrom the oil exports. The National Insurance Company is one of many companies that belongs to the Ministry of Finance inIraqand has affected directly from this change in term of increasing the number of the insurers which we will discuss in this research. The aim of this research is to forecast the insurance premiums revenue of the National Insurance Company between the years 2012 to 2053 using Artificial Neural Network based on the actual annual data of the insurance premiums revenue between the years 1970 to 2011. The data analyses results of this research show that the growth indicator of the insurance premiums revenue for the next 41 years is approximately 120%, the Mean Squared Error is the average squared difference between outputs and targets. Lower values are better. Zero means no error and the regression values are very high. The estimations and forecasts of the insurance premiums revenue using Artificial Neural Network confirmed to be strong and useful to deploy it for forecasting the insurance premiums revenue.

Airline Alliance Revenue Distribution Considering Horizontal and Vertical Competition

Considering the existence of multi-level fares in the alliance,and the existence of horizontal competition and vertical competition at the same time,this paper intends to maximize the revenue of airline alliance and fairly distribute the revenue to member airlines.Firstly,a model is built under the centralized mechanism,in which all airlines in the alliance are regarded as a whole.By solving the model,the shadow price of each flight leg on the code-sharing route is gotten.It is used to calculate the proportion of the revenue distribution.Then,the centralized model is decomposed into the single airline model by the proportion.The seat allocation among airlines and distributed revenue can be gotten by solving the model.Three typical examples are designed to test it.The results show that,the model can effectively reflect the managerial principal of the airline alliance,that is maximizing total revenue and fairly distributing the revenue among member airlines.

Mode Selection Strategy of Dual Distribution Channel Based on Revenue Analysis

Within the scope of dual distribution channel(DDC)modes—ME&T-C and M-T&E-C,a game model designed for channel members was proposed.Based on this game model,the game equilibrium under both centralized and decentralized decisionmaking situations was analyzed,the channel members' and overall revenues of two modes under the same decision-making situation are compared,and the influence of demand shift coefficient to the overall and members' revenue was also studied through example analysis.Based on the comparison and analysis of the revenue yielded from the two DDC modes,it's discovered that within a certain hypothetical range,the M-T&E-C mode seems to be a better option for the manufacturer than the ME&T-C mode.Therefore,this discovery can be served as a theoretical reference for manufacturers when choosing the optimal DDC mode in real life.

Wind Power Revenue Potential: Simulation for Finland

Potential revenue from wind power generation is an important factor to be considered when planning a wind power investment.In the future,that may become even more important because it is known that wind power generation tends to push electricity wholesale prices lower.Consequently,it is possible that if a region has plenty of installed wind power capacity,revenue per generated unit of electricity is lower there than could be assumed by looking at the mean electricity wholesale price.In this paper,we compare 17 different locations in Finland in terms of revenue from wind power generation.That is done by simulating hourly generation with three different turbine types at two different hub heights and multiplying that by the hourly electricity spot price for years 2018 and 2019.Estimated revenues differ greatly between locations and turbine types,major factor being technical potential i.e.,the amount of electricity generated.Differences between revenues per generated MWh seem to be small,however,the smallest figures being on the western coast where installed capacities are also the largest in Finland.