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.

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.

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.

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.

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.

Revenue-sharing contract to coordinate independent participants within the supply chain

To improve the performance of the supply chain with one supplier and multiple retailers under deterministic price-sensitive customer demand, an optimal strategy is proposed based on knowledge discovery. First the decentralized system in which the supplier and the retailers are independent, profit-maximizing participants with the supplier acting as a Stackelberg game leader is studied. Numerical examples illustrate the importance of the coordination. The conventional quantity discount mechanism needs to be modified to coordinate the supply chain, so a revenue-sharing contract is proposed to coordinate such supply chain. Lastly, a special decision under certain demand rates is studied. The pricing and replenishment policies can be decided sequentially, which yields much less loss comparing with optimal decision when the demand rates are sufficiently large.

Economic Implications of CO2 Emission Reduction in Japan Applying a Dynamic CGE Model with Endogenous Technological Change： Use of Emission Permit Revenue

This study analyzes the economic and environmental impacts of a climate change measure in Japan using a single-country dynamic computable general equilibrium model with technological change as an endogenous variable. In this way, a comprehensive analysis of the relationships between climate change and its measures, technology, and economy has been done. The model uses technological change as the accumulation of knowledge capital that is derived from research and development investment. The study investigates the impacts of a climate change measure considering the use of emission permit revenue and technological change induced by the policy implementation in the Japanese economy. Simulation results show that there is compatibility between CO2 emission reduction and positive effects on GDP that depends on the ways of the revenue use and technological change induced by emission reduction. However, it is not possible to find the ways to realize positive effects on both GDP and welfare simultaneously in the study. The sensitivity analysis for the elasticity of substitution between knowledge capital and other inputs also confirms the obtained results.

Research on Tax Revenue Flexibility Based on the Perspective of Central Tax in Chongqing

Tax revenue is the main part of the finance revenue, and it plays an important role in the process of achieving the finance goals and promoting the economic development. Tax revenue flexibility is a main index which reveals the whole country's burden on the main macro-economy. The paper did an empirical research on national tax revenue flexibility in Chongqing from the total and structural perspectives, and it shows that there are some fluctuations during 2005-2009, which are still within a normal range. Tax revenue promotes Chongqing's economic growth.

Study of the Option Ordering Policy concerning Perishable Farm Produce Based on Revenue Sharing Contract

This paper considers the two-echelon supply chain system which consists of single agricultural producers and retailers,and analyzes the impact of sharing ratio on the option ordering quantity,and retailers and producers' expected profits.Studies have shown that in the case of decentralization,when the revenue sharing ratio is between 0 and 0.3,the option ordering quantity of farm produce is a decreasing function of the sharing ratio; when the revenue sharing ratio is between 0.3 and 1,the option ordering quantity of farm produce is an increasing function of sharing ratio; when the revenue sharing ratio is between 0.421 and 1,the agricultural producers and retailers' expected profits are an increasing function of sharing ratio.Finally,through the numerical calculation,the applicability of the conclusions is verified,to provide a reference for the supply chain management practices.

The Research of the Tariff Revenue Impact on China Based on APEC List of Environmental Goods

In this paper, the development conditions of the trades of merchandises among APEC countries, which were based on the APEC environmental goods are retrospected and summarized. Considering the commitments to reduce tariff rates on the 54 types of goods in 2015, the international tariff revenue of each country on this kind of goods will be influenced to different extents. This article quantifies the potential loss of each country from the perspective of the tariff revenue loss and contrasts the results, in order to offer related advice and suggestions from the standpoint of Chinese participation of tariff reduction among environmental goods.

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.

Comparative Revenue, Obstacle Factors and Promoting Strategy of Sprinkling Irrigation in Wheat Field: A Case Study from Yanzhou, Shandong Province in China

This paper takes 30 hm2 wheat sprinkling irrigation land of Yunguo Family Farm in Yanzhou, Shandong Province, China as a sample, and draws a conclusion by comparing it with other households (including individual and large households). The conclusions are as follows: wheat sprinkling irrigation has a remarkable water-saving effect and comparative revenue. Water saving efficiency can reach 61.54% and a comprehensive income-increase rate can reach 38.67%. The main factors of increasing income and incentives of saving irrigation by sprinkling irrigation ranks as the following: saving land consolidation and water monitoring labors (accounts for 62.50%), saving land area of wheat bed to increase production and income (accounts for 23.44%), saving water bills (accounts for 14.06%). The incentive effect of water saving is not obvious mainly because the water price is low. The main obstacles to the promotion of sprinkling irrigation by individual household are the uneconomical scale and the barriers of coordination of proxy irrigation. Other large household’s (family farm) obstacles are mainly the instability of land tenure and mixed management. Suggestions on promoting sprinkling irrigation in wheat field: Accelerate land circulation and promote agricultural scale management to create basic scale conditions for spreading sprinkling irrigation;stabilizing farmland management rights as stabilizing farmland contractual rights, thus giving long-term business interests to all kinds of large household owners;guide the development of “scale + specialization” modern family farms;appropriate water saving subsidies should be given according to the positive externality of household water saving;confirm agricultural water rights to household and allow compensated transfer of “surplus water rights”.

Quantification of Revenue Induction and Expenditure Reflux in a Monetary Economy

In a monetary economy, expenditure induces revenue for each agent. We call this the revenue induction phenomenon. Moreover, in a special case, part of the expenditure by an agent returns as their own revenue. We call this the expenditure reflux phenomenon. Although the existence of these phenomena is known from the olden days, this paper aims to achieve a more precise quantification of them. We first derive the revenue induction formula through solving the partial money circulation equation. Then, for a special case, we derive the expenditure reflux formula. Furthermore, this paper defines the revenue induction coefficient and the expenditure reflux coefficient, which are the key concepts for understanding the two formulas, and examines their range.

A method for measuring investment risk based on a relative risk-excess revenue model

This paper identifies the shortcomings of variance and semi-variance methods in investment risk measurement and introduces a new model,namely RR-ER (relative risk and excess revenue) model,which takes account of the revenue over expectation problem.Properties of RR-ER model and the consistency between RR-ER model and traditional risk measure model with regard to continuous random variables are discussed.Case analysis is presented to prove the practicality and efficiency of this new method.

Risk of North Pole Route on Suez Canal Revenue

The inauguration of the North Pole route as an alternate route for transporting cargoes between the Far East and Europe appears to be extremely acceptable by shipping companies owing to the huge saving in fuel consumption, bunker cost, operating cost, emissions and journey time. This route conversion will not only have an impact on the maritime business activity in the Suez Canal, but also the Egyptian economy in several aspects when the number of vessels passing through the Suez Canal and the Indian Ocean decreases. The aim of this study is to analyze the impact of the opening of the Northern Sea route on maritime sector of the Egyptian economy. The scope of this study is concentrating on the Suez Canal shipping activity by using the statistics that have been received from Suez Canal Authority through a set of direct and indirect interview sessions with authority＇s experts.

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.