Correlation Analysis of Fiscal Revenue and Housing Sales Price Based on Multiple Linear Regression Model

This paper selects seven indicators of financial revenue and housing sales price in recent 19 years in China,and uses SPSS and Excel to carry out descriptive statistics,independent sample t-test,correlation analysis and regression analysis to comprehensively study the correlation between financial revenue and housing sales price in China,and establishes the relationship between financial revenue and housing sales price When the average selling price of commercial housing increases by one unit,the fiscal revenue will increase by 27.855 points.

Analyses of Current Electricity Price and Its Changing Trend Forecast in the Coming Five Years

This paper analyzes the level, characteristics and existing problems of current electricityprice in China. Under the present circumstances the overall orientation of power price reform inthe 10th Five-year Plan period should satisfy the requirements of power industry restructuring.Therefore, it is necessary to set up an appropriate pricing mechanism and system including thelinks of sales price to network, transmission and distribution price (T&D price) and sales price.In the light of various factors influencing increase and decrease in price, a forecast of electricitytariff is given in the five years to come.[

Prediction of NFT Sale Price Fluctuations on OpenSea Using Machine Learning Approaches

The rapid expansion of the non-fungible token(NFT)market has attracted many investors.However,studies on the NFT price fluctuations have been relatively limited.To date,the machine learning approach has not been used to demonstrate a specific error in NFT sale price fluctuation prediction.The aim of this study was to develop a prediction model for NFT price fluctuations using the NFT trading information obtained from OpenSea,the world’s largest NFT marketplace.We used Python programs to collect data and summarized them as:NFT information,collection information,and related account information.AdaBoost and Random Forest(RF)algorithms were employed to predict the sale price and price fluctuation of NFTs using regression and classification models,respectively.We found that the NFT related account information,especially the number of favorites and activity status of creators,confer a good predictive power to both the models.AdaBoost in the regression model had more accurate predictions,the root mean square error(RMSE)in predicting NFT sale price was 0.047.In predicting NFT sale price fluctuations,RF performed better,which the area under the curve(AUC)reached 0.956.We suggest that investors should pay more attention to the information of NFT creators.We anticipate that these prediction models will reduce the number of investment failures for the investors.

China June Passenger Car Sales Rise 29% on Discounts

China＇s passenger car sales rose 29% in June as automakers cut prices to lure consumers.

Price Definitions in Energy Contracts with Investor Owned Generation

Nowadays IPP＇s power plant construction is encouraged by the current deregulatory climate. The financing technique employed to implement these projects is often the project financing formula. Under such condition an investor consortium, usually foreigner plan, build, operate the power plant and sell the generated electricity to the host utility. The sale price is determined from the expected IPP＇s production cost, enhanced from the expected welfare obtainable by selling electricity. This paper proposes a methodology for linking the uncertainty of the future production cost with the price of the electricity generated by an IPP. This is a stochastic approach to the sale price definition problem, while usually conducted through a deterministic procedure.

Electricity Pricing Policy Should Serve Macro-Economic Control

The National Development and Reform Commission beefed up its efforts to promote the work of electricity price reform in 2004. It took measures in aspects of easing price contradictions, tentatively implementing discriminated price and time-of-use price and issuing a policy on the linkage of coal and electricity prices and price administration. In 2005 the basic thinking of the Commission's electricity price reform is to actively advance the pilot work of price reform,carry out the reform of transmission and distribution price, enlarge the scope of pilot work of large consumer's direct purchase, simplify sales price structure and bring about the linkage of coal and electricity prices.

A New Round of Reform in Electricity Pricing System in China

The State Council issued the Scheme for Reforming Electricity Pricing System m the second half of year 2003. It touches upon separating price of plant from that of network, sales price to network, transmission and distribution price, sales price and system principles in regard to electricity tariff mainly.

A review of refinery complexity applications

Refinery complexity quantifies the sophistication and capital intensity of a refinery and has found widespread application in facility classification, cost estimation, sales price models, and other uses. Despite the ubiquity and widespread use of refining complexity, however, surprisingly little material has been written on its applications. The pur- pose of this review is to describe the primary applications of refinery complexity and some recent extensions. A secondary purpose of this review is to provide a framework that unifies complexity applications and suggests avenues for future research. Examples illustrate the applications considered.

Pricing Mechanism in Power Market Construction

The reform on electricity pricing mechanism is a critical problem in power market construction in China, and is in mutual supplementation and promotion with the latter. In particular, the pricing mechanism for electricity fed into network and that for electricity transmission and distribution as well as the relationship between coal and electricity prices, etc. have to be studied in depth. This paper presents several solutions and suggestions to these problems.

Construction and Retrofit of Rural Power Networks in West China

This paper describes briefly the results of construction and retrofit of rural power networks in West China's 12 provinces (regions). A large number of power lines and sub stations were newly built and updated. The rate of power penetration of townships, villages and peasant households was grown significantly. The rate of line loss dropped great ly. Power-supply reliability was improved clearly. The 'same network, same price' of urban and rural residential con sumption was brought about, and sales price to peasant households lowered substantially.

The Genoese Commune Massari＇s Ledger of 1340： The First Computer Modeling Experience and Its Results

Since 1865, the scholars from different countries have been studying the Genoese Massari＇s ledger of 1340. The authors have used a fundamentally new approach when studying this famous register. The authors have also analyzed the full-scale financial processes （from registering the expenses of the commune to their coverage by revenue） instead of analyzing some separate transactions which could prove the presence of the double-entry when registering each economic fact. This becomes possible as a result of the reconstruction of medieval entries and registers in the form of a modem account and the construction of the computer model of the whole ledger of 1340. The model of the system is formed according to seven summits of the revenue of the commune, which are distributed upon many factors of registered expenses and united into 17 reporting points. The special attention is paid to the date of the transaction. The authors have found many answers to some questions which were mysteries before. The explanation is given to the sales of goods below the purchasing price and to the exchange of money with significant losses.

China Apparel Retail Sales slowed down but price picking

China in the rst two months of2013-Apparel retail sales value in50major retailenterprises only increased by6.4%y/y,growthrate slowed down0.6%than the same periodof last year according to Nation Commer-cial Information Center of China.Growthrate slowed down6.1%than in December2012.Men s suitIn February2013,Comprehensive marketshare of the top ten men's suit brands was30.1percent in the national key major retailenterprises,increased by1.6percentage pointscompared to last month.Among them,Youn-gor and ShanShan still occupied the top twoplaces;Goldlion raised to the third;Playboyand Satchi entered the top ten.Men s shirtIn February2013,Comprehensive marketshare of the top ten men's

Shanghai Top 10 Department Stores Retail Sales Value -10.1% m/m in Aug. Sales Volume Down,Prices Up

Shanghai - According to Shanghai Apparel Association,CNY280 million was spent in Shanghai top 10 department stores in Aug. 2011,edging down 10.1 per cent m/m (-9.7% y/y). We’ve seen slight decrease in the retail volume of about 8.

Lexus Announces Official Sale Price of LFA Supercar in China

On December 15, 2009, Lexus China announced the official sale price of its high-performance, luxury two-seat supercar LFA in the Chinese Market. The suggested retail price is 5,988,000 yuan ($880,588).

Ordering and Pricing Decisions of a Retailer in the Presence of Multiple-Time Ordering

This paper studies ordering and pricing issues of a retailer who faces a linear-sensitive demand.The definition of a reasonable retail price is put forward.After that,a deterministic model for trading off sales revenue and total cost is constructed,in which the retailer determines the optimal ordering schedule and the optimal retail price simultaneously for the sake of maximizing its total profit.It is shown that the acquired retail prices are all reasonable.During the process of derivation,both ordering time points and the optimal retail price are expressed as functions of ordering times.By solving a quadratic programming model with an undetermined parameter,we demonstrate that the optimal ordering time points of the retailer are equidistant time points on the given selling periods.Further,the sensitivity of each parameter is analyzed and some meaningful conclusions are drawn.Finally,the ordering times is obtained by analyzing the derivatives of the profit function.

Ordering policies and coordination in a twoechelon supply chain with Nash bargaining fairness concerns

This paper investigates the ordering policies of two competitive retailers,and the coordination status of a two-echelon supply chain by considering the fairness concerns of channel members.We consider that two retailers compete with each other over price,where overstock and shortage are allowed.We assume that the demand is stochastic and considered with additive form.First,based on the Nash bargaining fairness reference point,we obtain the optimal decisions of the fairness-concerned channel members in both the centralized and the decentralized cases using a two-stage game theory.Secondly,we analyze the coordination status of the supply chain with Nash bargaining fairness concerns using ideas of optimization.Finally,numerical experiments are used to illustrate the influence of some parameters,the fairness-concerned behavioral preference of the channel members on the optimal decisions and the coordination status of supply chain.Some managerial insights are obtained.