Research on the intelligent supervision and operation platform of railway real estate

Railway real estate is the fundamental element of railway transportation production and operation.Effective management and rational utilization of railway real estate is essential for railway asset operation.Based on the investigation of the requirements of railway real estate management and operation,combined with Beidou positioning,GIS(Geographic Information System),multi-source data fusion and other cutting-edge technologies,this paper puts forward the multi-dimensional dynamic statistical method of real estate information,the identification method of railway land occupation and the comprehensive evaluation method of real estate development and utilization potential,and build the railway real estate supervision and operation platform,design the function of the platform,so as to provide intelligent solutions for the railway real estate operation.

Architecting the Metaverse: Blockchain and the Financial and Legal Regulatory Challenges of Virtual Real Estate

There has been disagreement over the value of purchasing space in the metaverse, but many businesses including Nike, The Wendy’s Company, and McDonald’s have jumped in headfirst. While the metaverse land rush has been called an “illusion” given underdeveloped infrastructure, including inadequate software and servers, and the potential opportunities for economic and legal abuse, the “real estate of the future” shows no signs of slowing. While the current virtual space of the metaverse is worth $6.30 billion, that is expected to grow to $84.09 billion by the end of 2028. But the long-term legal and regulatory considerations of capitalizing on the investment, as well as the manner in which blockchain technology can secure users’ data and digital assets, has yet to be properly investigated. With the metaverse still in a conceptual phase, building a new 3D social environment capable of digital transactions will represent most of the initial investment in time in human capital. Digital twin technologies, already well-established in industry, will be ported to support the need to architect and furnish the new digital world. The return on and viability of investing in the “real estate of the future” raises questions fundamental to the success or failure of the enterprise. As such this paper proposes a novel framing of the issue and looks at the intersection where finance, technology, and law are converging to prevent another Dot-com bubble of the late 1990s in metaverse-based virtual real estate transactions. Furthermore, the paper will argue that these domains are technologically feasible, but the main challenges for commercial users remain in the legal and regulatory arenas. As has been the case with the emergence of online commerce, a legal assessment of the metaverse indicates that courts will look to traditional and established legal principles when addressing issues until the enactment of federal and/or state statutes and accompanying regulations. Lastly, whereas traditional regulation of real estate would involve property law, the current legal framing of ownership of metaverse assets is governed by contract law.

Empirical evidence on the ownership and liquidity of real estate tokens

To better understand the potential and limitations of the tokenization of real asset mar-kets,empirical studies need to examine this radically new organization of financial mar-kets.In our study,we examine the financial and economic consequences of tokenizing 58 residential rental properties in the US,particularly those in Detroit.Tokenization aims at fragmented ownership.We found that the residential properties examined have 254 owners on average.Investors with a greater than USD 5,000 investment in real estate tokens,diversify their real estate ownership across properties within and across the cities.Property ownership changes about once yearly,with more changes for proper-ties on decentralized exchanges.We report that real estate token prices move accord-ing to the house price index;hence,investing in real estate tokens provides economic exposure to residential house prices.

Analysis on the Competitiveness of Industrial Real Estate Based on Diamond Model ——Taking Jiangxi Province as an Example

Based on the current development of industrial real estate of Jiangxi Province, comprehensive analysis was conducted to 6 aspects using the idea of diamond model, namely, factor conditions, demand conditions, related and supporting industries, firm strategy, structure and rivalry, government and chance through the comparison with the other industrial real estates and analysis on horizontal competition in China. Development countermeasures were investigated to improve the competitiveness of the industrial real estate in Guangxi, putting forward the strategies of developing the role of government and business, seizing the opportunities of the times, city-industry integration development, implementation of industrial integration and integration of city development, the implementation of industrial integration and investment planning.

A Concept about Guide on Hazards for the Real Estate Business-An Example from Bulgaria

The paper is a part of wider investigation related to the application of basic sciences to the sustainable development of society.It deals with the presentation of knowledge to the real estate(fast growing business)about the local natural and man-made hazards in the near vicinity of any structure(inhabitant,recreation area,land,etc.)and their influence to the social safety and human comfort of life.The structure,necessary information and knowledge base for visible or hidden hazards about a guide for the real estate business is included.An example of application the knowledge about seismic hazard and related phenomena simplified to be more available to the non-specialists(such as real estate agents and companies)targeted to Sofia(the largest urban center and capital of Bulgaria)can attract and improve the learning abilities of the real estate for the society’s sake.

Examining the Impact Factors and Strategies to Mitigate Economic Fluctuation in the Real Estate Sector

With the continuous growth of the economy and the rapid pace of urbanization,the real estate sector has assumed an increasingly substantial role within the national economy.Ensuring the stable and sustainable development of the real estate sector to maximize its societal and economic contributions has become a pressing issue.China,presently engaged in an extensive urbanization drive,places real estate development and sales as pivotal components in the broader real estate industry,significantly impacting the overall functionality of the real estate market.Real estate,being a comprehensive system encompassing land,housing,infrastructure,and other key elements,exerts a profound influence on people’s basic needs such as shelter,sustenance,and daily living.Its evolution directly shapes the trajectory of the national economy and social stability.Therefore,to foster the consistent and robust growth of China’s real estate economy,it is necessary to implement effective measures that entail a systematic and thorough analysis of the factors responsible for the fluctuations in China’s real estate economy.

The Impact of Hot Money on Chinese Real Estate Price

Because of the expectation of RMB appreciation and the extremely high return rate of Chinese real estate market,more and more hot money rushed into China.As a result,the real estate price level is getting higher and higher,the bubble economy is getting worse,and the Chinese real estate is accumulating numerous risks.This study tried to find out the relation between the hot money and Chinese real estate price level with the help of empirical method.The study not only analyzed the impact of hot money on Chinese real estate price level and its harmful influence over the economy,but also proposed some suggestions to supervise the real estate market.

Analysis of the Development of Real Estate Industry from the Perspective of Supply Side Structural Reform

The role of the real estate industry plays a very important in China＇s eco- nomic reform, and in recent years, with the onomy, the real estate enterprises in China progressive development of market ec- have become weak. However. the ＂hot real estate＂ seems to be in constantly upgrading. Industry development is necessary for the operation of each enterprise. Development is an important part of the strate- gy of an enterprise, and according to the current situation of development of real estate economy, it is very important for the development of the whole economy to predict the future development trend. The proposal of supply side structural reform measures could resolve the problems of remaining capacity and high inventory, which makes China＇s real estate industry present a new atmosphere. In this paper, a typical case, the listed real estate company ZHONG HUA Real Estate Enterprise Company Limited was selected to analyze its conditions, finding that inventory ex- cess production capacity and low land use efficiency were common problems in the development process of real estate industry at present. In order to solve these problems, some concrete suggestions and countermeasures were proposed from the government control management, real estate management and property buyers de- mand management.

Design of the Blockchain Smart Contract: A Use Case for Real Estate

Blockchain is a fast-disruptive technology becoming a key instrument in share economy. In recent years, Blockchain has received considerable attention from many researchers and government institutions. This paper aims to present the Blockchain and smart contract for a specific domain which is real estate. A detailed design of smart contract is presented and then a use case for renting residential and business buildings is examined.

An Effective Prediction Method for Supporting Decision Making in Real Estate Area Selection

Real estate has been a dominant industry in many countries. One problem for real estate companies is determining the most valuable area before starting a new project. Previous studies on this issue mainly focused on market needs and economic prospects, ignoring the impact of natural disasters. We observe that natural disasters are important for real estate area selection because they will introduce considerable losses to real estate enterprises. Following this observation, we first develop a self-defined new indicator named Average Loss Ratio to predict the losses caused by natural disasters in an area. Then, we adopt the existing ARIMA model to predict the Average Loss Ratio of an area. After that, we propose to integrate the TOPSIS model and the Grey Prediction Model to rank the recommendation levels for candidate areas, thereby assisting real estate companies in their decision-making process. We conduct experiments on real datasets to validate our proposal, and the results suggest the effectiveness of the proposed method.

The analysis of capital structure of Chinese real estate listed companies

Capital structure is the basis for assessing the efficiency of enterprise financing activity. The rational capital structure could reduce the cost of capital and plays an important role in managing a company. Thus this paper, based on the real estate listed companies on Shenzhen and Shanghai stock markets, analyzes the factors which influence capital structure, such as profitability, size, collateral value of assets, growth, stockholder’s equity, concentration degree of control power, ownership attribute, and applied statistics tools used to help the real estate listed companies optimize the structure of capital.

Infinite Loop?What Is Behind the Ongoing Turmoil in the Banking Sector?

The war in Ukraine is unfortunately not over,to add insult to injury,Silicon Valley Bank collapses and Credit Suisse acquired by UBS under the Swiss emergency legislation.The merger of Credit Suisse with UBS,Switzerland’s biggest bank,has also raised concerns about the proliferation of more institutions deemed“too big to fail”.Through the study of four financial crises in the past 100 years,this paper believes that behind this potential financial crisis is still the real estate bubble,but the significant problems in the United States are the most worrying.Post-financial crisis recessions are costlier and last longer than normal recessions.When credit booms are superimposed with asset price bubbles,financial crises are highly likely and economic recovery will be slower.In this paper,relative data and regression model are used to analyze the causes of the crisis;further this paper discusses the reasons behind the financial crisis and related conjectures and gives relevant development speculations.

Research on the Effect of Artificial Intelligence Real Estate Forecasting Using Multiple Regression Analysis and Artificial Neural Network: A Case Study of Ghana

To transition from conventional to intelligent real estate, the real estate industry must enhance its embrace of disruptive technology. Even though the real estate auction market has grown in importance in the financial, economic, and investment sectors, few artificial intelligence-based research has tried to predict the auction values of real estate in the past. According to the objectives of this research, artificial intelligence and statistical methods will be used to create forecasting models for real estate auction prices. A multiple regression model and an artificial neural network are used in conjunction with one another to build the forecasting models. For the empirical study, the study utilizes data from Ghana apartment auctions from 2016 to 2020 to anticipate auction prices and evaluate the forecasting accuracy of the various models available at the time. Compared to the conventional Multiple Regression Analysis, using artificial intelligence systems for real estate appraisal is becoming a more viable option (MRA). The Artificial Neural network model exhibits the most outstanding performance, and efficient zonal segmentation based on the auction evaluation price enhances the model’s prediction accuracy even more. There is a statistically significant difference between the two models when it comes to forecasting the values of real estate auctions.

Application of the Option Game Theory to the Real Estate Enterprise Investment Decision

One of the remarkable characteristics of the current development of China's national economy is the increase of uncertainties, which makes the traditional method more and more unsuitable for the current economic development in the real estate investment process. Based on the option game theory, the investment decision making of real estate is analyzed here, the investment optimization mathematic model established, and Nash Equilibrium discussed. Through case studies, we analyze the application of game option in the real estate, which is put under symmetrical duopoly. The conclusions will contribute to both the theory on and practice of the present investment in the real estate enterprise.

A Research on Government Regulations on High Price and High Vacancy in Real Estate: A Case Study of the Southern District of Qingdao City

Real estate plays a vital role in national economy and contributes a lot to social development. However, the rapid progress that has been made brings some problems, such as high price and high vacacy. This thesis takes Southern District of Qingdao City as an example to illustrate government regulation concerning real estate, and at the end some suggestions are provided.

The comparison and analysis of real estate operation in China

This paper raises the comparison method of operational stages of the real estate market. In order to select similar operational stages, we established an analysis model by applying fuzzy grade-of-membership clustering in this paper. Firstly, we select the materials information of the real estate market in America, Germany and Japan. Secondly, the real estate markets of America, Germany and Japan are divided into several different stages. Lastly, we apply the method of fuzzy grade-of-membership clustering to select comparable stages. The result of analysis indicates that the real estate market of Japan and Germany (1960-1980) are similar to the market in China.

Reflection on the Development of Real Estate in the Context of Block System Reform

Last year, the State Council issued the Several Opinions on Further Strengthening the Management of Urban Planning. The guideline on urban planning has sparked heated debate among Internet users over opening up gated residential communities to public road system. This paper, based on the analysis of the background and contents of block system reform, explored the problems of the implementation of the block system reform and the impact of the block system reform on the real estate in China from 3 aspects, the selling points of the high-end communities, future property management and the community elderly care model.

Study on the roles and acting mechanism of the real estate brokerage in China second-hand housing market

As China housing reform deepens, the second-hand housing transactions become more and more popular and real estate brokerages, as an intermediary of the transactions, become an undeniable important part of this market. This article mainly explores the roles and the acting mechanism of real estate brokerages in the second-hand housing market. The results show that the participation of real estate brokers in the second-hand housing market may have positive and negative influences. On one side, brokers ease the housing transaction process and benefits buyers and sellers by shortening the sale time on the market. On the other side, if brokers are the only participants in the housing transaction, acting as buyer and seller like some firms do, housing prices will increase and this negative effect will become even stronger as the participation of many more brokers increases. Therefore, the regulation and management of the industry is vital for the long and healthy development of the housing market in China.

Research on the Impact of Market Concern for Real Estate Policy on Housing Prices: Evidence from Internet Search and Hedonic Price Theory

To avoid the effects of systemic financial risks caused by extreme fluctuations in housing price,the Chinese government has been exploring the most effective policies for regulating the housing market.Measuring the effect of real estate regulation policies has been a challenge for present studies.This study innovatively employs big data technology to obtain Internet search data(ISD)and construct market concern index(MCI)of policy,and hedonic price theory to construct hedonic price index(HPI)based on building area,age,ring number,and other hedonic variables.Then,the impact of market concerns for restrictive policy,monetary policy,fiscal policy,security policy,and administrative supervision policy on housing prices is evaluated.Moreover,compared with the common housing price index,the hedonic price index considers the heterogeneity of houses and could better reflect the changes in housing prices caused by market supply and demand.The results indicate that(1)a long-term interaction relationship exists between housing prices and market concerns for policy(MCP);(2)market concerns for restrictive policy and administrative supervision policy effectively restrain rising housing prices while those for monetary and fiscal policy have the opposite effect.The results could serve as a useful reference for governments aiming to stabilize their real estate markets.

Dynamic Game Research on Multiple Subjects in the Real Estate Market of China

In order to analyze the deep-routed reason for the failure of the real estate market regulation policy, this paper established an incomplete information tri-game model in which central government, local government and the real estate developer were chosen as three main research objects. Based on the analysis of their interest appeals under the assumption of rational economic man, we found that it was the difference of interest appeals of central and local governments as well as the real estate developers that caused the game among the three participants. This, however, led to the failure of the macro-control at last. Strengthening the supervision of central government and reducing its cost at the same time, what’s more, improving the efficiency of the supervision and increasing the punishment of the rent-seeking behavior between local government and the real estate developers will contribute to improve the implementation status of the regulation and control policy. We suggest the authorities improve the government political achievement appraisal system and reform the current system of benefits distribution;moreover, reform the existing regulatory system and strength the regulatory role of media and the third-party so as to promote the healthy development of the real estate market.