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.

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.

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.

Prioritizing real estate enterprises based on credit risk assessment:an integrated multi‑criteria group decision support framework

Credit risk assessment involves conducting a fair review and evaluation of an assessed subject’s solvency and creditworthiness.In the context of real estate enterprises,credit risk assessment provides a basis for banks and other financial institutions to choose suitable investment objects.Additionally,it encourages real estate enterprises to abide by market norms and provide reliable information for the standardized management of the real estate industry.However,Chinese real estate companies are hesitant to disclose their actual operating data due to privacy concerns,making subjective evalu-ation approaches inevitable,occupying important roles in accomplishing Chinese real estate enterprise credit risk assessment tasks.To improve the normative and reliability of credit risk assessment for Chinese real estate enterprises,this study proposes an integrated multi-criteria group decision-making approach.First,a credit risk assessment index for Chinese real estate enterprises is established.Then,the proposed framework combines proportional hesitant fuzzy linguistic term sets and preference ranking organization method for enrichment evaluation II methods.This approach is suitable for processing large amounts of data with high uncertainty,which is often the case in credit risk assessment tasks of Chinese real estate enterprises involving massive subjec-tive evaluation information.Finally,the proposed model is validated through a case study accompanied by sensitivity and comparative analyses to verify its rationality and feasibility.This study contributes to the research on credit assessment for Chinese real estate enterprises and provides a revised paradigm for real estate enterprise credit risk assessment.

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.

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.

A Review of Domestic and Foreign Research on Real Estate Financial Management

With the tightening of house purchase policies in recent years, the introduction of financial and land restriction policies, as well as the impact of the COVID-19 pandemic, real estate bombshells are common. Real estate is in the critical stage of transformation and upgrading, and industrial development is facing dire challenges and pressure for survival. As an important part of enterprise management, financial management is directly related to the success or failure of enterprise development. Facing the financial risks emerging in the financial management of the real estate industry at this stage, this review begins from financial management personnel training, investment calculation management, budget management, and asset management in the effort of optimizing the real estate financial management operating mechanism under the new situation and ensuring the healthy and stable development of real estate enterprises, while maintaining core competitiveness.

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.

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.

Cyclical fluctuations of real estate investment across regions in urban China

Taking the concrete conditions of each region into full consideration, the Chinese real estate market is divided into an eastern market, a central market and a western market. For each market, the autoregressive integrated moving average （ARMA） model is established and spectral analysis is carded out to better understand the changes in the real estate markets in each region. The results show the investment levels and several kinds of cycles within each market. The level of real estate investment （LREI）in the eastern region is the higiaest, and the short cycle of investment is about 4 to 5 years; the LREI in the central region is in the middle, and the short cycle of investment is about 2 to 3 years; the LREI in the western region has been rapidly increasing in recent years, and the short cycle of investment is about 4 to 5 years. Real estate investment in each area has reached a peak and completed a middle-cycle movement after a period of sustained recession and an upsurge process, which has taken about 9 to 10 years.

China's Real Estate Market: Performance and Prospects

Great changes have taken place in China＇s real estate market during the 12th Five-year Plan period. The real estate market has shifted from being undersupplied to having an equilibrium of supply and demand with regional oversupply. Real estate risks in some cities have begun to emerge, but overall real estate risks remain controllable. Given the major changes taking place in the supply and demand of China＇s real estate market and the current stage of its development, it is projected that China＇s real estate investment growth will continue to slow down during the 13th Five-year Plan period and pressures on the renovation of inventory housing will intensify. According to the changes in the development of China＇s current real estate market, the objectives of real estate development will be adjusted to put a higher premium on the development level, the quality of real estate development, and the improvement of housing conditions. Reform and policy adjustments should be carried out to effectively prevent real estate market risks and to achieve stable operations inside the real estate market itself.

An Intelligent Recommendation System for Real Estate Commodity

Most real estate agents develop new objects by visiting unfamiliar clients, distributing leaflets, or browsing other real estate trading website platforms,whereas consumers often rely on websites to search and compare prices when purchasing real property. In addition to being time consuming, this search processrenders it difficult for agents and consumers to understand the status changes ofobjects. In this study, Python is used to write web crawler and image recognitionprograms to capture object information from the web pages of real estate agents;perform data screening, arranging, and cleaning;compare the text of real estateobject information;as well as integrate and use the convolutional neural networkof a deep learning algorithm to implement image recognition. In this study, dataare acquired from two business-to-consumer real estate agency networks, i.e., theSinyi real estate agent and the Yungching real estate agent, and one consumer-toconsumer real estate agency platform, i.e., the, FiveNineOne real estate agent. Theresults indicate that text mining can reveal the similarities and differences betweenthe objects, list the number of days that the object has been available for sale onthe website, and provide the price fluctuations and fluctuation times during thesales period. In addition, 213,325 object amplification images are used as a database for training using deep learning algorithms, and the maximum image recognition accuracy achieved is 95%. The dynamic recommendation system for realestate objects constructed by combining text mining and image recognition systems enables developers in the real estate industry to understand the differencesbetween their commodities and other businesses in approximately 2 min, as wellas rapidly determine developable objects via comparison results provided by thesystem. Meanwhile, consumers require less time in searching and comparingprices after they have understood the commodity dynamic information, therebyallowing them to use the most efficient approach to purchase real estate objectsof their interest.

Enhancing the Efficiency of the Management of Real Estate Companies through Organizational Structures

The article represents research on ways to make the management of real estate companies more efficient, starting from their structural organization. The organizational structure of the enterprise is a basic component of the general structure of the company and reflects the “anatomy of the enterprise” and the way of its conception, detailing, and implementation directly influence the activities required to achieve the objectives of the enterprise. On closer examination of a series of organizational charts of real estate management companies, the author observed a tendency to use organizational structures that are inefficient. The main objectives of this article are to bring into the practice of real estate management a model of beneficial organizational structure, both for the real estate management companies and for the construction companies that, besides the building activity, also deal with the management of their own real estate, and to emphasize the particular importance of the organizational structure of the company. The appreciation of the organizational structure represents the process of knowledge, understanding, and explanation of the existing situation through a detailed analysis of the factors that influence its condition through: the enterprise development strategy;the type and complexity of services;the size of the enterprise;the quality of human resources;the changes that take place in the external environment of the company, and last but not least, the legal framework and the statutes of the enterprise.

The Applicability of the Maximum Global Utility Method in the Activity of the Real Estate Consulting Service

The real estate sector is vital for ensuring human needs for living and activity. This fact conditioned the formation of a legal, normative and methodological framework specific to real estate, but also the investment attractiveness of the field. Thus, the real estate consultant often solves technical, economic, legal, organizational problems, but the biggest responsibility rests with investment consulting. The applied methodologies, focused on evaluating the efficiency of investments, are not sufficient to propose to the investor a reasoned conclusion regarding the investment priority. In this article, the authors propose a useful tool for real estate consultants in order to reason the decision regarding the investment of funds in commercial real estate for the purpose of renting it out—the Maximum Global Utility (MGU) method. It is proposed to include in the analysis and the way of calculating the indicator “importance level of the real estate” which reflects the criterion of the best use. This indicator ensures the flexibility of the decision depending on the quality characteristics of the real estate.

Real Estate Evaluation in Germany

The real estate market is at risk to produce economic bubbles, which produce heavy financial losses while bursting. To flatten these bubbles, Germany tried since the 1960s a way of thorough analysis and high transparency of the real estate market as a public task. The experts from different professions in the local market effectively are included in a honorary form. The competition between the experts and also between the experts and the public institution is intentionally maintained.

Research on Rural Collective Land Ownership Confirmation Based on Unified Registration of Real Estate

Rural collective land ownership registration is a basic work to safeguard farmers＇ land rights and interests, and promote rural reform and development, which involves the vital interests of the peasants, and has great influence on the rural economic and social development. However, there are many problems in rural col- lective land ownership registration and certification, such as unclear rural land own- ership subject and nature; not unified understanding of registration, no high enthusi- asm of the grass-roots work; prominent registration policy contradictions, serious shortage of investment, which seriously affect the rural land ownership registration work. In order to solve these problems, some suggestions are put forward on pro- moting the rural land ownership registration work smoothly.

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.

Real Estate Management via a Decentralized Blockchain Platform

Blockchain technology is one of the key technological breakthroughs of the last decade.It has the ability to revolutionize numerous aspects of society,including financial systems,healthcare,e-government and many others.One such area that is able to reap the benefits of blockchain technology is the real estate industry.Like many other industries,real estate faces major administrative problems such as high transaction fees,a lack of transparency,fraud and the effects of a middleman including undue influence and commissions.Blockchain enables supporting technologies to overcome the obstacles inherent within the real estate investment market.These technologies include smart contracts,immutable record management and time-stamped storage.We utilize these key properties of blockchain technology in our work by proposing a system that has the ability to record real estate transactions in a private blockchain,using smart contracts.The immutability of the blockchain ledger and transactions can provide a safe space for the real estate business.Blockchain technology can also assist the authentication process by hastening background checks.Personal digital keys are provided to parties that are involved in a contract,thus minimizing the risk of fraud.We also discuss the rationale behind the advantages of using a blockchain in this manner,and how we selected the consensus mechanism for our proposed system.

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.

Process-oriented organizational structure and its application in real estate development enterprises in China

This paper analyzes the shortcomings of the current organizational structure of real estate development enterprises in China. Integrating the idea of Business Process Reengineering （BPR） with organizational reformation, the authors bring out a process-orlented organizational structure. A further study on the application of process-oriented organizational structure in real estate development enterprises is carried out in a test case. Using residence-development process as an example, the authors illustrate the composition and operation of the business process system of real estate development enterprises.