Tokenomics: A new opportunity in the Real Estate business? A qualitative approach to crowdfunding and blockchain interaction

First Monday ◽  
2021 ◽  
Author(s):  
Fabio Creta ◽  
Francesca Tenca
Keyword(s):  
Real Estate ◽  
Real Estate Industry ◽  
The Real ◽  
The Real Estate ◽  
Technology Innovations ◽  
Real Estate Sector ◽  
Multiple Case ◽  
Multiple Case Studies ◽  
Alternative Finance ◽  
The Impact

The article discuss how platforms administrators operating within the ecosystem of real estate crowdfunding could implement technology innovations such as blockchains or the use of digital tokens, and list the benefits that could be obtained by real estate sector. We introduce an exploratory analysis of multiple case-studies, consisting of twelve businesses that manage real estate crowdfunding platforms. The information gathered through interviews gives an idea of how the shared opinion of professionals in the trade is identified with factors and variables that impact on the opening of this alternative finance segment towards technology innovations that may bring radical changes to the real estate industry. In terms of implications, this is one of the first studies exploring the adoption of innovative technologies by real estate crowdfunding platforms and, as far as we know, it is the first to analyse the impact of tokenization.

scholarly journals Impacts of digitization on real estate sector jobs

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Daniel Piazolo ◽  
Utku Cem Dogan
Keyword(s):  
Real Estate ◽  
Weighted Average ◽  
Real Estate Market ◽  
Real Estate Industry ◽  
Content Type ◽  
The Real ◽  
The Real Estate ◽  
Employment Agency ◽  
Real Estate Sector ◽  
Substitution Probability

PurposePrevious research on automation and job disruption is only marginally related to the real estate industry and its characteristics. This study investigates the effects of digitization on jobs in German real estate sector, in order to assess the proportion of jobs threatened to be replaced by automation. Since Germany is the largest EU economy insights for the German real estate market allow a first approximation for Europe.Design/methodology/approachAn extensive database of the German Federal Employment Agency containing job definitions and occupation titles is matched with real estate criteria to create a subset with the relevant real estate occupations. This data is combined with a database of the German Institute of Employment Research reflecting to what extent tasks within jobs can be automated by current technical capabilities.FindingsFor the 286 identified occupations within the real estate sector a weighted average of 47 percent substitution probability through current technological capabilities is derived for tasks within the examined occupations.Practical implicationsThis contribution indicates the extent of the structural change the real estate sector has to face due to digitization: One out of two real estate jobs will have to be re-created.Originality/valueThis research quantifies the magnitude of the job killer aspect of digitization in the real estate sector.

scholarly journals The Impact of Property Tax on the Development of Real Estate Industry

2021 ◽  
Vol 4 (3) ◽  
pp. 73-75
Author(s):  
Ruoke Hu ◽  
Fangke Li
Keyword(s):  
Real Estate ◽  
Rapid Development ◽  
Housing Prices ◽  
Property Tax ◽  
Real Estate Industry ◽  
High Property ◽  
The Real ◽  
The Real Estate ◽  
Significant Growth ◽  
The Impact

In recent years, due to the rapid development of the real estate industry in China, land speculation has begun in addition to the significant growth in economy. However, this rapid development has led to an extreme rise in housing prices, largely owing to high property tax. This article analyzed the impact of property tax on the development of real estate industry and provided countermeasures.

scholarly journals Digital Technology And The Real Estate Industry

2019 ◽  
Vol 9 (2) ◽  
Author(s):  
Mohd Lizam
Keyword(s):  
Real Estate ◽  
Business Process ◽  
Digital Technology ◽  
Real Estate Industry ◽  
The Real ◽  
The Real Estate ◽  
Technological Impact ◽  
Start Ups ◽  
The Impact ◽  
Organisational Strategy

This paper briefly summarises the extent of the technological impact on the real estate industry, in particular, digital technology. As real estate industry is naturally characterized by several disadvantages in comparison to other industry, understanding the impact of digital technology is crucial to the industry on whether this technology will distrust the industry or complement the business process. The emergence of PropTech start-ups has made the industry players to re-evaluate its organisational strategy to align the business process to a possible threat to the present business model. Prior studies suggest that PropTech comes in there waves in which each wave is characterized by the respective period advancement in digital technology. Several studies also indicate that digital technology may not entirely disrupt the industry but do have a significant potential to act as a complement to the industry in improving its productivity and efficiency.

scholarly journals Real Estate and the Effects of the COVID-19 Pandemic in Europe

2020 ◽  
Author(s):  
Gianluca Mattarocci ◽  
Simone Roberti
Keyword(s):  
Real Estate ◽  
Commercial Real Estate ◽  
Disposable Income ◽  
Economic Environment ◽  
Site Visit ◽  
Real Estate Industry ◽  
The Real ◽  
The Real Estate ◽  
Building Type ◽  
Real Estate Sector

The real estate industry was severely affected by the COVID-19 in both the residential and the commercial sectors due to travel and site-visit limitations, rent sustainability issues and a decrease or higher uncertainty about disposable income. During the lockdown, houses became more important and were analysed in depth. It can be assumed that a new demand could emerge after this crisis making households looking for more comfortable houses since this asset will increase its importance for living and working. Similarly, the commercial real estate sector will change due to lower rent sustainability. However, the main expected change is related to the building type and the standards requested by tenants in the new economic environment.

scholarly journals Analysis of Urban Residents' Sports Consumption Demand Based on Intercepted Regression Model

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Qing Liu
Keyword(s):  
Real Estate ◽  
Housing Prices ◽  
Real Estate Market ◽  
Survey Method ◽  
Real Estate Industry ◽  
The Real ◽  
The Real Estate ◽  
Real Estate Price ◽  
Real Estate Prices ◽  
The Impact

At this stage, broadening the consumer market, upgrading the consumption system and gradually establishing a consumption-led development concept are key factors in promoting high-quality economic development. At the same time, China's macro economy is also experiencing another test. The rapid development of China's real estate market in recent years has attracted a large number of investors, and real estate prices have produced irrational and substantial increases. Behind the boom of the real estate market is a social system crisis driven by profiteering and the growing seriousness of real estate financial bubble. So exploring the mechanism of the influence of real estate prices on the upgrading of residents' consumption is important for the current stage of China. Therefore, it is important to investigate the mechanism of real estate price impact on consumer upgrading for the coordinated development of real estate industry and national economy. In this paper, we analyze and examine the theory on the consumption improvement by the literature survey method. We also summarize the present research on the correlation and the influence mechanism of the real estate price and the consumption improvement and choose the index which reflects the present state of the real estate industry and the consumption of the inhabitant. Besides the input indicators that qualitatively manage the impact of housing prices on the improvement of residents' consumption, we first use the descriptive statistics method to understand the level of the Chinese real estate market and improve consumer spending. Based on this, the descriptive statistical method is applied to define the current state of China's real estate market and the level of improvement in consumption, and to define the standard for improving consumption in China. On the other hand, based on the spatial and spatial spillover points of view, we use spatial analysis framework combined with exploratory spatial data analysis and GIS to investigate spatial correlation between consumption structure and housing price, and accurately reflect the spatial clustering status of the index by drawing. Moran dispersion plot and Lisa cluster plot, then the spatial Darwinian model, are used to investigate the impact of real estate prices on the increase in occupant consumption from a macro perspective.

A study on the mediating effect of residential loans on total real estate loans of banks in India

2019 ◽  
Vol 37 (5) ◽  
pp. 455-469
Author(s):  
Tanu Aggarwal ◽  
Priya Solomon
Keyword(s):  
Real Estate ◽  
Structural Model ◽  
Mediation Effect ◽  
Content Type ◽  
The Real ◽  
The Real Estate ◽  
Real Estate Sector ◽  
Commercial Loans ◽  
Public And Private Sector ◽  
The Impact

Purpose The purpose of this paper is to examine the impact of residential and commercial loans on total real estate sector loans by using partial least square–structured equation modelling (PL–SEM) method. The residential loans as a mediator have been used to know the mediation effect between commercial and total real estate loans of banks in India. The residential loans as a mediator govern the relationship between commercial loans and total real estate loans in India. Real estate sector development is a lucrative opportunity for India. The real estate sector plays a major role in shaping economic conditions of the individuals, firms and family. Design/methodology/approach The research is descriptive in nature. The study on residential loans, commercial loans and total real estate loans has been taken into consideration, and on the other hand the measurement and structural model have been employed to the study the impact of residential loans and commercial loans on total real estate loans in India by using PL–SEM. The residential loans as a mediator have been taken to study the mediation effect of the relationship between commercial loans and total real estate loans in India. Findings The outcome of the structural model that is bootstrapping technique shows that there is an impact of residential and commercial loans by public and private sector banks on total real estate sector development in India. The residential loans show the full mediation effect between commercial loans and total real estate loans as the value of variation accounted for (VAF) is more than 1.93 which shows residential loans govern the nature of variable between commercial loans and total real estate loans. Practical implications The public and private sector banks are contributing to the real estate sector development in India which increases the economic growth of the country. The mediation analysis shows that residential loans are an important aspect between commercial and total real estate loans in India as the demand for residential housing is more in India. The increasing role of banks in the real estate sector strengthens the financial capability in the real estate sector market, and the property buyers will able to purchase more property which leads to increasing demand for real estate sector. Originality/value The research paper is original, and PL–SEM has been used to find the results.

The impact of Generation Z in the intention to purchase real estate in Kosovo

2019 ◽  
Vol 38 (1) ◽  
pp. 1-24 ◽  
Author(s):  
Visar Hoxha ◽  
Emblema Zeqiraj
Keyword(s):  
Real Estate ◽  
Quantitative Research ◽  
Real Estate Industry ◽  
Content Type ◽  
The Real ◽  
The Real Estate ◽  
Generation Z ◽  
Intention To Purchase ◽  
And Behaviors ◽  
The Impact

Purpose The purpose of this paper is to identify the impact that Generation Z has on the real estate industry of Kosovo. By studying the behaviors and characteristics of Gen Z the stakeholders in the real estate industry can gain advantages and opportunities in getting to comprehend their preferences, their perspective and their decision to buy real estate in Kosovo. Design/methodology/approach The present study used a quantitative research method. For the purpose of this study a questionnaire with close-ended questions is used. The questionnaire used for this study is a self-evaluation and self-administrated questionnaire. The study included 200 people, mainly Albanian speakers who participated in the questionnaire. All participants of the questionnaire were strictly members of Generation Z that were born in the time period of 1995–2012. In this questionnaire the participants were provided with full anonymity, since none of their identity data were requested during this process. Findings The findings of this study indicate that Gen Z and their different characteristics will have an impact on the real estate industry. Research limitations/implications This study can be utilized as a landmark for agents of real estate on understanding how they can use the characteristics and behaviors of Gen Z in their favor, by pointing out the prominence of those characteristics and behaviors in realizing the needs and desires of the potential buyers and the influence they have on the decision to buy property. Furthermore, through this study, the real estate agencies will be provided with multiple reasons that substantiate the necessity to perform the proper research about differences between generations. Originality/value The study is the first quantitative study that studies the linkage between behaviors and characteristics of Generation Z and their intention to purchase real estate.

scholarly journals Nonlinear Influence of Chinese Real Estate Development on Environmental Pollution: New Evidence from Spatial Econometric Model

2022 ◽  
Vol 19 (1) ◽  
pp. 588
Author(s):  
Wenqin Gong ◽  
Yu Kong
Keyword(s):  
Real Estate ◽  
Environmental Pollution ◽  
Econometric Model ◽  
Real Estate Development ◽  
Real Estate Industry ◽  
Spatial Econometric ◽  
The Real ◽  
The Real Estate ◽  
Spatial Econometric Model ◽  
The Impact

Environmental pollution is a problem of universal concern throughout the globe. The development of real estate industry not only consumes huge resources, but also has close ties with high-consumption industries such as the construction industry. However, previous studies have rarely explored the impact of real estate development on environmental pollution. Therefore, this paper employs the entropy method to construct a comprehensive index of environmental pollution based on panel data of 31 provinces in China from 2000 to 2017, and empirically examines the impact of real estate development on environmental pollution. This article uses real estate investment to measure the development of the real estate industry. In view of the high spatial autocorrelation of environmental pollution, this paper selects a spatial econometric model. The empirical study found that: (1) By using the Spatial Durbin Model, real estate development has an inverted U-shaped impact on environmental pollution. Meanwhile, most cities have not yet reached the turning point; that is, with the continuous development of the real estate industry, environmental pollution will continue to increase. (2) Further regional heterogeneity found that the inverted U-shaped relationship still exists in coastal and inland areas. (3) Finally, this article used the Spatial Mediation Model to explain the nonlinear impact of real estate development on environmental pollution, with two important mediating variables: population density and industrial structure. Through the above analysis, it can be observed that real estate development has a significant impact on environmental pollution. Thus, the country and the government can reduce environmental pollution by improving the investment structure, using environmentally friendly building materials, guiding population flow and promoting industrial upgrading.

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