The Development Tendency of the Real Estate Industry under China’s Economic “New Normal”

2016 ◽  
Vol 04 (01) ◽  
pp. 1650003 ◽  
Author(s):  
Yeqiang WANG
Keyword(s):  
Real Estate ◽  
Debt Crisis ◽  
Real Estate Market ◽  
Real Estate Industry ◽  
Development Mode ◽  
New Normal ◽  
The Real ◽  
The Real Estate ◽  
Macroeconomic Control ◽  
Development Tendency

Under the economic “new normal”, the real estate industry experiences a transition from seller’s market to buyer’s market; the construction of indemnificatory housing becomes the main approach of macroeconomic control; the source of real estate funds turns from single credit to diverse financing; the mechanism of macro control gradually becomes market-oriented and the development mode gradually turns pluralistic. At the same time, the real estate industry is facing challenges from local debt crisis, tax reformation, online businesses and transformation of production mode. However, this paper proposes that there’s no fundamental alternation in the basic aspects of macroeconomy that supports China’s real estate development, and the “new normal” of China’s real estate market should be led by reformation and innovation.

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 Research and Analysis of a Real Estate Virtual E-Commerce Model Based on Big Data Under the Background of COVID-19

2021 ◽  
Vol 33 (6) ◽  
pp. 1-16
Author(s):  
Delong Zhu
Keyword(s):  
Big Data ◽  
Real Estate ◽  
Virtual Communities ◽  
Rapid Development ◽  
Real Estate Market ◽  
The Internet ◽  
Real Estate Industry ◽  
The Real ◽  
The Real Estate ◽  
Model Based

The sudden attack of the new crown virus in 2020 has brought an unprecedented impact on the real estate market economy and has completely disrupted people's work and life rhythm! With the rapid development of the Internet, the Internet has penetrated into all aspects of people's lives. As soon as e-commerce was introduced, it was loved by the majority of young people and brought tremendous changes to people's lives. Based on this, this paper studies a real estate virtual e-commerce model based on big data. In the study of this model, this paper combines the advantages of e-commerce and virtual communities to design a more effective virtual e-commerce model. The analysis of e-commerce and virtual communities shows that the virtual e-commerce model designed in this paper is a more effective model, and the real estate virtual e-commerce model based on big data technology can serve the real estate industry. Do a good job in the sales reform of the real estate industry.

Mobiler Immobilienmarkt? Finanzmarkt und Immobilienökonomie

2004 ◽  
Vol 48 (1) ◽  
Author(s):  
Susanne Heeg
Keyword(s):  
Real Estate ◽  
Financial Market ◽  
Real Estate Market ◽  
Real Estate Industry ◽  
Fundamental Change ◽  
The Real ◽  
The Real Estate ◽  
Financial Deregulation ◽  
Starting Point ◽  
The Real Estate Market

Mobilization of the real estate market? Financial market and real estate economy. Since the late 1980s the real estate industry in Germany is transforming from a locally embedded industry towards an internationally oriented one. In this article it is asked how this fundamental change was possible and how the internationalisation is taking place and is coordinated. A starting point of the internationalisation is the deregulation of the national financial system which resulted in a mobilisation and professionalisation of real estate agents. After describing the changes in the politicoinstitutional embedding of the real estate market, the restructuring of networks and its effects upon spatio-economic patterns is analysed. By dividing the real estate market in an user, land, developer and investment market it is possible to show different degrees of internationalisation in the markets and the interdependency of the different market agents upon each other. It is claimed that the financial deregulation is a central motor in transforming the spatial orientation of the agents.

scholarly journals Research and analysis of real estate virtual e-commerce model based on big data under the background of the COVID-19

2021 ◽  
Vol 33 (6) ◽  
pp. 0-0
Keyword(s):  
Big Data ◽  
Real Estate ◽  
Virtual Communities ◽  
Rapid Development ◽  
Real Estate Market ◽  
The Internet ◽  
Real Estate Industry ◽  
The Real ◽  
The Real Estate ◽  
Model Based

The sudden attack of the new crown virus in 2020 has brought an unprecedented impact on the real estate market economy and has completely disrupted people's work and life rhythm! With the rapid development of the Internet, the Internet has penetrated into all aspects of people's lives. As soon as e-commerce was introduced, it was loved by the majority of young people and brought tremendous changes to people's lives. Based on this, this paper studies a real estate virtual e-commerce model based on big data. In the study of this model, this paper combines the advantages of e-commerce and virtual communities to design a more effective virtual e-commerce model. The analysis of e-commerce and virtual communities shows that the virtual e-commerce model designed in this paper is a more effective model, and the real estate virtual e-commerce model based on big data technology can serve the real estate industry. Do a good job in the sales reform of the real estate industry.

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.

“I Am Not Co-op!”: The Struggle over Middle-Class Housing in 1970s New York

2017 ◽  
Vol 43 (6) ◽  
pp. 864-885 ◽  
Author(s):  
Benjamin Holtzman
Keyword(s):  
New York ◽  
Real Estate ◽  
Rental Housing ◽  
Real Estate Market ◽  
Real Estate Industry ◽  
Middle Income ◽  
The Real ◽  
The Real Estate ◽  
The Real Estate Market ◽  
The City

In 1970s New York, landlords and major real estate associations argued that New York could stem the exodus of middle-income residents by creating greater opportunities for homeownership in a city that had long been dominated overwhelmingly by renters. They proposed converting middle-income rental housing into cooperatives, a process that would also enable former landlords to profit handsomely. Tenants, however, widely rejected apartment ownership, preferring the security of rent-regulated housing. This article traces the ensuing struggles between tenants, the real estate industry, and city officials over the nature of moderate- and middle-income housing in New York. The eventual success of the real estate industry enabled cooperative conversions to expand dramatically in the 1980s, but only by bargaining with tenants and activists, offering tenants noneviction plans, and discounting prices. This process helped to transform the city by underwriting a momentous turnaround in the real estate market, while signaling a larger embrace of market deregulation.

Die Macht der Zahlen

2015 ◽  
Vol 59 (1) ◽  
Author(s):  
Nadine Bitterer ◽  
Susanne Heeg
Keyword(s):  
Real Estate ◽  
Real Estate Market ◽  
Real Estate Industry ◽  
Property Market ◽  
Real Estate Markets ◽  
The Real ◽  
The Real Estate ◽  
Local Characteristics ◽  
The Real Estate Market ◽  
Calculative Practices

The power of figures. Calculative practices in the real estate industry. This article examines the role and importance of calculative practices in the process of establishing a global property market. We argue that these practices have contributed to the transformation of the property market into a calculable relation which makes it possible to perceive and assess the real estate market and its objects internationally. Comparability - which includes the transformation of social, political and economic conditions into numbers - has created the context in which investment decisions take place because they suggest transparency and calculability. These practices are created and shared in a network of global real estate professionals and go along with strategies of territorializing and delineating markets. Yet, as we will argue, some local characteristics prove to be persistent and difficult to handle in global calculations. Thus, assessing global real estate markets still implies the challenge to combine local knowledge and global calculation.

Sign in / Sign up

Export Citation Format

Share Document