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.

scholarly journals Research on the Influence of Real Estate Development on Private Investment: A Case Study of China

2018 ◽  
Vol 10 (8) ◽  
pp. 2659 ◽  
Author(s):  
Jiangtao Li ◽  
Jianyue Ji ◽  
Huiwen Guo ◽  
Lei Chen
Keyword(s):  
Real Estate ◽  
Generalized Method Of Moments ◽  
Private Investment ◽  
Medium Size ◽  
Real Estate Development ◽  
Real Economy ◽  
Real Estate Industry ◽  
The Real ◽  
The Real Estate ◽  
Investment In China

Private investment in China, as a developing country, is an important source of financing for Chinese SMEs (Small and Medium-Size Enterprises) and has played a major role in the development of the real economy. However, in 2016, the growth rate of private investment in China dropped from 10.18% to 3.17%, which had a significant impact on the real economy. At the same time, China’s real estate market has developed rapidly, attracting a large number of capital inflows. The relationship between real estate development and private investment in China is worth considering. This study first, theoretically analyzes the influence mechanism of real estate industry on private investment, pointing out that within a modest development range, the development of real estate industry can promote private investment through the industrial linkage, urbanization, and balance sheet effects, but when real estate is overdeveloped, it has an inhibitory effect on private investment through vampire effect, raising costs and reducing demand effect. In other words, real estate has different effects on private investment in different developmental periods. Therefore, there is a non-linear relationship between the two variables. Second, the relevant provincial panel data of 31 provinces in mainland China from 2003 to 2015 were selected. Using the dynamic panel system Generalized Method of Moments (GMM), this study estimated the correlation between real estate development and private investment. The empirical results showed that the development of the real estate industry has a significant impact on the level of private investment; the two showing an “inverted U-shaped” relationship. At present, in some provinces in China, the real estate industry has exceeded the inverted U-shaped threshold. To boost the vitality of private investment in promoting real economic growth, the development of the real estate industry should be restricted, and house prices should be properly regulated.

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 Dynamic Decision Model of Real Estate Investment Portfolio Based on Wireless Network Communication and Ant Colony Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Ming Li ◽  
Yousong Wu
Keyword(s):  
Real Estate ◽  
National Economy ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Real Estate Development ◽  
Real Estate Industry ◽  
Real Estate Investment ◽  
The Real ◽  
The Real Estate ◽  
Investment Portfolios

From reform and opening to the comprehensive construction of a well-off society, the rapid growth of the national economy and the advancement of urbanization have promoted the rapid development of China’s real estate industry. The real estate industry has become a pillar growth point in the development of the national economy. At the same time, China’s real estate markets also continue to mature. However, due to the short development time of my country’s real estate market, imperfect management mechanism, irregular organization, and other issues, coupled with the fierce competition and internationalization of the market investment environment, the risk of investment accumulation in the real estate industry is also increasing. Therefore, in real estate investment decision-making, it is of far-reaching significance to study how to control real estate investment risks and promote the healthy and stable development of the real estate industry. The purpose of this article is to build a set of investment portfolios based on the ant colony algorithm to diversify risks and obtain returns, so that the constructed investment portfolios will minimize the risk when the return reaches a certain amount of time. This article first gives a general introduction to wireless network communication and then analyzes the risk of real estate project investment. First, the variance is used as a measure of risk to establish a dynamic model of the real estate development project portfolio, and the ant colony algorithm is introduced to the investment risk of real estate development projects. In the dynamic analysis, an improved portfolio model was established, and the two were compared through case analysis. The experimental results show that under the condition of the same net present value and investment payback period, the ant colony algorithm based on variance is invested in lot H. The ratio is obviously higher, and the capital investment ratio of lot H based on the ant colony algorithm is obviously lower. The difference between the two is 30.1%.

The Real Estate Development Industry

2012 ◽  
pp. 721-738
Author(s):  
Igal Charney
Keyword(s):  
Urban Planning ◽  
Real Estate ◽  
Development Process ◽  
Real Estate Development ◽  
Real Estate Industry ◽  
Cultural Issues ◽  
The Real ◽  
The Real Estate ◽  
The Core ◽  
Important Position

This article provides an overview of the real estate development industry and evaluates its connection to urban planning. It reviews principal approaches used to study the real estate industry and explains the concept of development rhythms that encapsulate the unevenness of development over time. The article explains that the real estate development industry has not come to occupy an important position in urban planning because of the preference of urban scholars for social, political, and cultural issues. It also examines the workings of the core agents in the development process, real estate developers.

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.

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.

Analysis of Development of Real Estate Industry Based on FA and CA

2013 ◽  
Vol 397-400 ◽  
pp. 2731-2734
Author(s):  
Xiao Chun Shi ◽  
Deng Ying Jiang
Keyword(s):  
Real Estate ◽  
Real Estate Development ◽  
Real Estate Industry ◽  
Residential Housing ◽  
The Real ◽  
The Real Estate ◽  
Development Status ◽  
The Index System ◽  
And Cluster Analysis ◽  
Pillar Industry

With the development of market economy, the real estate industry has become a driving force of the pillar industry of China's economic growth. The residential housing casing is used to construct the index system of real estate development. And on the combination of factor analysis and cluster analysis, this paper studies the real estate development status of China with the SPSS. By extracting three main factors that affect the development of residential housing industry, and with the factor score, the real estate development status of the 31 provinces and cities nationwide are classified and sorted. Last the causes and results of the classification are analyzed, and some targeted countermeasures are proposed.

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