Financing Model Optimization of Lanzhou Yatai Group Real Estate Project

Lanzhou Yatai Group, as the first listed real estate companies, occupies absolute advantage in the competition of the industry. Especially because of Lanzhou National Economic Development District, Yaitai Group focuses Lanzhou new area asthe target of the advantages and great location. With the business development and planning, the company will also create Lanzhou Yaitai Group Technology Headquarters before 2016, and also will be followed by the huge business opportunities in the real estate industry driven by the financial industry, service industry, catering industry, and the education industry as well. At the same time, the asset number of investment companies in the new district has reached about 0.45 billion, so the vast number of these channels also makes traditional financing be in danger. Banking loans, equity financing, debt financing gradually are difficult to enable the company’s rapid development growing so fast. Large-scale funding and financing inefficiencies of some large-scale projects also make the company’s financial operations meeting some obstacles. In this paper, the author will analyze Yatai Group real estate financing process and the traditional financing channels to predict its financing risk prevention and the Group’s real estate funds operating characteristics of the project. At the same time, we put forward the concept and characteristics of the real estate project financing. After financing inefficiencies of Lanzhou Yatai Group from 2011 to 2014, we make the analysis for real estate projects for the company and make a selection and optimization models. But also for the smooth development of real estate projects in Yatai Group, we provided a positive recommendation, which will become healthy and stable developments of the real estate industry in Gansu Province, and the development and construction of new district will be made as a good expectation.

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On the Real Estate Project Cost Management

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.368-373.1323 ◽

2011 ◽

Vol 368-373 ◽

pp. 1323-1326 ◽

Cited By ~ 1

Author(s):

Shu Ru Liu ◽

Min Juan Li

Keyword(s):

Sustainable Development ◽

Real Estate ◽

Cost Management ◽

Real Estate Industry ◽

Project Cost ◽

The Real ◽

The Real Estate ◽

Real Estate Project ◽

Important Means ◽

Capital Intensive

Real estate Industry is capital-intensive. Cost management is very important for real estate. Efficient cost management is one of important means that can ensure sustainable development of the real estate business. Now, we must find out the efficient cost management means according to analysis the importance of the real estate and the problem exist in it.

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Blockchain Technology and Real Estate – a cluster analysis of applications in global markets in the year 2021

SHS Web of Conferences ◽

10.1051/shsconf/202112903027 ◽

2021 ◽

Vol 129 ◽

pp. 03027

Author(s):

Philipp Schmidt ◽

David Elferich

Keyword(s):

Cluster Analysis ◽

Real Estate ◽

Balance Sheet ◽

Value Added ◽

Regional Differentiation ◽

Real Estate Industry ◽

Financial Industry ◽

The Real ◽

The Real Estate ◽

Blockchain Technology

Research background: Since the announcement by entrepreneur Elon Musk in the year 2021 about the inclusion of Bitcoin on the balance sheet of his automotive company Tesla, the economic significance of cryptocurrencies for the financial industry is taking on progressive importance. In addition to the financial economic consideration of cryptocurrencies, the underlying blockchain technology is undergoing a disruptive growth across industries – e.g. from automotive to real estate. Accordingly, in the report ‘Deep Shift Technology Tipping Points and Societal Impact’, the World Economic Forum predicted a far-reaching significance of the blockchain technology as early as 2015, and in 2020, the Global Future Council published a finding that the crypto market has reached a point of inevitability. Purpose of the article: The aim of this paper is to examine the degree of integration of the blockchain technology within the framework of a current market investigation using the real estate industry as an example. The leading application areas of the blockchain technology in the real estate industry will be presented. Methods: The market investigation of this paper is based, among other things, on a cluster analysis that examines a regional differentiation of the application areas on a global level. Findings & Value added: In this context, the market research indicates that the blockchain technology can be applied significantly in the real estate industry and that the Global Future Council finding can be replicated in many areas.

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Selecting the appropriate project delivery method for real estate projects using fuzzy AHP

Journal of Construction Engineering Management & Innovation ◽

10.31462/jcemi.2020.04249263 ◽

2020 ◽

Vol 3 (4) ◽

pp. 249-263

Author(s):

Semra Comu ◽

◽

Zehra Kural ◽

Busra Yucel

Keyword(s):

Real Estate ◽

Fuzzy Ahp ◽

Project Delivery ◽

Real Estate Industry ◽

Delivery Method ◽

Factors Affecting ◽

The Real ◽

The Real Estate ◽

Theoretical Contribution ◽

Real Estate Projects

The real estate industry holds a remarkably significant share in the Turkish economy. Due to the nature ofthe dynamic characteristics of the real estate industry, project achievement is not an easy task. Choosing the appropriate Project Delivery Method (PDM) is significantly crucial, considering that it provides various benefits, including economic contribution and time-saving. This study aims to determine the main factors affecting PDM selection with the most suitable analysis method for real estate projects in Turkey. The PDM types used in the real estate sector and the factors affecting the appropriate PDM selection process are identified based on literature review and interviews with professionals related to the Turkish real estate industry. The model generated is utilized as a tool in choosing the appropriate PDM in real estate projects by using Fuzzy Analytical Hierarchy Process (AHP). In terms of the theoretical contribution to the literature, this study identifies five main factors categorized as i) time-related issues, ii) cost, funding and cash flow related issues, iii) scope related issues, iv) owner organization, risk, and relationship related issues, and vi)project characteristic issues with 13 sub-factors. In addition to the theoretical contribution, a hierarchical model and a Fuzzy AHP based approach to select the appropriate PDM for the real estate projects in Turkey are provided as a practical contribution.

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The Risk Spillover Effects of the Real Estate Industry on the Financial Industry: A GARCH-Time-Varying-Copula-CoVaR Approach on China

SAGE Open ◽

10.1177/21582440211067226 ◽

2021 ◽

Vol 11 (4) ◽

pp. 215824402110672

Author(s):

Yunsong Xu ◽

Hanying Qi ◽

Jiaqi Li ◽

Ning Ding

Keyword(s):

Real Estate ◽

Spillover Effects ◽

Time Varying ◽

Real Estate Industry ◽

Financial Industry ◽

Financial Policies ◽

The Real ◽

The Real Estate ◽

Regulatory Policies ◽

The Government

This paper analyzes the multiple transmission mechanisms of the real estate industry’s risk spillovers to the financial industry. A GARCH-time-varying-copula-CoVaR model is used to measure the spillover effects and dynamic evolution trends of risk in the Chinese real estate industry. The results show that (1) in recent years, the risk spillovers from the real estate industry to the whole financial industry in China has been relatively high, and the possibility of systemic risks has increased. (2) The channel of the risk spillovers of the real estate industry into the financial industry has shifted from being concentrated within a traditional single banking industry to the accumulation and superposition of risk across the banking, securities, trust industries. (3) Current regulations have not fundamentally mitigated the risk spillovers. As such, this paper proposes three suggestions on financial policies and regulations: firstly, the government should reasonably regulate cooperation between the real estate industry and the financial industry, curb excessive speculation and abnormal fluctuations in real estate prices. Secondly, the government should maintain the continuity of regulatory policies, formulate differentiated policies according to the essential attributes of given industries, and eliminate risk contagion among the real estate industry and financial industries. Thirdly, the government should improve the macro prudential management framework.

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