scholarly journals Factors Influencing Large Real Estate Companies’ Competitiveness: A Sustainable Development Perspective

Land ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1239
Author(s):  
Bo Li ◽  
Rita Yi Man Li ◽  
Thitinant Wareewanich
Keyword(s):  
Sustainable Development ◽  
Real Estate ◽  
Structural Equation ◽  
Large Scale ◽  
Real Estate Market ◽  
Brand Names ◽  
Hierarchical Regression ◽  
Real Estate Enterprises ◽  
Intermediary Role ◽  
Major Factors

Strict policy control and real estate market downturn affects large-scale real estate enterprises performance. We surveyed large Chinese real estate enterprises and the internal factors that affect their competitiveness. Verified by the hierarchical regression and structural equation modelling approach, the results mainly show that profitability, capital ability, management and operation ability, human resource ability, brand name, and innovation ability play positive roles in the competitiveness of large real estate enterprises. Management and operation ability plays an intermediary role between human resources and the improvement of competitiveness. Real estate enterprises’ capital sources play an intermediary role between brand names and the improvement of competitiveness. Moreover, landbank area and quality and sales are three major factors that impact the competitiveness improvement of real estate enterprises, while the ability for marketing innovation and the payment collection of enterprises has a relatively small impact. All in all, this paper provides practical implications concerning factors that affect the competitiveness of large real estate enterprises. The findings are helpful to improve the sustainable development of real estate enterprises in the future. As research on factors that affect large-scale real estate enterprises is scarce, this study aims to fill this gap.

scholarly journals Motivation, Dilemma and Countermeasures of Foreign Bond Financing of Real Estate Enterprises?Based on Perspective of Financial Internationalization

2020 ◽  
Vol 3 (5) ◽  
Author(s):  
Yasai Liu
Keyword(s):  
Sustainable Development ◽  
Real Estate ◽  
Real Estate Market ◽  
Financing System ◽  
Real Estate Enterprises ◽  
Financing Channels ◽  
Financing Costs ◽  
Financial Internationalization ◽  
The Cost

Several real estate enterprises in China (hereinafter referred to as housing enterprises) rely on overseas financing to meet their financing needs, but it is fraught with challenges such as high financing costs. Premised on the internationalization of finance, combined with the background of "staying and not speculating" and establishing a long-term mechanism for real estate market, based on the investigation of the financing motives of real estate enterprises, combined with a large amount of data, the present study examines the current situation and predicament of overseas financing of housing enterprises. It proposes four feasible countermeasures to promote sustainable development of real estate enterprises overseas financing including building a special financing system to reduce the cost, expanding various financing channels, strengthening the supervision of overseas bond financing, and reducing the loss devaluation of RMB internally and externally.

scholarly journals An Assessment of the Functioning of Shopping Centres in Central‑Eastern Europe on the Example of “Posnania Mall” in Poznań (Poland) and “Grand Mall” in Varna

2021 ◽  
Vol 15 (3) ◽  
pp. 99-113
Author(s):  
Sławomir Palicki ◽  
Stoyan Stoyanov ◽  
Ivo Kostov ◽  
Tsvetelina Atanasova ◽  
Patrycjusz Ostrowski
Keyword(s):  
Real Estate ◽  
Large Scale ◽  
Local Development ◽  
Real Estate Market ◽  
The European Union ◽  
Market Reactions ◽  
Shopping Centre ◽  
Shopping Centres ◽  
Central Eastern ◽  
The Impact

The article explores the issue of the function of shopping centres, in particular the analysis of the impact of their presence on society and the local development of cities and regions. Regarding the empirical aspect, the examples of Poznań (Poland) and Varna (Bulgaria) will be presented. As a result of similar socio‑economic conditions and joining the European Union at almost the same moment, all comparative studies reflecting preferences and market reactions seem both viable and interesting. In addition, the two cities chosen for the studies occupy a similar place in the hierarchy of the settlement network in their countries. They are large, well‑developed centres that attract the attention of investors from various segments of the real estate market. The research is part of the modelling of preferences of shopping centre customers areas, which in particular supports the investment decisions of developers operating in the analysed real estate market, and at the same time permits a diagnosis of social satisfaction. A derivative of the research is also the reconstruction of the effects of the functioning of large‑scale shopping malls in two Central‑Eastern European countries.

scholarly journals Cap rates and risk: a spatial analysis of commercial real estate

2018 ◽  
Vol 35 (1) ◽  
pp. 25-43
Author(s):  
Florian Unbehaun ◽  
Franz Fuerst
Keyword(s):  
Real Estate ◽  
Risk Perceptions ◽  
Large Scale ◽  
Risk Premia ◽  
Real Estate Market ◽  
Commercial Real Estate ◽  
Data Series ◽  
Large Set ◽  
Content Type ◽  
The Impact

Purpose This study aims to assess the impact of location on capitalization rates and risk premia. Design/methodology/approach Using a transaction-based data series for the five largest office markets in Germany from 2005 to 2015, regression analysis is performed to account for a large set of asset-level drivers such as location, age and size and time-varying macro-level drivers. Findings Location is found to be a key determinant of cap rates and risk premia. CBD locations are found to attract lower cap rates and lower risk premia in three of the five largest markets in Germany. Interestingly, this effect is not found in the non-CBD locations of these markets, suggesting that the lower perceived risk associated with these large markets is restricted to a relatively small area within these markets that are reputed to be safe investments. Research limitations/implications The findings imply that investors view properties in peripheral urban locations as imperfect substitutes for CBD properties. Further analysis also shows that these risk premia are not uniformly applied across real estate asset types. The CBD risk effect is particularly pronounced for office and retail assets, apparently considered “prime” investments within the central locations. Originality/value This is one of the first empirical studies of the risk implications of peripheral commercial real estate locations. It is also one of the first large-scale cap rate analyses of the German commercial real estate market. The results demonstrate that risk perceptions of investors have a distinct spatial dimension.

Problems and Countermeasures for our Country’s Sustainable Development of Real Estate Economy

2014 ◽  
Vol 1030-1032 ◽  
pp. 2597-2600
Author(s):  
Wei Xu ◽  
Xin Xiong
Keyword(s):  
Sustainable Development ◽  
Real Estate ◽  
National Policy ◽  
Compressive Force ◽  
Real Estate Market ◽  
Current Status ◽  
Real Estate Industry ◽  
The Real Estate ◽  
Depth Analysis ◽  
The Real Estate Market

In 2010 to 2013 the national macro-control policies on the real estate market has a strong compressive force, although the development of China's real estate investment market continued to grow still present, but under the influence of regulation just to be national policy, the growth momentum has slowed . In this paper, based on the current status of the domestic real estate industry, in line with the theoretical basis of sustainable development, in-depth analysis of the domestic real estate industry problems encountered in the development process, made some suggestions and solutions for sustainable development

scholarly journals The Development of Housing Sector and Residential Real Estate Market After Economic Recession in Latvia

2015 ◽  
Vol 3 (1) ◽  
pp. 103-119 ◽  
Author(s):  
Sanda Geipele ◽  
Armands Auziņš
Keyword(s):  
Sustainable Development ◽  
Real Estate ◽  
Institutional Environment ◽  
Economic Recession ◽  
Real Estate Market ◽  
Housing Sector ◽  
Residential Real Estate ◽  
The Public ◽  
Efficient Management ◽  
Recession Period

Abstract The study is concerned with an examination of resource distribution in order to promote sustainable development of housing sector in the context of evolving residential real estate market after the economic recession period in Latvia. The statistical and comparative analysis methods have mainly been applied in the study, and the recommendations on the implementation of conceptual solutions for promoting the efficient management of housing sector according to the public needs have been provided. The findings of the study may significantly contribute when improving the housing policy and appropriate institutional environment in Latvia.

scholarly journals Valuation methods for the housing market: Evidence from Budapest

2016 ◽  
Vol 66 (3) ◽  
pp. 527-546 ◽  
Author(s):  
Dávid Kutasi ◽  
Milán Csaba Badics
Keyword(s):  
Neural Network ◽  
Real Estate ◽  
Large Scale ◽  
Housing Prices ◽  
Market Price ◽  
Housing Price ◽  
Real Estate Market ◽  
Hedonic Regression ◽  
Valuation Methods ◽  
Valuation Method

Different valuation methods and determinants of housing prices in Budapest, Hungary are examined in this paper in order to describe price drivers by using an asking price dataset. The hedonic regression analysis and the valuation method of the artificial neural network are utilised and compared using both technical and spatial variables. In our analyses, we conclude that according to our sample from the Budapest real estate market, the Multi-Layer Preceptron (MLP) neural network is a better alternative for market price prediction than hedonic regression in all observed cases. To our knowledge, the estimation of housing price drivers based on a large-scale sample has never been explored before in Budapest or any other city in Hungary in detail; moreover, it is one of the first papers in this topic in the CEE region. The results of this paper lead to promising directions for the development of Hungarian real estate price statistics.

scholarly journals Interrelation of Large-Scale Property Development Project and the Local Real Estate Market. Evidence from Hungary

2019 ◽  
Vol 13 (1-2) ◽  
pp. 37-46
Author(s):  
Csaba Tóth
Keyword(s):  
Real Estate ◽  
Large Scale ◽  
Significant Degree ◽  
Real Estate Market ◽  
Development Project ◽  
Jel Classification ◽  
Residential Property ◽  
Property Market ◽  
Property Development ◽  
Building Project

The Hungarian real estate market has gone through a widely fluctuating phase in the new millennium, which has not missed periods of surge, crisis-driven gloom and recovery. Amidst these conditions, an international developer engaged in a large-scale, long-timeframe residential property building project (Sasad Liget Residential Complex) in District XI of the Hungarian capital. The article examines the exposures and impacts of the development project to the external factors. The deployed quantitative statistical methods reveal that despite the considerable weight of the project, the in-market performance of SLRC has been the function of the general swings of the sector. Further, although the project generated higher demand than the bulk of other properties in the vicinity, its weight has not been enough to impact the property market of District XI at a statistically significant degree. JEL Classification: E31, R31

scholarly journals Assessment and improvement of the Moscow residential real estate market's environmental friendliness by sharing economy principles

2020 ◽  
Vol 210 ◽  
pp. 13040
Author(s):  
Anna Schmeleva
Keyword(s):  
Real Estate ◽  
Large Scale ◽  
Sharing Economy ◽  
Real Estate Market ◽  
Environmental Risks ◽  
Economic Systems ◽  
Distributed Resources ◽  
Environmental Friendliness ◽  
The Public ◽  
Production And Consumption

Sharing economy platforms transform traditional production and consumption systems in cities around the world. While the sharing economy aims to increase the resilience of different economic systems, its actual economic, social, and environmental effects remain under-researched. During the pandemic of Covid-19, economic and environmental crises, and growing uncertainty, it becomes essential to promote sustainable and promising forms of shared (distributed) resources. Ways to benefit from the sharing economy's advantages, despite the significant number of Russian and foreign publications, are still poorly understood. At present, it is crucial to explore the roles, perspectives, and effects of both resource owners and users and Russian interaction platforms. Let us look at this sharing economy's development aspect on the example of the Moscow real estate market, taking into account the environmental impact of the large-scale housing renovation program. There have been identified some digital environmental IT platforms aimed at improving the efficiency of transfer and use of information resources (the main principle of sharing – to improve the efficiency of resources and information, in this case - environmental) on the environmental situation in Moscow and the region to inform the public about the opportunities and the primary environmental risks in housing purchase or construction.

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