scholarly journals Reflecting the Sustainability Dimensions on the Residential Real Estate Prices

2021 ◽  
Vol 13 (5) ◽  
pp. 2963
Author(s):  
Marilena Mironiuc ◽  
Elena Ionașcu ◽  
Maria Carmen Huian ◽  
Alina Țaran
Keyword(s):  
Sustainable Development ◽  
Real Estate ◽  
Institutional Environment ◽  
Real Estate Market ◽  
Residential Property ◽  
Bottom Line ◽  
The Sustainable Development ◽  
Real Estate Markets ◽  
Four Dimensions ◽  
Property Prices

The paper analyzes the reaction of residential property prices to sustainability attributes and the extent to which they capitalize the effects of sustainability on real estate markets in EU-28 countries in the period 2000–2018. Given that the sustainable real estate market is mainly driven by demand, the sustainability attributes included in the study reflect both buyers’ expectations and their investment potential in sustainable residential properties, and developers’ efforts to become more “sustainable” through responsible property investment. In order to correspond to the current meaning of sustainable development, the variables capture the four dimensions that give content to the concept of the quadruple bottom line: economic, social, environmental and institutional. Using panel data and the two-stage least squares (2SLS) method, the research reveals a pronounced sensitivity of residential property prices to all sustainability dimensions in countries considered leaders in implementing the Sustainable Development Goals (SDGs), characterized by a strong institutional environment, and efficient and transparent real estate markets. In countries less committed to SGD implementation, weak governance and higher corruption negatively affect the transparency of real estate markets, and the dynamics of the price of residential transactions are determined only by the economic and social dimensions of sustainability.

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 An Attempt to Identify Social – Economic Factors in the Levels Of Property Prices in Chosen Cities in Poland

2018 ◽  
Vol 26 (3) ◽  
pp. 93-104
Author(s):  
Sebastian Kokot
Keyword(s):  
Real Estate ◽  
House Prices ◽  
Real Estate Market ◽  
Special Importance ◽  
Real Estate Markets ◽  
The Real Estate ◽  
Property Prices ◽  
The Social ◽  
Average Unit ◽  
Potential Factors

Abstract Property prices vary on different local real estate markets. Even considering only the largest cities, great disproportions between average unit prices can easily be observed. This problem involves all segments of the real estate market, yet, because of the social & economic importance of housing properties, it takes on special importance on the apartment market. In Warsaw - the capital of Poland and the largest Polish city - prices exceed PLN 10,000 per 1m2 in the best locations and the average price at the end of 2016 in the entire city came to over PLN 7,500 per 1m2. At the sme time, however, average prices in other agglomerations, such as Łódź or Katowice, were equal to approx. PLN 3,500 per 1m2. It is only natural to ask what factors, especially social & economic, contribute to such considerable differences in house prices. This article addresses a group of potential factors underlying the prices of apartments, which have been studied statistically in correlation with average unit prices of apartments in chosen cities.

scholarly journals A DYNAMIC RELATIONSHIP BETWEEN CONSUMER CONFIDENCE AND RESIDENTIAL PROPERTY PRICE: EMPIRICAL EVIDENCE FOR MALAYSIA

2021 ◽  
Vol 11 (1) ◽  
pp. 16-34
Author(s):  
Nur Hafizah Ismail ◽  
Sabri Nayan
Keyword(s):  
Real Estate ◽  
Real Estate Market ◽  
Consumer Confidence ◽  
Residential Property ◽  
The Real ◽  
The Real Estate ◽  
Property Prices ◽  
The Real Estate Market ◽  
Property Price ◽  
Housing Industry

In recent years, the real estate market has become a major interest for economists and researchers. In general, property prices are influenced by the supply and demand of the real estate market. In addition to the individual's positive expectation of the real estate market would raise the demand for housing and hence, house price indexes would increase. This study provides new knowledge on how consumer confidence in the housing industry affects residential property prices in Malaysia. Previous studies on the effect of consumer perception towards residential property in Malaysia are scarce. Therefore, the objective of this study is to determine how consumer confidence affect residential property price in Malaysia. Our study differs by focusing on the effect of consumer confidence on the housing industry and macroeconomic drivers toward residential property prices in Malaysia over the period 2004:Q1 to 2018:Q4. By using the autoregressive distributed lag (ARDL) test, the empirical results have shown the presence of long-run adjustment and indicate that consumer confidence towards the housing industry and many macroeconomic variables significantly affect residential property prices. From this finding, we have suggested that government and policymakers should be able to understand consumer confidence in the housing industry to increase consumer satisfaction and to improve consumer sentiment towards the residential property market in Malaysia.

The Impact of Chinese New Housing Policies on the Changsha Real Estate Market

2011 ◽  
Vol 255-260 ◽  
pp. 3963-3967
Author(s):  
Jia Luo ◽  
Lei Tan ◽  
Yun Fei Li ◽  
Wei Huang
Keyword(s):  
Sustainable Development ◽  
Real Estate ◽  
Real Estate Market ◽  
Housing Policies ◽  
The Sustainable Development ◽  
Qualitative Approaches ◽  
New Policies ◽  
The Impact

It is difficult to assess only by qualitative approaches the impact of Chinese new housing policies on the Changsha real estate market, due to its complexity. In this paper, hence, a model was proposed to evaluate the influence of the new policies quantitatively, by introducing variables which indicate the policies. Based on the analyses, reasonable solutions and suggestions have been put forward, which could provide theoretic supports for the sustainable development of Changsha real estate.

Price Discovery in the Taipei Residential Real Estate Market

1999 ◽  
Vol 02 (04) ◽  
pp. 459-470
Author(s):  
Chiuling Lu ◽  
Raymond W. So
Keyword(s):  
Real Estate ◽  
Price Discovery ◽  
Real Estate Market ◽  
Discovery Process ◽  
Residential Real Estate ◽  
Real Estate Markets ◽  
Property Prices ◽  
Taipei City ◽  
Using Data ◽  
Price Discovery Process

The price discovery process of the Taipei residential real estate market is examined. Using data from the Ta-An District of Taipei City, empirical evidence indicates that there exists a causal relationship between rental rates and property prices. Results here suggest that the two real estate markets are linked together; hence investors and end users can use price information in one market to predict future movements of the other market.

scholarly journals Digital tools for determining the cadastral valuation for the sustainable development of the region

2021 ◽  
Vol 106 ◽  
pp. 01012
Author(s):  
Sergey Sternik ◽  
Ilnur Gareev ◽  
Timur Akhmetgaliev
Keyword(s):  
Sustainable Development ◽  
Real Estate ◽  
Real Estate Market ◽  
Digital Information ◽  
The Sustainable Development ◽  
The Real ◽  
The Real Estate ◽  
Software Products ◽  
The Real Estate Market

This article studies digital information databases and aggregators of the real estate market as tools for the correct determination of the real estate cadastral value for the purpose of sustainable development of regions. An overview of foreign studies and software products in the framework of determining the real estate cadastral value of objects is presented. The author shows the statistics of challenging the cadastral value in Russia, including a specific example, as well as analyzed the reports on the determination of the cadastral value for the presence of the use of information databases and aggregators of the real estate market. As a result of the study, the author’s ideas for filling and using the information database of real estate objects were proposed in order to correctly determine the real estate cadastral value of objects.

scholarly journals Toward Sociocultural Indicators of Sustainable Healthy Diets

2021 ◽  
Vol 13 (13) ◽  
pp. 7226
Author(s):  
Jill Nicholls ◽  
Adam Drewnowski
Keyword(s):  
Sustainable Development ◽  
Food Systems ◽  
Research Priorities ◽  
Social Dimension ◽  
The Sustainable Development ◽  
Four Dimensions ◽  
Sustainable Diets ◽  
The Social ◽  
Healthy Diets ◽  
Development Goals

Balancing the social, economic and environmental priorities for public health is at the core of the United Nations (UN) approaches to sustainable development, including the Sustainable Development Goals (SDGs). The four dimensions of sustainable diets are often presented as health, society, economics, and the environment. Although sustainable diet research has focused on health and the environment, the social and economic dimensions of sustainable diets and food systems should not be forgotten. Some research priorities and sociocultural indicators for sustainable healthy diets and food systems are outlined in this report. The present goal is to improve integration of the social dimension into research on food and nutrition security.

scholarly journals Institutional Quality and Sustainable Development of Industries’ Exports: Evidence from China

2018 ◽  
Vol 10 (11) ◽  
pp. 4173 ◽  
Author(s):  
Feifei Wu ◽  
Xinyu Yan
Keyword(s):  
Sustainable Development ◽  
Institutional Environment ◽  
Institutional Quality ◽  
Emerging Countries ◽  
The Sustainable Development ◽  
Continuous Release ◽  
Comparative Advantages ◽  
Underlying Mechanisms ◽  
The Impact ◽  
New Evidence

The knowledge about the relations between domestic institutional quality and the sustainable development of exports in emerging markets remains limited, since most research into the relations between the institutional environment and the sustainable development of exports has been conducted in developed market economies, especially in those of North America and Europe. With dynamic changes in the institutional environment of emerging countries over the years, this paper provides a novel perspective for investigating the relations above. This is the first paper to investigate the impact of institutional quality on the sustainable development of industries’ exports in emerging countries from a comprehensive perspective of multiple institutional environments and multi-dimensional industries’ heterogeneity. On the basis of defining institutional quality and industry heterogeneity, this paper explores the underlying mechanisms of institutional quality affecting sustainable development of industries’ exports and conducts empirical analyses by using the data from China’s 20 industries’ exports to 117 countries for the period of 1996–2011. The results show that: (a) Industries with higher degrees of financial dependence or higher product technical complexities have export comparative advantages in better financial environments; (b) Industries with higher research and development (R&D) intensity or a higher concentration of intermediate inputs have export comparative advantages in better legal environments; (c) The differences in the level of financial development or in the efficiency of legal system would influence the effects of interactions between institutional quality and industry heterogeneity on the sustainable development of industries’ exports. The present paper provides new evidence that institutional quality does promote the sustainable development of industries’ exports in emerging countries. These results indicate that exports of heterogeneous industries in emerging economies are an adaptive response to the specific institutional environment, as well as a continuous release of institutional dividends with the improvement of the institutional environment.

scholarly journals Predicting real estate market trends and value using pre-processing and sentiment text mining analysis

2021 ◽  
pp. 35-43
Author(s):  
Nikolay Sinyak ◽  
Singh Tajinder ◽  
Jaglan Madhu Kumari ◽  
Vitaliy Kozlovskiy
Keyword(s):  
Social Media ◽  
Text Mining ◽  
Real Estate ◽  
Real Estate Market ◽  
Media Analysis ◽  
Market Information ◽  
Real Estate Markets ◽  
The Real Estate ◽  
Crowd Wisdom ◽  
Market Trends

Ubiquitous growth in the text mining field is unprecedented, where social media mining is playing a significant role. Gigantic growth of text mining is becoming a potential source of crowd wisdom extraction and analysis especially in terms of text pre-processing and sentiment analysis. The analysis of a potential influence of sentiment on real estate markets controversially discussed by scholars of finance, valuation and market efficiency supporters. Therefore, it’s a significant task of current research purview which not only provide an appropriate platform for the contributors but also for active real estate market information seekers. Text mining has gained the widespread attention of real estate market information users which is almost on explosion level. Accessibility of data on such behemoth scale mandates regular and critical analysis of this information for various perspectives’ plausibility. Rich patterns of online social text can be exploited to extract the relevant real estate information effectively. As text mining plays a significant and crucial role in discovery of these insights therefore its challenges and contribution in social media analysis must be explored extensively. In this paper, we provide a brief about the current summary of the modern state of text mining in pre-processing and sentiment for the real estate market analysis. Empha-sis is placed on the resources and learning mechanism available to real estate researchers and practitioners, as well as the major text mining tasks of interest to the community. Thus, the main aim of this chapter is to expound and intellectualize the domains of social media which are accessible on an extraordinary range in the field of text mining real estate for predicting real estate market trends and value.

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