Real estate data to analyse the relationship between property prices, sustainability levels and socio-economic indicators

Abstract

Recent studies have sought to explore the relationship between environmental and financial performance, in particular the relationship between the energy efficiency level of a building and its financial value. The present real estate dataset contains 43 variables of repeat sales transactions, energy performance certificate (EPC) rating, index of multiple deprivation (IMD), and geographical location of properties in England and Wales involved in a total of 4,201 transactions from 1995 to 2012. This dataset enables researchers and practitioners to further explore important questions regarding the nexus between the real estate industry, sustainability levels, and socio-economic aspects. Due to the scarcity of publicly available quality real estate data, the dataset detailed in this article may play a relevant role by becoming easily discoverable, clearly explained, and structured to be ready to be used by researchers, analysts, and policymakers. The empirical analysis of the economic case for energy-efficient dwellings in the UK private rental market performed in Fuerst, et al. [1] is based on this dataset.

Modeling of housing stock sustainable reproduction and programs of renovation

“…System analysis, statistical methods, methods of economic and mathematical modeling, balance and regulatory methods, ecological and economic analysis were used to solve the tasks. Fundamental works of classics of economic theories, methods of abstraction, comparison, analysis, synthesis, modeling, forecasting, expert assessments, theory of evaluation activity, mathematical statistics, economic and mathematical modeling, factor, situational and retrospective analysis, the method of scenarios, morphological and logical analysis are also planned [9][10][11][12][13].…”

The Real Estate Market and its Influencing Factors for Sustainable Real Estate Development: A Case of Latvia

“…Possible changes in the real estate market and different economic interconnections were previously analysed by different scientists. For example, the relationships between property prices, sustainability levels and socio-economic indicators were investigated by Fuerst & Haddad (2020). According to Fabozzi & Xiao (2017), the interaction of the trading behaviour of market participants in the housing and rental markets could result in a boom and bust in both markets.…”

A geo-referenced micro-data set of real estate listings for Spain’s three largest cities

“…Some researchers have already responded to this need for publicly available, geo-referenced data sets to support open, reproducible research. A few such data sets are now available to support the analysis of real estate markets, but they are sometimes geo-referenced at the level of large geographical zones, such as Fuerst and Haddad (2020), an open data set that includes n = 4, 201 property prices geocoded to the level of nine regions in England and Wales. Other data sets are geo-coded as points, including Bonifaci and Copiello (2015), which includes n = 1, 042 observations for Padua, in Italy; Del Giudice et al (2018), who share a data set with n = 576 observations relating to rental prices in Naples, Italy; and Solano Sánchez et al (2019) present a data set with n = 1, 623 daily rental prices in Seville, Spain.…”