Socio-Economic and Spatial Characteristics of Wielkopolski National Park: Application of the Hedonic Pricing Method

The study aimed to determine the influence of the proximity of Wielkopolski National Park (WNP) on the value of dwelling units in Mosina municipality. The research was conducted based on 1182 residential property transactions in the period from 2014 to 2018. The input data were subjected to spatial and statistical analysis. The main part of the analysis was performed with the use of the hedonic price method (HPM)—WLS (weighted least squares). The use of statistical tools made it possible to find undeniable evidence that the housing prices are positively related to the presence of Wielkopolski National Park, which has also been confirmed by previous research works conducted in other parts of the world.

Measuring the Effect of Location on House Prices in Italy

The Italian housing market is characterised by both a strong heterogeneity of real estate assets and a reduced number of property sales. These features, indeed, hamper the use of the hedonic price method, namely, the method that is mostly used for assessing the house prices and for estimating the monetary value of housing characteristics. In this paper, therefore, a hedonic model with dummy variables that identify housing submarkets is used to achieve two important results: enabling greater use of multiple regression analysis in the study of the Italian real estate market, and catching, in the simplest possible manner, the effect of location on house price. Indeed, the house's location is, together with the area in square metres, the housing characteristic that most influences the house price.

Measuring the Economic Impact of a Voluntary Sustainable Tourism Certification

This article contributes to the debate about whether the investment in tourism sustainability is economically profitable for firms. Specifically, using cross-sectional analysis, we explore the existence of a causal link between the possession of a voluntary sustainable certification, Eco-Management and Audit Scheme (EMAS), and the increase in the prices of hotel accommodation. For this, the hedonic price method is used. Prior to the hedonic estimation, the propensity score-matching methodology is applied in order to control for self-selection bias. The analysis is carried out for coastal hotels located in the southern area of Tenerife (Canary Islands, Spain) which merits attention as a typical mature sun and beach tourist destination. The study does not reveal any significant effects of sustainable certification on the prices of accommodations, which would appear to explain the low participation of establishments in the program. We conclude by providing some useful insights on measures aimed at improving related policies.

CONSUMER PREFERENCES FOR TABLE CASSAVA CHARACTERISTICS IN PERNAMBUCO, BRAZIL.

Cassava is a major source of carbohydrate for populations in the tropics;however, there is little information about the preferences of consumers toward thequality characteristics of this crop. This paper analyzes the demand for differentcassava attributes, and applies the hedonic price method to estimate the values thatconsumers give to implicit attributes of cassava. The results show that ease of peeling,time of cooking and texture of cassava are the most important characteristics consumersconsider when purchasing and consuming cassava. Cassava varieties, root size, ease ofpeeling and location of the market are relevant attributes in price determination.

Design of Real Estate Price Index System Based on Hedonic Price Method

Urban real estate price index (hereinafter referred to as UREPI) is a basic data of the real estate market, its accuracy is very important for enterprises, consumers and housing management department. In view of current research level here in China and popular models, the UREPI system is compiled based on the Hedonic price method because of its advantages such as calculation simple and sample easily etc. Compiled by Eviews the system has three main stages: the data standardization, the benchmark model establishment and the application of two periods chained update method to update price series. UREPI system is combined with the real deal, so it can be used to analysis the market accurately. The results completely meet the design requirements.