Institutions in rural land transactions

2014 ◽  
Vol 7 (2) ◽  
pp. 216-238
Author(s):  
Alexander Woestenburg ◽  
Erwin van der Krabben ◽  
Tejo Spit

Purpose – This article aims at analysing the different institutional aspects of the rural land market that are manifest at the transactional level. Second, it answers the question whether including these aspects in a land price model increases the understanding of rural land market outcomes. Institutional economics scholars have challenged the limited institutional behaviour of conventional land market models. Despite their research methods remaining primarily qualitative, research findings suggest that we should look at institutional aspects to understand land and real estate market outcomes better. Design/methodology/approach – This paper presents a hedonic price model explaining rural land prices by using individual institutional transaction aspects from the deeds of purchase of the land exchange. Findings – The results indicate that incorporating institutional aspects, such as property rights, transactional arrangements and governance context, as explanatory variables significantly improves the power of the model. Originality/value – The approach taken in this article is new in the sense that it tries to combine a quantitative research method with a rich data set of a more qualitative character. The use of deeds of purchase as a primary source of a hedonic price model is relatively new and provides a first step in bridging the gap between advanced hedonic land price models and rich institutional economic insights in market processes.

2018 ◽  
Vol 10 (2) ◽  
pp. 222-235 ◽  
Author(s):  
Sara Rosson ◽  
Lorenzo Zirulia

Purpose Different, alternative or complementary strategies have been advanced for the rejuvenation of the ski tourism product, thus favoring its economic and environmental sustainability. This paper aims to provide new suggestions by looking at the determinants of ski lift ticket prices in the Dolomites. Design/methodology/approach The paper uses a hedonic price model approach, which allows the identification of the relative importance of different attributes on the determination of a product price. Findings The model shows that a higher level of investment in modern lifts and snowmaking equipment undertaken by the resort pays off in terms of customers’ perceived value-for-money relationship. The same is not true for investments in the enlargement of the skiable surface or the introduction of night skiing options and illuminated slopes. The authors found evidence that non-participatory activities, such as different winter sports and on-slope entertainment, can improve the customer’s perception of resorts’ quality. Finally, reputation plays an important role in determining the customers’ perception of good value-for-money destinations and deals. Originality/value With respect to previous works, the research expands the range of attributes possibly impacting ski lift ticket prices. Identifying crucial elements consumers would be willing to pay for allows managers to re-think and adjust their products and prices accordingly, improving the economic sustainability of the ski tourism product.


2014 ◽  
Vol 116 (10) ◽  
pp. 1600-1617 ◽  
Author(s):  
Domenico Carlucci ◽  
Bernardo De Gennaro ◽  
Luigi Roselli ◽  
Antonio Seccia

Purpose – The purpose of this paper is to analyse the relationship between the price of extra virgin olive (EVO) oil and its main quality attributes, in the specific case of business-to-consumers electronic commerce (B2C EC) channel. The final objective is to provide useful insights for small and medium-sized enterprises (SMEs) interested in online selling of EVO. Design/methodology/approach – A hedonic price model was estimated considering the following attributes: packaging, cultivar composition, organic certification, oil extraction method, origin certification and localization of selling firms. A survey was performed in 2012 considering 169 virtual stores of SMEs (farms, mills and bottlers) located in all the main Italian olive-growing areas. A data set of 667 references was used to estimate the implicit prices of considered attributes. Findings – The EVOs sold through virtual stores are highly differentiated on the basis of several quality attributes among which the most important is the certification of origin (protected denominations of origin/protected geographical indication). Therefore the firm location could generate considerable advantages or disadvantages in adopting a B2C EC strategy. Research limitations/implications – Future researches should develop a comparison between the premium prices and costs associated to each attribute in order to find the best product differentiation strategy. An accurate analysis about the implementation and management costs of EC systems as well as an examination of interactions between online and offline sale channels is needed. It would be useful to compare the manufacturer direct sell business model with other business model. Originality/value – Few studies applied the hedonic price model to analyse the retail olive oil market. Nevertheless, no studies have analysed the market of EVO sold in virtual shops.


Land ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 533
Author(s):  
Sheng Li ◽  
Yi Jiang ◽  
Shuisong Ke ◽  
Ke Nie ◽  
Chao Wu

The characteristics of housing and location conditions are the main drivers of spatial differences in housing prices, which is a topic attracting high interest in both real estate and geography research. One of the most popular models, the hedonic price model (HPM), has limitations in identifying nonlinear relationships and distinguishing the importance of influential factors. Therefore, extreme gradient boosting (XGBoost), a popular machine learning technology, and the HPM were combined to analyse the comprehensive effects of influential factors on housing prices. XGBoost was employed to identify the importance order of factors and HPM was adopted to reveal the value of the original non-market priced influential factors. The results showed that combining the two models can lead to good performance and increase understanding of the spatial variations in housing prices. Our work found that (1) the five most important variables for Shenzhen housing prices were distance to city centre, green view index, population density, property management fee and economic level; (2) space quality at the human scale had important effects on housing prices; and (3) some traditional factors, especially variables related to education, should be modified according to the development of the real estate market. The results showed that the demonstrated multisource geo-tagged data fusion framework, which integrated XGBoost and HPM, is practical and supports a comprehensive understanding of the relationships between housing prices and influential factors. The findings in this article provide essential implications for informing equitable housing policies and designing liveable neighbourhoods.


Author(s):  
Vlastimil Reichel ◽  
Petr Zimčík

The real estate market demand for both‑houses and flats has been growing recently. This trend is one of the factors, which are able to influence the price of real estate. Our paper introduces determinants of housing price and their influence on actual real estate prices in the statutory city of Brno. The aim of this paper is to present key determinants of house price and find the hedonic price model, which describes, how determinants affect house price best. Realized prices were analyzed for housing units located in different districts of Brno. Key determinants in this research are a year of sale, an area of flat in square meters, number of rooms, location in districts of Brno, type of masonry and reconstruction. The dataset covers the time period between years 2012 and 2015. Hedonic price model is estimated by the method of ordinary least square. Besides main aim, four assumptions were verified, which should determine the influence on the price of individual determinants in the statutory city of Brno.


Author(s):  
José-María Montero ◽  
Gema Fernández-Avilés

1998 ◽  
Vol 16 (3) ◽  
pp. 297-312 ◽  
Author(s):  
Neil Dunse ◽  
Colin Jones

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