Real Estate and Land Values on the shoreline: a transaction-level analysis (In French)

Land use changes generate some conflicts, in particular between agricultural and residential uses in the urbanization context and sprawl phenomena. Coastal zones also produce specific amenities that create conflicts over land-use, increase housing and land values and, associated with and/or substituted to urban amenities modify the structure of the territory.\r\nThis article is aimed at studying the influence of coastal and urban amenities, respectively defined in terms of accessibility to the sea side and to employment center, on prices. We differentiate the analysis between two distinct study areas according to the degree of urban development: the Charente coast that is still highly agricultural, and the Basque coastal area more urbanized. According to these local specificities, we will study with the same hedonic pricing method land use prices in the first case and property prices in the second.\r\nThe main results underline the major influence of littoralisation as structural phenomena in housing and land prices dynamics. We identify two different types of gradient of values in relation to distance to sea side as regards to the residential or agricultural use: a “growth premium” explains the agricultural land price gradient whereas both amenity and accessibility premiums justify the residential gradients.coastal areas, land and housing markets, hedonic pricing, gradients

The geography of French creative class: An exploratory spatial data analysis

This paper analyses the creative class geography in France, in 2006. This geography is seen here through the lens of Explanatory Spatial Data Analysis (ESDA). This method brings originality to the question of creative people geography in addition to the spatial context, France, where this question hasn’t been deepened yet. Methodology allows measurement of spatial agglomeration degree and identification of creative people location patterns. First, by computing locational Gini index and Moran’s I statistic of global spatial autocorrelation. These measures provide an overview of the spatial distribution of creative people among French districts and the existence of some hotspot regions with strong dynamic of creative people accumulation. Second, Exploratory Spatial Data Analysis (ESDA) tools, such as Moran scatterplot and LISA statistics, allow to identify district clusters of creative people. It leads to evidence that creative people are unevenly geographically distributed across French districts. District clusters of creative occupations result from spreading of French largest cities influence.Creative class, ESDA, location patterns, spatial autocorrelation, French districts