Geography and location choices

WP_Query Object ( [query] => Array ( [post_type] => publicaciones [meta_key] => _wpcf_belongs_tesis_id [meta_value] => 2653 ) [query_vars] => Array ( [post_type] => publicaciones [meta_key] => _wpcf_belongs_tesis_id [meta_value] => 2653 [error] => [m] => [p] => 0 [post_parent] => [subpost] => [subpost_id] => [attachment] => [attachment_id] => 0 [name] => [pagename] => [page_id] => 0 [second] => [minute] => [hour] => [day] => 0 [monthnum] => 0 [year] => 0 [w] => 0 [category_name] => [tag] => [cat] => [tag_id] => [author] => [author_name] => [feed] => [tb] => [paged] => 0 [preview] => [s] => [sentence] => [title] => [fields] => [menu_order] => [embed] => [category__in] => Array ( ) [category__not_in] => Array ( ) [category__and] => Array ( ) [post__in] => Array ( ) [post__not_in] => Array ( ) [post_name__in] => Array ( ) [tag__in] => Array ( ) [tag__not_in] => Array ( ) [tag__and] => Array ( ) [tag_slug__in] => Array ( ) [tag_slug__and] => Array ( ) [post_parent__in] => Array ( ) [post_parent__not_in] => Array ( ) [author__in] => Array ( ) [author__not_in] => Array ( ) [ignore_sticky_posts] => [suppress_filters] => [cache_results] => 1 [update_post_term_cache] => 1 [lazy_load_term_meta] => 1 [update_post_meta_cache] => 1 [posts_per_page] => 10 [nopaging] => [comments_per_page] => 50 [no_found_rows] => [order] => DESC ) [tax_query] => WP_Tax_Query Object ( [queries] => Array ( ) [relation] => AND [table_aliases:protected] => Array ( ) [queried_terms] => Array ( ) [primary_table] => wp_posts [primary_id_column] => ID ) [meta_query] => WP_Meta_Query Object ( [queries] => Array ( [0] => Array ( [key] => _wpcf_belongs_tesis_id [value] => 2653 ) [relation] => OR ) [relation] => AND [meta_table] => wp_postmeta [meta_id_column] => post_id [primary_table] => wp_posts [primary_id_column] => ID [table_aliases:protected] => Array ( [0] => wp_postmeta ) [clauses:protected] => Array ( [wp_postmeta] => Array ( [key] => _wpcf_belongs_tesis_id [value] => 2653 [compare] => = [compare_key] => = [alias] => wp_postmeta [cast] => CHAR ) ) [has_or_relation:protected] => ) [date_query] => [request] => SELECT SQL_CALC_FOUND_ROWS wp_posts.ID FROM wp_posts INNER JOIN wp_postmeta ON ( wp_posts.ID = wp_postmeta.post_id ) WHERE 1=1 AND ( ( wp_postmeta.meta_key = '_wpcf_belongs_tesis_id' AND wp_postmeta.meta_value = '2653' ) ) AND ((wp_posts.post_type = 'publicaciones' AND (wp_posts.post_status = 'publish'))) GROUP BY wp_posts.ID ORDER BY wp_posts.post_date DESC LIMIT 0, 10 [posts] => Array ( [0] => WP_Post Object ( [ID] => 2677 [post_author] => 19 [post_date] => 2015-06-03 12:47:06 [post_date_gmt] => 2015-06-03 10:47:06 [post_content] => In this paper we analyse the differences in well-being between Spanishmunicipalities reflected by people’s migratory decisions. It is assumed that people movefor improving their well-being conditions and consequently migratory flows basicallyreflect perceived differences in the quality of life between potential destinations. Ourempirical findings are: first, municipalities in the Mediterranean Axis are perceived asthose with the highest quality of life; second, we detect a general process of convergence inquality of life conditions among the Spanish municipalities in the last 15 years; third,estimated levels of quality of life are inversely related to urban size; and, fourth, peopleperceive nearby destinations as the most attractive places to move to. [post_title] => Foot voting in Spain: What do internal migrations say about quality of life in the Spanish municipalities? [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => foot-voting-in-spain-what-do-internal-migrations-say-about-quality-of-life-in-the-spanish-municipalities [to_ping] => [pinged] => [post_modified] => 2020-02-08 10:01:38 [post_modified_gmt] => 2020-02-08 09:01:38 [post_content_filtered] => [post_parent] => 0 [guid] => http://doctoradodecide.com/?post_type=publicaciones&p=2677 [menu_order] => 0 [post_type] => publicaciones [post_mime_type] => [comment_count] => 0 [filter] => raw ) [1] => WP_Post Object ( [ID] => 2675 [post_author] => 19 [post_date] => 2013-06-03 12:44:49 [post_date_gmt] => 2013-06-03 10:44:49 [post_content] => n this paper we study how neighbourhood‐related spillovers affect location choices of manufacturing firms at a local level. A spatial Dirichlet‐multinomial regression model is applied to 90,000 new establishments of the Spanish Mediterranean Axis. Empirical findings show that spatial spillovers play an important role, together with traditional explanatory factors, in driving decisions of companies. Their size and scope depends on two main issues, the specific characteristics of the manufacturing industry the firm belongs to, and the accessibility of the urban environment where the firm is located. [post_title] => Spatial effects in industrial location choices: Industry characteristics and urban accessibility [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => spatial-effects-in-industrial-location-choices-industry-characteristics-and-urban-accessibility [to_ping] => [pinged] => [post_modified] => 2020-02-08 10:03:13 [post_modified_gmt] => 2020-02-08 09:03:13 [post_content_filtered] => [post_parent] => 0 [guid] => http://doctoradodecide.com/?post_type=publicaciones&p=2675 [menu_order] => 0 [post_type] => publicaciones [post_mime_type] => [comment_count] => 0 [filter] => raw ) [2] => WP_Post Object ( [ID] => 2673 [post_author] => 19 [post_date] => 2012-06-03 12:42:58 [post_date_gmt] => 2012-06-03 10:42:58 [post_content] => Focusing on the characteristics of destinations, we seek to identify the relevance of spatial spillovers while driving location choices of manufacturing and services firms. With this objective, we apply a spatial conditional logit equation to model empirically the behaviour of 1 092 864 firms established in 316 municipalities of the Spanish Mediterranean Arc during the period 1998–2008. Our econometric specification allows us to identify both types of external spatial effects, direct or locally bounded, and indirect or associated-neighbourhood spatial effects. Further, we propose a broad indicator of spatial spillovers generated by a given destination. Empirical findings show that spatial spillovers generated by destinations have greater impacts on the location decisions of manufacturing companies compared with those of services. When we break down the sample by technological intensity of activities, we observe that spatial spillovers are more willing to affect decisions of knowledge-intensive companies relative to those of less knowledge-intensive ones, which stay more locally bounded. [post_title] => The role of destination spillovers and technological intensity in the location of manufacturing and services’ firms [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => the-role-of-destination-spillovers-and-technological-intensity-in-the-location-of-manufacturing-and-services-firms [to_ping] => [pinged] => [post_modified] => 2020-02-08 10:03:30 [post_modified_gmt] => 2020-02-08 09:03:30 [post_content_filtered] => [post_parent] => 0 [guid] => http://doctoradodecide.com/?post_type=publicaciones&p=2673 [menu_order] => 0 [post_type] => publicaciones [post_mime_type] => [comment_count] => 0 [filter] => raw ) [3] => WP_Post Object ( [ID] => 2670 [post_author] => 19 [post_date] => 2011-06-03 12:40:52 [post_date_gmt] => 2011-06-03 10:40:52 [post_content] => This research, following the original contributions of Vichiensan et al. (J East Asia Soc Trans Stud 6:3789–3802, 2005) and Autant-Bernard (Eur Plan Stud 14:1187–1208, 2006), employs a spatial conditional logit framework in order to explore the role that inter-territorial spillovers play in driving the location choices of industrial firms. After introducing neighbourhood effects into the theoretical model, we test the methodology using data on 8,429 firms established in the municipalities making up the Spanish region of Murcia. Our results show that human capital, agglomeration economies and industrial land availability are the main factors driving entrepreneurs’ decisions. Estimates of the spatial component of the model indicate that spillovers or externalities taking place between municipalities (inter-territorial spatial effects) have a remarkable influence on the location decisions of the firms, thus confirming the need to account for such spatial dependence pattern when studying location decisions of industrial companies at a local level. [post_title] => Industrial location, spatial discrete choice models and the need to account for neighbourhood effects [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => industrial-location-spatial-discrete-choice-models-and-the-need-to-account-for-neighbourhood-effects [to_ping] => [pinged] => [post_modified] => 2020-02-08 10:03:50 [post_modified_gmt] => 2020-02-08 09:03:50 [post_content_filtered] => [post_parent] => 0 [guid] => http://doctoradodecide.com/?post_type=publicaciones&p=2670 [menu_order] => 0 [post_type] => publicaciones [post_mime_type] => [comment_count] => 0 [filter] => raw ) ) [post_count] => 4 [current_post] => -1 [in_the_loop] => [post] => WP_Post Object ( [ID] => 2677 [post_author] => 19 [post_date] => 2015-06-03 12:47:06 [post_date_gmt] => 2015-06-03 10:47:06 [post_content] => In this paper we analyse the differences in well-being between Spanishmunicipalities reflected by people’s migratory decisions. It is assumed that people movefor improving their well-being conditions and consequently migratory flows basicallyreflect perceived differences in the quality of life between potential destinations. Ourempirical findings are: first, municipalities in the Mediterranean Axis are perceived asthose with the highest quality of life; second, we detect a general process of convergence inquality of life conditions among the Spanish municipalities in the last 15 years; third,estimated levels of quality of life are inversely related to urban size; and, fourth, peopleperceive nearby destinations as the most attractive places to move to. [post_title] => Foot voting in Spain: What do internal migrations say about quality of life in the Spanish municipalities? 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