Results 81 to 90 of about 190,253 (339)
The Importance of Spatial Autocorrelation for Regional Employment Growth in Germany [PDF]
In analyzing the disparities of the regional developments in the volume of employment in Germany, in the recent empirical literature so called shift-share-regression-models are frequently applied.
Ulrich Zierahn
core
Spatial Autocorrelation and Verdoorn Law in the Portuguese NUTs III [PDF]
, 2011 This study analyses, through cross-section estimation methods, the influence of spatial effects in productivity (product per worker), at economic sectors level of the NUTs III of mainland Portugal, from 1995 to 1999 and from 2000 to 2005 (taking in count
Martinho, Vitor Joao Pereira Domingues
core +1 more source
Agribusiness, EarlyView.ABSTRACT The US hemp market is a new and nascent industry that has been devoid of research for about half a century. This study examined the effects of exogenous shock on price at each phase of the value chain—Farm (hemp biomass), and its impact on prices at other phases of the value chain—Intermediary Processor (crude cannabidiol hemp) and Final ...
Solomon Odiase +2 more
wiley +1 more source
PLoS ONELand use changes significantly impact both carbon emissions and ecosystem service value (ESV). However, few studies have been conducted on the spatial relationship between land use carbon emissions (LUCE) and ESV. Thus, focused on the Yellow River Basin (
Gubu Muga, Damien S Tiando, Chong Liu
doaj +1 more source
An Assessment of Spatial-temporal Alteration of Sunshine Hours in Iran [PDF]
نشریه جغرافیا و برنامهریزی, 2018 This study aims to identify the spatial autocorrelation and spatial variation of sunshine hours in Iran. For this purpose, the sunshine hours to form a network database have been made in Iran.
Golam Abbas Fallah Galharei, mehdi asadi
doaj
Finite Sample Properties of Moran's I Test for Spatial Autocorrelation in Probit and Tobit Models - Empirical Evidence [PDF]
In this paper, we investigate the finite sample properties of Moran’s I test statistic for spatial autocorrelation in limited dependent variable models suggested by Kelejian and Prucha (2001).
L. Anselin, P. Amaral
core
Modelling Spatial Autocorrelation in Spatial Interaction Data
SSRN Electronic Journal, 2007 Spatial interaction models of the gravity type are widely used to model origindestination flows. They draw attention to three types of variables to explain variation in spatial interactions across geographic space: variables that characterise an origin region of a flow, variables that characterise a destination region of a flow, and finally ...
Fischer, Manfred M., Griffith, Daniel A.
openaire +4 more sources
The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry
Agribusiness, EarlyView.ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley +1 more source
Frontiers in PhysicsThe spatial autocorrelation method is an important method for extracting the velocity dispersion curve from microtremor data. However, site data typically cannot strictly meet spatial and temporal stationary feature, and this greatly affects the accuracy
Qingling Du +4 more
doaj +1 more source
Spatial effects and Verdoorn law in the Portuguese context [PDF]
The consideration of spatial effects at a regional level is becoming increasingly frequent and the work of Anselin (1988), among others, has contributed to this.
Martinho, Vítor João Pereira Domingues
core +1 more source