regression model with the Globalization and World Cities research network's measure of globalized service provisioning as the dependent variable and a range of variables focusing on population, infrastructure, urban primacy, and national regulation
as independent variables. The discussion of the results focuses on model parameters as well as the meaning of outliers and is used to explore some avenues for future research.
Systematic review : an analysis model for measuring the coopetitive performance in horizontal cooperation networks mapping the critical success factors and their variables
to point out which are critical suc-cess factors (CSF), and their variables which influence the coopetition performance of a HCN under aspects of cooperation and competitiveness. A systematic review supported by Sampaio and Manci-ni (Revista Brasileira de
the raise of pub-lications found inside the scope, 18 CSF, 52 variables were mapped correlating them with 144 indi-cators, therefore, supporting and validating the proposed model of analysis.
This paper uses OLS model, Spatial Panel Lagged model and Spatial Panel Error model to quantitatively analyze the influencing mechanisms of 5 class factors and 17 variables supported by GIS (Geographic Information System) and MATLAB. A comprehensive
of these models indicate that industrialization, urbanization, economic development level, location, transportation and policy have significant impact on land intensive use (LIU) of counties. The variables of physical geography are less significant than socio
-economic variables. An ignored variable of historical factor, however, became the best significant factor.
New Orleans has suffered from a significant population decline during 2000–2010, mainly due to Hurricane Katrina in 2005. Regression models are used here to explain the spatial variability of population change in New Orleans by variables
such as proximity (distance or travel time) to the central business district (CBD), a natural environment variable “elevation”, and two composite socio-demographic indices derived from variables in the census. The research reveals a U-shaped population-change
redicting functional role and occurrence of Whitebark Pine (Pinus albicaulis) at alpine treelines : model accuracy and variable importance
that for the combined model, growing season temperature and slope curvature were the most important predictive variables for association and relative position, as revealed by overall agreement among the four models. Prediction accuracy and variable importance varied
An updated assessment of trends and variability in total and extreme rainfall in the western Pacific
Climate extreme ; Climatic trend ; Climatic variability ; Ocean atmosphere interaction ; Pacific Region ; Pluviometry ; Precipitation ; Time series ; Tropical zone ; Western Pacific Region
spatialement très hétérogènes et variables d'une sous-période à l'autre, sans jamais ou presque être significatives. L'influence de la température superficielle de l'océan et celle de l'ENSO sont indiscutables mais inconstantes. - (JPB)
Estimation of autoregressive models with two types of weak spatial dependence by means of the W-based and the latent variables approach : evidence from Monte Carlo simulations
Autorégression spatiale ; Biais statistique ; Dépendance spatiale ; Erreur ; Modèle ; Méthode de Monte Carlo ; Méthode des moindres carrés ; Simulation ; Variable latente
This article examines the estimation of autoregressive models with two types of weak spatial dependence by means of the W-based and the latent variables approach through evidence from Monte Carlo simulations. It starts by comparing the two
Fire synchrony and the influence of Pacific climate variability on wildfires in the Florida Keys, United States
Climate ; Climate oscillation ; Climatic variability ; Fire ; Florida ; Forest ; Island ; Pacific Ocean ; Pine ; Twentieth Century ; United States of America
This article investigates relationships between climate variability and wildfires in endangered pine rockland communities in the Florida Keys (Big Pine Key and No Name Key islands), United States. Superposed epoch analysis revealed that widespread
variables at the NUTS 3 level is addressed through a modified version of the Bayesian interpolation method introduced by Palma and Benedetti. Spatial heterogeneity is taken into account by identifying convergence clubs. For this purpose, we use the modified
This paper examines the impact of manager-level, firm-level and regional-level variables on the decisions of firms to collaborate with partners at different levels of geographical distance. The results indicate that collaboration is affected
in different ways by variables related to the following levels (the region, elsewhere in the country and abroad, respectively). They highlight the need to balance policies for boosting regional social capital and RandD with investments in education
This paper employs cross-sectional data on ninety-six German regions to investigate the interregional variability of homeownership rates. It is found that regional differences in the relative price of owning versus renting and the affordability
of owner-occupied housing play a key role in explaining why homeownership rates vary so substantially across the country. The results indicate significant neighbourhood effects for several variables.
This study investigates the economic geography of international trade during the period 1950–2005. It introduces a new trade bloc variable that relies on the intramax hierarchical clustering technique to identify endogenous trade blocs with annual
trade flows. Multivariate analysis with gravity-equation-based variables is used to explain how mechanisms of globalisation have affected trade patterns over the past half century. In particular, proximity and economic integration agreements are key
Spatial variability in soil compaction properties associated with field traffic operations
This study was carried out, at the Ataturk University Research Farm in the Erzurum Plain, to determine the effects of field traffic operations on the changes in spatial variability of soil aggregate stability (AS), bulk density (BD), total porosity
to choose a variable rate mortgage is more likely to occur in areas with lower incomes and affordability rates, such as Northern England, Scotland and Wales. Since variable rate mortgages are more sensitive to income and monetary policy shocks
, the disproportional distribution of variable contracts within the mortgage sector may have a differential impact on the regions.
Sediment variability and transport in the littoral area of the abandoned Yellow River Delta, northern Jiangsu
The data of surface sediment samples obtained in the littoral area of the Yellow River Delta in 2006 and 2012 are used to study the sediment variability and sediment transport trends by using the geostatistics analysis tool and the grain size trend
Climatic and atmospheric teleconnection indices and western Arctic sea ice variability
This paper examines the sea ice cover minima in the western Arctic in the context of several climatic mechanisms known to impact its variability. The AA. evaluate the role of atmospheric and oceanic teleconnections, as well as Northern Hemisphere
important environmental variable explaining both the activity-inactivity variation and the distribution of active sites. The next most important variables are soil moisture and (micro)climatological conditions in the activity modelling, and slope angle
and ground material in the distribution modelling. For solifluction, the key variables determining the activity-inactivity variation are mean annual air temperature and mean maximum snow depth, whereas vegetation abundance and slope angle control