This paper uses NUTS3 sub-regional data for Great Britain to analyse thedeterminants of spatial variations in income and productivity. We decompose thespatial variation of earnings into a productivity effect and an occupationalcomposition effect. For the former (but not the latter) we find a robust relationshipwith proximity to economic mass, suggesting that doubling the population ofworking age proximate to an area is associated with a 3.5% increase in productivityin the area. We measure proximity by travel time, and show that effects declinesteeply with time, ceasing to be important beyond approximately 80 minutes
Economists and policy-makers often present per capita GDP as by far the most significant indicator o...
This paper examines the impact of employment density (agglomeration) on the hourly earnings of worke...
This paper estimates the determinants of labour productivity in European NUTS regions during 1989-19...
This paper uses NUTS3 sub-regional data for Great Britain to analyse the determinants of spatialvari...
This paper uses sub-regional data for Great Britain to analyse the determinants of spatial variation...
This paper uses NUTS3 sub-regional data for Great Britain to analyse the determinants of spatial var...
International audienceThis paper uses the techniques of exploratory spatial data analysis to analyse...
This paper uses the techniques of exploratory spatial data analysis to analyse patterns of spatial a...
This paper identifies factors underpinning spatial variation in manufacturing labour productivity in...
Labour productivity is known to be higher in the presence of agglomeration economies. This paper pre...
This working paper offers a synthesis of the current knowledge on the determinants of productivity. ...
Abstract: Papers examining a developed nation’s labour productivity frequently ignore spatial effect...
This paper uses the techniques of exploratory spatial data analysis to analyse patterns of spatial a...
Spatial variation in the productivity of different sectors is a determinant of sectoral location, wi...
Economists and policy-makers often present per capita GDP as by far the most significant indicator o...
Economists and policy-makers often present per capita GDP as by far the most significant indicator o...
This paper examines the impact of employment density (agglomeration) on the hourly earnings of worke...
This paper estimates the determinants of labour productivity in European NUTS regions during 1989-19...
This paper uses NUTS3 sub-regional data for Great Britain to analyse the determinants of spatialvari...
This paper uses sub-regional data for Great Britain to analyse the determinants of spatial variation...
This paper uses NUTS3 sub-regional data for Great Britain to analyse the determinants of spatial var...
International audienceThis paper uses the techniques of exploratory spatial data analysis to analyse...
This paper uses the techniques of exploratory spatial data analysis to analyse patterns of spatial a...
This paper identifies factors underpinning spatial variation in manufacturing labour productivity in...
Labour productivity is known to be higher in the presence of agglomeration economies. This paper pre...
This working paper offers a synthesis of the current knowledge on the determinants of productivity. ...
Abstract: Papers examining a developed nation’s labour productivity frequently ignore spatial effect...
This paper uses the techniques of exploratory spatial data analysis to analyse patterns of spatial a...
Spatial variation in the productivity of different sectors is a determinant of sectoral location, wi...
Economists and policy-makers often present per capita GDP as by far the most significant indicator o...
Economists and policy-makers often present per capita GDP as by far the most significant indicator o...
This paper examines the impact of employment density (agglomeration) on the hourly earnings of worke...
This paper estimates the determinants of labour productivity in European NUTS regions during 1989-19...