Spatial determinants of productivity

analysis for the regions of Great Britain
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Centre for Economic Performance, London School of Economics and Political Science , London
Industrial productivity -- Great Britain -- Regional disparities., Industrial productivity centers -- Great Britain., Great Britain -- Economic conditions -- Regional dispari

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Great Britain, Great Bri

StatementPatricia Rice and Anthony J. Venables.
SeriesCEP discussion paper ;, no. 642, Discussion paper (London School of Economics and Political Science. Centre for Economic Performance : Online) ;, no. 642.
ContributionsVenables, Anthony., London School of Economics and Political Science. Centre for Economic Performance.
Classifications
LC ClassificationsHC10
The Physical Object
FormatElectronic resource
ID Numbers
Open LibraryOL3390263M
LC Control Number2004617514

Regional inequalities are a striking and persistent feature of many economies, developed and less developed. This paper investigates the determinants of spatial productivity differences, paying particular attention to the role of proximity to economic by: Spatial determinants of productivity: Analysis for the regions of Great Britain Patricia Rice a,⁎, Anthony J.

Venables b,c, Eleonora Patacchini d a Department of Economics, University of Southampton, Southampton, SO17 1BJ, UK b Department of Economics, London School of Economics, Houghton Street, London WC2A 2AE, UK c CEPR, UK d La Sapienza, Rome, Italy.

The spatial dimension of productivity OECD Regional Development Working Papers Working papers from the Regional Development Policy Division of the OECD cover a full range of topics including regional statistics and analysis, urban governance and economics, rural governance and economics, and multi-level : Alexandra Tsvetkova, Rudiger Ahrend, Joaquim Oliveira Martins, Alexander C.

Lembcke, Polina Knutsson. This paper uses NUTS3 sub-regional data for Great Britain to analyse the determinants of spatial variations in income and productivity.

We decompose the spatial variation of earnings into a productivity effect and an occupational composition effect. This paper uses NUTS3 sub-regional data for Great Britain to analyse the determinants of spatial variations in income and productivity. We decompose the spatial variation of earnings into a productivity effect and an occupational composition effect.

For the former (but not the latter) we find a robust relationship with proximity to economic mass, suggesting that doubling the population of.

This study analyses the effect of the spatial factor, location, and interaction effects among peer companies, on the productivity growth of agri‐food companies in Spain. With this aim, we build a productivity growth index and apply a multiequational Seemingly Unrelated Regression on a sample of Spanish cooperatives and investor‐owned Cited by: 4.

determinants of spatial variation in measures of economic performance, including the productivity index and the occupational composition index. The investigation is based on arguments from the economic geography literature and the possibility that there are increasing. analyze the determinants of spatial variations in productivity.

The main finding of the study is that regional specialization level is not a significant determinant in determining productivity of Turkish regions which does not support the predictions of New Economic Geography Theory.

Spatial Determinants of Productivity: Analysis for the Regions of Great Britain. This paper uses NUTS3 sub-regional data for Great Britain to analyse the determinants of spatial variations in income and productivity. We decompose the spatial variation of earnings into a productivity effect and an occupational composition effect.

In the following sections we describe the spatial variability of key factors shaping the productivity of production systems, examine the overall value of (crop) production and associated spatial patterns of land and labor productivity, and briefly discuss the projected effects of climate change spatially.

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This paper uses NUTS3 sub-regional data for Great Britain to analyse the determinants of spatial variations in income and productivity. We decompose the spatial variation of earnings into a productivity effect and an occupational composition effect. For the former (but not the latter) we find a robust relationship with proximity to economic mass, suggesting that doubling the population ofCited by: Spatial determinants of productivity: Analysis for the regions of Great Britain.

Patricia Rice, Anthony Venables and Eleonora Patacchini. Regional Science and Urban Economics,vol. 36, issue 6, Date: References: View references in EconPapers View complete reference list from CitEc Citations: View citations in EconPapers () Track citations by RSS feedCited by: This Paper uses NUTS3 sub-regional data for Great Britain to analyse the determinants of spatial variations in income and productivity.

We decompose the spatial variation of earnings into a productivity effect and an occupational composition effect. There is a large and extensive literature examining the strength of agglomeration economies and, more generally, the determinants of spatial variations in productivity for developed countries.

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However, the corresponding literature for developing countries is comparatively scant. The determinants of productivity in Chinese large and medium-sized industrial firms, – Sai Ding1 • Alessandra Guariglia2 • Richard Harris3 Published online: 24 October The Author(s) This article is published with open access at Abstract Using Cited by: Spatial Determinants of Productivity: Analysis for the Regions of Great Britain.

This Paper uses NUTS3 sub-regional data for Great Britain to analyse the determinants of spatial variations in income and productivity. We decompose the spatial variation of earnings into a productivity effect and an occupational composition effect. For the Author: Patricia Rice and Anthony J.

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Venables. Spatial Determinants of Productivity: Analysis for the Regions of Great Britain. This paper uses NUTS3 sub-regional data for Great Britain to analyse the determinants of spatialvariations in income and productivity.

We decompose the spatial variation of earnings into aproductivity effect and an occupational composition effect. For the Author: Patricia Rice and Anthony J.

Venables. Richard N. Boisvert, Todd M. Schmit, Anita Regmi; Spatial, Productivity, and Environmental Determinants of Farmland Values, American Journal of Agricultural Ec We use cookies to enhance your experience on our continuing to Cited by: Spatial inequality is a dimension of overall inequality, but it has added significance when spatial and regional divisions align with political and ethnic tensions to undermine social and political stability.

This essay examines the contribution of firm spatial selection and agglomeration economies to the regional productivity distributions. From the theoretical model developed in this essay, there are. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): This paper uses NUTS3 sub-regional data for Great Britain to analyse the determinants of spatial variations in income and productivity.

We decompose the spatial variation of earnings into a productivity effect and an occupational composition effect.

For the former (but not the latter) we find a robust relationship. The relationship between farm size and efficiency is found to be non-linear, with efficiency first falling and then rising with size.

Type of land tenure, access to institutions and markets, and modern inputs are found to be important determinants of the differences in efficiency across by:   This article analyses the structural changes in labour productivity in the regions of Spain and Portugal during the period –, by business sector contribution and spatial distribution.

A shift-share empirical analysis was applied to identify the components of aggregate productivity growth and to ascertain the role played by the different : Elías Melchor-Ferrer. Spatial determinants of productivity growth on agri‐food Spanish firms: a comparison between cooperatives and investor‐owned firms Author: Martínez‐Victoria, MCarmen, Maté Sánchez‐Val, Mariluz, Arcas‐Lario, Narciso Source: Agricultural economics v no.2 pp.

ISSN: Subject: cooperatives, food industry, Spain Cited by: 4. Crop Photosynthesis: Spatial and Temporal Determinants (Topics in Photosynthesis Book 12) - Kindle edition by N.

Baker, H. Thomas. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Crop Photosynthesis: Spatial and Temporal Determinants (Topics in Photosynthesis Book 12).

This study explores when, where and how the spatial variations of gross primary productivity (GPP) and water table depth (WTD) are linked at the global scale.

Latest observation-based global datasets, at a relatively high resolution of ~10 km (5 arc-minutes), are used to analyse spatial partial correlations between GPP and WTD. Results indicate that strength, direction, and spatial Author: S. Koirala, M. Jung, I. de Graaf, M. Reichstein, N.

Carvalhais. The productivity of non-farm enterprises in rural Africa may be associated with the productivity of other spatially proximate farm and non-farm enterprises.

To test for the presence and significance of such spatial autocorrelation we use data from the geo-referenced Ethiopian Rural Socioeconomic Survey (ERSS) and the / Nigeria. Agricultural Productivity in Africa: Trends, Patterns, and Determinants presents updated and new analyses of land, labor, and total productivity trends in African agriculture.

It brings together analyses of a unique mix of data sources and evaluations of public policies and development projects to recommend ways to increase agricultural productivity in Africa.

Books. Publishing Support. Login. economies of scale, technology, capital and labour costs, may be stronger determinants of trade patterns than natural resources' endowment or trade-dependence level (see World Trade Organization In the present study water and land productivity is simulated spatial explicitly and in a process-based Cited by: Spatial data used in exploring the spatial patterns of partial productivity in crop production in Africa south of the Sahara Land productivity: Average value of annual crop production ($) per hectare cropland by subregion and farming system – Labor productivity: Average value of annual crop productionFile Size: 5MB.

The study identified the hotspots and coldspots of poverty as well as the determinants of poverty of each identified group. Data were obtained from National Living Standard Survey and Core Welfare Indicators Questionnaire Survey conducted by National Bureau of Statistics.

Spatial econometrics technique was used to analyze data. The result of the analysis identified the hotspots Cited by: 2. In conclusion, by adding a spatial perspective, our study provides one missing piece of the current debate on the global determinants of genetic diversity that Author: Stéphanie Manel, Pierre-Edouard Guerin, David Mouillot, David Mouillot, Simon Blanchet, Laure Velez.1 The spatial distribution of economic activities in the European Union1 Pierre-Philippe Combes2 & Henry G.

Overman3 11th July Abstract: This paper considers the spatial distribution of economic activities in the European Union. It has three main aims.

(i) To describe the data that is available in the EU and give some idea of the rich.