Disposable income in rural areas

Slides:



Advertisements
Similar presentations
Social economic developments in rural Europe Arie Oskam (Professor Emeritus Agricultural Economics and Rural Policy, Wageningen University) European Heritage.
Advertisements

MANAGEMENT AND IMPLEMENTATION OF PROJECTS: BEST PRACTICES COOPERATING IN SOUTH WEST EUROPE 12th of October 2005.
Part I – Rural Development Statistics Handbook Chapter III Eurostat’s views.
Pierre Montagnier, OECD
Meeting of the National Urban Audit Co-Ordinators, May 2017
Task force on statistical units: survey of current practices
Eurostat regional yearbook 2012 and the Statistical Atlas
Document E4/URBAN/2001/6_EN
NUTS levels below level 3
Labour Market Statistics
Maritime and rural development statistics
Presenting a harmonised city definition and its application
Working Group on regional, urban and rural development statistics
RegIonaL INDICATORS ON RURAL DEVELOPMENT EC-Eurostat Working Group on Regional, Urban and Rural development statistics Eric Gonnard, statistician OECD.
The future of the Urban Audit
Amendment to the NUTS Regulation Oliver Heiden Eurostat.E4
Regional Disparity Measures in Labour Markets
Working Group on regional, urban and rural development statistics
Work Program 2005
Meeting of the National Urban Audit Co-Ordinators, May 2017
Demography, GISCO and Regional Statistics
The European Statistical System
State of play of labour market and other domains of regional statistics Items 4.2 and 4.3 of the agenda Gorja Bartsch Eurostat Unit E4.
Regional Policy developments
Legal framework of territorial classifications and typologies for European statistics – state of play NUAC meeting, Brussels June 2015 Gorja Bartsch.
Working Party on Regional Statistics 1-2 October 2012
Objectives for Regional and Urban statistics
EWRC 2016 – Cohesion policy at work: past and future
Spatial data needs in EU Regional Policy
Disseminating regional and urban statistics
LAMAS Working Group 7-8 December 2016
New mandate for the Working Group
Regional Accounts CONTRACTOR IS ACTING UNDER A FRAMEWORK CONTRACT CONCLUDED WITH THE COMMISSION.
Work Program 2004 Regional and Urban Statistics
LAU and SIRE Agenda: 5.3; Document 11
1 – To update figures on economic and social disparities;
New Regional Indicators
Cohesion Policy, using geospatial information and statistics
REGIONAL COMPETITIVENESS: COMPARATIVE ADVANTAGES AND UNUSED RESOURCES by Vincenzo Spiezia OECD – Territorial Statistics and Indicators Regional and Urban.
Rural development statistics
Urban Audit – state of play
Implementation of the Revised "Degree of Urbanisation" Classification
Rural Urban classification based on Grids following OECD Definition
Our Work Program – Achievements 2006 and Plans for 2007
Labour Market Statistics
LAMAS Working Group December 2013
European Regional and Urban Statistics
United Nations Statistics Division
The Current Situation of Urban Statistics
Results of the user and partner survey on Regional Statistics
TG EHIS January 2012 Item 4.1 of the agenda EHIS wave 2 Implementing Regulation Bart De Norre, Eurostat.
Maritime statistics Item 9 of the agenda
Working Group on regional, urban and rural development statistics
Policy needs for rural development statistics and data analysis
6.3 Tercet Oliver MUELLER Eurostat E.4
Regions: Statistical yearbook The 2005 edition
Meeting of the Management Group on Statistical Co-operation
Presenting a harmonised city definition and its application
The thorough revision of the Urban Audit project
Supply of historic data in case of a NUTS change
Local Administrative Units
Collection and dissemination of data geo-referenced to a 1km² grid Item 3.2 of the draft agenda DSS Meeting 1 and 2 March 2018.
A new urban-rural typology, developed using grid data
Results from Task Force on Poverty Measurements Point 7 of the Agenda
The method of harmonised Labour Market Areas in Europe
Eurostat regional yearbook 2010
The Choice of Spatial Units
Item 2. Latest developments as regards the population and housing census round 2021 in the ESS  Luis del Barrio Enlargement, neighbourhood.
Eurostat and its activities A. Näslund, Head of Unit A2
Item 4.1: Annual labour market flows
Presentation transcript:

Disposable income in rural areas berthold.feldmann@cec.eu.int

Structure of my talk The algorithm Data request Next steps

AIM OF THIS TALK: Launch a discussion about a new project of collection variables for rural areas Explain the approach used for that project

Chapter 1 The algorithm

Definition of rural areas The Commission has as one of its key roles the target of reducing disparities in the EU, including rural areas (Article 158 of the Treaty) So far no harmonised approach for defining rural areas exists Many different approaches in the Member States A European approach should be simple and applicable It should be applied at NUTS level 3 regions

The OECD algorithm One single criterion: population density above or below 150 inhabitants per km2 If below  “rural” Three types of regions Mainly rural regions: more than 50% of the population lives in “rural” communes (LAU-2) Relatively rural regions: 15% - 50% of the population lives in “rural” communes (LAU-2) Urban regions: <15% lives in LAU-2

The results Eurostat did the necessary calculations using LAU-2 information (area and population necessary) The results seem quite plausible

Advantages and disadvantages Positive Comparable results across Europe Simple algorithm, based on one single criterion Robust over time Negative Assumption that LAU-2 communes have a comparable size across Europe This is not always the case

Chapter 2 The data request

Disposable income (Regional Accounts) No data request for individual NUTS level 3 regions Data request for all NUTS 3 regions of one type aggregated Hence 3 figures required: A value for the rural areas of the country A value for the relatively rural areas A value for the urban areas

Chapter 3 Next steps

The future Cooperation project with unit E3 (“rural development”) of Eurostat Unit E3 will have a task force meeting in December and a Working Party meeting in March 2005 Further statistics to be collected following this approach: employment, migration, education, tourism, poverty, transport infrastructure etc.

Thanks for listening ! Any Questions ?