+-METREX Monitoring of the Lisbon Indicators in Metropolitan Regions Interim Report 2 IAURIF / DEDL / Dominique Lecomte 5 September 2007 1
One year after its start at the meeting held in Szczezin on 27th September 2006, this second Interim Report is yet again an opportunity to present the progress made as part of the project referred to as «Monitoring of the Lisbon Indicators in Metropolitan Regions». The following report falls into 4 parts: A Background B Inventory of the indicators and the maps C Positioning of the administrative regions for the 22 selected Lisbon indicators D Further information required A BACKGROUND A.1 Partners involved in the project Twelve metropolitan regions and areas members of METREX have contributed to the project : Athens, Helsinki, Lisbon, Madrid, Oradea, Paris, Porto, Rhein-Neckar, Rome, Stuttgart and Valencia, and these areas were recently joined by Randstad Holland and Barcelona. London expressed an interest in the project but has not, so far, submitted its contribution. A.2 The working group has pursued 2 objectives defined in Szczezin: 2.1 Delivering for each metropolitan region a certain number of Lisbon indicators (22) for the last 10 years (from 1995 to 2005) in relation to 2 geographical areas : the administrative region (in order to meet the requirements of the regional political decision makers) and the functional urban region (in order to ensure, as much as possible, the comparability between the values of the indicators). In order to carry out this project, the partners have committed themselves to collect the statistical data of available databases, to calculate, as much as this is possible, the greatest number of indicators and to define the geographical boundaries of their functional urban region. They must to submit the data, the indicators and the maps showing the geographical boundaries of their administrative region and of their functional urban region to IAURIF and to the other two members of the project steering Committee. 2.2 Organizing exchanges on economic policies implemented in the metropolitan regions A.3 The timeframe of the implementation Initially set to the end of 2006, the deadline for the collection of the basic statistical data and for the delivery of the indicators was postponed to the end of June 2007 on the occasion of the Vicenza Meeting. This was due to the difficulties that most members came across. No timescale was set up for the exchange on economic policies. A.4 An initial working meeting was held in Vicenza on 23 rd May 2007. This was attended by the partners from d Athens, Helsinki, Madrid, Paris, Porto, Rome. An initial interim report, drafted by IAURIF, was presented. This highlighted the following key points : - The data and indicators collected up until then were focused on administrative regions and less often of functional urban regions, with the exception of Rhein- Neckar, Stuttgart and Valencia. In that respect, Paris and Madrid constitute a specific case as the administrative regions of Ile-de-France and Madrid do not differ significantly from their functional urban region. For the majority of regions, many basic 2
data were missing and consequently many indicators could not be calculated (or could not be calculated for each year). - Poverty and environment related indicators, allowing for exceptions, could not be calculated by using European definitions. - In order to take into account the specificities of the metropolitan regions, the definition of labour productivity (as used at the European and national level) had to be amended (the number of people employed counted at the place of work must be used instead of the number of people employed accounted for in their place of residence in the productivity-related calculation. Finally, given the fact that the working group was mostly focused on the comparability of the data and the indicators, it was reminded that each partner had to define the geographical boundaries of its functional urban region in order to be in a position, at least, to measure the significance of the existing discrepancies between the functional urban region and the administrative region in so far as the total population and the total number of jobs of these 2 geographical areas are concerned. In other words, it is necessary to be able to assess whether or not the data and the indicators collected for the administrative region are biased in relation to the socio-economic reality of the metropolitan area. B An Inventory of the indicators and the maps available B.1 Information received since the Vicenza working meeting The following documents have been sent to IAURIF. In June: - New tables for the metropolitan area of Porto - New tables, very partially completed, and related maps for the metropolitan area of Oradea - Study on the functional urban region of Madrid, carried out in 2005 according to various methods. Findings : there is a small difference between the Comunidad de Madrid and the Madrid FUR in terms of its overall population and its total number of jobs. - Tables of data for Barcelona but without any tables featuring the indicators In July and August: - New amended tables and fuller tables for the province of Rome - New data tables for Athens but without any indicators tables - Data tables and indicators for the functional urban region of the Randstad B.2 Indicators The following table presents an inventory of the number of administrative regions for which the value of the 22 selected indicators for the project has been calculated, and so according to several periods. There are 11 administrative regions in total for which indicators have been calculated. Therefore, the ideal would be to only keep the figure 11 throughout the table. As we can see, we are quite far from being in such a position. This observation pointing to the fact that for many large metropolitan administrative regions, notably for that NUTS2 and NUTS3 level, the value of a significant number of Lisbon indicators can not be calculated should be useful in the exchange between METREX and the European leading organizations (DG 16, Eurostat, ESPON, Urban Audit). The 1999 to 2004 or 2005 period is that for which the greatest number of values of indicators is available. 3
The indicators for which the values are rarely available are as follows: - Gross domestic expenditure on R & D as a % of GDP - Business investment (Gross fixed capital formation in the private sector as a % og GDP) - At risk of poverty rate after social transferts - Greenhouse gases emissions - Energy intensity of the economy - Freight transport volume Table 1 Availability of indicators for 11 administrative regions 1995 to 2004 1998 to 2004 1999 to 2004 2000 to 2004 or 2005 or 2005 or 2005 or 2005 Population growth 10 10 10 10 Per capita GDP 8 9 10 9 Real GDP growth 8 8 8 8 Labour productivity 3 4 5 5 Employment growth 6 6 6 6 Employment rate total 4 9 9 9 women 3 7 7 7 men 3 7 7 7 older workers 3 5 6 6 women 2 4 5 5 men 2 4 5 5 Unemployment rate total 5 8 10 10 men 3 5 6 6 women 3 7 10 9 Long term 4 6 6 6 unemployment. Education definition problem R & D 4 3 5 3 Business investment 4 4 4 4 Poverty rate 1 1 1 1 Greenhouse gases 2 2 2 2 emissions Energy intensity of the 1 1 1 1 economy Freight transport volume 1 1 1 1 The partners of Athens and Barcelona have not sent the tables including the values of indicators but just the tables containing the basic statistical data available. The basic statistical data and the values of indicators have been received for 4 functional urban regions i.e. Rhein-Neckar, Stuttgart, Valencia and Randstad. As previously stated, the values of indicators for Paris and Madrid can be used for the functional urban regions of both regions without getting any significantly biased values. 4
For these 6 functional urban regions, we have the most comparable indicators values. (Comparable from a double point of view i.e. spatial and statistical). However, it has not been possible to calculate a significant number of indicators. Table 2 Availability of indicator for functional urban regions 1995 to 2004 1998 to 2004 1999 to 2004 2000 to 2004 or 2005 or 2005 or 2005 or 2005 Population growth 6 6 6 6 Per capita GDP 5 5 5 5 Real GDP growth 6 6 6 6 Labour productivity 1 2 2 2 Employment growth 5 6 6 6 Employment rate total 3 5 6 6 women 2 4 4 4 men 2 4 4 4 older workers 2 2 3 3 women 1 1 2 2 men 1 1 2 2 Unemployment rate total 3 3 4 4 men 2 2 3 3 women 2 2 3 3 Long term 2 2 2 2 unemployment. Education definition problem R & D 3 2 3 2 Business investment 2 2 2 2 Poverty rate 1 1 1 1 Greenhouse gases 1 1 1 1 emissions Energy intensity of the 1 1 1 1 economy Freight transport volume 1 1 1 1 5
Table 3 Existing discrepancies between administrative regions and functional urban regions in terms of total population and total number of jobs Madrid Paris Rhein-Neckar Stuttgart Valence Randstad Administrative region Area Metro. de Madrid NUTS 2 5,964,000 inhab 2,901,000 jobs Ile-de-France region NUTS 2 11,362,000 inhab 5,145,000 jobs Rhein-Neckar Metropolregion 2,360,000 inhab 755,000 jobs Stuttgart region 6 NUTS 3 2,667,000 inhab. 1,029,000 employees AMAV Area Metro. de Valencia 1,478,000 inhab. 620,000 jobs No administrative region Functional Urban Region Madrid FUR 5,650,000 inhab. 2,464,000 jobs Study in 2001 Paris FUR 11,750,000 inhab 4,890,000 jobs Study in 2000 Rhein-Neckar Functional urban agglomeration 1,931,000 inhab 638,000 jobs Stuttgart FUR 3,446,000 inhab. 1,268,000 employees MADD 1,655,000 inhab. 726,000 jobs FUR 4 NUTS3 municipalities 6,659,000 inhab. 3,645,000 jobs Findings small difference between adm. region and FUR (5 to 8%) small difference between adm. region and FUR ( 5 to 6 %) difference between adm. region and FUR : 18 to 22 % difference between adm. region and FUR : 19 to 26 % difference between adm. region and FUR : 10 to 15 % B.3 Maps of administrative regions and functional urban regions A key point of the project is to obtain maps highlighting the geographical boundaries of the metropolitan regions that are at the purpose of the comparisons and to include those in the final report. Up to today, only Madrid and Stuttgart have submitted digitalized maps. 6
C Positioning of the administrative regions for the 22 Lisbon indicators For the 11 regions for which the indicators have been submitted, tables and charts have been prepared for the administrative regions. Let it be noted that Randstad has been included in these documents although it is not an administrative region. C 1 The tables and charts of this report When available, the tables provide for each region the values of the 22 indicators for the years ranging from 1995 to 2005. The average values of the EU25 have also been included in the tables for 1995, 2004 and 2005 in order to be able to position the regions in relation to the one and only reference. Talking about metropolitan regions, the average of the results obtained by a great number of metropolitan regions and areas would be a better reference than the EU 25 1 average. A chart presenting the values of indicators has been carried out on a per region basis. For each region, the 1995 and 2005 values of the 22 indicators have been compared to the EU25 values of 1995 and 2005. We have proceeded in such a way to illustrate the domains for which the results achieved for a given region are higher or lower than the European average on these two dates. The comparison of the positioning of the region on these two dates gives some information on the dynamics developing over the last 10 years. This information is no doubt the most useful one. Clarifications as to the reading of the charts The average values of the EU25 have been represented by the EU=100 vertical line The regional values presented in the chart have been calculated according to the following method: Value of the chart = regional value / EU25*100 value Where available for an indicator of the values of 1995 and 2005 (or 2004 by default), the chart presents the regional positioning on these two dates. Where only one value is available, or where no value is available, only one bar or no bar shows on the chart. The three following indicators: population growth, real GDP growth, total employment growth stand for the 1995=100 basis. For this reason, the regional value for 1995 is not included in the chart (it would be equal to 100, which would not make any sense). Example of a reading The chart for Paris highlights the following points in relation to the average European values: Over the 1995 2005 period: - The regional growth of the population, of the GDP, of the number of jobs was approximately the same as that observed for the EU25. - The GDP per capita and the labour productivity are high but these ratios experience a slight weakening 1 Which would be possible by involving all the metropolitan areas members of METREX 7
- The total employment rate 2, 64.2 %, is close to the European average but the European target of 70.0 % by 2010 seems very high for it to be achieved in the region. The relatively high employment rate amongst women makes up for that of men, which is relatively low. The employment rate of people aged between 55 and 64 (46.0) is quite high, still as a consequence of women at work. It has experienced a strong growth since 1999 (36.9 %). The objective of 50 % by 2010, included in the National Reform Agenda seems achievable for the region. - The region is clearly below the performance level of that of the EU25 as far as the reduction in unemployment rate is concerned (for each indicator ; total rate, men, women and long term) - The R&D investments are quite high (3.2 % of the GDP in 2003) however, we can notice a relative slow-down at the European scale. 2 Population of people in employment aged 15 to 64 / total population of people aged 15 to 64) 8
PARIS (Ile-de-France region) EU25 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 1995 2004 2005 EU target 1 Population growth 100 100,1 100,3 100,6 101,1 101,8 102,5 103,1 103,7 104,4 100 102,2 102,4 2 Per capita GDP in PPS 177 177 178 176 177 178 177 176 175 100 100 100 3 Real GDP growth 100 101,3 103,5 106,3 112,1 117,0 118,4 120,2 122,4 123,8 125,1 100 123,3 125,4 4 Labour productivity 158,3 158,8 161,5 160,6 159,0 159,2 160,4 160,4 154,7 153,1 100 100 100 5 Total employment growth 100 100,0 100,6 102,4 105,4 108,1 109,0 108,7 107,6 107,7 100 108,9 109,9 6 Total employment rate 63,8 63,1 63,3 63,9 65,0 66,6 66,4 64,5 64,7 64,2 60,0 63,3 63,8 70,0 7 58,6 57,7 58,6 59,3 60,4 61,6 61,7 60,5 60,2 59,1 50,0 55,7 56,3 8 69,3 68,5 68,1 68,6 69,7 71,8 71,2 68,6 69,4 69,6 70,1 70,9 71,3 9 Employment rate of older workers 36,9 38,6 40,2 42,9 46,4 46,6 46,0 35,3 41,0 42,5 10 34,0 35,2 35,3 38,3 42,2 41,6 40,8 24,7 31,7 33,7 11 39,8 42,1 44,9 47,3 50,8 52,0 51,6 46,6 50,7 51,8 12 Total unemployment rate 10,0 10,5 10,6 10,3 9,9 8,5 7,6 8,1 9,2 9,3 9,5 10,1 9,0 8,7 13 9,5 10,3 10,5 10,0 9,5 8,1 7,0 8,4 9,8 9,6 8,9 8,7 8,1 7,9 14 11,0 11,1 11,3 11,0 10,6 9,4 8,5 7,9 8,5 9,0 10,0 11,8 10,2 9,8 15 Long term unemployment 4,2 4,2 4,3 4,2 4,1 3,4 3,1 2,7 3,8 4,1 4,2 5,0 4,1 3,9 16 Higher education graduates 17 Gross domestic expenditure on R & D 3,37 3,24 3,43 3,36 3,47 3,28 3,33 3,32 3,20 1,8 1,9 1,9 3,0 18 Business investment 14,3 13,8 13,5 14,5 15,0 15,3 14,2 18,9 17,2 17,1 17,5 At risk of poverty rate after social 19 transferts 8,1 17,0 16,0 16,0 20 Greenhouse gases emissions 92,1 92,7 21 Energy intensity of the economy 230,4 204,9 22 Freight transport volume 100,0 104,0 104,6 9
PARIS UE 25 = 100 Population grow th Per capita GDP in PPS Real GDP grow th Labour productiv ity Total employ ment grow th Total employ ment rate Employ ment rate of older w orkers Total unemploy ment rate Long term unemploy ment Higher education graduates Gross domestic ex penditure on R & D * Business investment At risk of pov erty rate after social transferts Greenhouse gases emissions Energy intensity of the economy Freight transport v olume 1995 2004 2005 0 20 40 60 80 100 120 140 160 180 200 * 2003 10
HELSINKI (Helsingin kaupunkiseutu) 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 1995 2004 2005 EU25 EU Target 1 Population growth 100 101,5 103,0 104,5 105,9 107,1 108,3 109,2 110,0 110,7 111,67 100 102,2 102,4 2 Per capita GDP in PPS 151 161 165 169 171 167 160 161 100 100 100 3 Real GDP growth 100 100,0 114,2 125,8 137,2 146,7 149,1 152,5 156,5 100 123,3 125,4 4 Labour productivity 100 100 100 5 Total employment growth 100 100 108,9 109,9 6 Total employment rate 65,3 68,7 70,1 71,6 71,6 70,9 70,4 70,2 60,0 63,3 63,8 70,0 7 50,0 55,7 56,3 8 70,1 70,9 71,3 9 Employment rate of older workers 35,3 41,0 42,5 10 24,7 31,7 33,7 11 46,6 50,7 51,8 12 Total unemployment rate 16,0 14,8 12,1 9,8 8,7 7,3 7,4 7,7 8,2 8,2 10,1 9,0 8,7 13 8,7 8,1 7,9 14 11,8 10,2 9,8 15 Long term unemployment 5,7 5,2 4,5 3,7 2,9 2,4 2,2 2,2 2,2 2,4 5,0 4,1 3,9 16 Higher education graduates 31,2 31,7 32,2 32,6 33,0 33,4 33,7 17 Gross domestic expenditure on R & D 5,0 1,8 1,9 1,9 3,0 18 Business investment 21,0 20,7 20,5 20,3 19,7 19,8 17,2 17,1 17,5 19 At risk of poverty rate after social transferts 17,0 16,0 16,0 20 Greenhouse gases emissions 92,1 92,7 21 Energy intensity of the economy 230,4 204,9 22 Freight transport volume 100,0 104,0 104,6 11
UE 25 = 100 HELSINKI Population grow th Per capita GDP in PPS Real GDP grow th Labour productiv ity Total employ ment grow th Total employ ment rate Employ ment rate of older w orkers Total unemploy ment rate Long term unemploy ment Higher education graduates Gross domestic ex penditure on R & D Business investment At risk of poverty rate after social transferts Greenhouse gases emissions Energy intensity of the economy Freight transport v olume 0 20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 1995 2004 2005 12
LISBON (Area metropolitana de Lisboa) 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 1995 2004 2005 EU target 1 Population growth 100,0 100,3 100,7 101,1 101,7 102,4 103,3 104,4 105,4 106,18 106,9 100,0 102,2 102,4 2 Per capita GDP in PPS 106,6 106,0 109,3 112,5 115,6 116,0 115,3 113,5 104,3 105,80 100,0 100,0 100,0 3 Real GDP growth 100 103 109 116 120 126 128 128 127 128 100 123 125 4 Labour productivity 100,0 100,0 100,0 5 Total employment growth 100,0 96,9 99,3 102,7 102,7 105,2 113,2 115,5 114,0 120,2 100,0 108,9 109,9 6 Total employment rate 65,6 66,5 67,5 68,8 67,6 67,0 67,0 66,8 60,0 63,3 63,8 70 7 72,6 72,2 72,8 74,0 73,1 72,0 71,6 71,0 50 55,7 56,3 8 58,8 61,1 62,4 63,8 62,3 62,1 62,6 62,7 70,1 70,9 71,3 9 Employment rate of older workers 45,3 45,7 45,1 45,2 46,6 47,5 45,1 45,1 35,3 41,0 42,5 10 56,1 52,3 53,3 56,2 57,9 56,8 52,0 50,2 24,7 31,7 33,7 11 35,6 39,8 37,6 35,2 36,5 39,2 38,9 40,5 46,6 50,7 51,8 12 Total unemployment rate 10,1 9,0 8,7 13 5,2 6,1 4,9 4,3 6,1 7,8 7,2 8,4 8,7 8,1 7,9 14 7,1 5,8 5,8 6,0 7,5 8,6 8,1 8,8 11,8 10,2 9,8 15 Long term unemployment 2,7 2,1 2,2 2,1 2,5 2,9 3,3 3,9 5,0 4,1 3,9 EU25 16 Higher education graduates 14,0 14,7 14,9 15,4 15,8 19,0 20,5 21,0 17 Gross domestic expenditure on R & D 1,1 1,8 1,9 1,9 3 18 Business investment 17,2 17,1 17,5 At risk of poverty rate after social 19 transferts 17,0 16,0 16,0 20 Greenhouse gases emissions 92,1 92,7 21 Energy intensity of the economy 230,4 204,9 22 Freight transport volume 100,0 104,0 104,6 13
LISBON UE 25 = 100 Population grow th Per capita GDP in PPS Real GDP grow th Labour productiv ity Total employ ment grow th Total employ ment rate Employ ment rate of older w orkers Total unemploy ment rate Long term unemploy ment Higher education graduates Gross domestic ex penditure on R & D* Business investment At risk of pov erty rate after social transferts Greenhouse gases emissions Energy intensity of the economy Freight transport v olume 1995 2004 2005 0 20 40 60 80 100 120 140 160 180 200 * 2003 14
MADRID (Comunidad de Madrid) EU25 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 1995 2004 2005 1 Population growth 100,0 96,9 98,3 99,3 100,5 103,7 106,7 110,4 112,0 115,10 100,0 102,2 102,4 EU target 2 Per capita GDP in PPS 114.7 114.6 114.9 118.8 122.6 125.2 126.0 127.1 128.8 132,10 100,0 100,0 100,0 3 Real GDP growth 100,0 100,9 108,8 116,4 121,1 134,0 139,6 143,6 147,5 151,8 157,6 100,0 123,3 125,4 4 Labour productivity 100,0 100,0 100,0 5 Total employment growth 100,0 104,1 108,0 114,2 124,3 132,0 141,5 146,9 152,2 160,0 168,9 100 108,9 109,9 6 Total employment rate 54,2 54,3 55,4 56,9 60,2 62,3 65,0 66,4 67,5 68,8 69,6 60 63,3 63,8 70,0 7 46,2 46,1 47,1 48,5 51,7 53,7 56,3 57,7 58,6 59,8 60,4 50,0 55,7 56,3 8 64,7 64,6 65,6 67,0 70,2 72,2 74,8 76,2 77,1 78,3 79,0 70,1 70,9 71,3 9 Employment rate of older workers 34,2 34,7 35,7 36,4 37,2 40,2 43,0 43,4 43,0 45,2 47,2 35,3 41,0 42,5 10 24,7 31,7 33,7 11 46,6 50,7 51,8 12 Total unemployment rate 20,5 20,2 18,0 16,8 12,9 11,6 7,6 7,3 7,4 6,7 6,8 10,1 9,0 8,7 13 16,5 16,3 14,4 12,6 9,1 7,9 5,5 4,9 5,3 5,5 6,1 8,7 8,1 7,9 14 26,6 26,2 23,4 22,9 18,4 16,7 10,6 10,5 10,1 8,3 7,7 11,8 10,2 9,8 15 Long term unemployment 12,8 12,2 10,8 10,0 6,9 5,8 3,2 3,0 2,7 2,3 1,6 5,0 4,1 3,9 16 Higher education graduates Gross domestic expenditure on 17 R & D 1,6 1,6 1,6 1,6 1,6 1,7 1,7 1,9 1,8 1,8 1,8 1,8 1,9 1,9 3,0 18 Business investment 24,0 23,2 22,9 23,9 17,2 17,1 17,5 19 At risk of poverty rate after social transferts 17,0 16,0 20 Greenhouse gases emissions 100,0 104,2 109,6 119,2 127,1 131,9 142,5 144,7 150,9 157,4 92,1 92,7 21 Energy intensity of the economy 100,0 101,6 98,7 100,9 103,1 102,8 104,4 105,4 106,4 107,4 230,4 204,9 22 Freight transport volume 100,00 91,95 95,18 102,31 104,23 115,82 117,19 138,67 141,5 160,6 100,0 104,0 104,6 16,0 15
MADRID UE 25 = 100 Population grow th Per capita GDP in PPS Real GDP grow th Labour productiv ity Total employ ment grow th Total employ ment rate Employ ment rate of older w orkers Total unemploy ment rate Long term unemploy ment Higher education graduates Gross domestic ex penditure on R & D* Business investment At risk of pov erty rate after social transferts Greenhouse gases emissions Energy intensity of the economy Freight transport v olume 1995 2004 2005 0 20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 16
ORADEA (Metropolitan Area) EU25 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 1995 2004 2005 EU target 1 Population growth 100,0 102,2 102,4 2 Per capita GDP in PPS 27,0 37,50 100,0 100,0 100,0 3 Real GDP growth 100,0 123,3 125,4 4 Labour productivity 100,0 100,0 100,0 5 Total employment growth 100,0 108,9 109,9 6 Total employment rate 61,1 66,0 66,6 66,5 66,5 66,7 60,0 63,3 63,8 70,0 7 50,0 55,7 56,3 8 70,1 70,9 71,3 9 Employment rate of older workers 35,3 41,0 42,5 10 24,7 31,7 33,7 11 46,6 50,7 51,8 12 Total unemployment rate 7,0 4,6 3,1 3,2 2,5 2,1 2,7 10,1 9,0 8,7 13 9,1 7,4 7,6 5,7 4,5 8,7 8,1 7,9 14 6,4 4,2 3,6 2,9 2,5 2,1 1,7 11,8 10,2 9,8 15 Long term unemployment 4,5 4,3 4,7 4,0 5,0 4,1 3,9 16 Higher education graduates 18,5 17 Gross domestic expenditure on R & D 0,2 1,8 1,9 1,9 3,0 18 Business investment 17,2 17,1 17,5 19 At risk of poverty rate after social transferts 17,0 16,0 16,0 20 Greenhouse gases emissions 92,1 92,7 21 Energy intensity of the economy 230,4 204,9 22 Freight transport volume 100,0 104,0 104,6 17
ORADEA UE 25 = 100 Population grow th Per capita GDP in PPS Real GDP grow th Labour productiv ity Total employ ment grow th Total employ ment rate Employ ment rate of older w orkers Total unemploy ment rate Long term unemploy ment Higher education graduates Gross domestic ex penditure on R & D Business investment At risk of pov erty rate after social transferts Greenhouse gases emissions Energy intensity of the economy Freight transport v olume 1995 2004 2005 0 20 40 60 80 100 120 140 160 180 200 18
PORTO (Metropolana Area de Porto) EU25 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 1995 2004 2005 EU target 1 Population growth 100,0 100,4 100,9 101,3 101,8 102,5 103,1 103,8 104,4 104,8 105,1 100,0 102,2 102,4 2 Per capita GDP in PPS 63,8 63,5 63,4 64,2 65,6 64,6 63,8 63,5 57,4 100,0 100,0 100,0 3 Real GDP growth 100,0 123,3 125,4 4 Labour productivity 100,0 100,0 100,0 5 Total employment growth 100,0 101,2 102,8 105,7 105,1 103,9 103,9 104,1 100 108,9 109,9 6 Total employment rate 67,0 67,3 67,8 69,0 68,3 66,9 66,2 65,9 60 63,3 63,8 70,0 7 76,5 76,2 76,7 77,2 76,4 74,3 72,9 72,3 50,0 55,7 56,3 8 57,9 58,7 59,2 61,0 60,4 59,7 59,7 59,6 70,1 70,9 71,3 9 Employment rate of older workers 46,7 48,0 48,6 47,5 47,7 47,5 46,7 47,1 35,3 41,0 42,5 10 61,7 62,1 61,6 58,9 58,6 59,0 55,0 54,5 24,7 31,7 33,7 11 33,7 35,9 37,4 37,6 38,2 37,5 39,5 40,6 46,6 50,7 51,8 12 Total unemployment rate 4,9 4,4 4,1 3,7 4,9 6,8 7,7 8,8 10,1 9,0 8,7 13 4,0 3,8 3,4 3,0 4,1 5,8 6,9 7,5 8,7 8,1 7,9 14 6,1 5,1 5,0 4,6 5,8 8,0 8,6 10,4 11,8 10,2 9,8 15 Long term unemployment 2,2 1,8 1,8 1,6 1,8 2,4 3,6 4,6 5,0 4,1 3,9 16 Higher education graduates 6,8 7,0 7,3 7,9 7,6 8,6 9,9 10,3 17 Gross domestic expenditure on R & D 0,7 1,8 1,9 1,9 3,0 18 Business investment 17,2 17,1 17,5 19 At risk of poverty rate after social transferts 17,0 16,0 20 Greenhouse gases emissions 92,1 92,7 16,0 21 Energy intensity of the economy 230,4 204,9 22 Freight transport volume 100,0 104,0 104,6 19
PORTO UE 25 = 100 Population grow th Per capita GDP in PPS Real GDP grow th Labour productiv ity Total employ ment grow th Total employ ment rate Employ ment rate of older w orkers Total unemploy ment rate Long term unemploy ment Higher education graduates Gross domestic ex penditure on R & D* Business investment At risk of pov erty rate after social transferts Greenhouse gases emissions Energy intensity of the economy 1995 2004 2005 Freight transport v olume 0 20 40 60 80 100 120 140 160 180 200 * 2003 20
RHEIN-NECKAR (Metropolregion) EU25 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 1995 2004 2005 1 Population growth 100,0 100,5 100,7 100,7 101,0 101,1 101,6 102,0 102,1 102,23 102,3 100,0 102,2 102,4 EU Target 2 Per capita GDP in PPS 100,0 100,0 100,0 3 Real GDP growth 100,0 102,7 107,1 108,6 110,5 113,5 115,3 117,5 116,7 119,5 100,0 123,3 125,4 4 Labour productivity 100,0 100,0 100,0 5 Total employment growth 100,0 98,0 97,5 98,7 100,4 100,9 100,9 99,2 97,9 97,0 100 108,9 109,9 6 Total employment rate 60 63,3 63,8 70 7 50,0 55,7 56,3 8 70,1 70,9 71,3 9 Employment rate of older workers 35,3 41,0 42,5 10 24,7 31,7 33,7 11 46,6 50,7 51,8 12 Total unemployment rate 8,5 8,1 7,1 6,6 6,9 7,5 7,6 8,7 10,1 9,0 8,7 13 8,7 8,1 7,9 14 9,4 9,1 7,9 7,3 7,3 7,6 7,8 9,5 11,8 10,2 9,8 15 Long term unemployment 5,0 4,1 3,9 16 Higher education graduates 17 Gross domestic expenditure on R & D 1,8 1,9 1,9 3 18 Business investment 17,2 17,1 17,5 19 At risk of poverty rate after social transferts 17,0 16,0 16,0 20 Greenhouse gases emissions 92,1 92,7 21 Energy intensity of the economy 230,4 204,9 22 Freight transport volume 100,0 104,0 104,6 21
RHEIN-NECKAR UE 25 = 100 Population grow th Per capita GDP in PPS Real GDP grow th Labour productiv ity Total employ ment grow th Total employ ment rate Employ ment rate of older w orkers Total unemploy ment rate Long term unemploy ment Higher education graduates Gross domestic ex penditure on R & D Business investment At risk of pov erty rate after social transferts Greenhouse gases emissions Energy intensity of the economy Freight transport v olume 1995 2004 2005 0 20 40 60 80 100 120 140 160 180 200 22
ROMA (Province) EU25 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 1995 2004 2005 1 Population growth 100,0 99,7 99,5 99,2 99,0 99,0 98,9 99,5 100,4 101,73 102,4 100,0 102,2 102,4 EU Target 2 Per capita GDP in PPS 148,4 146,2 143,5 148,1 146,0 150,3 149,6 148,5 140,7 142,40 100,0 100,0 100,0 3 Real GDP growth 100,0 123,3 125,4 4 Labour productivity 132,9 129,7 129,0 133,5 130,1 132,4 131,8 126,0 114,2 100,0 100,0 100,0 5 Total employment growth 100,0 100,9 100,8 102,2 104,7 107,2 108,6 113,3 115,2 100 108,9 109,9 6 Total employment rate 49,6 50,4 50,8 51,8 53,5 55,1 56,6 58,2 59,0 59,7 59,8 60 63,3 63,8 70,0 7 34,9 36,5 36,5 37,1 39,2 41,3 43,5 45,0 45,7 49,7 51,1 50,0 55,7 56,3 8 64,9 64,9 65,8 67,1 68,5 69,5 70,4 72,2 73,0 70,4 69,0 70,1 70,9 71,3 9 Employment rate of older workers 43,7 42,6 43,7 43,6 42,2 43,5 43,2 44,7 46,3 37,0 37,6 35,3 41,0 42,5 10 22,8 22,9 23,7 23,5 22,9 25,6 24,3 26,8 28,4 25,9 28,5 24,7 31,7 33,7 11 67,1 64,7 66,2 66,3 64,0 63,8 64,8 65,4 66,9 49,9 48,2 46,6 50,7 51,8 12 Total unemployment rate 7,1 7,1 6,8 6,9 7,2 7,0 6,4 5,1 5,2 4,9 4,8 10,1 9,0 8,7 13 3,5 3,6 3,4 3,4 3,5 3,3 3,1 2,4 2,5 2,2 2,3 8,7 8,1 7,9 14 7,1 6,8 6,8 6,9 7,1 7,2 6,3 5,2 5,4 5,3 4,8 11,8 10,2 9,8 15 Long term unemployment 4,2 4,5 4,3 4,5 4,9 4,9 4,7 3,5 3,5 1,9 2,0 5,0 4,1 3,9 16 Higher education graduates 15,1 Gross domestic expenditure 1,3 1,3 1,3 1,4 1,4 1,4 1,7 1,7 1,7 1,0 17 on R & D 1,8 1,9 1,9 3,0 18 Business investment 0,6 0,7 0,7 0,6 0,6 0,6 0,4 0,4 0,4 17,2 17,1 17,5 19 At risk of poverty rate after social transferts 17,0 16,0 16,0 20 Greenhouse gases emissions 68,4 92,1 92,7 21 Energy intensity of the economy 230,4 204,9 22 Freight transport volume 100,0 104,0 104,6 23
ROMA UE 25 = 100 Population grow th Per capita GDP in PPS Real GDP grow th Labour productiv ity Total employ ment grow th* Total employ ment rate Employ ment rate of older w orkers Total unemploy ment rate Long term unemploy ment Higher education graduates Gross domestic ex penditure on R & D Business investment At risk of pov erty rate after social transferts Greenhouse gases emissions Energy intensity of the economy Freight transport v olume 1995 2004 2005 0 20 40 60 80 100 120 140 160 180 200 * 2003 24
STUTTGART (Verband region Stuttgart) EU25 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 1995 2004 2005 EU target 1 Population growth 100,0 100,4 100,6 100,8 101,3 101,8 102,6 103,2 103,5 103,8 103,9 100,0 102,2 102,4 2 Per capita GDP in PPS 155,0 152,8 152,8 148,0 147,3 143,2 145,1 141,9 148,2 145,4 100,0 100,0 100,0 3 Real GDP growth 100,0 101,9 105,9 107,5 111,7 112,2 118,2 119,9 123,2 124,3 100,0 123,3 125,4 4 Labour productivity 124,2 126,2 119,7 120,9 119,2 126,5 125,5 100,0 100,0 100,0 5 Total employment growth 100,0 98,8 98,0 98,1 99,2 101,5 103,0 103,4 101,6 100,0 98,9 100 108,9 109,9 6 Total employment rate 58,2 57,5 57,0 57,1 57,7 59,0 59,7 59,7 58,8 58,1 57,7 60 63,3 63,8 70,0 7 49,7 49,0 48,4 48,1 48,4 49,6 50,3 50,7 50,0 49,3 49,4 50,0 55,7 56,3 8 66,4 65,6 65,4 65,8 66,6 68,2 68,8 68,6 67,4 66,6 65,8 70,1 70,9 71,3 9 Employment rate of older workers 35,6 35,3 35,1 34,2 34,4 35,2 34,8 35,2 35,7 36,9 38,4 35,3 41,0 42,5 10 27,4 27,4 27,0 26,0 25,8 26,1 25,7 26,4 27,3 28,7 30,6 24,7 31,7 33,7 11 43,7 43,0 43,1 42,3 43,0 44,3 43,9 44,1 44,1 45,1 46,3 46,6 50,7 51,8 12 Total unemployment rate 6,7 6,0 4,9 4,4 4,9 5,5 5,6 6,8 10,1 9,0 8,7 13 8,7 8,1 7,9 14 7,3 6,7 5,5 4,9 5,2 5,9 6,0 7,8 11,8 10,2 9,8 15 Long term unemployment 5,0 4,1 3,9 16 Higher education graduates Gross domestic expenditure on 17 R & D 5,1 5,6 6,1 6,1 5,5 1,8 1,9 1,9 3,0 18 Business investment 16,4 16,7 15,7 16,0 17,5 17,9 18,6 18,1 17,4 17,2 17,1 17,5 19 At risk of poverty rate after social transferts 17,0 16,0 16,0 20 Greenhouse gases emissions 100,0 104,3 102,2 102,9 104,9 104,8 109,1 104,9 92,1 92,7 21 Energy intensity of the economy 230,4 204,9 22 Freight transport volume 100,0 104,0 104,6 25
STUTTGART UE 25 = 100 Population grow th Per capita GDP in PPS Real GDP grow th Labour productiv ity Total employ ment grow th Total employ ment rate Employ ment rate of older w orkers Total unemploy ment rate Long term unemploy ment Higher education graduates Gross domestic ex penditure on R & D* Business investment At risk of pov erty rate after social transferts Greenhouse gases emissions Energy intensity of the economy Freight transport v olume 1995 2004 2005 0 20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 * 2003 26
VALENCIA (Area Metropolitana Administrativa de Valencia) EU25 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 1995 2004 2005 EU target 1 Population growth 100,0 98,4 98,2 98,8 99,2 100,3 102,3 104,8 106,32 108,4 100,0 102,2 102,4 2 Per capita GDP in PPS 82,9 84,8 89,3 91,8 94,6 96,9 99,0 1001,0 102,10 103,7 100,0 100,0 100,0 3 Real GDP growth 100,0 101,6 107,5 112,9 119,4 125,2 129,1 132,0 134,7 136,8 139,6 100,0 123,3 125,4 4 Labour productivity 1,3 1,2 1,2 1,1 1,2 1,1 100,0 100,0 100,0 5 Total employment growth 100,0 100 108,9 109,9 6 Total employment rate 51,0 55,3 58,2 60,2 60,6 61,4 62,9 60 63,3 63,8 70,0 7 36,0 40,3 32,8 46,0 46,3 49,3 50,7 50,0 55,7 56,3 8 66,1 69,6 70,9 72,1 72,0 71,9 72,3 70,1 70,9 71,3 9 Employment rate of older workers 35,3 41,0 42,5 10 24,7 31,7 33,7 11 46,6 50,7 51,8 12 Total unemployment rate 10,9 9,1 8,4 8,1 7,9 8,1 10,1 9,0 8,7 13 7,5 6,1 5,6 5,7 5,8 6,0 8,7 8,1 7,9 14 16,3 17,3 12,4 11,5 10,8 10,8 11,8 10,2 9,8 15 Long term unemployment 5,0 4,1 3,9 16 Higher education graduates 17 Gross domestic expenditure on R & D 1,8 1,9 1,9 3,0 18 Business investment 17,2 17,1 17,5 19 At risk of poverty rate after social transferts 17,0 16,0 16,0 20 Greenhouse gases emissions 92,1 92,7 21 Energy intensity of the economy 230,4 204,9 22 Freight transport volume 100,0 104,0 104,6 27
UE 25 = 100 VALENCIA Population grow th Per capita GDP in PPS Real GDP grow th Labour productiv ity Total employ ment grow th Total employ ment rate Employ ment rate of older w orkers Total unemploy ment rate Long term unemploy ment Higher education graduates Gross domestic ex penditure on R & D* Business investment At risk of pov erty rate after social transferts Greenhouse gases emissions Energy intensity of the economy Freight transport v olume 0 20 40 60 80 100 120 140 160 180 200 1995 2004 2005 28
RANDSTAD (Functional urban region) EU25 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 1995 2004 2005 EU target 1 Population growth 100,0 100,4 100,9 101,6 102,4 103,2 104,0 104,8 105,4 105,9 106,3 100,0 102,2 102,4 2 Per capita GDP in PPS 125,6 128,6 136,3 137,8 137,8 139,0 142,2 141,8 141,3 142,5 100,0 100,0 100,0 3 Real GDP growth 100,0 103,2 108,7 113,7 119,6 123,9 126,2 127,8 128,4 131,4 133,8 100,0 123,3 125,4 4 Labour productivity 61,1 61,5 62,5 63,4 65,0 66,1 66,3 67,5 68,8 71,0 72,5 100,0 100,0 100,0 5 Total employment growth 100,0 102,0 105,9 109,0 111,7 114,2 116,5 116,6 115,0 113,9 113,8 100 108,9 109,9 6 Total employment rate 59,4 60,2 61,8 63,5 65,2 65,8 66,5 65,8 65,4 64,6 64,0 60 63,3 63,8 70,0 7 50,0 55,7 56,3 8 70,1 70,9 71,3 9 Employment rate of older workers 45,8 35,3 41,0 42,5 10 24,7 31,7 33,7 11 46,6 50,7 51,8 12 Total unemployment rate 8,0 7,4 6,6 5,0 4,0 3,9 3,3 4,1 5,5 6,3 6,6 10,1 9,0 8,7 13 8,7 8,1 7,9 14 1,5 0,8 1,0 1,5 11,8 10,2 9,8 15 Long term unemployment 5,0 4,1 3,9 16 Higher education graduates Gross domestic expenditure on 17 R & D 2,1 1,9 1,7 1,8 1,9 1,9 3,0 18 Business investment 20,6 20,8 21,8 22,0 22,9 22,1 21,7 19,5 19,8 19,5 19,8 17,2 17,1 17,5 19 At risk of poverty rate after social transferts 24,0 24,0 23,0 21,0 21,0 22,0 22,0 22,0 23,0 17,0 16,0 16,0 20 Greenhouse gases emissions 92,1 92,7 21 Energy intensity of the economy 230,4 204,9 22 Freight transport volume 100,0 104,0 104,6 29
UE 25 = 100 RANDSTAD Population grow th Per capita GDP in PPS Real GDP grow th Labour productiv ity Total employ ment grow th Total employ ment rate Employ ment rate of older w orkers Total unemploy ment rate Long term unemploy ment Higher education graduates Gross domestic ex penditure on R & D* Business investment At risk of pov erty rate after social transferts Greenhouse gases emissions Energy intensity of the economy Freight transport v olume 0 20 40 60 80 100 120 140 160 180 200 1995 2004 2005 30
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D Further information required In order to draft the final report, further information is required. All partners are requested to submit these by 30 th September. D.1 - Tables of indicators The 2 indicators must be checked or calculated by all partners according to the following definitions: Labour productivity : GDP in PPS per person employed counted at the place of work (UE=100). Persons employed cover employees and self-employed. Youth education attainment level : % of young people aged 20-24 years having attained at least upper secondary education attainment level. Porto: The values of indicators relating to the population, employment and population seem to be inconsistent. Please check these and their consistency between each other. D 2- Maps Partners who have not yet submitted the digitalized map of the geographical boundaries of their administrative region are requested to do so ((Athens, Helsinki, Lisbon, Porto, Rome, Stuttgart, Valencia, Barcelona). Same goes for partners who have not sent the digitalized map of the functional urban region (Valencia, Neckar, Randstad) Partners who have defined their functional urban region are requested to submit a short text clarifying the general method used (half a page?): Valencia, Rhein-Neckar, Madrid, Stuttgart. 32