Task Force on Establishment of European set of Labour ... · 10 AVEIRO Intermediate 2,9 37,5 59,6...
Transcript of Task Force on Establishment of European set of Labour ... · 10 AVEIRO Intermediate 2,9 37,5 59,6...
Unit for the Coordination of Territorial Statistics
August 2018
Task Force on Establishment of European set of Labour Market Areas
Preliminary Analysis and Results
Overview
3 | Regional Urban-Rural Typology Matrixes
2 | Statistics and Analysis on Regional Urban-Rural Typology
4 | Sensitive Analysis
1 | Final LMA Geography and comparison with other geographies
5 | Main findings
Goals
• Study the urban-rural linkages considering the Regional Urban-Rural Typology • Set a framework of study areas based on the preliminary analysis and types of territories • Investigate the use of different parameters to define LMA depending on the types of territories through sensitive and comparability analysis • Evaluate a set of metropolitan and non-metropolitan parameters
0 50 km
LAU 1
Territorial Limits
NUTS III
EU LMA(e.g. Faro)
1| Final LMA Geography and comparison with other geographies
NUTS 3 (2013)
Coimbra
Porto
0 50 km
Territorial Limits
LAU 1
LMA
Lisboa
LAU 1
Territorial Limits
FUA
EU LMA(e.g. Faro)
Functional Urban Areas (FUA)
BEJA
SINES
ÉVORA
VISEU
BRAGANÇA
LISBOA
TOMAR
GUARDA
FARO
VILA REAL
LEIRIA
COIMBRA
PORTALEGRESANTARÉM
CASTELO BRANCO
AVEIRO
BRAGA
LAMEGO
PORTIMÃO
ALCOBAÇA
GUIMARÃES
VIANA DO CASTELO
PORTO PAREDES
SANTA MARIA DA FEIRA
0 50 km
Cities
> 100 000
] 50 000 ; 100 000 ]
[ 0 ; 50 000 ]
Territorial Limits
LAU 1
LMA
Portuguese Cities, 2011
2 | Statistics and Analysis on Regional Urban-Rural Typology COMPARATIVE STATISTICAL INDICATORS BETWEEN REGIONAL URBAN-RURAL TYPOLOGIES (LAU 1)
Typology PTRUR PTINT PTURB PT
Nr. of territorial units (t.u.) 191 52 35 278
Surface (km2)
Min 14 25 8 8
Max 1 721 764 465 1 721
Average 381 216 144 320
Median 279 182 128 229
SD 311 153 111 284
CV (%) 82 71 77 89
Resident Population
(inhab.)
Min 1 834 2 917 17 569 1 834
Max 143 396 181 494 547 733 547 733
Average 17 677 40 190 130 897 36 143
Median 10 537 26 582 93 858 15 700
SD 20 186 37 760 109 626 58 222
CV (%) 114 94 84 161
Employed Resident
Population (Workers)
Min 607 829 7 781 607
Max 60 993 78 779 222 202 222 202 Average 6 526 15 998 54 142 14 293
Median 3 708 10 566 38 432 5 433
SD 8 344 16 391 45 210 24 308
CV (%) 128 102 84 170
Employment (Jobs)
Min 635 853 6 873 635
Max 74 539 82 923 509 123 509 123
Average 6 423 15 759 55 060 14 293 Median 3 276 9 639 30 251 4 834
SD 8 977 17 426 86 078 35 690
CV (%) 140 111 156 250
Employed resident population
working in the territorial unit
Min 563 729 3 225 563
Max 52 361 65 209 185 140 185 140
Average 5 124 12 193 30 288 9 615
Median 2 700 7 259 22 335 3 876
SD 7 019 13 555 32 541 16 333
CV (%) 137 111 107 170
Typology PTRUR PTINT PTURB PT
Nr. of territorial units (t.u.) 191 52 35 278
SC Demand Side Indicator
Min 41 61 35 35
Max 94 89 84 94
Average 80 79 64 78
Median 82 80 69 80
SD 9 6 14 10
CV (%) 11 8 21 13
SC Supply Side Indicator
Min 38 57 34 34
Max 95 88 83 95
Average 78 74 55 74
Median 80 75 53 77
SD 12 10 13 14
CV (%) 15 13 24 18
Rural Areas - 68,7% of LAU 1 - 81,7% of total surface - In average, 77,6% of the rural employed population lives and works in the same territorial unit (LAU 1) - High levels of self-containment indicators (more employed population works and lives in the same LAU 1)
Urban Areas - 12,6% of LAU1 - 5,7% of total surface - In average, 55,2% of the urban employed population lives and works in the same territorial unit - More mobility between LAU 1 comparing to rural areas
2 | Statistics and Analysis on Regional Urban-Rural Typology REGIONAL URBAN-RURAL TYPOLOGY AND FINAL LMA GEOGRAPHY
LMA LMA Name Typology LAU1 Workers Density
(per km2) Jobs Density
(per km2) Emp_live_work
Density (per km2) SC demand side
indicator SC supply side
indicator
10 AVEIRO Intermediate 10 8 448 8 648 6 002 72,5 67,6
10 AVEIRO Rural 1 3 602 250 200 80,2 69,3
19 SANTA MARIA DA FEIRA Intermediate 3 6 526 1 971 1 457 78,9 69,4 19 SANTA MARIA DA FEIRA Urban 6 14 466 8 051 5 705 68,0 67,9 24 BEJA Rural 13 528 2 952 2 468 83,7 81,2
36 BRAGA Intermediate 8 11 243 11 306 9 068 79,8 72,5
41 GUIMARÃES Intermediate 7 15 549 12 283 9 797 81,1 76,9
41 GUIMARÃES Urban 2 21 703 2 869 1 910 64,9 64,0
49 BRAGANÇA Rural 13 661 3 063 2 718 88,2 90,5
62 CASTELO BRANCO Rural 10 1 005 3 974 3 468 81,5 85,4
73 COIMBRA Rural 13 5 511 9 696 7 158 76,0 62,1 92 ÉVORA Rural 10 868 3 416 2 819 83,3 78,0
101 PORTALEGRE Rural 17 740 3 019 2 518 82,3 80,0 106 FARO Intermediate 8 3 516 6 366 4 936 80,1 74,9
112 PORTIMÃO Intermediate 8 3 732 5 347 4 199 80,4 79,0
124 GUARDA Rural 10 880 2 500 2 114 83,3 85,1
137 ALCOBAÇA Rural 8 6 033 5 065 4 015 77,6 71,4 140 LEIRIA Rural 8 5 283 8 709 6 792 76,1 74,1
153 LISBOA Rural 6 5 149 5 024 3 651 68,4 60,4
153 LISBOA Urban 18 39 524 78 418 40 931 63,1 48,7
182 PORTO Urban 8 63 155 33 446 18 614 62,7 56,9
187 PAREDES Intermediate 5 12 217 6 515 5 069 78,3 72,7
187 PAREDES Urban 1 21 949 1 930 1 444 74,8 64,9
197 TOMAR Rural 14 1 260 3 500 2 848 78,7 78,4
212 SANTARÉM Rural 13 2 686 6 351 4 653 72,9 63,6 226 SINES Rural 5 728 2 595 2 030 80,8 82,8
239 VIANA DO CASTELO Rural 10 3 842 5 487 4 473 80,5 79,0
254 VILA REAL Intermediate 1 1 212 134 109 81,6 80,8
254 VILA REAL Rural 10 1 424 3 718 3 212 86,0 87,4
259 LAMEGO Intermediate 2 2 765 463 396 86,1 75,3
259 LAMEGO Rural 11 2 142 2 117 1 733 82,2 80,4 277 VISEU Rural 19 2 602 7 959 6 469 79,1 76,9
2 | Statistics and Analysis on Regional Urban-Rural Typology
REGIONAL URBAN-RURAL TYPOLOGY AND FINAL LMA GEOGRAPHY
BEJA
SINES
ÉVORA
VISEU
LISBOA
BRAGANÇA
TOMAR
FARO
GUARDA
PORTALEGRE
VILA REAL
LEIRIA
COIMBRA
LAMEGO
SANTARÉM
CASTELO BRANCO
AVEIRO
BRAGA
PORTIMÃO
ALCOBAÇA
GUIMARÃES
PORTO
VIANA DOCASTELO
PAREDES
SANTA MARIA DA FEIRA
0 50 km
Urban
Intermediate
Rural
Urban and Rural Regional Typology
Territorial Limits
LAU 1
LMA
Regional Typology and Final LMA
0 50 km
] 85 ; 95 ]
] 75 ; 85 ]
] 60 ; 75 ]
] 35 : 60 ]
%
Territorial Limits
LAU 1
LMA
Demand Side Self-Containment (LAU1) and Final LMA
0 50 km
] 85 ; 95 ]
] 75 ; 85 ]
] 60 ; 75 ]
] 34 ; 60 ]
%
Territorial Limits
LAU 1
LMA
Supply Side Self-Containment (LAU1) and Final LMA
2 | Statistics and Analysis on Regional Urban-Rural Typology
REGIONAL URBAN-RURAL TYPOLOGY AND FINAL LMA GEOGRAPHY
- 56% of the LMA have LAU 1 in rural regions
- Only 1 out of the 25 LMA has LAU 1 which intersect exclusively with urban region (Porto), because this LMA is
smaller than Porto Metropolitan Area
- 12% of the LMA have LAU 1 in urban and intermediate regions (no rural regions)
- Only the LMA of Lisboa has LAU 1 in urban and rural regions (no intermediate regions)
- The LMA which intersect exclusively with rural regions, especially the ones located in the inland regions of
Mainland Portugal have the lowest levels of workers density (employed population working in rural areas)
- The LMA which intersect with rural regions have higher levels of self-containment: more employed population
lives and works in LAU 1 of the same typology
- The lowest levels of self-containment are in the LMA which intersect with urban regions (high mobility
between urban LAU 1)
2 | Statistics and Analysis on Regional Urban-Rural Typology
PROPORTION OF EMPLOYED POPULATION WORKING PER ECONOMIC SECTOR, 2011
LMA LMA Name Typology Primary sector
Secondary sector
Tertiary sector
10 AVEIRO Intermediate 2,9 37,5 59,6 10 AVEIRO Rural 8,3 27,6 64,1
19 SANTA MARIA DA FEIRA Intermediate 2,6 42,9 54,4 19 SANTA MARIA DA FEIRA Urban 1,3 47,7 51,0
24 BEJA Rural 12,3 18,8 68,9 36 BRAGA Intermediate 2,5 39,4 58,1 41 GUIMARÃES Intermediate 1,4 51,7 46,9 41 GUIMARÃES Urban 1,2 48,5 50,3
49 BRAGANÇA Rural 12,5 18,7 68,7 62 CASTELO BRANCO Rural 4,2 27,2 68,6
73 COIMBRA Rural 2,4 22,9 74,7 92 ÉVORA Rural 9,1 20,1 70,8
101 PORTALEGRE Rural 9,1 20,2 70,8 106 FARO Intermediate 3,8 16,4 79,7
112 PORTIMÃO Intermediate 2,7 15,7 81,6 124 GUARDA Rural 7,3 22,7 70,0
137 ALCOBAÇA Rural 7,4 27,4 65,2 140 LEIRIA Rural 1,9 37,5 60,6
153 LISBOA Rural 4,6 25,9 69,5 153 LISBOA Urban 0,7 16,6 82,7
182 PORTO Urban 1,3 23,8 74,9 187 PAREDES Intermediate 1,6 51,0 47,4
187 PAREDES Urban 1,1 45,7 53,1 197 TOMAR Rural 5,2 27,3 67,5
212 SANTARÉM Rural 6,1 24,8 69,1
226 SINES Rural 11,7 24,8 63,5 239 VIANA DO CASTELO Rural 3,9 34,8 61,3
254 VILA REAL Intermediate 9,0 29,9 61,1 254 VILA REAL Rural 11,0 19,8 69,2
259 LAMEGO Intermediate 9,7 38,6 51,6 259 LAMEGO Rural 16,2 21,5 62,3
277 VISEU Rural 4,5 30,6 64,9
- The LMA which intersect with rural regions
are situated in the north inner territory and
NUTS 2 Alentejo have higher representation
of the primary sector (between 9% and
16,2%)
- The employment in the secondary sector
was more important in LMA which intersect
with urban and intermediate regions (Santa
Maria da Feira, Guimarães and Paredes),
surrounding the LMA of Porto (almost 50%)
- The tertiary sector is more significant in
the LMA which intersect with urban regions
(Lisboa and Porto) and with the
intermediate regions (Faro and Portimão),
situated in NUTS 2 Algarve
3 | Regional Urban-Rural Typology Matrixes
COMMUTING MATRIXES ACCORDING TO REGIONAL URBAN-RURAL TYPOLOGY BY LAU 1
Flows of employed population according to Regional Urban-Rural Typology by LAU 1, 2011
- Concerning internal flows (flows between the same LAU 1), 65,5% of the rural employed
population and 38,4% of the urban employed population lives and works in the same LAU 1
- External flows (in and out flows) are more significant in urban LAU 1 (31,4% and 30,2%
respectively) compared to intermediate and rural LAU 1 – more mobility in urban LAU 1
LAU 1 Matrix
% Internal Flows % In Flows % Out Flows % Total Flows
% Employed Population
% Employed Population
% Employed Population
% Employed Population
Urban 38,4 31,4 30,2 100
Intermediate 62,3 18,2 19,4 100
Rural 65,5 16,6 17,9 100
3 | Regional Urban-Rural Typology Matrixes
REGIONAL URBAN-RURAL TYPOLOGY IN COMMUTING MATRIX
- Almost 49% of employed population works in urban LAU 1, of which 46,2% lives and works in urban
LAU 1
- Almost 31% of employed population lives in rural LAU 1, of which 29,9% lives and works in rural LAU 1
- Concerning the flows between different typologies, the flows between intermediate LAU 1 and urban
LAU 1 represent the highest proportion of employed population: 1,2%
Proportion of employed population in commuting matrix according to Regional Urban-Rural Typology, 2011
From/To Urban Intermediate Rural Total
Urban 46,2 0,9 0,6 47,7
Intermediate 1,2 19,4 0,4 20,9
Rural 1,1 0,3 29,9 31,4
Total 48,5 20,6 30,9 100
0 50 km
Territorial Limits
Study Area
LAU 1
Porto Metropolitan
Territory
Lisboa Metropolitan
Territory
Algarve
RuralTerritories
AltoMinho
Urban and Rural Regional Typology
Intermediate
Rural
Urban
NUTS III
4 | Sensitive Analysis
STUDY AREAS BASED ON REGIONAL URBAN-RURAL TYPOLOGY
NUTS3 and Regional Urban-Rural Typology
Douro
Algarve
Baixo Alentejo
Alto Alentejo
Alentejo Central
Beira Baixa
Ave
Oeste
Alentejo Litoral
Médio Tejo
Lezíria do Tejo
Beiras e Serra da Estrela
Alto Tâmega
Região de Coimbra
Terras de Trás-os-Montes
Alto Minho
ViseuDão
Lafões
Cávado
Região de Leiria
Tâmega e Sousa
Região de
Aveiro
AMP
AML
0 50 km
Urban
Intermediate
Rural
Urban and Rural Regional Typology
Territorial Limits
LAU 1
NUTS III
Study Areas and Regional Urban-Rural Typology
Study Areas:
1. Lisboa Metropolitan Territory
2. Porto Metropolitan Territory
3. Rural Territory 4. Algarve 5. Alto Minho
The study area of Alto Minho was chosen because of its non spatial contiguity with other rural territories Sensitive analysis were conducted in two scenarios/study areas: • Alto Minho separated
with other rural regions • Alto Minho with other
rural regions
STUDY AREAS BASED ON REGIONAL URBAN-RURAL TYPOLOGY (RURAL REGIONS VS ALTO MINHO)
minSZ minSC tarSZ tarSC No. LMA
5 000 0.80 35 000 0.85 45
0 50 km
Territorial Limits
LAU 1
LMA
Rural Regions
0 5 km
Territorial Limits
LMA
LAU 1
minSZ minSC tarSZ tarSC No. LMA
5 000 0.80 35 000 0.85 5
Alto Minho
minSZ minSC tarSZ tarSC No. LMA
35 000 0.80 70 000 0.85 13
0 50 km
Territorial Limits
LAU 1
LMA
Rural Regions
0 5 km
Territorial Limits
LMA
LAU 1
minSZ minSC tarSZ tarSC No. LMA
35 000 0.80 70 000 0.85 1
4 | Sensitive Analysis
STUDY AREAS BASED ON REGIONAL URBAN-RURAL TYPOLOGY
1. Lisboa Metropolitan Territory
• Lisboa Metropolitan Area + 2 Rural Regions (Oeste and Lezíria do Tejo)
2. Porto Metropolitan Territory
• Hypothesis 1: Porto Metropolitan Area • Hypothesis 2: : Porto Metropolitan Area + 4
Intermediate Regions (Cávado, Ave, Tâmega e Sousa and Região de Aveiro)
3. Rural Territories
• 14 Rural Regions
4. Algarve • 1 Intermediate Region
Based on previous results it was concluded that despite setting high or low values on the parameters, the number of LMA in Alto Minho it is the same for both scenarios. So it were defined 4 study areas:
Final Study Areas
Concerning the two scenarios for Porto Metropolitan Territory, tests were conducted for both territories for comparability reasons at metropolitan level
0 50 km
Territorial Limits
Study Area
LAU 1
Porto Metropolitan
Territory
Lisboa Metropolitan
Territory
Algarve
RuralTerritories
Urban and Rural Regional Typology
Intermediate
Rural
Urban
NUTS III
4 | Sensitive Analysis
STUDY AREAS CHARACTERISTICS
4 | Sensitive Analysis
Study Areas characteristics
Study Area Nº
LAU 1 % Employed Population
Self-containment by LAU 1
Demand Side Supply Side Lisboa Metropolitan
Territory 41 36,0 56,0 56,3
Porto Metropolitan Territory
(Hypothesis 1) 17 17,8 59,8 60,4
Porto Metropolitan Territory
(Hypothesis 2) 53 34,2 68,0 67,7
Rural Territories 168 25,3 80,5 80,4
Algarve 16 4,5 78,0 78,2
PARAMETERIZATION SCENARIOS
4| Sensitive Analysis
Three parameterization scenarios: 1 - Scenario based on the LMA final geography parameters: 2 - Scenario based on parameters adjusted to metropolitan territories: depicting internal organization of metropolitan territories
- high levels of functional integration - lower size and self-containment values
3 – Scenario based on parameters adjusted to non-metropolitan territories: defining functional urban regions - high levels of self-containment at LAU 1 - over evaluate size and self-containment values
• Several tests were conducted but only one result was selected for each scenario
minSZ minSC tarSZ tarSC
35 000 0.80 100 000 0.85
4| Sensitive Analysis
LISBOA METROPOLITAN TERRITORY
Scenario 1 Scenario 2 Scenario 3
minSZ minSC tarSZ tarSC No. LMA
35 000 0.80 70 000 0.85 3
0 10 km
Territorial Limits
LMA
LAU 1
minSZ minSC tarSZ tarSC No. LMA
35 000 0.80 100 000 0.85 3
minSZ minSC tarSZ tarSC No. LMA
2 000 0.70 10 000 0.75 15
0 10 km
Territorial Limits
LAU 1LMA
0 10 km
Territorial Limits
LAU 1LMA
4| Sensitive Analysis
PORTO METROPOLITAN TERRITORY (HYPOTHESIS 1)
Scenario 1 Scenario 2 Scenario 3
minSZ minSC tarSZ tarSC No. LMA
35 000 0.80 70 000 0.85 3
minSZ minSC tarSZ tarSC No. LMA
35 000 0.80 100 000 0.85 2
minSZ minSC tarSZ tarSC No. LMA
2 000 0.70 10 000 0.75 8
0 5 km
Territorial Limits
LMA
LAU 1
0 5 km
Territorial Limits
LAU 1LMA
0 5 km
Territorial Limits
LAU 1LMA
4| Sensitive Analysis
PORTO METROPOLITAN TERRITORY (HYPOTHESIS 2)
Scenario 1 Scenario 2 Scenario 3
minSZ minSC tarSZ tarSC No. LMA
35 000 0.80 70 000 0.85 10
minSZ minSC tarSZ tarSC No. LMA
35 000 0.80 100 000 0.85 10
minSZ minSC tarSZ tarSC No. LMA
2 000 0.70 10 000 0.75 29
0 10 km
Territorial Limits
LMA
LAU 1
0 10 km
Territorial Limits
LAU 1LMA
0 10 km
Territorial Limits
LAU 1LMA
4| Sensitive Analysis
RURAL TERRITORIES
Scenario 1 Scenario 2 Scenario 3
minSZ minSC tarSZ tarSC No. LMA
35 000 0.80 70 000 0.85 13
minSZ minSC tarSZ tarSC No. LMA
35 000 0.80 100 000 0.85 14
minSZ minSC tarSZ tarSC No. LMA
2 000 0.70 10 000 0.75 29
0 50 km
Territorial Limits
LAU 1
LMA
0 50 km
Territorial Limits
LAU 1LMA
0 50 km
Territorial Limits
LAU 1LMA
4| Sensitive Analysis
ALGARVE
Scenario 1 Scenario 2
Scenario 3
minSZ minSC tarSZ tarSC No. LMA
35 000 0.80 70 000 0.85 2
minSZ minSC tarSZ tarSC No. LMA
35 000 0.80 100 000 0,85 2
minSZ minSC tarSZ tarSC No. LMA
2 000 0.70 10 000 0.75 8
0 5 km
Territorial Limits
LMA
LAU 1
0 5 km
Territorial Limits
LAU 1LMA 0 5 km
Territorial Limits
LAU 1LMA
5 | Main findings
- Scenario 3 results, based on parameters adjusted to non-metropolitan territories – functional urban
regions approach – are similar to the results of Scenario 1 – LMA final geography (Eurostat Grant).
- Scenario 2, based on parameters adjusted to metropolitan territories – depicting internal organization of
metropolitan territories – applied to non-metropolitan territories ensure high levels of functional integration
in rural regions, meaning, in the Portuguese context, a high number of LMA with one single LAU 1: 48 LMA –
51,6%...
- Following our analysis and tests:
Should a specific set of parameters be defined according to the type of territory U/R
OR
should a hierarchical system of LMA be defined according to size and functional integration?
- The Algarve study area (intermediate region) is a good example on how this hierarchical system may work
Unit for the Coordination of Territorial Statistics
August 2018
Task Force on Establishment of European set of Labour Market Areas
Preliminary Analysis and Results