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PERSPECTIVES OF DEVELOPMENT EUROPE R O M A N I A A R A D – T I M I Ș REPORT 2015 - AURORA TM

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  • PERSPECTIVES OF DEVELOPMENT

    EUROPE

    R O M A N I A

    A R A D T I M I

    REPORT 2015 - AURORATM

  • AURORA Copyright AURORA-GRUP 2016 1

    Motivation

    The idea of this project showed up due to the lack of transparency and information, in general, which we felt in developing our current works, of our lives.

    Restricting or limiting the access to information with public character, the unilateral biased presentation of the information becoming public are major barriers in forming

    and justifying some opinions and/ or decisions and may have a catastrophic impact for the future projects of the communities or investments.

    Vision

    All citizens must have access to real information concerning the stage and the

    perspectives of communities development they live or where they invest.

    Mission

    AURORA performs studies, analyses and economic and social prognoses, up to community level, in the benefit of the citizens and of the investors.

    What have we done?

    Until this year, we have worked only in the WESTERN region of Romania, the counties

    of Arad and Timis, area which we present in detail in this Report.

    Starting 2016 we intend to expand the AURORA project area of action, in order to

    cover also other regions of Romania, Hungary and Serbia, or other areas (applying a specific method of analyse, developed by AURORA), so that our studies and materials could provide a better image on the state and likely evolution of these regions.

    In this regard, we wait for your answer to continue these activities we have been performing in your benefit as well. If you are interested in cooperation with AURORA,

    reading this report, you may find our contact on the last page.

    What do we want?

    Performing a proper analyse on the potential of the region development, which allows for

    realistic analyses and probable predictions, ensures traceability and a proper justification

    of the investments decisions;

    Issuing a vision based on research and analyse (and not on opinions). Identifying the

    natural trends of evolution (of the society of the market) and of the sources for growth. Direction towards scenarios of economic and area communities growth by increasing the

    efficiencies and specific outputs for the transformation processes;

    Developing the private, entrepreneurial initiative, in parallel with the development of large

    investment in the centres for regional development and of really efficient and fruitful

    cooperation with the research Institutes and governments in the area;

    Establishing partnerships, associations, clusters and associations of clusters and the know-

    how transfer. Associations and services for clusters management, establishment of

    mutual, regional development projects;

    Balanced growth of the life quality in the regions, considering as important as the

    economic aspect, the issues concerning the education, the culture, the environment

    protection and preservation, the healthcare and public safety services.

  • AURORA Copyright AURORA-GRUP 2016 2

    The AURORA Method

    We start from the hypothesis that the natural law applies to all fields of its expressions, and

    the economic and the social ones are natural systems up to a reasonable limit for study.

    Consequently, we consider three major areas, defining the communities status and evolution, respectively the Environment, the

    Society and the System of Changes, each area being governed by natural specific laws.

    All three systems behave as open systems which win-lose/ exchange energy, material and information between each other.

    They are interdependent, and cannot be conceived beyond the flows of materials,

    energy and information which occur between them, resulting in the accumulation or loss of their quantities.

    A. The Environment will keep its state where it is or will evolve naturally,

    uniformly, in the absence of the anthropic interventions.

    B. The changes, the movements of the Environment system depend on the

    quantities of exploited Resources and on their exploitation intensity and speed.

    C. The changes, the movements of an Environment-like subsystem will influence

    the subsystems with which they get in contact, just like those subsystems with

    which gets in contact will affect the given subsystem.

    With regard to the relations and lawfulness according to which the changes of the Social system take place regarding the other two, the Wardrops principles (from the game theory) are adjustable:

    1. Each entity (from individual to community) will seek to minimize its costs/

    efforts and to maximise its earnings/ effects (competition);

    2. If all individuals cooperate (organised community) the average costs / efforts

    are minimal and the average earnings/ effects are maximal (cohesion).

    In addition, the following are checked in the Social system: A. In invariable external conditions, the Social system tends to a state of balance

    in a reasonable timeframe.

    B. If the Social system is isolated from other external Social systems, the energies

    inside it shall preserve themselves regardless on the internal changes occurred

    by the system.

    C. Only the more developed and organised Social systems influence those feebly

    developed and organised and not the opposite.

    D. In the absence of the cultural factors, the systems are in perfect balance.

    Consequently, depending on the internal decisions of the Social system, on the chosen ways of organisation, the exchanges with the two other systems may be optimised

    and are predictable. Such a local or regional system may be comprised by other wider systems, eventually hierarchically organised.

  • AURORA Copyright AURORA-GRUP 2016 3

    Contents

    PERSPECTIVES OF DEVELOPMENT IN EUROPE ............................................... 4

    The Natural Potential ....................................................................................... 4

    The Demographic Situation .............................................................................. 9

    Economic Sizes ............................................................................................. 12

    Conclusion ................................................................................................... 14

    PERSPECTIVES OF DEVELOPMENT IN ROMANIA .......................................... 15

    Socioeconomic levels .................................................................................. 15

    The status of the Environment subsystem ........................................................ 17

    The Status of the Social Subsystem ................................................................. 21

    The status of the Economic subsystem ............................................................. 26

    Conclusions .................................................................................................. 29

    Brief Presentation WEST Region ............................................................... 31

    DEVELOPMENT PERSPECTIVES IN ARAD and TIMIS ..................................... 32

    The Status of the Environment Subsystem ....................................................... 32

    Status of the Social Subsystem ....................................................................... 35

    The Status of the Changes Subsystem ............................................................. 38

    Conclusions .................................................................................................. 40

  • AURORA Copyright AURORA-GRUP 2016 4

    PERSPECTIVES OF DEVELOPMENT IN EUROPE The Natural Potential The renewable natural potential is in tight connection with the hydrographic network, being much wider in the large rivers areas or there where is present a strong hydrography network. The cultivable areas are distributed especially in the countries

    benefiting of natural hydrographic basins or which developed large areas of irrigated land.

    These hydrographic networks are a factor of capitalisation for the products from natural resources, of Environment, and their effect is as much stronger in the areas where it was established/ developed also an infrastructure network which to increase

    this natural capitalisation factor.

    Source: http://www.digitalmaps.co.uk/wp-content/uploads/2011/10/europe_topographical_blank.jpg

    TOTAL PRODUCTIVE AREAS Obviously, as larger the area of a country and the better represented its hydrographic network, the wider will also be the exploitable plots, respectively the flows of capital in

    using the Environment potential.

    France distinguishes itself as the largest EU Member as use of the areas for

    agriculture, followed by Spain and Germany.

  • AURORA Copyright AURORA-GRUP 2016 5

    In Eastern Europe, Poland and Romania have the largest areas meant for the

    agriculture production.

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    0,00

    166.636,00

    FIGURE 1 - AURORA SHAPING SOURCE EUROSTAT, LAST AVAILABLE DATA AREAS DESIGNED FOR AGRICULTURAL CROPS

    PRODUCTIVE LANDS PER CAPITA The population of an area/ country is the determining factor of this index which is to

    be correlated with the areas/ countries capacities to provide for the own needs of consume from capitalising the own Environmental potential. The Northern countries, with lower density of the population, are in the position

    to present larger productive areas/ person. In the Eastern Europe, the Baltic countries, Bulgaria, Romania and Greece have

    the largest productive areas/ person. min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    0,00

    6,46

    FIGURE 2 - AURORA SHAPING SOURCE EUROSTAT, LAST AVAILABLE DATA PRODUCTIVE AREAS PER CAPITA

    To

    tal a

    reas d

    esig

    ned

    for a

    gric

    ultu

    ral c

    ro

    ps

    (Ha)

    The in

    dex pre

    sents

    th

    e la

    nd are

    as,

    in

    hecta

    res, w

    ith a

    gric

    ultu

    ral d

    estin

    atio

    n.

    Pro

    du

    ctiv

    e a

    reas p

    er c

    ap

    ita (H

    a/P

    ers

    )

    The in

    dex p

    resents

    the la

    nd a

    reas, in

    hecta

    res,

    with

    agric

    ultu

    ral

    purp

    ose,

    reporte

    d

    per c

    apita

    .

  • AURORA Copyright AURORA-GRUP 2016 6

    TOTAL IRRIGATED AREAS

    Out of the use of this potential, France obtains the largest income, turning the natural potential into the capital, followed by Germany, Italy and Spain.

    Amongst the European states, Italy and Spain have the strongest developed network of irrigation, in order to provide for the absence of the fertile lands and of the

    hydrographic basins. In the Eastern Europe, only Romania has a more developed network of irrigation (though the irrigated areas have decreased by each year - 1.5 mil Hectares in 1990 to 0.2 mil. Hectares in 2014).

    Large works of infrastructures, shaping of the environment have been developed, some of them having already hundreds of years;

    Out of the Eastern countries, only Romania is still reporting significant irrigable areas to EuroStat, but decreasing from one year to another.

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    0,00

    3.977.210,00

    FIGURE 3 AURORA SHAPING SOURCE EUROSTAT, LAST VALID AREAS IRRIGATED AREAS

    FLOWS OF CAPITAL FROM THE USE OF THE PRODUCTIVE AREAS We notice that, from the East European countries, Poland and Romania succeed to

    capitalise their natural potential reaching comparable values with those from the United Kingdom or Netherlands. Nevertheless, these two countries have

    Environmental potential much larger than the United Kingdom or Netherlands.

    The indexes of quality of the use of the natural potential show us another situation of the efficiency division at European level.

    France, Germany, Italy and Spain are the European countries achieving the largest incomes from the primary exploitation of the natural potential;

    In the Eastern Europe, Poland and Romania achieve the largest incomes from the direct exploitation of the natural agricultural potential.

    To

    tal ir

    rig

    ate

    d a

    reas (H

    a)

    The

    index

    pre

    sents

    th

    e

    irrigate

    d

    are

    as,

    in hecta

    res,

    of

    the to

    tal

    agric

    ultu

    ral

    are

    as.

  • AURORA Copyright AURORA-GRUP 2016 7

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    0,00

    41.305,50

    FIGURE 4 AURORA SHAPING SOURCE EUROSTAT, LAST AVAILABLE DATA INCOMES FROM AGRICULTURAL PRODUCTION

    THE CAPACITY TO PROVIDE FOR THE NEEDS OF THE OWN POPULATION FROM THE USE OF THE ENVIRONMENTAL RESOURCES

    Netherlands and France are the Western European countries with the best capacity to cover for the basic needs of their own populations;

    In Eastern Europe, Lithuania, Romania and Hungary have the highest capacities for providing for the needs of their own populations. Germany, Poland, United Kingdom, Czech Republic, Slovakia and the Northern

    countries have more reduced capacities to cover for their own need which are to be compensated by Imports.

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    0,00

    763,47

    FIGURE 5 - AURORA SHAPING SOURCE EUROSTAT, LAST AVAILABLE DATA EURO/CAPITA FROM THE AGRICULTURAL PRODUCTION

    Th

    e

    inco

    mes

    resu

    lting

    fr

    om

    th

    e

    cap

    italis

    atio

    n o

    f the n

    atu

    ral p

    ote

    ntia

    l (Euro

    )

    The in

    dex pre

    sents

    th

    e in

    com

    es re

    sultin

    g

    from

    the p

    roductio

    n o

    n th

    e a

    reas w

    ith a

    gric

    ultu

    ral

    purp

    oses.

    Th

    e

    cap

    acity

    to

    u

    se

    the

    ow

    n

    natu

    ral

    en

    vir

    on

    men

    t fo

    r

    pro

    vid

    ing

    fo

    r

    the

    necessary

    reso

    urces

    for

    the

    ow

    n

    po

    pu

    latio

    n (E

    uro

    /Pers

    )

    The

    index

    pre

    sents

    th

    e

    capacity

    to

    pro

    vid

    e

    for

    the

    popula

    tions

    needs

    from

    th

    e

    incom

    es

    obta

    ined

    from

    th

    e

    use

    of

    the

    Enviro

    nm

    enta

    l pote

    ntia

    l.

  • AURORA Copyright AURORA-GRUP 2016 8

    THE INTENSITY AND THE EFFICIENCY OF THE USE OF THE OWN NATURAL POTENTIAL

    The highest efficiency of the use of the areas with agricultural destination occurs in Netherlands.

    In the Eastern Europe, Slovenia, Croatia, Czech Republic, Romania and Hungary are the countries which start to use more effectively the potential of the areas with

    the agricultural destination. There is a large reserve of development potential in this field in the Eastern European countries.

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    0,00

    65.655,24

    FIGURE 6 - AURORA SHAPING SOURCE EUROSTAT, LAST AVAILABLE DATA /HA OF THE AGRICULTURAL PRODUCTION

    TOTAL LIVESTOCK The livestock situation describes quite well also the specificity of the internal consumes of the respective countries. The cattle stock is larger in countries with higher tolerance at lactose, range somehow likely to that of R1b haploid-group.

    The EU livestock provide for the populations own needs for consume.

    1

    2

    3

    4

    5

    6

    7

    8

    9

    10

    1

    2

    3

    4

    5

    6

    7

    8

    9

    10

    1

    2

    3

    4

    5

    6

    7

    8

    9

    10

    Cattle Swine Sheep

    FIGURE 7 - AURORA SHAPING SOURCE EUROSTAT, LAST VALID DATA LIVESTOCK

    Th

    e in

    ten

    sity

    an

    d th

    e effic

    ien

    cy o

    f th

    e u

    se

    of th

    e p

    ro

    du

    ctiv

    e la

    nd

    s (E

    uro

    /Ha)

    The in

    dex pre

    sents

    th

    e le

    vel

    of

    incom

    es

    achie

    ved

    from

    explo

    iting

    the

    Enviro

    nm

    enta

    l

    pote

    ntia

    l, re

    porte

    d to

    th

    e are

    a w

    ith agric

    ultu

    ral

    destin

    atio

    n.

  • AURORA Copyright AURORA-GRUP 2016 9

    The Demographic Situation The efficiency of the use of the natural potential creates the premises for the demographic development but the efficiency of the communities organisation and management systems create major differences between the various societies.

    HUMAN DEVELOPMENT INDEX

    Consequently, there are large differences between the Northern Europe and the Western and Eastern ones, such as they can be noticed in the Human Development index (Human Development Index - 2015)

    0,69

    0,72

    0,74

    0,77

    0,79

    0,82

    0,84

    0,87

    0,89

    0,94

    FIGURE 8 - AURORA SHAPING SOURCE HDI 2015 REPORT HDI INDEX

    General indexes as the population size and its trends, the evolution of the fertility rate

    show us how desirable and efficient are the societies forms of organisation and management.

    The development of the towns network, the weight of the urban and rural communities in the demographic system of a country have been emphasised in order to create an image on the societies type of development.

    THE FERTILITY RATE

    The fertility rate, as synthetic index of the citizens satisfaction and of the governments efficiency, is particularly important in defining the social policies pragmatism/ efficiency.

    The transition in the countries from the ex-communist block influences negatively this index.

    The low fertility rates from Western European countries (Portugal, Spain) are due to improper social programs and lack of economical strenght.

    By France, Sweden, Ireland and Iceland (the only one presenting this type of positive rates during the last 20 years), the Western Europe has the highest fertility rates.

    Montenegro, Macedonia, the Baltic countries and Bulgaria have the highest fertility rate in the Eastern Europe.

  • AURORA Copyright AURORA-GRUP 2016 10

    Poland has the lowest fertility rate in the Eastern Europe. The Central and

    Southern Europe present the lowest fertility rates. 1

    2

    3

    4

    5

    6

    7

    8

    9

    10

    FIGURE 9 AURORA SHAPING SOURCE EUROSTAT, LAST AVAILABLE DATA FERTILITY RATE

    TOTAL POPULATIONS The developed Western European countries have also populations which contribute and support/ maintain this growth.

    As for the populations concentration in urban centres, the development of the towns network, each country developed a different type of model.

    Germany, France, United Kingdom and Italy stand out as the most populated European countries; Poland and Romania have the largest populations in Eastern Europe.

    8.076.746,30

    16.153.492,60

    24.230.238,90

    32.306.985,20

    40.383.731,50

    48.460.477,80

    56.537.224,10

    64.613.970,40

    72.690.716,70

    80.767.463,00

    FIGURE 10 AURORA SHAPING SOURCE EUROSTAT, LAST AVAILABLE DATA POPULATION

    Th

    e

    natu

    ral

    increase

    of

    the

    po

    pu

    latio

    n

    of

    Eu

    ro

    pean

    co

    un

    trie

    s

    (Foetu

    ses/W

    om

    an)

    This

    index p

    resents

    the n

    um

    ber o

    f

    new

    -born

    reporte

    d to

    wom

    ens

    num

    ber in

    a p

    opula

    tion.

    Th

    e

    po

    pu

    latio

    ns

    of

    the

    Eu

    ro

    pean

    co

    un

    trie

    s (P

    ers

    )

    The in

    dex pre

    sents

    th

    e popula

    tion

    tota

    l, as n

    um

    ber o

    f pers

    ons.

  • AURORA Copyright AURORA-GRUP 2016 11

    THE WEIGHT OF THE URBAN CENTRES IN POPULATIONS TOTAL The various cultural models of the European states led to various types of territorial development, to various approaches of the relation with the environment and its

    potential, especially considering the security limitations it imposes.

    Consequently, some states developed predominantly small, semi-urban and rural

    communities, especially in the most vulnerable European areas.

    Strong development and geographic limitations render the United Kingdom into the most urbanised European country.

    France, Portugal, Cyprus, Netherlands and Finland have large populations in urban centres.

    The Baltic countries, Poland, Hungary, Romania and Greece are the most urbanised states of the Eastern Europe.

    0,07

    0,14

    0,21

    0,28

    0,35

    0,43

    0,50

    0,57

    0,64

    0,71

    FIGURE 11 - AURORA SHAPING SOURCE EUROSTAT, LAST AVAILABLE DATA LARGE URBAN CENTRES

    THE WEIGHT OF THE SMALL AND RURAL COMMUNITIES IN THE POPULATIONS TOTAL It can be noticed a delimitation of the Western Europe by much smaller values of the populations weight in small or rural areas. We have the highest figures of the small and rural urban communities weight in populations total in the Central and Eastern Europe.

    Larg

    e u

    rb

    an

    cen

    tres (%

    Popula

    tion)

    The in

    dex p

    resents

    the ra

    tio b

    etw

    een

    the

    popula

    tions

    from

    la

    rge

    urb

    an

    centre

    s

    and th

    e to

    tal p

    opula

    tion.

  • AURORA Copyright AURORA-GRUP 2016 12

    0,08

    0,16

    0,24

    0,32

    0,40

    0,49

    0,57

    0,65

    0,73

    0,81

    FIGURE 12 - AURORA SHAPING SOURCE EUROSTAT, LAST AVAILABLE DATA SMALL COMMUNITIES

    Economic Sizes The volumes of the European economies vary a lot from one State to another, both in volume and dynamics. The large European economies (Germany, France, the United

    Kingdom and Italy) generate larger volumes compared to the economies of the Eastern European countries.

    However, the rates of growth and development are much higher in the small European economies.

    Economically, at European level, we present only two indicators (GDP and GDP rate)

    which are correlated with the potential and social indexes.

    THE GROSS DOMESTIC PRODUCT The economic volumes show a clear leading position for the four Western European powers, Germany, France, the United Kingdom and Italy, followed quite far by Spain.

    These are the countries which form the European economic engine and generate the economic development.

    Sweden, Switzerland, Austria, Netherlands, Belgium and Poland form the group of the average European economies which also contribute (less than the group of first 5), to

    the community economic development.

    Finally, the group of the countries with smaller contributions to the community economic growth is formed by Norway, Finland, Greece, Portugal, Ireland, Romania,

    Hungary and Czech Republic.

    Germany, France, the United Kingdom and Italy are the strongest economies in

    the Western Europe. Poland, followed by Greece, Romania, Czech Republic and Hungary, has the most developed economy in the Eastern Europe.

    Th

    e

    weig

    ht

    of

    the

    sm

    all

    tow

    ns

    an

    d

    ru

    ral c

    om

    mu

    nitie

    s (%

    of th

    e p

    opula

    tions

    to

    tal)

    The

    index

    is

    giv

    en

    by

    the

    ratio

    betw

    een

    the

    popula

    tions

    tota

    l num

    ber

    in

    sm

    all

    urb

    an centre

    s and ru

    ral

    com

    munitie

    s

    reporte

    d to

    the p

    opula

    tions

    tota

    l.

  • AURORA Copyright AURORA-GRUP 2016 13

    29.156,50

    87.469,50

    160.360,75

    257.549,08

    403.331,58

    694.896,58

    986.461,58

    1.278.026,58

    1.569.591,58

    2.915.650,00

    FIGURE 13 AURORA SHAPING SOURCE EUROSTAT, LAST AVAILABLE DATA GDP, MIL EURO

    THE GDP RATE

    On the free development potential, noticeable by the GDP growth, the situation at EU level is different. The much higher growth rate from the Eastern Europe show up in countries where there are large potentials of Environment, but also of Change, which

    are not used and lead to economic growth.

    The Western Europe, except for Iceland, has average/ small growth rates.

    The highest values of the GDP rates are in the Eastern Europe, particularly in the Baltic and Balkan countries. Romania is a country of average (European) level with a significant growth rate.

    -5,90

    -4,88

    -3,86

    -2,84

    -1,82

    -0,80

    0,22

    1,24

    2,26

    4,30

    FIGURE 14 AURORA SHAPING SOURCE EUROSTAT, LAST AVAILABLE DATA GDP RATE

    GD

    P (M

    il Euro

    )

    The in

    dex pre

    sents

    th

    e valu

    e cre

    ate

    d

    and/ o

    r consum

    ed/ a

    llow

    ed in

    a s

    ocie

    ty d

    urin

    g

    1 y

    ear, e

    xpre

    ssed in

    Euro

    .

    GD

    P r

    ate

    (% o

    f the p

    revio

    us G

    DP)

    This

    ra

    te

    hig

    hlig

    hts

    th

    e

    change

    (in

    gro

    wth

    or th

    e d

    ecre

    ase) o

    f the G

    DP, fro

    m o

    ne

    year o

    r anoth

    er.

  • AURORA Copyright AURORA-GRUP 2016 14

    Conclusion The EU policy of knowledge-based development as renewable and unlimited

    resource led to the development of some strong economies in the Western Europe where there are most of the European research centres.

    The results of the European research can be found in the technologies implemented in the changing processes, especially in the Western Europe but, via their incorporation in equipment and machinery, also in the East European countries, where

    the development is predominantly copied, used (via its results), and not generated.

    Nevertheless, the East European countries have a huge tank of unused natural potential which, combined with the research results at EU level (comprised in

    technologies, equipment and machinery of European origin) leaving space for strong growth rates, including

    economical ones. (Fig. 4 on the side)

    This situation is revealed also by the much lowest intensity in the use of the natural potential in East

    European countries.

    The reverse of this situation is given by the fact that

    the East European countries accede directly to the new technologies and develop activities in fields like IT&C, even if they do not capitalise their free natural potential.

    The populations have much higher fertility rates in the

    Western Europe, especially in France and in the North-Western countries and as size the largest European

    populations can be found in the most developed economies (Germany, France, the United Kingdom, Italy). (Fig. 9 reproduced aside)

    Traditionally, the patterns of economic growth need larger populations for higher results. In these systems, the

    technologies may compensate part of the needs for labour force but, mostly, they ensure the investors against various risks associated to the Environment and/ or Social.

    The Eastern Europe registers negative fertility rates and a de-population process due to the freedom of movement in the community area, the citizens from this area

    preferring to migrate to more economically developed countries.

    As their consequence, we find the highest values of

    economic size in the Western Europe, while the highest growth rates can be found in the Eastern Europe. (Fig. 14

    reproduced aside)

    The Western Europe developed a solid growth model,

    based on technological and production capacities also requiring large populations, while the Eastern Europe (the Balkan model and strictly Eastern- not Central European)

    does not take into consideration, at the same level, the potential given by the population, but it capitalises the

    advantages of the access on markets of the high technologies, even neglecting the existing natural potentials.

    min2

    3

    4

    5

    6

    7

    8

    9

    MAX

    0,00

    41.305,50

    12

    3

    4

    5

    6

    7

    8

    9

    10

    -5,90-4,88

    -3,86

    -2,84

    -1,82

    -0,80

    0,22

    1,24

    2,26

    4,30

  • AURORA Copyright AURORA-GRUP 2016 15

    PERSPECTIVES OF DEVELOPMENT IN ROMANIA Romania has its own development hierarchy, both territorially and demographically

    and economically.

    The municipality of Bucharest has a population of approximately 2 mil. persons, which

    is about 10% of the countrys population. The capital generates a gross income of 111 billion euro annually which is about 38% of the total of the national Gross Income.

    Of the 111 billion achieved in Bucharest, 48.5 billion are in District 1 of the Capital,

    which means 44% of it.

    Socioeconomic levels Level 1 The Capital and the Ilfov County, with of population of 10%, generates 38% of the Romanian Gross Income and constitutes which we call level 1 of development.

    Level 2 The traditional regional capitals (Iai, Constana, Craiova, Cluj and Timioara) owe 8% weight of the population total but produce only 11% of the Gross Income, as the capitals of Moldavia and Oltenia are far behind other county capitals, aspiring to the

    level of regional capital (Piteti, Braov, Ploieti, Sibiu, Oradea, Arad, Trgu Mure). Level 3 This re-arrangement on economic criteria makes the rest of the county capitals to

    have a value of the Gross Income higher than the population weight. Level 4

    Small urban localities have a weight of 25% of the population and produce 18% of the Gross Income, which proves the same phenomenon of capitals concentration and of reporting premises to more developed urban centres.

    Level 5 As expected, the rural localities, comprising 37% of the population, generate only

    11% of the Gross Income, generally from agricultural business or of primary exploitation of the resources, without large technological investments. Such things happen because the incomes accomplished by companies at national

    level, are accounted where they have their premises, and most of them have their premises in District 1 of the Capital. It happens similarly to regional and/ or county

    levels. Only Hunedoara County has developed a towns networks with a higher ratio of the population compared to their municipality and the rural environment.

    The level 5 predominance occurs in areas with high landscape or in the Danube riparian areas.

    The level of each County, respectively Capital District is presented in the map, according to the above. The green areas have a higher level of urbanisation and

  • AURORA Copyright AURORA-GRUP 2016 16

    Th

    e u

    rb

    an

    isatio

    n le

    vel

    The

    map

    pre

    sents

    th

    e

    ratio

    betw

    een th

    e urb

    an popula

    tion and th

    e

    rura

    l one, a

    t county

    level.

    regional concentration while the red ones are predominantly rural. The

    District 1 of the Capital is the only one of level 1.

    1,00

    2,00

    3,00

    4,00

    5,00

    FIGURE 15 AURORA SHAPING SOURCE INS, ORC, MAPI, LAST AVAILABLE DATA THE PREDOMINANCE OF THE SOCIO-ECONOMIC LEVELS

    The fiscal system in Romania, compared to the other 28 European states is an average one, with a sole ratio of 16% both for profit and for dividends (since 2016 it will decrease at 5%), in case of repatriating the profits. Comparatively, the system in

    Hungary has higher fiscal values and that from Serbia is more loosen than the Romanian one.

    The low value of the wages may be attractive. In Romania, the minimum gross wage is of 1,050 RON (1050 / 4,5 = 233 euro) and a gross average wage is of 2,400 RON (2,400 / 4.5 = 533 euro). For expenses with the employees, the employers pay

    supplementary to those a cumulated quota (composed of several taxes, contributions) of 38.15 %.

    The capital is divided in sectors, with populations compared to those in the counties. The largest urban populations are in Cluj and Constanta counties, which also

    have urban centres being regional capital and a developed network of urban localities. The counties of Timi, Iai and Dolj, especially, in the absence of a developed urban network, have a weaker ranking.

    Significant increase of the urbanisation is in the counties of Braov and Prahova, large county centres and strong urban networks.

    1

    2

    3

    4

    5

    6

    7

    8

    9

    10

    FIGURE 16 - AURORA SHAPING SOURCE INS, ORC, MAPI, LAST AVAILABLE DATA URBANISATION LEVELS

    Th

    e

    pred

    om

    inan

    ce

    of

    the

    so

    cio

    -

    eco

    no

    mic

    levels

    The m

    ap pre

    sents

    th

    e geogra

    phic

    al

    dis

    tributio

    n,

    in th

    e te

    rritory

    , of

    the 5 le

    vels

    of d

    evelo

    pm

    ent.

  • AURORA Copyright AURORA-GRUP 2016 17

    The status of the Environment subsystem The main agricultural areas are in the Southern (Romanian) Plain, in the basins of Olt

    and Jiu, and in Moldavia, in the basins of Siret and Prut.

    The Western Field, with the basin of Mures and the Crises, is not very well represented, the county having hilly and forestry areas quite large, and also unused

    areas.

    TOTAL PRODUCTIVE AREAS

    The areas with high agricultural potential are also the lowest developed (Southern and North-Eastern Areas) the main reason for phenomenon being the lack of infrastructure (transport and processing altogether) and of connection with the specific market for

    the products resulting from the Environment. Due to the natural limitations and to the urbanisation and development levels

    we have different quotas for the productive agricultural areas, mostly concentrate in South and East.

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    300.829

    479

    FIGURE 17 AURORA SHAPING SOURCE INS, LAST AVAILABLE DATA AREAS ASSIGNED FOR AGRICULTURAL ACTIVITIES

    TOTAL IRRIGATED AREAS The geopolitical borders limit the access from the WESTERN area to the Tisa route

    (river which might collect naturally the Environment products in this area, on the way down to Danube, and from there, upstream to the Northern harbours or downstream to Constana). From these reason, the capitalisation index of the Environment potential of this region is limited. The other geopolitical borders (the Southern and Eastern ones) allow the access to

    navigable ways which could corridors for collecting the Environment products, implicitly the associated capitalisation potential being higher. In the absence of the access to the navigable Tisa way, the effects of the irrigated

    areas in the WESTERN area are capitalised by the impact of the road infrastructure (highway with connection to the European highway system) and, those from the

    Southern and Eastern areas might be efficiently capitalised by the use of the Danube navigable routes (the river transportation is up to 20 times cheaper than the road one).

    The main irrigated areas are in the final sector of the Danube, followed by those from the Prut basin.

    The Arad and Timis counties are an exception as they developed a channels network.

    Th

    e to

    tal a

    reas m

    ean

    t for

    ag

    ric

    ultu

    ral a

    ctiv

    ities (H

    a)

    The in

    dex pre

    sents

    th

    e to

    tal

    of

    the

    are

    as,

    in

    hecta

    res,

    desig

    nate

    d

    to

    agric

    ultu

    re.

  • AURORA Copyright AURORA-GRUP 2016 18

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    138.170

    0

    FIGURE 18 AURORA SHAPING SOURCE INS, LAST AVAILABLE DATA IRRIGATED AREAS

    CAPITAL FLOW FROM THE USE OF THE PRODUCTIVE AREAS Due to the integration of the agricultural production (processing, raising livestock,

    etc.), there are large flows of capital in the WEST region from using the Environmental potential.

    Due to the lack of infrastructure and to a weaker capacity of processing, in the areas with large potential from East and South, the capital flow from using the Environment potential is lower.

    Though, the South and North-East regions hold larger agriculture areas and more developed irrigation networks, they do not succeed to capitalise, to turn into income

    these natural and infrastructure potentials. The main Western centres, the counties of Timis, Arad and Bihor succeed the best to turn into capital the agricultural products, and this happens in Suceava, Iasi

    and Botosani in North-East;

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    75.456.349

    2.244.037

    FIGURE 19 AURORA SHAPING SOURCE EUROSTAT, LAST AVAILABLE DATA INCOMES FROM AGRICULTURAL PRODUCTIONS

    To

    tal ir

    rig

    ate

    d a

    reas (H

    a)

    The

    index

    pre

    sents

    are

    as

    equip

    ped

    with

    sew

    era

    ge

    and/

    or

    irrigate

    d p

    ipes s

    yste

    m a

    t county

    level.

    Th

    e in

    co

    me resu

    lting

    fr

    om

    p

    rim

    ary

    cap

    italis

    ing

    th

    e

    natu

    ral

    po

    ten

    tial

    (Euro

    from

    the a

    gric

    ultu

    ral p

    roductio

    n)

    The

    index

    pre

    sents

    th

    e

    incom

    e

    achie

    ved

    from

    explo

    iting

    the

    natu

    ral

    Enviro

    nm

    enta

    l pro

    ductio

    n.

  • AURORA Copyright AURORA-GRUP 2016 19

    THE CAPACITY TO PROVIDE FOR THE OWN POPULATIONS NEEDS FROM USING THE ENVIRONMENTAL RESOURCES Capitalising the natural Environmental potential from the agricultural products has as

    purpose to provide for the populations food safety and for ensuring the basis for the future demographic development.

    The Southern counties, in the vicinity of the Capital, due to their attraction to it and as result of the depopulation, as well as due to the large agriculture areas, may provide more easily for the populations use.

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    1.859

    12

    FIGURE 20 - AURORA SHAPING SOURCE INS, LAST AVAILABLE DATA EURO/CAPITA OF THE AGRICULTURAL PRODUCTION

    THE INTENSITY AND THE EFFICIENCY OF THE USE OF THE OWN NATURAL POTENTIAL The efficiency of the natural potential use distinguished areas with higher efficiencies

    and larger productions, especially in the WESTERN area (Arad and Timi), Braov and in the final sector of Danube. We can notice in most of the territory a smaller intensity in using the natural potential

    and a lower efficiency. The intensity of the potential use is higher in the West (Timis and Arad), in

    Centre (Brasov) and in South-East (Constanta, Calarasi, Ialomita and Braila).

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    35.507

    684

    FIGURE 21 AURORA SHAPING SOURCE INS, LAST AVAILABLE DATA EURO/HA OF THE AGRICULTURAL PRODUCTION

    Th

    e

    cap

    acity

    to

    u

    se

    the

    ow

    n

    en

    vir

    on

    men

    t to

    p

    ro

    vid

    e

    for

    the

    reso

    urces

    need

    ed

    fo

    r

    the

    ow

    n

    po

    pu

    latio

    n (E

    uro

    /Capita

    )

    The

    index

    pre

    sents

    th

    e

    ratio

    betw

    een

    the

    incom

    es

    resulte

    d

    from

    th

    e

    capita

    lisatio

    n of

    the Enviro

    nm

    ent

    pote

    ntia

    l

    and th

    e n

    um

    ber o

    f pers

    ons.

    Th

    e in

    ten

    sity

    an

    d e

    fficie

    ncy in

    usin

    g

    the p

    ro

    du

    ctiv

    e la

    nd

    s (E

    uro

    /Ha)

    The

    index

    pre

    sents

    th

    e

    ratio

    betw

    een

    the

    incom

    e

    achie

    ved

    from

    capita

    lisin

    g

    the

    Enviro

    nm

    enta

    l pote

    ntia

    l

    and th

    e exis

    ting are

    as fo

    r th

    is.

    It is

    an

    index of

    inte

    nsity

    and effic

    iency in

    th

    e

    land u

    se.

  • AURORA Copyright AURORA-GRUP 2016 20

    TOTAL LIVESTOCK The livestock decreased a lot compared to the historic landmark of the livestock populations in 1989/ 1990, which lead to an expansion of the sheep breeders to the

    free areas which prior had large cattle and swine populations. Breeding large animals (cattle, horses) which were traditional in the hill areas

    reduced significantly currently only the Northern, North-Eastern areas presenting significant numbers. The swine breeding remained developed only in Timis County (this county

    having larger stocks than the entire South-Eastern Development Region). The sheep stock migrated from the hilly region of the Carpathians to the plain areas, the only county with traditionally large numbers still being Sibiu.

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    212

    159.550

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    30

    640.247

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    1.066

    571.545

    Cattle Swine Sheep

    FIGURE 22 - AURORA SHAPING SOURCE INS, LAST AVAILABLE DATA LIVESTOCK NUMBERS

    Liv

    esto

    ck p

    op

    ula

    tion

    s

    There

    are

    pre

    sente

    d

    the

    livesto

    ck

    popula

    tion,

    on

    type o

    f bre

    edin

    g.

  • AURORA Copyright AURORA-GRUP 2016 21

    The Status of the Social Subsystem POPULATION

    The population increase or reduction is a strong synthetic indicator on the living condition. We have two categories of regions with

    populations growth in Romania, those from Moldavia (Iai, Suceava, Vaslui) and those from counties which are regional centres (Timi, Constana). At Capitals level, we have continuous decrease in populations number, after 1994, and only in the first years after 1990 there was an increase in the population. (fig. 23)

    0

    5.000.000

    10.000.000

    15.000.000

    20.000.000

    25.000.000

    1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014

    Evolutia populatiei pe regiuni

    Nord - Vest / North - West Centru / Center Nord - Est / North - East Sud - Est / South - East Sud - Muntenia / South - Muntenia Bucureti - Ilfov / Bucharest - Ilfov Sud - Vest Oltenia / South - West Oltenia Vest / West

    FIGURE 23 - AURORA SHAPING SOURCE INS, LAST AVAILABLE DATA POPULATIONS

    Starting from a predominantly rural population by the end of the Second World War, Romania strongly urbanised itself, sometimes wildly, until 1990. 1985 is the year of balance, starting which the urban population is higher than the rural one. After 1990 the total populations decline is starting, keeping the majority of the urban population, the difference between urban and rural remaining relatively constant after 2005. (fig. 24)

    0

    2000

    4000

    6000

    8000

    10000

    12000

    14000

    1930

    1931

    1932

    1933

    1934

    1935

    1936

    1937

    1938

    1939

    1940

    1946

    1947

    1948

    1949

    1950

    1951

    1952

    1953

    1954

    1955

    1956

    1957

    1958

    1959

    1960

    1961

    1962

    1963

    1964

    1965

    1966

    1967

    1968

    1969

    1970

    1971

    1972

    1973

    1974

    1975

    1976

    1977

    1978

    1979

    1980

    1981

    1982

    1983

    1984

    1985

    1986

    1987

    1988

    1989

    1990

    1991

    1992

    1993

    1994

    1995

    1996

    1997

    1998

    1999

    2000

    2001

    2002

    2003

    2004

    2005

    2006

    2007

    2008

    2009

    2010

    2011

    2012

    2013

    2014

    Evolutia populatie -

    Urban Rural FIGURE 24 - AURORA SHAPING SOURCE INS, LAST AVAILABLE DATA POPULATIONS ON ENVIRONMENT

    Populations Evolution

    Populations Evolution on Regions

  • AURORA Copyright AURORA-GRUP 2016 22

    The urbanisation process was accompanied by the industrialisation one until 1990, which needed larger populations in the urban centres,

    where the industrial capacities have been located. The larger in numbers generations, born during 1968-1969, are already 46-47 years old in 2015. The generations born during the last 23

    years are much smaller in number. The last 20 years trend is of increase in the active population and in that over this age, with the reduction in the number of young and very young populations. Since 2009 the young population (6-18 years old) is inferior in number to

    that over the active age (65 years old and more). (fig. 25)

    0

    5.000.000

    10.000.000

    15.000.000

    20.000.000

    25.000.000

    1968 1969 1970 1975 1980 1985 1990 1995 2000 2005 2010 2014

    Evolutia populatiei pe categorii de varsta

    0-5 6-18 19-65 66-100 FIGURE 25 - AURORA SHAPING SOURCE INS, LAST AVAILABLE DATA POPULATIONS BY AGE

    The populations increase, especially the active one, that took place until 1990, is due to some specific terms. The entire population had been captive inside the state borders, not being the possibility for migration. The effects of the sexual revolution of the 70s were very slightly visible in the populations social behaviour, the means for contraception being very limited and even risky. This situation of the general decrease of population number and, mostly of the young age groups, after 1990, is also explained by the changes in the fertility rate. Until the 1967 peak, we can notice a trend of reduction of the fertility rate which continues afterwards. After

    1990, the fertility rate stabilises around 1.2. (fig. 26)

    0,00

    0,50

    1,00

    1,50

    2,00

    2,50

    3,00

    3,50

    4,00

    Rata fertilitatii

    FIGURE 26 - AURORA SHAPING SOURCE INS, LAST AVAILABLE DATA POPULATIONS FERTILITY RATE

    Populations Evolution on Age Category

    Fertility Rate

  • AURORA Copyright AURORA-GRUP 2016 23

    Th

    e e

    mp

    loym

    en

    t rate

    - Co

    un

    ties

    The in

    dex pre

    sents

    th

    e ra

    tio

    betw

    een

    the

    effe

    ctiv

    ely

    em

    plo

    yed

    popula

    tion

    and

    the

    age-a

    ctiv

    e

    popula

    tion,

    with

    w

    ork

    capacity

    , at

    county

    level.

    Em

    plo

    ym

    en

    t rate

    C

    ou

    nty

    Cap

    itals

    The

    index

    pre

    sents

    th

    e

    ratio

    betw

    een

    the

    effe

    ctiv

    ely

    em

    plo

    yed

    popula

    tion

    and

    the

    activ

    e-a

    ge

    popula

    tion,

    able

    to

    w

    ork

    , at

    the le

    vel

    of c

    ounty

    capita

    ls.

    THE EMPLOYMENT RATES OF THE ACTIVE POPULATION: The employment rate was preferred to the unemployment one, which may omit the unoccupied persons who are not registered (unoccupied persons, persons who do not

    receive unemployment aid, persons not registered and persons who migrated economically but are still reported with the domicile in the country). In this regard, the employment rate was calculated as ratio of the employment persons compared to

    the total active population, on genders and environments (urban rural).

    Total on Counties Higher occupancy values can be notices in several counties which we observe more

    carefully in the report. The capital and the Ilfov County have the highest occupancy rate of the active

    population. The counties of Sibiu, Timi, Cluj, Braov and Prahova have higher employment rates of the active population.

    Mainly, the orientation of the higher employment rates of the active population is from centre to the West- North-West.

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    0,000

    0,745

    FIGURE 27 - AURORA SHAPING SOURCE ONRC, LAST AVAILABLE DATA EMPLOYMENT RATES 1

    County Capitals The highest values are in the Capital, but they are very close to those from Timi, Sibiu, Cluj and Braov Counties. The Arad County is very close to the Timi County in the Western area, continuing the West, North-West line of the counties with rates

    around 30 %.

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    0,000

    0,368

    FIGURE 28 - AURORA SHAPING SOURCE ONRC, LAST AVAILABLE DATA EMPLOYMENT RATES 2

  • AURORA Copyright AURORA-GRUP 2016 24

    Th

    e em

    plo

    ym

    en

    t rate

    in

    th

    e u

    rb

    an

    en

    vir

    on

    men

    t

    excep

    ting

    fo

    r

    the

    cap

    itals

    The

    index

    pre

    sents

    th

    e

    ratio

    betw

    een

    the

    effe

    ctiv

    ely

    em

    plo

    yed

    popula

    tion

    and

    the

    age-a

    ctiv

    e

    popula

    tion,

    able

    to

    w

    ork

    , at

    urb

    an

    localitie

    s le

    vel, e

    xceptin

    g fo

    r the c

    ounty

    capita

    ls.

    Th

    e

    em

    plo

    ym

    en

    t rate

    in

    th

    e

    ru

    ral a

    rea

    The in

    dex p

    resents

    the ra

    tio

    betw

    een

    the

    effe

    ctiv

    ely

    em

    plo

    yed

    popula

    tion

    and

    the

    activ

    e

    age

    popula

    tion,

    able

    to

    w

    ork

    , at

    rura

    l

    localitie

    s le

    vel.

    The urban environment, excepting for the county capitals The Ilfov County is the most urbanised one, being also in the vicinity of the

    Capital, reason for which it also presents the highest employment rates of the active population. We have low employment rates in the rural environment, in the WESTERN

    region, excluding the capital, with values about 10%.

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    0,000

    0,444

    FIGURE 29 - AURORA SHAPING SOURCE ONRC, LAST AVAILABLE DATA EMPLOYMENT RATES 3

    The rural environment We have the lowest employment rates of the active population in the rural environment, with values below 5%, the only exception being the Ilfov County.

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    0,000

    0,145

    FIGURE 30 - AURORA SHAPING SOURCE ONRC, LAST AVAILABLE DATA EMPLOYMENT RATES 4

    POTENTIAL OF UNEMPLOYED ACTIVE POPULATION: Only District 1 of the Capital has a (large) deficit of active population.

    We have large numbers of active, unemployed populations in the North-East and South-East areas.

  • AURORA Copyright AURORA-GRUP 2016 25

    Activ

    e u

    nem

    plo

    yed

    po

    pu

    latio

    n

    The

    index

    pre

    sents

    th

    e

    ratio

    betw

    een

    the

    unem

    plo

    yed

    popula

    tion

    and th

    e activ

    e-a

    ge popula

    tion,

    able

    to

    work

    , at c

    ountie

    s le

    vel.

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    -283.703,418

    273.774,000

    FIGURE 31 - AURORA SHAPING SOURCE INS, LAST AVAILABLE DATA POPULATIONS ON ENVIRONMENTS

    Under such terms of the active populations employment, the values of the annual salary incomes, in Euro, are presented below.

    GROSS AVERAGE SALARY INCOMES This index confirms also the particular situation of the Capital District 1, where the

    average salaries value is more than 12,000 Euro/ year. The map presents numbers up to 8,000 euro/capita, which is at the normal

    functioning border of a democratic society. Excepting for the Capital and the Ilfov County, we notice high levels of the salaries in the Sibiu and Gorj counties.

    The situation of the Timis and Cluj regional capitals is normal. A particular situation is in the Arad and Arges counties (the Renault plants)

    which go over their level. In addition, regional capitals like Iasi, Dolj and Constana are below their level.

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    0,00

    7.859,19

    FIGURE 32 - AURORA SHAPING SOURCE ONRC, LAST AVAILABLE DATA SALARIES

    Averag

    e s

    ala

    ry in

    co

    mes

    The

    index

    pre

    sents

    th

    e

    ratio

    betw

    een

    the

    tota

    l am

    ounts

    fo

    r th

    e

    sala

    ries

    paym

    ent

    (in

    the

    public

    and

    priv

    ate

    enviro

    nm

    ents

    ) and

    the

    tota

    l

    activ

    e a

    ge p

    opula

    tion.

  • AURORA Copyright AURORA-GRUP 2016 26

    The status of the Economic subsystem The values of the Gross Income in Euro (calculated as sum of the public and private

    incomes) present a concentration of the highest levels in the Capital and in the neighbouring county, Ilfov. District 1 of the Capital has values much higher than the

    others, with over 200,000 euro/capita. At their turn, the Capital districts have values of the GI around 50,000 euro/capita. However, the main issue is the low level (below 8,000 Euro/capita) of this indicator in

    several counties of the country.

    GROSS INCOMES We have calculated this index as sum of the incomes achieved at community/ reporting levels, comprising both public and declared incomes (business turnovers).

    The maxim representation limit is of 8,000 Euro/ capita, considered as minimal level for a functional democratic society. The incomes polarisation at Capitals level is obvious, as result of a centralised development model, heir of the decision-make model before 1990. At counties levels, we notice a significant development in the counties of Sibiu

    (based on the investment capitals, predominantly foreign) and Arges (premises of the Renault factories). The major risks remain for the North-East, East, South, South-West areas.

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    2.863,32

    8.000,00

    FIGURE 33 - AURORA SHAPING SOURCE ONRC, LAST AVAILABLE DATA GROSS INCOMES (GI)

    THE WEIGHT OF TURNOVER IN TOTAL GROSS INCOMES The index weighs the contribution of the private business environment in the total of Gross Incomes at county level (the analyse can be sent further up to community

    level). For this index, again the Capital, the Ilfov County and the counties of Sibiu and Arges have particular rankings.

    Here, we notice a geographically connected area (Timi, Arad, Bihor, Cluj, Mure, Braov, Prahova) with large development potential and with high business levels.

    Gro

    ss in

    co

    me (E

    uro

    /Capita

    )

    The in

    dex p

    resents

    the s

    um

    of

    all

    incom

    es

    (priv

    ate

    and

    public

    )

    achie

    ved at

    county

    le

    vel,

    reporte

    d to

    the p

    opula

    tion.

  • AURORA Copyright AURORA-GRUP 2016 27

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    0,81

    0,98

    FIGURE 34 - AURORA SHAPING SOURCE ONRC, LAST AVAILABLE DATA BUSINESS TURNOVER IN GI

    THE TURNOVER DISTRIBUTION ON COUNTIES Except for the counties of Alba, Arge, Harghita and Hunedoara (the capital of the Ilfov County is the state capital, all counties present a phenomenon of centralisation of the economic activities in the County capital.

    0 10.000.000 20.000.000 30.000.000 40.000.000 50.000.000 60.000.000

    Alba

    Arad

    Arges

    Bacau

    Bihor

    BistritaNasaud

    Botosani

    Braila

    Brasov

    Bucuresti

    Buzau

    Calarasi

    CarasSeverin

    Cluj

    Constanta

    Covasna

    Dambovita

    Dolj

    Galati

    Giurgiu

    Gorj

    Harghita

    Hunedoara

    Ialomita

    Iasi

    Ilfov

    Maramures

    Mehedinti

    Mures

    Neamt

    Olt

    Prahova

    Salaj

    SatuMare

    Sibiu

    Suceava

    Teleorman

    Timis

    Tulcea

    Valcea

    Vaslui

    Vrancea

    Sector 1

    Sector 2

    Sector 3

    Sector 4

    Sector 5

    Sector 6

    Venituri brute pe medii de locuire - Mii Euro

    Resedinte Orase Comune

    FIGURE 35 AURORA SHAPING SOURCE ONRC, LAST AVAILABLE DATA TURNOVER DISTRIBUTION ON COUNTIES - RON

    Th

    e

    weig

    ht

    of

    the

    bu

    sin

    ess

    turn

    over (

    %)

    The in

    dex re

    pre

    sents

    th

    e ra

    tio

    betw

    een th

    e in

    com

    es achie

    ved in

    th

    e

    priv

    ate

    enviro

    nm

    ent

    and th

    e to

    tal

    of

    gro

    ss in

    com

    es a

    t county

    level.

    Tu

    rn

    over d

    istr

    ibu

    tion

    on

    Co

    un

    ties

    The gra

    ph re

    pre

    sents

    th

    e dis

    tributio

    n of

    the in

    com

    es achie

    ved by th

    e priv

    ate

    enviro

    nm

    ent o

    n c

    apita

    l enviro

    nm

    ents

    and c

    ountie

    s.

    Gross income on habitation environment Thousands of Euro

  • AURORA Copyright AURORA-GRUP 2016 28

    TURNOVER DISTRIBUTION ON HABITATION ENVIRONMENTS The Capital concentrates about one third of the total turnover at national level.

    The counties capitals concentrate about have of the Counties Turnovers, but they do not equal the Capital.

    0 200.000.000.000 400.000.000.000 600.000.000.000 800.000.000.000

    Sector 1

    Sector 2

    Sector 3

    Sector 4

    Sector 5

    Sector 6

    Bucuresti

    Resedinte

    Orase

    Rural

    Urban

    Judete

    CIfra de Afaceri pe Medii

    FIGURE 36 AURORA SHAPING SOURCE ONRC, LAST AVAILABLE DATA TURNOVER ON ENVIRONMENTS - RON

    Tu

    rn

    over d

    istr

    ibu

    tion

    on

    hab

    itatio

    n

    en

    vir

    on

    men

    ts

    The gra

    ph pre

    sents

    a synth

    esis

    of

    the

    turn

    over

    dis

    tributio

    n

    on

    habita

    tion e

    nviro

    nm

    ents

    Turnover on Environments

    Counties

    Urban

    Rural

    Towns

    County capitals

    Bucharest

    District 6

    District 5

    District 4

    District 3

    District 2

    District 1

  • AURORA Copyright AURORA-GRUP 2016 29

    Conclusions Romania has a huge natural, agricultural potential in the areas of the basins of

    Danube, Prut and Siret. Though the Danube is navigable, the collection of products resulting from the use of the Environment potential is not efficient, facts leading to a

    low capitalisation. (fig. 17 reproduced asides) The productions are low in the Danube upstream and

    in the downstream Romanian sector, the productions are

    average and, in the lack of an efficient capitalisation system (the transport infrastructure, storage capacities,

    conditioning and access on the markets) have an average degree of capitalisation.

    The lack of a collection, transport, storage, conditioning and opening system leads to the producers insecurity, the use of a bad road infrastructure for shipment, with much higher costs and in bad shipment

    conditions, and, eventually, to the loss of substantial incomes. The situation is even worst in the basin of Prut and Siret.

    From these reasons, the agriculture productions have much higher capitalisation values in the basin of Mures, Cris and in the Western Plain, though this area potential

    is much lower. (fig. 19 reproduced aside) The productions are better integrated in the WESTERN

    area (area with the highest swine livestock) and the local infrastructure, though only road infrastructure, allows for a better capitalisation. Not lately, the

    proximity and the direct connections with the European market contribute to the increase of this capitalisation factor in this area.

    In opposition, the areas from N-E and S, S-E remain poor, just because to the incapacity of capitalisation of the existing natural potential, but also to the incapacities to

    develop significantly other sources of income from other industries or activities. (fig. 33 reproduced aside)

    The regions where there is the highest agricultural potential are also the lowest developed because the national strategies and policies of development change by each government in

    Romania and, sometimes, several times during the same government, and the use of the free Environment potential is not a national priority.

    The efficiency of the use of the environment potential at national level is very low and the capital flows from using it are very low.

    The fertility rate at national level indicates the 1.2 benchmark from a population

    which can no longer come back or increase. Thus, the only solution for a demographic growth may be an infusion of population/ populations, supported by reliable public

    policies in this regard. Ensuring better living conditions for the next generations must be subject to

    national strategies in the field.

    The pressure of this demographic situation is emphasised also by the low employment rates. We have in the urban environment (small towns) and in the rural

    one we have particularly low employment rates (below 10%). The N-E and S-W areas distinguish themselves as having the lowest employment rates.

    The disproportionate economic development of the Capital compared to the rest of the territory and of the county capitals compared to the counties lead to demographic

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    2.863,32

    8.000,00

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    300.829

    479

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    75.456.349

    2.244.037

  • AURORA Copyright AURORA-GRUP 2016 30

    and economic concentrations in these urban poles, highlighting the depopulation of rural environment and of the urban one of the small towns.

    Only 14 counties and the 6 districts of the Capital present a gross income per capita over the minimal limit of normality of 8,000 euro/capita. Nor in the counties situation, this index is not finally relevant, the values concentrations being achieved in the

    county capitals and partly in the urban environment, as well as in the rural environment adjacent to the capitals or to significant urban centres.

    The rest of 27 counties present high social and economic risks. We observe a development model starting from the Western areas of Romania and continuing through the central areas up to the Capital.

    We notice a platoon of 16 counties where the most performant indexes show up, both for Environment, and Social potential use or of the Changes system ones.

    For these reasons, the area of these 16 counties is the most recommended destination for the new investments and the intended area for particular development of the

    national infrastructure networks. Calculating the ranking for all counties of Romania,

    based on the defined indexes, also used in the report, we have the following situation highlighting and defining the above.

    The report continues with an in-depth analyse, at community level, of the two counties from the WEST region which are among the

    most performing in Romania and, for the time being, the only ones connected to the European highway system Arad and Timis.

    1,00

    2,00

    3,00

    4,00

    5,00

    0,24

    10,00

  • AURORA Copyright AURORA-GRUP 2016 31

    Brief Presentation WEST Region The WEST development region is the main entry area to

    Romania, both by road (corridor IV entering the country via Nadlac, connecting at this time Arad and Timisoara to the

    EU highway system) and railway one, the main access being made via Curtici - Arad, the ulterior shipment channels following the southern route to Sofia and Istanbul,

    through Timisoara and Drobeta Turnu Severin, or the central route, to Bucharest and the Constanta Harbour,

    through Deva-Brasov-Bucharest. The Highway A1 also makes the connection with the airports from Timisoara and Arad, and the highway A4 (part

    of the North-South European corridor) is connected to it. The Arad Szeged distance is of 80 Km and the Arad Budapest one is of 270Km. The distance to Vienna is of 500 Km. The distance between Arad and Timisoara (i.e. between the closest exits on the

    highway) is of 30 Km. The distance from

    Timisoara to Belgrade is of 151 Km and to Sofia is of 502 Km.

    The population of the two urban centres, Timisoara (312,000 persons) and Arad (165,000 persons) cumulates 477,000

    persons without taking into account the population in the localities between the two

    of them. Taking into account the populations from the

    localities neighbouring the two urban centres, we have a cumulated population of 710,000 persons. thus, the polarisation and development axis (Arad Timisoara) may become a major urban agglomeration in the region comparable to Budapest (1,728,000

    persons) or Belgrade (1,339,000 persons), reaching the European ranking of urban centre (from 1,000,000 persons).

    The growth rhythms in this area are very high and there are localities with mixt

    ethnicity in most of the territory from this area, some of them established or even populated by German, Hungarian, Serbian,

    Croatian, Bulgarian ethnics etc. The region developed the system of

    localities and a specific organisation during an Austro-Hungarian Empire project and still maintains a distinct specificity due to

    the illuminist influences of the Europe.

    Timisoara -Arad Polarization Axis

    Density

    inhabitant/ sqkm (2011)

    LEGEND

  • AURORA Copyright AURORA-GRUP 2016 32

    DEVELOPMENT PERSPECTIVES IN ARAD and TIMIS The Status of the Environment Subsystem PRODUCTIVE AREAS PER INHABITANT The situation of the agricultural, horticultural, winery lands in Arad and Timis counties,

    per inhabitant is presented below.

    The plots availability is higher in hilly, less populated areas.

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    0,00

    32,16

    FIGURE 37 - AURORA SHAPING SOURCE APL, INS, LAST AVAILABLE DATA COMPOSITE INDEX UAT WEST 1

    CAPITAL FLOWS FROM THE USE OF THE PRODUCTIVE AREAS The values for this index have been calculated according to the effective production

    resulted from the use of the areas.

    The index is calculated by summing up the production achieved at community level by the use of the Environment Resources (and not from the Change processes industrials, services, financial-banking, etc.). The amounts reaching effective results are represented, results attached to the environment criteria (agriculture, horticulture,

    wine production).

    The traditional areas for wine production present the highest levels of income from using the Environment.

    The town of Recas capitalises its winery potential and gets the highest income from using the Environment, followed by the town of Lipova and the community of

    Siria, both with wine production specificity.

    Lan

    ds p

    er in

    hab

    itan

    t

    The

    index

    pre

    sents

    th

    e

    ratio

    re

    sultin

    g

    from

    th

    e

    agric

    ultu

    re

    are

    as

    and

    the

    com

    munity

    resid

    ent p

    opula

    tion.

  • AURORA Copyright AURORA-GRUP 2016 33

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    0,00

    6.341.159,94

    FIGURE 38 AURORA SHAPING SOURCE APL, INS, LAST AVAILABLE DATA COMPOSITE INDEX UAT WEST 2

    THE CAPACITY TO PROVIDE FOR THE POPULATIONS NEEDS FROM THE ENVIRONMENT RESOURCES The hilly areas, with wine production specificity and the plain areas with higher

    production distinguish themselves as being the most performant in providing for the own needs from the existing Environment resources. The amounts obtained as income

    from the Environment potential capitalisation are not higher than 2,150 Euro/Capita. The localities with the highest income from Environment resources exploitation are Reca, Lipova, Siria, Jamu Mare, Dudestii Vechi and Pancota. Especially the small localities with small population are performant in this regard.

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    0,00

    2.149,64

    FIGURE 39 - AURORA SHAPING SOURCE APL, INS, LAST AVAILABLE DATA COMPOSITE INDEX UAT WEST 3

    In

    co

    me ach

    ieved

    fr

    om

    p

    rim

    ary cap

    italis

    atio

    n

    of

    the n

    atu

    ral

    po

    ten

    tial

    (Euro

    fro

    m agric

    ultu

    ral

    pro

    ductio

    n)

    The in

    dex pre

    sents

    th

    e in

    com

    e achie

    ved by

    explo

    iting th

    e E

    nviro

    nm

    ent p

    ote

    ntia

    l, at c

    om

    munity

    level.

    Cap

    acity

    to p

    rovid

    e fo

    r po

    pu

    latio

    ns

    need

    s

    fro

    m

    the

    En

    vir

    on

    men

    t reso

    urces

    (Eu

    ro

    /C

    ap

    ita)

    The in

    dex pre

    sents

    th

    e ra

    tio betw

    een

    the

    achie

    ved

    incom

    e

    from

    th

    e

    Enviro

    nm

    ent

    pote

    ntia

    l capita

    lisatio

    n

    and

    the

    com

    munitie

    s

    popula

    tions.

  • AURORA Copyright AURORA-GRUP 2016 34

    THE INTENSITY AND THE EFFICIENCY OF THE ENVIRONMENT POTENTIAL USE The systems for collecting and conditioning the productions represent the main

    limitation of the Environment production. Another limitation is given by the sporadic use of the irrigation systems and on much smaller areas than the potential ones (there is a pipes system not used at its capacity).

    We have as positive factors a quite good compacting of the properties, the use of genetically performant materials and a support (subventions) systems of the

    agriculture production. Generally, the Environment given potential is not used efficiently, and there are only few exceptions in this regard.

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    0,01

    1,70

    FIGURE 40 - AURORA SHAPING SOURCE APL, INS, LAST AVAILABLE DATA COMPOSITE INDEX UAT WEST 4

    TOTAL LIVESTOCK We have currently quite low levels of livestock in the hilly areas where livestock

    breeding was traditional due to the absence of a guaranteed collecting system for the products of animal origin. Higher numbers show up in the plain area, particularly in

    livestock breeding farms (for cattle and swine). Breeding large animals (cattle, horses) traditional for the hilly areas knew a powerful reduction, currently the hilly grassland not being used at their potential;

    The swine breeding is well represented in some specialised centres, for the rest of the territory there is livestock only in the populations households; We have large sheep populations in the plain areas, as proof for this activity change.

    Cattle Swine Sheep

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    0,00

    4.192,00

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    0,00

    45.060,00

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    0,00

    12.610,00

    FIGURE 41 - AURORA SHAPING SOURCE INS, LAST AVAILABLE DATA LIVESTOCK

    Livestock The livestock is presented on species and communities.

    Th

    e in

    ten

    sity

    an

    d th

    e effic

    ien

    cy of

    the

    En

    vir

    on

    men

    tal

    po

    ten

    tial

    use

    (Eu

    ro

    /H

    a)

    The

    index

    pre

    sents

    th

    e

    ratio

    betw

    een

    the

    achie

    ved

    incom

    e

    from

    capita

    lisin

    g

    the

    Enviro

    nm

    ent

    pote

    ntia

    l

    and th

    e u

    sed a

    rea in

    this

    purp

    ose.

  • AURORA Copyright AURORA-GRUP 2016 35

    Status of the Social Subsystem The population in the two counties lived big historical fluctuations which were felt both in the urban environment and in the rural one. However, in time, the urban

    environment strengthened and is far above the rural populations.

    0

    100.000

    200.000

    300.000

    400.000

    500.000

    600.000

    700.000

    800.000

    1948 1956 1966 1977 1992 2002 2011 2015

    Evolutia populatiei totale

    ARAD TIMIS

    FIGURE 42 AURORA SHAPING SOURCE APL, INS, LAST AVAILABLE DATA POPULATION

    The urban and rural populations have opposite evolutions in this general situation of the populations evolution. Major concentration of the population shows up in the two capitals (Arad and Timisoara) and in their neighbouring areas.

    0

    50.000

    100.000

    150.000

    200.000

    250.000

    300.000

    350.000

    400.000

    450.000

    1948 1956 1966 1977 1992 2002 2011 2015

    Evolutia populatiei urbane

    Arad Timis

    0

    50.000

    100.000

    150.000

    200.000

    250.000

    300.000

    350.000

    400.000

    450.000

    500.000

    1948 1956 1966 1977 1992 2002 2011 2015

    Evolutia populatiei rurale

    Arad Timis

    FIGURE 43 - AURORA SHAPING SOURCE APL, INS, LAST AVAILABLE DATA POPULATION

    AGE DISTRIBUTION The young populations, born after 1990, are small as volume, their number decreasing a lot compared to the average of the populations prior to that year.

    0

    10000

    20000

    30000

    40000

    50000

    60000

    Distributia pe varste a populatiei masculine

    AR Total TM Total

    0

    10000

    20000

    30000

    40000

    50000

    60000

    Distributia pe varste a populatiei feminine

    AR Total TM Total

    FIGURE 44 - AURORA SHAPING SOURCE APL, INS, LAST AVAILABLE DATA POPULATION

    The evolution of the total population

    The evolution of the urban population The evolution of the rural population

    Age distribution of the male population Age distribution of the female population

  • AURORA Copyright AURORA-GRUP 2016 36

    DEMOGRAPHY The rural areas are weakly populated, both in the hilly and plain ones, as result of the

    attraction of the large urban centres and of the sensible differences in the living conditions. The population is concentrated in the plain area and in the urban centres,

    especially in the two capitals.

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    364,00

    303.737,00

    FIGURE 45 - AURORA SHAPING SOURCE APL, INS, LAST AVAILABLE DATA POPULATION

    COMMUNITIES VITALITY PEARL INDEX The communities from the hilly areas present the lowest values of the communities vitality index, there also being the biggest issues related to the areas depopulation,

    including bad living conditions. We notice that vitality is higher in communities with large populations of Rroma ethnicity.

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    0,40

    3,05

    FIGURE 46 AURORA SHAPING SOURCE APL, INS, LAST AVAILABLE DATA COMPOSITE INDEX UAT WEST 5

    Vita

    lity

    The in

    dex p

    resents

    the ra

    tio (P

    earl)

    betw

    een th

    e popula

    tion beyond th

    e upper

    age

    limit

    for

    work

    and

    that

    belo

    w

    the

    infe

    rior

    age

    limit

    to

    access

    the

    labour

    mark

    et.

    Dem

    og

    rap

    hy

    The

    map

    pre

    sents

    th

    e

    num

    ber

    of

    pers

    ons liv

    ing in

    vario

    us c

    om

    munitie

    s.

  • AURORA Copyright AURORA-GRUP 2016 37

    THE ACTIVE POPULATIONS OCCUPANCY RATE The municipality of Arad draws in active population also from the neighbouring

    localities and the municipality of Timisoara has developed significant production capacities also in the neighbouring communities.

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    0,01

    1,70

    FIGURE 47 - AURORA SHAPING SOURCE APL, INS, LAST AVAILABLE DATA COMPOSITE INDEX UAT WEST 5

    GROSS AVERAGE SALARIES INCOME The highest average incomes from salaries register in the municipality of Arad and in the communities neighbouring the municipality of Timisoara.

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    45,52

    29.525,05

    FIGURE 48 AURORA SHAPING SOURCE APL, INS, LAST AVAILABLE DATA COMPOSITE INDEX UAT WEST 5 - EUR

    Th

    e o

    ccu

    pan

    cy r

    ate

    This

    in

    dex has been calc

    ula

    ted as ra

    tio

    betw

    een

    the

    em

    plo

    yed

    popula

    tion

    (with

    out

    takin

    g in

    to a

    ccount th

    e s

    elf-e

    mplo

    yed pers

    ons

    w

    ho w

    ork

    in

    th

    eir

    ow

    n household

    ), and th

    e

    tota

    l popula

    tion o

    f activ

    e a

    ge (b

    etw

    een 1

    8 a

    nd

    65 y

    ears

    old

    ).

    An

    nu

    al a

    verag

    e in

    co

    me fr

    om

    sala

    rie

    s

    This

    in

    dex has been calc

    ula

    ted as ra

    tio

    betw

    een

    the

    annual

    sala

    ry

    incom

    e

    and

    the

    num

    ber o

    f pers

    ons o

    f activ

    e a

    ge.

  • AURORA Copyright AURORA-GRUP 2016 38

    The Status of the Changes Subsystem GROSS INCOME The main income centres from the area are Timisoara (over 6 billion Euro) and Arad (over 3.5 billion Euro).

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    608.400,34

    6.157.989.158,03

    FIGURE 49 AURORA SHAPING SOURCE APL, INS, LAST AVAILABLE DATA COMPOSITE INDEX UAT WEST 6 - EURO

    DYNAMISM AND STAGNATION Though there is no direct relation/ correlation between them, the two weights values

    oppose/ are antagonist, thus the communities generating Turnovers from larger private activities have smaller public Salaries and the opposite.

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    0,01

    1,00

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    0,00

    1,00

    1 2

    FIGURE 50 AURORA SHAPING SOURCE APL, INS, LAST AVAILABLE DATA COMPOSITE INDEX UAT WEST 7

    Gro

    ss in

    co

    me (

    Eu

    ro

    )

    The in

    dex pre

    sents

    th

    e sum

    of

    the priv

    ate

    and p

    ublic

    incom

    es, a

    chie

    ved in

    the c

    om

    munity

    .

    The turnover weight in the Gross incomes - 1 The index presents the ratio between the Turnover from private businesses and the total

    of Gross Incomes. The weight of the public salaries in the total of the salaries in the community - 2 There is a ratio between the total annual paid salaries in the public system compared to

    the total annual paid salaries in the community.

  • AURORA Copyright AURORA-GRUP 2016 39

    DEVELOPMENT OF THE INDUSTRY AND SERVICES

    Values calculated in Euro of the primary, secondary and tertiary sectors (industry, services, trade, finance-banks, etc.).

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    11.840,79

    256.072.929,69

    1

    min

    2

    3

    4

    5

    6

    7

    8

    9

    MAX

    9.867,33

    213.394.108,08

    2

    FIGURE 51 - AURORA SHAPING SOURCE APL, INS, LAST AVAILABLE DATA COMPOSITE INDEX UAT WEST 8

    The food products market - 1

    Size index estimating the volume of the food products market in a community. The non-food products market - 2 Size index estimating the volume of the non-food products market in a community.

  • AURORA Copyright AURORA-GRUP 2016 40

    Conclusions The Environment potential also given by the existing channels network in this area for the regularisation of the

    water flows and also for irrigation (2,100 Ha in Arad of which effectively irrigated 50 Ha and 1,600 Ha in Timis if which effectively irrigated 1,500 Ha) is not enough used,

    the cereals crops placing themselves at values of 4,000 4,500 To/Ha. The total resulted agricultural production is

    between 3,000 and 4,000 euro/Ha in the two Counties (fig. 38 reproduced aside). The processing of the primary productions leads to a significant increase of the values

    achieved by the Environment, and, implicitly, to a higher trading potential on the market.

    Of the total of the Arad County population (430,000 inhabitants), 135,000 are employed and/ or self-employed in the agriculture, and 90,000 work in the secondary and tertiary sectors. In the Timis County, of the total population (680,000 inhabitants)

    160,000 are employed and/ or self-employed in the agriculture, and 180,000 work in the secondary and tertiary sectors.

    The average salary is of 320 Euro/Capita in the Arad County and of 615 Euro/Capita in the Timis County (fig.48 reproduced aside). The concentration of these salary

    incomes takes place in the main urban centres, the two counties capitals, their neighbouring areas, and in few

    urban centres in the territory (Snicolau Mare, Chiineu Cri). The demographic growth does

    not necessarily follow th