A rural area of social processes present in the Sellye region, in Hungary Csilla FILÓ 2009 Salerno
Scientific background 1. The area of negative processes in the labor market  Long-term unemployment  Low education  Labor ...
Aims Components of human capital in the region to assess  Identify specific indicators of population of inactivity  Analys...
Research background <ul><li>2002-2006 </li></ul><ul><li>5 parts </li></ul><ul><ul><ul><ul><li>Statistical data analyzing 1...
Hypothesis My hypothesis of research is the following: In the cognitive society of the XXI. century the lack of human capi...
Research methods database analyzing questionnaire processing applied multivariate statistical methods mapping
Results I  Applied comparative analysis of the database 1   Area population &quot;replacement&quot; (1990-1993 indigenous ...
Results I  Applied comparative analysis of the database
Results II  Questionnaire study Distribution of education among the respondents:
Results II E ducation and unemployment indicators, the proportion of respondents among the municipalities in the region:
Results II  The economic activity rate of the respondents:
Results III  ( Multivariate analysis ) The typing of the following groups of factors were used:   1.  Individual circumsta...
Results III  Groups develop: <ul><li>Group 1 </li></ul><ul><li>Young people, </li></ul><ul><li>cohabitation in more genera...
Summary of Research Results <ul><li>I assessed factors defining Sellye micro-region’s economy and society. I collected the...
Summary of Research Results 2  2 .  I analysed the components of the area's labour-market based on statistical data and th...
Summary of Research Results 2  3 .  I defined those four groups that the most characterize the area's society with the hel...
Summary of Research Results 2  4 .  I sustain bringing different databases accumulated onto a uniform basis about the micr...
Conclusion 2  <ul><li>It is necessary to draw up indicators that are suitable for measuring certain areas’ social, demogra...
2  Thank you for your attention !
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Csilla FILO: A rural area of social processes present in the Sellye region, in Hungary

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Csilla FILO: A rural area of social processes present in the Sellye region, in Hungary

  1. 1. A rural area of social processes present in the Sellye region, in Hungary Csilla FILÓ 2009 Salerno
  2. 2. Scientific background 1. The area of negative processes in the labor market Long-term unemployment Low education Labor market inactivity Lack of human resources development institutions 2. 21 century challenges of a knowledge society Local government (local decision-making mechanisms) Active citizenship Adequate training design and training
  3. 3. Aims Components of human capital in the region to assess Identify specific indicators of population of inactivity Analysis of indicators Proposals for the reintegration
  4. 4. Research background <ul><li>2002-2006 </li></ul><ul><li>5 parts </li></ul><ul><ul><ul><ul><li>Statistical data analyzing 1990 – 2004 </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Social and cultural environment research of region </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Interviews about lifestile in region </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Survey (personal questionary) </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Local governance forums </li></ul></ul></ul></ul><ul><li>11 researcher </li></ul>
  5. 5. Hypothesis My hypothesis of research is the following: In the cognitive society of the XXI. century the lack of human capital (that is made up of knowledge capital on one hand and on the other hand of symbolic capital.) and the inadequate method of developing human resources leads to an increasingly bigger break down in the development and dynamism of micro-regions. Since the development of the human resources receives a very considerable role in the competitiveness of the areas in the framework of the sustainable development. If the human potential and the knowledge base of the area are not adequate, it cannot latch on to the processes of knowledge society.
  6. 6. Research methods database analyzing questionnaire processing applied multivariate statistical methods mapping
  7. 7. Results I Applied comparative analysis of the database 1 Area population &quot;replacement&quot; (1990-1993 indigenous migration in 1994 - low-educated people moving in) 2 Unemployment rate in the 2000s <30% 3 Low-educated population (more than 10% of the region's population have no access to primary education) 4 professional qualifications mainly obsolete occupations (24% of the population of which 49% of skilled professionals out of date) 5 Employment deficit (the largest employers in the municipalities) 6 Companies lack 7 Social Care - the area's population only 61% of the 8 Human resources development institutions lack (1 high school, 8 primary schools)
  8. 8. Results I Applied comparative analysis of the database
  9. 9. Results II Questionnaire study Distribution of education among the respondents:
  10. 10. Results II E ducation and unemployment indicators, the proportion of respondents among the municipalities in the region:
  11. 11. Results II The economic activity rate of the respondents:
  12. 12. Results III ( Multivariate analysis ) The typing of the following groups of factors were used: 1. Individual circumstances (gender, age, education, qualifications, marital status, language skills, computer skills, leisure, non-governmental activity, health status) 2. Economic conditions (monthly income, employment status (economic activity), and retraining, &quot;black&quot; household income &quot;origin&quot; of commuting, the management of the area) 3. Living conditions (marital status, common household, dependents, car, commercial, property size, amenities, condition)
  13. 13. Results III Groups develop: <ul><li>Group 1 </li></ul><ul><li>Young people, </li></ul><ul><li>cohabitation in more generation, </li></ul><ul><li>they possess a big territory, </li></ul><ul><li>they do agricultural production, </li></ul><ul><li>conversely they possess industrial skill, </li></ul><ul><li>they are family entrepreneurs . </li></ul><ul><li>Group 2 </li></ul><ul><li>trained (having high-school graduation) young people, </li></ul><ul><li>living from wage and salary (72000 - 110000), </li></ul><ul><li>relatively little living space (2-3 room flat), </li></ul><ul><li>typical of this group, that undertakes work apart from his residence. </li></ul><ul><li>Group 3 </li></ul><ul><li>aged, single (widow), </li></ul><ul><li>home living person (mothers), </li></ul><ul><li>inactive individuals </li></ul><ul><li>8 primary schools their highest educational level, (37% does not have a primary school qualification) </li></ul><ul><li>having health problems, </li></ul><ul><li>the big real estate is typical as their living space. </li></ul><ul><li>Group 4 </li></ul><ul><li>With a qualification under 8 primary schools, </li></ul><ul><li>unemployed workers (lasting, unregistered) </li></ul><ul><li>living on social and unemployment benefit, </li></ul><ul><li>joint families </li></ul><ul><li>worn out flats (there is not a bath, not toilet ect. ). </li></ul>
  14. 14. Summary of Research Results <ul><li>I assessed factors defining Sellye micro-region’s economy and society. I collected the area’s human potential’s typical indicators, from which I prepared time series indicators and I presented the processes of the past decade on the basis of especially human resources. After this I managed to get to the statement that the developments of human resources are not happening according to the challenges of the knowledge-based society and the sustainable development. </li></ul>
  15. 15. Summary of Research Results 2 2 . I analysed the components of the area's labour-market based on statistical data and the time series data of the Regional Employment Office of Sellye. I established that the low-qualified population is the hindering factor of the area's labour-market processes on the one part, on the other hand in the micro-region exceptional low the undertaking activity, the employment side does not work well in the micro-region.
  16. 16. Summary of Research Results 2 3 . I defined those four groups that the most characterize the area's society with the help of factor analysis and multidimensional scaling. The 1. group's peculiarities are: young persons, living together with more generations, having a big territory, on which agricultural production is continued. The 2. group's peculiarities are: trained (young people having high-school graduation, living from wage and salary in relatively little flats and undertaking work apart from their residence. The 3. group’s peculiarities are: an aged, single widow, inactive individuals, who’s the highest educational level is the 8 primary school, having health problems in big family houses, of which the maintenance causes problems for them. The 4. group’s peculiarities are: not having 8 primary school classes, unemployed workers, they live on aid in big families in flats without comfort. From this I showed that the most considerable type creator factor is educational level and the living space. In addition I wrote those groups down, in terms of a development as individual, as area, that they may be the potential subjects of coming processes featured like this.
  17. 17. Summary of Research Results 2 4 . I sustain bringing different databases accumulated onto a uniform basis about the micro-region is a new research result and that I applied multiple variable procedures on a manner complementing each other on this uniform basis (factor analysis – multidimensional scaling). And I examined it in a scientific way based on these procedures and I analysed and categorised (grouped) individuals forming an area from the viewpoint of development and improvability.
  18. 18. Conclusion 2 <ul><li>It is necessary to draw up indicators that are suitable for measuring certain areas’ social, demographic peculiarity. </li></ul><ul><li>The opportunities of the application of the multiple variable methods in the representation of socio-economic processes and of the state features of the area should be outlined comprehensively. In many cases the analyses finish with the execution of the factor analysis. The developed application of the different methods makes more complex analyses possible. </li></ul><ul><li>The expedient method for groups characterisation, defining the types, is the head component analysis. </li></ul><ul><li>It is necessary to make the analyses regular that are the new indicators and for which multiple variable methods happen to use, collaborating with the scientific workshops. </li></ul><ul><li>I do not regard my analysis closed or finished. The series of the methods presented here attached to each other hides a number of additional analysis opportunities. </li></ul>
  19. 19. 2 Thank you for your attention !

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