Opis

• Tytuł:
  Spatial econometric approach to western diseases modelling
• Twórca:
  Olejnik, Alicja;
  Żółtaszek, Agata
• Współtwórca:
  Faculty of Economics and Sociology, University of Lodz
• Opis:
  For years now, developed countries face an epidemic of high blood pressure, diabetes and high cholesterol, risk factors related to heart and circulatory disease, and a suite of psychological disorders ranging from depression, anxiety, to compulsive behaviours. These health risks have traditionally been associated with affluence however by 2008 there is no clear link between national income and these diseases. E.g. according to Danaei, there was no relationship between national income and blood pressure in men, and in women blood pressure was even higher in poorer countries. Therefore, this paper provides deepen analysis of this correlation applying spatial econometrics tools. The spatial aspect of the prevalence of western diseases does not seem to be obvious and, to our knowledge, is not widely explored in the literature. In particular, the paper investigates the spatial processes of selected diseases of affluence in regions of the European Union. The research covers 261 NUTS 2 regions for the period 2003-2010. This study provides the spatial analysis of Circulatory and Mental diseases. In our opinion, the presented spatial econometric approach may constitute an important contribution to the field of epidemiology.
• Dostępność obiektu:
  Dostęp otwarty
• Prawa:
  Uznanie autorstwa-Użycie niekomercyjne-Bez utworów zależnych 3.0 Polska;
  http://creativecommons.org/licenses/by-nc-nd/3.0/pl
• Data:
  2016.07.25;
  2016.07
• Typ:
  Working Paper
• Język:
  angielski;
  eng
• Format:
  application/pdf
• Wydawca:
  Faculty of Economics and Sociology of the University of Lodz
• Relacja:
  Lodz Economics Working Papers;6/2016
• Temat i słowa kluczowe:
  diseases of affluence;
  health;
  socioeconomic development;
  spatial analysis;
  I14;
  I15;
  O18;
  O57
• Identyfikator: http://hdl.handle.net/11089/18965
• Dostawca danych:
  Repozytorium Uniwersytetu Łódzkiego
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