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Interference demographic factors and the companies with the trade economic crisis


  • Constan?a ENEA

    () (,,Constantin Brâncusi” University of Târgu-Jiu)

  • Constantin ENEA

    () (,,Constantin Brâncusi” University of Târgu-Jiu)

  • Georgiana Lavinia TANASOIU

    () (,,Constantin Brâncusi” University of Târgu-Jiu)


Trade companies are interested in several demographic aspects: the number of population in the interest area (because people form markets), population dynamics, the structure of population according to sex and age, density, mobility of the population, life hope, family structure (most of vehicles in Romania are meant for families and not for one person only), population territorial distribution and on environments (rural and urban), the rhythm of population growth in different towns, regions and states, its distribution according to religion, education, ethnical categories, age groups, training levels and regional evolutions. Demographic status has multiple effects upon the company's activity both on short term and on long term, which supposes a continuous study of demographic forecasts. These attributes have to be used by trade companies in establishing the sizes of the potential market, in elaborating estimations regarding the evolution of products and services demands, in establishing the most a equate mixture for the respective market. Demographic attributes can provide clear indications upon the structure of the products range, upon the prices that clients are willing to pay for these products, upon their distribution ways and their best advertising actions.

Suggested Citation

  • Constan?a ENEA & Constantin ENEA & Georgiana Lavinia TANASOIU, 2010. "Interference demographic factors and the companies with the trade economic crisis," EuroEconomica, Danubius University of Galati, issue 25, pages 45-53, October.
  • Handle: RePEc:dug:journl:y:2010:i:25:p:45-53

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    References listed on IDEAS

    1. Lian An & Jian Wang, 2012. "Exchange Rate Pass-Through: Evidence Based on Vector Autoregression with Sign Restrictions," Open Economies Review, Springer, vol. 23(2), pages 359-380, April.
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    3. Taylor, John B., 2000. "Low inflation, pass-through, and the pricing power of firms," European Economic Review, Elsevier, vol. 44(7), pages 1389-1408, June.
    4. Anderton, Robert, 2003. "Extra-euro area manufacturing import prices and exchange rate pass-through," Working Paper Series 219, European Central Bank.
    5. Giovanni P. Olivei, 2002. "Exchange rates and the prices of manufacturing products imported into the United States," New England Economic Review, Federal Reserve Bank of Boston, issue Q 1, pages 3-18.
    6. Steve Ambler & Ali Dib & Nooman Rebei, 2003. "Nominal Rigidities and Exchange Rate Pass-Through in a Structural Model of a Small Open Economy," Staff Working Papers 03-29, Bank of Canada.
    7. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
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