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2008 | nr 79 Survey data in economic research : Polish contribution to the 28th CIRET Conference | 94--117
Tytuł artykułu

Regional Business Activity in Light of Business Surveys Results

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The main goal of this paper is to compare regional business activity in Poland using regional official statistics and data obtained by the RIED from business surveys conducted in the manufacturing industry (NACE D). This is the first attempt to model regional output in the Polish NUTS2 regions using RIED survey data covering the 1999-2005 period. A two-stage analysis focuses first on comparative statistics and is aimed at identifying a level and dynamics of regional economic development. Next qualitative data (RIED surveys balance statistics) is used to analyse changes of industrial output in regions. Two monthly run survey balance statistics are used: total orders and sales of the manufacturing sector (NACE D); a yearly index of manufacturing production sold, published by the Central Statistical Office, is taken as a reference variable. Time series are seasonally adjusted and smoothed. Persisting differentiation of regional business activity makes us conjecture that: (1) economically dominating regions tend to strengthen their positions, (2) output gaps between most and least developed regions are not decreasing, and (3) structural changes that have been noticed in recent years in least developed regions make one expect that a map of regional differentiation will change. (original abstract)
Bibliografia
  • Adamowicz E., Dudek S., Walczyk K., (2004), The Use of Survey Data in Macroeconomic Analysis, [in:] Composite Indicators of Business Activity for Macroeconomic Analysis, Z. Matkowski (Ed.), Prace i Materiały Instytutu Rozwoju Gospodarczego, No. 74, Szkoła Główna Handlowa w Warszawie, pp. 357-376.
  • Bennett A., (1984), Output expectations of manufacturing industry, Applied Economics, 16, pp. 869-879.
  • Demetra 2.0 - Pedagogical Manual (2002), EUROSTAT, Luxembourg.
  • Demetra 2.0 - User manual (2002), EUROSTAT, Luxembourg.
  • European Commission DG ECFIN, (1997), The Joint Harmonised EU Programme of Business and Consumer Surveys, European Economy - Report and Studies, No 6, Brussels.
  • EViews 4 Command and Programming Reference, (2000), Quantitative Micro Software.
  • EViews 4 User's Guide, (2000), Quantitative Micro Software.
  • Gómez V., Maravall A., (1996), Programs TRAMO (Time series Regression with Arima noise, Missing observations and Outliers) and SEATS (Signal Extraction in Arima Time Series). Instructions for the user, Working Paper, No. 9628, Servicio de Estudios, Banco de España.
  • OECD, (2003), Business Tendency Surveys A Handbook, OECD.
  • Oppenlander K.H., (2002), Business Cycle Survey Data: Definition, Importance, and Applications, 26th CIRET Conference, Taipei.
  • Rocki M., Tabeau A., (1995), Kwantyfikacja Jakościowych Danych Ankietowych dla Produkcji Przemysłu w Polsce, Roczniki Kolegium Analiz Ekonomicznych, No 2, SGH, Warszawa.
  • Tomczyk E., (2001), Racjonalność Oczekiwań Respondentów Testu Koniunktury w Przemyśle, Analiza Tendencji Rozwojowych w Polskiej Gospodarce na Podstawie Testu Koniunktury, Prace i Materiały IRG SGH, No. 70, Warszawa, pp. 83-117. (12)
Typ dokumentu
Bibliografia
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