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Acta Forestalia Fennica vol. 76 no. 1 | 1963

Category: Article

article id 7141, category Article
Seppo Ervasti. (1963). Suomen sahateollisuuden kausivaihtelu. 1. Aineiston hankinta ja käsittely sekä tulosten luotettavuus. Acta Forestalia Fennica vol. 76 no. 1 article id 7141. https://doi.org/10.14214/aff.7141
English title: Seasonal variation in the sawmill industry of Finland I. Collection and treatment of the material and reliability of the results.

The purpose of this paper is 1) to establish the possible seasonal variation of the different phases of work in the sawmill industry in Finland, 2) to study the internal and external factors influencing the seasonal character of the sawmill industry, 3) to study ha time lags between the work phases of the sawmill industry, 4) to analyse the seasonal nature of the industry’s money transactions, and 5) to give information concerning the factors influencing employment. The investigation is based on questionnaires of a random sample of sawmills concerning the time period of 1958-1960. This paper concentrates on the methods of the study, the results are reported in a separate paper in the Acta Forestalia Fennica issue 75 vol 1.

It was concluded that if seasonal variation in the sawmill industry is to be analysed on the scale it has been in the present work, sampling is the cheapest and most practicable method of collecting the material. If seasonal fluctuation of the industry is to be calculated by size classes, the sample must be allocated into strata by measuring the heterogeneity of the classes with a parameter illustrating seasonal variation. It might be useful to apply these parameters already when the total size of the sample is determined. For the smallest sawmills, for which practically all data have to be collected from primary documents, the most practical method is perhaps to send collectors to the spots. To the larger sawmills the questionnaire can perhaps be sent by mail. A moving index should be obtained for calculation of a seasonal index, but this demands long time series. The collection of the data is described in detail.

The PDF includes a summary in English.

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