The objectives of the paper were to find out structure of the sawing time when using field circular saws, influence of the different factors on the sawing time and its structure, average sawing time per unit of raw material and sawn goods, and the fundamentals for the creation of an equitable system for the determination of the basis of payment in sawing work. The observations of the time study were made on both a single log and a work period basis. The material was collected using four saws of different brands.
The results showed that the season when the work was done, and top diameter of the logs to be sawn affected the constant times included in the total sawing time and the time used for sawing of center pieces. While the tree species did not affect the constant times, the grade of the logs of different tree species did have effect, especially in winter sawing. The factors affecting the different phases of the work are described in detail. The length of sawing time was longer in the winter than in the summer. The preparatory jobs in sawing required in average 82 cmin per log, and the time increased with increasing top diameter. The actual sawing is the most time-consuming part of the work, it took in average 132 cmin.
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The purpose of this study is to reveal the links between farm forestry and its economic and social environment. The second-stage factor analysis used was based on factor scores per municipality, representing the dimensions of total farm operation and of its economic and social environment. The population was 17 municipalities or groups of municipalities in the South Karelian Forest Board district.
The conclusions of the results are directly applicable only to the ideal types presented. A socio-economic environment marked by industrialization detrimentally affects both the standard of forest management, as assessed subjectively by field workers, and the productivity of logging, as measured by labour input/m3 of output. This finding holds good even despite the modernization of forest management indicated by the adoption of renewal cuts.
The clearest negative factor for forestry is the irrational distribution of forest holdings. This impedes the rationalization of forest management and the efficiency of loggings. Extensive scattering of forest holdings also delays the mechanization of logging. The spread effects of industrialization relate to a higher level of forest management and labour productivity of logging. Family farming links up closest with features that enhance the importance of the forest to the farmer. Such features include regularity and size of delivery cuts.
Centralized agriculture, mainly village settlement areas, displayed the poorest forest management. Problem farms are typified by small farm units, unemployment and a low degree of forest management.
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The study links up with the general development of logging on private farm woodlots, practiced by the Work Efficiency Institute (Työtehoseura). It is based on the idea that the promotion of forest management on farms should be integrated with general agricultural development. The aim of the study was to find out the relation between delivery cuts and management of the farm as a whole, including economic and social environment. The first, methodological part develops a model representing farming, based on factor analysis. The second part tests the applicability of the factor analysis in the light of the empirical data, and studies the relation between delivery cuts and total farming and regional differences in farming.
Despite the descriptive nature of the factors obtained, the solution permitted a multi-dimensional examination. It seems that certain aspects typical to scattered settlement accentuate the importance of the forest for the farm. These include a high ratio of forest to arable land, barren soil and forest holdings that form unbroken tract of land. The importance of forestry is accentuated by the self-sufficiency of farms in labour and tractive power. On the other hand, there were lines of production and forms of livelihood and land utilization that compete with forestry, such as off-farm employment and alternative forms of land-use. One factor indicative for small importance of forestry for the farms was the small size in ratio to arable land. Often money for machinery has come from forest revenues.
The factor analysis indicate that a rational parcelling of forest holdings leads to better cutting methods. Also, cutting method improve and the proportion of renewal cuttings increase on moving from remote areas towards population centers. Productivity of delivery cuts is affected by the total employment of labour and tractive power on the farm. Abundance of labour and the use of farm’s own labour are probably detrimental to the productivity of delivery cuts. When the farms grow, the increase in the quantity felled and the rise in the degree of mechanization favour productivity.
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