The Finnish advisory organizations of private forestry provide education for forest owners on the problems concerning farm forestry. It is important that the methods in use would be able to prepare for the future development so that the teaching could lead to the most efficient learning. The present study was a survey research directed to all private forest rangers working in the District Forestry Boards in Finnish-speaking areas of the country. The inquiry was answered by 756 rangers, the returning rate being about 80%.
The results indicate that farm-forest owners have to be further educated. The education should be directed in the first place to method of artificial regeneration, cleaning-thinning, cutting operations and to the methods of physical work achievements. Particularly, it would be important to take care of teaching concerning cost calculation and economic planning. On the other hand, the enquiry indicated that, according to the opinions of the forest rangers, such skills belong most for the forest professionals and not for the farmers. According to the results, there is a need for development in the education given to farm-forest owners, as well as education of professional foresters.
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The purpose of this study was to find out about the forest owner’s views on silviculture and any forest management work he had carried out. The data is based on interviews of 289 forest owners in municipalities of Jämsä and Karstula in Central Finland in 1966. The forest owners were a random sample of all males in the municipalities, who alone or together with their wives were in the possession of at least 2 ha of cultivated land and 10 ha of forests.
The forest owners’ attitudes towards silviculture were generally favourable. A common opinion was that money spent on silviculture is a paying proposition (88%), that forest management is better today than it used to be (87%), that cultivation of forests is an economic proposition (81%), and that few owners manage their forests properly unless forced by the law (79%). The need for planning silvicultural measures was also generally accepted (78%).
However, few agreed that the legally imposed silvicultural fee is necessary, that the new silvicultural methods were practicable, or that money he invested in silviculture is profitable to the forest owner. Only 45% agreed that forestry experts have sufficient understanding of the owner’s needs. One third of the forest owners had carried out the following silvicultural tasks: forest cultivation, forest drainage or forest fertilization, on a minimum area of five hectares. Forest cultivation had been carried out by 63%, forest drainage by 44% and forest fertilization by 16% of the respondents. Vast majority (90%) had employed forest experts and a many nearly every year, mainly for marking the trees to be felled.
In the more rural municipality of Karstula, the forest owners’ views towards forestry was more favourable than in the semi-industrialized Jämsä.
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The aim of the present study was to describe the diffusion of the professional insight in forestry taking place among forest owners and as factors attached thereto. The material is based on interviews of 289 forest owners in municipalities of Jämsä and Karstula in Central Finland in 1966. The forest owners were a random sample of all males in the municipalities, who were in the possession of at least 2 ha of cultivated land and 10 ha of forest.
Mass media (papers, radio and television) was an important source of information for the forest owners. Forest educational events are specially planned to spread information on forestry to forest owners, but 40% told that they had never participated any such event. Only 8% had got professional forest education. Knowledge concerning forests and forest management may also be inherited from the forest owner’s parents, or in discussions with professional forest officers or neighbours. About 73% of the forest owners had been in touch with professional foresters at least once during the last three years.
A third of the forest owners regarded professional insight their most important source of information on forestry, a little smaller group considered instruction in forestry questions the most important source. The third largest group had achieved their knowledge on forestry on own experience and inherited knowledge. Forest owners favouring mass media, own experience and inherited knowledge were often owners of a small forest holding.
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The article is based on studies made in the Karelian isthmus in 1936-1938 before the World War II broke in 1939. Further studies were not possible after the war when the area was handed over to Soviet Union. Economic data of agriculture and forestry of the farms had mostly been regarded separately in the early economic studies of small farms in Finland. This survey aimed at studying influence of forestry in the economy of a small farm. 141 farms were included in a more detailed survey.
Forestry accounted for in average 38% of total income of the farms in 1937-1938. The farms had sold wood often, the amounts being often small. Good transport connections in the area facilitated the sales. Over 70% were sales at delivered price, and about half of the wood was small-sized timber. According to the results of the survey, forestry was important for the small farms in Karelian isthmus. The farmers could not have made a living without the forests. Hoveter, the farms had had to overuse the forest resources. The wood resources decreased by 18-22% in 1922-1938. They were, however, at the same level as in average in Finland in 1938.
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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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This is a fourth paper in a series of studies concerning logging in farm forests. The objective was to construct a model representing the productivity per farm of logging for delivery cuts. The first objective was to find out how the productivity of logging should be measured. In the study, combined labour and capital are regarded as the input.
Second object was to consider what variables to use in theory to determine the productivity of logging for delivery cuts. The factors affecting productivity depend on the concept of productivity employed. The productivity per farm of logging in delivery cuts can be determined both by regional and by farm variables. Still considering solely the effect of the quality of labour and capital input, the variables representing the person in charge of the delivery cuts are important explanatory farm variables. Others represent the farm totality (size, lines of production etc.).
Third aim was to develop a statistical-mathematical method suitable for constructing the model. Possible methods include regression analysis, which is, however, not the best method when there is large number of different levels to explain, or factor analysis. The suitable method to use in constructing a model depicting the productivity of a farm, was considered to be to condense the explanatory variables into rotated orthogonal factors. After preliminary correlation analysis, estimates of the factors interpreted as rational were employed as the explanatory variables for selective regression analysis.
Last, the model was tried out against actual material collected per farm, and the hypotheses were tested.
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