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2021

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Sammendrag

The forestry sector is constantly looking for ways for making data-driven decisions and improving efficiency. The application of Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) allow the users to go beyond looking at simple key performance indicators. Benchmarking is one of the most common tools in business for improving efficiency and competitiveness. This study searched for benchmarking studies in Web of Science until December 2020. It reviewed 56 benchmarking studies in forestry and discusses the potential advantages of using benchmarking in forestry. More than 80% of the studies apply DEA. This review found that almost half of the benchmarking studies in forestry have attempted to estimate the efficiency of forest management organizations at regional scale, mostly being public or state-owned forest districts. A bit more than one-third of the studies have focused on benchmarking forest industries and one-fifth, benchmarking of forest operations. Forest management organizations mainly applied benchmarking for internal comparison and forest industries entirely focused on competitive benchmarking. Surprisingly, in most cases the studies do not necessarily overlap geographically with forest rich countries (e.g., Russian Federation or Brazil). A number of studies address multiple criteria. The future potential for applying automatic data transfer from harvest machines to interactive benchmarking systems are discussed. Finally, the paper discusses the advantages and weaknesses of benchmarking and future research on improving usefulness and usability of benchmarking in forest businesses.

Sammendrag

Due to an EU directive making integrated pest management (IPM) mandatory, European farmers are expected to reduce their use of chemical pesticides, which may potentially increase production costs and risk of harvest loss. Less pesticide use is appreciated by many consumers and may generate a higher willingness to pay (WTP). However, IPM is a wide concept and it is difficult for consumers to distinguish between products with high and low risk of pesticide residues. As a result, consumers might use other characteristics, such as country of origin, for the identification of safer products. In this study, we investigate if a higher WTP for Norwegian strawberries is associated with a belief that they contain less pesticide residues than imported berries. We use regression analysis to estimate to what extent the difference in WTP for Norwegian and imported strawberries is correlated with various perceptions about strawberries. The analyses reveal that the stronger the belief that Norwegian strawberries have less pesticide risk than imported ones, the higher the WTP for Norwegian strawberries. This means that if consumers believe domestic farmers use little pesticides, domestic products might be able to sell at considerably higher prices than imports. Hence, it may be economically beneficial for farmers to keep pesticide use at a minimum. Furthermore, we find that consumers have a higher WTP for strawberries produced with less use of pesticides, although not pesticide-free, indicating that IPM is appreciated.