Modelling of the bioeconomy system using interpretive structural modelling

Kubule, A.; Indzere, Z.; Muizniece, I.

Modelling of the bioeconomy system using interpretive structural modelling

2019

Kubule, A. | Indzere, Z. | Muizniece, I.

Due to European and global resource efficiency efforts, the bioeconomy research andthe search for new bioresource valorisation alternatives has become topical. Bioeconomy directlyconcerns such major sectors of the economy as agriculture, forestry, fishery, as well as otherindirect bioeconomy sectors. However, the practical implementation of bioeconomy has had quitelow implementation rate, which is partly caused by the multitude and variety of factors that affectthe bioeconomy system. This paper evaluates seven bioeconomy affecting factors (particularlyrelated to biotechonomy concept) and links between them in order to promote successfulimplementation of bioeconomy. To evaluate these factors interpretive structural modellingmethod (ISM) is used. The application of ISM method allows to not only identify the factorinteraction links, but also to graphically represent their directed structure. The results show thatthree out of seven factors have the strongest interrelation, namely, climate change, bioresourcesand technologies. This research can be complimented by further adding other factors that couldbe influencing for bioeconomy development, for example, financial resources, human health,well-being, and so on; therefore, to reach better understanding about influential factors andbioeconomy dependency on them; also, system dynamics approach could be used in order to fullyuncover the factor interaction links.

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