Socioeconomic effects and acceptance
In this aspect , the University of Flensburg deals with the social and economic impact of an optimized vehicle use of biomass. The aim is to give recommendations for decision-makers in politics and business, based on the investigations in order to optimize the future use of biomass in the region and also in comparable regions.
The work package consists of 17 sub-tasks, which can be divided into two main areas. Firstly, a regional economic input-output model is developed that allows direct and indirect regional economic and macroeconomic effects can be analyzed. Secondly, a willingness to pay analysis is performed using a questionnaire.
A central component of the input-output model, so-called input-output tables from Denmark and Germany, where the structures of economic activities and their inter-dependencies among themselves modeled quantitatively. With the help of additional information on all stages of the value chain in the biogas and the matrix inversion is direct and indirect economic effects such a change in demand in the biogas sector can be calculated. In the model, different future development paths in the form of scenarios will be considered, as a result, different scenarios can be compared. It is important to consider the net effect, ie, both positive (eg additional employment by increased demand) and negative (eg, reduced employment in other sectors) to account for effects.
As part of a face-to-face interview, willingness to pay for different landscapes are chosen to represent. In the center of the survey area is the biogas with different substrates and forms of cultivation. Demand is not on how much the respondent would be willing to pay one way or another power generation option, but the other way around: "How much would you be willing to pay in order to prevent the construction of a particular technology or the production of certain energy plants in your area" , This method makes it possible to obtain a very differentiated picture of the acceptance or non-acceptance of certain technologies and forms of cultivation. Since the acceptances are quantified, the options in the result can be compared.