Equipment and Methods

Equipment and Methods

In addition to secondary research, the applied methods of primary data collection stretch from expert interviews to elaborate online surveys or focus group discussions. The methods of quantitative data analysis comprise secondary data analyses, uni- and multivariate statistical analyses and complex econometric simulation models. The qualitative methods aim to facilitate uncovering hypotheses and solution approaches for problems.

 

The team structures its expertise into four topics:

 

 

Market-orientated technology assessment

The technology foresight provides an understanding of changing environments and technical consequences to identify barriers and incentives which influence the success of new products and technologies. Relative to the development of the knowledge-based bioeconomy, it is beneficial to identify and investigate key factors, in order to help accelerate the market launch of developed products or to allow detailed comparisons of raw material or products, e. g.  with value-performance ratios.

 

Examples for applied methods for technology foresight:

 

  • Econometric models
  • Delphi studies
  • Network analyses
  • Input-output simulations
  • Technology diffusion
  • Substitution analyses

 

 

Sustainability assessment

Bio-based industries are linked to the different pillars of sustainability (economy, ecology, society) throughout the entire product life cycle. Beginning with product and technology development and raw materials procurement, different aspects of sustainability in the forest-based sector are evaluated.

This allows combined investigations which ensure a critical use of the methods and comprehensive sustainability evaluations of lignocellulosic materials. For example:

 

  • Life cycle assessment and regional added value
  • Cumulative energy demand and ecological amortization period
  • Water footprint and argument Delphi

Qualitative and quantitative social research

Surveys have different fields of application, for example, exploring the requirements of relevant new products, market volumes or social attitudes and opinions in order to obtain targeted measures. The applied methods range from expert interviews and qualitative content analyses to quantitative online surveys. For example:

 

  • Attitude measurement

  • Cognitive response analysis

  • Analysis of communication activities

  • Network analysis

Forecast models and sectoral simulations

Based on system-dynamics models and econometric models, medium- and long-term projections for customized market analyses and forecasts of the forest-based industry are simulated. For instance:

 

  • Price developments (price forecast model VAR, ARIMA)
  • Wood flows (sector simulation model forestry sector and wood industry FOHOW)
  • Carbon flows and sinks (FOHOW 2)