Deriving sustainability measures using statistical data: A case study from the Eisenwurzen, Austria

Within the past two decades sustainability has become a key term in emphasizing and understanding relationships between economic progress and the protection of the environment. One key difficulty is in the definition of sustainability indicators based on information at different spatial and temporal scales. In this paper we formalize statistical models for the assessment of sustainability impact indicators using a public data source provided by the Austrian government. Our application example is the Eisenwurzen region in Austria, an old and famous mining area within the Alps. The total area covers 5.743 km2 and includes 99 municipalities. In our study we define 15 impact indicators covering economic, social and environmental impacts. For each of the impact indicators we develop response functions using the available public data sources. The results suggest that the available data are an important source for deriving sustainable impact indicators within specific regions. The presented approach may serve as diagnostic tool to provide insights into the regional drivers for assessing sustainability indicators.