TY - JOUR A1 - Sorge, Arndt A1 - Streeck, Wolfgang T1 - Diversified quality production revisited BT - its contribution to German socio-economic performance over time JF - Socio-economic review N2 - We revisit the concept of Diversified Quality Production (DQP), which we introduced about 30 years ago. Our purpose is to examine the extent to which the concept can still be considered tenable for describing and explaining the development of the interaction between the political economy and concepts of production, notably in Germany. First, we show why and in which ways DQP was more heterogeneous than we had originally understood. Then, on the basis of evidence with respect to political, business, and economic changes in Germany, we show that DQP Mark I, a regime by and large characteristic of the 1980s, turned into DQP Mark II. In the process, major ‘complementarities’ disappeared between the late 1980s and now—mainly the complementarity between production modes on the one hand and industrial relations and economic regulation on the other. While the latter exhibit greater change, business strategies and production organization show more continuity, which helps explain how Germany maintained economic performance after the mid-2000s, more than other countries in Europe. Conceptually, our most important result is that the complementarities emphasized in political economy are historically relative and limited, so that they should not be postulated as stable configurations. KW - production concepts KW - manufacturing KW - diversified quality production KW - industrial organization KW - industrial relations KW - industrial restructuring KW - globalization KW - skills KW - Germany Y1 - 2018 U6 - https://doi.org/10.1093/ser/mwy022 SN - 1475-1461 SN - 1475-147X VL - 16 IS - 3 SP - 587 EP - 612 PB - Oxford Univ. Press CY - Oxford ER - TY - JOUR A1 - Vogel, Kristin A1 - Weise, Laura A1 - Schröter, Kai A1 - Thieken, Annegret T1 - Identifying Driving Factors in Flood-Damaging Processes Using Graphical Models JF - Water resources research N2 - Flood damage estimation is a core task in flood risk assessments and requires reliable flood loss models. Identifying the driving factors of flood loss at residential buildings and gaining insight into their relations is important to improve our understanding of flood damage processes. For that purpose, we learn probabilistic graphical models, which capture and illustrate (in-)dependencies between the considered variables. The models are learned based on postevent surveys with flood-affected residents after six flood events, which occurred in Germany between 2002 and 2013. Besides the sustained building damage, the survey data contain information about flooding parameters, early warning and emergency measures, property-level mitigation measures and preparedness, socioeconomic characteristics of the household, and building characteristics. The analysis considers the entire data set with a total of 4,468 cases as well as subsets of the data set partitioned into single flood events and flood types: river floods, levee breaches, surface water flooding, and groundwater floods, to reveal differences in the damaging processes. The learned networks suggest that the flood loss ratio of residential buildings is directly influenced by hydrological and hydraulic aspects as well as by building characteristics and property-level mitigation measures. The study demonstrates also that for different flood events and process types the building damage is influenced by varying factors. This suggests that flood damage models need to be capable of reproducing these differences for spatial and temporal model transfers. KW - flood loss KW - Bayesian Network KW - Markov Blanket KW - vulnerability KW - Germany Y1 - 2018 U6 - https://doi.org/10.1029/2018WR022858 SN - 0043-1397 SN - 1944-7973 VL - 54 IS - 11 SP - 8864 EP - 8889 PB - American Geophysical Union CY - Washington ER -