Urban restructuring, land scarcity and KIBS – thoughts and analyses regarding their integration prospects

Authors: Angelika Krehl*, Leibniz Institute of Ecological Urban and Regional Development (IOER)
Topics: Economic Geography
Keywords: knowledge-intensive business services (KIBS), urban spatial structure, land scarcity
Session Type: Paper
Day: 4/3/2019
Start / End Time: 8:00 AM / 9:40 AM
Room: Regency Ballroom, Omni, West
Presentation File: No File Uploaded


It is assured knowledge today that the urban spatial structure in economically advanced countries is often polycentric, caused by opposing agglomeration and deconcentration forces. Whereas these forces address the economic side of polycentricity, less attention has been devoted to the environmental side. Specifically, the emergence of urban (sub-)centers has been studied and own work has unfolded related conceptual and methodological challenges. However, the relationship between these (sub-)centers and land concerns lacks attention. To address this relationship while maintaining a clear focus, the economic side is narrowed to analyzing the role and characteristics of knowledge-intensive business services (KIBS). The environmental side is focused w.r.t. land because open land is indispensable for environmental sustainability, whereas available land for building is important for socioeconomic development. The literature reveals that KIBS and urban spatial structure are at times considered together, while land is mostly addressed separately. Based on this revealing, the prospects of a more integrated discussion of economy (in terms of KIBS and urban structure) and environment (land) will be illustrated within the urban regional context. The objective is twofold: (1) integrate discussions about KIBS and their role in spatial restructuring processes with issues of land availability. (2) Analyze how land availability simultaneously affects a city region’s urban economic and spatial structure. Own methodological and empirical groundwork provides the starting point to addressing these objectives. Combining spatially fine-grained socioeconomic and land use data will facilitate new insights into these relationships.

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