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The spatial dynamics of deep transitions

Laur Kanger

2022Environmental Innovation and Societal Transitions20 citationsDOIOpen Access PDF

Abstract

Industrial societies are currently evolving along a fundamentally unsustainable trajectory, contributing to climate change, resource depletion and loss of biodiversity. A recent Deep Transitions framework (Schot and Kanger, 2018; Kanger and Schot, 2019) argues that this trajectory has been built up through the First Deep Transition: a 250-year co-evolution of multiple socio-technical systems. However, to date the Deep Transitions framework has completely neglected the spatial dimension of this process. This makes it unable to explain (1) how socio-technical systems emerge in, gravitate towards, become linked in and disperse from certain locations; (2) how global constraints condition actors' responses in specific locations and how these responses, in turn, reproduce or transform socio-technical systems; (3) how these processes accumulate into socio-material landscapes, posing locationally varying constraints to major transformative change. As a response this paper aims to develop a middle-range theory of the spatial dynamics of Deep Transitions. Synthesizing insights from a broad range of fields nine propositions are developed on the spatial patterns and mechanisms of long-term multi-system co-evolution. The resulting framework enables to explain the spatial genesis of the First Deep Transition and opens up a research agenda for studying the possibly emerging Second Deep Transition.

Topics & Concepts

Transformative learningTrajectoryResource (disambiguation)Dimension (graph theory)Transition (genetics)Range (aeronautics)Economic geographyComputer scienceGeographySociologyMathematicsPhysicsEngineeringBiologyAstronomyAerospace engineeringPedagogyPure mathematicsBiochemistryComputer networkGeneSustainable Industrial EcologyRegional resilience and developmentEcosystem dynamics and resilience
The spatial dynamics of deep transitions | Litcius