Towards a modular and temporal understanding of system diffusion: Adoption models and socio-technical theories applied to Austrian biomass district-heating (1979-2013)

被引:47
作者
Geels, Frank W. [1 ]
Johnson, Victoria [2 ]
机构
[1] Univ Manchester, Manchester Inst Innovat Res, Sustainable Consumpt Inst, Manchester, Lancs, England
[2] Univ Manchester, Sustainable Consumpt Inst, Manchester, Lancs, England
基金
英国工程与自然科学研究理事会;
关键词
Diffusion theory; Conceptual models; Low-carbon systems; Biomass district heating; RENEWABLE ENERGY TECHNOLOGIES; INNOVATION; TRANSFORMATION; TRANSITIONS; DYNAMICS; GROWTH; POLICY;
D O I
10.1016/j.erss.2018.02.010
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The diffusion of socio-technical systems is more complex than that of discrete products and cannot be understood solely with adoption models that have come to dominate the diffusion literature. The paper makes two contributions. First, it aims to broaden the conceptual repertoire by distinguishing two analytical families: adoption models and socio-technical theories of diffusion. We distinguish four adoption models (epidemic, rational choice, socio-psychological, increasing-returns-to-adoption) and three socio-technical models (system building, circulation/replication, societal embedding), and discuss their phenomenological characteristics and causal mechanisms. Second, the paper shows that system diffusion is a multi-dimensional process that is best understood with a modular approach that combines insights from different conceptual models. To demonstrate this second contribution and explore the temporal salience of different models, we apply them to the diffusion of Austrian biomass district heating (BMDH) systems (1979-2013). The paper ends with integrative suggestions by temporally positioning different diffusion models in a broader framework.
引用
收藏
页码:138 / 153
页数:16
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