In terms of systems hierarchy, technological change arises from the spatial and temporal diffusion of individual innovations all the way up to the emergence of new technological combinations that could fundamentally redefine products, services and even entire industries and markets. TNT’s strategic research goal consequently focuses on the systemic aspects of technological change and draws on empirical case studies, novel modeling approaches, as well as scenario studies and robustness analysis to inform technology policy choices from a systemic perspective. A key unifying strategic question addressed by TNT research is to answer what determines the rates of change of individual technologies as well as of entire technology systems in response to the interplay of endogenous (e.g., innovation and market uncertainties) as well as policy (e.g., innovation push and demand pull) variables.
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Last edited: 07 September 2020
Projects, Models & Data
Niamir L, Ivanova O, & Filatova T (2020). Economy-wide impacts of behavioral climate change mitigation: linking agent-based and computable general equilibrium models. Environmental Modelling & Software 134: e104839. DOI:10.1016/j.envsoft.2020.104839.
Willaarts B , Lechón Y, Mayor B, de la Rúa C, & Garrido A (2020). Cross-sectoral implications of the implementation of irrigation water use efficiency policies in Spain: A nexus footprint approach. Ecological Indicators 109: no.105795. DOI:10.1016/j.ecolind.2019.105795.
Fang C & Ma T (2020). Stylized agent-based modeling on linking emission trading systems and its implications for China's practice. Energy Economics 92: e104916. DOI:10.1016/j.eneco.2020.104916.
International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313