Home > Research > Publications & Outputs > Stasis, Dynamism and Emergence of the e-Mobilit...


Text available via DOI:

View graph of relations

Stasis, Dynamism and Emergence of the e-Mobility System in China: a Power Relational Perspective

Research output: Contribution to journalJournal article

<mark>Journal publication date</mark>01/2018
<mark>Journal</mark>Technological Forecasting and Social Change
Number of pages12
Pages (from-to)259-270
Early online date18/09/17
<mark>Original language</mark>English


Efforts at urban e-mobility transition in China are of crucial global significance. Exploring these developments, however, demands significant reframing of dominant theories of socio-technical system transition to accommodate the strikingly different socio-political context of China to that of the global North where these theories have been developed. In particular, greater attention must be paid to issues of power, conceptualized as dynamic power/knowledge relations constitutive of social formations and evolving in interactive parallel with specific innovation trajectories. We illustrate such a productive reframing focusing on complex processes of empowerment and highlight that there remains relative stasis in the grand plan of a rapid transition to electric cars (EVs) in China’s growing cities, with the EV still widely regarded as “risky” mobility. At the same time the EV in China is becoming a constituent of a new kind of digitized and smart mobility, as Chinese ICT companies emerge as globally powerful players establishing alliances with traditional automobile companies.

Bibliographic note

This is the author’s version of a work that was accepted for publication in Technological Forecasting and Social Change. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Technological Forecasting and Social Change, 126, 2018 DOI: 10.1016/j.techfore.2017.09.006