Semantic Scholar Open Access 2017 293 sitasi

The transition of energy intensive processing industries towards deep decarbonization : characteristics and implications for future research

J. Wesseling S. Lechtenböhmer Max Åhman L. Nilsson E. Worrell +1 lainnya

Abstrak

Energy-intensive processing industries (EPIs) produce iron and steel, aluminum, chemicals, cement, glass, and paper and pulp and are responsible for a large share of global greenhouse gas emissions. To meet 2050 emission targets, an accelerated transition towards deep decarbonization is required in these industries. Insights from sociotechnical and innovation systems perspectives are needed to better understand how to steer and facilitate this transition process. The transitions literature has so far, however, not featured EPIs. This paper positions EPIs within the transitions literature by characterizing their sociotechnical and innovation systems in terms of industry structure, innovation strategies, networks, markets and governmental interventions. We subsequently explore how these characteristics may influence the transition to deep decarbonization and identify gaps in the literature from which we formulate an agenda for further transitions research on EPIs and consider policy implications. Furthering this research field would not only enrich discussions on policy for achieving deep decarbonization, but would also develop transitions theory since the distinctive EPI characteristics are likely to yield new patterns in transition dynamics.

Topik & Kata Kunci

Penulis (6)

J

J. Wesseling

S

S. Lechtenböhmer

M

Max Åhman

L

L. Nilsson

E

E. Worrell

L

Lars Coenen

Format Sitasi

Wesseling, J., Lechtenböhmer, S., Åhman, M., Nilsson, L., Worrell, E., Coenen, L. (2017). The transition of energy intensive processing industries towards deep decarbonization : characteristics and implications for future research. https://doi.org/10.1016/J.RSER.2017.05.156

Akses Cepat

Lihat di Sumber doi.org/10.1016/J.RSER.2017.05.156
Informasi Jurnal
Tahun Terbit
2017
Bahasa
en
Total Sitasi
293×
Sumber Database
Semantic Scholar
DOI
10.1016/J.RSER.2017.05.156
Akses
Open Access ✓