39
References
Arvesen, A., Bright, R. M., & Hertwich, E. G. (2011). Considering only fi rst-order effects? How
simplifi cations lead to unrealistic technology optimism in climate change mitigation. Energy
Policy, 39 (11), 7448–7454.
Baccini, P., & Bader, H.-P. (1996). Regionaler Stoffhaushalt. Erfassung, Bewertung und Steuerung
(p. 420). Heidelberg: Spektrum.
Barnosky, A. D., Hadly, E. A, Bascompte, J., Berlow, E. L., Brown, J. H., Fortelius, M., Getz,
W. M., Harte, J., Hastings, A., Marquet, P. A., Martinez, N. D., Mooers, A., Roopnarine, P.,
Vermeij, G., Williams, J. W., … & Smith, A. B. (2012). Approaching a state shift in Earth’s
biosphere. Nature , 486 (7401), 52–58.
Binder, C. R., Hinkel, J., Bots, P. W. G., & Pahl-Wostl, C. (2013). Comparison of frameworks for
analyzing social-ecological systems. Ecology and Society, 18 (4), 26.
Börjeson, L., Höjer, M., Dreborg, K.-H., Ekvall, T., & Finnveden, G. (2006). Scenario types and
techniques: Towards a user’s guide. Futures, 38 (7), 723–739.
Brandão, M., Clift, R., Cowie, A., & Greenhalgh, S. (2014). The use of life cycle assessment of the
support of robust (climate) policy making: Comment on “Using Attributional Life Cycle
Assessment to Estimate Climate-Change Mitigation …”. Journal of Industrial Ecology, 18 (3),
461–463.
Burfi sher, M. E. (2011). Introduction to computable general equilibrium models . New York:
Cambridge University Press.
Busch, J., Steinberger, J. K., Dawson, D. A., Purnell, P., & Roelich, K. E. (2014). Managing critical
materials with a technology- specifi c stocks and fl ows model. Environmental Science &
Technology, 48 (2), 1298–1305.
Cambridge Econometrics. (2014). E3ME technical manual, version 6.0 April 2014 . Cambridge.
Cantono, S., Heijungs, R., & Kleijn, R. (2008). Environmental accounting of eco-innovations
through environmental input–output analysis: The case of hydrogen and fuel cells buses.
Economic Systems Research, 20 (3), 303–318.
Daigo, I., Osako, S., Adachi, Y., & Matsuno, Y. (2014). Time-series analysis of global zinc demand
associated with steel. Resources Conservation and Recycling, 82 , 35–40.
Dale, B. E., & Kim, S. (2014). Can the predictions of consequential life cycle assessment be tested
in the real world? Comment on “Using Attributional Life Cycle Assessment to Estimate
Climate-Change Mitigation…”. Journal of Industrial Ecology, 18 (3), 466–467.
De Koning, A., Huppes, G., Deetman, S., & Tukker, A. (2015, February). Scenarios for a 2 °C
world: A trade-linked input–output model with high sector detail. Climate Policy , 1–17.
De Lange, A. R. (1980). A dynamic input-output model for investigating alternative futures:
Applications to the South African economy. Technological Forecasting and Social Change, 18 ,
235–245.
Duchin, F., & Levine, S. H. (2013). Embodied resource fl ows in a global economy. Journal of
Industrial Ecology, 17 (1), 65–78.
Earles, J. M., & Halog, A. (2011). Consequential life cycle assessment: A review. The International
Journal of Life Cycle Assessment, 16 (5), 445–453.
Ekvall, T., & Weidema, B. P. (2004). System boundaries and input data in consequential life cycle
inventory analysis. The International Journal of Life Cycle Assessment, 9 (3), 161–171.
Elshkaki, A., & Graedel, T. E. (2013). Dynamic analysis of the global metals fl ows and stocks in
electricity generation technologies. Journal of Cleaner Production, 59 , 260–273.
Open Access This chapter is distributed under the terms of the Creative Commons Attribution
Noncommercial License, which permits any noncommercial use, distribution, and reproduction in
any medium, provided the original author(s) and source are credited.
2 Prospective Models of Society’s Future Metabolism: What Industrial Ecology Has…
References
Arvesen, A., Bright, R. M., & Hertwich, E. G. (2011). Considering only fi rst-order effects? How
simplifi cations lead to unrealistic technology optimism in climate change mitigation. Energy
Policy, 39 (11), 7448–7454.
Baccini, P., & Bader, H.-P. (1996). Regionaler Stoffhaushalt. Erfassung, Bewertung und Steuerung
(p. 420). Heidelberg: Spektrum.
Barnosky, A. D., Hadly, E. A, Bascompte, J., Berlow, E. L., Brown, J. H., Fortelius, M., Getz,
W. M., Harte, J., Hastings, A., Marquet, P. A., Martinez, N. D., Mooers, A., Roopnarine, P.,
Vermeij, G., Williams, J. W., … & Smith, A. B. (2012). Approaching a state shift in Earth’s
biosphere. Nature , 486 (7401), 52–58.
Binder, C. R., Hinkel, J., Bots, P. W. G., & Pahl-Wostl, C. (2013). Comparison of frameworks for
analyzing social-ecological systems. Ecology and Society, 18 (4), 26.
Börjeson, L., Höjer, M., Dreborg, K.-H., Ekvall, T., & Finnveden, G. (2006). Scenario types and
techniques: Towards a user’s guide. Futures, 38 (7), 723–739.
Brandão, M., Clift, R., Cowie, A., & Greenhalgh, S. (2014). The use of life cycle assessment of the
support of robust (climate) policy making: Comment on “Using Attributional Life Cycle
Assessment to Estimate Climate-Change Mitigation …”. Journal of Industrial Ecology, 18 (3),
461–463.
Burfi sher, M. E. (2011). Introduction to computable general equilibrium models . New York:
Cambridge University Press.
Busch, J., Steinberger, J. K., Dawson, D. A., Purnell, P., & Roelich, K. E. (2014). Managing critical
materials with a technology- specifi c stocks and fl ows model. Environmental Science &
Technology, 48 (2), 1298–1305.
Cambridge Econometrics. (2014). E3ME technical manual, version 6.0 April 2014 . Cambridge.
Cantono, S., Heijungs, R., & Kleijn, R. (2008). Environmental accounting of eco-innovations
through environmental input–output analysis: The case of hydrogen and fuel cells buses.
Economic Systems Research, 20 (3), 303–318.
Daigo, I., Osako, S., Adachi, Y., & Matsuno, Y. (2014). Time-series analysis of global zinc demand
associated with steel. Resources Conservation and Recycling, 82 , 35–40.
Dale, B. E., & Kim, S. (2014). Can the predictions of consequential life cycle assessment be tested
in the real world? Comment on “Using Attributional Life Cycle Assessment to Estimate
Climate-Change Mitigation…”. Journal of Industrial Ecology, 18 (3), 466–467.
De Koning, A., Huppes, G., Deetman, S., & Tukker, A. (2015, February). Scenarios for a 2 °C
world: A trade-linked input–output model with high sector detail. Climate Policy , 1–17.
De Lange, A. R. (1980). A dynamic input-output model for investigating alternative futures:
Applications to the South African economy. Technological Forecasting and Social Change, 18 ,
235–245.
Duchin, F., & Levine, S. H. (2013). Embodied resource fl ows in a global economy. Journal of
Industrial Ecology, 17 (1), 65–78.
Earles, J. M., & Halog, A. (2011). Consequential life cycle assessment: A review. The International
Journal of Life Cycle Assessment, 16 (5), 445–453.
Ekvall, T., & Weidema, B. P. (2004). System boundaries and input data in consequential life cycle
inventory analysis. The International Journal of Life Cycle Assessment, 9 (3), 161–171.
Elshkaki, A., & Graedel, T. E. (2013). Dynamic analysis of the global metals fl ows and stocks in
electricity generation technologies. Journal of Cleaner Production, 59 , 260–273.
Open Access This chapter is distributed under the terms of the Creative Commons Attribution
Noncommercial License, which permits any noncommercial use, distribution, and reproduction in
any medium, provided the original author(s) and source are credited.
2 Prospective Models of Society’s Future Metabolism: What Industrial Ecology Has…