125
9. How can rebound effects affect the impact of a new technology on FEW systems? Find examples from the literature.
10. What are spillover effects? Find examples in the literature of positive and negative behavioral spillover in FEW systems, and describe the impact of behavioral
spillover on these systems.
11. Discuss how timescale mismatches could contribute to negative consequences
within a FEW system, using examples not discussed in this chapter. What are
some ways that these mismatches have been addressed?
12. Looking at Fig. 4.3, how might the timescales of decision-makers and the social
and ecological systems differ? Provide an example of these different time scales
using a specific FEW system. Propose a policy instrument that could address
these timescale mismatches in your chosen FEW system.
13. Discuss the advantages and disadvantages of primary and secondary data to
study human behavior in different FEW system domains. Provide examples of
when primary data should be used, and others of when secondary data may be
more appropriate.
14. Suppose you want to study the impact of a new technology that increases the
efficiency of household water use. How might you design an experiment to test
the impact of the technology? What would your target population be? How
would you measure the impact of the new technology on water use? What challenges would you expect in running your experiment?
15. How could you use secondary data to study the adoption of electric vehicles?
What existing data sources could you use? Be specific.
References
Bailey, C., & Majumdar, M. (2014). Absentee forest and farmland ownership in Alabama. In Rural
wealth creation (Vol. 134). London: Routledge.
Bollinger, B., & Gillingham, K. (2012). Peer effects in the diffusion of solar photovoltaic panels.
Marketing Science, 31(6), 900–912.
Bosch, N. S., Evans, M. A., Scavia, D., & Allan, J. D. (2014). Interacting effects of climate change
and agricultural BMPs on nutrient runoff entering Lake Erie. Journal of Great Lakes Research,
40(3), 581–589.
Dieter, C. A. (2018). Water Availability and Use Science Program: Estimated Use of Water in the
United States In 2015. Geological Survey.
EIA. (2018). 2015 Residential Energy Consumption Survey. https://www.eia.gov/consumption/
residential/data/2015/index.php?view=consumption
Flint, C. G., & Haynes, R. (2006). Managing forest disturbances and community responses:
Lessons from the Kenai Peninsula, Alaska. Journal of Forestry, 104(5), 269–275.
Frederick, S., Loewenstein, G., & O’Donoghue, T. (2002). Time discounting and time preference:
A critical review. Journal of Economic Literature, 40(2), 351–401.
Hart, P. S., & Nisbet, E. C. (2012). Boomerang effects in science communication: How motivated
reasoning and identity cues amplify opinion polarization about climate mitigation policies.
Communication Research, 39(6), 701–723.
Hunter, L. M., Murray, S., & Riosmena, F. (2013). Rainfall patterns and U.S. migration from rural
Mexico. International Migration Review, 47(4), 874–909.
4 Human Behavior and Adaptation
9. How can rebound effects affect the impact of a new technology on FEW systems? Find examples from the literature.
10. What are spillover effects? Find examples in the literature of positive and negative behavioral spillover in FEW systems, and describe the impact of behavioral
spillover on these systems.
11. Discuss how timescale mismatches could contribute to negative consequences
within a FEW system, using examples not discussed in this chapter. What are
some ways that these mismatches have been addressed?
12. Looking at Fig. 4.3, how might the timescales of decision-makers and the social
and ecological systems differ? Provide an example of these different time scales
using a specific FEW system. Propose a policy instrument that could address
these timescale mismatches in your chosen FEW system.
13. Discuss the advantages and disadvantages of primary and secondary data to
study human behavior in different FEW system domains. Provide examples of
when primary data should be used, and others of when secondary data may be
more appropriate.
14. Suppose you want to study the impact of a new technology that increases the
efficiency of household water use. How might you design an experiment to test
the impact of the technology? What would your target population be? How
would you measure the impact of the new technology on water use? What challenges would you expect in running your experiment?
15. How could you use secondary data to study the adoption of electric vehicles?
What existing data sources could you use? Be specific.
References
Bailey, C., & Majumdar, M. (2014). Absentee forest and farmland ownership in Alabama. In Rural
wealth creation (Vol. 134). London: Routledge.
Bollinger, B., & Gillingham, K. (2012). Peer effects in the diffusion of solar photovoltaic panels.
Marketing Science, 31(6), 900–912.
Bosch, N. S., Evans, M. A., Scavia, D., & Allan, J. D. (2014). Interacting effects of climate change
and agricultural BMPs on nutrient runoff entering Lake Erie. Journal of Great Lakes Research,
40(3), 581–589.
Dieter, C. A. (2018). Water Availability and Use Science Program: Estimated Use of Water in the
United States In 2015. Geological Survey.
EIA. (2018). 2015 Residential Energy Consumption Survey. https://www.eia.gov/consumption/
residential/data/2015/index.php?view=consumption
Flint, C. G., & Haynes, R. (2006). Managing forest disturbances and community responses:
Lessons from the Kenai Peninsula, Alaska. Journal of Forestry, 104(5), 269–275.
Frederick, S., Loewenstein, G., & O’Donoghue, T. (2002). Time discounting and time preference:
A critical review. Journal of Economic Literature, 40(2), 351–401.
Hart, P. S., & Nisbet, E. C. (2012). Boomerang effects in science communication: How motivated
reasoning and identity cues amplify opinion polarization about climate mitigation policies.
Communication Research, 39(6), 701–723.
Hunter, L. M., Murray, S., & Riosmena, F. (2013). Rainfall patterns and U.S. migration from rural
Mexico. International Migration Review, 47(4), 874–909.
4 Human Behavior and Adaptation