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Table 2 Overview of previous CA/DCE applications in energy and sustainability studies

From: Sustainability assessments of energy scenarios: citizens’ preferences for and assessments of sustainability indicators

Specifications of the studies

Variations across the literature

Individuals being interrogated…

• Citizens as consumers/private households [84, 85]

• Citizens as potentially affected by an energy technology [62, 61]

• Citizens as private investors [86,87,88,89]

• Stakeholders involved in technology installation and operation [90, 91]

…concerning the objects of investigation…

Single energy technologies:

• Economic and ecologic effects of wind energy [64], including onshore [61] and offshore [63], siting decisions of geothermal power plants [92], nuclear waste [65], photovoltaics, hydro schemes, biomass, waste combustion, natural gas [62]

Policies, programs, products:

• Climate change mitigation policies for residential energy use [84]

• Private investments in technologies [89], e.g., wind [87], solar thermal [93]

• Electricity products [94], load control management/domestic appliance curtailment contracts [95]

• Smart meters [96], electricity saving products [97], energy pricing programs for demand side management [98]

…testing the value of the attributes…

Environmental aspects:

• Impacts on landscape, wildlife, air pollution [62], and landscape, habitat and fauna in combination with costs of technologies [61]

• Marine species abundance and diversity with artificial reefs, wind farm ownership, esthetic impacts [63]

Economic/social aspects:

• Employment in local community, price for electricity [62]

• Town location, distance from respondents’ home, monetary savings, tax revenue of community [64]

• Willingness to pay for energy efficiency versus CO2 reduction measures [84]

• Return, risk, duration and field of private financial investments [88, 89]

Level of information/personal involvement

• Environmental labeling, disclosure of information about life-cycle [85, 99]

• Transparent information on energy sources for electricity products [94], feedback provision on energy saving-programs [97, 100]

• Level of engagement in the technology/control over the technological features [96, 98]

• Procedural fairness and distributive justice in policy decisions [65]

• Personal convenience: type of curtailment contracts, frequency of curtailment, opt-out, advance notice, compensation [95]

…accounting for differences across individuals due to…

• Age [85, 87], gender [96]

• Income [84, 62, 88]

• Urban vs. rural communities [62]

• Environmental attitudes & behavior [87, 95]

• Trust in electricity suppliers [95]

…using methodological variations

• Comparison of contingent rating and choice experiment [61], CA and self-explicated method [101]

• CA to improve communication between LCA analysts and stakeholders [91]

• Combination of CA with field experiment [98]

  1. The review is based on an advanced search in the Science Direct database using the terms ‘conjoint analysis’ and ‘discrete choice experiment’. Results showed a large number of studies using CA and DCE in the area of transportation and sustainable mobility. Since our project only focuses on the electricity and heat sector, the studies are not included here