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Berk, Richard A.; Fovell, Robert G.

doi:10.1023/a:1005489221644

Cited by 59 publications

(3 citation statements)

References 18 publications

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“…Significant explanatory variables in estimates of WTP for climate stability include gender [42], education [51], level of perceived responsibility [43], temperature increases [51], payment vehicle type [52][53][54][55], awareness of climate change impacts [54], respondent effort [49], and uncertainty of climate outcomes [41,50].…”

Section: The Background For Assessment Of Willingness To Pay For Climmentioning

confidence: 99%

A Review of Willingness to Pay Studies for Climate Change Mitigation in the Energy Sector

Štreimikienė

Baležentis

Ališauskaitė-Šeškienė

et al. 2019

Energies

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A wide range of climate change mitigation policies have been developed around the world and these policies have become one of the major concerns, however there is still debate among scientists about what are the main external benefits and how to account for them and prepare effective climate change mitigation policies that might be widely accepted by society in general. One of the main ways to assess external benefit of climate change mitigation in energy sector is to conduct Willingness to Pay (WTP) assessments for climate change mitigation options by households. There are many studies on WTP assessment for climate stability conducted in recent years. The paper surveys the existing literature on WTP for climate change mitigation policy in the energy sector. The aim of the paper is to identify the common variables across a varied set of WTP studies in order to establish a basis for comparison. The key variables selected for analysis of WTP studies for climate change mitigation in energy sector addressed in the paper are: the WTP assessment methods; the main attributes used for comparing alternatives in WTP studies, targeted climate change mitigation policies in energy sector, mathematical model used to estimate WTP, the main socio-demographic factors having impact on WTP for climate change mitigation policies. The analysis of WTP studies for climate change mitigation is grouped in two areas: renewables and energy efficiency measures in households. The paper provides analytical structure for future studies to evaluate the effects of variation in key comparative elements upon WTP.

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Section: The Background For Assessment Of Willingness To Pay For Climmentioning

confidence: 99%

A Review of Willingness to Pay Studies for Climate Change Mitigation in the Energy Sector

Štreimikienė

Baležentis

Ališauskaitė-Šeškienė

et al. 2019

Energies

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“…This shows that the low willingness to participate in actions to fight climate change is related to the low public attention to climate change [32]. Ajzen, Berk, Leiserowitz and Sander all believe that the public's future actions will be affected by their awareness of meteorological issues [33][34][35][36].…”

Section: The Public's Attention To Meteorological Events Affects Its mentioning

confidence: 99%

Influencing Factors of Public Participation in Meteorological Disaster Prevention and Mitigation

et al. 2020

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Meteorological disasters have become a global challenge due to the increased prevalence and severity, and China is among the most affected countries. In this paper, based on a randomized survey in China, the authors employed a structural equation model to study the influencing factors of public participation in meteorological disaster prevention and mitigation (MDPM). It is found that the behavior of the government has a significant positive influence, with an influencing coefficient of 0.494 on the public’s willingness to participate in MDPM. The degree of community involvement also has a significant positive influence on the public’s willingness, with an influencing coefficient of 0.636. The public’s attention to meteorological events and ability to participate have less impact on their participation in MDPM, with coefficients of 0.057 and 0.075, respectively. The information acquisition has a significant negative impact, with an influencing coefficient of −0.084. There is a strong positive covariation between community participation and governmental behavior, with a covariance coefficient of 0.27, indicating that the two factors promote each other and together boost the public’s willingness to participate in MDPM.

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“…Berk and Fovell (1999) showed that for those who were willing to resettle, factors such as transparency of the relocation process, public/social infrastructure, financial compensation, housing and income/job security can significantly influence their choices. However, a large share of the population was not willing to resettle given the proposed alternative resettlement programs included in their choice experiment.…”

Section: Previous Research On Climate Change Adaptationmentioning

confidence: 99%

Economic Aspects of Climate Change Adaptation and Natural Hazard Risk Mitigation

Meng¹

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Untitled

Cited by 59 publications

References 18 publications

A Review of Willingness to Pay Studies for Climate Change Mitigation in the Energy Sector

A Review of Willingness to Pay Studies for Climate Change Mitigation in the Energy Sector

Influencing Factors of Public Participation in Meteorological Disaster Prevention and Mitigation

Economic Aspects of Climate Change Adaptation and Natural Hazard Risk Mitigation

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