Department of Economics, St. Francis Xavier University, Antigonish, NS, B2G 2W5, Canada.
Department of Economics, St. Francis Xavier University, Antigonish, NS, B2G 2W5, Canada.
J Environ Manage. 2019 Jul 1;241:44-52. doi: 10.1016/j.jenvman.2019.04.007. Epub 2019 Apr 10.
Climate change poses risks to coastal cities due to sea-level rise and changes in storm surge. Using the contingent valuation method and payment card format, this paper seeks to estimate residents of Halifax Regional Municipality's willingness to pay (WTP) for protection from flooding impacts from storm surge. The contribution of this study is the application of this method in a previously unstudied region, to understand individuals' perception of risk and WTP to avoid damage, in order to inform policy aimed at protecting against damage due to sea-level rise and storm surge. WTP is estimated without and with the expectation of future climate change, and also for public vs. private goods. Data is analyzed and compared using OLS, Heckman two-step and Tobit Interval regression models. Results suggest that on average, WTP is roughly $12 per month per household over a ten-year period without the expectation of climate change, and roughly $13 per month per household assuming climate change will have negative impacts in the region. Individuals are most often willing to pay to protect against damages to public infrastructure, as well as power outages. Income and education do not play a major role in individuals WTP. Vulnerability to flooding and level of concern related to risky events have a statistically significant impact on WTP in all models, and gender and age have an impact on WTP in some models.
气候变化导致海平面上升和风暴潮变化,给沿海城市带来风险。本文采用条件价值评估法和支付卡格式,旨在估算哈利法克斯地区居民对风暴潮洪水影响的防护支付意愿 (WTP)。本研究的贡献在于将这种方法应用于一个以前未被研究的地区,以了解个人对风险的感知和避免损失的 WTP,从而为旨在防止海平面上升和风暴潮造成损失的政策提供信息。WTP 是在没有和有未来气候变化预期的情况下进行估算的,同时也针对公共和私人物品进行了估算。使用 OLS、Heckman 两步法和 Tobit 区间回归模型对数据进行了分析和比较。结果表明,在没有气候变化预期的情况下,平均每个家庭在十年内的 WTP 约为每月 12 加元,而假设气候变化将对该地区产生负面影响,则每月约为 13 加元。个人最愿意为保护公共基础设施和防止停电而支付费用。收入和教育在个人 WTP 中并没有起到主要作用。在所有模型中,洪水脆弱性和与风险事件相关的关注程度对 WTP 具有统计学意义,而性别和年龄在某些模型中对 WTP 有影响。