AKTiiVS Ltd., Latvia.
Latvian Institute of Aquatic Ecology, Latvia.
Sci Total Environ. 2017 Apr 15;584-585:29-40. doi: 10.1016/j.scitotenv.2017.01.097. Epub 2017 Jan 27.
The ecological status of coastal and marine waterbodies world-wide is threatened by multiple stressors, including nutrient inputs from various sources and increasing occurrences of invasive alien species. These stressors impact the environmental quality of the Baltic Sea. Each Baltic Sea country contributes to the stressors and, at the same time, is affected by their negative impacts on water quality. Knowledge about benefits from improvements in coastal and marine waters is key to assessing public support for policies aimed at achieving such changes. We propose a new approach to account for variability in benefits related to differences in socio-demographics of respondents, by using a structural model of discrete choice. Our method allows to incorporate a wide range of socio-demographics as explanatory variables in conditional multinomial logit models without the risk of collinearity; the model is estimated jointly and hence more statistically efficient than the alternative, typically used approaches. We apply this new technique to a study of the preferences of Latvian citizens towards improvements of the coastal and marine environment quality. We find that overall, Latvians are willing to pay for reducing losses of biodiversity, for improving water quality for recreation by reduced eutrophication, and for reducing new occurrences of invasive alien species. However a significant group within the sample seems not to value environmental improvements in the Baltic Sea, and, thus, is unwilling to support costly measures for achieving such improvements. The structural model of discrete choice reveals substantial heterogeneity among Latvians towards changes in the quality of coastal and marine waters of Latvia.
全球沿海和海洋水体的生态状况受到多种胁迫因素的威胁,包括各种来源的营养输入和入侵外来物种的日益增加。这些胁迫因素影响着波罗的海的环境质量。每个波罗的海国家都对这些胁迫因素做出了贡献,同时也受到了它们对水质负面影响的影响。了解改善沿海和海洋水域的好处是评估公众对旨在实现这些变化的政策的支持的关键。我们提出了一种新的方法,通过离散选择的结构模型,考虑到与受访者社会人口统计学差异相关的利益的可变性。我们的方法允许将广泛的社会人口统计学变量作为条件多项逻辑回归模型中的解释变量,而不会有共线性的风险;该模型是联合估计的,因此比替代方法(通常使用的方法)更具统计效率。我们将这项新技术应用于拉脱维亚公民对改善沿海和海洋环境质量的偏好研究。我们发现,总体而言,拉脱维亚人愿意为减少生物多样性的丧失、通过减少富营养化来改善娱乐用水质量以及减少新出现的入侵外来物种而付费。然而,样本中的一个重要群体似乎并不重视波罗的海的环境改善,因此不愿意支持实现这些改善所需的昂贵措施。离散选择的结构模型揭示了拉脱维亚人对拉脱维亚沿海和海洋水域质量变化存在着实质性的异质性。