75 research outputs found
Valuat ion St udies
akes every effort t o ensure t he accuracy of all t he inform at ion ( t he " Cont ent " ) cont ained in t he publicat ions on our plat form . However, Taylor & Francis, our agent s, and our licensors m ake no represent at ions or warrant ies what soever as t o t he accuracy, com plet eness, or suit abilit y for any purpose of t he Cont ent . Any opinions and views expressed in t his publicat ion are t he opinions and views of t he aut hors, and are not t he views of or endorsed by Taylor & Francis. The accuracy of t he Cont ent should not be relied upon and should be independent ly verified wit h prim ary sources of inform at ion. Taylor and Francis shall not be liable for any losses, act ions, claim s, proceedings, dem ands, cost s, expenses, dam ages, and ot her liabilit ies what soever or howsoever caused arising direct ly or indirect ly in connect ion wit h, in relat ion t o or arising out of t he use of t he Cont ent . This art icle m ay be used for research, t eaching, and privat e st udy purposes. Any subst ant ial or syst em at ic reproduct ion, redist ribut ion, reselling, loan, sub-licensing, syst em at ic supply, or dist ribut ion in any form t o anyone is expressly forbidden. Journal of Environm ental Planning and M anagem ent, 42(1), 23±43, 1999 f Ecolog y a nd Resource M a nagem ent, U niversity of E dinburgh , King s Building s, W est M ains R oa d, Ed inburg h EH 9 3 JG , U K D ep a rtm ent o f Econom ics, U niversity o f Stirling , Stirling FK 9 4 LA , U K § D ep a rtm ent o f A griculture , U nive rsity o f A be rdee n, 58 1 K ing Stree t, A berdeen A B2 4 5 U A , U K (Received June 1 9 98 ; re v ise d Sep tem ber 1 9 98 ) A BSTRACT This paper reports on an open-e nded Contingent V aluation M ethod study of the conservation bene ®ts of Env ironm entally Se nsitive A reas (ESA s) i
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Cross-sectoral impacts of the 2018–2019 Central European drought and climate resilience in the German part of the Elbe River basin
The 2018–2019 Central European drought was probably the most extreme in Germany since the early sixteenth century. We assess the multiple consequences of the drought for natural systems, the economy and human health in the German part of the Elbe River basin, an area of 97,175 km2 including the cities of Berlin and Hamburg and contributing about 18% to the German GDP. We employ meteorological, hydrological and socio-economic data to build a comprehensive picture of the drought severity, its multiple effects and cross-sectoral consequences in the basin. Time series of different drought indices illustrate the severity of the 2018–2019 drought and how it progressed from meteorological water deficits via soil water depletion towards low groundwater levels and river runoff, and losses in vegetation productivity. The event resulted in severe production losses in agriculture (minus 20–40% for staple crops) and forestry (especially through forced logging of damaged wood: 25.1 million tons in 2018–2020 compared to only 3.4 million tons in 2015–2017), while other economic sectors remained largely unaffected. However, there is no guarantee that this socio-economic stability will be sustained in future drought events; this is discussed in the light of 2022, another dry year holding the potential for a compound crisis. Given the increased probability for more intense and long-lasting droughts in most parts of Europe, this example of actual cross-sectoral drought impacts will be relevant for drought awareness and preparation planning in other regions
Cross-sectoral impacts of the 2018–2019 Central European drought and climate resilience in the German part of the Elbe River basin
The 2018–2019 Central European drought was probably the most extreme in Germany since the early sixteenth century. We assess the multiple consequences of the drought for natural systems, the economy and human health in the German part of the Elbe River basin, an area of 97,175 km2 including the cities of Berlin and Hamburg and contributing about 18% to the German GDP. We employ meteorological, hydrological and socio-economic data to build a comprehensive picture of the drought severity, its multiple effects and cross-sectoral consequences in the basin. Time series of different drought indices illustrate the severity of the 2018–2019 drought and how it progressed from meteorological water deficits via soil water depletion towards low groundwater levels and river runoff, and losses in vegetation productivity. The event resulted in severe production losses in agriculture (minus 20–40% for staple crops) and forestry (especially through forced logging of damaged wood: 25.1 million tons in 2018–2020 compared to only 3.4 million tons in 2015–2017), while other economic sectors remained largely unaffected. However, there is no guarantee that this socio-economic stability will be sustained in future drought events; this is discussed in the light of 2022, another dry year holding the potential for a compound crisis. Given the increased probability for more intense and long-lasting droughts in most parts of Europe, this example of actual cross-sectoral drought impacts will be relevant for drought awareness and preparation planning in other regions
Higher vegetation sensitivity to meteorological drought in autumn than spring across European biomes
Europe has experienced severe drought events in recent decades, posing challenges to
understand vegetation responses due to diverse vegetation distribution, varying growth
stages, different drought characteristics, and concurrent hydroclimatic factors. To analyze
vegetation response to meteorological drought, we employed multiple vegetation indicators
across European biomes. Our findings reveal that vegetation sensitivity to drought increases
as the canopy develops throughout the year, with sensitivities from −0.01 in spring to 0.28 in
autumn and drought-susceptible areas from 18.5 to 57.8% in Europe. Soil water shortage
exacerbates vegetation-drought sensitivity temporally, while its spatial impact is limited.
Vegetation-drought sensitivity strongly correlates with vapor pressure deficit and partially
with atmospheric CO2 concentration. These results highlight the spatiotemporal variations in
vegetation-drought sensitivities and the influence of hydroclimatic factors. The findings
enhance our understanding of vegetation response to drought and the impact of concurrent
hydroclimatic factors, providing valuable sub-seasonal information for water management
and drought preparedness
The internalization of externalities in the production of electricity: Willingness to pay for the attributes of a policy for renewable energy
The Internalization of Externalities in the Production of Electricity: Willingness to Pay for the Attributes of a Policy for Renewable Energy
Improving the process of valuing non-market benefits: combining citizens' juries with choice modelling
We attempt a first combination of the participatory technique known as the “citizens’ jury” with choice modelling, a stated-preference technique increasingly favored by environmental economists. Our application is conducted in the context of water quality improvements under the Water Framework Directive, the most significant reform in water legislation in the European Union for many years. We compare results with those of a conventional choice experiment. We find that the choice experiment format can be successfully implemented in a “jury” setting, and that moving from an individual to a collective choice setting produces a change in both values and preferences
Using conjoint analysis to quantify public preferences over the environmental impacts of wind farms. An example from Spain
This paper focuses on the effect on people's utility of the potential environmental impacts of wind farm developments. We report on research designed to provide insight into their preferences, and we show how two alternative choice modelling techniques can be used to estimate them. Our results show that significant social costs in the form of environmental impacts can be associated with wind farm developments. As relative environmental values are revealed by these methods, it would be possible to develop wind farms in such a way that minimises the total social costs of the investment and which maximises its net benefits
Using conjoint analysis to quantify public preferences over the environmental impacts of wind farms. An example from Spain
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