Enhancing the governance of social-ecological systems for more equitable and sustainable development is hindered by inadequate knowledge about how different social groups and communities rely on natural resources. We used openly accessible national survey data to develop a metric of overall dependence on natural resources. These data contain information about households' sources of water, energy, building materials and food.
Science should provide solutions for societal transformations toward sustainability in the face of global environmental change. Land system science, as a systemic science focused on complex socio-ecological interactions around land use and associated trade-offs and synergies, is well placed to contribute to this agenda.
There is increased interest in the role of trees to reduce air pollution and thereby improve human health and well-being. This study determined the removal of air pollutants by dry deposition of trees across the Basque Country and estimated its annual economic value. A model that calculates the hourly dry deposition of NO2, O3, SO2, CO and PM10 on trees at a 1 km x 1 km resolution at a regional scale was developed.
Environmental externalities call for the use of environmental taxes to get prices right and thereby reduce environmental pressures. To date, however, the Spanish government makes only limited use of environmental taxes. One major reason for the policy reluctance are concerns on the regressive impacts of environmental taxes. We argue that policy can hedge against these concerns by means of revenue recycling. More specifically, we assess the impacts of a green tax reform where additional revenues are redistributed lump-sum to Spanish households on an equal-per-capita basis. Based on quantitative evidence from coupled microsimulation and computable equilibrium analyses we find that such a green tax reform leads to a substantial reduction in harmful emissions while having a progressive impact.
Financiado por el Ministerio de Ciencia Innovación y Universidades y la Agencia Estatal de Investigación,
a través de la Convocatoria: Maria de Maeztu 2017 (BOE 21/10/2017) siendo la referencia de nuestro expediente: MDM-2017-0714
If you continue browsing, we assume that you agree to their use. For further information, please click here.