This doctoral thesis presents seven research papers in environmental and resource economics. I study how the economic value that society attaches to nature depends on the distribution of income or the provision of environmental goods, within or across generations. To this end, three novel environmental economic models are developed on how the distribution aects aggregated willingness to pay for pure public environmental goods, local environmental goods or natural capital. The analyses show that for many environmental goods the economic value is the higher the more equal incomes or environmental good endowment are distributed. For practical applications theory-based adjustment factors are derived. These allow to estimate societal willingness to pays from secondary data or to conduct inequality-adjustments in cost-benet analysis. In a series of applications to global biodiversity conservation, forest protection in Poland or water quality improvement in the Baltic Sea inequality adjustments are quantied and empirically tested. Turning to international environmental agreements, a simulation study shows that uncertainties about the regional distribution of climate change damages can increase the stability of climate coalitions if transfer schemes are implemented. Finally, a case study on the deepening of the Weser estuary highlights that accounting for environmental costs can substantially change the results of cost-benet analyses in transportation infrastructure planning. Overall, this dissertation shows that the distribution of economic and natural resources within and across generations substantially aects the economic value that society attaches to nature. I thereby contribute to the development of economic methods that aim not only at eciency, but also at equity and distribution, and thus follow the vision of a sustainable development. i c Y , of surveyed population. . . . 214 xii 6.3 Relationship between the transfer factor for income inequality T CV (•) and the ratio of income inequality in the study and policy sites, for Estonia (Sweden) as the study site in the left (right) panel. Each blue dot represents a possible