The objective of this research was to identify optimal spatial targeting and distributions of a fixed PES (payment systems for ecosystem services) budget that achieves the three objectives of maximizing forest‐based carbon storage to improve cost efficiency, maximizing poverty alleviation to promote equity, and maximizing economic impact to encourage economic development. We used the Central and Southern Appalachian Region as a case study to develop a county‐level framework for identifying optimal county targets and optimal budget allocations for forest‐based carbon sequestration that addresses the three objectives. The results show that optimal budgets are more geographically widespread under the multiple‐objective priority scenarios than under the single‐objective of maximizing carbon cost efficiency, and the optimal spatial distributions of the four priority scenarios do not change appreciably across priority scenarios. The quantified relationships reveal that different priority weights among the priority scenarios yield both competitive trade‐offs and synergistic relationships between the objectives.
Demographic changes have a profound impact on residential energy consumption. The number of single-person households is rapidly increasing around the world and the percentages of elderly individuals in the populations of almost all countries are expanding. The objective of our research was to analyze how single-person households and elderly households impact residential energy intensity, defined as annual residential energy consumption per capita per unit of finished area of the household’s house, and how those impacts interact with each other using South Korea as a case study. Our findings suggest that the rise of solo living and an ageing population have overlapping effects on energy consumption and threaten future improvements in residential energy intensity. Specifically, an increase of single-person households results in a decline in energy intensity regardless of whether the household is elderly or non-elderly and the effect of an increase in elderly households on energy intensity depends on whether the household is single- or multiple-person. Given the similar average size of finished area for single-person households, the difference in per unit energy consumption between elderly versus non-elderly households likely comes from behavioral differences such as a greater use of energy-intensive appliances by non-elderly households than elderly households. However, for multiple-person households, the effect of such behavioral differences seems to be dominated by the effect of a house’s shared amenities. The common space and energy-consuming amenities of a house are shared by more individuals in non-elderly households, leading to more intensive energy consumption by non-elderly multiple-person households than by elderly multiple-person households.
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