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Purpose: Recent scholarship has explored higher education institutions' (HEIs) role in transitioning to a sustainable society, but empirically, questions remain regarding their impact on the sustainability of surrounding areas. This study aims to examine the correlation between HEIs' sustainability actions and local sustainability performance. Design/methodology/approach: This study uses a linear regression model and principal component analysis to examine the sustainability performance of 105 US metropolitan statistical areas (MSAs) using the US cities sustainable development goal (SDG) index, which hosts 427 HEIs known for sustainability efforts. The weighted HEI sustainability performance score is calculated based on the QS sustainability universities ranking. Findings: The correlation between MSA and HEI sustainability performance exhibits a mix of positive and negative associations, with individual and interlinked SDGs serving as proxies. These correlations encompass a wide range of goals, from economic aspects of SDG 1, 2, 3, 7, 9, social aspects of SDG10 and 16, to socio-environmental aspects of SDG12. Research limitations/implications: Further exploration is needed to identify the causal mechanisms behind associations between SDG measures and HEI sustainability performance, whether influenced by the institution, the individual or both. Practical implications: This study suggests that HEIs are already associated with some aspects of community sustainability, but greater contributions to a broader array of sustainability measures are possible. Social implications: The correlation found between HEI sustainability actions and SDG10, 12 and 16 index performance in an MSA highlights a connection between HEIs and the attainment of societal goals. Originality/value: To the best of the authors' knowledge, this study is the first to examine the correlation between HEI and MSA sustainability performance in the US through individual and interlinked SDG proxies. It provides novel empirical evidence that demonstrates an association between HEI and some aspects of community sustainability performance. [ABSTRACT FROM AUTHOR]

U.S. forests and agriculture present unique opportunities to mitigate greenhouse gas (GHG) emissions. U.S. forests currently remove a large amount of carbon dioxide from the atmosphere each year and store it as a terrestrial carbon sink, a trend that is projected to continue, although at a decreasing rate over time. Agriculture is and will continue to be a net source of GHGs. To encourage additional mitigation, analyses suggest addressing forest loss, forest aging, wildfire, and encouraging greater forest growth. In agriculture, analyses suggest addressing animal operation methane emissions and nitrous oxide from fertilizer use. Absent new targeted policies to encourage mitigation practices such as these, existing programs may need to be better leveraged for GHG mitigation, even if that is not their explicit objective. Leveraging existing programs requires coordinated outreach efforts to ensure that practices are not cross-purposed. Development of standards and verification practices is also necessary to ensure desirable outcomes. Finally, greater mitigation may be possible by maximizing the effectiveness of voluntary efforts from private and non-governmental organizations, and not necessarily the implementation of new policies. This conclusion represents a departure from traditional commentary on the subject, but arguably represents a more realistic path forward to achieving climate mitigation objectives in the near-term. [ABSTRACT FROM AUTHOR]

Abstract: Through carbon offset programs, forest owners can be offered financial incentives to enhance the uptake and storage of carbon on their lands. The amount of carbon that can be claimed by an individual landowner will ultimately depend on multiple factors, including the productivity of the forest, the management history of the stand, and the program in which the landowner is participating. This project presents a modeling framework for forest carbon accounting which is driven by forest yield curves and carbon pool partitioning. Within this model the amount of creditable carbon generated from adjusting the rotation age of multiple forest stands can be estimated for 46 distinct North American forest types. The model also provides a comparison of total creditable carbon generated under three carbon accounting methodologies: the Department of Energy 1605b Registry, the Chicago Climate Exchange, and the Voluntary Carbon Standard. In our evaluation of a 5-year rotation extension across 102 unique modeling scenarios, we find large differences among the carbon accounting schemes. This has implications for both forest landowners and policymakers alike. In particular, methodologies to account for such issues as leakage, permanence, additionality, and baseline establishment, while potentially increasing the overall legitimacy of any forest carbon offset program, can reduce creditable carbon to the forest owner (by up to 70%). Regardless of the protocol used, we also note strong regional differences, with Pacific Northwest forests of fir, spruce, hemlock, alder and maple being the most effective at sequestering carbon on a per area basis. [Copyright &y& Elsevier]