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Carbon dioxide (CO 2) emissions from community-based consumption are a major contributor to global greenhouse gas emissions. However, little is understood about how demographic, socioeconomic, and household factors may contribute to community CO 2 emissions variation. Using traditional regression methods to model community emissions does not discriminate which of these factors are responsible for CO 2 emissions in high carbon emitting communities versus low carbon emitting communities, leading to policy development that does not consider emission variation across communities. To address this issue, we used quantile regression to model these effects on different quantiles of community emissions for 1451 communities across Canada and each province in 2015, respectively. The results showed that population, followed by affluence, were the most important variables affecting total community emissions, while affluence was the most important factor affecting per capita community emissions. However, the effect sizes were not consistent across quantiles, decreasing for population and increasing for affluence from low to high emission communities. Population density was significant across all communities except the lowest quantile communities, with the effect size increasing from smaller to larger communities. Additionally, our measure of poverty was significantly associated with increases in total and per capita emissions for all quantiles at the national level. Our finding that factors responsible for CO 2 emissions varied across communities of different quantiles suggests that successful emission reduction policies must account for the diversity of community characteristics, particularly considering variation in population and affluence. Our study also shows poverty alleviation is an effective means for CO 2 emission reduction and should be considered when adopting emission reduction policies. • We used quantile regression to model the variation in community CO 2 emissions. • Factors responsible for CO 2 varied greatly from low to high CO 2 emission quantiles. • Population and affluence affected CO 2 most but were inconsistent across quantiles. • Emission reduction policies must account for these community emission variations. • Poverty alleviation could have the co-benefit of limiting community CO 2 emissions. [ABSTRACT FROM AUTHOR]

The heavy reliance on information and communication technology (ICT) has prompted the importance of cyber security more than ever in history. Although there are various studies that explored the importance of cybersecurity solutions, the impact of production and usage of these solutions on the natural environment and their economic impact has been rarely researched. The objective of this research is to investigate the environmental and economic impact of cybersecurity solutions. An extensive Life Cycle Assessment (LCA) has been performed on three cybersecurity solutions to assess and compare their environmental impact. Based on global warming potential, the embodied carbon footprint was determined. Carbon footprint and operational costs were used to calculate Life Cycle Cost (LCC) analysis and these data were then used to compare the eco-efficiency of the three cybersecurity solutions. This research compares three cybersecurity solutions: Next Generation DataGuard (NGD), Current State of Art Solution (CSAS), and a Generic Cybersecurity Solution (GCS), to identify an economically viable and environmentally friendly cybersecurity solution. The result of the analysis indicated that NGD was approximately 58% and 88% more energy-efficient than CSAS and GCS, respectively. Also, the LCC of NGD was approximately 6%- 12% lower than CSAS and 22%- 40% lower than GCS in selected provinces in Canada. The eco-efficiency of CSAS was approximately 60% less than NGD. Next Generation DataGuard is found to be a successful solution in this research among the three solutions. This study will be useful to researchers, cybersecurity industries, and policymakers to develop informed decisions on cybersecurity solutions. [Display omitted] • The life cycle environmental and economic performance of three cybersecurity solutions were compared. • Next Generation DataGuard (NGD) was approximately 58% and 88% more energy-efficient than current state of art solution and generic cybersecurity solution, respectively. • The NGD displayed superior environmental and economic performance for all Canadian cities. [ABSTRACT FROM AUTHOR]