Measuring social equity in urban energy use and interventions using fine-scale data.

Cities seek nuanced understanding of intraurban inequality in energy use, addressing both income and race, to inform equitable investment in climate actions. However, nationwide energy consumption surveys are limited (<6,000 samples in the United States), and utility-provided data are highly aggregated. Limited prior analyses suggest disparity in energy use intensity (EUI) by income is ∼25%, while racial disparities are not quantified nor unpacked from income. This paper, using new empirical fine spatial scale data covering all 200,000 households in two US cities, along with separating temperature-sensitive EUI, reveals intraurban EUI disparities up to a factor of five greater than previously known. We find 1) annual EUI disparity ratios of 1.27 and 1.66, comparing lowest- versus highest-income block groups (i.e., 27 and 66% higher), while previous literature indicated only ∼25% difference; 2) a racial effect distinct from income, wherein non-White block groups (highest quintile non-White percentage) in the lowest-income stratum reported up to a further ∼40% higher annual EUI than less diverse block groups, providing an empirical estimate of racial disparities; 3) separating temperature-sensitive EUI unmasked larger disparities, with heating-cooling electricity EUI of lowest-income block groups up to 2.67 times (167% greater) that of highest income, and high racial disparity within lowest-income strata wherein high non-White (>75%) population block groups report EUI up to 2.56 times (156% larger) that of majority White block groups; and 4) spatial scales of data aggregation impact inequality measures. Quadrant analyses are developed to guide spatial prioritization of energy investment for carbon mitigation and equity. These methods are potentially translatable to other cities and utilities.

Evaluating the employment impact of recycling performance in Florida.

Recycling solid waste not only produces environmental and health benefits, but also generates economic benefit. This paper empirically evaluates the employment impact of Florida county recycling programs from 2000 through 2011, applying a fixed effects regression model. The results indicate that a one percentage point increase of county recycling rate leads to a 0.4% job growth in overall solid waste and recycling industry. However, the impact of recycling programs on green jobs are not uniform across the recycling subsectors: the effect is concentrated in the recycling processing sector while the solid waste collection sector and scrap materials businesses are unlikely to be influenced by county's recycling performance.

Quantifying solid waste and recycling employment in Florida, USA: Trends in public and private sectors.

Measuring and tracking the numbers of jobs in solid waste management and recycling industries over time provide basic data to inform decision makers about the important role played by this sector in a state or region's 'green economy'. This study estimates the number of people employed in the solid waste and recycling industry from 1989 through 2011 in the state of Florida (USA), applying a classification scheme based on the Standard Industrial Code (SIC) and utilizing the National Establishment Time Series (NETS) database. The results indicate that solid waste and recycling jobs in the private sector steadily increased from 1989 to 2011, whereas government employment for solid waste management fluctuated over the same period.