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Cora Kingdon

Publications and source records attributed to Cora Kingdon.

2 recordsLinked to original sources

Even Small Companies Can Save Lives by Reducing Emissions

Global warming is often framed in broad planetary numbers such as the 1.5C and 2C warming thresholds, creating the false impression that individual corporations efforts to reduce emissions are meaningless in the absence of collective action. This perspective causes companies to reduce ambition towards voluntarily cutting emissions, as they believe their pollution has negligible impacts on its own. Reframing the issue to focus on the life-saving potential of independent corporate actions empowers companies to act and holds them accountable for inaction. Here, we show the results from an innovative climate-health modeling technique which calculates the avoided deaths from sustainability efforts for 3,084 companies spanning a range of sizes and sectors. From the reported emissions and planned emissions reductions, we create scenarios for 2020-2049 with and without companies pledged emissions cuts and calculate the resulting warming from 2020-2100 using a climate emulator. We then use temperatures from these scenarios to calculate the deaths resulting from warming by using mortality damage functions. We find that more than 92% of these companies stand to save at least one life by following through with emissions reduction plans. Additionally, if all 3,084 companies follow through with their emissions reduction plans, over 4.4 million temperature-related deaths can be avoided.

physics.ao-ph

Multidimensional well-being of US households at a fine spatial scale using fused household surveys: fusionACS

Social science often relies on surveys of households and individuals. Dozens of such surveys are regularly administered by the U.S. government. However, they field independent, unconnected samples with specialized questions, limiting research questions to those that can be answered by a single survey. The fusionACS project seeks to integrate data from multiple U.S. household surveys by statistically "fusing" variables from "donor" surveys onto American Community Survey (ACS) microdata. This results in an integrated microdataset of household attributes and well-being dimensions that can be analyzed to address research questions in ways that are not currently possible. The presented data comprise the fusion onto the ACS of select donor variables from the Residential Energy Consumption Survey (RECS) of 2015, the National Household Transportation Survey (NHTS) of 2017, the American Housing Survey (AHS) of 2019, and the Consumer Expenditure Survey - Interview (CEI) for the years 2015-2019. The underlying statistical techniques are included in an open-source $R$ package, fusionModel, that provides generic tools for the creation, analysis, and validation of fused microdata.

stat.AP