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The Flyer’s dilemma and the Logger’s case for climate justice

ABSTRACT: Highlights • Measuring CO2 emissions by sector absconds the impact of luxury emission behaviors.• The average flyer emits more CO2/year than the average forest user.• Air travel emissions mitigation employs engineering and voluntary offset solutions.• Forest users face top-down regulation and international conservation interventions. The Paris Agreement and the United Nations Framework Convention on Climate Change outline mitigation goals by sector. However, this framing is likely to create climate justice issues as it does not explicitly address the contributions of individuals. High emissions from luxury activities like commercial air travel are addressed with voluntary and behavioral change approaches for mitigation while the global rural communities who are dependent on forestry-based livelihoods face carbon credit schemes as well as federal and international conservation interventions despite having a lower per capita carbon footprint. To illustrate this point, the emissions of the average air traveler and several international flights are compared to the average forest user in relation to land use change emissions. In many cases, a single round-trip international flight emits more CO2 per person than the yearly national average of India, Mexico, and Tanzania; all countries with important forestry sectors and indigenous people that depend on forestry-based livelihoods. The disproportionate regulatory burden of forest users in the developing world contrasts their relative contribution to climate change and the unregulated individual behaviors of the global elite. It is time for mandatory offset charges on airline tickets and regulatory framing of mitigation by per capita contributions instead of sector-based approaches.

SUBMITTER: Jurjonas M

PROVIDER: S-EPMC7521871 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Project description:This paper introduces a scalable "climate health justice" model for assessing and projecting incidence, treatment costs, and sociospatial disparities for diseases with well-documented climate change linkages. The model is designed to employ low-cost secondary data, and it is rooted in a perspective that merges normative environmental justice concerns with theoretical grounding in health inequalities. Since the model employs International Classification of Diseases, Ninth Revision Clinical Modification (ICD-9-CM) disease codes, it is transferable to other contexts, appropriate for use across spatial scales, and suitable for comparative analyses. We demonstrate the utility of the model through analysis of 2008-2010 hospitalization discharge data at state and county levels in Texas (USA). We identified several disease categories (i.e., cardiovascular, gastrointestinal, heat-related, and respiratory) associated with climate change, and then selected corresponding ICD-9 codes with the highest hospitalization counts for further analyses. Selected diseases include ischemic heart disease, diarrhea, heat exhaustion/cramps/stroke/syncope, and asthma. Cardiovascular disease ranked first among the general categories of diseases for age-adjusted hospital admission rate (5286.37 per 100,000). In terms of specific selected diseases (per 100,000 population), asthma ranked first (517.51), followed by ischemic heart disease (195.20), diarrhea (75.35), and heat exhaustion/cramps/stroke/syncope (7.81). Charges associated with the selected diseases over the 3-year period amounted to US$5.6 billion. Blacks were disproportionately burdened by the selected diseases in comparison to non-Hispanic whites, while Hispanics were not. Spatial distributions of the selected disease rates revealed geographic zones of disproportionate risk. Based upon a downscaled regional climate-change projection model, we estimate a >5% increase in the incidence and treatment costs of asthma attributable to climate change between the baseline and 2040-2050 in Texas. Additionally, the inequalities described here will be accentuated, with blacks facing amplified health disparities in the future. These predicted trends raise both intergenerational and distributional climate health justice concerns.

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The Flyer’s dilemma and the Logger’s case for climate justice

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