scholarly journals Counting Carbon: The Politics of Carbon Footprints and Climate Governance from the Individual to the Global

2014 ◽  
Vol 14 (1) ◽  
pp. 59-78 ◽  
Author(s):  
James Morton Turner

This article considers carbon footprints as a form of climate governance. Drawing on science studies to consider the contingent nature of calculative devices and governmentality studies to examine the intrinsic relationship between how problems are framed and remedied, this article advances two arguments. First, it argues that efforts to define and deploy carbon footprints contributed to a conceptual shift in emissions accounting, from a narrower metric focused on emissions from fossil fuel and electricity use—Carbon Footprint 1.0—to a more expansive metric that includes emissions embodied in consumption and trade—Carbon Footprint 2.0. Second, this article argues that these approaches to carbon footprints at the individual level have intersected with broader discussions about allocating emissions responsibilities and examining mitigation strategies at the national and international levels, offering alternative grounds for assigning responsibility for climate-change mitigation and expanding the range of policy options available for addressing emissions.

Animals ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. 563 ◽  
Author(s):  
Rey ◽  
Atxaerandio ◽  
Ruiz ◽  
Ugarte ◽  
González-Recio ◽  
...  

The aim of this trial was to study the agreement between the non-dispersive infrared methane analyzer (NDIR) method and the hand held laser methane detector (LMD). Methane (CH4) was measured simultaneously with the two devices totaling 164 paired measurements. The repeatability of the CH4 concentration was greater with the NDIR (0.42) than for the LMD (0.23). However, for the number of peaks, repeatability of the LMD was greater (0.20 vs. 0.14, respectively). Correlation was moderately high and positive for CH4 concentration (0.73 and 0.74, respectively) and number of peaks (0.72 and 0.72, respectively), and the repeated measures correlation and the individual-level correlation were high (0.98 and 0.94, respectively). A moderate concordance correlation coefficient was observed for the CH4 concentration (0.62) and for the number of peaks (0.66). A moderate-high coefficient of individual agreement for the CH4 concentration (0.83) and the number of peaks (0.77) were observed. However, CH4 concentrations population means and all variance components differed between instruments. In conclusion, methane concentration measurements obtained by means of NDIR and LMD cannot be used interchangeably. The joint use of both methods could be considered for genetic selection purposes or for mitigation strategies only if sources of disagreement, which result in different between-subject and within-subject variabilities, are identified and corrected for.


2013 ◽  
Vol 807-809 ◽  
pp. 1988-1991 ◽  
Author(s):  
Chang Chun Xu ◽  
Jing Huang ◽  
Fu Chen

In the process of supply chain management, the environmental impact is one important concern. Carbon footprint is a popular metric to quantify a products greenhouse gas (GHG) emissions, and assist supply chain management. In this paper, carbon footprints were calculated for three common milk products, 180 g Yogurt, 250 mL Fluid milk and 400g Skim milk powder (SMP) at the product brand level (YiYi®). The results demonstrated the well comprehensiveness and practicality of carbon footprint as streamlined indicator in supply chain management for agri-food products. The carbon footprints were compared among different life cycle stages as well as different products, and possible mitigation strategies were put forward for GHGs reductions. The relative contributions that different phases over the supply chain make were highlighted. On-farm emissions from cropping and livestock subsystems made up the majority of the carbon footprint, which deserved special attention in agri-food sector.


Author(s):  
Xiao-Ke Xu ◽  
Xiao-Fan Liu ◽  
Lin Wang ◽  
Sheikh Taslim Ali ◽  
Zhanwei Du ◽  
...  

AbstractImportanceSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in the city of Wuhan, China, in December 2019 and then spread globally. Limited information is available for characterizing epidemiological features and transmission patterns in the regions outside of Hubei Province. Detailed data on transmission at the individual level could be an asset to understand the transmission mechanisms and respective patterns in different settings.ObjectiveTo reconstruct infection events and transmission clusters of SARS-CoV-2 for estimating epidemiological characteristics at household and non-household settings, including super-spreading events, serial intervals, age- and gender-stratified risks of infection in China outside of Hubei Province.Design, Setting, and Participants9,120 confirmed cases reported online by 264 Chinese urban Health Commissions in 27 provinces from January 20 to February 19, 2020. A line-list database is established with detailed information on demographic, social and epidemiological characteristics. The infection events are categorized into the household and non-household settings.ExposuresConfirmed cases of SARS-CoV-2 infections.Main Outcomes and MeasuresInformation about demographic characteristics, social relationships, travel history, timelines of potential exposure, symptom onset, confirmation, and hospitalization were extracted from online public reports. 1,407 infection events formed 643 transmission clusters were reconstructed.ResultsIn total 34 primary cases were identified as super spreaders, and 5 household super-spreading events were observed. The mean serial interval is estimated to be 4.95 days (standard deviation: 5.24 days) and 5.19 days (standard deviation: 5.28 days) for households and non-household transmissions, respectively. The risk of being infected outside of households is higher for age groups between 18 and 64 years, whereas the hazard of being infected within households is higher for age groups of young (<18) and elderly (>65) people.Conclusions and RelevanceThe identification of super-spreading events, short serial intervals, and a higher risk of being infected outside of households for male people of age between 18 and 64 indicate a significant barrier to the case identification and management, which calls for intensive non-pharmaceutical interventions (e.g. cancellation of public gathering, limited access of public services) as the potential mitigation strategies.Key PointsQuestionWhat epidemiological characteristics and risk factors are associated with household and non-household transmissions of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in China outside of Hubei Province?FindingsIn this epidemiological study analyzing 1,407 SARS-CoV-2 infection events reported between 20 January 2020 and 19 February 2020, 643 transmission clusters were reconstructed to demonstrate the non-negligible frequency of super-spreading events, short duration of serial intervals, and a higher risk of being infected outside of household for male people of age between 18 and 64 years.MeaningThese findings provide epidemiological features and risk estimates for both household and non-household transmissions of SARS-CoV-2 in China outside of Hubei Province.


2019 ◽  
Vol 125 ◽  
pp. 02001
Author(s):  
Agus Purwanto ◽  
Syafrudin Syafrudin ◽  
Sunarsih Sunarsih

One of the causes of increasing greenhouse gases is the increase in CO2 emissions produced from both the industrial sector, transportation sector, and settlement sector. The settlement sector also contributes to CO2 emissions based on household activities. Research on carbon footprint from settlement activities is currently focusing on carbon footprints from household energy use both electricity and heat energy for cooking and have not taken into account the activities of vehicle fuel use, domestic waste, and water consumption. This paper aims to conduct a literature study on matters relating to the method of estimating the carbon footprint of settlement activities and influencing variables. The results of this study are a framework for estimating the more comprehensive carbon footprint of housing activities by adding private vehicle fuel consumption, waste generation, and water consumption in addition to the use of fuel for cooking and electricity use.


2020 ◽  
Vol 51 (3) ◽  
pp. 183-198
Author(s):  
Wiktor Soral ◽  
Mirosław Kofta

Abstract. The importance of various trait dimensions explaining positive global self-esteem has been the subject of numerous studies. While some have provided support for the importance of agency, others have highlighted the importance of communion. This discrepancy can be explained, if one takes into account that people define and value their self both in individual and in collective terms. Two studies ( N = 367 and N = 263) examined the extent to which competence (an aspect of agency), morality, and sociability (the aspects of communion) promote high self-esteem at the individual and the collective level. In both studies, competence was the strongest predictor of self-esteem at the individual level, whereas morality was the strongest predictor of self-esteem at the collective level.


2019 ◽  
Vol 37 (1) ◽  
pp. 18-34
Author(s):  
Edward C. Warburton

This essay considers metonymy in dance from the perspective of cognitive science. My goal is to unpack the roles of metaphor and metonymy in dance thought and action: how do they arise, how are they understood, how are they to be explained, and in what ways do they determine a person's doing of dance? The premise of this essay is that language matters at the cultural level and can be determinative at the individual level. I contend that some figures of speech, especially metonymic labels like ‘bunhead’, can not only discourage but dehumanize young dancers, treating them not as subjects who dance but as objects to be danced. The use of metonymy to sort young dancers may undermine the development of healthy self-image, impede strong identity formation, and retard creative-artistic development. The paper concludes with a discussion of the influence of metonymy in dance and implications for dance educators.


Author(s):  
Pauline Oustric ◽  
Kristine Beaulieu ◽  
Nuno Casanova ◽  
Francois Husson ◽  
Catherine Gibbons ◽  
...  

2020 ◽  
Author(s):  
Christopher James Hopwood ◽  
Ted Schwaba ◽  
Wiebke Bleidorn

Personal concerns about climate change and the environment are a powerful motivator of sustainable behavior. People’s level of concern varies as a function of a variety of social and individual factors. Using data from 58,748 participants from a nationally representative German sample, we tested preregistered hypotheses about factors that impact concerns about the environment over time. We found that environmental concerns increased modestly from 2009-2017 in the German population. However, individuals in middle adulthood tended to be more concerned and showed more consistent increases in concern over time than younger or older people. Consistent with previous research, Big Five personality traits were correlated with environmental concerns. We present novel evidence that increases in concern were related to increases in the personality traits neuroticism and openness to experience. Indeed, changes in openness explained roughly 50% of the variance in changes in environmental concerns. These findings highlight the importance of understanding the individual level factors associated with changes in environmental concerns over time, towards the promotion of more sustainable behavior at the individual level.


2020 ◽  
Author(s):  
Keith Payne ◽  
Heidi A. Vuletich ◽  
Kristjen B. Lundberg

The Bias of Crowds model (Payne, Vuletich, &amp; Lundberg, 2017) argues that implicit bias varies across individuals and across contexts. It is unreliable and weakly associated with behavior at the individual level. But when aggregated to measure context-level effects, the scores become stable and predictive of group-level outcomes. We concluded that the statistical benefits of aggregation are so powerful that researchers should reconceptualize implicit bias as a feature of contexts, and ask new questions about how implicit biases relate to systemic racism. Connor and Evers (2020) critiqued the model, but their critique simply restates the core claims of the model. They agreed that implicit bias varies across individuals and across contexts; that it is unreliable and weakly associated with behavior at the individual level; and that aggregating scores to measure context-level effects makes them more stable and predictive of group-level outcomes. Connor and Evers concluded that implicit bias should be considered to really be noisily measured individual construct because the effects of aggregation are merely statistical. We respond to their specific arguments and then discuss what it means to really be a feature of persons versus situations, and multilevel measurement and theory in psychological science more broadly.


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