Are there gender differences in household carbon footprints? Evidence from Spain

Osorio, Pilar; Tobarra, María-Ángeles; Tomás, Manuel

doi:10.1016/j.ecolecon.2024.108130

Cited by 3 publications

(3 citation statements)

References 47 publications

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“…These were normalized to average GHGs from U.S. meat consumption for each method to facilitate comparisons across methods and data. Both the mass-based and input-output approaches are widely used in the literature [40][41][42].…”

Section: Estimating Greenhouse Gas Emissions From Meatmentioning

confidence: 99%

“…Most environmental footprint methods rely heavily on expenditures as a proxy for consumption. CEX data are suitable when studying national averages or select aspects of consumption, but researchers increasingly use these models to explore how income [41,[46][47][48], race/ethnicity [25], sex [49], and other demographic characteristics [42,50] relate to environmental impacts for broad categories of consumption. Others have used CEX to show that consumption by certain racial/ethnic groups cause disproportionate air pollution burdens for other groups [51].…”

Section: Implications Of Inadequate Measurementmentioning

confidence: 99%

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Do we accurately measure what we consume?

Goldstein,

Gounaridis,

Newell

et al. 2024

Environ. Res. Lett.

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Understanding how consumption patterns affect the environment and shape well-being hinges on the rationale that the data collected on what is consumed, who consumes it, and where it is consumed are indeed accurate. To identify these consumption patterns and recommend corresponding policies, researchers and policy makers often rely on national surveys. Studies have explored the accuracy of individual surveys and the level of agreement across surveys of the same type (e.g. household expenditures), but no studies have compared representative national surveys measuring consumption in different ways. This study compares household consumption measured as expenditures and as material consumption (i.e. physical units) to assess how well we currently measure what we consume. We use multiple rigorous, national surveys to estimate meat consumption, household energy use, and private automobile use in the United States, with consumption profiles parsed by affluence, race/ethnicity, and education. Our results indicate that commonly used surveys may not accurately track important aspects of household consumption. For meat consumption, which included 30 consumption profiles detailing the consumption patterns across different demographic characteristics and meat types (e.g. kilograms beef consumed/capita for Caucasians), there is considerable disagreement between data sources for 20 profiles. By contrast, national surveys accurately measure household energy and transport (disagreement for four profiles). Our findings indicate that national surveys more accurately measure consistently tracked, standardized consumables like electricity than irregularly tracked, variable goods such as food. These results cast doubt on studies that use national surveys to draw conclusions about the how the environmental impacts of food, and, potentially, other goods (e.g. manufactured goods) vary across demographic groups. Overcoming this challenge will necessitate new surveys, updating legacy databases, and harnessing breakthroughs in data science.

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Section: Estimating Greenhouse Gas Emissions From Meatmentioning

confidence: 99%

Section: Implications Of Inadequate Measurementmentioning

confidence: 99%

Do we accurately measure what we consume?

Goldstein,

Gounaridis,

Newell

et al. 2024

Environ. Res. Lett.

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show abstract

“…In recent years, there has been a growing interest in researching household carbon footprints, encompassing various aspects, with notable advancements particularly in measurement, comparison, and evaluation. Researchers have conducted surveys and data analyses to initially identify variations in carbon footprint levels among different regions and demographics [20,21] , examining them at both macro levels, such as national and regional scales, and micro levels, including individual households [22,23] . These efforts have significantly contributed to a comprehensive understanding of the sources, influencing factors, and impacts of household carbon emissions.…”

Section: Introductionmentioning

confidence: 99%

A review of household carbon footprint: measurement methods, evolution and emissions assessment

Du,

Zhong,

Shi

et al. 2024

Carbon Footprints

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The escalating concern over environmental issues stemming from global climate change is noteworthy. With the rapid pace of urbanization and industrialization, residential consumption has increasingly contributed to carbon emissions, posing an environmental challenge that demands attention. This paper presents a comprehensive overview of measurement methods, evolution, and assessment of household carbon footprints. It delves deeply into the concept of carbon footprints and measurement techniques, and examines the impacts of economic and social factors as well as consumption behaviors on household carbon footprints. The article introduces carbon footprint assessment models and tools suitable for individual up to city-level applications. It also thoroughly discusses the challenges related to data quality, model construction, and parameter selection in the assessment process, while offering insights into future research directions. By synthesizing interdisciplinary research findings, this article proposes a multidimensional and multi-level framework for assessing household carbon footprints, providing scientific guidance for policy formulation, environmental protection actions, and public participation. It aims to foster the transition of society towards a low-carbon and sustainable development model.

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Household awareness, acceptance, and willingness to pay for renewable energy

Sabroso,

Suaner,

Lucmayon

et al. 2024

Div Journ

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The purpose of this study was to determine the level of household awareness, acceptance, and willingness to pay for renewable energy. It is quantitative research that determines the significant difference specifically in the amount of willingness to pay for renewable energy when analyzed according to profile; the significant relationship precisely between the level of awareness and willingness to pay; and the significant relationship particularly between the level of technology acceptance and willingness to pay. The study's independent variables are the level of awareness and the technology acceptance model. The dependent variable is the willingness to pay. The mediator variable is the respondents’ profile. Respondents were contacted through online platforms for data gathering and given an online survey questionnaire. Once they were done with the profile section, they sought to answer questions prior to their level of awareness, technology acceptance method, and willingness to pay. Next, the results were statistically analyzed using Logistic Regression and Two-Way ANOVA. After running the data, it is interpreted to determine the significant difference and relationship. The researchers then determined that there is a significant difference in the amount of willingness to pay for renewable energy when analyzed according to profile; a significant relationship between the level of awareness and willingness to pay; and a significant relationship between the level of technology acceptance method, specifically the perceived usefulness, and willingness to pay.

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Are there gender differences in household carbon footprints? Evidence from Spain

Cited by 3 publications

References 47 publications

Do we accurately measure what we consume?

Do we accurately measure what we consume?

A review of household carbon footprint: measurement methods, evolution and emissions assessment

Household awareness, acceptance, and willingness to pay for renewable energy

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