917 research outputs found

    The Impact of German Energy Policy on Household Energy Use

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    Who rebounds most? Estimating direct and indirect rebound effects for different UK socioeconomic groups

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    This study estimates the combined direct and indirect rebound effects from various types of energy efficiency improvement and behavioural change by UK households and explores how these effects vary with total expenditure. The methodology is based upon estimates of the expenditure elasticity and GHG intensity of 16 categories of goods and services, and allows for the capital cost and embodied emissions of the energy efficiency measures themselves. The study finds that rebound effects, in GHG terms, are modest (0-32%) for measures affecting domestic energy use, larger (25-65%) for measures affecting vehicle fuel use and very large (66-106%) for measures that reduce food waste. Furthermore, measures undertaken by low income households are associated with the largest rebound effects, with direct emissions forming a larger proportion of the total rebound effect for those households. Measures that are subsidised or affect highly taxed energy commodities may be less effective in reducing aggregate emissions. These findings highlight the importance of allowing for rebound effects within policy appraisals, as well as reinforcing the case for economy-wide carbon pricing. © 2014 Elsevier B.V

    Engaging stakeholders in research to address water-energy-food (WEF) nexus challenges

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    The water–energy–food (WEF) nexus has become a popular, and potentially powerful, frame through which to analyse interactions and interdependencies between these three systems. Though the case for transdisciplinary research in this space has been made, the extent of stakeholder engagement in research remains limited with stakeholders most commonly incorporated in research as end-users. Yet, stakeholders interact with nexus issues in a variety of ways, consequently there is much that collaboration might offer to develop nexus research and enhance its application. This paper outlines four aspects of nexus research and considers the value and potential challenges for transdisciplinary research in each. We focus on assessing and visualising nexus systems; understanding governance and capacity building; the importance of scale; and the implications of future change. The paper then proceeds to describe a novel mixed-method study that deeply integrates stakeholder knowledge with insights from multiple disciplines. We argue that mixed-method research designs—in this case orientated around a number of cases studies—are best suited to understanding and addressing real-world nexus challenges, with their inevitable complex, non-linear system characteristics. Moreover, integrating multiple forms of knowledge in the manner described in this paper enables research to assess the potential for, and processes of, scaling-up innovations in the nexus space, to contribute insights to policy and decision making

    A tale of two utopias: Work in a post-growth world

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    YesIn this paper, we aim to contribute to the literature on post-growth futures. Modern imaginings of the future are constrained by the assumptions of growth-based capitalism. To escape these assumptions we turn to utopian fiction. We explore depictions of work in Cokaygne, a utopian tradition dating back to the 12th century, and William Morris's 19th century News from Nowhere. Cokaygne is a land of excessive consumption without work, while in News from Nowhere work is the route to the good life. These competing notions provide inspiration for a post-growth vision of work. We argue that biophysical and social dynamics mean that in a post-growth economy we are likely to have to be less productive and work more. But, this can be a utopian vision. By breaking the link between work and consumption at the level of the individual, we can remove some of the coercion in work. This would free us to do jobs that contribute to the social good, rather than generate exchange value, and empower us to fight for good work. Finally, we draw on eco-feminist analyses of capitalism to argue that by challenging labour productivity growth we can also challenge wider forces of oppression

    Higher Wages for Sustainable Development? Employment and Carbon Effects of Paying a Living Wage in Global Apparel Supply Chains

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    YesIn this paper we explore how paying a living wage in global supply chains might affect employment and carbon emissions: Sustainable Development Goals 8 and 13. Previous work has advocated using wage increases for poorer workers to increase prices for wealthier consumers, thereby reducing consumption and associated environmental damage. However, the likely effects of such an approach remain unclear. Using an input-output framework extended with income and demand elasticities, we estimate the employment and carbon effects of paying a living wage to Brazilian, Russian, Indian and Chinese (BRIC) workers in the Western European clothing supply chain. We find negligible effects on carbon emissions but a substantial increase in BRIC employment under 3 scenarios of consumer behaviour. Changes in Western European consumption lead to small decreases in global carbon emissions and BRIC employment. However, the increase in BRIC wages increases demand in BRIC. This increased demand increases production which largely cancels out the carbon savings and generates net increases in BRIC employment. We conclude by arguing that paying higher wages in global supply chains represents a good but not sufficient step toward achieving the Sustainable Development Goals

    Unintended consequences: Unknowable and unavoidable, or knowable and unforgivable?

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    This is the final version. Available on open access from Frontiers Media via the DOI in this recordRecognizing that there are multiple environmental limits within which humanity can safely operate, it is essential that potential negative outcomes of seemingly positive actions are accounted for. This alertness to unintended consequences underscores the importance of so called ‘nexus’ research, which recognizes the integrated and interactive nature of water, energy and food systems, and aims to understand the broader implications of developments in any one of these systems. This article presents a novel framework for categorizing such detrimental unintended consequences, based upon how much is known about the system in question and the scope for avoiding any such unintended consequences. The framework comprises four categories (Knowable and Avoidable; Knowable and Unavoidable; Unknowable and Avoidable, and Unknowable and Unavoidable). The categories are explored with reference to examples in both the water-energy-food nexus and planetary boundary frameworks. The examples highlight the potential for the unexpected to happen and explore dynamic nature of the situations that give rise to the unexpected. The article concludes with guidance on how the framework can be used to increase confidence that best efforts have been made to navigate our way towards secure and sustainable water, energy and food systems, avoiding and/or managing unintended consequences along the way.Engineering and Physical Sciences Research Council (EPSRC

    One More Awareness Gap? The Behaviour–Impact Gap Problem

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    Preceding research has made hardly any attempt to measure the ecological impacts of pro-environmental behaviour in an objective way. Those impacts were rather supposed or calculated. The research described herein scrutinized the ecological impact reductions achieved through pro-environmental behaviour and raised the question how much of a reduction in carbon footprint can be achieved through voluntary action without actually affecting the socio-economic determinants of life. A survey was carried out in order to measure the difference between the ecological footprint of “green” and “brown” consumers. No significant difference was found between the ecological footprints of the two groups—suggesting that individual pro-environmental attitudes and behaviour do not always reduce the environmental impacts of consumption. This finding resulted in the formulation of a new proposition called the BIG (behaviour–impact gap) problem, which is an interesting addition to research in the field of environmental awareness gaps

    Anaerobic digestion: A prime solution for water, energy and food nexus challenges

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    This is the final version. Available on open access from Elsevier via the DOI in this record1st International Conference on Sustainable Energy and Resource Use in Food Chains, ICSEF 2017, 19-20 April 2017, Berkshire, UKWe solve the problem of identifying one or more optimal patterns of anaerobic digestion (AD) installation across the UK, by considering existing installations, the current feedstock potential and the project growth of the potential via population, demography and urbanization. We test several scenarios for the level of adoption of the AD operations in the community under varying amounts of feedstock supply, which may arise from change in food waste or energy crops generation via other policies and incentives. For the most resilient scales of solutions, we demonstrate for the UK the net energy production (bio-gas and electricity) from AD (and so the avoided emissions from grid energy), the mass of bio-waste processed (and avoided land-fill), and the quantum of digestate produced (as a proxy for avoided irrigation and fertilizer production). In order to simulate the AD innovation within WEF nexus we use agent based modelling (ABM) owing to its bottom-up approach and capability of modelling complex systems with relatively low level data and information

    Estimating Small Area Income Deprivation: An Iterative Proportional Fitting Approach

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    Small area estimation and in particular the estimation of small area income deprivation has potential value in the development of new or alternative components of multiple deprivation indices. These new approaches enable the development of income distribution threshold based as opposed to benefit count based measures of income deprivation and so enable the alignment of regional and national measures such as the Households Below Average Income with small area measures. This paper briefly reviews a number of approaches to small area estimation before describing in some detail an iterative proportional fitting based spatial microsimulation approach. This approach is then applied to the estimation of small area HBAI rates at the small area level in Wales in 2003-5. The paper discusses the results of this approach, contrasts them with contemporary ‘official’ income deprivation measures for the same areas and describes a range of ways to assess the robustness of the results
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