Is green a grey area? Sustainability and inclusivity; the ageing population and recycling

There are growing pressures (political, legislative and environmental) to increase material recovery through recycling. There are two basic recycling schemes in the UK; kerbside and bring-site schemes. With current kerbside schemes, when a householder becomes unable, through age, illness or disability, to physically move their waste containers (bins,boxes or bags) onto the pavement for collection, the refuse collection service provider will enter the property premises, take the containers out to the refuse collection vehicle (RCV), empty them before returning them to the starting point. Obviously, with bring sites, people travel to the site and place the recycling in the banks themselves. With an ageing population, increasing numbers of older people are requiring specialist recycling services. These are likely to become more time consuming and costly as household numbers increase. Bring sites have obvious limitations for older people with their limited mobility and reduce strength. To date little or no previous research has been undertaken about barriers to recycling for older people and the implications to waste management providers of an ageing population. This paper describes initial work beginning to assess this problem within Lab4Living at Sheffield Hallam University (SHU).In this positioning paper, we examine literature regarding barriers to recycling and relationships with age. We outline a hypothetical scenario for the impact of the ageing population on future material recovery rates in the UK, present the initial results of a survey and we describe the potential role that design can play to eliminate these barriers and our activities within this area in our project; ‘The Grey Areas of Green Design’

Did NAFTA Help Mexico? An Update After 23 Years

This paper compares the performance of the Mexican economy with that of the rest of the region and with its own economic performance, over the 23 years since NAFTA took effect, based on the available economic and social indicators. Among the results, it finds that Mexico ranks 15th out of 20 Latin American countries in growth of real GDP per person, the most basic economic measure of living standards; Mexico's poverty rate in 2014 was higher than the poverty rate of 1994; and real (inflation-adjusted) wages were almost the same in 2014 as in 1994. It also notes that if NAFTA had been successful in restoring Mexico's pre-1980 growth rate -- when developmentalist economic policies were the norm -- Mexico today would be a high-income country, with income per person comparable to Western European countries. If not for Mexico's long-term economic failure, including the 23 years since NAFTA, it is unlikely that immigration from Mexico would have become a major political issue in the United States, since relatively few Mexicans would seek to cross the border. This report updates a version released in February 2014

Did NAFTA Help Mexico? An Assessment After 20 Years

This paper compares the performance of the Mexican economy with that of the rest of the region over the past 20 years, based on the available economic and social indicators, and with its own past economic performance. Among the results it finds that Mexico ranks 18th out of 20 Latin American countries in growth of real GDP per person, the most basic economic measure of living standards; Mexico's poverty rate of in 2012 was almost identical to the poverty rate of 1994; real (inflation-adjusted) wages for Mexico were almost the same in 2012 as in 1994; and unemployment has increased significantly. It also notes that if NAFTA had been successful in restoring Mexico's pre-1980 growth rate -- when developmentalist economic policies were the norm -- Mexico today would be a relatively high income country, with income per person significantly higher than that of Portugal or Greece. It is unlikely that immigration reform would be a major political issue in the United States, since relatively few Mexicans would seek to cross the border

Iterative Amortized Inference

Inference models are a key component in scaling variational inference to deep latent variable models, most notably as encoder networks in variational auto-encoders (VAEs). By replacing conventional optimization-based inference with a learned model, inference is amortized over data examples and therefore more computationally efficient. However, standard inference models are restricted to direct mappings from data to approximate posterior estimates. The failure of these models to reach fully optimized approximate posterior estimates results in an amortization gap. We aim toward closing this gap by proposing iterative inference models, which learn to perform inference optimization through repeatedly encoding gradients. Our approach generalizes standard inference models in VAEs and provides insight into several empirical findings, including top-down inference techniques. We demonstrate the inference optimization capabilities of iterative inference models and show that they outperform standard inference models on several benchmark data sets of images and text.Comment: International Conference on Machine Learning (ICML) 201

Certificate Oversupply in the European Union Emission Trading System and its Impact on Technological Change

We examine the number of patent applications for climate change mitigation technologies (CCMT) filed at the European Patent Office and seek to relate it to the oversupply of emission allowances under the European Union Emission Trading System (EU ETS). We use a panel count data approach to show that firms covered by the policy take the oversupply into account when determining their level of innovative activity. We also indirectly demonstrate that the “weak” version of the Porter hypothesis holds for the EU ETS, given the sizable oversupply of allowances in the market. Our results suggest that in order to set the European economy firmly on the low-carbon technology pathway, and to ensure that the ambitious EU climate targets are met, serious policy changes must be undertaken

Farming for Health: Aspects from Germany

Until now, the term ‘Farming for Health’ is unknown in Germany but it would cover a wide spectrum of different kinds of social agriculture already existing in Germany, such as farms that integrate disabled people or drug therapy into their farming system, or farms that integrate children, pupils or older people. Relevant work in Germany is done in ‘Sheltered Workshops’, where supporting and healing powers of farming and gardening are used for disabled people with a diversity of work possibilities. Relevant activities also take place in work-therapy departments using horticultural therapy and in animalassisted therapy. There are an estimated number of 1000 different projects for mentally ill, disabled and elderly people in hospitals, Sheltered Workshops, on farms and other projects in Germany with a multitude of individual work places. The upcoming idea of Farming for Health may be met by the term ‘multifunctionality’ as one of the future goals of agriculture: to combine the production of cash crops with social functions, like providing space for recreation, care for landscapes and care for disabled people. Research showed that farms that work together with clients in their farming system have more time and financial support to integrate aims like caring for biotopes and landscape measures into their work schedule

06391 Abstracts Collection -- Algorithms and Complexity for Continuous Problems

From 24.09.06 to 29.09.06, the Dagstuhl Seminar 06391 ``Algorithms and Complexity for Continuous Problems\u27\u27 was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available

Non-local magnon transport in the compensated ferrimagnet GdIG

We study the diffusive transport of magnons through the compensated ferrimagnetic insulator Gd3Fe5O12 (GdIG). The magnons are injected and detected electrically in a non-local measurement configuration via two parallel Pt strips deposited on top of the ferrimagnet. GdIG exhibits a rich magnon spectrum, with several thermally populated magnon bands at room temperature. We observe a strong temperature and field dependence of the non-local voltage in the detector strip. Just below the magnetization compensation temperature we find that the increasing magnetic field causes an unexpected enhancement of the non-local signal. A comparison with GdIG spin wave spectra obtained from atomistic modeling indicates that the thermal magnon population is important for understanding the non-local voltage signal