153,797 research outputs found

    Monitoring Climate Finance in Developing Countries: Challenges and Next Steps

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    At the 18th Conference of the Parties to the United Nations Framework Convention on Climate Change (UNFCCC), the parties agreed to a standard format for developed countries to follow when reporting on the climate finance they provide to developing countries. Developed countries will use these formats for the first time when they submit their Biennial Reports to the UNFCCC in early 2014. Later in 2014, developing countries are expected to submit Biennial Update Reports showing the financial support that they have received. From initial attempts to measure and report climate finance by developed and developing countries, it is already apparent that information on finance provided is unlikely to match information on finance received.Aside from the reporting requirements of the UNFCCC, better financial data can help decision makers in developing countries identify gaps, improve coordination and management, and raise funds to mitigate and adapt to climate change. Better climate finance information can also enable countries to draw lessons from the use of different financial instruments and develop strategies and policies that aim to expand finance for climate change. Improved data will allow the information reported by developed countries to be cross-checked, thus promoting transparency, completeness, and accuracy. Finally, it can contribute to a more comprehensive picture of climate financial flows in relation to development assistance at the national and international levels. This working paper reports on three workshops in Asia, Africa, and Latin America, in which participants discussed some of the steps that developing countries and their international partners can take toward monitoring and tracking climate finance more effectively. More than 40 representatives from 20 developing countries, regional development banks, and national organizations attended the three workshops. Participants shared information on the limits of existing legislation and mandates, national planning and approval processes, financial management systems, efforts to coordinate among ministries and development partners, and many other unique challenges faced by the participating countries. WRI obtained additional information via a questionnaire, follow-up correspondence, and interviews with representatives of the countries

    Community Development Evaluation Storymap and Legend

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    Community based organizations, funders, and intermediary organizations working in the community development field have a shared interest in building stronger organizations and stronger communities. Through evaluation these organizations can learn how their programs and activities contribute to the achievement of these goals, and how to improve their effectiveness and the well-being of their communities. Yet, evaluation is rarely seen as part of a non-judgemental organizational learning process. Instead, the term "evaluation" has often generated anxiety and confusion. The Community Development Storymap project is a response to those concerns.Illustrations found in this document were produced by Grove Consultants

    Click Here for Change: Your Guide to the E-Advocacy Revolution

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    Describes how organizations are using state-of-the-art technology to engage supporters and improve their advocacy efforts. Includes case studies and lessons on how to incorporate electronic approaches in campaign strategies

    Spatial and seasonal relationships between Pacific harbor seals (Phoca vitulina richardii) and their prey, at multiple scales

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    Knowing where pinnipeds forage is vital to managing and protecting their populations, and for assessing potential interactions with fisheries. We assessed the spatial relationship between the seasonal distribution of Pacific harbor seals (Phoca vitulina richardii) outfitted with satellite transmitters and the seasonal distributions of potential harbor seal prey species in San Francisco Bay, California. Pearson’s correlation coefficients were calculated between the number of harbor seal locations in an area of the San Francisco Bay and the abundance of specific prey species in the same area. The influence of scale on the analyses was assessed by varying the scale of analysis from 1 to 10 km. There was consistency in the prey species targeted by harbor seals year-round, although there were seasonal differences between the most important prey species. The highest correlations between harbor seals and their prey were found for seasonally abundant benthic species, located within about 10 km of the primary haul-out site. Probable foraging habitat for harbor seals was identified, based on areas with high abundances of prey species that were strongly correlated with harbor seal distribution. With comparable local data inputs, this approach has potential application to pinniped management in other areas, and to decisions about the location of marine reserves designed to protect these species

    Big data analyses reveal patterns and drivers of the movements of southern elephant seals

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    The growing number of large databases of animal tracking provides an opportunity for analyses of movement patterns at the scales of populations and even species. We used analytical approaches, developed to cope with big data, that require no a priori assumptions about the behaviour of the target agents, to analyse a pooled tracking dataset of 272 elephant seals (Mirounga leonina) in the Southern Ocean, that was comprised of >500,000 location estimates collected over more than a decade. Our analyses showed that the displacements of these seals were described by a truncated power law distribution across several spatial and temporal scales, with a clear signature of directed movement. This pattern was evident when analysing the aggregated tracks despite a wide diversity of individual trajectories. We also identified marine provinces that described the migratory and foraging habitats of these seals. Our analysis provides evidence for the presence of intrinsic drivers of movement, such as memory, that cannot be detected using common models of movement behaviour. These results highlight the potential for big data techniques to provide new insights into movement behaviour when applied to large datasets of animal tracking.Comment: 18 pages, 5 figures, 6 supplementary figure

    Defining the Social Dimension of Triple Bottom Line for the Australian Dairy Industry: Challenges, Priorities and Opportunities

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    Understanding the social impact the dairy industry has on employees and local communities is part of Dairy Australia’s commitment to the Triple Bottom Line (TBL) framework, which emphasises that businesses have social, environmental and economic impacts and responsibilities. This social impact assessment project, currently underway, aims to identify and quantify the social value of the dairy industry, whilst proactively identifying areas for improvements. Through an online survey for employees and a random postal survey of 15,000 dairy community residents, the project investigates how Australians perceive the Dairy Industry, as well as their wellbeing, quality of life, community involvement and work experiences. This paper provides an overview of the study, outlining why developing quantifiable indicators for the social dimension of TBL that are designed to be as rigorous as current financial reporting is a business priority. Examples of how the findings will contribute to the identification and management of issues, measures of industry sustainability and future strategy are discussed

    Impact in networks and ecosystems: building case studies that make a difference

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    open accessThis toolkit aims to support the building up of case studies that show the impact of project activities aiming to promote innovation and entrepreneurship. The case studies respond to the challenge of understanding what kinds of interventions work in the Southern African region, where, and why. The toolkit has a specific focus on entrepreneurial ecosystems and proposes a method of mapping out the actors and their relationships over time. The aim is to understand the changes that take place in the ecosystems. These changes are seen to be indicators of impact as increased connectivity and activity in ecosystems are key enablers of innovation. Innovations usually happen together with matching social and institutional adjustments, facilitating the translation of inventions into new or improved products and services. Similarly, the processes supporting entrepreneurship are guided by policies implemented in the common framework provided by innovation systems. Overall, policies related to systems of innovation are by nature networking policies applied throughout the socioeconomic framework of society to pool scarce resources and make various sectors work in coordination with each other. Most participating SAIS countries already have some kinds of identifiable systems of innovation in place both on national and regional levels, but the lack of appropriate institutions, policies, financial instruments, human resources, and support systems, together with underdeveloped markets, create inefficiencies and gaps in systemic cooperation and collaboration. In other words, we do not always know what works and what does not. On another level, engaging users and intermediaries at the local level and driving the development of local innovation ecosystems within which local culture, especially in urban settings, has evident impact on how collaboration and competition is both seen and done. In this complex environment, organisations supporting entrepreneurship and innovation often find it difficult to create or apply relevant knowledge and appropriate networking tools, approaches, and methods needed to put their processes to work for broader developmental goals. To further enable these organisations’ work, it is necessary to understand what works and why in a given environment. Enhanced local and regional cooperation promoted by SAIS Innovation Fund projects can generate new data on this little-explored area in Southern Africa. Data-driven knowledge on entrepreneurship and innovation support best practices as well as effective and efficient management of entrepreneurial ecosystems can support replication and inform policymaking, leading thus to a wider impact than just that of the immediate reported projects and initiatives

    2012 State of Metropolitan Housing Report

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    This report updates Metropolitan Housing Coalition's nine annual measures of fair and affordable housing for the Louisville, KY Metropolitan Statistical Area: Concentration of Subsidized Housing; Housing Segregation; Renters with Excessive Cost Burden; Production and Rehabilitation of Affordable Housing; Homeownership Rate; Access to Homeownership; Foreclosures; Homelessness; and Community Development Block Grants (CDBG) and HOME Funds.The 2012 State of Metropolitan Housing Report clearly demonstrates Metropolitan Louisville's growing need for safe, fair, and affordable housing. For the first time, the tenth annual State of Metropoltian Housing Report includes data on the number of children experiencing homelessness in the MSA's public school systems; before MHC reported only on Jefferson County Public Schools.The 2012 report also includes a focus topic: vacant properties and their impact on the community as well as current efforts and best practices that to address this issue. Additionally, the report also drills down into the Neighborhood Stabilization Program, a federal program designed to address the issue of vacant properties, and how it was used in Louisville

    CSi in South Africa: Examining CSI Strategy, Practice, and Attitudes with a Focus on Social Enterprise and Blended Value

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    The project aimed to: Identify attitudes and practices among leading CSI officers in South Africa surrounding CSI objectives, CSI strategy, and major philanthropy models, particularly social enterprise and blended valueAssess the market for Heart's Blended Value Proposition Funds among CSI officer
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