38 research outputs found

    Evaluating Forecasting Methods

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    Ideally, forecasting methods should be evaluated in the situations for which they will be used. Underlying the evaluation procedure is the need to test methods against reasonable alternatives. Evaluation consists of four steps: testing assumptions, testing data and methods, replicating outputs, and assessing outputs. Most principles for testing forecasting methods are based on commonly accepted methodological procedures, such as to prespecify criteria or to obtain a large sample of forecast errors. However, forecasters often violate such principles, even in academic studies. Some principles might be surprising, such as do not use R-square, do not use Mean Square Error, and do not use the within-sample fit of the model to select the most accurate time-series model. A checklist of 32 principles is provided to help in systematically evaluating forecasting methods

    Toward a polycentric low-carbon transition: the roles of community-based energy initiatives in enhancing the resilience of energy systems

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    An understanding of the resilience of energy systems is critical in order to tackle forthcoming challenges. This chapter proposes that the polycentric governance perspective, developed by Vincent and Elinor Ostrom, may be highly relevant in formulating policies to enhance the resilience of future energy systems. Polycentric governance systems involve the coexistence of many self-organized centers of decision making at multiple levels that are formally independent of each other, but operate under an overarching set of rules. Given this polycentric approach, this chapter studies the roles of community-based energy initiatives and, in particular, of renewable energy cooperatives, in enhancing the institutional resilience of energy systems. In this perspective, the chapter identifies three major socio-institutional obstacles, which undermine this resilience capacity: the collective action problem arising from the diffusion of sustainable energy technologies and practices, the lack of public trust in established energy actors and the existence of strong vested interests in favor of the status quo. Then, it shows why the development of community-based energy initiatives and renewable energy cooperatives may offer effective responses to these obstacles, relying on many empirical illustrations. More specifically, it is argued that community-based energy initiatives present institutional features encouraging the activation of social norms and a high trust capital, therefore enabling them to offer effective solutions to avoid free riding and enhance trust in energy institutions and organizations. The creation of federated polycentric structures may also offer a partial response to the existence of vested interests in favor of the status quo. Finally, some recommendations for policymakers are derived from this analysis

    Risk and benefit judgment of excreta as fertilizer in agriculture: An exploratory investigation in Rwanda and Uganda

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    This research explores the use of psychometric techniques to improve understanding of psychological mechanisms underlying judgment of excreta as fertilizer in agriculture including other excreta related activities. Participants consisted of environmental health students, smallholder farmers and traders in rural and urban Rwanda and Uganda. The finding reveals an inverse relationship between risk and benefit judgments. This relationship holds for the three groups of participants with significant risk-benefit correlations of p&lt;.0001. This finding is consistent with other studies showing that affect plays a key role in risk perception, judgment and decision making.Building on this finding, we conclude that individuals with high risk and low benefit judgment for excreta related practices would eschew them or emphasize strict standards. Individuals with a high benefit and low risk judgment would engage in excreta management practices regardless of the actual risks involved. This finding is relevant for risk communication and risk management as it indicates that individuals do not rely only on risk management information they receive concerning excreta and related risks but also depend to an extent on their feelings about these substances when making judgments and decisions regarding the purpose for using excreta as fertilizer and the level of exposure they can tolerate and manage.Funding also from: Kungl. Skogs och Lantbruksakademien (H10-0233-ADA-01).Travel grants were also provided by Stiftelsen Futura.QC 20160411</p
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