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Scenario projects increasingly combine quantitative models with qualitative, participatory products in order to make scenarios more coherent, relevant, credible and creative. A major advantage of adding participatory, qualitative scenarios is their ability to produce creative, innovative, non-linear products. Integrating participatory results with quantitative models, however, can lower their credibility of both products when they are not consistent. The low level of structure in most participatory output limits possibilities for linking them to quantitative models. More structure could be introduced, but this might hamper the creativity of the workshop results: outcomes (process) and outputs (storylines). This paper tests a new method to analyse the creativity of scenario storylines in order to analyse the effects of structuring tools on the creativity of workshop results. Both the perceptions of participants and the resulting storylines of nine case studies across Europe are used in the analysis. Results show that the use of structuring tools can have a negative effect on the creativity of the workshop, but the influence seems to vary between the different tools. The study shows the benefit of using indicators for the scenario quality criteria. More research is needed to develop indicators for other scenario quality criteria, to improve those developed here and to study the impact of structuring tools with a larger data set.  相似文献   
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The productivity of public capital has been very popular research topic for US and other OECD countries, while studies using data from transitional countries are almost non-existent. In this paper, we analyze the productivity of public and private capital in Russia with parametric and non-parametric regression methods utilizing a unique regional level panel data from 2003 to 2007. More specifically, we assess public capital’s spillover effects, i.e., the productivity of public capital on private output, as well as the productivity of different capital ownership types on total output. We find that public capital has a clear positive effect on private output. However, our estimates and test statistics show that parametric methods are not able to grasp vast non-linearities and heterogeneity present among Russian regions, while the non-parametric approach can capture these important features of the data better. Furthermore, we find that multicollinearity is an important methodological problem which should be accounted for in analysis concerning capital data. Our results also suggest that the impact of public capital in Russia is heterogeneous in the sense that for some regions its contribution to private output is insignificant or even negative while it has a considerable positive role for most regions. Concerning the capital elasticities of total output, we find that public capital is less productive than private capital and roughly as productive as joint private-public capital.  相似文献   
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This paper explores an almost untouched topic in the fast-growing climate econometrics literature—the implications of climate change for government expenditures. Using a rich sub-national dataset for Russia covering 1995–2009, we estimate the impacts of changes in climatic conditions through short-term variation and medium-term changes in average regional temperatures and precipitation. We show a strong and robust negative (but non-linear) relation between regional budget expenditures and population-weighted temperature. The results indicate that an increase in temperature results in a decrease in public expenditures and that the magnitude of this effect diminishes the warmer the region. Further, our results suggest that the benefits from warming accumulate and that adaptation measures could help leverage those benefits. The estimated decreases in regional government expenditure are, however, quite small. In mild warming scenarios, according to our estimates Russia saves roughly USD 3–4 billion in regional government expenditures between 2000 and the 2020s without undertaking adaptation measures, depending on the scenario. It should be noted that our results are estimated for a scenario of mild temperature increase (1–2 \(^{\circ }\)C). Larger temperature increases are likely to have dramatic consequences e.g. from loss of permafrost and methane release that are impossible to predict with available historical data.  相似文献   
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