1,721,036 research outputs found
On the use of behavioural instruments to affect individual waste production and disposal decisions
No full textThis chapter provides a survey on the applicability of insights from behavioural economics for the design of waste policies. Specifically, we explore the impact of some behavioural interventions on individual waste behaviours by considering the main contributions from the literature
On Adaptation to Climate Change and Risk Exposure in the Nile Basin of Ethiopia
Full text linkThis study investigates the impact of climate change adaptation on farm households’ downside risk exposure (e.g., risk of crop failure) in the Nile Basin of Ethiopia. The analysis relies on a moment-based specification of the stochastic production function. We estimate a simultaneous equations model with endogenous switching to account for the heterogeneity in the decision to adapt or not, and for unobservable characteristics of farmers and their farm. We find that (i) climate change adaptation reduces downside risk exposure; farm households that implemented climate change adaptation strategies get benefits in terms of a decrease in the risk of crop failure; (ii) farm households that did not adapt would benefit the most in terms of reduction in downside risk exposure from adaptation; and (iii) there are significant differences in downside risk exposure between farm households that did and those that did not adapt to climate change. The analysis also shows that the quasi-option value, that is the value of waiting to gather more information, plays a significant role in farm households’ decision on whether to adapt to climate change. Farmers that are better informed may value less the option to wait to adapt, and so are more likely to adapt than other farmers.adaptation, climate change, endogenous switching, Ethiopia, risk exposure, stochastic production function, skewness
Redeveloping Derelict and Underused Historic City Areas: Evidence from a Survey of Real Estate Developers
Full text linkInfill redevelopment—the transformation of previously used urban sites—is generally regarded as an important way to attain environmental and urban sustainability goals. At many locales, however, such urban renewal, community development, and tax revenue goals must be reconciled with historic preservation objectives. Are economic incentives and regulatory relief useful tools for encouraging reuse of abandoned or underutilized urban sites with historic buildings? Answering this question is of key importance for many European cities and for older US cities, and has important implications in terms of urban sustainability and “smart growth” initiatives. We use conjoint choice experiments to explore the relative importance of economic incentives, regulatory relief, land use and property regime offerings at underutilized historical sites in Venice, Italy. We survey real estate developers and investors, and ask them to choose between pairs of hypothetical projects in three Venice locations, as well as between one of these projects and the alternative to do a development project elsewhere. Statistical models of the responses to these choice questions indicate that respondents are sensitive to the price of acquiring the land (and hence to any policies that influence prices), and especially sensitive to the property regime that would be granted to developers and investors and to the allowable land use. Contrary to expectations, our respondents were insensitive to tightening or relaxing the stringency of building conservation restrictions. Our findings sound a common theme with Howland (2004), who warns that redevelopment of previously used sites in Baltimore is impaired by obsolete land uses, zoning and infrastructure (but not by suspected or actual contamination). We conclude that the City should focus on offering land uses and property regimes that are more in tune with developer demand.Conjoint Choice Experiments, Real Estate Developers, Building Conservation Restrictions, Redevelopment Incentives, Brownfields, Infill Redevelopment
Redeveloping Derelict and Underused Historical City Areas: Evidence from a Survey of Real Estate Developers
Full text linkInfill redevelopment—the transformation of previously used urban sites—is generally regarded as an important way to attain environmental and urban sustainability goals. At many locales, however, such urban renewal, community development, and tax revenue goals must be reconciled with historic preservation objectives. Are economic incentives and regulatory relief useful tools for encouraging reuse of abandoned or underutilized urban sites with historic buildings? Answering this question is of key importance for many European cities and for older US cities, and has important implications in terms of urban sustainability and “smart growth” initiatives. We use conjoint choice experiments to explore the relative importance of economic incentives, regulatory relief, land use and property regime offerings at underutilized historical sites in Venice, Italy. We survey real estate developers and investors, and ask them to choose between pairs of hypothetical projects in three Venice locations, as well as between one of these projects and the alternative to do a development project elsewhere. Statistical models of the responses to these choice questions indicate that respondents are sensitive to the price of acquiring the land (and hence to any policies that influence prices), and especially sensitive to the property regime that would be granted to developers and investors and to the allowable land use. Contrary to expectations, our respondents were insensitive to tightening or relaxing the stringency of building conservation restrictions. Our findings sound a common theme with Howland (2004), who warns that redevelopment of previously used sites in Baltimore is impaired by obsolete land uses, zoning and infrastructure (but not by suspected or actual contamination). We conclude that the City should focus on offering land uses and property regimes that are more in tune with developer demand.conjoint choice experiments, real estate developers, building conservation restrictions, redevelopment incentives, brownfields, infill redevelopment
Detecting Starting Point Bias in Dichotomous-Choice Contingent Valuation Surveys
Full text linkWe examine starting point bias in CV surveys with dichotomous choice payment questions and follow-ups, and double-bounded models of the WTP responses. We wish to investigate (1) the seriousness of the biases for the location and scale parameters of WTP in the presence of starting point bias; (2) whether or not these biases depend on the distribution of WTP and on the bids used; and (3) how well a commonly used diagnostic for starting point bias—a test of the null that bid set dummies entered in the right-hand side of the WTP model are jointly equal to zero—performs under various circumstances. Because starting point bias cannot be separately identified in any reliable manner from biases caused by model specification, we use simulation approaches to address this issue. Our Monte Carlo simulations suggest that the effect of ignoring starting point bias is complex and depends on the true distribution of WTP. Bid set dummies tend to soak up misspecifications in the distribution assumed by the researcher for the latent WTP, rather than capturing the presence of starting point bias. Their power in detecting starting point bias is low.Anchoring, Dichotomous choice contingent valuation, Starting point bias, Double-bounded models, Estimation bias
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Subset selection in dimension reduction methods
Full text linkDimension reduction methods play an important role in multivariate statistical analysis, in particular with high-dimensional data. Linear methods can be seen as a linear mapping from the original feature space to a dimension reduction subspace. The aim is to transform the data so that the essential structure is more easily understood. However, highly correlated variables provide redundant information, whereas some other feature may be irrelevant, and we would like to identify and then discard both of them while pursuing dimension reduction. Here we propose a greedy search algorithm, which avoids the search over all possible subsets, for ranking subsets of variables based on their ability to explain variation in the dimension reduction variates.Dimension reduction methods, Linear mapping, Subset selection, Greedy search
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