1,721,445 research outputs found
Economic benefits of reduced deforestation are offset by excess deforestation – a counterfactual simulation
A framework for valuing spatially targeted peatland restoration
Recent evidence suggests that the degree of degradation of peatlands is substantial, and that there is a significant potential to enhance the delivery of a wide range of ecosystem services by investing in peatland restoration. However, little is known about the social welfare impacts of peatland restoration and in particular how to spatially target restoration activities to maximise net benefits from investments in restoration. This paper investigates the steps required to conduct a spatially explicit economic impact assessment of peatland restoration, and highlights and discusses key requirements and issues associated with such an assessment. We find that spatially explicit modelling of the biophysical impacts of restoration over time is challenging due to non-linear effects and interaction effects. This has repercussions for the spatially explicit assessment of costs and benefits, which in itself is a demanding task. We conclude that the gains of investing in the research needed to conduct such an assessment can be high, both in terms of advancing science and in terms of providing useful information for decision makers.<br/
Estimating the Benefits of Agri-environmental Policy: Econometric Issues in Open-ended Contingent Valuation Studies
This paper reports on an open-ended Contingent Valuation Method study of the conservation benefits of Environmentally Sensitive Areas (ESAs) in Scotland. The ESA scheme is a central component of agri-environmental policy in the UK, and an interesting policy question concerns the extent of non-market benefits generated by such ESAs. The econometric issues we raise in this paper revolve around bid curves. Bid curves are estimated in open-ended Contingent Valuation Method (CVM) studies for three reasons. These are: (1) as a test of theoretical validity; (2) as a test of discriminant validity; and (3) as a means of benefits transfer. Within the first and last of these aims, the partial relationship between willingness to pay (WTP) and independent variables such as income is of interest. There are several econometric issues involved in estimating such relationships, First, the selection process implicit in obtaining positive WTP bids should be explicitly modelled. Second, many CVM surveys suffer from item non-response with respect to 'sensitive' questions such as the respondent's income; these non-responses may be non-random in nature. Finally, it is possible to dis-aggregate the effect of marginal changes in, say, income on WTP into two elements, namely: an effect on the probability that the individual will be willing to pay something; and secondly, an effect on how much they are willing to pay.
On the functional relationship between biodiversity and economic value
Biodiversity’s contribution to human welfare has become a key argument for maintaining and enhancing biodiversity in managed ecosystems. The functional relationship between biodiversity (b) and economic value (V) is, however, insufficiently understood, despite the premise of a positive-concave bV relationship that dominates scientific and political arenas. Here, we review how individual links between biodiversity, ecosystem functions (F), and services affect resulting bV relationships. Our findings show that bV relationships are more variable, also taking negative-concave/convex or strictly concave and convex forms. This functional form is driven not only by the underlying bF relationship but also by the number and type of ecosystem services and their potential trade-offs considered, the effects of inputs, and the type of utility function used to represent human preferences. Explicitly accounting for these aspects will enhance the substance and coverage of future valuation studies and allow more nuanced conclusions, particularly for managed ecosystems
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Farming and the Countryside: An Economic Analysis of External Costs and Benefits
No abstract available
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