1,721,071 research outputs found
Effetti antalgici e miorilassanti cranio-mandibolari da stimolazione combinata oculo-acustica. Valutazione clinico-statistica
No full textThe productivity and environment nexus through farm-level data. The case of carbon footprint applied to Italian FADN farms
No full textThe most fundamental challenge faced by European agriculture in the early 21st century is
how to increase production in order to respond to the significant growth in global food demand
while preserving natural resources and the environment. Thus, the productivity and environment
nexus of farms is particularly relevant, also in a policy perspective.
The central empirical question addressed by this paper is to assess whether, and by how
much, productivity and environmental performance affect each other in the presence of farm
heterogeneity. To examine these implications empirically, we have assembled a uniquely detailed
dataset of Lombardy FADN farms observed over the period from 2008 to 2013 that merges FADN
information on farm structure and economic performance, a productivity index and an
environmental indicator, both properly reconstructed at farm level.
We firstly calculate a farm-level total factor productivity index and then estimate a farmlevel
greenhouse gases (GHG) emissions intensity indicator. The use of micro data to obtain farmspecific
parameters is one of the novelty of the approach that can allow better capturing the actual
heterogeneity of farms in production and environmental efficiency. We then investigate the nexus
of this productivity index with emission intensity on a farm-by-farm basis.
Results are not only informative on the nexus between TFP and GHG emissions, but could
be also used to gain insights in the direction of obtaining a unique indicator of the joint economic
and environmental performances of farms: i.e. an Environmentally-Adjusted TFP
Immigrant workforce and agriculture productivity: evidence from Italian farm-level data
No full textThis paper investigates the farm-level relationship between total factor productivity (TFP) and presence and composition of immigrant workers. A theoretical model expressing how immigrant workforce influences productivity is developed and an explicit and consistent representation of the so-called ‘diversity hypothesis’ is derived. A dynamic panel specification is estimated, and the respective econometric issues are discussed. The analysis is applied to a balanced panel of Italian professional farms extracted from the Farm Accountancy Data Network over the period 2008–2015. The use of micro-level data in such assessment allows to take the wide heterogeneity across farms into account. Results suggest that, when productivity dynamics and farm heterogeneity are accounted for, empirical support to the diversity hypothesis can be found in Italian professional agriculture
Immigrant workforce and labour productivity in Italian agriculture: A farm-level analysis
No full textThe objective of this paper is to detect stylized facts and put forward testable hypotheses on the presence and role of immigrant workforce in Italian agriculture. This research focuses on professional agriculture as represented by the Italian FADN over the period 2008-2015. Descriptive statistics show that immigrants are an important component of the workforce employed in professional agriculture over this period, even with wide disparities between regions, sectors and classes of economic size. Immigrants are concentrated in larger and more productive farms and their presence is positively correlated with farm’s labour productivity (LP). To understand whether they are more productive, or they are just occupied by more productive farms, the relationship between LP and their contribution to agricultural production, in terms of Annual Working Units (AWU), is modelled at the farm level, by assuming alternative model specifications. Results emphasize that, in many cases, statistically significant relationships between the contribution of immigrants and farm-level LP can result from model misspecifications. Accounting for farms’ heterogeneity can greatly influence the dimension of this link. Moreover, when assuming persistence of LP with a dynamic specification, this relationship disappears
Editorial: Gene regulatory networks involved in the molecular response to drought, salt and osmotic stresses in crops
Full text linkThe productivity and environment nexus with farm-level data. The case of carbon footprint in lombardy fadn farms
No full textThis paper aims to assess whether and to what extent environmental and productivity affect each other within heterogeneous farms. The analysis concerns the sample of FADN Lombardy farms observed from 2008 to 2013. Using the FADN information on production structures and activities, a productivity index (Total Factor Productivity - TFP) and an environmental indicator (Emission Intensity - EI) are properly reconstructed at the farm level. The nexus between TFP and EI is then investigated by admitting heterogenous behaviour across farm sizes and specializations. Results show that the relationship between TFP and EI is not univocal and suggest that the mitigation of GHG emission can be based on the diffusion of the best practices adopted by high-productivity farms of different size and specialization
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
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