983 resultados para Border Industrial Complex
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v.73:no.2(1979)
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n.s. no.62(1990)
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We describe the mating behavior of Adelosgryllus rubricephalus Mesa & Zefa, 2004. In trials carried out in laboratory we verified the following mating sequence: (1) sexual recognition by antennation; (2) courtship with male turning his abdomen towards the female, performing mediolateral antennae vibration, jerking its body antero-posteriorly and stridulating intermittently, while receptive female drums on the male's abdomen tip, cerci and hind-tibia with her palpi or foretarsi; the male then stops and stays motionless for some seconds, extrudes the spermatophore and both restart the behavioral sequence described above; (3) copulation: male underneath female; with his tegmina inclined forward, and joins his genitalia to the female's to promote sperm transference ; the female steps off the male, occurring a brief end-to-end position; (4) postcopulation: without guarding behavior; male retains the spermatophore and eats it. We quantified elapsed time of each behavioral sequence and discussed its implications in the observed mating behavior.
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n.s. no.74(1993)
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The condition factor is a parameter which acts as a general indicator of the "well-being" of a species, and it can be obtained through the analysis of width vs. weight relationships. The present work aims to investigate size vs. weight relationship and the condition factor of the crab Goniopsis cruentata (Latreille, 1803). The study area was the Mundaú/Manguaba estuarine complex, Maceió, state of Alagoas, Northeast Brazil. Samplings were monthly accomplished from August 2007 to July 2008. A total of 626 individuals were analyzed, being 309 males and 317 females. Males were larger and heavier than females, what is expected in many brachyuran. The growth was positive allometric to both males (b = 3.42) and females (b = 3.30), not obeying the "cube law". The condition factor of female was higher than that of male crabs, probably due to the gonad weight of females. It also varied seasonally for both sexes, being higher in the autumn and winter in males, and in the autumn and spring in females, and related to the molt and period of spawning intensification.
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Production of desirable outputs is often accompanied by undesirable by products that have damaging effects on the environment, and whose disposal is frequently regulated by public authorities. In this paper, we compute directional technology distance functions under particular assumptions concerning disposability of bads in order to test for the existence of what we call ‘complex situations’, where the biggest producer is not the greatest polluter. Furthermore, we show that how in such situations, environmental regulation could achieve an effective reduction in the aggregate level of bad outputs without reducing the production of good outputs. Finally, we illustrate our methodology with an empirical application to a sample of Spanish tile ceramic producers.
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An analysis is carried out in a sample of 738 industrial plants of the determining factors in the use of internal promotion of blue-collar workers to middle managers and skilled technicians as against their external recruitment. The use of internal promotion is positively correlated with variables indicative of the efforts made by plants to measure employees' skills, and to a lesser extent, with the level of specificity of investments in human capital made by blue-collar workers. Contrary to what was expected, variables related with the use and efficiency of other incentive systems have no significant influence on the increased or decreased use of internal promotion. These results are initial evidence that internal promotions are used to protect and favour specific investments, especially those made by firms in order to discover their workers' skills.
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Economies are open complex adaptive systems far from thermodynamic equilibrium, and neo-classical environmental economics seems not to be the best way to describe the behaviour of such systems. Standard econometric analysis (i.e. time series) takes a deterministic and predictive approach, which encourages the search for predictive policy to ‘correct’ environmental problems. Rather, it seems that, because of the characteristics of economic systems, an ex-post analysis is more appropriate, which describes the emergence of such systems’ properties, and which sees policy as a social steering mechanism. With this background, some of the recent empirical work published in the field of ecological economics that follows the approach defended here is presented. Finally, the conclusion is reached that a predictive use of econometrics (i.e. time series analysis) in ecological economics should be limited to cases in which uncertainty decreases, which is not the normal situation when analysing the evolution of economic systems. However, that does not mean we should not use empirical analysis. On the contrary, this is to be encouraged, but from a structural and ex-post point of view.
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El análisis del crecimiento económico moderno debe partir, en cada caso, del escenario natural en el que los procesos históricos tienen lugar. Los datos de naturaleza geográfica son muy importantes en orden al condicionamiento de las actividades de los hombres y de las sociedades. En el caso español, las constricciones del ecosistema han jugado seguramente, un rol muy destacado. La presencia desmesuradamente grande del Estado en la actividad económica y la persistencia de un déficit crónico en la balanza comercial son hechos que han caracterizado a la economía española desde fechas muy antiguas. Las páginas que siguen, no obstante, se orientan en otra dirección y presentan algunos datos especialmente relevantes relativos al secular atraso tecnológico, a la muy baja acción en Investigación y Desarrollo (I+D) tradicionalmente efectuada por los agentes económicos en España y a la preocupante debilidad de las empresas en este terreno.
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This paper assesses empirically the importance of size discrimination and disaggregate data for deciding where to locate a start-up concern. We compare three econometric specifications using Catalan data: a multinomial logit with 4 and 41 alternatives (provinces and comarques, respectively) in which firm size is the main covariate; a conditional logit with 4 and 41 alternatives including attributes of the sites as well as size-site interactions; and a Poisson model on the comarques and the full spatial choice set (942 municipalities) with site-specific variables. Our results suggest that if these two issues are ignored, conclusions may be misleading. We provide evidence that large and small firms behave differently and conclude that Catalan firms tend to choose between comarques rather than between municipalities. Moreover, labour-intensive firms seem more likely to be located in the city of Barcelona. Keywords: Catalonia, industrial location, multinomial response model. JEL: C250, E30, R00, R12
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Inductive learning aims at finding general rules that hold true in a database. Targeted learning seeks rules for the predictions of the value of a variable based on the values of others, as in the case of linear or non-parametric regression analysis. Non-targeted learning finds regularities without a specific prediction goal. We model the product of non-targeted learning as rules that state that a certain phenomenon never happens, or that certain conditions necessitate another. For all types of rules, there is a trade-off between the rule's accuracy and its simplicity. Thus rule selection can be viewed as a choice problem, among pairs of degree of accuracy and degree of complexity. However, one cannot in general tell what is the feasible set in the accuracy-complexity space. Formally, we show that finding out whether a point belongs to this set is computationally hard. In particular, in the context of linear regression, finding a small set of variables that obtain a certain value of R2 is computationally hard. Computational complexity may explain why a person is not always aware of rules that, if asked, she would find valid. This, in turn, may explain why one can change other people's minds (opinions, beliefs) without providing new information.
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El objetivo de este estudio es analizar las decisiones de localización de las actividades industriales desde una óptica sectorial. En concreto, se explica la distribución municipal en Catalunya del número de nuevas inversiones procedentes del Registro de Establecimientos Industriales, durante el período 1986-2000. Los determinantes de la localización industrial se han agrupado en tres categorías: condiciones de oferta de factores, economías de aglomeración y accesibilidad. El análisis se lleva a cabo utilizando un modelo de eventos discretos con datos de panel. Los resultados obtenidos muestran que los tres conjuntos de variables introducidas son relevantes en la explicación de la localización de las empresas manufactureras y que actúan en diferente grado para los diferentes sectores.
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"Vegeu el resum a l'inici del document del fitxer adjunt."
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El propòsit d'aquest treball és analitzar fins a quin punt la millora en l'accessibilitat dels municipis a la xarxa viària d'alta capacitat ha tingut efectes positius en la creació d'establiments industrials. En concret, estudiem les decisions de localització d'establiments industrials a escala local per a 19 sectors manufacturers amb una desagregació de 2 dígits. Aquest treball incorpora variables de gran rellevància (com ara una mesura d'accessibilitat mesurada en temps de desplaçament i els efectes de les inversions viàries) i utilitza tècniques d'anàlisi espacial. Pel que fa a les entrades d'establiments industrials, les dades han estat obtingudes del Registre d'Establiments Industrials de Catalunya (REIC). Els resultats mostren una incidència positiva de les millores en la xarxa viària sobre les decisions de localització de les empreses.
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This paper contributes to the existing literature on industrial location by discussing some issues regarding the territorial levels that have been used in location analysis. We analyse which could be the advantages and disadvantages of performing locational analysis at a different local levels. We use data for new manufacturing firms located at municipality, county and travel to work areas level. We show that location determinants vary according to the territorial level used in the analysis, so we conclude that the level at which we perform the investigation should be carefully selected. Keywords: industrial location, cities, agglomeration economies, count data models.