711 resultados para Labor market--South Carolina--Upper South Carolina Region--Statistics
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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“The socio-cultural impact of the introduction of motorbike taxis in the rural community of Tombel, South West region, Cameroon” seeks to bring out the impact of commercial motorbike taxis on the lifestyle of the Bakossi. The principal objective of this research is to show how the introduction of motorbike taxis has modified the lifestyle of the Tombel population. This anthropological research defines the profile of a motorbike taxi rider, his role in society, the perception of the population towards this activity and the impact of this activity on the lifestyle of the rural population of Tombel. This study reveals that motorbike taxi riders are essentially made up of youths from all works of life who earn a living by riding a motorbike taxi on a daily bases for commercial purposes. The revenue earn here goes a long way to sustain the livelihood of the rider and his entourage, becoming an ascension tool into the social ladder. The activity is very dangerous not only for the riders buts also for the passengers because of the risks involved in riding for most of the riders do not have the basic knowledge of the road code. This research also reveals that motorbike taxi has become the preferred means of public transport of most inhabitants of Tombel to the point of monopolising certain destinations. The population of Tombel perceives this activity as an instrument of change that has brought development and progress. But this activity also constitutes a social ill because of the prevalent sexual promiscuity encouraged by the riders. This activity has also gotten a cultural impact on the society, changing perceptions and being involve in rituals. Motorbike taxis have become a force to reckon with in the organisation of the community. They are a “response from below” to the transport crises in Cameroon.
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This MEDPRO Technical Report confirms the importance of commercial openness and macroeconomic performance (i.e. the control of inflation and stability of current account balance and exchange rate) on growth dynamics in the south Mediterranean countries. In particular, the positive impact of capital account liberalisation is conditioned by the imperative reinforcement of institutional quality, country risk reduction, and government stability. An examination of the Tunisian case shows that only sectors subject to tariff dismantlement within the framework of the Association Agreement with the EU appear to benefit from capital account liberalisation. Furthermore, the report shows that a scenario of capital account liberalisation requires the anticipation of monetary policy reaction functions. It follows that the mechanisms for interest rate adjustment, or inter alia, the interest rates’ reaction to price fluctuations, are weakly volatile. In turn, the analysis shows that an active control of inflation mismatches occurs essentially through exchange rate corrections, thus highlighting the greater interest central banks have in exchange rate stability over real stability. A capital account liberalisation scenario would hence impose a tightening of monetary policy.
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This qualitative study addresses attitudes concerning employing individuals with developmental disabilities (DD) and identifies factors limiting their integration into the workplace. Four themes emerged: lack of infrastructure, awareness, family support, and the need for ongoing training and development. A proposed model of integrating individuals with DD in the workplace is discussed.
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The Region comprises three sub-regions (FAO Statistical Areas) with very different characteristics. The South Pacific includes the vast and virtually unpopulated Southern Ocean surrounding the Antarctic. It has the world’s largest fisheries off Peru and Chile and some of the world’s best managed fisheries in Australia and New Zealand. The Region has over 27% of the world’s ocean area and over 98% of the Region’s total area of 91 million km2 is ‘open ocean’. The Region contains less than 5% of the global continental shelf area and only a fraction of this area is covered by three large marine ecosystems (the New Zealand Shelf, the Humboldt Current and the Antarctic large marine ecosystems (LMEs). The Humboldt Current System (HCS) is the world’s largest upwelling which provides nutrients for the world’s largest fisheries. The Region also has a high number of seamounts. The marine capture fisheries of the Region produce over 13 million tons annually and an expanding aquaculture industry produces over 1.5 million tons. Peru’s anchoveta fishery provides about half the world’s supply of fish meal and oil, key ingredients of animal and fish feeds. El Niño Southern Oscillations (ENSOs), known more generally as El Niños, can substantially change the species composition of the key small pelagic catches (anchovy, sardine, horse mackerel and jack mackerel) causing production to fluctuate from about 4-8 million tons. Partly due to the lack of upwelling and shelf areas, fisheries production in the Southern Ocean and Area 81 is relatively small but supports economically important commercial and recreational fisheries and aquaculture in New Zealand and in New South Wales (Australia). Krill remains a major underexploited resource, but is also a keystone species in the Antarctic food web. The Region is home to numerous endangered species of whales, seals and seabirds and has a high number of seamounts, vulnerable ecosystems fished for high-value species such as orange roughy.
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The Region comprises three sub-regions (FAO Statistical Areas) with very different characteristics. The South Pacific includes the vast and virtually unpopulated Southern Ocean surrounding the Antarctic. It has the world’s largest fisheries off Peru and Chile and some of the world’s best managed fisheries in Australia and New Zealand. The Region has over 27% of the world’s ocean area and over 98% of the Region’s total area of 91 million km2 is ‘open ocean’. The Region contains less than 5% of the global continental shelf area and only a fraction of this area is covered by three large marine ecosystems (the New Zealand Shelf, the Humboldt Current and the Antarctic large marine ecosystems (LMEs). The Humboldt Current System (HCS) is the world’s largest upwelling which provides nutrients for the world’s largest fisheries. The Region also has a high number of seamounts. The marine capture fisheries of the Region produce over 13 million tons annually and an expanding aquaculture industry produces over 1.5 million tons. Peru’s anchoveta fishery provides about half the world’s supply of fish meal and oil, key ingredients of animal and fish feeds. El Niño Southern Oscillations (ENSOs), known more generally as El Niños, can substantially change the species composition of the key small pelagic catches (anchovy, sardine, horse mackerel and jack mackerel) causing production to fluctuate from about 4-8 million tons. Partly due to the lack of upwelling and shelf areas, fisheries production in the Southern Ocean and Area 81 is relatively small but supports economically important commercial and recreational fisheries and aquaculture in New Zealand and in New South Wales (Australia). Krill remains a major underexploited resource, but is also a keystone species in the Antarctic food web. The Region is home to numerous endangered species of whales, seals and seabirds and has a high number of seamounts, vulnerable ecosystems fished for high-value species such as orange roughy.
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Regionale Arbeitsmärkte unterscheiden sich erheblich hinsichtlich wesentlicher Kennzahlen wie der Arbeitslosenquote, des Lohnniveaus oder der Beschäftigungsentwicklung. Wegen ihrer Persistenz sind diese Unterschiede von hoher Relevanz für die Politik. Die wirtschaftswissenschaftliche Literatur liefert bereits theoretische Modelle für die Analyse regionaler Arbeitsmärkte. In der Regel sind diese Modelle aber nicht dazu geeignet, regionale Arbeitsmarktunterschiede endogen zu erklären. Das bedeutet, dass sich die Unterschiede regionaler Arbeitsmärkte in der Regel nicht aus den Modellzusammenhängen selbst ergeben, sondern „von außen“ eingebracht werden müssen. Die empirische Literatur liefert Hinweise, dass die Unterschiede zwischen regionalen Arbeitsmärkten auf die Höhe der regionalen Arbeitsnachfrage zurückzuführen sind. Die Arbeitsnachfrage wiederum leitet sich aus den Gütermärkten ab: Es hängt von der Entwicklung der regionalen Gütermärkte ab, wie viele Arbeitskräfte benötigt werden. Daraus folgt, dass die Ursachen für Unterschiede regionaler Arbeitsmärkte in den Unterschieden zwischen den regionalen Gütermärkten zu suchen sind. Letztere werden durch die Literatur zur Neuen Ökonomischen Geographie (NÖG) untersucht. Die Literatur zur NÖG erklärt Unterschiede regionaler Gütermärkte, indem sie zentripetale und zentrifugale Kräfte gegenüberstellt. Zentripetale Kräfte sind solche, welche hin zur Agglomeration ökonomischer Aktivität wirken. Im Zentrum dieser Diskussion steht vor allem das Marktpotenzial: Unternehmen siedeln sich bevorzugt an solchen Standorten an, welche nahe an großen Märkten liegen. Erwerbspersonen wiederum bevorzugen solche Regionen, welche ihnen entsprechende Erwerbsaussichten bieten. Beides zusammen bildet einen sich selbst verstärkenden Prozess, der zur Agglomeration ökonomischer Aktivität führt. Dem stehen jedoch zentrifugale Kräfte gegenüber, welche eine gleichmäßigere Verteilung ökonomischer Aktivität bewirken. Diese entstehen beispielsweise durch immobile Produktionsfaktoren oder Ballungskosten wie etwa Umweltverschmutzung, Staus oder hohe Mietpreise. Sind die zentripetalen Kräfte hinreichend stark, so bilden sich Zentren heraus, in denen sich die ökonomische Aktivität konzentriert, während die Peripherie ausdünnt. In welchem Ausmaß dies geschieht, hängt von dem Verhältnis beider Kräfte ab. Üblicherweise konzentriert sich die Literatur zur NÖG auf Unterschiede zwischen regionalen Gütermärkten und geht von der Annahme perfekter Arbeitsmärkte ohne Arbeitslosigkeit aus. Die Entstehung und Persistenz regionaler Arbeitsmarktunterschiede kann die NÖG daher üblicherweise nicht erklären. An dieser Stelle setzt die Dissertation an. Sie erweitert die NÖG um Friktionen auf dem Arbeitsmarkt, um die Entstehung und Persistenz regionaler Arbeitsmarktunterschiede zu erklären. Sie greift dazu auf eine empirische Regelmäßigkeit zurück: Zahlreiche Studien belegen einen negativen Zusammenhang zwischen Lohn und Arbeitslosigkeit. In Regionen, in denen die Arbeitslosigkeit hoch ist, ist das Lohnniveau gering und umgekehrt. Dieser Zusammenhang wird als Lohnkurve bezeichnet. Auf regionaler Ebene lässt sich die Lohnkurve mithilfe der Effizienzlohntheorie erklären, die als theoretische Grundlage in der Dissertation Anwendung findet. Konzentriert sich nun die ökonomische Aktivität aufgrund der zentripetalen Kräfte in einer Region, so ist in diesem Zentrum die Arbeitsnachfrage höher. Damit befindet sich das Zentrum auf einer günstigen Position der Lohnkurve mit geringer Arbeitslosigkeit und hohem Lohnniveau. Umgekehrt findet sich die Peripherie auf einer ungünstigen Position mit hoher Arbeitslosigkeit und geringem Lohnniveau wieder. Allerdings kann sich die Lohnkurve in Abhängigkeit des Agglomerationsgrades verschieben. Das komplexe Zusammenspiel der endogenen Agglomeration mit den Arbeitsmarktfriktionen kann dann unterschiedliche Muster regionaler Arbeitsmarktdisparitäten hervorrufen. Die Dissertation zeigt auf, wie im Zusammenspiel der NÖG mit Effizienzlöhnen regionale Arbeitsmarktdisparitäten hervorgerufen werden. Es werden theoretische Modelle formuliert, die diese Interaktionen erklären und welche die bestehende Literatur durch spezifische Beiträge erweitern. Darüber hinaus werden die zentralen Argumente der Theorie einem empirischen Test unterworfen. Es kann gezeigt werden, dass das zentrale Argument – der positive Effekt des Marktpotentials auf die Arbeitsnachfrage – relevant ist. Außerdem werden Politikimplikationen abgeleitet und der weitere Forschungsbedarf aufgezeigt.
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The objective of this study was to estimate the spatial distribution of work accident risk in the informal work market in the urban zone of an industrialized city in southeast Brazil and to examine concomitant effects of age, gender, and type of occupation after controlling for spatial risk variation. The basic methodology adopted was that of a population-based case-control study with particular interest focused on the spatial location of work. Cases were all casual workers in the city suffering work accidents during a one-year period; controls were selected from the source population of casual laborers by systematic random sampling of urban homes. The spatial distribution of work accidents was estimated via a semiparametric generalized additive model with a nonparametric bidimensional spline of the geographical coordinates of cases and controls as the nonlinear spatial component, and including age, gender, and occupation as linear predictive variables in the parametric component. We analyzed 1,918 cases and 2,245 controls between 1/11/2003 and 31/10/2004 in Piracicaba, Brazil. Areas of significantly high and low accident risk were identified in relation to mean risk in the study region (p < 0.01). Work accident risk for informal workers varied significantly in the study area. Significant age, gender, and occupational group effects on accident risk were identified after correcting for this spatial variation. A good understanding of high-risk groups and high-risk regions underpins the formulation of hypotheses concerning accident causality and the development of effective public accident prevention policies.
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This dissertation consists of three separate essays on job search and labor market dynamics. In the first essay, “The Impact of Labor Market Conditions on Job Creation: Evidence from Firm Level Data”, I study how much changes in labor market conditions reduce employment fluctuations over the business cycle. Changes in labor market conditions make hiring more expensive during expansions and cheaper during recessions, creating counter-cyclical incentives for job creation. I estimate firm level elasticities of labor demand with respect to changes in labor market conditions, considering two margins: changes in labor market tightness and changes in wages. Using employer-employee matched data from Brazil, I find that all firms are more sensitive to changes in wages rather than labor market tightness, and there is substantial heterogeneity in labor demand elasticity across regions. Based on these results, I demonstrate that changes in labor market conditions reduce the variance of employment growth over the business cycle by 20% in a median region, and this effect is equally driven by changes along each margin. Moreover, I show that the magnitude of the effect of labor market conditions on employment growth can be significantly affected by economic policy. In particular, I document that the rapid growth of the national minimum wages in Brazil in 1997-2010 amplified the impact of the change in labor market conditions during local expansions and diminished this impact during local recessions.
In the second essay, “A Framework for Estimating Persistence of Local Labor
Demand Shocks”, I propose a decomposition which allows me to study the persistence of local labor demand shocks. Persistence of labor demand shocks varies across industries, and the incidence of shocks in a region depends on the regional industrial composition. As a result, less diverse regions are more likely to experience deeper shocks, but not necessarily more long lasting shocks. Building on this idea, I propose a decomposition of local labor demand shocks into idiosyncratic location shocks and nationwide industry shocks and estimate the variance and the persistence of these shocks using the Quarterly Census of Employment and Wages (QCEW) in 1990-2013.
In the third essay, “Conditional Choice Probability Estimation of Continuous- Time Job Search Models”, co-authored with Peter Arcidiacono and Arnaud Maurel, we propose a novel, computationally feasible method of estimating non-stationary job search models. Non-stationary job search models arise in many applications, where policy change can be anticipated by the workers. The most prominent example of such policy is the expiration of unemployment benefits. However, estimating these models still poses a considerable computational challenge, because of the need to solve a differential equation numerically at each step of the optimization routine. We overcome this challenge by adopting conditional choice probability methods, widely used in dynamic discrete choice literature, to job search models and show how the hazard rate out of unemployment and the distribution of the accepted wages, which can be estimated in many datasets, can be used to infer the value of unemployment. We demonstrate how to apply our method by analyzing the effect of the unemployment benefit expiration on duration of unemployment using the data from the Survey of Income and Program Participation (SIPP) in 1996-2007.
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The objective of this study was to estimate the spatial distribution of work accident risk in the informal work market in the urban zone of an industrialized city in southeast Brazil and to examine concomitant effects of age, gender, and type of occupation after controlling for spatial risk variation. The basic methodology adopted was that of a population-based case-control study with particular interest focused on the spatial location of work. Cases were all casual workers in the city suffering work accidents during a one-year period; controls were selected from the source population of casual laborers by systematic random sampling of urban homes. The spatial distribution of work accidents was estimated via a semiparametric generalized additive model with a nonparametric bidimensional spline of the geographical coordinates of cases and controls as the nonlinear spatial component, and including age, gender, and occupation as linear predictive variables in the parametric component. We analyzed 1,918 cases and 2,245 controls between 1/11/2003 and 31/10/2004 in Piracicaba, Brazil. Areas of significantly high and low accident risk were identified in relation to mean risk in the study region (p < 0.01). Work accident risk for informal workers varied significantly in the study area. Significant age, gender, and occupational group effects on accident risk were identified after correcting for this spatial variation. A good understanding of high-risk groups and high-risk regions underpins the formulation of hypotheses concerning accident causality and the development of effective public accident prevention policies.