930 resultados para Empirical-analysis
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In the long term, productivity and especially productivity growth are necessary conditions for the survival of a farm. This paper focuses on the technology choice of a dairy farm, i.e. the choice between a conventional and an automatic milking system. Its aim is to reveal the extent to which economic rationality explains investing in new technology. The adoption of robotics is further linked to farm productivity to show how capital-intensive technology has affected the overall productivity of milk production. The empirical analysis applies a probit model and an extended Cobb-Douglas-type production function to a Finnish farm-level dataset for the years 2000–10. The results show that very few economic factors on a dairy farm or in its economic environment can be identified to affect the switch to automatic milking. Existing machinery capital and investment allowances are among the significant factors. The results also indicate that the probability of investing in robotics responds elastically to a change in investment aids: an increase of 1% in aid would generate an increase of 2% in the probability of investing. Despite the presence of non-economic incentives, the switch to robotic milking is proven to promote productivity development on dairy farms. No productivity growth is observed on farms that keep conventional milking systems, whereas farms with robotic milking have a growth rate of 8.1% per year. The mean rate for farms that switch to robotic milking is 7.0% per year. The results show great progress in productivity growth, with the average of the sector at around 2% per year during the past two decades. In conclusion, investments in new technology as well as investment aids to boost investments are needed in low-productivity areas where investments in new technology still have great potential to increase productivity, and thus profitability and competitiveness, in the long run.
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Microsimulation models have been used in order to find efficient counteractive instruments to poverty. The objective of this paper is to analyse the impact of fiscal policy on poverty, insisting on child poverty rates. Empirical analysis suggests that in fighting poverty, a mix of policies need to be in place, fiscal reforms increasing tax allowances such as child benefit granted to parents with dependent children, are not sufficient to reduce child poverty.
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This paper theorizes about the convergence of international organizations in global health governance, a field of international cooperation that is commonly portrayed as particularly hit by institutional fragmentation. Unlike existing theories on interorganizationalism that have mainly looked to intra- and extraorganizational factors in order to explain why international organizations cooperate with each other in the first place, the paper is interested in the link between causes and systemic effects of interorganizational convergence. The paper begins by defining interorganizational convergence. It then proceeds to discuss why conventional theories on interorganizational- ism fail to explain the aggregate effects of convergence between IOs in global (health) governance which tend to worsen rather than cushion fragmentation — so-called "hypercollective action" (Severino & Ray 2010). In order to remedy this explanatory blind-spot the paper formulates an alternative sociological institutionalist theory on interorganizational convergence that makes two core theoretical propositions: first that emerging norms of metagovernance are a powerful driver behind interorganizational convergence in global health governance, and secondly that IOs are engaged in a fierce meaning-struggle over these norms which results in hypercollective action. In its empirical part, the paper’s core theoretical propositions are corroborated by analyzing discourses and practices of interorganizational convergence in global health. The empirical analysis allows drawing two far-reaching conclusions. On the one hand, interorganizational harmonization has emerged as a largely undisputed norm in global health which has been translated into ever more institutionalized forms of interorganizational cooperation. On the other, discourses and practices of interorganizational harmonization exhibit conflicts over the ordering principles according to which the policies and actions of international organizations with overlapping mandates and missions should be harmonized. In combination, these two empirical findings explain why interorganizational convergence has so far failed to strengthen the global health architecture.
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Los territorios rurales de América Latina, y de la Argentina en particular, han sufrido cambios profundos en las últimas décadas producto de transformaciones en materia productiva, demográfica y social. Los cambios son complejos y han dado lugar a una multiplicidad de miradas y de enfoques sobre la nueva realidad. Frente a esta creciente complejidad, se plantea la construcción de un modelo interpretativo de la realidad rural de la Argentina que bien puede contribuir también para abordar las realidades de otros mundos rurales latinoamericanos. El modelo conceptual que se ofrece se construyó a partir del análisis empírico de numerosos casos de territorios rurales de la Argentina. Dicho modelo permite comprender los complejos procesos de organización y la dinámica rural, además de constituirse en una herramienta de prognosis para la definición de políticas públicas acordes que alienten nuevas dinámicas de desarrollo rural en la Argentina
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Defining deindustrialization as a situation of falling share of manufacturing employment and value added in total employment and GDP, respectively, and a rising specialization in primary goods, this paper provides an empirical analysis of the recent (and in some cases historical) path of four Latin American countries (Argentina, Brazil, Chile and Mexico), contributing to the debate on the matter of premature deindustrialization. We argue that Argentina, Brazil and Chile face premature deindustrialization, increasing their specialization in commodities, resource-based manufactures and low productivity services, while Mexico urges a deeper analyze of its structure.
Resumo:
Los territorios rurales de América Latina, y de la Argentina en particular, han sufrido cambios profundos en las últimas décadas producto de transformaciones en materia productiva, demográfica y social. Los cambios son complejos y han dado lugar a una multiplicidad de miradas y de enfoques sobre la nueva realidad. Frente a esta creciente complejidad, se plantea la construcción de un modelo interpretativo de la realidad rural de la Argentina que bien puede contribuir también para abordar las realidades de otros mundos rurales latinoamericanos. El modelo conceptual que se ofrece se construyó a partir del análisis empírico de numerosos casos de territorios rurales de la Argentina. Dicho modelo permite comprender los complejos procesos de organización y la dinámica rural, además de constituirse en una herramienta de prognosis para la definición de políticas públicas acordes que alienten nuevas dinámicas de desarrollo rural en la Argentina
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Thesis (Ph.D.)--University of Washington, 2016-06
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This article examines the market valuation of announcements of new capital expenditure. Prior research suggests that the firm's growth opportunities and cash flow position condition the market response. This study jointly examines the role of growth and cash flow, and the interaction between them. Using a new data set of Australian firms that avoids problems associated with expectations models, the results are remarkably strong and support a positive association between growth opportunities and the market valuation, in addition to supporting the role of free cash flow. The findings have implications for the relationship between general investment information and stock prices.
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The role of the board of directors in firm strategy has long been the subject of debate. However, research efforts have suffered from several deficiencies: the lack of an overarching theoretical perspective, reliance on proxies for the strategy role rather than a direct measure of it and the lack of quantitative data linking this role to firm financial performance. We propose a new theoretical perspective to explain the board's role in strategy, integrating organisational control and agency theories. We categorise a board's approach to strategy according to two constructs: strategic control and financial control. The extent to which either construct is favoured depends on contextual factors such as board power, environmental uncertainty and information asymmetry.
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This paper focuses on measuring the extent to which market power has been exercised in a recently deregulated electricity generation sector. Our study emphasises the need to consider the concept of market power in a long-run dynamic context. A market power index is constructed focusing on differences between actual market returns and long-run competitive returns, estimated using a programming model devised by the authors. The market power implications of hedge contracts are briefly considered. The state of Queensland Australia is used as a context for the analysis. The results suggest that generators have exercised significant market power since deregulation.
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A manager's perception of industry structure (dynamism) has the potential to impact various organizational strategies and behaviors. This may be particularly so with regard to perceptions driving organizational learning orientations and innovation based marketing strategy. The position taken here suggests that firms operating within a competitive industry tend to pursue innovative ways of performing value-creating activities, which requires the development of learning capabilities. The results of a study of SMEs suggest that market focused learning, relative to other learning capabilities plays a key role in the relationships between industry structure, innovation and brand performance. The findings also show that market focused learning and internally focused learning influence innovation and that innovation influences a brand's performance. (c) 2005 Elsevier Inc. All rights reserved.
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Essa pesquisa investiga empiricamente o desempenho das empresas do Grande ABC, região industrializada e cada vez mais representativa economicamente para o país. As sete cidades que representam a região, Santo André, São Bernardo do Campo, São Caetano do Sul, Diadema, Mauá, Ribeirão Pires e Rio Grande da Serra, tiverem nos últimos anos um crescimento econômico consideravelmente acima do crescimento do país e seu desenvolvimento tem impulsionado o crescimento do país. A análise empírica utiliza dados em painel e investiga o desempenho das firmas das sete cidades que compõe o Grande ABC durante os anos de 2001 a 2008 utilizando a metodologia multinível e três medidas de desempenho: ROA, OROA e ROE. A metodologia multinível possibilitou a identificação dos principais efeitos que estão associados ou não ao desempenho das empresas, entre esses efeitos estão o ano, a própria empresa, o subsetor, o setor e a cidade que a empresa se localiza. Entre as três medidas de desempenho utilizadas houve significativa convergência e, além disso, o estudo identificou que há um significativo efeito no desempenho das empresas associado ao ano e à própria empresa, além de mostrar que os setores, os subsetores e a cidade que a empresa se localiza não apresentam um efeito significativo associado ao desempenho dessas firmas.
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This paper investigates the simultaneous causal relationship between investments in information and communication technology (ICT) and flows of foreign direct investment (FDI), with reference to its implications on economic growth. For the empirical analysis we use data from 23 major countries with heterogeneous economic development for the period 1976-99. Our causality test results suggest that there is a causal relationship from ICT to FDI in developed countries, which means that a higher level of ICT investment leads to an increase inflow of FDI. ICT may contribute to economic growth indirectly by attracting more FDI. Contrarily, we could not find significant causality from ICT to FDI in developing countries. Instead, we have partial evidence of opposite causality relationship: the inflow of FDI causes further increases in ICT investment and production capacity. © United Nations University 2006.
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This thesis is concerned with approximate inference in dynamical systems, from a variational Bayesian perspective. When modelling real world dynamical systems, stochastic differential equations appear as a natural choice, mainly because of their ability to model the noise of the system by adding a variant of some stochastic process to the deterministic dynamics. Hence, inference in such processes has drawn much attention. Here two new extended frameworks are derived and presented that are based on basis function expansions and local polynomial approximations of a recently proposed variational Bayesian algorithm. It is shown that the new extensions converge to the original variational algorithm and can be used for state estimation (smoothing). However, the main focus is on estimating the (hyper-) parameters of these systems (i.e. drift parameters and diffusion coefficients). The new methods are numerically validated on a range of different systems which vary in dimensionality and non-linearity. These are the Ornstein-Uhlenbeck process, for which the exact likelihood can be computed analytically, the univariate and highly non-linear, stochastic double well and the multivariate chaotic stochastic Lorenz '63 (3-dimensional model). The algorithms are also applied to the 40 dimensional stochastic Lorenz '96 system. In this investigation these new approaches are compared with a variety of other well known methods such as the ensemble Kalman filter / smoother, a hybrid Monte Carlo sampler, the dual unscented Kalman filter (for jointly estimating the systems states and model parameters) and full weak-constraint 4D-Var. Empirical analysis of their asymptotic behaviour as a function of observation density or length of time window increases is provided.
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Our study investigated the impact of ICT expansion on economic freedom in the Middle East (Bahrain, Iran, Jordan, Kuwait, Lebanon, Oman, Qatar, Saudi Arabia, Syria, United Arab Emirates, and Yemen). Our empirical analysis used archival data from 1995 to 2005; it showed that ICT expansion in the Middle East has been effective both in bridging the digital divide and also in promoting economic freedom in a region that was vulnerable to political, social, and global conflict. However, differences between countries, such as the educational attainment of their citizens and institutional resistance to technology acceptance, both enhanced and restricted the relationship between ICT and economic freedom.