803 resultados para non-stationary panel data
Resumo:
Com o crescente aumento da cultura de proteção ambiental, o tema sustentabilidade vem ganhando cada vez mais espaço na vida das pessoas e principalmente na rotina das organizações. Existem algumas correntes teóricas propondo que para existir uma perenidade das organizações, estas devem incorporar em seu plano estratégico, todos os elementos que permitam um equilíbrio nas relações com os stakeholders. Já outras linhas teóricas, defendem que as empresas devem focar todos seus esforços para atender os acionistas (shareholders), maximizando os lucros e agregando valor. Neste contexto, alguns índices de sustentabilidade foram surgindo mundo afora, visando combinar com a já presente visão de resultados financeiros das organizações, também o alcance do bem estar para a sociedade e proteção do meio ambiente. No Brasil, em Novembro de 2005, foi lançando o ISE Índice de Sustentabilidade Empresarial, que foi desenvolvido para uma gama de empresas que apresentam boas práticas de sustentabilidade. Surge, então, o questionamento se a adoção das práticas de sustentabilidade pode de alguma forma, proporcionar melhor desempenho financeiro para as organizações que as adotam, pois de acordo com a teoria dos stakeholders, as instituições que conseguem atender as necessidades das partes interessadas têm seu valor maximizado ao longo do tempo. Com relação a isto, este presente estudo procura averiguar se as empresas que estão listadas no ISE, excluindo as empresas do setor de materiais básicos, utilidade pública, e financeiro, do período de 2006 a 2008, desenvolveram desempenho financeiro superior às outras empresas que não fazem parte do índice no mesmo período. Foram selecionados dados secundários, utilizando a base de dados da Economática, criando dois grupos para comparação, onde um grupo consta de empresas que estão exclusivamente listadas no ISE, consideradas sustentáveis e outro grupo de empresas, formado por empresas listadas no IBOVESPA e que não participaram do ISE. Tomando o Q de Tobin como a variável dependente e índices de Tamanho da Empresa, Distribuição de Dividendos, Debt to Equity, ROA, Crescimento de Vendas, Crescimento dos Investimentos, Diversificação de Mercado, Endividamento como variáveis independentes, foram aplicados testes estatísticos comparando as médias dos índices, seguido do teste t de student, e regressões de dados em painel pooled, fixed e random effects para encontrar a possível correlação entre sustentabilidade e valor da empresa. Os resultados encontrados apontam uma relação entre sustentabilidade empresarial e desempenho financeiro.(AU)
Resumo:
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.
Resumo:
Online model order complexity estimation remains one of the key problems in neural network research. The problem is further exacerbated in situations where the underlying system generator is non-stationary. In this paper, we introduce a novelty criterion for resource allocating networks (RANs) which is capable of being applied to both stationary and slowly varying non-stationary problems. The deficiencies of existing novelty criteria are discussed and the relative performances are demonstrated on two real-world problems : electricity load forecasting and exchange rate prediction.
Resumo:
This Letter addresses image segmentation via a generative model approach. A Bayesian network (BNT) in the space of dyadic wavelet transform coefficients is introduced to model texture images. The model is similar to a Hidden Markov model (HMM), but with non-stationary transitive conditional probability distributions. It is composed of discrete hidden variables and observable Gaussian outputs for wavelet coefficients. In particular, the Gabor wavelet transform is considered. The introduced model is compared with the simplest joint Gaussian probabilistic model for Gabor wavelet coefficients for several textures from the Brodatz album [1]. The comparison is based on cross-validation and includes probabilistic model ensembles instead of single models. In addition, the robustness of the models to cope with additive Gaussian noise is investigated. We further study the feasibility of the introduced generative model for image segmentation in the novelty detection framework [2]. Two examples are considered: (i) sea surface pollution detection from intensity images and (ii) image segmentation of the still images with varying illumination across the scene.
Resumo:
This thesis consists of three empirical and one theoretical studies. While China has received an increasing amount of foreign direct investment (FDI) and become the second largest host country for FDI in recent years, the absence of comprehensive studies on FDI inflows into this country drives this research. In the first study, an econometric model is developed to analyse the economic, political, cultural and geographic determinants of both pledged and realised FDI in China. The results of this study suggest that China's relatively cheaper labour force, high degree of international integration with the outside world (represented by its exports and imports) and bilateral exchange rates are the important economic determinants of both pledged FDI and realised FDI in China. The second study analyses the regional distribution of both pledged and realised FDI within China. The econometric properties of the panel data set are examined using a standardised 't-bar' test. The empirical results indicate that provinces with higher level of international trade, lower wage rates, more R&D manpower, more preferential policies and closer ethnic links with overseas Chinese attract relatively more FDI. The third study constructs a dynamic equilibrium model to study the interactions among FDI, knowledge spillovers and long run economic growth in a developing country. The ideas of endogenous product cycles and trade-related international knowledge spillovers are modified and extended to FDI. The major conclusion is that, in the presence of FDI, economic growth is determined by the stock of human capital, the subjective discount rate and knowledge gap, while unskilled labour can not sustain growth. In the fourth study, the role of FDI in the growth process of the Chinese economy is investigated by using a panel of data for 27 provinces across China between 1986 and 1995. In addition to FDI, domestic R&D expenditure, international trade and human capital are added to the standard convergence regressions to control for different structural characteristics in each province. The empirical results support endogenous innovation growth theory in which regional per capita income can converge given technological diffusion, transfer and imitation.
Resumo:
This paper contrasts the effects of trade, inward FDI and technological development upon the demand for skilled and unskilled workers in the UK. By focussing on industry level data panel data on smaller firms, the paper also contrasts these effects with those generated by large scale domestic investment. The analysis is placed within the broader context of shifts in British industrial policy, which has seen significant shifts from sectoral to horizontal measures and towards stressing the importance of SMEs, clusters and new technology, all delivered at the regional scale. This, however, is contrasted with continued elements of British and EU regional policy which have emphasised the attraction of inward investment in order to alleviate regional unemployment. The results suggest that such policies are not naturally compatible; that while both trade and FDI benefit skilled workers, they have adverse effects on the demand for unskilled labour in the UK. At the very least this suggests the need for a range of policies to tackle various targets (including in this case unemployment and social inclusion) and the need to integrate these into a coherent industrial strategy at various levels of governance, whether regional and/or national. This has important implications for the form of any 'new' industrial policy.
How does ownership structure affect capital structure and firm value?:Recent evidence from East Asia
Resumo:
The present paper examines the effects of ownership structures on capital structure and firm valuation. It argues that the effects of separation of control from cash flow rights on capital structure and firm value also depend on the separation of control from management as well as on legal rules and enforcement defining investors' protection. We obtain firm-level panel data (three stage least squares, 3SLS) estimates from four of the East Asian countries worst affected by the last crisis. There is evidence that the general wisdom that higher control than cash flow rights may lower firm value may be reversed among owner-managed family firms in the sample countries. © 2007 The Authors Journal compilation © 2007 The European Bank for Reconstruction and Development.
Resumo:
This paper examines the extent to which foreign investment in the UK generates wage spillovers in the domestic sector of the economy using a simultaneous dynamic panel data model and focusing on the electronics sector, possibly the most ‘globalized’ sector of UK manufacturing. It finds evidence that the higher wages paid by foreign firms cause wages in the domestic sector to be bid up. This phenomenon is, however, largely confined to the region where foreign direct investment takes place.
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This paper evaluates the extent of inter-industry and inter-regional wage spillovers across the UK. An extensive body of literature exists suggesting that wages elsewhere affect wage determination and levels of satisfaction, but this paper extends the analysis of wage determination to examine the effects of inward investment in the process. Thus far the specific effect of foreign wages on domestic wage determination has not been evaluated. We employ industry- and regional-level panel data for the UK, and contrast results from alternative approaches to space-time modelling. Each supports the notion that such wage spillovers do occur, though assumptions made concerning the modelling of spatial interaction are important. Further, such wage spillovers are more widespread for skilled than for unskilled workers and also lower in areas of high unemployment. © 2006 Regional Studies Association.
Resumo:
One of the central explanations of the recent Asian Crisis has been the problem of moral hazard as the source of over-investment and excessive external borrowing. There is however rather limited firm-level empirical evidence to characterise inefficient use of internal and external finances. Using a large firm-level panel data-set from four badly affected Asian countries, this paper compares the rates of return to various internal and external funds among firms with low and high debt financing (relative to equity) among financially constrained and other firms. Selectivity-corrected estimates obtained from random effects panel data model do suggest evidence of significantly lower rates of return to long-term debt, even among firms relying more on debt relative to equity in our sample. There is also evidence that average effective interest rates often significantly exceeded the average returns to long-term debt in the sample countries in the pre-crisis period. © 2006 Elsevier Inc. All rights reserved.
Resumo:
Using a rich panel data set, we provide a rigorous analysis of the relationship between access to external finance, foreign direct investment and the exports of private enterprises in China. We conclude that, in order to foster the exports of indigenous enterprises, the elimination of financial discrimination against private firms is likely to be a more effective policy tool than the reliance on spillovers from multinational firms. © 2007 Blackwell Publishing Ltd.
Resumo:
This paper introduces a compact form for the maximum value of the non-Archimedean in Data Envelopment Analysis (DEA) models applied for the technology selection, without the need to solve a linear programming (LP). Using this method the computational performance the common weight multi-criteria decision-making (MCDM) DEA model proposed by Karsak and Ahiska (International Journal of Production Research, 2005, 43(8), 1537-1554) is improved. This improvement is significant when computational issues and complexity analysis are a concern.
Resumo:
This paper extends the existing evidence on the relationship between Information and Communication Technology (ICT) and productivity using data from the entire Iranian manufacturing sector (22 industries) over the period 1993?1999. Estimates of efficiency using panel data confirm the positive and significant impact of ICT investments on productivity. Our finding is consistent with the most recent literatures in the context of developed and a few middle-income developing countries. Human capital and increasing ICT capital are probably two determining factors in gaining the positive payoffs from ICT investments in Iran.
Resumo:
As information and communications technology (ICT) involves both traditional capital and knowledge capital, potential spillovers through various mechanisms can occur. Having tried to confirm the existence of ICT spillovers across country borders as Park et al. (Inf. Syst. Res., vol. 18, pp. 86-102, 2007), we investigate the patterns and mechanisms of international ICT spillovers. We use panel data on 37 countries from 1996 to 2004. We find that developing countries could reap more benefits from ICT spillovers than developed countries. We also find that the higher the Internet penetration rate in recipient countries, the more international ICT spillovers there might exist. Our findings are important for policy decisions regarding national trade liberalization and economic integration. Developing economies that are more open to foreign trade may have an economic advantage and may develop knowledge-intensive activities, which will lead to economic development in the long run.