10 resultados para M21 - Business Economics

em University of Queensland eSpace - Australia


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This paper presents a metafrontier production function model for firms in different groups having different technologies. The metafrontier model enables the calculation of comparable technical efficiencies for firms operating under different technologies. The model also enables the technology gaps to be estimated for firms under different technologies relative to the potential technology available to the industry as a whole. The metafrontier model is applied in the analysis of panel data on garment firms in five different regions of Indonesia, assuming that the regional stochastic frontier production function models have technical inefficiency effects with the time-varying structure proposed by Battese and Coelli ( 1992).

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This paper analyses the causes and implications of declining economics major in Australia. Based on a brief review of the relevant literature and an analysis of the Australian time series data, it is found that economics continues to be less attractive to students in relative terms. Three major factors contribute to this phenomenon: less than appropriate product for an increasingly diverse clientele, the introduction of more attractive and business, commerce and industry-oriented programs such as finance, accounting and commerce, and business majors geared to the needs of the real world, and the use of less experienced teaching staff in lower undergraduate courses. It is argued that stemming the tide against the economics discipline would require a significant rethink of development of products more vocational and real world-oriented, market segmentation for different clientele types, and marshalling of more experienced and capable teaching staff for lower undergraduate levels.

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In an earlier note, Collins and Tisdell (2002b) explored the possibility of a long-run relationship between Australian business returns and international business travel. Using annual data they found that such a relationship exists. The purpose of this study is to further examine this relationship using quarterly data for the time frame 1974:1 to 1999:4. In addition, previous studies on international business travel have offered some but not strong evidence for the existence of a positive relationship between the level of international business travel and real GDP of the origin country. This study suggests that the aggregate return on business investments is a better predictor of international business travel than GDP. The Engle-Granger and Johansen's maximum-likelihood cointegration procedures are used to show a long-term relationship exists between Australian outbound business travel and Australian business returns, but not with Real Australian GDP. Reasons for this relationship are discussed.

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There have been recent calls for the field of International Business to retool its routines by becoming genuinely interdisciplinary. This paper takes such an approach by using recent advances in the fields of evolutionary economics and applying them to IB. Evolutionary economists are now viewing the economy as an actual network. Consequently, one the key analytical tools in this approach is network analysis. Some of the basic methods in network analysis are reviewed. The paper then looks at how using these tools might be of use in IB studies. In particular, it outlines fruitful research paths in the areas of globalisation and regionalisation, and the measurement of performance in multi-national firms and alliances. In each case, propositions are put forward which can be analytically tested with the use of network analysis. The paper concludes with a brief outline of a research agenda which utilises this approach in International Business studies.

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A growing body of literature is concerned with explaining cross-national performance of small business and entrepreneurs in advanced economies. This literature has considered a range of policy and institutional variables which create an environment supportive of small firms and entrepreneurial activities including macroeconomic variables such as taxation, labour market regulation, social security and income policy; regulatory factors such as establishment legislation, bankruptcy policy, administrative burdens, compliance costs, deregulation and competition policy; and cultural factors such as social and cultural norms that support entrepreneurship. However, this literature has not always distinguished between the policy environment of small firms operating in different industry sectors. The purpose of this paper is to examine the institutional and policy environment of small firms in knowledge intensive sectors. The characteristics of the business environment of particular relevance to knowledge intensive firms are somewhat different from the conditions for entrepreneurship and small business success more generally. This paper compares the science, technology and industry infrastructure of Australia, Denmark, Sweden with other OECD countries. The purpose of the paper is to identify cross-national differences in the business environment of small knowledge intensive firms. The paper seeks to explore whether particular institutional environments appear to be more supportive of small firms in knowledge intensive sectors.