983 resultados para Technical output inefficiency


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A significant limitation in previous linkage relevant research is that the flow of capital goods is not addressed. Using the OECD input-output tables, this research first generates a new input-output model considering capital as an intermediate factor. Using the new model, the real estate linkages are re-calculated and investigated in order to evaluate appropriately the impact of the real estate sector on national economies. The findings verify that the linkages of the real estate sector were extremely underestimated in previous research. A correct linkage measure of the real estate sector can contribute to produce correct information corresponding to the sectors responsible for the economic growth during the period under study and provide substantial contributions towards guiding the appropriate strategies for future economic development.

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Abstract: During the 1990s, the construction sector played an important role with its growing contributions to the gross national product, gross domestic product and employment in the Australian economy. Using the newly released 1998-99 input-output table and four previously published tables by the Australian Bureau of Statistics, this paper aims to measure the sectoral linkages of the Australian construction sector in the 1990s in relation to other industrial countries. Results describe the increase in construction volume was mainly due to the increase in governmental and non-residential construction expenditures and lagging construction technology. The technical level of the non-residential construction sub-sector was a drag to the total construction, while the non-residential construction sub-sector presented a stronger economic push than that of the residential construction sub-sector. In the 1990s, the inputs and outputs' components of the construction sector were stable. The linkages of the Australian construction sector are discussed from an international point of view.

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This paper reports results from a forecasting study for inflation, industrial output and exchange rates for India. We cannot reject the null hypothesis for linearity for all series used except for the growth rate of the foreign exchange series and our analysis is based on linear models, ARIMA and bivariate transfer functions and restricted VAR. Forecasting performance is evaluated using the models’ root mean-squared error differences and Theil’s inequality coefficients from recursive origin static, fixed origin dynamic and rolling origin dynamic forecasts. For models based on weekly data, based on RMSEs, we find that the bivariate models improve upon the forecasts of the ARIMA model while for models based on monthly data the ARIMA model has almost always better performance. In choosing between the two bivariate models on the basis of RMSEs, our overall results tend to support the use of a restricted VAR, as this model had the best forecasting performance more frequently than the transfer function model.

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This paper presents an efficient technique to design dynamic feedback control scheme for single-link flexible manipulators.  A linear model can be derived for the robotic system using the assumed-mode method.  Conventional techniques such as pole-placement or LQR require physical measurements of all systme states,  posing a stringent requirement for its implementation.  To overcome this problem, a low-order state functional observer is proposed here for reconstruction of the state feedback control action.  The observer design involves solving an optimisation problem with the objective to generate a feedback gain that is as close as possible to that of the required feedback controller.  A condition for robust stability of the closed-loop system under the observer-based control scheme is given.  The attractive features of the propsed technique are the resulted functional state observer is of a very low order and it requires only sensor measurements of only the output- the tip position of the arm.

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The socio-technical framework (STF) is useful for describing how technologies are embedded in social systems and how people, groups and technologies are interrelated. This perspective, however, lacks theoretical specificity and has limited usefulness in explaining the dynamics of actual situations. In this paper we address the question of how to extend the STF to better analyse technologies in their social context. We build on the STF by including the concept of ‘information ecology’ and research on service provision to suggest a more empirically focussed way of analysing the relationships between people and technologies. In particular, we examine changes that have occurred as B2C eCommerce technologies have been implemented in service organisations, using case study findings from retail banking to introduce the concept of ‘Coactive Commerce Systems’. This concept provides a theoretically based descriptor for understanding the technologically-mediated interrelationships between organisations and their customers.

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Technical efficiency has been widely studied in the literature, but in its pursuit, many of the inputs used can impact on the environment. Environmental effects can be modelled as undesirable output or, as has been the case in more recent studies, as conventional inputs. This paper examines the concept of environmental efficiency and how it can be used to evaluate the performance of Australian dairy farming, using nitrogen surplus, arising from excessive applications of fertilizer, as a detrimental input. Farming promotes the image of clean and green production and if this image is to be maintained, there is a need to ensure activities are environmentally friendly.

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Technical textiles, based on advanced polymeric materials, are an important segment of the synthetic textile market. This area has seen considerable growth in recent times, now accounting for almost 25% of all manufactured synthetic fibres, and has driven the recent development of a range of specialist high performance polymer fibres that are stronger, lighter or have improved heat and fire resistance. However, the increasing size of the market has highlighted the need for materials that have improved performance whilst maintaining low manufacturing costs. These factors have resulted in a change in how new specialty fibres are developed and the emphasis in this field is now on the upgrading or improving of the properties of commodity (conventional) fibres by modifying their properties to suit specific applications.

This paper will describe our work on preparing novel polymer nanocomposite fibres by the addition of clay nanoparticles during melt extrusion. The effect of the nanoparticles on the processing of the fibres and the result on the physical morphology and mechanical properties will be described.

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This study examines attitudes of U.S.-based Academy of Marketing Science members toward teaching, research, participation in administration (including service), and academic promotional issues. Individuals were grouped using Ward’s and K-means clustering procedures, which revealed four groups—established academics, research-focused academics, less satisfied midcareer academics, and satisfied teachers. Clusters were further profiled according to the amount of time spent on teaching, research, and administration; research output; and individual demographic and institutional characteristics. Overall, clusters were generally dissatisfied with a range of work-related issues, with workload stress appearing as an issue that needs to be addressed within marketing academia.