35 resultados para construction market

em Deakin Research Online - Australia


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The rapidly increasing construction demand in China, particularly spurred by the coming 2008 Beijing Olympic Games and the 2010 Shanghai Expo, provides challenging opportunities for overseas construction enterprises. Therefore understanding the structure and dynamics of construction industry in China is crucial, particularly the potential changes of the market after the China's entry into the World Trade Organization. This paper analyses the development of construction economics and institutional regulations in the construction market, and provides a comprehensive image on the Chinese construction sector in the global environment.

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Construction price forecasting is an essential component to facilitate decision-making for construction contractors, investors and related financial institutions. Construction economists are increasingly interested in seeking a more analytical method to forecast construction prices. Although many studies have focused on construction price modelling and forecasting, few have considered the impacts of large-scale economic events and seasonality. In this study, an advanced multivariate modelling technique, namely the vector correction (VEC) model with dummy variables, was employed. The impacts of global economic events and seasonality are factored into the model to forecast the construction price in the Australian construction market. Research findings suggest that both long-run and dynamic short-term causal relationships exist among the price and levels of supply and demand in the construction market. These relationships drive the construction price and supply and demand, which interact with one another as a loop system. The reliability of forecasting models was examined by the mean absolute percentage error (MAPE) and the Theil's inequality coefficient U tests. The test results suggest that the conventional VEC model and the VEC model with dummy variable are both acceptable for forecasting the construction price, while the VEC model considering external impacts achieves higher prediction accuracy than the conventional VEC model. © 2014 © 2014 Taylor & Francis.

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The construction activities of a contractor may physically take place in the home country or overseas, and the latter, particularly of a large company, has an increasing proportion with the globalisation. Globalisation of the construction industry and its market is a trend in every country, Which increases the opportunities of both international construction, and competition or collaboration with foreign construction companies. International construction project management is undertaken in a complicated circumstance, and requires a synthetic management approach. This research aims to establish a primary framework for the critical operational management in achieving international construction projects in a novel construction market.

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Despite the increasing significance of e-business worldwide and construction market leaders developing innovative e-business applications, the widespread uptake in the Australian construction industry is lagging. There has been considerable literature related to e-business adoption focusing on drivers and barriers to adoption. However, there has not been an investigation that has applied fundamental supply chain theory concepts. In this paper a reflexive capability model for the individual firm in relation to e-business is developed which relies upon merging economic and social practices through an industrial organization economic theoretical lens and social science theories of communication. The reflexive
capability model proposed within this paper describes a framework for theorization of the different degrees of e-business adoption exhibited by individual firm’s and accounts for social-cultural, organisational-structural, communicative and economic (market and supply
chain) barriers, influences and pressures to adopt e-business.The model is proposed for the construction supply chain to enable awareness, engagement and realization of e-business technology and achieve long term construction e-business sustainability.

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Studies on market convergence are well considered in the literature. However, the majority of the previous research focused on housing markets and few studies have concentrated on construction markets. Owing to a simultaneously dramatic increase in the construction prices of the sub-markets in the building construction sector in Australia, this paper aims to identify the convergence among these markets, involving house construction market, other-residential building construction market, and non-residential building construction market. To achieve it the Granger causality test and generalized response function depending on the vector error correction model with the quarterly data of Australia’s eight states from 1998 to 2010 will be applied. Based upon the econometric tests, the price diffusion patterns among these construction markets have been identified. Research on the convergences of construction markets not only helps construction firms perform well in business operations and arbitrage activities, but also provides policy makers with useful information for enacting effective construction policies for national perspectives and approaches to infrastructure planning.

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Modelling the level of demand for construction is vital in policy formulation and implementation as the construction industry plays an important role in a country’s economic development process. In construction economics, research efforts on construction demand modelling and forecasting are various, but few researchers have considered the impact of global economy events in construction demand modelling. An advanced multivariate modelling technique, namely the vector error correction (VEC) model with dummy variables, was adopted to predict demand in the Australian construction market. The results of prediction accuracy tests suggest that the general VEC model and the VEC model with dummy variables are both acceptable for forecasting construction economic indicators. However, the VEC model that considers external impacts achieves higher prediction accuracy than the general VEC model. The model estimates indicate that the growth in population, changes in national income, fluctuations in interest rates and changes in householder expenditure all play significant roles when explaining variations in construction demand. The VEC model with disturbances developed can serve as an experimentation using an advanced econometrical method which can be used to analyse the effect of specific events or factors on the construction market growth.

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Cost estimation process is undertaken to predict the total cost of the project. Studies indicate that one of the construction company failures in contracting is because of the uncertain, incorrect, and unrealistic cost estimation. Cost estimation process are heavily influenced by the complexity of the project, scale and scope of construction, market conditions, method of construction, site constraints, client’s financial position, buildability and the location of the project. However, there are other combinations factors that have not been studied thus far. Hence, this paper focuses on the review of other researchers’ findings in relation to cost estimation issues in the construction industry. Among the findings, it has been revealed that the cost estimation issues are related to accuracy, human factors, practical knowledge and insufficient cost data/information. The aim of this paper is to investigate these factors and determining other potential factors that may influence cost estimation process in the construction industry.

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A reliable forecasting for future construction costs or prices would help to ensure the budget of a construction project can be well planned and limited resources can be allocated more appropriately in construction firms. Although many studies have been focused on the construction price modelling and forecasting, few researchers have considered the impacts of the global economic events and seasonality in price modelling and forecasting. In this study, an advanced multivariate modelling technique, namely the vector correction (VEC) model with dummy variables was employed and the impacts of the global economic event and seasonality were factored into the forecasting model for the building construction price in the Australian construction market. Research findings suggest that a long-run equilibrium relationship exists among the price, levels of supply and demand in the construction market. The reliability of forecasting models was examined by mean absolute percentage error (MAPE) and The Theil's inequality coefficient U tests. The results of MAPE and U tests suggest that the conventional VEC model and the VEC model with dummy variable are both acceptable for forecasting building construction prices, while the VEC model that considered external impacts achieves higher prediction accuracy than the conventional VEC model does.

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This study aims to develop reliable demand estimation models, at both national and regional levels, for the Australia’s construction market. The developed models would benefit the industry by serving as a reliable aid to policy in the areas of tendering, pricing, resource allocating, labour and workload planning.

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Reliable forecasting as to the level of aggregate demand for construction is of vital importance to developers, builders and policymakers. Previous construction demand forecasting studies mainly focused on temporal estimating using national aggregate data. The construction market can be better represented by a group of interconnected regions or local markets rather than a national aggregate, and yet regional forecasting techniques have rarely been applied. Furthermore, limited research has applied regional variations in construction markets to construction demand modelling and forecasting. A new comprehensive method is used, a panel vector error correction approach, to forecast regional construction demand using Australia’s state-level data. The links between regional construction demand and general economic indicators are investigated by panel cointegration and causality analysis. The empirical results suggest that both long-run and causal links are found between regional construction demand and construction price, state income, population, unemployment rates and interest rates. The panel vector error correction model can provide reliable and robust forecasting with less than 10% of the mean absolute percentage error for a medium-term trend of regional construction demand and outperforms the conventional forecasting models (panel multiple regression and time series multiple regression model). The key macroeconomic factors of construction demand variations across regions in Australia are also presented. The findings and robust econometric techniques used are valuable to construction economists in examining future construction markets at a regional level.

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Climate change is a severe threat to human development. Environmental protection and economic growth are two significant dimensions of promoting sustainable global development. In this research, a two-step procedure has been applied to investigate carbon productivity, which is deemed an appropriate indicator to measure sustainable development in conjunction with carbon reduction and production advancement. A decomposition method with the Log Mean Divisia Index has been applied to explore the factors influencing carbon productivity change, including technological innovation and regional adjustment. The carbon productivity of the Australian construction industry from 1990 to 2012 was then investigated. Research results indicate that carbon productivity in Australian construction had increased significantly and could be further improved. Technological innovation has played an important role in promoting carbon productivity, while regional adjustment has remained roughly steady. Based on correlation analyses, scale of the construction market and stock of machinery and equipment had shown weak correlations with carbon productivity changes, and it was clear that improvement in carbon productivity could benefit capital productivity and investment return. The research has systematically defined carbon productivity and for the first time measured it for the construction industry. The results are expected to assist construction industries worldwide to investigate productivity performance and to identify the influencing factors for improving development sustainability.

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David Cadman’s Property Development has long been the standard textbook on the commercial property development process in the UK, and with this fifth edition the book is brought completely up to date for a new generation of readers. Accessible to students of all disciplines within the built environment, the book is geared directly towards students of property development at undergraduate or graduate levels. It provides a clear and practical overview of the property development process, together with critical analysis of the key issues faced by property professionals today.

The fifth edition retains the established structure of previous editions, by focusing on land acquisition, development appraisal, finance, planning, construction, market research and promotion. Additionally, reflecting changes in practice, there is also new material on the environmental impacts of property development, with a chapter on Sustainable Property Development, and on the growth of international working in the property sector. Excellent case studies, which are enhanced by discussion questions, illustrate the process at work. This fully revised and updated edition of a classic text for all property development students will also be of interest to early career professionals and those pursuing a professional degree in the industry.

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Small and medium enterprises (SMEs) are critical to strategic initiatives in an economy; however, their contribution to foreign trade is not as significant. SMEs are one of the principal driving forces in economic development. One of the greatest challenges is the internationalization process for longevity rather than seeing the process as initial market entry. The internationalization process research has typically involved four key constructs: market selection, decision to enter, entry modes and factors affecting entry modes. Past research has focused on large manufacturing firms. The export of architectural, engineering and construction (AEC) firms has undergone growth, yet there is still significant opportunity for further growth. The majority of AEC firms are SMEs. Notwithstanding assistance provided through international trade missions, organized export firm support networks and information packages by a burgeoning number of government agencies, there are still perceived barriers to market entry and long-term economic sustainability for SMEs. There are a number of problems faced by SMEs acting in foreign trade. This investigation explores the successful initial internationalization process constructs and identifies unique project-oriented sector characteristics. The study identified similarities and differences between two firms that have been exporting to various localities, including Eastern Europe, Africa, Middle East, UK, Asia and South America, for more than two decades. The similarities and differences were identified within eight major constructs: purpose, firm type, market image and design philosophy, entry mode strategy, institutional arrangement, factors affecting mode of entry, market selection and firm strategy in relation to project selection. The primary reasons for internationalization were associated with the firms' motivations related to growth and financial viability. This article discusses the various internationalization processes and strategies intrinsic to each case study and establishes a detailed set of empirical observations from which to develop further a grounded theoretical model of reflexive capability for the internationalization process. This study contributes to the body of knowledge around the SME AEC design service firm's internationalization process, as a dynamic, evolving and continuously adaptable construct for project-based sectors.

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This paper draws on interview data gathered from a broader studyconcerned with examining issues of social justice, cultural diversityand schooling. The focus is on five students in Years 5 and 6 whoattend a primary school located on the edge of a class-privilegedarea in outer London. The children are all high achievers who are veryinvested in doing well in school and in life within the parametersof neoliberalism. The paper examines the ways in which neoliberaldiscourses of performativity and individual responsibilisationpermeate the children’s talk in relation to their understandings ofeducation and their future, and their worth and value as students.Such examination enriches the findings of important research in thisarea that draws attention to the ways in which neoliberal discourseshave become naturalised and taken-for-granted in what counts asbeing a good student and a good citizen. The paper problematisesthe individualism, competitiveness and anxiety produced by thesediscourses and provides further warrant for supporting students toidentify, challenge and think beyond them.