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Ecological economics is a multidisciplinary endeavour to connect the social sciences and nature in general. It also connects aspects of ecology and economics to a particular understanding. The created concept centred on the mission to acquire a more advanced albeit better scientific understanding of the complex interconnections between humans, animals and the rest of nature. This is driven towards utilising the obtained knowledge to establish policies that will lead to a more environmentally sustainable world, with a fair resource distribution (both across human groups and generations, as well as between humans, the environment and other species), and also efficiently allocates limited resources such as ‘natural’ and ‘social’ capital. This practice necessitates the development of new methodologies that are comprehensive, adaptive, integrative, multi-scale, pluralistic and evolutionary, while also acknowledging the enormous uncertainties involved.

Construction economics scholars have emphasised the importance of construction output forecasting and have called for increased investment in infrastructure projects due to the positive relationship between construction output and economic growth. However, construction output tends to fluctuate over time. Excessive changes in the volume of construction output have a negative impact upon the construction sector, such as liquidation of construction companies and job losses. Information gleaned from extant literature suggests that fluctuation in construction output is a global problem. Evidence indicates that modelling of construction output provides information for understanding the factors responsible for these changes.

An interpretivist epistemological lens is adopted to conduct a systematic review of published studies on modelling of construction output. A thematic analysis is then presented, and the trends and gaps in current knowledge are highlighted.

It is observed that interest rate is the most common determinant of construction output. Also revealed is that very little is known about the underlying factors stimulating growth in the volume of investment in maintenance construction works. Further work is required to investigate the efficacy of using non-linear techniques for construction output modelling.

This study provides a contemporary mapping of existing knowledge relating to construction output and provides insights into gaps in current understanding that can be explored by future researchers.

Official statistics on the output of the construction industry capture on-site activities of contractors and sub-contractors; however, the role of the industry linking suppliers of materials, machinery, products, services and other inputs is also widely recognised. These two views have been called broad and narrow, with the narrow industry defined as on-site work and the broad industry as the supply chain of materials, products and assemblies, and professional services. An argument is made for using the term “built environment sector” (BES) for the broad industry definition of construction. The paper aims to discuss these issues.

Construction industry statistics capture the on-site activities of contractors and sub-contractors. This paper reviews research that adds to construction output the contributions of suppliers of materials, machinery and equipment, products and components, professional services and other inputs required to deliver the buildings and structures that make up the built environment.

The same term, “construction”, has been used in a number of ways in different definitional studies of the narrow and broad industry. The term that best encompasses the large number and range of participants in the creation and maintenance of the built environment, from suppliers to end users, is the BES.

Construction economics makes an important contribution to researching the macroeconomic role of the BES. There is also a special role for construction economics in researching both the boundaries of the BES and the data available on the industries that contribute to the BES.

Measuring the BES would improve the understanding of its macroeconomic role and significance.

Measuring the BES would contribute to city policies and urban planning.

The paper proposes a new approach to defining and measuring the industries that contribute to the production, maintenance and management of the built environment. It introduces a new name for the combination of those industries.

The model and existing practice of the construction supply chain (CSC) in the United Kingdom (UK) and Australia was presented in this chapter. The policies and reports that support the practice of the CSC were examined in both countries. It was discovered from the review of literature that the UK has a more detailed report targeted at improving the CSC than Australia. However, both countries have a common factor affecting their CSC which originates from fragmentation experienced within their supply chain. Construction stakeholders in the UK and Australia believe that collaboration and integration are vital components for improving performance. The majority of the contractors in both countries embrace collaborative working for the sole purpose of risk sharing, access to innovation and response to market efficiency. However, most of the models developed for managing the CSC in the UK are built around building information modelling (BIM). Also, the reviewed studies show that supply chain management practice will be effective following the following principle: shared objectives, trust, reduction in a blame culture, joint working, enhanced communication and information-sharing. Finally, the UK has a more established framework and more CSC models compared to Australia.

Creating our built environment is largely the responsibility of the dynamic and complex construction industry. This business is made up of a wide range of people who work together to construct buildings and infrastructure projects, from contractors and labourers to architects and engineers. Aside from its observable results, the construction sector has a particular culture and atmosphere that are formed by a special fusion of history, creativity and teamwork. The culture and environment in which the construction industry functions are the main topics of this section of the book.

The construction programmes of developing countries have constituted a significant part of the international construction market. However, while international contractors seek to exploit these opportunities, the host nations also wish to develop their construction industries over time. This paper shows how conflicting objectives of international contractors and host countries can be correlated for mutual benefit. It outlines strategies adopted by international construction enterprises and contrasts the approaches they adopt in industrialised countries with those in developing ones. It then compares the objectives of international construction enterprises to those of host countries. It uses Singapore's experience to illustrate likely future developments in the construction industries of emerging countries. Finally, it offers suitable approaches that international and local construction enterprises, and governments, should adopt at various stages of development of host countries' construction industries.

It is widely believed that the construction industry is more volatile than other sectors of the economy. Accurate predictions of the level of aggregate demand for construction are of vital importance to all sectors of this industry (e.g. developers, builders and consultants). Empirical studies have shown that accuracy performance varies according to the type of forecasting technique and the variable to be forecast. Hence, there is a need to gain useful insights into how different techniques perform, in terms of accuracy, in the prediction of demand for construction. In Singapore, the residential sector has often been regarded as one of the most important owing to its large percentage share in the total value of construction contracts awarded per year. In view of this, there is an increasing need to objectively identify a forecasting technique which can produce accurate demand forecasts for this vital sector of the economy. The three techniques examined in the present study are the univariate Box‐Jenkins approach, the multiple loglinear regression and artificial neural networks. A comparison of the accuracy of the demand models developed shows that the artificial neural network model performs best overall. The univariate Box‐Jenkins model is the next best, while the multiple loglinear regression model is the least accurate. Relative measures of forecasting accuracy dealing with percentage errors are used to compare the forecasting accuracy of the three different techniques.

Construction industries in developing countries face many problems. One of these is the low level of their technological development. This paper considers how a national technology policy can help improve the situation. After a brief discussion of technology and its development, construction technology development is considered. The nature of, and potential benefits from, technology policies are discussed. Ghana's experience and that of other countries in construction technology development are outlined. Courses of action for achieving progress are then indicated.

This paper supplements and extends consideration of quantitative models with application to building (costs and) prices by examining human elements inherent in modelling. In considering the concepts of modelling, attention is focused on the recently developed sociology of science, which questions the traditional perspective of total separation of a reality from the observer—the ‘objective’ basis of scientific positivism. It is argued that human activities are fundamental in, and inseparable from, reality and so, they are integral in modelling. The aim of modelling should be to enhance understanding and knowledge rather than to secure inert objectivity. Application to modelling of prices of building projects investigates how prices are formulated, which prices are commonly modelled and the impact of the decision‐makers involved. It is concluded that new models are required, perhaps developed through methodological pluralism, which identify people‐oriented variables and assumptions explicitly. Further, the models should be stochastic and with sound bases in theories of economics and human behaviour to ensure that users are aware of the major variabilities in the processes modelled and so, by realistically informing, promote better decision making.

The purpose of this paper is to review the existing literature on project success in academic journals, specifically within the context of construction engineering and management (CEM). It also aims to provide a holistic picture of existing research and to identify research implications in this specific area.

The paper is an extensive literature review of a total of 164 peer-reviewed journal papers between 2007 and 2017, using a mixed bibliographic and bibliometric method that considers annual circulation, institutional and regional contributions, author contributions, citations, categories of research methods and keywords networking.

There has been an increasing research interest in CEM project success. The largest number of published studies targets the developed regions, especially in Hong Kong, whereas the papers related to the developing economies remain weak. Questionnaire, interview and case study have comprised the main data collection methods, and descriptive data analysis was performed in most of the case/field studies. The subtopic related to the critical success factors (CSFs) is considered as the most popular in the keywords network in the targeted research area. Four implications, namely, megaproject success, project success in developing countries, relationships between CSFs and success outcomes, and the influence of human factors are highlighted in future research.

This paper departs from earlier research by using a mixed bibliographic and bibliometric method, especially facilitating to analyze and illustrate the interlinkages between keywords effectively. Additionally, it provides a clear picture of the existing literature on CEM project success, which contributes to insights for successful construction project management. Finally, the holistic analysis identifies gaps in the body of knowledge, revealing avenues for future research.