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The purpose of this paper is to analyze the long-term performance of construction sector initial public offers (IPO) made in India during 2006–2015. The study aims to compare the performance of the construction sector IPOs with the non-construction sector IPOs and finds the determinants of long-term performance of construction sector IPO with a time horizon of three years. The study also attempts to find out, if the long-term IPO underpricing that has been discussed in the literature, really exists or it is a myth.

The study uses data of IPOs listed on National stock exchange during 2006–2015. In total, 281 IPOs are considered for the study, among which 44 are construction sector IPOs. IPOs anniversary performance of three successive years is calculated from the date of listing, and a random effect panel regression model with clustered robust estimates using the maximum likelihood method is performed to find out the determinants of IPO performance. The data are also tested for multicollinearity, stationarity and heteroscedasticity to ensure the robustness of results.

The results show that in the long-run construction sector IPOs outperform the non-construction sector IPOs, though the performance is below average when compared to market returns. The IPO underpricing is a myth, and IPO underperformance is a reality in India. The performance of construction sector IPOs is driven positively by market return, size of the firm and negatively by liquidity of the firm.

The paper is the first attempt to analyze the performance of construction sector IPOs, and compare it with non-construction sector IPOs. The study uses a random effect panel regression model with robust estimates using the maximum likelihood method to ensure the robustness of results. This is the first time the performance of IPOs is studied with a panel data approach.

The purpose of this paper is to measure and compare the technical efficiency of construction companies in seven European countries: Austria, Germany, Hungary, Italy, Poland, Portugal and Spain, during the 2008–2015 period. The analysis involves nine sectors grouped into three divisions: construction of buildings (F41), civil engineering (F42) and specialized construction activities (F43), by NACE classification.

Multidirectional efficiency analysis was adopted to investigate the levels of efficiencies, the differences in those levels and the possible causes of such differences by further defining two new indices.

It showed that F43 is the most efficient division during the study period, followed by F42 and F41. The sectors/countries with less efficiency are: construction of roads and railways/Poland, construction of other civil engineering projects/Hungary, demolition and site preparation/Poland, other specialized construction activities/Portugal. Globally, the development of building projects sector uses resources in the most inefficient way and there was a drop in the efficiency in 2011 and 2013, showing a delay in the crisis impact. After 2010, civil engineering projects required a substantial effort to access resources. Other features regarding (in)efficiency were further identified.

The analysis was conducted with one of the most effective techniques in frontier analysis. The first introduced index allows for comparing efficient/inefficient subgroups, and the other index measures the resource acquisition effort, allowing a better comparison along years. The study provides a good understanding of the performance of the construction industry and indirectly exposes the strategies to overcome the crisis, through the identification of the inputs/outputs which are well/badly used.

This paper responds to the need for more construction project management research in the emerging field of social procurement. It contributes by exploring the potential value of cross-sector collaboration and project-based intermediation in meeting new social procurement imperatives.

A thematic exploratory case study analysis is presented of seventy-three interviews undertaken with stakeholders involved in a unique project-based intermediary developed by a major Australian construction company to leverage the power of cross-sector collaboration in response to social procurement imperatives on its projects, based on semi-structured interviews with 33 disadvantaged job seekers, 40 organisational stakeholders (employment agencies; not-for-profits, Indigenous, disability and refugee support organisations; training organisations; subcontractors; government agencies and departments; community organisations) and observational and documentary data over the duration of a unique project-based intermediary called a Connectivity Centre, developed by a major Australian contractor to deliver on its emerging social procurement requirements.

The results show that cross-sector collaboration within the construction industry can produce highlight numerous cognitive, behavioural, health, situational and affective social impacts for the project community and shared-value benefits for the range of organisations involved. However, it is found that cross-sector collaboration through project-based intermediation in a construction context is challenging due to the fragmented and dynamic nature of construction project teams and the communities they have to engage with. Encouraging people and organisations to collaborate who operate in industries and organisations with different and sometimes competing institutional logics and objectives (even if they are linked by common values) requires a set of knowledge, competencies and relationships not recognised in current global project management competency frameworks.

This research contributes new insights to the emerging but embryonic body of research into construction social procurement by demonstrating the value of emerging theories of social procurement, social value, cross-sector collaboration and intermediation in enhancing our currently limited understanding of the complex challenges involved in responding to new social procurement requirements in the construction industry. It explores and documents the potential value of project-based intermediaries in developing and managing the new cross-sector relationships, roles, relational competencies and practices, which are required to effectively respond to and measure the impact of emerging social procurement policies in the construction industry. These findings have a potentially significant social impact by providing new insights for policymakers and the construction industry, to optimise the industry’s response to emerging social procurement policies.

The aim of this paper is to analyze and compare the performance of the construction sector in Turkey and selected European Union (EU) countries using input‐output (IO) tables for the years 1998 and 2002.

IO tables are used to analyze and compare the construction sector. First the input‐output analysis and the construction sector are briefly introduced. Then, the data and methodology are specified. A set of indicators obtained from the data is used for the comparative analysis.

The construction sector of the selected 13 countries is examined in terms of Gross National Product (GNP) and National Income (NI) shares; direct and total construction backward and forward linkage indicators and direct and total construction inputs from manufacturing and services reflecting the technologies used in construction. The key findings are pointed out in the conclusion.

The lack of data from Turkey relating to recent years and incompatibility of new and old data limit this study's scope to the two years.

The concept of using IO analysis for comparing the construction sector has been around for a considerable period of time. This paper has an importance for comparing the construction sector in Turkey and some selected EU countries, being the first study in that field in Turkey, and is therefore of direct importance for the Turkish construction sector.

The primary objectives of this study are to (1) highlight subsectors and industry groups of the construction sector that are most vulnerable to weather-related disasters (with highest labor cost escalation) and (2) analyze how immediate this labor wage escalation happens in different subsector of the construction sector.

The research methodology consists of three steps: (i) integrating various data sources to enable measurement of the county-level labor wage changes following large-scale weather-related disasters; (ii) measuring postdisaster labor wage changes at the county level; and (iii) comparing amount and timing of postdisaster labor wage changes among all sub-sectors (and industry groups) of the construction sector.

The results show that among the three construction subsectors (Heavy and Civil Engineering Construction subsector, Construction of Buildings subsector, and Specialty Trade Contractors sub-sector), Heavy and Civil Engineering Construction subsector is the most vulnerable to weather-related disasters. The industry groups under the Heavy and Civil Engineering Construction subsector showed the same vulnerability level; however, under the Construction of Buildings subsector, Industrial Building Construction industry group showed to be the most vulnerable; and under the Specialty Trade Contractors subsector, the Building Foundation and Exterior Contractors industry group is the most vulnerable. The results also showed that in approximately 75% of the damaged counties, there were increases in wages of all construction labors, over the following three quarter after the disasters. In average, labor wages in Construction of Buildings subsector and the Specialty Trade Contractors subsector decreased by 0.6% and 0.8%, respectively, in the quarter of disaster and gradually increased by 4.4% and 4.6%, respectively, in the following three quarters. On the other hand, Heavy and Civil Engineering Construction’s labor wages did not experience this decrease right after the disasters; wages increased immediately after disasters hit the counties and continually increased by 8.6% in three quarters after the disasters. It is expected that the results of this study will help policy makers, cost estimators and insurers to have a better understanding of the post-disaster construction labor wage fluctuations.

This study is unique in the way it used construction labor wage data. All data are location quotient, which makes the comparison among the affected counties (with different construction size) feasible.

The purpose of this paper is to analyze the competition in the UK construction industry and the key sectors that supply it, thereby identifying the degree of industrial concentration affecting the construction product.

The research is based on Official Statistics giving details of the concentration ratios of 127 industrial sectors in the UK. The quantitative information on concentration is backed up by qualitative data from reports by the Competition Commission and its predecessors plus enquiries from the Office of Fair Trading. This is used to grade each industry and weight the key inputs by their relative importance to obtain an overall picture of competition in construction.

The paper concludes that construction is one of the most competitive sectors in the economy and its input structure is also amongst the least concentrated. This is measured by taking the industrial sectors that supply construction and weighting them in terms of their contribution.

The data used are not totally comprehensive as certain information is withheld because of commercial confidentiality. The sectors concerned, including banking and real estate, might warrant further investigation.

The implications are that construction remains a highly competitive sector and there is little to be gained by regulation other than the work currently being undertaken on collusion in bidding, and on mergers and acquisitions. The key point is to ensure that competitive bidding is free from collusion.

The paper goes beyond most of the existing research in challenging the conventional view that construction has a highly concentrated input structure.

Banking sector reforms can impact the development of the real sector. However, there is very little known about this impact on the construction sector in a developing country context. This study aims to evaluate the impact of the banking sector reform on the construction output (CNS) using the banking sector reform in Nigeria in 2005 (2005 Banking Sector Reform Programme [BSRP]) as a case.

This study used econometric methodology comprising unit root test for stationarity, Johansen test for cointegration, analysis of variance (ANOVA) and the analysis of covariance. Time series data covering a period from 1981 to 2017 (37 years) about the banking and construction sector performances are analyzed using ten-time series equations.

The ANOVA estimates reveal that the 2005 BSRP positively impacted the CNS and construction sector growth rate. However, the ANOVA estimates reveal that the gross domestic product (GDP) and bank total loan had a positive impact on CNS in the period (1981–2017) before and after the 2005 BSRP, and consequently removing the effect of the 2005 BSRP on CNS.

This paper concludes that the banking sector reform has a positive impact on CNS in the Nigerian construction industry. The impact is greater and lasting when the reform is directly targeted at improving CNS.

This study provides empirical evidence of the dependence between banking sector reform and construction sector performance in a developing country context. Also, this study demonstrates the relationship between GDP, banking sector reform and construction sector performance in a developing country context.

This study aims to understand the domino effect on housing and construction sector along the economic dimensions in light of COVID-19 pandemic.

The view point in this paper is written based on the domino effect of various sectors in India. Starting from the macro-economic events through to the micro-economic events, the changes are discussed along the platform of COVID-19. Early literature to support the discussions and a wide range of periodicals to observe the current events are used in arriving at a hypothesis.

The impact in any sector does not happen because of a sole event rather it is consequence of changes and trends that took place in multiple sectors. This paper identifies such changes in the sectors of oil industry, cement manufacturing, housing and construction sector during COVID-19. The paper concludes on confirming the hypothesis with two opinions. One by accepting the principle of domino effect that construction domain had various impacts by other sectors at different levels during pandemic. Another on considering the level of impact, the sector has withstood the impacts in various manners and is growing in extensive directions proving the sector to be resilient.

The paper showcases the impacts of various sectors on construction domain with an insight of most recent trends supported by early literature. The linking of elements is the significance of the paper.

The coronavirus disease (COVID-19) pandemic has negatively affected project management organisations especially those conducting large construction projects that involve a large number of people, complex supply chains, and lack of experience and preliminary arrangements in managing remote work. This study aims to analyse the impact of COVID-19 on the construction sector and how to minimise the effect of pandemic disruptions.

This study is based on the reviews of relevant reports, articles and semi-structured interviews of the construction experts working in the Pakistan construction industry during the current COVID-19 pandemic. The primary data for this study were collected through semi-structured interviews with the construction experts and analysed them using thematic analysis. A total of 15 semi-structured interviews were conducted in this study.

Through thematic analysis, this study identified approximately 55 initial raw data themes, 15 first-order themes, 11 second-order themes and 4 general dimensions of the impact of COVID-19 on the construction sector. The authors identified working style and behavioural changes, challenges and risks, stakeholders and new directions for the construction sector in the post-pandemic world as the four main dimensions of the effect of the pandemic on the construction sector. Further, least digitalisation, complex cash flow, abundance of labour-intensive methods, diverse stakeholders, and dependencies on foreign expertise, imported material and machineries were identified as the most important reasons for poor resiliency of the construction sector during COVID-19 pandemic in Pakistan.

This study major contributions are: (1) analysing the impact of COVID-19 on the construction sector in relation to Pakistan, (2) discussing new directions for the construction sector and (3) putting in place a set of mitigation measures that will help minimise disruptions in construction-related projects to ensure that set objectives are achieved.

Curtailing the adverse environmental impacts of the construction sector is one the major challenges of the twenty-first century. However, despite the significance of this problem, the limited efforts so far to tackle the negative impacts associated with this particular sector have been largely fragmented and disjointed. Given that the net green outcome of a construction project is the sum total of the efforts undertaken at the various supply chain stages (from the initial design to the end-of-life demolition) by different stakeholders, the green supply chain management (GSCM) approach is seen as a way forward toward streamlining the fragmented efforts at greening the sector. This forms the motivation of the present work, and this paper aims to develop, validate and apply a multi-dimensional GSCM framework for the construction sector.

A comprehensive GSCM assessment framework consisting of nine constructs (external and internal drivers; external and internal barriers; core and facilitating GSCM practices; economic, environmental and organizational performance implications) and their underlying factors was developed through an extensive literature review. Using data collected through a structured questionnaire, the framework was validated, and the relevance/appropriateness of each construct and its underlying factors, along with the hypothesized relationships between the constructs, were assessed separately for each supply chain stakeholder.

The findings confirm the validity and reliability of the constructs and their underlying factors as well as the assessment framework. In general, the implementation of green practices has had a positive impact on the environmental, economic and organizational performance for all stakeholders, while the extent of the green practices implemented depends on the relative strength of the drivers and barriers.

This study fills a gap in the literature about applying/implementing GSCM in the construction sector.

The findings provide practitioners, policy makers and organizations associated with the UAE construction sector, as well as the construction sector in general, insight into all key aspects of GSCM.

A comprehensive survey-based assessment of GSCM for the construction sector has not been previously attempted and constitutes the novelty of this work.