Nabi, M A; El-Adaway, I H and Assaad, R H (2024) Modeling inflation transmission among different construction materials. Journal of Construction Engineering and Management, 150(5): 04024024, ISSN 0733-9364
Abstract
Cost estimating in the construction industry is challenging due to the high uncertainty associated with the supply chain, especially after the COVID-19 pandemic. Some research studies have addressed such problems by developing models that predict material cost. In fact, all material can be interconnected and interrelated with lead-lag relationships such that any inflation in one material's price can be associated with inflation in other materials' prices, referred to as transmission of inflation. Despite the latter, none of the existing studies have investigated inflation transmission among all construction materials. This paper fills this knowledge gap. The authors used a multistep research methodology. First, Producer Price Index (PPI) data for 16 construction materials were collected and sorted. Second, the vector autoregression technique was used to model the relationships between each pair of material and subsequently validate the associations using the Granger causality test. Third, network analysis was performed to identify the inflation transmission capacity (out-degree centrality), inflation susceptibility (in-degree centrality), and inflation intermediatory capacity (betweenness centrality) for each material. Finally, modularity-based clustering was conducted to categorize the materials based on their price indices' interconnections and examine inflation transmission path among different sectors of construction-related material. The results show that metals and plastic products are generally the highest transmitters of inflation to other construction material including “Fabricated structural metal products” and “Plastic construction products.” Furthermore, the results show that “Concrete products, ” “Flat glass, ” “Brick and structural clay tile, ” and “Architectural coatings” are also high transmitters of inflation and thus can be key indicators of increase in the overall construction cost. This paper provides the industry stakeholders with leading indicators and early warning signs for the inflated material prices. Contractors and owners can utilize those warning signs to enhance their procurement plans and budgeting decisions.
| Item Type: | Article |
|---|---|
| Index terms: | pandemic, network analysis, construction cost, owner, plastic, construction material, research methodology, key indicator, clustering, modelling, construction industry, metal, Granger causality test, COVID-19, cost estimating, modularity, coating, early warning, budgeting, inflation, construction product |
| Subjects: | traditional and composite building materials, factor and component analysis, health risk and incident analysis, financial management, financial risk, sociology, industry analysis, design flexibility, research design and methodology, materials science, building materials, economic analysis, project delivery, financial and cost management, analytical methods, data analysis and analytics, data science |
| Topics: | Design Practice, Digital Applications, Project Management, Research Practice, Construction Materials, Engineering Principles, Cost Management, Business Strategy, Health and Safety, Stakeholder Management |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here