| Literature DB >> 30524212 |
Anders Isaksson1, Henrik Linderoth2.
Abstract
Despite increasing evidence that being an environment-friendly company not only benefits the environment but also makes long-term economic sense, the transition to a more sustainable society is extremely slow. This is true of the building and construction industry as well. At a strategic level, environmental issues have received more attention with the establishment of roles such as environmental managers and implementation of advanced environmental management systems. However, adoption has been slow in the absence of a holistic approach to environmental challenges, partly reinforced by a perception that giving more than the legally required level of environmental consideration will only add to costs without corresponding financial benefits. This raises the following question that the study aims to answer: What is the most important factor influencing decision makers' in adopting environmental considerations? To this end, it analysed questionnaire data collected from decision makers in the Swedish construction industry along with an in-depth case study of a specific building and construction company. The results show that decision makers perceive informational and institutional constraints on the adoption of environmental considerations. Lack of information is perceived as the biggest obstacle to environmental considerations. If information and knowledge about clients' and end users' financial benefits from adopting environmental considerations need to be exploited, they have to be supported by contractual forms that discard a short-term focus on the investment costs of a building in favour of a focus on long-term operational and maintenance costs and benefits.Entities:
Keywords: Building and construction industry; Decision making; Environmental considerations; Sustainability; Sweden
Year: 2018 PMID: 30524212 PMCID: PMC6244881 DOI: 10.1007/s10901-017-9588-8
Source DB: PubMed Journal: J Hous Built Environ ISSN: 1566-4910
Number of respondents in occupational groups and age of respondents
| Position | Number | % | % Distribution per age group | ||
|---|---|---|---|---|---|
| –30 | 31–50 | 51– | |||
| Off-site manager | 42 | 14.1 | 4.8 | 40.5 | 54.8 |
| Site manager | 100 | 33.7 | 7.8 | 46.1 | 46.1 |
| Supervisor | 62 | 20.9 | 23.4 | 35.9 | 40.6 |
| Estimator/planner | 45 | 15.2 | 14.3 | 36.7 | 49.0 |
| Purchaser | 20 | 6.7 | 24.0 | 40.0 | 36.0 |
| Design | 13 | 4.4 | 42.1 | 31.6 | 26.3 |
| Accounting/finance | 3 | 1.0 | 70.0 | 20.0 | 10.0 |
| Other | 12 | 4.0 | 50.0 | 35.0 | 15.0 |
| Total | 297 | 100 | 19.0 | 39.3 | 41.7 |
Perceptions of importance of factors affecting the choice of materials and products
| Statement |
| Mean | Min | Max | SD | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|---|---|---|---|
| 1. When we choose materials and products, | 296 | 4.37 | 1 | 6 | 1.10 | 1 | ||||
| 2. When we choose materials and products, | 296 | 4.35 | 1 | 6 | 1.30 | 0.588** | 1 | |||
| 3. When we choose materials and products, impacts on the | 295 | 4.13 | 1 | 6 | 1.18 | 0.699** | 0.462** | 1 | ||
| 4. When we choose materials and products, | 297 | 4.09 | 1 | 6 | 1.29 | 0.058 | − 0.067 | − 0.009 | 1 | |
| 5. When we choose materials and products, | 296 | 3.86 | 1 | 6 | 1.30 | 0.711** | 0.562** | 0.801** | − 0.080 | 1 |
Statements on a scale of 1: totally disagree and 6: totally agree. Columns 1–5 show the Pearson product–moment correlation coefficient. ** Correlation is significant at the 0.01 level (2-tailed)
Perceptions of importance of factors affecting the choice of production methods
| Statement |
| Mean | Min | Max | SD | 1 | 2 | 3 | 4 |
|---|---|---|---|---|---|---|---|---|---|
| 1. When we choose production methods, cost is the most important factor for our decision | 295 | 4.97 | 1 | 6 | 0.99 | 1 | 0.212** | 0.151** | 0.148* |
| 2. When we choose production methods, quality is the most important factor for our decision | 296 | 4.60 | 1 | 6 | 0.99 | 0.212** | 1 | 0.660** | 0.616** |
| 3. When we choose production methods, work environment is the most important factor for our decision | 297 | 4.52 | 1 | 6 | 1.09 | 0.151** | 0.660** | 1 | 0.750** |
| 4. When we choose production methods, environmental impact is the most important factor for our decision | 294 | 4.00 | 1 | 6 | 1.20 | 0.148* | 0.616** | 0.750** | 1 |
Statements on a scale of 1: totally disagree and 6: totally agree. Columns 1–4 show the Pearson product–moment correlation coefficient. ** is significant at the 0.01 level and * at the 0.05 level (2-tailed)
Perceptions of how increased demand for environmental considerations impacts building and construction projects in general
| Statement |
| Mean | Min | Max | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1. An environmental friendly product creates goodwill for the company | 294 | 4.36 | 1 | 5 | 0.85 | 1 | ||||||
| 2. An environmental friendly product is beneficial for the end consumer | 292 | 4.05 | 1 | 5 | 0.93 | 0.425** | 1 | |||||
| 3. Increased environmental consideration leads to higher costs | 292 | 3.35 | 1 | 5 | 1.01 | − 0.038 | − 0.112 | 1 | ||||
| 4. Increased environmental consideration leads to higher time consumption | 294 | 3.03 | 1 | 5 | 0.99 | − 0.121* | − 0.009 | 0.386** | 1 | |||
| 5. We often lack the knowledge to make environmentally friendly choices | 296 | 2.86 | 1 | 5 | 1.06 | − 0.030 | 0.071 | 0.269** | 0.186** | 1 | ||
| 6. Increased environmental consideration leads to lower costs | 292 | 2.50 | 1 | 5 | 0.88 | 0.110 | 0.164** | − 0.481** | − 0.115 | 0.048 | 1 | |
| 7. Increased environmental consideration leads to lower quality | 296 | 2.31 | 1 | 5 | 1.00 | − 0.149* | − 0.227** | 0.314** | 0.336** | 0.156** | − 0.049 | 1 |
Statements on a scale of 1: totally disagree and 5: totally agree. Columns 1–7 show the Pearson product–moment correlation coefficient. ** is significant at the 0.01 level and * at the 0.05 level (2-tailed)
Perceived obstacles to adopting environmental considerations when making decisions
| Statement |
| Mean | Min | Max | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1. | 295 | 2.91 | 1 | 4 | 0.73 | 1 | ||||||
| 2. The | 295 | 2.80 | 1 | 4 | 0.812 | 0.224** | 1 | |||||
| 3 | 293 | 2.66 | 1 | 4 | 0.848 | 0.405** | 0.318** | 1 | ||||
| 4. The | 293 | 2.49 | 1 | 4 | 0.842 | 0.091 | 0.524** | 0.267** | 1 | |||
| 5. The | 294 | 2.28 | 1 | 4 | 0.804 | 0.233** | 0.465** | 0.387** | 0.285** | |||
| 6. | 280 | 2.00 | 1 | 4 | 0.645 | 0.053 | 0.193** | 0.097 | 0.190** | 0.233** | 1 | |
| 7. | 289 | 1.72 | 1 | 4 | 0.679 | 0.084 | 0.211** | 0.150* | 0.104 | 0.256** | 0.417** | 1 |
Statements on a scale of (1) no obstacle, (2) minor obstacle, (3) almost a major obstacle, and (4) a major obstacle. Columns 1–7 show the Pearson product–moment correlation coefficient. ** is significant at the 0.01 level and * at the 0.05 level (2-tailed)