Identifying attributes contributing to environmental sustainability of public-private partnership infrastructure projects

Due to increasing demands for new infrastructure and an aim to reduce initial public investment, Australian government agencies are increasingly using public-private partnerships (PPPs) as a form of delivery for infrastructure projects. Environmentally, there is growing pressure for the building industry in general to become more sustainable. Moreover, as the built environment continues to grow each year, the performance of buildings as a whole will need to continually improve purely for national energy consumption to remain stable. Based on a systematic and extensive review on relevant literature, this paper has identified the key attributes that will influence the environmental sustainability of infrastructure completed through a PPP. The key attributes are grouped into five groups defined by whom or what has the majority of control over the attribute. Meanwhile, the key attributes are explored and their influence on environmental sustainability justified. This paper was able to not only identify significant factors involved in creating environmental sustainability in infrastructure PPPs, but also trends of the key attributes. It has been found that (1) the longevity of the contract in a PPP project allows greater innovation into environmental sustainability than traditional methods of procurement, (2) innovation is a requirement for the improving upon environmental performance in the built environment, (3) improvements to environmental sustainability relies upon a positive relationship between economic and environmental benefits, and (4) the key attributes for PPP projects are decided upon relatively early in the contract. Due to space limit, detailed discussion on each of the identified attributes is not provided in this paper. Nonetheless, further research direction is discussed.

Variation in the whiteness and brightness of mohair associated with farm, season, and mohair attributes

This work aimed to quantify factors affecting the reflectance attributes of Australian white mohair sourced from five different farms and to evaluate the effect of season and year on mohair grown by goats of known genetic origin in a replicated study. For the season study the mohair was harvested every three months for two years. All goats and their fleeces were weighed. Mid-side samples were tested for fibre diameter attributes, clean washing yield (CWY), staple length (SL) and for tristimulus values X, Y, Z and Y-Z. For the farm study (n = 196), linear models, relating Y, Z and Y-Z were fitted to farm of origin and other objective measurements. For the season and year study (n = 176), data were analysed by ANOVA and then by linear analysis. The variation accounted for by farm alone was: X, 22%; Y, 24%; Z, 12%; Y-Z, 30% (P < 0.001). Once farm had been taken into account, the regression models for X, Y and Z had similar significant terms: mean fibre diameter (MFD), CWY, SL and fibre diameter CV; and correlation coefficients (057–0.65). For Y-Z, in addition to farm only MFD was significant (P = 1.8 × 10−9). While X, Y, Z and Y-Z were significantly associated with clean fleece weight (CFwt), CFwt was not significant in any final model. Season affected mohair Y (P = 2.5 × 10−24), Z (P = 2.3 × 10−20) and Y-Z (P = 6.8 × 10−22). Autumn grown mohair had higher Y and Z, and summer grown mohair had lower Z than mohair grown in other seasons. This resulted in summer grown mohair having the highest Y-Z and winter grown mohair having the lowest Y-Z than mohair grown in other seasons. The differences between years in Y, Z and Y-Z were significant but not large. When Y, Z and Y-Z were modeled with season and other mohair attributes, MFD, CWY, CFwt, incidence of medullated fibre (Med) and sire were also significant terms. This model accounted for 62.1% of the variance. Over the range of Med (0.3–4.2%), Y-Z increased by 11 T units. Increasing CFwt 0.5 kg was associated with a decline in Y-Z of 7.5 T units. The variation in Y, Z and Y-Z associated with sire effects were respectively 2.66, 3.77, and 1.04 T units. In the farm and the season studies increasing MFD was associated with lower Y and Z and higher Y-Z. The extent of the differences in tristimulus values between seasons and years, were unlikely to be of commercial importance. The extent of the differences between farms, and to variations in MFD and Med were large enough to be of commercial importance. Clean mohair colour was artefactually biased by MFD.

Effect of fibre, yarn and knitted fabric attributes associated with wool comfort properties

In this replicated experiment, we investigated the comfort properties of single jersey fabrics composed of cashmere in blends with superfine wools of different fibre curvature (crimp) where the fibre diameter of the wool and cashmere were tightly controlled. The 81 fabrics were evaluated using the Wool ComfortMeter (WCM) which has been calibrated using wearer trials of wool knitwear. General linear modelling determined the best prediction models for log10 transformed fabric WCM values using 27 fibre, 16 yarn and 30 fabric attributes. Tighter fabrics were less comfortable. Progressively blending cashmere with wool progressively increased comfort assessment. The WCM was able to detect differences between fabrics which were more supple and springy, thinner and lighter, and were composed of more elastic, uniform and stronger yarns. Together these attributes explained 82% of the variance in WCM value.

Factors associated with attributes of internal audit departments : a canonical analysis

This study explores internal audit (IA) practices in selected Ethiopian organizations to identify factors associated with attributes of IA departments. Analytical questionnaire survey responses of 188 IA directors and staff from Ethiopian government ministries, state-owned enterprises and private companies were used. Canonical analysis results show that IA proficiency, scope of IA work and quality of IA planning and execution are higher in organizations where organizational policy authorizing IA is clearly defined, organizational risk exposure is high and internal audit's linkage with external audit is strong. The findings suggest that in organizations that are exposed to high risk, management tends to appreciate IA's assistance in managing risk and thus strengthens IA. Results also suggest the importance of internal and external audit linkages and IA charter (or similar organizational policy) to strengthen IA. The study provides further evidence of differences in IA attributes between public and private sector entities.