Sibling influence on the human capital of the left-behind

While a growing literature has analyzed the effects of parental migration on the educational outcomes of children left behind, this study is the first to highlight the importance of sibling interactions in such a context. Using panel data from the RUMiC Survey, we find that sibling influence on school performance is stronger among left- behind children. Hence, parental migration seems to trigger changes in familial roles and sibling effects among children. However, it is primarily older sisters who exhibit a positive influence on their younger siblings. We corroborate our results by performing a series of tests to mitigate endogeneity issues. The results from the analysis suggest that sibling effects in migrant households might be a mechanism shaping children’s outcomes and success and that adjustments within the family left behind have the potential to generate benefits – or reduce hardships – in response to parental migration.

Natural disasters, economic growth and sustainable development in China: an empirical study using provincial panel data

Using a newly developed integrated indicator system with entropy weighting, we analyzed the panel data of 577 recorded disasters in 30 provinces of China from 1985–2011 to identify their links with the subsequent economic growth. Meteorological disasters promote economic growth through human capital instead of physical capital. Geological disasters did not trigger local economic growth from 1999–2011. Generally, natural disasters overall had no significant impact on economic growth from 1985–1998. Thus, human capital reinvestment should be the aim in managing recoveries, and it should be used to regenerate the local economy based on long-term sustainable development.

Agricultural innovations at a Late Iron Age oppidum: archaeobotanical evidence for flax, food and fodder from Calleva Atrebatum, UK

The development of oppida in the late first millennium BC across north-western Europe represents a major change in settlement form and social organisation. The construction of extensive earthwork systems, the presence of nucleated settlement areas, long-distance trade links and the development of hierarchical societies have been evidenced. These imply that changes in the style and organisation of agriculture would have been required to support these proto-urban population centres. Hypotheses of the subsistence bases of these settlements, ranging from a reliance on surplus arable production from local rural settlements, to an emphasis on pastoral activities, are here reviewed and grounded against a wider understanding of the expansion of agriculture in the Late Iron Age. These agricultural models have not been previously evaluated. This paper presents archaeobotanical data from six well fills from large-scale excavations at Late Iron Age and Early Roman Silchester, a Late Iron Age territorial oppidum and subsequent Roman civitas capital located in central-southern Britain. This is the first large-scale study of waterlogged plant macrofossils from within a settlement area of an oppidum. Waterlogged plant macrofossils were studied from a series of wells within the settlement. An assessment of taphonomy, considering stratigraphic and contextual information, is reported, followed by an analysis of the diverse assemblages of the plant remains through univariate analysis. Key results evidence animal stabling, flax cultivation, hay meadow management and the use of heathland resources. The staple crops cultivated and consumed at Late Iron Age and Early Roman Silchester are consistent with those cultivated in the wider region, whilst a range of imported fruits and flavourings were also present. The adoption of new oil crops and new grassland management shows that agricultural innovations were associated with foddering for animals rather than providing food for the proto-urban population. The evidence from Silchester is compared with other archaeobotanical datasets from oppida in Europe in order to identify key trends in agricultural change.

What determines the use of capital budgeting methods? : Evidence from Swedish listed companies

Purpose: This paper aims to extend and contribute to prior research on the association between company characteristics and choice of capital budgeting methods (CBMs). Design/methodology/approach: A multivariate regression analysis on questionnaire data from 2005 and 2008 is used to study which factors determine the choice of CBMs in Swedish listed companies. Findings: Our results supported hypotheses that Swedish listed companies have become more sophisticated over the years (or at least less unsophisticated) which indicates a closing of the theory-practice gap; that companies with greater leverage used payback more often; and that companies with stricter debt targets and less management ownership employed accounting rate of return more frequent. Moreover, larger companies used CBMs more often. Originality/value: The paper contributes to prior research within this field by being the first Swedish study to examine the association between use of CBMs and as many as twelve independent variables, including changes over time, by using multivariate regression analysis. The results are compared to a US and a continental European study.

Risk analysis in cost planning and its effect on efficiency in capital cost budgeting

Builds on earlier work which reported on the experience of the Hong Kong Government in using risk analysis techniques in capital cost estimating. In 1993 the Hong Kong Government implemented a methodology for capital cost estimating using risk analysis (ERA) in its public works planning. This calculated amount replaces the pre-1993 contingency allowance, which was merely a percentage addition on top of the base estimate of a project. Adopts a team approach to identify, classify and cost the uncertainties associated with a project. The sum of the average risk allowance for the identified risk events thus becomes the contingency. A study of the effect of ERA was carried out to compare the variability and consistency of the contingency estimates between non-ERA and ERA projects. The preliminary results of a survey showed a highly significant difference in variation and consistency between these groups. This analysis indicates the successful use of the ERA method for public works projects to reduce unnecessary and  exaggerated allowance for risk. However, the contingency allowance for ERA projects was also considered high. Adds data from the UK with descriptions of 41 private sector projects which fall into the non-ERA category and reflect better performance in the determining of contingency allowances.

Using environmental interventions to create sustainable solutions to problems to health and wellbeing

Recent research by Deakin University, in collaboration with Parks Victoria and its Strategic Partners, indicates that contact with nature may promote human health and wellbeing. International research indicates that simply viewing a natural scene or watching wildlife reduces stress and tension, improves concentration, remedies mental fatigue, boosts immunity, and enhances psychological health. This is aside from any physical health benefits flowing from reduced stress, increased exercise and improved air quality when contact with nature involves activities in natural environments. The literature suggests that interacting with nature through gardening or having a companion animal is also beneficial for health, and where these activities involve contact with other humans, might extend benefits beyond the individual to the community, through enhanced social capital. This paper sets out the potential scope of work flowing from the initial research, in terms of target groups, research foci, intervention strategies, and likely benefits, and reports on progress in establishing a program of Australian,based empirical research. It proposes the establishment of alliances between researchers and practitioners in a range of disciplines (including environmental health) to ensure that the links between contact with nature and human health and wellbeing are explored and expressed in ways that are both beneficial and sustainable.

Modeling a just-in-time plant using sequencing algorithms

An Australian automotive component company plans to assemble and deliver seats to customer on just-in-time basis. The company management has decided to model operations of the seat plant to help them make decisions on capital investment and labour requirements. There are four different areas in seat assembly and delivery areas. Each area is modeled independently to optimise its operations. All four areas are then combined into one model called the plant model to model operations of seat plant from assembly to delivery. Discrete event simulation software is used to model the assembly operations of seat plant.

Predicting consumer innovative behavior using alternative theories and likelihood measures: a longitudinal study

This paper reports on a longitudinal study of consumers, where two dominant theories that purport to predict innovative behavior are applied and compared directly, using a methodology suggested as ideal by past researchers. Predictions made prior to launch were then evaluated against multiple measures of purchase likelihood, and against actual adoption behavior up to 12 months after launch. The results of this study suggest that perceptions of the innovations characteristics (PIC) predicted the selfreported likelihood of adoption better than the Domain Specific Innovativeness (DSI) scale, a personality-based measure. Prediction of actual adoption was largely inaccurate and both theories massively over predicted adoption levels, however the DSI scale was slightly more accurate. The conclusions here are that no one theory could make adequate predictions of behavior, that purchase likelihood measures are a poor substitute for measuring actual behavior but that purchase probability scales should be used more often in adoption research.

Housing price diffusion pattern of Australia's state capital cities

The ripple effect of house prices within metropolitan areas has recently been recognised by researchers. However, it is very difficult to formulate and measure this effect using conventional house price theories particularly in consideration of the spatial locations of cities. Based on econometrics principles of the cointegration test and the error correction model, this research develops an innovative approach to quantitatively examine the diffusion patterns of house prices in mega-cities of a country. Taking Australia's eight capital cities as an example, the proposed approach is validated in terms of an empirical study. The results show that a 1-1-2-4 diffusion pattern exists within these cities. Sydney is on the top tier with Melbourne in the second; Perth and Adelaide are in the third level and the other four cities lie on the bottom. This research may be applied to predict the regional housing market behavior in a country.

Extending construction linkage measures by the consideration of the impact of capital

Construction linkage is a well-established research field. However, a significant limitation in previous linkage research is that the flow of capital goods is not addressed. Using the OECD input-output tables, this research first generates a new input-output model considering capital as an intermediate factor. Using the new model, the construction linkages are recalculated and investigated in order to evaluate further the role of construction in national economies. The findings verify that traditional construction linkages were extremely underestimated in previous research. Furthermore, the effect of capital on construction shows a declining trend over the examined period. After considering the effect of capital, most values and rankings of backward and forward linkages show a decreasing trend, which confirms the declining role of the construction sector with economic maturity.

Linkage measures of the real estate sector considering the effect of capital

A significant limitation in previous linkage relevant research is that the flow of capital goods is not addressed. Using the OECD input-output tables, this research first generates a new input-output model considering capital as an intermediate factor. Using the new model, the real estate linkages are re-calculated and investigated in order to evaluate appropriately the impact of the real estate sector on national economies. The findings verify that the linkages of the real estate sector were extremely underestimated in previous research. A correct linkage measure of the real estate sector can contribute to produce correct information corresponding to the sectors responsible for the economic growth during the period under study and provide substantial contributions towards guiding the appropriate strategies for future economic development.

Prevalence of genital human papillomavirus DNA in a sample of senior school-aged women in the Australian Capital Territory

Background: A strong association between persistent infection with oncogenic types of human papillomavirus (HPV) and cervical cancer is well established. Small numbers of international studies examining adolescent HPV infection and the risk factors associated are published, but there is currently no evidence on the prevalence and risk factors for HPV in an Australian, sexually active female adolescent population. Methods: To provide prevalence and risk factors for HPV in a female sexually active, senior high school population in the Australian Capital Territory (ACT), a convenience sample of 161, 16–19-year-old females attending a senior high school was evaluated. The sample formed part of a larger sample recruited for a study of sexually transmitted infections and blood-borne viruses in senior high school students. A clinical record was used to collect information about sexual and other risk behaviours, while self-collected vaginal swabs were tested for HPV DNA detection and genotyping using polymerase chain reaction. Results: The prevalence of HPV DNA in this sample overall was 11.2%, with multiple genotypes in 38%. No statistically significant associations were found between HPV DNA and the number of male partners, age of coitarche, time since first sexually active, condom use, smoking or alcohol intake. Conclusions: This is the first Australian study that has examined the prevalence and risk factors for genital HPV in this demographic group. The prevalence of HPV infection is slightly lower than reported in similar age groups overseas and is lower than other Australian studies in older women and those attending sexual health centres. Of HPV-positive young women, high-risk genotypes were found in over half, with more than one-third of HPV existing as multiple genotypes. Large community-based prevalence studies are needed to guide the development of recommendations for the vaccination of young women against HPV and to support other health promotion initiatives.

Housing price diffusion pattern of Australia's state capital cities

The ripple effect of house prices within metropolitan areas has recently been recognised by researchers. However, it is very difficult to formulate and measure this effect using conventional house price theories particularly in consideration of the spatial locations of cities. Based on econometrics principles of the cointegration test and the error correction model, this research develops an innovative approach to quantitatively examine the diffusion patterns of house prices in mega-cities of a country. Taking Australia's eight capital cities as an example, the proposed approach is validated in terms of an empirical study. The results show that a 1-1-2-4 diffusion pattern exists within these cities. Sydney is on the top tier with Melbourne in the second; Perth and Adelaide are in the third level and the other four cities lie on the bottom. This research may be applied to predict the regional housing market behavior in a country.

Revisiting capital structure theory : a test of pecking order and static order trade-of model from Malaysian capital market

This study revisits the capital structure theory and test Pecking Order Hypothesis (POH) and Static Order Trade-off theory (STOT) using Malaysian Listed firms over a period from 1999 to 2002. The evidence from pecking order model suggests that the internal fund deficiency is the most important determinant that possibly explains the issuance of new debt in Malaysian capital market despite the lower predicting power.  While static trade off-model is not fit to explain the issuance of new debt issue in Malaysian capital market. This is an interesting findings that confirm the fact that Malaysian firms do not too much care about tax-shield benefit derive from employ both debt and non-debt tax-shield. The finn's size, which is used to neutralize the size effect, appears to provide some explanation for the variation in its capital structure policy choice; however asset structure and growth no evidence of static-order-trade-off is observed in Malaysian capital market.