Progress: Poverty or Prosperity?

A bstract . Henry George and Alfred Marshall agreed that prosperity —growth in national income —was necessary but not sufficient to eliminate the poverty both believed impeded the mental and moral development of mankind. This inherent optimism in the potential benefits of economic growth was , however, their only common ground. George asserted that as long as land was privately owned, prosperity would increase poverty; and called for the fiscal remedy of a "single tax" to appropriate land rent. Marshall argued that increased poverty was only a temporary concomitant of growth caused by a population that was too big in numbers but too Low in skills; and advocated "taming" competition by education, charity, thrift , and breeding restraint. This study constructs a joined debate on progress and poverty by aligning the arguments of these two influential authors whose different personalities and personal histories precluded any true communication during their lifetimes.     

Business models and the managerial sensemaking process

This study examines the managerial sensemaking process around business models. Drawing on fieldwork, this study introduces a model to describe how managerial sensemaking occurs around business model development and use. This study shows that managerial sensemaking around business models occurs through a mutually co‐constituted process, a separate yet shared process, or a combination of them resulting from an interplay between sensemaking and sensegiving activities. To facilitate their sensemaking around business models, managers draw on several schemas. Over time, some schemas underlying business models remain unchanged, while others change in varying degrees.     

Impact of IFRS in New Zealand on Accounts and Earnings Quality

The impact of the adoption of International Financial Reporting Standards (IFRS) on the accounts and the quality of earnings of New Zealand firms is examined. Our analysis of IFRS adjustments for the last period under pre‐IFRS NZ Generally Accepted Accounting Principles (GAAP) reveals that total assets, total liabilities and net profit were significantly higher under IFRS than under pre‐IFRS GAAP. Profit and equity under IFRS were increased by adjustments for goodwill and other intangibles and investment property, and decreased by adjustments for employee benefits and share‐based payments. Using data for 2002–2009, we find that absolute discretionary accruals were significantly higher under IFRS than under pre‐IFRS NZ GAAP, suggesting lower earnings quality under IFRS than under pre‐IFRS NZ GAAP. However, we find no significant differences in signed discretionary accruals and the ability of earnings to predict one‐year‐ahead cash flows between pre‐IFRS NZ GAAP and IFRS. These results are consistent across alternative measures of accruals quality, sample selection and whether firms elected to adopt IFRS in 2005 rather than comply with them in 2007.     

Human Rights Performance Disclosure by Companies with Operations in High Risk Countries: Evidence from the Australian Minerals Sector

The aim of this study is to explore whether Australian mineral companies operating in high human rights risk countries provide more human rights disclosures than companies operating in low risk countries. A content analysis instrument containing 88 specific human rights performance items derived from a number of international human rights guidelines has been developed to investigate the annual reports, social responsibility reports and corporate websites of the top 50 Australian mineral companies (2010/2011). The findings show that human rights performance disclosures by companies with operations in high human rights risk countries are significantly higher than companies with operations in low risk countries. By disclosing extended human rights performance information, companies operating in high risk countries appear to ease community concerns about human rights violations. The finding is consistent with legitimacy theory, which posits that organisations respond to community concerns in relation to particular social issues.     

An Approach to Security for Unstructured Big Data

Security of Big Data is a huge concern. In a broad sense, Big Data contains two types of data: structured and unstructured. Providing security to unstructured data is more difficult than providing security to structured data. In this paper, we have developed an approach to provide adequate security to unstructured data by considering types of data and their sensitivity levels. We have reviewed the different analytics methods of Big Data to build nodes of different types of data. Each type of data has been classified to provide adequate security and enhance the overhead of the security system. To provide security to a data node, and a security suite has been designed by incorporating different security algorithms. Those security algorithms collectively form a security suite which has been interfaced with the data node. Information on data sensitivity has been collected through a survey. We have shown through several experiments on multiple computer systems with varied configurations that data classification with respect to sensitivity levels enhances the performance of the system. The experimental results show how and in what amount the designed security suite reduces overhead and increases security simultaneously.     

The public R&D and productivity growth in Australia's broadacre agriculture: is there a link?

This paper investigates the dynamic relationships between research and development (R&D) expenditure and productivity growth in Australian broadacre agriculture using aggregate time series data for the period 1953 to 2009. The results show a cointegrating relationship between R&D and productivity growth and a unidirectional causality from R&D to TFP (total factor productivity) growth in Australian broadacre agriculture. Using the dynamic properties of the model, data from beyond the sample period are analysed by employing the variance decomposition and the impulse response function. The findings reveal that R&D can be readily linked to the variation in productivity growth beyond the sample period. Furthermore, the forecasting results indicate that a significant out‐of‐sample relationship exists between public R&D and productivity in broadacre agriculture.     

How training and innovation link to farm performance: a structural equation analysis

The complexity of modern farm management places great demands on the skill, knowledge and capability of farm managers and their families. Keeping abreast of emerging technologies and innovations that can affect each key farm enterprise, and knowing how best to marshal the resources required for profitable farm production, are key tasks of farm management. This study draws on a longitudinal data set of 240 broadacre farmers to compare and analyse their farm performance over a decade. Using structural equation modelling, we examine relationships between the farm family's involvement in training, their human capital, their use of various innovations and ultimately the linkages of these factors to farm financial and productivity performance. Several statistically significant inter‐relationships are found, and some factors are shown to have significant positive links to farm performance. We find that training undertaken by the farm family, the farm family's human capital and their use of innovations, particularly key cropping innovations, have significant beneficial impacts on farm performance. The farmer's skills in time and organisational management, their engagement in business planning and the unique environmental characteristics of the farm also significantly and positively influence farm performance.     

Exploring the widening food gap: an international perspective

Using data for a long panel of 90 developed and developing countries, this article explores the effects of research and development (R&D) and fixed capital stock on agricultural land productivity over the period 1961–2012. Instruments are used for R&D to deal with feedback effects and measurement errors. The results show very high social returns to investment in R&D and to fixed capital stock, suggesting that increasing investment in these factors are promising ways of arresting the increasing food prices due to increasing demand for animal protein, population growth, desertification, salinization, soil erosion, climate change, and decreasing growth in land productivity.     

Knowledge diffusion and agricultural development

Low agricultural productivity remains the primary source of poverty in the developing regions and yet little is known about the influence on agricultural productivity of domestic and international accumulated R&D knowledge and the channels through which this knowledge is transmitted internationally. Following a large scientific literature, this article argues that R&D and R&D knowledge spillover are ecozone‐specific and, therefore, are transmitted internationally through ecozones, where ecozones are the broadest biogeographic division of the earth's land surface. Using data for a panel of 88 countries, it is shown that international knowledge spillovers are ecozone‐specific and have been an important contributing factor behind the marked widening of the income gap between developed and developing countries since 1983.     

Immigration and the unemployment benefit programme in Australia

A widely held view is that immigrants contribute to public debt through their over representation in the unemployment benefit programme. An empirical investigation, based on the 1990 Income Distribution Survey, finds support for this view. In contrast to the US and Canadian studies, this paper observes that the probability of receiving unemployment benefits is higher for immigrants than the native-born population and immigrants, who participate in the unemployment benefit programme, also receive a greater amount of unemployment benefits.