The cost of diabetes and obesity in Australia

Aims: To assess and compare the direct healthcare and non-healthcare costs and government subsidies by body weight and diabetes status.

Methods: The Australian Diabetes, Obesity and Lifestyle study collected health service utilization and health-related expenditure data at the 2011–2012 follow-up surveys. Costing data were available for 4,409 participants. Unit costs for 2016–2017 were used where available or were otherwise inflated to 2016–2017 dollars. Age- and sex-adjusted costs per person were estimated using generalized linear models.

Results: The annual total direct cost ranged from $1,998 per person with normal weight to $2,501 per person with obesity in participants without diabetes. For those with diabetes, total direct costs were $2,353 per person with normal weight, $3,263 per person with overweight, and $3,131 per person with obesity. Additional expenditure as government subsidies ranged from $5,649 per person with normal weight and no diabetes to $8,085 per person with overweight and diabetes. In general, direct costs and government subsidies were higher for overweight and obesity compared to normal weight, regardless of diabetes status, but were more noticeable in the diabetes sub-group. The annual total excess cost compared with normal weight people without diabetes was 26% for obesity alone and 46% for those with obesity and diabetes.

Limitations: Participants included in this study represented a healthier cohort than the Australian population. The relatively small sample of people with both obesity and diabetes prevented a more detailed analysis by obesity class.

Conclusion: Overweight and obesity are associated with increased costs, which are further increased in individuals who also have diabetes. Interventions to prevent overweight and obesity or reduce weight in people who are overweight or obese, and prevent diabetes, should reduce the financial burden.     

Beyond the agroecological and sustainable agricultural intensification debate: Is blended sustainability the way forward?

With the sustainable development goals has come a renewed global interest in ending hunger and achieving food security, while preventing natural resource degradation. Despite this renewed interest and increased commitments to invest in agricultural development, there is an outstanding debate over the technological trajectories to sustainability. The debate centres on sustainable agricultural intensification (SAI) and agroecological intensification (AEI) pathways to agricultural sustainability. Using a systematic literature review approach, this study examines the debate over AEI and SAI. This study employs a theoretical framework based on the economic, social, and ecological dimensions of sustainable agriculture within a policy and institutional space. Based on the sustainability dimensions, a discourse analytical technique is applied to unravel the debate. The results reveal differences in actor composition in the SAI and AEI pathways. Both pathways aim to promote food security with optimal and sustainable use of inputs; however, the actors differ on discourse relating to the concept of farming, the role of genetic engineering, the scale of operation, land use and soil health. Resolving these differences requires a blended sustainability approach that moves beyond the current AEI and SAI debate by acknowledging the tradeoffs and synergies of the socio-economic and ecological dimensions.     

Small Area Estimation for Disease Prevalence Mapping

Small area estimation (SAE) entails estimating characteristics of interest for domains, often geographical areas, in which there may be few or no samples available. SAE has a long history and a wide variety of methods have been suggested, from a bewildering range of philosophical standpoints. We describe design-based and model-based approaches and models that are specified at the area level and at the unit level, focusing on health applications and fully Bayesian spatial models. The use of auxiliary information is a key ingredient for successful inference when response data are sparse, and we discuss a number of approaches that allow the inclusion of covariate data. SAE for HIV prevalence, using data collected from a Demographic Health Survey in Malawi in 2015–2016, is used to illustrate a number of techniques. The potential use of SAE techniques for outcomes related to coronavirus disease 2019 is discussed.     

Climate change adaptation actions by fish farmers: evidence from the Niger Delta Region of Nigeria

This paper examined climate change adaptation strategies in fish farming and the effect of such methods on the profit of fish farmers in the Niger Delta region of Nigeria, Africa’s most populous country. Using cross‐sectional data obtained from 420 fish farmers from the region and applying multivariate probit and instrumental variable regressions, the study found that fish farmers have adopted a broad range of strategies to address climate risk and that these have significantly increased farmers’ profit. Our findings indicated important relationships between certain farm, socio‐economic and institutional characteristics and the adaptation actions. The study provides useful insight into factors that potentially encourage the adoption of livelihood‐enhancing climate risk adaptation strategies by fish farmers in the Niger Delta region and similar contexts.     

Packs,Troops and Herds: Prosocial Cooperatives and Innovation in the New Normal

Prosocial organizations are emerging to tackle the effects of a New Normal. As they navigate its fragile and liquid institutional membranes, they prioritize cooperative forms of governance. These forms allow for collaboration and democratic decision-making necessary for the development of innovative solutions in this new context. At the same time, the high coordination costs of cooperatives lead to significant market pressures. Therefore, understanding when and under what conditions these new cooperatives innovate and strive is important as it provides insight into whether and how these ventures can become a viable alternative in this changing landscape. Using configurational analyses of organizational enablers leading to innovation in 40 entrepreneurial cooperatives, we identify three approaches: Attentive Pack, Eclectic Troop, and Wandering Herd, showing that innovative outcomes can indeed emerge under traditional cooperative features emphasizing collectivism. However, the pursuit of higher novelty requires a shift to more individualistic, business-as-usual, approaches. The New Normal does indeed enhance entrepreneurial activity, but of a different kind comprising novel sets of antecedents and outcomes, which we show can easily become the new dominant form of venturing required in this new context.     

Heterogeneous private sector information,central bank disclosure,and stabilization policy

Conventional wisdom has it that a central bank that uses an informational advantage to undertake active policy intervention can do as well, at least so far as real outcomes are concerned, by making its information publicly available and abstaining from stabilization. This notion is examined using a framework incorporating heterogeneous private sector information concerning aggregate demand shocks. An activist regime, in which the central bank exploits its own information to engage in stabilization, is found to be unambiguously superior to a noninterventionist regime, where the central bank maintains a constant setting of policy but publicly discloses its own information.     

Creating a multilayered representational ‘package’ for subcontracted workers: the case of cleaners at Ben‐Gurion University

Research into the organising of subcontracted workers tends to focus on how such campaigns contribute to union revitalisation, the shortcomings of non‐union organisations in comparison with classic unionism and opposition rather than complementarity between strategies. Analysing the organising of subcontracted cleaners at a university, this article shifts this focus, evaluating the campaign in terms of how it assisted the workers, regardless of whether it contributed to union renewal, and in terms of complementarity between new and traditional industrial relations actors. Drawing on the power resources approach, it asserts that collaboration across different ‘paths to representation’ can create a multilayered representational ‘package’ in which different organisations with different power resources take on different aspects of what was once a (single) union's role, covering each other's shortcomings in a kind of de facto representational ‘division of labour’.     

Non-rating revenue and conflicts of interest

Rating agencies produce ratings used by investors, but obtain most of their revenue from issuers, leading to a conflict of interest. We employ a unique data set on the use of non-rating services, and the associated payments, in India, to test if this conflict affects ratings quality. Agencies rate issuers that pay them for non-rating services higher (than agencies not hired for such services). Such issuers also have higher default rates. Both effects are increasing in the amount paid. These results suggest that issuers which hire agencies for non-rating services receive higher ratings despite having higher default risk.     

Inequality and entrepreneurial thresholds

We explore the relationship between inequality and entrepreneurial activity. Drawing on cross-sectional data from a largescale survey of the economic conditions of individuals across India, we develop a number of dimensions of inequality to explore empirically how inequality interacts with entrepreneurship, operationalized as self-employment or as employing other people. We find compelling evidence that there are thresholds to becoming self-employed, and even more so to assembling the combinations of resources and personal attributes required to become an employer. Greater inequality leaves more people unable to make the transition to self-employment, leaving casual laboring as the occupation of necessity. At the same time, inequality increases the number of employers in a society, by concentrating resources - particularly land and finance - enough for significant numbers of people to be able to cross this higher threshold. Lastly, greater differentiation into social or religious groups curtails the ability to cross either entrepreneurial threshold, presumably by limiting the extent and benefits of social networks of value for entrepreneurship.     

Does ethics improve stock market resilience in times of instability?

This paper compares the resilience of ethical (Islamic and socially responsible) indexes among five developed (US, UK, Japan, Canada, Australia) and three emerging markets (Brazil, India, South Africa) during the period following the 2008 subprime crisis. It relies on a multivariate CAPM-EGARCH model that accounts for sudden changes in volatility through the application of an iterated cumulative sums of squares (ICSS) algorithm on daily data over the sample period 2008–2014 to model time-varying volatility and ensure reliable estimates. The study confirms the lower systemic risk associated with Islamic indexes during the bearish period and reports that SRI, despite being more subject to systemic risk, offered higher alphas in highly integrated markets, while Islamic indexes performed better in less integrated ones. The evidence also reveals a very limited increase in the models’ predictability power from the integration of sudden changes in volatility into the EGARCH models during the full sample period. This limit is more marked during the bearish sub-period. Our findings have important implications for international investment and portfolio diversification perspectives in times of financial downturn.