109 research outputs found

    Income Inequality and Health: A Multi-Country Analysis

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    This paper investigates the effect of income inequality on health status. A model of health status was specified in which the main variables were income level, income inequality, the level of savings and the level of education. The model was estimated using a panel data set for 44 countries covering six time periods. The results indicate that income inequality (measured by the Gini coefficient) has a significant effect on health status when we control for the levels of income, savings and education. The relationship is consistent regardless of the specification of health status and income. Thus, the study results provide some empirical support for the income inequality hypothesis

    Factors affecting the adoption of soil conservation measures: A case study of Fijian cane farmers

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    This study explores the extent to which various factors affect Fijian cane farmers' adoption of soil conservation measures. The significant factors affecting perception of the soil erosion problem include age, education, ethnicity, and extension services. On the other hand, the significant factors affecting soil conservation effort include perception of the erosion problem, net farm income, farm size, land type, and extension services. In general, personal characteristics appear to affect perceptions of soil erosion while the extent of conservation effort is affected by economic and physical factors. The resulting implications for soil conservation policy are discussed

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    How Useful Is The Genuine Savings Rate As A Macroeconomic Sustainability Indicator For Countries And Regions? Australia And Queensland Compared

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    This paper demonstrates how macroeconomic indicators of sustainable development can be applied to the Queensland economy. We derive a Genuine Savings Rate (GSR) for Queensland for the period 1989 to 1999, which is then compared with the World Bank estimate of Australia's GSR for the same period. Specifically, we examine how well a single "headline" indicator based on the World Bank's GSR performs as a measure of overall sustainability. In doing so, we review criticisms of the GSR and compare its potential policy directives with those emerging from the use of net state savings and then the GSR as part of a suite of indicators.

    Economic growth, fossil fuel and non-fossil consumption: a Pooled Mean Group analysis using proxies for capital

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    This study employs a Pooled Mean Group estimator to examine the nexus between economic growth and fossil and non-fossil fuel consumption for 53 countries between 1990 and 2012. The global sample was divided into four categories: developed exporters, developed importers, developing exporters and developing importers. The purpose of these categories was to observe whether factors unique to these countries influence the relationship between energy consumption and economic growth. With the exception of developing importers, evidence of bi-directional causality between fossil fuel consumption and real GDP across all subsamples is observed. This leads to the conclusion that efforts to directly conserve fossil fuels may harm economic growth. In terms of non-fossil fuel use, the results are more diverse. Bi-directional causality between non-fossil fuel use and real GDP is found in the long and short run for developed importers; bi-directional causality only in the long run for developed exporters; negative long-run causality from real GDP to non-fossil fuels for developing exporters; and long-run causality from non-fossil fuel use to real GDP for developing importers. These results lead to the conclusion that other factors have been responsible for the progress seen in non-fossil fuel use. Thus it is concluded that economic growth on its own is insufficient to promote clean energy development. There is a need for policy makers to create an environment conducive to renewable energy investment

    An Optimal Control Model of Illegal Logging by Commercial Logging Contractors in Laos PDR

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    Laos is an income-poor but resource-rich country heavily dependent upon its natural forest resources. This paper uses an optimal control model to analyse deforestation in Laos. Specifically, this paper analyses illegal logging by a sole commercial logging contractor within a single region in Laos. The commercial contractor aims to maximise discounted profits from commercial contracts to log government quotas and from illegal logging. Policy implications for a government wishing to sustain a target level of forest stock are derived from the model. Results show that it is likely that the steady state level of the forest stock will be lower than the government's target. In order to minimise the difference between the target and actual levels of remnant native forest, the government can consider increasing the value of contracts awarded, the duration of contracts awarded or the level of fines imposed on detected illegal loggers. The model, however, simplified what is an extremely complex problem. Game-theoretic extensions to the modelling framework are suggested as avenues that may help the model better reflect the complexity of illegal logging and deforestation in Laos

    Why Are Outcomes Different for Registry Patients Enrolled Prospectively and Retrospectively? Insights from the Global Anticoagulant Registry in the FIELD-Atrial Fibrillation (GARFIELD-AF).

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    Background: Retrospective and prospective observational studies are designed to reflect real-world evidence on clinical practice, but can yield conflicting results. The GARFIELD-AF Registry includes both methods of enrolment and allows analysis of differences in patient characteristics and outcomes that may result. Methods and Results: Patients with atrial fibrillation (AF) and ≄1 risk factor for stroke at diagnosis of AF were recruited either retrospectively (n = 5069) or prospectively (n = 5501) from 19 countries and then followed prospectively. The retrospectively enrolled cohort comprised patients with established AF (for a least 6, and up to 24 months before enrolment), who were identified retrospectively (and baseline and partial follow-up data were collected from the emedical records) and then followed prospectively between 0-18 months (such that the total time of follow-up was 24 months; data collection Dec-2009 and Oct-2010). In the prospectively enrolled cohort, patients with newly diagnosed AF (≀6 weeks after diagnosis) were recruited between Mar-2010 and Oct-2011 and were followed for 24 months after enrolment. Differences between the cohorts were observed in clinical characteristics, including type of AF, stroke prevention strategies, and event rates. More patients in the retrospectively identified cohort received vitamin K antagonists (62.1% vs. 53.2%) and fewer received non-vitamin K oral anticoagulants (1.8% vs . 4.2%). All-cause mortality rates per 100 person-years during the prospective follow-up (starting the first study visit up to 1 year) were significantly lower in the retrospective than prospectively identified cohort (3.04 [95% CI 2.51 to 3.67] vs . 4.05 [95% CI 3.53 to 4.63]; p = 0.016). Conclusions: Interpretations of data from registries that aim to evaluate the characteristics and outcomes of patients with AF must take account of differences in registry design and the impact of recall bias and survivorship bias that is incurred with retrospective enrolment. Clinical Trial Registration: - URL: http://www.clinicaltrials.gov . Unique identifier for GARFIELD-AF (NCT01090362)

    Risk profiles and one-year outcomes of patients with newly diagnosed atrial fibrillation in India: Insights from the GARFIELD-AF Registry.

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    BACKGROUND: The Global Anticoagulant Registry in the FIELD-Atrial Fibrillation (GARFIELD-AF) is an ongoing prospective noninterventional registry, which is providing important information on the baseline characteristics, treatment patterns, and 1-year outcomes in patients with newly diagnosed non-valvular atrial fibrillation (NVAF). This report describes data from Indian patients recruited in this registry. METHODS AND RESULTS: A total of 52,014 patients with newly diagnosed AF were enrolled globally; of these, 1388 patients were recruited from 26 sites within India (2012-2016). In India, the mean age was 65.8 years at diagnosis of NVAF. Hypertension was the most prevalent risk factor for AF, present in 68.5% of patients from India and in 76.3% of patients globally (P < 0.001). Diabetes and coronary artery disease (CAD) were prevalent in 36.2% and 28.1% of patients as compared with global prevalence of 22.2% and 21.6%, respectively (P < 0.001 for both). Antiplatelet therapy was the most common antithrombotic treatment in India. With increasing stroke risk, however, patients were more likely to receive oral anticoagulant therapy [mainly vitamin K antagonist (VKA)], but average international normalized ratio (INR) was lower among Indian patients [median INR value 1.6 (interquartile range {IQR}: 1.3-2.3) versus 2.3 (IQR 1.8-2.8) (P < 0.001)]. Compared with other countries, patients from India had markedly higher rates of all-cause mortality [7.68 per 100 person-years (95% confidence interval 6.32-9.35) vs 4.34 (4.16-4.53), P < 0.0001], while rates of stroke/systemic embolism and major bleeding were lower after 1 year of follow-up. CONCLUSION: Compared to previously published registries from India, the GARFIELD-AF registry describes clinical profiles and outcomes in Indian patients with AF of a different etiology. The registry data show that compared to the rest of the world, Indian AF patients are younger in age and have more diabetes and CAD. Patients with a higher stroke risk are more likely to receive anticoagulation therapy with VKA but are underdosed compared with the global average in the GARFIELD-AF. CLINICAL TRIAL REGISTRATION-URL: http://www.clinicaltrials.gov. Unique identifier: NCT01090362

    Environmental accounting in Papua New Guinea

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    The use of macroeconomic indicators based on the traditional system of national accounts for planning purposes may result in development strategies which are neither environmentally sound nor sustainable, mainly because these indicators do not account for the depletion of natural resources and losses in environmental quality due to social and economic activities. A new system of environmental and economic accounting is discussed, highlighting some of the problems of implementing such a model in Papua New Guinea
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