925 resultados para Economic implications


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Over the past three decades, Thailand has recorded consistently high levels of economic growth, making it one of the most successful economies in the world during this period. However, economic growth has associated costs that can also reduce social welfare. This study will estimate an Index of Sustainable Economic Welfare (ISEW) for Thailand over a twenty-five year period, 1975–1999. This paper concludes that even low-middle income countries are beginning to approach the point at which economic growth produces both diminishing and, at times, negative welfare returns as the costs of achieving growth begin to outweigh the associated benefits. These results are important for policy makers and highlight the importance of widening policy prescriptions in order to increase social welfare. However, the policy guidelines that are suggested must be critically accepted before being adopted due to possible weaknesses of the ISEW approach.

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Health researchers commonly use the notion of complexity to indicate the problems faced in evaluating the effectiveness of many non-drug interventions.1-3 However, although it is rarely delineated, complexity has two meanings. In the first it is a property of the intervention, and in the second it is a property of the system in which the intervention is implemented. We examine the implications of these two views for economic evaluation.

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We investigate cross-market trading dynamics in futures contracts written on seemingly unrelated commodities that are consumed by a common industry. On the Tokyo Commodity Exchange, we find such evidence in natural rubber (NR), palladium (PA) and gasoline (GA) futures markets. The automobile industry is responsible for more than 50% of global demand for each of these commodities. VAR estimation reveals short-run cross-market interaction between NR and GA, and from NR to PA. Cross-market influence exerted by PA is felt in longer dynamics, with PA volatility (volume) affecting NR (GA) volume (volatility). Our findings are robust to lag-specification, volatility measure, and consistent with full BEKK-GARCH estimation results. Further analysis, which benchmarks against silver futures market, TOCOM index and TOPIX transportation index, confirms that our results are driven by a common industry exposure, and not a commodity market factor. A simple trading rule that incorporates short-run GA and long-run PA dynamics to predict NR return yields positive economic profit. Our study offers new insights into how commodity and equity markets relate at an industry level, and implications for multi-commodity hedging.

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Approximately one in five of the Australian population lives with disability (AIHW 2006a; ABS 2003). Of these, almost 1.9 million rely on assistive technologies to live independently (Hobbs, Close, Downing, Reynolds & Walker 2009).

Assistive Technology (AT) is defined as,

‘any device, system or design, whether acquired commercially or off the shelf, modified or customised, that allows an individual to perform a task that they would otherwise be unable to do, or increase the ease and safety with which a task can be performed’ (Independent Living Centres Australia n.d).

‘Assistive Technology solutions’ have been defined as entailing a combination of devices (aids and equipment), environmental modifications (both in the home and outside of it), and personal care (paid and unpaid) (Assistive Technology Collaboration n.d).

Despite a large number of Australians relying on AT, there is little data available about life for these Australians, the extent of AT use, or unmet need for AT. Existing research in Australia suggests that aids and equipment provision in Australia is ‘fragmented’ across a plethora of government and non government programs (AIHW 2006a:35). In Victoria, one of the prime sources of government funding for AT is the Victorian Aids and Equipment Program (VAEP) which is a subsidy program for the purchase of aids and equipment, home and vehicle modifications for people with permanent or long term disability. Recent research suggests that waiting times for accessing equipment through the VAEP are high, as is the cost burden to applicants (Wilson, Wong & Goodridge 2006). In addition, there appears to be a substantial level of unmet need (KPMG 2007).

Additionally, there is a paucity of literature around the economic evaluation of AT interventions and solution packages, resulting in little evidence of their cost-effectiveness credentials.

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Background:
Ethnic diversity is increasing through migration in many developed countries. Evidence indicates that 
type 2 diabetes mellitus (T2DM) prevalence varies by ethnicity and socio- economic status (SES), and that in many settings, migrants experience a disproportionate burden of disease compared with locally-born groups. Given Australia’s multicultural demography, we sought to identify groups at high risk of T2DM in Victoria, Australia.

Methods:
Using population data from the Australian National Census and diabetes data from the National Diabetes Services Scheme, prevalence of T2DM among immigrant groups in Victoria in January 2010 was investigated, and prevalence odds versus Australian- born residents estimated. Distribution of T2DM by SES was also examined.
Results:
Prevalence of diagnosed T2DM in Victoria was 4.1% (n = 98671) in men and 3.5% (n = 87608) in women. Of those with T2DM, over 1 in 5 born in Oceania and in Southern and Central Asia were aged under 50 years. For both men and women, odds of T2DM were higher for all migrant groups than the Australian-born reference population, including, after adjusting for age and SES, 6.3 and 7.2 times higher for men and women born in the Pacific Islands, respectively, and 5.2 and 5.0 times higher for men and women born in Southern and Central Asia, respectively. Effects of SES varied by region of birth.
Conclusions:
Large socio-cultural differences exist in the distribution of T2DM. Across all socio-economic strata, all migrant groups have higher prevalence of T2DM than the Australian-born population. With increasing migration, this health gap potentially has implications for health service planning and delivery, policy and preventive efforts in Australia.

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In this paper we construct and analyze a growth model with the following three ingredients. (i) Technological progress is embodied. (ii) The production function of a firm is such that the firm makes both technology upgrade as well as capital and labor decisions. (iii) The firm’s production technology is putty-clay. We assume that there are disincentives to the accumulation of capital, resulting in a divergence between the social and the private cost of investment. We solve a single firm’s problem in this environment. Then we determine general equilibrium prices of capital goods of different vintages. Using these prices we aggregate firms’ decisions and construct the theoretical analogues of National Income statistics. This generates a relationship between disincentives and per capita incomes. We analyze this relationship and show the quantitative and qualitative roles of embodiment and putty-clay. We also show how the model is taken to data, quantified and used to determine to what extent income gaps across countries can be attributed to disincentives.