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| 1 |
ID:
093010
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| 2 |
ID:
149840
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| Summary/Abstract |
This article provides fresh empirical evidence of residential electricity demand in Singapore over the period of 1980–2014, using the bounds testing procedure to cointegration. The residential electricity demand comprises of income, price, temperature, rainy days, old-age dependency and the impact of energy efficiency policies. Our results are consistent with previous studies, where income and price elasticities are inelastic. Hence, from a policy perspective, subsidies will not be effective in reducing electricity demand. We also found that old-age dependency is an important determinant that reduces electricity consumption at least in the short-run, suggesting that policies that target the younger population may bring more savings.
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| 3 |
ID:
175468
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| Summary/Abstract |
Global population ageing trends and a rising life expectancy emphasise the significance of policies regarding long-term care services provided to severely disabled elders in various countries. This article focuses on the long-term care policy implemented in Israel and examines its different features and compatibility to client needs. It shows that Israel’s long-term care policy suffers from considerable faults, notably insufficient budgeting, poor quality caregivers, low number of local long-term care workers, and excessive reliance on foreign workers. The article then suggests ways to increase efficacy and improve public policy in long-term care.
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| 4 |
ID:
169729
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| Summary/Abstract |
There is said to be a strong relationship between low winter fuel consumption and increased cold-related morbidities and mortalities in the elderly. However, no study has so far investigated baseline domestic thermal conditions, energy and health in this demographic - a crucial gap given an ageing population. Hence we examine, for the first time, the validity of current thermal comfort standards and World Health Organisation minimum temperature thresholds in the 65 + demographic, through a longitudinal study of thermal conditions in homes of the elderly. We cover two typical winters using repeated monthly surveys and continuous temperature monitoring in living and bed rooms. Results demonstrate that the widely used ISO7730 model significantly underpredicts comfort in this demographic. We use our data to create a new model for the elderly, with a 40% lower error rate. Using calibrated computer models, we demonstrate that our model predicts a 44% reduction in winter heating demand, compared to the current model. Finally, our data provides little evidence for an association between low indoor temperature and healthcare visits for a variety of morbidities. These results question current assumptions around thermal comfort and health in the elderly, with potential implications for health and energy policy.
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