Energy Use and Appliance Ownership in Ireland. ESRI WP277. February 2009

This paper examines household energy use and appliance ownership in Ireland. Logit regression analyses on a large micro-dataset reveal how household characteristics can help explain the ownership of energy using appliances. Using OLS regression models, we explore the factors affecting residential energy demand conditional on appliance ownership. Results suggest that the methods of space and water heating employed by a household are even more important than electrical appliances in explaining domestic energy usage. However, the stock of appliances must be included in such models so that results will not be biased. The methods employed in this paper can be easily adopted for studies of household energy use in other countries where household expenditure survey data are available

The Distributional Effects of Value Added Tax in Ireland

In this paper we examine the distributional effects of Value Added Tax (VAT) in Ireland. Using the 2004/2005 Household Budget Survey, we assess the amount of VAT that households pay as a proportion of weekly disposable income. We measure VAT payments by equivalised income decile, households of different composition and different household sizes. The current system is highly regressive. With the use of a micro-simulation model we also estimate the impact of changing the VAT rate on certain groups of items and the associated change in revenue. We also consider how the imposition of a flat rate across all goods and services would affect households in different categories. The Irish Government has recently announced that it proposes to increase the standard rate of VAT to 22 per cent in 2013 and to 23 per cent in 2014. We examine the distributional implications of such increases. The general pattern of results shows that those hardest hit are households in the first income decile, households in rural areas, 6 person households and households containing a single adult with children.

Electrical Appliance Ownership and Usage in Ireland. ESRI WP421. February 2012

Past research into the determinants of appliance ownership has identified associations with socioeconomic characteristics of households. Few studies have examined the intensity with which different sorts of households use the appliances they have. This paper uses microdata to examine the factors influencing ownership and usage of electrical appliances in Irish households. We also consider the factors influencing the ownership of different cooker types, space and water heating systems and energy saving features. We find that appliance ownership and usage is related to the socio‐economic characteristics of the household’s chief income earner as well as household characteristics such as the type and age of accommodation, tenure and the number of bedrooms. The number of people living in the household has a positive association with both ownership and usage of electrical appliances. However, it does not increase ownership of energy saving features, with the exception of CFLs. The highest earning households are more likely to own electrical appliances but they do not necessarily use them more often, nor are they more likely to purchase energy saving features

Determinants of Vegetarianism and Partial Vegetarianism in the United Kingdom. ESRI WP360. November 2010

Vegetarianism is increasing in the western world. Anecdotally, this trend can be attributed to heightened health, environmental and animal welfare concerns. In this paper we investigate the factors associated with vegetarianism among adults and children in the UK. Using the 2008 Health Survey for England, we use a logit model to assess the relationship between vegetarianism and the socioeconomic and personal characteristics of the respondents. We also analyse the factors associated with varying levels of meat consumption using an ordered logit model. This paper adds to the existing literature as it is the first paper to estimate the determinants of vegetarianism using a large dataset containing individual level consumption data

The Distributional Effects of Value Added Tax in Ireland. ESRI WP366. December 2010

In this paper we examine the distributional effects of Value Added Tax (VAT) in Ireland. Using the 2004/2005 Household Budget Survey, we assess the amount of VAT that households pay as a proportion of weekly disposable income. We measure VAT payments by equivalised income decile, households of different composition and different household sizes. The current system is highly regressive. With the use of a micro-simulation model we also estimate the impact of changing the VAT rate on certain groups of items and the associated change in revenue. We also consider how the imposition of a flat rate across all goods and services would affect households in different categories. The Irish Government has recently announced that it proposes to increase the standard rate of VAT to 22% in 2013 and to 23% in 2014. We examine the distributional implications of such increases. The general pattern of results shows that those hardest hit are households in the first income decile, households in rural areas, 6 person households and households containing a single adult with children

The Cost of Natural Gas Shortages in Ireland. ESRI WP397. July 2010

This paper investigates the economic implications of disruptions of one to ninety days to the supply of natural gas in Ireland. We assess the impact of a hypothetical gas supply disruption in both winter and summer in 2008 (with observed market characteristics) and in 2020 (with projected market characteristics). The cost of a natural gas outage includes the cost of natural gas being unavailable for heating and other purposes in the industrial and commercial sectors, lost consumer surplus in the residential sector, the cost of lost electricity in all sectors and lost VAT on the sale of gas and electricity. Ireland produces much of its electricity from natural gas and the loss of this electricity accounts for the majority of the cost of a natural gas outage. Losing gas-fired electricity would cost 0.1 to 1.0 billion euro per day, depending on the time of week, the time of year, and rationing of electricity. Industry should be rationed before households to minimize economic losses, but current emergency protocols favour industry. If gas-fired electricity is unavailable for three months, the economic loss could be up to 80 billion euro, about half of Gross Domestic Product. Losing gas for heating too would add up to approximately 8 billion euro in economic losses. We also discuss some options to increase Ireland’s security of supply, and find that the cost is a small fraction of the avoided maximum damage

AOTI Research Strategy 2014-2019

The Association of Occupational Therapists of Ireland (AOTI) is the professional body for occupational therapists in Ireland. As a professional body, AOTI recognises the importance of ensuring evidence-based best practice, effectiveness and efficiency in the delivery of Occupational Therapy services to the benefit of service users. In 2007 a research committee was established within AOTI to guide a research agenda for the profession. In 2008, The Therapy Project Office developed core competencies for the occupational therapy profession (Therapy Project Office, 2008). These had a research and evidence-based focus

Energy Use and Appliance Ownership in Ireland

This paper examines domestic energy use and appliance ownership in Ireland. Regression analyses on a large micro-dataset reveal how household characteristics can help explain the ownership of energy using appliances. The location of the household, the number of rooms and household income are important factors, as are certain characteristics of the highest earner in the household such as education level and age. We also find evidence that household income, number of persons, accommodation characteristics, region, and age of the highest earner can help explain domestic electricity use, even after taking account of the household's endowment of appliances. The level of demand for domestic heating is also associated with housing tenure and the employment status of the highest earner.appliance ownership/energy efficiency/Energy use/Ireland/education

Energy use and appliance ownership in Ireland

This paper examines household energy use and appliance ownership in Ireland. Logit regression analyses on a large micro-dataset reveal how household characteristics can help explain the ownership of energy using appliances. Using OLS regression models, we explore the factors affecting residential energy demand conditional on appliance ownership. Results suggest that the methods of space and water heating employed by a household are even more important than electrical appliances in explaining domestic energy usage. However, the stock of appliances must be included in such models so that results will not be biased. The methods employed in this paper can be easily adopted for studies of household energy use in other countries where household expenditure survey data are available.Energy use Ireland Appliance ownership