Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte.Abstract: In Great Britain several policy measures have been implemented in order to increase energy efficiency and to reduce carbon emissions. In the domestic sector, these targets can be achieved by improving space heating efficiency and, hence, decrease heating expenditures. However, before implementing policy measures it is necessary to better understand determinants of heating expenditures. In this paper, we examine determinants of heating expenditures which include socio-economic and building characteristics as well as heating technologies and meteorological observations. In contrast to most other studies, we use Panel data for investigating household's demand for heating in Great Britain. Our analysis covers 15 years, starting in 1991, and more than 5,000 households that have been re-interviewed annually; altogether our sample covers more than 64,000 households. Our empirical findings suggest that in Great Britain owners generally have higher heating expenditures than renters. These differences in expenditures can be explained by building characteristics. Renters mainly live in flats and most of the owners live in detached/semi-detached houses. Generally, flats are more energy efficient than houses. Our results also imply that a number of socio-economic criteria have a significant influence on heating expenditures, independent from the central heating fuel type. Policy measures should not only focus on insulation standards but also on different household types. Especially elderly people and households with children should be target groups. AbstractIn Great Britain several policy measures have been implemented in order to increase energy efficiency and to reduce carbon emissions. In the domestic sector, these targets can be achieved by improving space heating efficiency and, hence, decrease heating expenditures. However, before implementing policy measures it is necessary to better understand determinants of heating expenditures.In this paper, we examine determinants of heating expenditures which include socio-economic and building characteristics as well as heating technologies and meteorological observations. In contrast to most other studies, we use Panel data for investigating household's demand for heating in Great Britain. Our analysis covers 15 years, starting in 1991, and more than 5,000 households that have been re-interviewed annually; altogether our sample covers more than 64,000 households.Our empirical findings suggest that in Great Brita...
Cell migration is driven by the establishment of disparity between the cortical properties of the softer front and the more rigid rear allowing front extension and actomyosin-based rear contraction. However, how the cortical actin meshwork in the rear is generated remains elusive. Here we identify the mDia1-like formin A (ForA) from Dictyostelium discoideum that generates a subset of filaments as the basis of a resilient cortical actin sheath in the rear. Mechanical resistance of this actin compartment is accomplished by actin crosslinkers and IQGAP-related proteins, and is mandatory to withstand the increased contractile forces in response to mechanical stress by impeding unproductive blebbing in the rear, allowing efficient cell migration in two-dimensional-confined environments. Consistently, ForA supresses the formation of lateral protrusions, rapidly relocalizes to new prospective ends in repolarizing cells and is required for cortical integrity. Finally, we show that ForA utilizes the phosphoinositide gradients in polarized cells for subcellular targeting.
The residential demand for energy is growing steadily and the trend is expected to continue for the foreseeable future. Household spending on energy services tends to increase with income. We explore household total spending on energy and on electricity and gas separately. We use an extensive British household panel data with more than 77,000 observations for the 1991-2007 period to explore the determinants of energy spending. We analyse income as a main driver of spending on energy and draw Engel spending curves for these. The lack of household level price data in liberalized retail energy markets is addressed by a new modelling approach to reflect within and between regional differences in energy prices. Also, long run changes in energy spending of households are approximated by exploring unit effects. The main results show the Engel spending curves are S-shaped. Income elasticities for energy spending are U-shaped and lower than unity, suggesting that energy services are a necessity for households. Moreover, the findings show that the income elasticity of energy spending is somewhat higher in the long run. Finally, we find a dynamic link between energy spending and income changes rather than a fixed budget threshold where basic needs are met. Hence, we suggest policy approaches that enable households to find their individual utility-maximizing energy spending levels.
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