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What drives the change in UK household energy expenditure and associated CO 2 emissions? Implication and forecast to 2020

机译:是什么促使英国家庭能源支出和相关的CO 2排放量发生变化?对2020年的影响和预测

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摘要

Given the amount of direct and indirect CO2 emissions attributable to UK households, policy makers need a good understanding of the structure of household energy expenditure and the impact of both economic and non-economic factors when considering policies to reduce future emissions. To help achieve this, the structural time series model is used here to estimate UK ‘transport’ and ‘housing’ energy expenditure equations for 1964–2009. This allows for the estimation of a stochastic trend to measure the underlying energy expenditure trend and hence capture the non-trivial impact of ‘non-economic factors’ on household ‘transport’ and ‘housing’ energy expenditure; as well as the impact of the traditional ‘economic factors’ of income and price. The estimated equations are used to show that given current expectations, CO2 attributable to ‘transport’ and ‘housing’ expenditures will not fall by 29% (or 40%) in 2020 compared to 1990, and is therefore not consistent with the latest UK total CO2 reduction target. Hence, the message for policy makers is that in addition to economic incentives such as taxes, which might be needed to help restrain future energy expenditure, other policies that attempt to influence lifestyles and behaviours also need to be considered.
机译:考虑到归因于英国家庭的直接和间接CO2排放量,决策者在考虑减少未来排放的政策时,需要对家庭能源支出的结构以及经济和非经济因素的影响有很好的了解。为了帮助实现这一目标,这里使用结构时间序列模型来估算1964-2009年英国的“交通”和“住房”能源消耗等式。这样就可以估计随机趋势,以衡量潜在的能源支出趋势,从而捕捉“非经济因素”对家庭“交通”和“住房”能源支出的非凡影响;以及传统的收入和价格“经济因素”的影响。估计方程用于表明,根据当前的预期,与1990年相比,到2020年可归因于“交通”和“住房”支出的CO2不会下降29%(或40%),因此与英国最新统计数据不一致减少二氧化碳的目标。因此,向决策者传达的信息是,除了可能需要税收等经济激励措施来限制未来的能源支出外,还需要考虑其他试图影响生活方式和行为的政策。

著录项

  • 作者

    Chitnis M; Hunt LC;

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  • 年度 2012
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  • 原文格式 PDF
  • 正文语种 en
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