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MODELING ADOPTION OF ENERGY EFFICIENT DEVICES IN INDIAN URBAN HOUSEHOLDS

机译:建模领域城市家庭节能设备采用

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Human-imposed threats to global sustainability have two fundamental dimensions: 'population growth' and 'increasing per capita demand for goods and services', particularly material needs and energy. Presently, the share of direct energy use of households in India is about 40% of the total direct indigenous energy use which goes up to 70%, if the indirect energy of all goods and services purchased by households is taken into account. Thus, study of residential sector energy consumption assumes significance from both supply-side and sustainability considerations. In this backdrop, the current paper discusses the findings of a research on factors influencing adoption of energy efficient devices in Indian urban households. The survey data of 270 households in the south Indian city of Mysore is used for the purpose. Principal Component Factor analysis is adopted to reduce the number of variables involved. Factor scores are subsequently employed in modelling the adoption of energy efficient devices, through multiple regression analysis. The study revealed 'financial status' as the most important and 'government efforts' and 'owner qualification' as the least important factors influencing the adoption of energy efficient devices. These results underscore the need for massive information campaign about energy efficient devices and to revamp the subsidy policy.
机译:对全球可持续性的人为施加的威胁有两个基本尺寸:“人口增长”和“对商品和服务的人均需求”,特别是物质需求和能源。目前,如果家庭购买的所有商品和服务的间接能源被考虑在内,则印度家庭的直接能源使用占总直接能源的份额约为70%。因此,住宅扇区能耗的研究假定来自供应方和可持续性考虑因素的重要性。在这篇背景下,本文讨论了影响印度城市家庭采用节能器件采用的因素研究的研究。南印度迈索市270户家庭的调查数据用于宗旨。采用主成分因子分析来减少所涉及的变量数量。随后采用因子分数来建模通过多元回归分析来建模节能器件。该研究揭示了“财务状况”作为最重要的,“政府努力”和“所有者资格”,作为影响通过节能设备采用的最不重要的因素。这些结果强调了对能源有效设备的大规模信息活动的需求,并改造补贴政策。

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