Energy poverty in Greek mountainous areas: a comparative study
文献类型:期刊论文
作者 | Lefkothea PAPADA; Dimitris KALIAMPAKOS |
刊名 | Journal of Mountain Science
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出版日期 | 2017-06 |
卷号 | 14期号:6页码:1229-1240 |
关键词 | Energy Poverty Fuel Poverty Mountainous Greece Indicator Households |
ISSN号 | 1672-6316 |
DOI | 10.1007/s11629-016-4095-z |
通讯作者 | Lefkothea PAPADA |
文献子类 | 期刊论文 |
英文摘要 | The paper studied the energy poverty in the mountainous areas of Greece through parallel primary surveys, in comparison with the country-level conditions. The surveys are based on objective financial and expenditure data as well as on subjective views about housing conditions. The objective approach showed that mountainous areas of Greece are burdened with much higher energy expenditure while also having lower annual incomes. Under these circumstances, the energy poverty rate skyrocketed to 73.5%. The subjective indicators reveal significant aspects of the problem, such as the intense problem of damp walls and mold growth at home or the restriction of other basic needs in order to cover heating needs. However, despite the proven high vulnerability of Greek mountainous areas, current energy policy actually ignores the special features of mountainous areas, implementing horizontal policies. Therefore, a specialized energy plan targeted to alleviating energy poverty in mountainous areas in Greece is an urgent imperative. |
语种 | 英语 |
源URL | [http://ir.imde.ac.cn/handle/131551/18740] ![]() |
专题 | Journal of Mountain Science _Journal of Mountain Science-2017_Vol14 No.6 |
推荐引用方式 GB/T 7714 | Lefkothea PAPADA,Dimitris KALIAMPAKOS. Energy poverty in Greek mountainous areas: a comparative study[J]. Journal of Mountain Science,2017,14(6):1229-1240. |
APA | Lefkothea PAPADA,&Dimitris KALIAMPAKOS.(2017).Energy poverty in Greek mountainous areas: a comparative study.Journal of Mountain Science,14(6),1229-1240. |
MLA | Lefkothea PAPADA,et al."Energy poverty in Greek mountainous areas: a comparative study".Journal of Mountain Science 14.6(2017):1229-1240. |
入库方式: OAI收割
来源:成都山地灾害与环境研究所
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