Impacts of family household dynamics on residential energy demands in Hebei Province of China

被引:0
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作者
Yi Zeng
Hanmo Yang
Zhenglian Wang
Lan Li
机构
[1] National School of Development,Center for Healthy Aging and Development Studies
[2] Peking University,Center for the Study of Aging and Human Development and Geriatrics Division
[3] Duke University,Center for Population Aging and Health
[4] China Population and Development Research Center,undefined
[5] Population Research Institute,undefined
[6] Duke University,undefined
[7] Institute of Macroeconomic Research,undefined
[8] Commission of Development and Reform,undefined
来源
Genus | / 77卷
关键词
Residential energy demands; Households and population aging; Family household projections; Older parents; Young adult children; Inter-generation co-residence;
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学科分类号
摘要
This article presents analyses and projections of the residential energy demands in Hebei Province of China, using the ProFamy extended cohort-component method and user-friendly free software and conventional demographic data as input. The results indicate that the future increase in residential energy demands will be dominated by large increase in small households with 1–2 persons. We found that increase of residential energy demands will be mainly driven by the rapid increase of older adults’ households. Comparisons between residential energy demand projections by household changes and by population changes demonstrate that projections by population changes seriously under-estimate the future residential energy demands. We recommend that China needs to adopt policies to encourage and facilitate older parents and adult children to live together or near-by, and support rural-to-urban family migration. Promoting inter-generation co-residence or living near-by between older parents and young adults would result in a mutually beneficial outcome for both older and younger generations as well as to effectively reduce energy demands. We suggest governments to carefully formulate strategies on efficient residential energy use to cope with the rapid households and population aging, and strengthen data collections/analyses on household residential energy demands for sound policy-making and sustainable development.
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