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Impact of household demographic characteristics on energy conservation and carbon dioxide emission: Case from Mahabad city, Iran
Energy ( IF 9 ) Pub Date : 2020-03-01 , DOI: 10.1016/j.energy.2020.116916
Mohammad Soltani , Omeid Rahmani , Dara S.M. Ghasimi , Yousef Ghaderpour , Amin Beiranvand Pour , Siti Hajar Misnan , Ibrahim Ngah

Abstract This study explores the impact of different household demographic characteristics on energy conservation and carbon dioxide (CO2) emission in Mahabad city located in the northwest of Iran. The structural model adopted was composed of six variables, including household age, household size, educational qualification, income quintile, gender, and energy conservation concerning demographic characteristics and energy sources and consumptions. To compare predictability power of effects of these variables concerning households’ energy conservation and CO2 emissions, a crisp instruction on how to evolve a statistical technique for analyzing data was provided by partial least squares structural equation modeling (PLS-SEM). To verify the reliability of the PLS-SEM technique, the statistical significance test was performed by investigating path coefficients. The study revealed that households consume approximately 89.71% on liquefied petroleum gas (LPG), 9.87% on electricity while the rest 0.43% on kerosene, petrol, and diesel monthly. Eventually, the results of this study showed that household age, household size, and carbon dioxide emissions, except education background and income level, are significantly correlated with energy conservation.

中文翻译:

家庭人口特征对节能和二氧化碳排放的影响:以伊朗马哈巴德市为例

摘要 本研究探讨了伊朗西北部马哈巴德市不同家庭人口特征对节能和二氧化碳 (CO2) 排放的影响。所采用的结构模型由六个变量组成,包括家庭年龄、家庭规模、教育程度、收入五分位数、性别和关于人口特征和能源来源和消费的节能。为了比较这些变量对家庭节能和二氧化碳排放的影响的可预测性,偏最小二乘结构方程模型 (PLS-SEM) 提供了关于如何发展用于分析数据的统计技术的清晰说明。为了验证 PLS-SEM 技术的可靠性,通过研究路径系数进行统计显着性检验。研究显示,家庭每月消耗约 89.71% 的液化石油气 (LPG),9.87% 的电力,其余 0.43% 的煤油、汽油和柴油。最终,本研究的结果表明,除教育背景和收入水平外,家庭年龄、家庭规模和二氧化碳排放量与节能显着相关。
更新日期:2020-03-01
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