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Fuel choices for cooking in China: Analysis based on multinomial logit model

机译:中国做饭的燃料选择:基于多项式logit模型的分析

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摘要

Ensuring household access to affordable, reliable, sustainable and modern energy for all the people is one of the 17 United Nations Sustainable Development Goals (SDGs). China has achieved 100% electricity access, while the traditional solid fuels such as firewood are still widely used in its rural area. This paper, using a long-term and large micro dataset and multinomial logit model, investigates quantitatively the determinants of cooking fuel choice in rural China. The results show that in addition to the previous knowledge on household income, occupation is crucial to the cooking fuel transition. In average, if the head of household changes its occupation from farm to non-farm, the possibility of using firewood would reduce by around 14-21%. The impact of income is slightly small. A 10% increase in income may result in 0.5% of possibility of firewood use. These conclusions are robust after considering the possible energy ladders using ordered logit regressions (OLR) and generalized OLR. After controlling other factors such as income and occupation, we have not found concrete evidence on the influences of education and gender of the household head and household member numbers. To accelerate the fuel transition, in addition to increase the household income, the government should pay attention to create more non-farm work opportunities for the rural. (C) 2019 Elsevier Ltd. All rights reserved.
机译:确保所有人都能获得负担得起的,可靠的,可持续的和现代能源的家庭是联合国17个可持续发展目标之一。中国已经实现了100%的电力供应,而传统的固体燃料(例如木柴)仍在农村地区广泛使用。本文使用长期的大型微观数据集和多项式logit模型,定量研究了中国农村地区烹饪燃料选择的决定因素。结果表明,除了先前关于家庭收入的知识外,职业对烹饪燃料的过渡至关重要。平均而言,如果一家之主将其职业从农场改为非农场,使用木柴的可能性将减少约14-21%。收入的影响很小。收入增加10%可能导致使用木柴的可能性为0.5%。在使用有序logit回归(OLR)和广义OLR考虑可能的能量阶梯之后,这些结论是有力的。在控制了收入和职业等其他因素之后,我们还没有找到具体证据证明受教育程度以及户主性别和家庭成员人数的影响。为了加速燃料转移,除了增加家庭收入外,政府还应注意为农村创造更多的非农工作机会。 (C)2019 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Journal of Cleaner Production》 |2019年第10期|104-111|共8页
  • 作者单位

    Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China|Beijing Inst Technol, Ctr Energy & Environm Policy Res, 5 Zhongguancun South St, Beijing 100081, Peoples R China|Sustainable Dev Res Inst Econ & Soc Beijing, Beijing 100081, Peoples R China|Beijing Key Lab Energy Econ & Environm Management, Beijing 100081, Peoples R China|Collaborat Innovat Ctr Elect Vehicles Beijing, Beijing 100081, Peoples R China;

    Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China|Beijing Inst Technol, Ctr Energy & Environm Policy Res, 5 Zhongguancun South St, Beijing 100081, Peoples R China;

    Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China|Beijing Inst Technol, Ctr Energy & Environm Policy Res, 5 Zhongguancun South St, Beijing 100081, Peoples R China;

    Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China|Beijing Inst Technol, Ctr Energy & Environm Policy Res, 5 Zhongguancun South St, Beijing 100081, Peoples R China|Collaborat Innovat Ctr Elect Vehicles Beijing, Beijing 100081, Peoples R China|Univ Toronto, Dept Civil & Mineral Engn, Toronto, ON M5S 1A4, Canada;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Cooking fuel choice; Energy transition; Multinomial logit; Rural China;

    机译:烹调燃料的选择;能量转换;多项式;农村;

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