资源科学 ›› 2016, Vol. 38 ›› Issue (12): 2295-2306.doi: 10.18402/resci.2016.12.09
收稿日期:
2016-07-07
修回日期:
2016-09-26
出版日期:
2016-12-20
发布日期:
2016-12-20
作者简介:
作者简介:刘满芝,女,江苏徐州人,博士,副教授,研究方向为能源经济与管理、营销工程。
基金资助:
Received:
2016-07-07
Revised:
2016-09-26
Online:
2016-12-20
Published:
2016-12-20
摘要:
探究城镇居民生活能源消费的影响因素可为引导城镇居民生活能源合理消费提供依据。本文以中国八大区域为研究对象,建立静态面板数据模型挖掘2000-2013年节能政策、居民实际消费支出、能源价格对城镇居民生活能耗的影响。研究结果显示:城镇居民生活能耗与居民实际消费支出、能源价格、节能政策之间存在长期协整关系;能源价格对城镇居民生活能耗的影响最大,且具有显著负向作用,而实际消费支出对生活能耗具有显著正向作用,但城镇居民生活能源消费增长速度小于实际消费支出增长速度;节能政策的滞后期为2年,即政策颁布2年后对生活能耗具有一定抑制作用但该作用较小;由于经济发展水平及环境气候引起的居民取暖制冷需求的不同,节能政策、实际消费支出、能源价格对于生活能耗的影响呈现出显著的空间差异。由此建议:应通过调整居民实际消费支出结构、适当提高能源价格、加强节能政策的宣传与执行等方式降低生活能耗。
刘满芝, 刘贤贤. 中国城镇居民生活能源消费影响因素及其效应分析——基于八区域的静态面板数据模型[J]. 资源科学, 2016, 38(12): 2295-2306.
LIU Manzhi,LIU Xianxian. Factors affecting Chinese urban household energy consumption and spatial differences based on static panel data modelling for eight regions[J]. Resources Science, 2016, 38(12): 2295-2306.
表1
2000-2013年中国居民领域重大节能政策[47]"
年份 | 政策 | 颁布机构 | 与居民节能相关的内容 |
---|---|---|---|
2003 | 该年份起每年开展“全国节能宣传周”活动 | 国家发展和改革委员会 | 开展“全国节能宣传周”活动,宣传节能新技术、新产品的开发成果,普及节能知识,提高全社会节能意识 |
2004 | 《节能中长期专项规划》 | 国家发展和改革委员会 | “十大重点节能工程”中提出新建建筑严格实施节能,供热体制改革全面展开,开展既有居住和公共建筑节能改造以及家用及办公电器、照明器具等方面的节能政策 |
2006 | 《“十一五”十大重点节能工程实施意见》 | 科技部、财政部、建设部、国家质检总局、国家环保总局等 | “十大重点节能工程”中建筑节能工程和绿色照明工程对居民节能提出了详细要求 |
2007 | 《关于印发节能减排全民行动实施方案的通知》 | 国家发展和改革委员会 | 通过重塑家庭生活消费新模式、搭建节能减排社区平台、“简约生活”宣讲活动、设立“节能减排家庭、社区行动”网页等形式开展“节能减排家庭社区行动” |
2009 | 《关于开展“节能产品惠民工程”的通知》 | 财政部、国家发展与改革委员会 | 对高效节能和新能源产品给予财政补贴,推广“节能产品惠民工程”高效节能房间空调 |
2012 | 《节能产品惠民工程高效节能电动洗衣机推广目录》、《节能产品惠民工程高效太阳能热水器推广目录》等 | 国家发展与改革委员会、财政部、工业和信息化部 | 为开展“节能产品惠民工程”,中央财政安排363亿元补贴推广节能空调、节能家电、高效照明、节能汽车和高效电机 |
2013 | 《关于2013年全国节能宣传周和全国低碳日活动安排的通知》 | 国家发展与改革委员会 | 每年开展“全国低碳日活动”,促进全民在生活中节能减排 |
表2
面板数据单位根检验结果"
统计量 | LUEC | LUC | LPR | |||||
---|---|---|---|---|---|---|---|---|
水平值 | 一阶差分 | 水平值 | 一阶差分 | 水平值 | 一阶差分 | |||
LLC | -2.217** (0.013) | -7.435*** (0.000) | -1.579* (0.057) | -5.719*** (0.000) | 1.550 (0.939) | -8.936***(0.000) | ||
IPS | -1.234 (0.109) | -5.079*** (0.000) | 0.240 (0.595) | -3.168*** (0.001) | 1.648 (0.950) | -4.196*** (0.000) | ||
Fisher-ADF | 25.588* (0.060) | 50.444*** (0.000) | 12.018 (0.743) | 36.345*** (0.003) | 6.679 (0.979) | 43.363*** (0.000) | ||
Fisher-PP | 31.405** (0.012) | 58.695*** (0.000) | 8.462 (0.934) | 51.318*** (0.000) | 6.769 (0.978) | 67.356*** (0.000) |
表4
中国各区域固定影响变系数模型估计结果"
区域 | ||||
---|---|---|---|---|
京津 | -0.476 | 0.241(3.148)*** | -0.769(-4.095)*** | -0.057(-2.174)** |
东北 | 0.686 | 0.156(1.737)* | -0.277(-10.769)*** | -0.048(-1.715)* |
北部沿海 | 0.106 | 0.232(3.534)*** | -0.735(-5.103)*** | -0.059(-1.421) |
东部沿海 | -0.668 | 0.604(9.247)*** | -0.308(-2.063)** | -0.022(-1.120) |
南部沿海 | 0.400 | 0.341(5.295)*** | -0.499(-3.650)*** | -0.062(-2.078)** |
中部 | 0.496 | 0.705(7.842)*** | -0.052(-0.889) | -0.025(-0.754) |
西北 | -0.439 | -0.332(-1.772)* | -1.665(-2.393)** | -0.034(-1.745)* |
西南 | -0.105 | -0.021(-0.309) | -1.218(-10.359)*** | -0.094(-2.391)** |
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