浙江农业学报

• 农业经济与发展 • 上一篇    下一篇

中国低碳产品应用的非线性收入效应研究 ——以农村地区太阳能热水器为例

  

  1. (中国人民大学 环境学院,北京 100872)
  • 出版日期:2015-03-25 发布日期:2015-03-31

Non\|linear income effect of low\|carbon products application in China: Taking solar water heater in rural area as an example

  1. (School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China)
  • Online:2015-03-25 Published:2015-03-31

摘要: 利用我国省级行政区2004—2010年面板数据,采用截面相关一致性估计量,分析了中国农村太阳能热水器应用的影响因素;并采用面板门槛模型,实证了相关自然、社会经济因素使收入效应发生的结构变化。结果表明,除收入水平外,能源禀赋、住房条件、人口流动也会直接影响太阳能热水器的应用;当能源禀赋、教育水平、人口流动、气温跨过特定门槛值后,会使收入效应发生非线性的结构变化。在扩大农村地区太阳能热水器的应用规模,在提高农民购买力的同时,需要注重改善农民住房条件、培养农民节能低碳意识、加强低碳产品宣传,并与农村人口流动和气温特征相适应。

关键词: 低碳产品, 可再生能源, 太阳能热水器, 收入效应, 门槛回归

Abstract: This paper aimed to explore the impact of income on the application of low\|carbon product in China, and non\|linear income effect was revealed by panel threshold model. Based on provincial panel data during 2004\|2010, this paper analyzed the influencing factors of solar water heater application in rural China using cross\|sectional consistency estimator. Through establishing panel threshold models, structural changes on income effect affected by natural and social economic factors were analyzed empirically. Results showed that besides income level, energy endowments, housing conditions and population mobility could also affect the application of solar water heater directly. When energy endowments, educational level, population mobility, and temperature overtook their corresponding threshold values, the income effect would experience structural change nonlinearly. Therefore, it was beneficial to improve peasants housing conditions, cultivate their energy\|saving and low\|carbon awareness, and strengthen propaganda of low\|carbon product to promote the application of solar water heater in rural China. All the suggested measures should be in accordance with rural population mobility and temperature characteristic in the process of raising peasants purchasing power.

Key words: low\, carbon product, renewable energy, solar water heater, income effect, threshold regression