| 摘要: |
| 目的 为探索农户生活能源消费结构及影响因素。方法 文章以2018年“劳动力转移与农户生活能源”专项调查数据为依托，引入非农就业特征、抚养比和代际同住变量，运用Tobit模型分析非农就业特征、家庭人口经济特征、能源可获性、能源价格因素、区位因素及消费偏好对陕西农户生活能源消费结构的影响。结果 非农就业特征对农户能源消费结果有显著影响；代际同住、抚养比、人均农业收入及其他收入均对生物质能源消费有显著正向影响；户主的高教育程度和外出务工经历对商品能源消费有显著正向影响；人均耕地面积、商品能源平均价格作用则相反；不同地区农户生活能源消费结构差别大且受消费偏好影响。结论 研究表明，非农就业能够直接推动陕西农户生活能源由以生物质能源为主向以商品能源为主转型，但家庭人口经济等特征使非农就业对农户生活能源消费转型的显著影响力以经济因素为中心产生不同变化。 |
| 关键词: 农户 生物质能源消费 商品能源消费 结构 影响因素 |
| DOI：10.7621/cjarrp.1005-9121.20210511 |
| 分类号:F323.2 |
| 基金项目:国家自然科学基金项目“不确定条件下我国重要能源资源供给安全管理的理论与政策研究”（71273206）；国家社会科学基金项目“农村老年人家庭结构与代际支持的动态演进研究”(17BRK020)；西安科技大学哲社繁荣重点项目“劳动力转移下农村老人生计、能源消费及福祉研究”（2018SZ01）；陕西省科技厅软科学研究计划一般项目“社会资本视角下陕西省贫困地区科技精准扶贫多元协同机制研究”（2019KRM024） |
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| ANALYSIS OF INFLUENCING FACTORS ON CONSUMPTION STRUCTURE OF HOUSEHOLDS′ LIVING ENERGY IN SHAANXI PROVINCE |
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Wang Ping1,2, Zhang Yaxin1
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1.College of Management, Xi′an University of Science and Technology, Xi′an 710054, Shaanxi, China;2.Shaanxi Province Energy Industry Green and Low-carbon Development Soft Science Research Base, Xi′an 710054, Shaanxi, China
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| Abstract: |
| To explore the household energy consumption structure and its influencing factors, the characteristics of non-farm employment, dependency ratio and intergenerational living were introduced based on the data of the 2018 special survey on "Labor Transfer and Household Energy of Farmers". And the Tobit model was used to analyze the influence of non-farm employment characteristics, household economic characteristics, energy availability, energy price factors, location factors and consumption preferences on the household energy consumption structure in Shaanxi province. The results showed that the characteristics of non-farm employment had a significant impact on household energy consumption. Intergenerational living, dependency ratio, per capita agricultural income and other incomes all had significant positive effects on biomass energy consumption. The higher education level and migrant work experience of household head had a significant positive impact on commodity energy consumption. The effect of per capita arable land area and commodity energy average price was opposite. The household energy consumption structure varied greatly in different regions and it was affected by consumption preference. The research shows that non-agricultural employment can directly promote the transformation of household energy from biomass energy to commodity energy. However, the household economic characteristics make the significant influence of non-farm employment on the transformation of household energy consumption change with economic factors as the center. |
| Key words: rural household biomass energy consumption commodity energy consumption structure influencing factors |
