中国农业科学院农业信息研究所 中国农学会
Agricultural Information Institute of CAAS China Association of Agricultural Science Societies
En
Ch
中国农业科学院农业信息研究所 中国农学会 主办

AI检索

订阅

返回顶部
当前位置: 首页 > 文章 > 城市居民茶叶消费收入弹性研究——基于扩展线性支出模型(ELES)的估计 中国食物与营养 2014,20 (06) 46-49
Position: Home > Articles > An Empirical Study on the Income Elasticity of Urban Residents' Tea Consumption——Estimations Based on Extend Linear Expenditure System Food and Nutrition in China 2014,20 (06) 46-49

城市居民茶叶消费收入弹性研究——基于扩展线性支出模型(ELES)的估计

作  者：
陈富桥;姜爱芹;姜仁华;胡林英;李彦成
单  位：
中国农业科学院茶叶研究所
关键词：
城市居民;茶叶消费;收入弹性;ELES
摘  要：
了解居民茶叶消费与收入之间的内在联系,不仅对保持产业供求平衡有重要意义,且对于茶叶经营主体制定茶叶营销策略也有参考价值。本文基于12城市居民茶叶消费调查数据,运用扩展线性支出模型(ELES)估计了城市居民茶叶消费收入弹性系数,结果表明我国城市居民茶叶消费收入弹性为0.23,说明茶叶消费在我国城市居民生活中具有必需品的性质,且不同类型消费群体的消费收入弹性系数表现出了显著的差异。基于此,提出了茶叶营销的相关建议。
译  名：
An Empirical Study on the Income Elasticity of Urban Residents' Tea Consumption——Estimations Based on Extend Linear Expenditure System
作  者：
CHEN Fu-qiao;JIANG Ai-qin;JIANG Ren-hua;HU Lin-ying;LI Yan-cheng;Tea Research Institute of Chinese Academy of Agricultural Sciences;
关键词：
urban residents,tea consumption,income elasticity,ELES
摘  要：
Having a good grasp of the inner links between urban residents' tea consumption and incomes,is not only very important to keep the balance of industry supply and demand,but also has certain reference value for tea enterprises to formulate marketing strategy. Based on the residents' tea consumption survey data of 12 cities,this paper utilized Extend Linear Expenditure System( ELES) to estimate the income elastic coefficients of urban residents' tea consumption,and the results showed that the whole samples' elastic coefficient was 0. 23 which indicated tea was one of the necessities in China' s urban residents' life. However,the income elasticity among different kinds of consumer groups had significant differences. At last,the paper put forward some advices to tea marketing.

相似文章

导出引用
计量
文章访问数: 41
HTML全文浏览量: 0
PDF下载量: 0

所属期刊

推荐期刊

友情链接Friendly link
农业信息研究所Agricultural information institute 农业智能知识服务平台Agricultural intelligent knowledge service platform 农业学术服务平台Agricultural Knowledge Service System 中国知网CNKI 维普网VIP 万方WANFANG DATA
联系我们Contact us

电话Tell：010-82109652-808

邮箱E-mail：agrijournal@caas.cn

服务Service
关于我们About us 意见建议Opinions and suggest
版权说明Copyright
单位：中国农业科学院农业信息研究所 中国农学会 © 2017中国农业科学院农业信息研究所 ICP备案号：京ICP备09089781号-46