基于CHNS 2011年的数据,本文利用Double hurdle模型,从参与消费和消费多少两个角度对比分析了中国城乡居民的茶叶消费。结果表明,中国城乡居民中分别有2.61亿和1.67亿的饮茶者,日均饮茶量分别为3.19杯和2.81杯,城乡的茶叶消费普及率分别达到46.5%和33.0%,城镇居民和农村居民的茶叶消费收入弹性分别为11.19%和7.9%。城镇居民参与茶叶消费受年龄和收入影响,农村居民参与茶叶消费受收入和家庭规模影响,城乡居民中男性消费者的饮茶量更多,在茶叶消费量的影响上,年龄、收入、家庭规模和受教育程度对城乡居民茶叶消费量具有显著的正向影响。推动中国国内茶叶消费的政策建议是考虑政策的适用性、加快提升城乡居民收入和准确寻找缝隙市场。
Based on the data from China Health and Nutrition Survey in 2011, the paper used double hurdle model to analyze the tea consumption between urban and rural residents, from the perspective of participation of tea consumption and how much to consumes. The results showed there were about 0.261 billion and 0.167 billion tea consumers in urban and rural regions, the corresponding quantities of tea consumed were 3.19 cup and 2.81 cup per day, 46.5% of urban residents and 33% of rural residents drink tea, income elastic of demand for urban and rural residents were 11.19% and 7.9% respectively. The participation of tea consumption of urban residents was influenced by age and income, while the rural residents were affected by income and family size on the participation of tea consumption, male in urban area consumed more cups of tea than female. Age, income, family size and education all showed positive and significant effect on the tea consumption. The corresponding policies to promote tea consumption in China included considering the applicability of policy, speeding up to increase the income of urban and rural residents, finding the niche market.
[1] http://www.fao.org/fileadmin/templates/est/meetings/IGGtea21/14-Inf3-CurrentSituation.pdf.
[2] 管曦, 杨江帆. 基于二阶段的中国茶叶消费行为分析[J]. 中国茶叶, 2015, 37(2): 14-16.
[3] Pamela S H, David K G, Barry M P.Modeling Food Consumption Decisions as a Two-Step Process[J]. AMER J AGR ECON, 1988, 70(3): 543-552.
[4] http://www.fao.org/fileadmin/templates/est/comm_markets_monitoring/Tea/Documents/IGG_20/12-2-demand.pdf.
[5] Frary C D. Johnson R K, Min Qi WANG.Food Sources and Intakes of Caffeine in the Diets of Persons in the United States[J]. Journal of the American Dietetic Association, 2005, 105(1): 110-113.
[6] Garriguet D.Beverage consumption of Canadian adults, Statistics Canada[J]. Catalogue no. 82-003-XPE. Health Reports, 2008, 19(4): 24-51.
[7] Yasuhito Watanabe, Nobuhiro Suzuki, Harry M Kaiser.Factors Affecting Consumers’ Choice of Beverages in Japan[J]. Agribusiness, 1998, 14(2): 147-156.
[8] 汤一, 黄韩丹. 杭州市区茶叶消费者特性之实证研究[J]. 茶叶科学, 2007, 27(4): 323-327.
[9] 张毓雄, 汤跃跃. 广东农村居民茶叶消费实证分析[J]. 茶叶科学, 2010, 30(6): 482-488.
[10] 赵琳琳. 北京市场个人茶叶消费行为影响因素分析[D]. 北京: 中国农业科学院, 2010.
[11] 管曦, 杨江帆, 谢向英, 等. 中国茶叶消费现状与消费行为的影响因素研究[J]. 茶叶科学, 2011, 31(6): 546-551.
[12] 姜友雪. 城市居民茶叶消费行为影响因素实证分析-基于广州调查数据[J]. 茶叶, 2013(3): 146-148.
[13] 管曦, 杨江帆. 对中国茶叶消费现状的分析和建议[J]. 茶叶, 2014(2): 57-59.
[14] 苏祝成, 童启庆. 我国国内市场茶叶需求弹性的估算[J]. 茶叶, 2001(3): 35-37.
[15] 孔玉屏, 汤一. 我国农村居民茶叶消费特点之实证分析[J]. 茶叶, 2006(4): 218-221.
[16] 张莉琴. 城镇居民茶叶消费行为分析-基于北京住户调查数据[J]. 中国农业大学学报: 社会科学版, 2010, 27(2): 128-134.
[17] 陈富桥, 姜爱芹, 姜仁华, 等. 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[J]. 中国食物与营养, 2014, 20(6): 46-49.
[18] 黄祖辉, 钱峰燕, 李皇照. 茶叶安全性消费特性分析[J]. 浙江大学学报: 人文社会科学版, 2004, 34(3): 21-26.
[19] 杨江帆, 刘宝玉, 管曦. 福州市消费者有机茶支付意愿及其影响因素分析——基于CVM的实证研究[J]. 福建农林大学学报: 哲学社会科学版, 2011, 14(3): 38-42.
[20] Amemiya T.Tobit models: a survey[J]. J Econometrics, 1984, 24(1/2): 3-61.
[21] Pudney S.Modelling Individual Choice: The Econometrics of Corners, Kinks and Holes[M]. New York: Wiley, 1989.
[22] Tobin J.Estimation of relationships for limited dependent variables[J]. J Econometrica, 1958, 26(1): 24-36.
[23] Goldberger A S.Econometric Theory[M]. New York: Wiley, 1964.
[24] Cragg J G.Some Statistical Models for Limited Dependent Variables with Applications for the Demand for Durable Goods[J]. J Econometrica, 1971, 39(5): 829-844.
[25] Angulo A M, Gil J M, Gracia A.The demand for alcoholic beverages in Spain[J]. Agricultural Economics, 2001, 26(1): 71-83.