湖北农业科学 ›› 2023, Vol. 62 ›› Issue (2): 25-30.doi: 10.14088/j.cnki.issn0439-8114.2023.02.005

• 农业经济 • 上一篇    下一篇

乡村振兴背景下云南省种植业结构调整的鲜菜消费研究

毛昭庆a, 陈良正a, 董晓波a, 杨芳b, 李梁a   

  1. 云南省农业科学院,a.农业经济与信息研究所; b.农产品加工研究所,昆明 650205
  • 收稿日期:2021-12-02 出版日期:2023-02-25 发布日期:2023-03-17
  • 通讯作者: 李 梁(1987-),男,云南曲靖人,助理研究员,硕士,主要从事农业产业经济研究。
  • 作者简介:毛昭庆(1990-),女,湖北潜江人,助理研究员,硕士,主要从事农业产业经济研究,(电话)15808881745(电子信箱)809499657@qq.com。
  • 基金资助:
    云南省科技厅重大专项(2019ZG001-3-5); 云南省科技人才和平台计划——高层次科技人才及创新团队选拔专项(202105AC160088); 2021年云南省农业科学院科技创新及成果转化试点专项(202102AE090036-11; 202102AE090036-15); 云南省“万人计划”云岭学者人才专项(YNWR-YLXZ-2019-013)

Study on fresh vegetable consumption of planting structure adjustment in Yunnan Province under the background of rural revitalization

MAO Zhao-qinga, CHEN Liang-zhenga, DONG Xiao-boa, YANG Fangb, LI Lianga   

  1. a. Institute of Agricultural Economy and Information; b. Institute of Agricultural Products Processing, Yunnan Academy of Agricultural Sciences,Kunming 650205, China
  • Received:2021-12-02 Online:2023-02-25 Published:2023-03-17

摘要: 选取2002—2019年云南省农作物播种面积、粮食作物播种面积、各类非粮食作物播种面积、蔬菜作物播种面积、蔬菜及其各类作物产量和居民鲜菜人均消费量等相关数据,运用灰色关联分析法对其关联度进行分析。结果表明,云南省居民人均鲜菜消费量与粮食作物、各类非粮食作物、蔬菜作物播种面积的关联度由大到小依次为烟叶作物、糖料作物、油料作物、粮食作物、其他作物和蔬菜作物。云南省居民人均鲜菜消费量与蔬菜内部各类作物产量的关联度由大到小依次为瓜类蔬菜、水生蔬菜类、白菜类蔬菜、根茎类蔬菜、叶菜类蔬菜、茄果类蔬菜、葱蒜类蔬菜、甘蓝类蔬菜和菜用豆类蔬菜。蔬菜作物播种面积调整对居民人均鲜菜消费量的关联度较小。蔬菜内部9大作物品种中,瓜菜类蔬菜、水生蔬菜类、白菜类蔬菜、根茎类蔬菜4种作物的产量与居民人均鲜菜消费量的关联度较大,其他5种作物的产量与居民人均鲜菜消费量的关联度较低。为加快云南省蔬菜产业转型升级,提出因地制宜调整优化种植业区域布局、紧跟市场需求变化调整蔬菜播种面积、挖掘地方特色培育高品质蔬菜等对策建议。

关键词: 乡村振兴, 云南省, 种植业结构调整, 鲜菜消费

Abstract: The relevant data of crop sowing area, grain crop sowing area, various non-grain crops sowing area, vegetable crop sowing area, vegetable and various crops output and residents’ per capita consumption of fresh vegetables in Yunnan Province were selected from 2002 to 2019, and the grey relational analysis method was used to analyze its correlation degree. The results showed that the correlation degree from large to small between the per capita fresh vegetable consumption of residents in Yunnan Province and the sowing area of grain crops, various non grain crops and vegetable crops were tobacco crops, sugar crops, oil crops, grain crops, other crops and vegetable crops. The correlation degree from large to small between the per capita fresh vegetable consumption of residents in Yunnan Province and the output of various crops in vegetables were melon vegetables, aquatic vegetables, chinese cabbage vegetables, rhizome vegetables, leafy vegetables, eggplant and fruit vegetables, scallion and garlic vegetables, cabbage vegetables and vegetable beans vegetables. The adjustment of vegetable planting area had a small correlation with residents’ per capita fresh vegetable consumption. Among the nine major crop varieties in vegetables, the output of melon vegetables, aquatic vegetables, chinese cabbage vegetables and rhizome vegetables had a large correlation with the per capita fresh vegetable consumption of residents. The output of the other five crops had a low correlation with the per capita fresh vegetable consumption of residents. In order to speed up the transformation and upgrading of Yunnan Province vegetable industry, some countermeasures and suggestions were put forward, such as adjusting and optimizing the regional layout of planting industry according to local conditions, adjusting vegetable sowing area closely following the changes of market demand, excavating local characteristics and cultivating high-quality vegetables.

Key words: rural revitalization, Yunnan Province, adjustment of planting structure, fresh vegetable consumption

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