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农学学报 ›› 2022, Vol. 12 ›› Issue (2): 92-100.doi: 10.11923/j.issn.2095-4050.cjas2021-0179

所属专题: 美丽乡村建设 现代农业发展与乡村振兴

• 乡村振兴 • 上一篇    

乡村振兴背景下山西省涉农龙头企业分布特征及影响因素研究

王若禹(), 赵敏()   

  1. 山西农业大学农业经济管理学院,山西太谷 030800
  • 收稿日期:2021-11-10 出版日期:2022-02-20 发布日期:2022-03-16
  • 通讯作者: 赵敏 E-mail:745607924@qq.com;sxaujmxyzm@163.com
  • 作者简介:王若禹,男,1995年出生,山西榆次人,在读硕士研究生,研究方向:农林经济管理。通信地址:030800 山西省晋中市太谷区铭贤南路1号 山西农业大学,E-mail: 745607924@qq.com

The Distribution Characteristics and Influencing Factors of Agriculture-related Leading Enterprises in Shanxi Province Under the Background of Rural Revitalization

WANG Ruoyu(), ZHAO Min()   

  1. School of Agricultural Economics and Management, Shanxi Agricultural University, Taigu 030800, Shanxi, China
  • Received:2021-11-10 Online:2022-02-20 Published:2022-03-16
  • Contact: ZHAO Min E-mail:745607924@qq.com;sxaujmxyzm@163.com

摘要:

分析涉农龙头企业的空间分布对考量地区现代农业发展水平有重要指导意义。本研究以山西省省级涉农龙头企业为研究对象,利用核密度估计、局部热点分析等地理学分析方法对其空间分布与聚集特征进行研究,并运用多元回归分析判断哪些因素会影响涉农龙头企业的布局。研究发现,山西省涉农龙头企业呈现出向晋中地区聚集的特征,并在太原市、晋中市、吕梁市三市交界地带形成了较为明显的热点区域,而冷点区域则零散分布在太原市西北与忻州市中部。在影响因素方面,公路总里程、农业机械总动力与社会消费品零售总额对涉农龙头企业的布局有明显的正向影响,城镇化率则与涉农龙头企业布局呈现出负相关关系,并据此提出了发挥热点区企业辐射效应、完善省域交通设施、改善农业生产条件、打造地区知名品牌、解决农村人口流失问题等建议。

关键词: 农业产业化, 涉农龙头企业, 企业分布, 核密度分析, 影响因素

Abstract:

The analysis of the spatial distribution of agriculture-related leading enterprise has guiding significance for understanding the regional modern agricultural development level. The study took agricultural-related leading enterprises in Shanxi Province as the research objects, used geographic analysis methods such as kernel density estimation and local hotspot analysis to study their spatial distribution and aggregation characteristics, and used multiple regression analysis to determine the factors which would affect the distribution of agriculture-related leading enterprises. The results show that the agricultural-related leading enterprises in Shanxi Province gather in the central of the province and form obvious hot spots in the junction of Taiyuan, Jinzhong and Lvliang, while the cold spots are scattered in the northwest of Taiyuan and the middle part of Xinzhou. In terms of influencing factors, the total mileage of highway, agricultural machinery total power and the total retail sales of social consumer goods show clear positive effects on the layout of the leading enterprises, while urbanization rate is negatively correlated with the layout. According to the above analysis results, the study puts forward suggestions such as giving full play to the radiation effect of the leading enterprises in hot spots, upgrading provincial transportation facilities, improving agricultural production conditions, building regional famous brands and addressing the problem of rural population loss.

Key words: agricultural industrialization, agriculture-related leading enterprises, enterprise distribution, kernel density estimation, influencing factor