| 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 |
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| 引用本文： | 王若禹,赵敏.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[J].农学学报,2022,12(2):92-100. |
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| 作者姓名： | 王若禹 赵敏 |
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| 作者单位： | 山西农业大学农业经济管理学院,山西太谷 030800 |
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| 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...
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| 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 |
| 收稿时间： | 2021-11-10 |
The Distribution Characteristics and Influencing Factors of Agriculture-related Leading Enterprises in Shanxi Province Under the Background of Rural Revitalization |
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| WANG Ruoyu,ZHAO Min.The Distribution Characteristics and Influencing Factors of Agriculture-related Leading Enterprises in Shanxi Province Under the Background of Rural Revitalization[J].Journal of Agriculture,2022,12(2):92-100. |
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| Authors: | WANG Ruoyu ZHAO Min |
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| Institution: | School of Agricultural Economics and Management, Shanxi Agricultural University, Taigu 030800, Shanxi, China |
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| 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. |
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| Keywords: | agricultural industrialization agriculture-related leading enterprises enterprise distribution kernel density estimation influencing factor |
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