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2026, 09, v.41 50-64
Analysis of Agglomeration Situation and Influencing Factors of New Agricultural Formats:Based on the Perspective of Endowment Structure
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DOI: 10.20207/j.cnki.1007-3116.2026.0040
Published:   2026-09-10
Publication Date:   2026-09-10
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Abstract:

New agriculture formats,formed through the deep integration of digital technologies and traditional agriculture,plays an increasingly important role in promoting the transformation,upgrading of traditional agriculture,and ensuring sustainable agricultural development.Using the business types and operational scopes of firms within the industry as the classification criteria,we evaluate the clustering levels of new agriculture formats enterprises across China's counties from 2000 to 2024.Examining the spatial distribution patterns and clustering dynamics of these enterprises.Meanwhile by applying cluster analysis and quantile regression models,we further investigate the critical role of factor endowment structures in shaping the agglomeration of new agriculture formats,as well as the heterogeneity of such effects across different levels of agglomeration.The results show that:(1)During the observation period,the agglomeration level of new agriculture formats across counties continuously increased and gradually exhibited a multi-polarized distribution pattern.Regionally,these industries tended to concentrate in capital-intensive areas such as the central-eastern regions,the Yangtze River Delta,and the Pearl River Delta,whereas their clustering in land-intensive regions was relatively weak.(2)Further analysis demonstrates that factor endowment structures are key determinants of agglomeration,with relatively abundant capital being the most decisive factor,followed by labor,and finally land.(3)The effects of factor structures on agglomeration exhibit clear heterogeneity across different quantiles,with the importance of capital rising further as agglomeration levels increase.Therefore,local governments should formulate development strategies for new agriculture formats in line with their regional factor endowment characteristics to avoid resource misallocation resulting from blind transformation.At the same time,by cultivating high-level regional technology diffusion hubs,governments can promote coordinated development of new agriculture formats and foster a complementary and synergistic new agglomeration pattern.

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(1)依据天眼查官网和中国工商企业数据库测算所得。

(2)此处所提及的“区县总数”指国家统计局在线数据库所报告的2024年中国县级区划数量。相关数据来源于国家统计局官网:https://data.stats.gov.cn/dg/website/page.htm/#/pc/national/yearData。

(3)区域的划分标准为东部地区、西部地区、中部地区与东北地区;发展类型划分标准为农业强县与非农业强县。

(4)纬度、经度、农业新业态产业集聚水平分别为x、y和z轴。

(5)受限于篇幅,未列出农业新业态产业集聚水平变化率分布及区域分布图,留存备索。

(6)此处提及的“距坐标原点距离”是指以集聚水平均值和平均动态增长指数为横纵坐标轴所计算的原点距离。

(7)本文采用的范数为2-范数。

(8)在构建核心解释变量时均以劳动要素投入作为分母的好处在于:一是以劳动要素为分母的现实意义更加明显,即“人均资本”或“人均耕地”;二是同时以劳动作为两核心解释变量的分母有助于统一比较基准,即在探讨资本、劳动、土地三个核心要素的要素禀赋结构对农业新业态产业集聚水平的影响时,均以劳动要素作为比较基准,考察资本和土地要素相对于劳动要素的作用大小,进而得到农业新业态产业集聚活动对上述三种要素依赖程度的先后顺序。

(9)部分区县存在解释变量与控制变量大面积缺失的情况,本文在农业新业态产业集聚影响因素的分析过程中实际采用的区县数量为2 650个,占2024年全国县级行政区划总数的93.11%,具有一定的代表性。

(10)聚类簇数不断增加的比较基准是簇数为3。

(11)以各年农业新业态产业集聚水平的中位数为划分标准,若当年区县农业新业态产业集聚水平大于当年集聚水平的中位数,则该区县归于农业新业态产业集聚水平高值组,否则进入农业新业态产业集聚水平低值组。农业新业态产业集聚水平高值样本占比由不同簇内高值组样本数占簇全部样本数之比计算得出。

(12)图4中横轴虚线分别绘制了50%分位点处的估计系数,以及OLS的估计系数。能够发现,OLS估计结果与50%分位点处的估计结果存在较大的偏差,即资本密集程度与劳动密集程度对农业新业态产业聚集的作用效果并非是对称分布的,从侧面展现了本文选用分位数回归作为基准模型的必要性。

Basic Information:

DOI:10.20207/j.cnki.1007-3116.2026.0040

China Classification Code:F323

Citation Information:

[1]ZHAO Luben,DONG Kaijin,LIN Hai ,et al.Analysis of Agglomeration Situation and Influencing Factors of New Agricultural Formats:Based on the Perspective of Endowment Structure[J].Journal of Statistics and Information,2026,41(09):50-64.DOI:10.20207/j.cnki.1007-3116.2026.0040.

Fund Information:

国家社会科学基金重大项目“南南农业合作促进我国粮食安全的政策与机制研究”(22&ZD086)

Published:  

2026-09-10

Publication Date:  

2026-09-10

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