中国林业企业空间分异特征及影响因素分析  

Analysis of Spatial Differentiation Characteristics and Influencing Factors of Forestry Enterprises in China

作　　者：马强 倪红红 李卫忠[4] 李军 苏祥祥 祝雪晴 刘吉凯 李新伟 Ma Qiang;Ni Honghong;Li Weizhong;Li Jun;Su Xiangxiang;Zhu Xueqing;Liu Jikai;Li Xinwei(College of Resources and Environment,Anhui Science and Technology University,Chuzhou 233100,China;Anhui Agricultural Waste Fertilizer Utilization and Cultivated Land Quality Improvement Engineering Research Center,Chuzhou 233100,China;Research Office,Anhui Science and Technology University,Chuzhou 233100,China;College of Forestry,Northwest A&F University,Yangling 712100,China;Anhui Province Engineering Research Center for Intelligent Cultivation and Processing of Crops,Chuzhou 233100,China)

机构地区：[1]安徽科技学院资源与环境学院,安徽滁州233100 [2]安徽省农业废弃物肥料化利用与耕地质量提升工程研究中心,安徽滁州233100 [3]安徽科技学院科研处,安徽滁州233100 [4]西北农林科技大学林学院,陕西杨凌712100 [5]安徽省作物智慧种植与加工技术工程研究中心,安徽滁州233100

出　　处：《南京师大学报（自然科学版）》2024年第4期39-47,共9页Journal of Nanjing Normal University(Natural Science Edition)

基　　金：安徽省高校自然科学研究项目(2023AH051855);安徽科技学院引进人才项目(ZHYJ202208);校级高原学科—资源与环境(XK-XJGY001);安徽省作物智慧种植与加工技术工程研究中心开放课题(ZHKF03)。

摘　　要：林业企业空间分异特征和影响因素分析有助于促进林业产业的整体发展,进而为生态文明建设和经济社会发展奠定坚实的基础.基于中国林业企业数据,采用平均最近邻、局部莫兰指数、热点分析等空间分析方法,探讨了林业企业的空间分异特征;对比普通最小二乘法(OLS)模型、多尺度地理加权回归(MGWR)模型的结果精度,探讨了林业企业分布数量影响因素的空间异质性,揭示了不同因素的影响作用.结果表明:(1)中国林业企业在空间上的集聚特征比较明显,近年来集聚程度不断增强.(2)中国林业企业局部关联特征变化较为显著,东北、西南热点集聚区数量大幅减少,东南热点集聚区始终保持较大规模.(3)从林业企业分布数量的影响因素看,常住人口数量、专利授权数、绿地面积、园地面积、林地面积等具有正向作用,公路密度和货物进出口总额与林业企业数量主要呈负相关,林业企业更多地受到资源分布和市场需求的影响,公路交通在林业企业的选址中不具有优势地位.研究结果可为中国林业企业的空间布局优化提供支撑,为林业产业政策制定与产业规划提供参考.The analysis of spatial differentiation characteristics and influencing factors of forestry enterprises promotes the overall development of the forestry industry,thereby laying a solid foundation for ecological civilization and economic and social development.Utilizing data from forestry enterprises in China,this paper explores the spatial differentiation characteristics using spatial analysis methods such as average nearest neighbor,local Moran index,and hotspot analysis,compares the precision of results from ordinary least squares(OLS)model and multi-scale geographically weighted regression(MGWR)model,and explores the spatial heterogeneity of factors influencing the distribution of forestry enterprises revealing the influence of different factors.The results show that:(1)The spatial agglomeration of forestry enterprises in China is evident,and the degree of agglomeration has been increasing in recent years.(2)Changes in the local correlation characteristics of forestry enterprises in China are more pronounced,with the distribution quantity of hotspot agglomerations in the Northeast and Southwest shrinking considerably,and hotspot agglomerations in the Southeast consistently maintaining a large-scale.(3)Regarding factors influencing the distribution of forestry enterprises,the number of residents,the number of authorized patents,green land area,garden area,and forest area positively influence distribution.Conversely,highway density and the total amount of imports and exports are mainly negatively correlated with the number of forestry enterprises.Forestry enterprises are more influenced by resource distribution and market demand.Highway traffic does not favor the location of forestry enterprises.The results of this study can support the optimization of the spatial layout of forestry enterprises in China and provide references for the formulation of forestry industry policies and industrial planning.

关 键 词：林业企业 空间自相关 多尺度地理加权回归模型 影响因素 

分 类 号：F326.25[经济管理—产业经济]