【目的】揭示我国经济林产业当前集聚的关联性特征、影响因素及作用效果,以制定科学合理的区域性导向政策,提升经济林产业的集聚效应,实现经济林产业乃至整个林业产业的高质量发展。【方法】根据产业集聚理论,运用空间计量方法,测度我国经济林产业集聚水平,分析经济林产业集聚的空间关联特征、影响因素及其作用效果。【结果】2014—2018年经济林产业集聚水平呈现波动上升状态;各省份的经济林产业集聚类型变化不大;苏、皖、浙、沪、闽、赣、湘表现出显著性的高值集聚,冀、宁基本呈现显著性高-低集聚,而甘、青、新地区表现出显著性低值集聚;从事经济林产业的中级及以上专业技术人员所占比重、林业产业总产值、经济林加工制造业产值所占比重、林业旅游与服务业产值所占比重、林业法人单位数、林业固定资产投资完成额对提升经济林产业集聚水平的影响较大,而人均主要经济林产品产量、城镇人口所占比率、乡村林场个数与经济林产业集聚度呈负相关关系。【结论】推进经济林产业链的延伸,可提高产业集聚水平;挖掘经济林文旅康养等功能,以提升产业集聚内涵;加强技术要素渗透力度,以充分发挥产业集聚效应;依据各省林业建设优势,积极调动影响产业高质量发展的有利因素。

【Objective】 This paper reveals the relevant characteristics, influencing factors, and effects of the current agglomeration of China’s non-wood forest industry. This will allow to form of scientific and reasonable regional guiding policies and enhance the agglomeration effects to realize the high-quality development of the economic forest industry.【Method】 Based on the theory of industrial agglomeration, this study determined the level of industrial agglomeration of non-wood forest industry in China, and analyzed its spatial correlation characteristics, influencing factors and its effects.【Result】 From 2014 to 2018, the agglomeration level of the non-wood forest industry has fluctuated and increased. However, types of agglomeration in the various provinces showed little change. The agglomeration of Jiangsu, Anhui, Zhejiang, Shanghai, Fujian, Jiangxi and Hunan have shown significantly high-value agglomeration, and the agglomeration of Hebei and Ningxia has shown significantly high- or low-value agglomeration; however, the Gansu, Qinghai and Xinjiang areas showed a significant low-value clustering. The proportion of technical personnel of intermediate level and above, the total output value of forestry industry, the output value of non-wood forest industry processing and the manufacturing industry, the output value of forestry tourism and the service industry, the number of forestry impersonal entities, and the investment of forestry fixed assets have greater impacts on the promotion of the agglomeration level. The per capita output of main non-wood forest products, the proportion of the urban population, and the number of rural forest farms are negatively correlated with the non-wood forest industry agglomeration.【Conclusion】 On the basis of the spatial perspectives, we can improve the level of industrial agglomeration by promoting the extension of the non-wood forest industry chain; enhance the connotation of industrial agglomeration by exploring the functions of the non-wood forest industry in culture, tourism, health and conservation; and promote the effects of industrial agglomeration by strengthening the participation of technological elements. Thus, in response to the advantages of forestry construction in each province, the favourable factors affecting the development of this industry are actively mobilized to ultimately promote the high-quality development of the economic forestry industry.