Analysis on industrial agglomeration of China’s non-wood forest based on spatial perspectives

CHEN Jingjing, LI Song, DING Sheng, WU Mengdi, ZHAO Qingjian

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2023, Vol. 47 ›› Issue (2) : 159-166.

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JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2023, Vol. 47 ›› Issue (2) : 159-166. DOI: 10.12302/j.issn.1000-2006.202108048

Analysis on industrial agglomeration of China’s non-wood forest based on spatial perspectives

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Abstract

【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.

Key words

non-wood forest industry / industrial agglomeration / agglomeration influencing effect / agglomeration factor / spatial lag model

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CHEN Jingjing , LI Song , DING Sheng , et al . Analysis on industrial agglomeration of China’s non-wood forest based on spatial perspectives[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2023, 47(2): 159-166 https://doi.org/10.12302/j.issn.1000-2006.202108048

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