School of Architecture and Urban Planning, Shandong Jianzhu University, Jinan, China.
PLoS One. 2023 Sep 20;18(9):e0291691. doi: 10.1371/journal.pone.0291691. eCollection 2023.
Investigating the spatial distribution characteristics and influencing factors of various industry types is critical for promoting the high-quality transformation and development of China's industry. This study combined the Getis-Ord Gi* statistic method, the random forest-based importance assessment method, and the geographically weighted regression method to determine the spatial distribution characteristics of four industry types and their influencing factors. The results revealed that the raw material industry was primarily concentrated in the surrounding districts and counties of Linyi and Qingdao. The food and light textile industry was mainly concentrated in the surrounding districts and counties of Qingdao, and a few were concentrated in some counties of Linyi. The processing and manufacturing industry was also concentrated in the surrounding districts and counties of Qingdao, and a few were concentrated in the belt regions connecting Jinan, Zibo, and Weifang. The high-tech industry was mainly concentrated in the surrounding districts and counties of Jinan and Qingdao. The key spatial influencing factors of the four industry types were different. The number of employees in the secondary industry and road density were most important in determining the spatial distribution of the raw material industry. The financial environment and number of research institutions were most important to the spatial distribution of the food and light textile industry. The gross domestic product and number of medical facilities were most important to the spatial distribution of the processing and manufacturing industry. Urbanization rate, number of research institutions, and gross domestic product were most important to the spatial distribution of the high-tech industry. Geographically weighted regression analysis revealed that the impact intensity of these key factors on the industry exhibits significant spatial heterogeneity. Taken together, these results are useful for formulating the development strategy for each industrial type in different regions.
研究各类产业类型的空间分布特征及其影响因素，对于推动我国产业的高质量转型发展至关重要。本研究结合 Getis-Ord Gi* 统计量、基于随机森林的重要性评估方法和地理加权回归方法，确定了四类产业类型的空间分布特征及其影响因素。结果表明，原材料产业主要集中在临沂和青岛周边的区县；食品和轻纺产业主要集中在青岛周边的区县，少数集中在临沂的一些县；加工制造业也集中在青岛周边的区县，少数集中在连接济南、淄博和潍坊的带状区域；高科技产业主要集中在济南和青岛周边的区县。四类产业类型的关键空间影响因素不同，第二产业的从业人员数量和道路密度对原材料产业的空间分布影响最大，金融环境和研究机构数量对食品和轻纺产业的空间分布影响最大，国内生产总值和医疗设施数量对加工制造业的空间分布影响最大，城市化率、研究机构数量和国内生产总值对高科技产业的空间分布影响最大。地理加权回归分析表明，这些关键因素对产业的影响强度具有显著的空间异质性。综上所述，这些结果有助于制定不同地区各类产业类型的发展战略。
