摘要
本文选取我国2017-2021年31个省份的面板数据,运用全局主成分分析法对林业产业竞争力展开研究,并采用系统聚类的方法将31个省份划分为3类,对我国林业产业竞争力进行区域差异分析。研究结果表明:平均综合得分位列前5的省份分别是广西、黑龙江、云南、福建和广东,虽然贵州和陕西等地区平均综合得分也大于0,但发展缓慢,另外对于西藏和青海等地区虽有良好的自然资源优势,但平均综合得分仍小于0,说明我国各地区之间的竞争力水平仍存在差异。因此,应加强各区域间的合作和交流,因地制宜发展相关地区的政策,合理规划产业结构。
This paper selects the panel data of 31 provinces in China from 2017 to 2021,uses the global principal component analysis method to study the competitiveness of the forestry industry,and adopts the systematic clustering method to divide the 31 provinces into 3 categories,and analyzes the regional differences of the competitiveness of the forestry industry in China.The results show that:The top 5 provinces in terms of average comprehensive score are Guangxi,Heilongjiang,Yunnan,Fujian and Guangdong respectively.Although the average comprehensive score of Guizhou and Shaanxi also greater than 0,the development is slow.In addition,although Tibet and Qinghai have good advantages in natural resources,the average comprehensive score is still less than 0,indicating that there are still differences in the level of competitiveness among different regions in China.Therefore,it is necessary to strengthen the cooperation and exchange between different regions,develop the relevant regional policies according to local conditions,and rationally plan the industrial structure.
作者
张良勇
杜雷
关慧
ZHANG Liangyong;DU Lei;GUAN hui(College of Statistics and Mathematics,HeBei University of Economics and Business Shijiangzhuang,Hebei 050061)
出处
《现代农业研究》
2024年第4期1-7,共7页
Modern Agriculture Research
基金
河北省教育厅科学研究项目资助“河北省数字农业发展效率的非参数统计研究”(项目编号:ZD2022062)。
关键词
全局主成分分析
林业产业
系统聚类
竞争力
global principal component analysis
forestry industry
systematic clustering
competitiveness