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基于因子分析法的区域生猪产业竞争力研究 被引量:4

Research on competitiveness of regional pig industry based on factor analysis
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摘要 为了增加生猪产能,促进我国生猪产业的高质量和可持续发展,本研究选取2019年我国31个省份(自治区、直辖市)与生猪产业竞争力发展相关的14个指标,以产业竞争力模型为理论依据,采用SPSS 20.0软件,运用因子分析法对我国31个省份(自治区、直辖市)的生猪产业竞争力进行分析。结果表明:生产要素因子(F_(1))对生猪产业竞争力综合排名影响最大,需求条件因子(F_(2))对生猪产业竞争力综合排名影响较大,企业战略、结构和同业竞争因子(F_(3))对生猪产业竞争力综合排名影响较小,相关与支持性产业因子(F_(4))对生猪产业竞争力综合排名影响最小。生猪产业竞争力综合排名前10位的省份分别是广东、四川、河南、山东、湖南、黑龙江、湖北、江苏、安徽、云南,F_(综)得分在0.29~1.07分之间;F_(1)排名前10位的省份(自治区)分别是四川、河南、湖南、山东、广东、云南、湖北、河北、安徽、广西,F_(1)得分在0.48~2.02分之间,说明这10个省份的生产要素水平较高;F_(2)排名前10位的省份(直辖市)分别是上海、广东、北京、浙江、江苏、福建、天津、重庆、四川、海南,F_(2)得分在0.08~2.56分之间,说明这10个省份(直辖市)的需求条件水平较高;F_(3)排名前10位的省份(自治区、直辖市)分别是黑龙江、辽宁、上海、内蒙古、湖北、吉林、广西、云南、海南、安徽,F_(3)得分在-0.10~4.75分之间,说明这10个省份(自治区、直辖市)的企业战略、结构和同业竞争水平较高;F_(4)排名前10位的省份(自治区)分别是河南、山东、山西、江苏、新疆、黑龙江、安徽、青海、河北、浙江,F_(4)得分在0.56~1.98分之间,说明这10个省份(自治区)的相关与支持性产业水平较高。鉴于此,笔者提出提升生猪养殖的规模经济效益,促进地区经济增长、提高居民收入水平、减少城乡收入差距,提高人力资源质量,提升相关与支持性产业竞争力的对策建议。 In order to increase the production capacity of pigs and promote the high-quality and sustainable development of China’s pig industry,in this study,14 indicators related to the competitiveness development of China’s pig industry in 31 provinces(autonomous regions and municipalities)in 2019 were selected.Based on the industrial competitiveness model and SPSS 20.0 software,the pig industry competitiveness of 31 provinces(autonomous regions and municipalities)in China was analyzed by factor analysis and principal component analysis.The results showed that production factor(F_(1))had the greatest influence on the comprehensive ranking of pig industry competitiveness;demand condition factor(F_(2))had the greatest influence on the comprehensive ranking of pig industry competitiveness;enterprise strategy,structure and peer competition factor(F_(3))had little influence on the comprehensive ranking of pig industry competitiveness,and related and supporting industries factor(F_(4))had the least influence on the comprehensive ranking of pig industry competitiveness.The top 10 provinces in the overall competitiveness of the live pig industry were Guangdong,Sichuan,Henan,Shandong,Hunan,Heilongjiang,Hubei,Jiangsu,Anhui and Yunnan,with F_(com) scores ranging from 0.29 to 1.07.The top 10 provinces(autonomous regions)of F_(1) were Sichuan,Henan,Hunan,Shandong,Guangdong,Yunnan,Hubei,Hebei,Anhui and Guangxi,with scores ranging from 0.48 to 2.02,indicating that these 10 provinces had a high level of production factors.The top 10 provinces(municipalities)of F_(2) were Shanghai,Guangdong,Beijing,Zhejiang,Jiangsu,Fujian,Tianjin,Chongqing,Sichuan and Hainan,with F_(2) scores ranging from 0.08 to 2.56,indicating that the demand condition level of these 10 provinces(municipalities)was relatively high.The top 10 provinces(autonomous regions and municipalities)of F_(3) were Heilongjiang,Liaoning,Shanghai,Inner Mongolia,Hubei,Jilin,Guangxi,Yunnan,Hainan and Anhui,with F_(3) scores ranging from-0.10 to 4.75,indicating that the enterprise strategy,structure and level of industry competition of these 10 provinces(autonomous regions and municipalities)were relatively high.The top 10 provinces(autonomous regions)of F_(4) were Henan,Shandong,Shanxi,Jiangsu,Xinjiang,Heilongjiang,Anhui,Qinghai,Hebei and Zhejiang,with F_(4) scores ranging from 0.56 to 1.98,indicating that these 10 provinces(autonomous regions)had a high level of auxiliary industries.In view of this,countermeasures and suggestions were put forward to improve the scale economy benefit of pig breeding,promote regional economic growth,improve residents’income level,reduce the income gap between urban and rural areas,improve the quality of human resources,and enhance the competitiveness of related and supporting industries.
作者 张丹 ZHANG Dan(College of Economic Management,Jilin Agricultural Science and Technology University,Jilin 132101,China)
出处 《黑龙江畜牧兽医》 CAS 北大核心 2022年第10期9-15,共7页 Heilongjiang Animal Science And veterinary Medicine
关键词 因子分析法 生猪产业 竞争力 养殖模式 经济发展 factor analysis pig industry competitiveness breeding mode economic development
作者简介 张丹(1978-),女,讲师,硕士,研究方向为企业管理和金融学,389927861@qq.com.
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