中国农业科学 ›› 2014, Vol. 47 ›› Issue (23): 4745-4753.doi: 10.3864/j.issn.0578-1752.2014.23.019

• 农业经济与管理 • 上一篇    下一篇

中国绿色食品产业发展水平的地区差异及影响因素分析

黄漫宇1,2,彭虎锋1,2   

  1. 1中南财经政法大学工商管理学院,武汉 430073
    2中南财经政法大学信息与安全工程学院,武汉 430073
  • 收稿日期:2014-09-02 修回日期:2014-11-04 出版日期:2014-12-01 发布日期:2014-12-01
  • 作者简介:黄漫宇,Tel:15307119767;E-mail:huang.manyu@foxmail.com
  • 基金资助:
    湖北省教育厅人文社科研究项目(14G041)、湖北省WTO研究中心2013年度研究项目

Regional Differences and Influential Factors of the Development of China’s Green Food Industry

HUANG Man-yu1,2, PENG Hu-feng1,2   

  1. 1School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073
    2School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073
  • Received:2014-09-02 Revised:2014-11-04 Online:2014-12-01 Published:2014-12-01

摘要: 【目的】评价全国30个省、自治区、直辖市绿色食品产业发展程度,分析其地区差异以及绿色食品产业发展各影响因素对产业发展水平的影响程度,为全面了解中国各地区绿色食品产业的发展水平并制定区域性的绿色食品产业政策提供科学依据。【方法】采用主成分分析法建立评价指标体系,评价绿色食品产业的发展程度,并运用聚类分析依据绿色食品产业的发展程度将全国30个省、自治区、直辖市分类,运用灰色关联分析法计算在发展程度不同的地区,各影响因素与绿色食品产业发展水平的关联程度。【结果】对全国30个省、自治区、直辖市,按照绿色食品产业发展程度的整体评价值将其分为发展程度高、中、低3组,发展程度高的组包括山东省等11个地区,发展程度中等的组包括陕西等8个地区,发展程度较低的组包括重庆等11个地区。绿色食品产业发展程度与经济发展水平关联系数达到70%。各影响因素与绿色食品产业发展的关联程度表现为:市场需求,企业战略、结构与竞争对手这两个因素的影响程度随着绿色食品产业发展水平的降低而下降,灰色关联度分别由0.298降到0.189、0.233降到0.125;资源条件、政策支持这两个因素的影响程度随着绿色食品产业发展水平的降低而上升,灰色关联度分别由0.125上升到0.218、0.183上升到0.220。【结论】绿色食品产业发展水平存在明显的地区差异,产业发展水平与地区经济发展水平紧密关联。市场需求,资源条件,企业战略、结构与竞争对手,相关产业与支撑产业,政策支持这5个因素在绿色食品产业发展程度不同的地区所产生的影响差异明显,这决定了绿色食品产业发展程度不同的地区,在制定产业发展政策时应考虑这一影响差异,确定不同的产业发展重点。

关键词: 绿色食品产业, 钻石模型, 影响因素, 灰色关联

Abstract: 【Objective】 This paper is to evaluate the development level of green food industry of the 30 provinces, autonomous regions, municipalities directly under the central government of China, and to study the regional differences. It also aims to analyze the different influential effects of the factors on the level of the development of green food industry in different regions. The conclusions of the paper help to comprehensively understand the regional development of green food industry and give references to the formulation of regional policies that aim to promote the development of green food industry. 【Method】 The principal component analysis was used to evaluate the regional development level of green food industry. Clustering analysis was adopted to categorize the regions on the basis of the development level of green food industry. Grey correlation analysis was implemented to calculate the influential degree of the influential factors on the development of green food industry in different regions. 【Result】 The 30 provinces, autonomous regions, municipalities directly under the central government were categorized into three groups. The developed group includes Shandong and other 10 regions, the developing group includes Shaanxi and other 7 regions, and the under-developed group includes Chongqing and other 10 regions. The development level of green food industry relates closely to the development degree of regional economy, the correlation index amounts to 70%. The influential effect of market demand and industry structure decreases with the decreasing of the development level of green food industry, the grey correlation grade decreases from 0.298 to 0.189 and 0.233 to 0.125, respectively. While the influential effect of resource conditions and policy support increases with the decreasing of the development level of green food industry, the grey correlation grade increases from 0.125 to 0.218 and 0.183 to 0.220, respectively.【Conclusion】The development of green food industry relates closely with the development level of regional economy. The influential effect of the five factors (market demand, resource condition, industry structure, related industry and policy support) on the development of green food industry is various in different regions, and it proves that the focus of policy should be different in different regions according to the influential differences.

Key words: green food industry, diamond model, influential factors, grey correlation