检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:王英利[1,2] 朱烨明 娄彩荣[1,2] 游珍 Wang Yingli;Zhu Yeming;Lou Cairong;You Zhen(School of Geographical Sciences,Nantong University,Nantong 226007,Jiangsu,China;Nantong Key Laboratory of Spatial Information Technology R&D&Application,Nantong 226007,Jiangsu,China;School of Economics&Management,Nantong University,Nantong 226007,Jiangsu,China)
机构地区:[1]南通大学地理科学学院,江苏南通226007 [2]南通大学南通市空间信息技术研发与应用重点实验室,江苏南通226007 [3]南通大学经济与管理学院,江苏南通226007
出 处:《江苏师范大学学报(自然科学版)》2020年第4期30-33,共4页Journal of Jiangsu Normal University:Natural Science Edition
基 金:国家自然科学基金资助项目(41001355);江苏省高校哲学社会科学研究项目(06SJD790011);南通市哲学社会科学研究资助基金(2011BNT008)。
摘 要:农业在江苏北部地区经济社会发展中占有重要地位,经济社会发展对农业的依存强度是一个重要指标.以江苏省盐城市为样本,研究经济社会发展对农业依存强度的变化及其与农业产业结构的关系,揭示农业主要指标、产业结构变化对农业依存度变化的影响.1998—2017年盐城市农业依存度变化范围为0.281~0.417,其中2017年最低,2000年最高.研究期内农业依存度虽有一定波动,但整体呈下降趋势.利用灰色关联法分析发现:农业依存度与农业收入占比、农业产值占比高度相关;1998—2007年农业依存度与种植业和渔业关联最强;2008—2017年农业依存度与种植业和畜牧业关联最强.研究拓展了农业依存度研究领域,丰富和完善了农业依存度研究体系.Agriculture occupies an important position in the economic and social development of northern Jiangsu,and the dependence intensity of economic and social development on agriculture is an important indicator.Selecting Yancheng city as the research sample,the changes of the dependence,as well as the relationship between the changes of agricultural dependence and the agricultural structure,are studied,and the influence for changes of main agricultural indicators and industrial structure on the dependence is revealed.In fact,the agricultural dependences varied between 0.281 and 0.417 from 1998 to 2017.It reached the highest value in 2000 and the lowest in 2017.During the study period,the overall agricultural dependence has the trend of decline,but there is a certain volatility conclusion.Using the gray correlation analysis,it is found that the degree of agricultural dependence is highly correlated with the proportion of agricultural income and the proportion of agricultural output value.The correlation with planting and fishery was the strongest from 1998 to 2007,and the correlation with planting and animal husbandry was the strongest from 2008 to 2017.This research has expanded the field of agricultural dependence,and further enriched and perfected the system of agricultural dependence.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:3.137.180.196