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
机构地区:[1]昆明理工大学管理与经济学院,昆明650093
出 处:《人文地理》2016年第2期106-112,共7页Human Geography
基 金:国家自然科学基金项目(71463033);云南省哲学社会科学科规划课题(KKSK201308017);昆明理工大学人才培养基金资助项目(KKSY201308034)
摘 要:要:由于昆明市特殊的地理位置,对其与周边城市经济关联研究具有独特的意义。本文应用修正后的外联经济量与地缘经济关系模型,对昆明与国内外周边主要城市之间的经济进行匹配分析,划分出"经济联系—地缘经济关系"类型。结果表明,该市与曲靖、玉溪等滇中城市为强联系;从地缘经济关系上看,昆明与其他城市的明显互补型和竞争型关系存在较多的不确定性;对东南亚国家来说,和泰国、越南的联系强度大于老挝和缅甸。因此,依据匹配关系,昆明市经济发展应充分利用本地优势资源和未来巨大的可塑的城市合作空间,加强区域沟通,助力我国全方位开放新格局的形成。With the improvement of economy open standards, the economic connection and competition between cities is becoming increasingly fierce. Kunming is located in the southwest of China and adjacent Southeast Asian countries. Kunming is the bridge, which connects between China and Southeast Asia. So it is very important to analysis economic connection with Southeast Asian countries. The purpose of this paper is to analyse economic matching between Kunming and surrounding cities by the revised model of the outreach economy and geo-economic relation, then according to the results, putting forward relevant policy suggestions for economic development in Kunming. New indicators are added in the model, and on the basis of results we define a type of "economic ties—geo-economic relationship". The results show that: in China, the matching results between Kunming and surrounding cities are not very satisfactory. But these also highlight that the economic cooperation has a huge space for development in the future. The economic link between Kunming and the largest number of surrounding cities which are studied in this paper are very weak, excluding Qujing and Chuxiong. But these two cities with Kunming are in the same province, and there is a shorter distance between them. To some extent, the result reflects the formation process of Yunnan city circle. The geo-economic relationship shows that there is small difference on the number between complementary cities and competitive cities which is 24 and 16 respectively, but the percentage of uncertain cities is large, we can not ignore.
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:216.73.216.145