SPATIAL PATTERNS OF HENAN LOGISTICS INDUSTRY BASED ON A GEOGRAPHIC ANALYSIS OF BAIDU MAPS AND PANEL DATA
CHENG Xiu-juan1, LI Jing-jing2, YANG Jie-hui2,3, MIAO Chang-hong2
1. School of Finance and Economics, Kaifeng University, Kaifeng 475004, China;
2. Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng 475001, China;
3. Business School of Henan University, Kaifeng 475004, China
Abstract：From a traditional large agricultural province to an emerging industrial province, to the construction of a large logistics province, the logistics industry has become an important force to promote the economic development of Henan Province. However, along with the unbalanced development of regional economy and the policy tilt of the logistics industry, its spatial differentiation is also quite significant. Based on the concept of "logistics hotness degree", in August 2017, we obtained sample data of logistics hotness degree at the county level, using online data search and acquisition technology offered by Baidu Maps. We use the mean square method to determine the index weights, and choose three indicators including Logistics Industry Added Value, Freight Traffic, and Freight Ton-Kilometers to construct the logistics hotness degree index, which is complementary to sample data of logistics hotness degree at the prefecture level cities. Distribution of Henan logistics industry is analyzed based on the data above. The results of this research may provide some guidance to make spatial planning for logistics industry policy and logistics companies.
程秀娟, 李晶晶, 杨洁辉, 苗长虹. 河南省物流业空间格局——基于百度地图和面板数据[J]. 人文地理, 2018, 33(5): 114-122.
CHENG Xiu-juan, LI Jing-jing, YANG Jie-hui, MIAO Chang-hong. SPATIAL PATTERNS OF HENAN LOGISTICS INDUSTRY BASED ON A GEOGRAPHIC ANALYSIS OF BAIDU MAPS AND PANEL DATA. HUMAN GEOGRAPHY, 2018, 33(5): 114-122.
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