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影响我国经济增长的四要素分析
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作者 潘吉明 《广东行政学院学报》 2003年第4期61-63,77,共4页
信息、劳动、资本和能源都是十分重要的经济资源。但用SPSS软件对我国有关统计数据进行回归分析 ,结果发现能源和资本对我国经济增长的贡献最大 ,劳动力的增长对经济增长的作用统计上明显 ,而信息资源的增长与我国的经济增长呈负相关。
关键词 对数线性模型 信息资源系数 新增长理论
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STUDY ON THE FRAMEWORK SYSTEM OF DIGITAL AGRICULTURE 被引量:9
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作者 LIANGYong LUXiu-shan +2 位作者 ZHANGDe-gui LIANGFu RENZhi-bo 《Chinese Geographical Science》 SCIE CSCD 2003年第1期15-19,共5页
China is a great agricultural country with large population, limited soilresources and traditional farming mode, so the central government has been attaching greatimportance to the development of agriculture and put f... China is a great agricultural country with large population, limited soilresources and traditional farming mode, so the central government has been attaching greatimportance to the development of agriculture and put forward a new agricultural technologyrevolution ― the transformation from traditional agriculture to modern agriculture and fromextensive farming to intensive farming. Digital agriculture is the core of agriculturalinformatization. The enforcement of digital agriculture will greatly promote agricultural technologyrevolution, two agricultural transformations and its rapid development, and enhance China'scompetitive power after the entrance of WTO. To carry out digital agriculture, the frame system ofdigital agriculture is required to be studied in the first place. In accordance with the theory andtechnology of digital earth and in combination with the agricultural reality of China, this articleoutlines the frame system of digital agriculture and its main content arid technology support. 展开更多
关键词 digital agriculture framework system 3S technology spatial data
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Comprehensive Assessment on Tourism Eco-environment of Gansu Province Based on Spatial Data 被引量:1
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作者 Wang Lili Dong Suocheng +2 位作者 Li Yu Wang Peixian Qi Xiaoming 《Chinese Journal of Population,Resources and Environment》 2009年第2期32-36,共5页
The article studies tourism eco-environment of 14 cities of Gangsu Province, China, based on GIS with many kinds of multi-subject spatial database, such as remote sensing data, observation data and literature data. Th... The article studies tourism eco-environment of 14 cities of Gangsu Province, China, based on GIS with many kinds of multi-subject spatial database, such as remote sensing data, observation data and literature data. The research results were as follows. First, spatial features of 14 cities' tourism eco-environment are displayed with five levels of vulnerability respectively. The vulnerability in Gansu becomes worse from Gannan City, located in southern Gansu to Hexi Corridor which lies in northwestern Gansu. Second, the areas of above the middle vulnerability level make up 75% of the total areas of Gansu Province. Third, more than 70% of high-level human and natural tourism resources are in the areas with high vulnerability eco-environment. Fourth, it is crucial to develop comprehensive tourism industry in order to improve the harmonious development between tourism industry and eco-environment in Gansu Province. 展开更多
关键词 tourism eco-environment ASSESSMENT GIS
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