| 中国粮食虚拟水驱动效应与空间联动分析 |
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| 引用本文： | 徐欣,葛宜虎.中国粮食虚拟水驱动效应与空间联动分析[J].水利经济,2018,36(6):31-36. |
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| 作者姓名： | 徐欣 葛宜虎 |
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| 作者单位： | 河海大学公共管理学院, 江苏南京 211100,江苏省徐州市新沂市水利局, 江苏 新沂 221400 |
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| 摘 要： | 以中国粮食虚拟水为主要研究对象,运用LMDI指数分解法,对粮食生产用水量的驱动效应进行分解,从结构、粮食产量、经济发展和人口规模4个重点驱动效应方面实行量化研究,并利用geoda软件求得莫兰指数,分析粮食用水量的空间相关性以及其各种驱动效应在省际间的影响,并针对中国粮食生产用水的现状提出建议。
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| 关 键 词： | 粮食 虚拟水 驱动因素 指数分解法 |
| 收稿时间： | 2018/4/17 0:00:00 |
Drivingeffect and spatial linkage of virtual water for grains in China |
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| XU Xin and GE Yihu.Drivingeffect and spatial linkage of virtual water for grains in China[J].Journal of Economics of Water Resources,2018,36(6):31-36. |
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| Authors: | XU Xin and GE Yihu |
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| Institution: | School of Public Administration, Hohai University, Nanjing 211100, China and Xinyi Water Conservancy Bureau of Xuzhou City of Jiangsu Province, Xinyi 221400, China |
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| Abstract: | Taking the virtual water for grains in China as the main research object, the LMDI index decomposition method is employed to decompose the driving effect of water consumption for grain production, and a quantitative study is carried out from the four key drivers of demand structure, grain production, economic development and population. The geoda software is used to obtain the Moran index to analyze the spatial correlation of food water use and the impact of various driving effects among provinces. Based on this, some recommendations are proposed for the current status of China''s virtual water for grains. |
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| Keywords: | grain virtual water driving effect exponential decomposition method |
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