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中国区域农业生产用能与农业经济增长关系研究
引用本文:胡莉莉,牛叔文,李怡涵,张馨.中国区域农业生产用能与农业经济增长关系研究[J].资源科学,2011,33(9):1768-1774.
作者姓名:胡莉莉  牛叔文  李怡涵  张馨
作者单位:兰州大学资源环境学院,兰州,730000
基金项目:中国国际科技合作项目(编号:2008DFA62040)。
摘    要:我国农业生产用能与农业产出具有明显的区域差异性,本文根据我国各省份1990年-2008年农业生产用能和农业产值数据,把我国划分为四类区域,并构筑面板数据模型进行相关研究。结果表明,各地区农业生产用能与农业经济增长均存在协整关系,模型分析进一步定量揭示各地区间农业生产用能与农业产出增长之间关系的差异,以及分区内部各省份之间也存在差异;详述了区域经济发展水平与农业经济增长关系的密切程度,以及继续增加农业投入与农业经济持续增长出现差异的原因。最后指出,在农业现代化普及地区,重点是提高农业物资利用效率和实施合理的种植结构,而在农业现代化中等及欠发达地区,应注重农业物资投入及效率提高。

关 键 词:区域  农业生产用能  农业经济  面板数据  关系
修稿时间:6/5/2011 12:00:00 AM

Investigating the Relationship between Agricultural Energy Consumption and Agricultural Economic Growth in Different Regions of China
HU Lili,NIU Shuwen,LI Yihan and ZHANG Xin.Investigating the Relationship between Agricultural Energy Consumption and Agricultural Economic Growth in Different Regions of China[J].Resources Science,2011,33(9):1768-1774.
Authors:HU Lili  NIU Shuwen  LI Yihan and ZHANG Xin
Institution:College of Earth and Environment Science Lanzhou University, Lanzhou 730000, China;College of Earth and Environment Science Lanzhou University, Lanzhou 730000, China;College of Earth and Environment Science Lanzhou University, Lanzhou 730000, China;College of Earth and Environment Science Lanzhou University, Lanzhou 730000, China
Abstract:Agricultural energy consumption and agricultural output show obvious regional differences in China. Based on data of agricultural energy consumption and agricultural output value during the period 1990 to 2008, the authors used cluster analysis methods to conceptually partition the entire country into four regions, i.e., high growth to high consumption (I), low growth to high consumption (II), low growth to low consumption (III), and high growth to low consumption (IV). Then a panel data model was built to unravel the relationship between agricultural energy consumption and agricultural output in different regions. Results show that the integrated characteristics between energy consumption and agricultural economic growth in different areas can generally be reflected by the four regions that high energy consumption areas are located mainly in the eastern region, but these areas are not necessarily high agricultural growth. Low energy consumption areas are located mainly in the western region, but these areas are not necessarily low agricultural growth. There exist co-integration relationships between agricultural energy consumption and agricultural output in each region. Differences in the relationship between agricultural energy consumption and economic growth for the four regions and different provinces in each region were revealed quantitatively by model analysis. From the model test results, it was found that the correlation coefficient is positive between agricultural energy consumption and economic growth in region I and region IV, whereas the correlation coefficient is negative in region II and region III. This demonstrates that energy consumption plays an important role in promoting agricultural economic growth in high growth to high consumption (I) and high growth to low consumption (IV); however, this rule cannot be applied to other regions. At the same time, the close degree of the relationship between agricultural energy consumption and economic growth was analyzed in detail, and the difference in agricultural output in different regions caused by increasing energy input was also taken into account. The energy efficiency is relatively low in developed areas of region II that has high energy consumption and low agricultural economic growth, and the agricultural energy input is insufficient in underdeveloped areas of region III and region IV. According to above results, some suggestions were put forward, i. e., improving efficiency of agricultural energy consumption in China; implementing reasonable development plans of agricultural energy use; and learning from each other among different regions. This study can provide a sound basis for promoting the efficiency of agricultural energy use and healthy development of agriculture in China.
Keywords:Region  Agriculture energy consumption  Agricultural economy  Panel date model  Relation
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