中国农业用水生态足迹的地区差异及影响因素:2000-2014
发布时间：2018-08-12 20:12
【摘要】：提高农业用水效率是缓解农业缺水、需水和用水问题的重要途径,也是影响农业经济发展以及全面小康社会建成的关键。采用水资源生态足迹模型,计算了2000-2014年中国农业用水生态足迹,利用Dagum基尼系数及其分解方法与Kernel密度方法实证考察了中国农业用水生态足迹的地区差异及演变趋势,并首次采用空间面板计量建模方法揭示了农业用水生态足迹的影响因素。研究发现:(1)中国农业用水生态足迹逐年降低,空间分布上,存在明显的地区差异,地区间差异是农业用水生态足迹总体地区差异的主要原因。(2)中国农业用水生态足迹存在较强的空间集聚特征。在诸多因素中,第一产业产值占比是影响中国农业用水生态足迹最重要的因素,人均水资源占有量和农业机械化程度对中国农业用水生态足迹有较显著影响。
[Abstract]:Improving the efficiency of agricultural water use is an important way to alleviate the problems of water shortage, water demand and water use in agriculture. It is also the key to the development of agricultural economy and the establishment of a well-off society in an all-round way. The ecological footprint of agricultural water in China from 2000 to 2014 was calculated by using the water resources ecological footprint model. The regional differences and evolution trends of the ecological footprint of agricultural water use in China were investigated by using the Dagum Gini coefficient and its decomposition method and Kernel density method. For the first time, spatial panel metrological modeling method was used to reveal the influencing factors of ecological footprint of agricultural water use. The results show that: (1) the ecological footprint of agricultural water use in China is decreasing year by year, and there are obvious regional differences in spatial distribution. Regional differences are the main reasons for the overall regional differences in the ecological footprint of agricultural water use. (2) there are strong spatial agglomeration characteristics of ecological footprint of agricultural water use in China. Among the many factors, the proportion of the output value of the primary industry is the most important factor affecting the ecological footprint of agricultural water use in China, and the amount of water resources per capita and the degree of agricultural mechanization have a significant impact on the ecological footprint of agricultural water use in China.
【作者单位】： 山东财经大学公共管理学院;
【基金】：国家社会科学基金青年项目“资源环境约束下农业用水效率评价及提升路径研究”(项目编号:15CGL041) 山东省高校人文社会科学研究项目“资源环境约束下山东省工业用水效率的测度及提升对策研究”(项目编号:J16YE06);山东省高校人文社会科学研究项目“山东省城市绿色发展效率及其协同提升路径研究”(项目编号:J16YE02) 山东省自然科学基金项目“山东省雾霾污染的城市间动态关联效应及协同治理机制研究:基于社会网络视角”(项目编号:ZR2016GM03)的阶段性成果
【分类号】：F323.213
[Abstract]:Improving the efficiency of agricultural water use is an important way to alleviate the problems of water shortage, water demand and water use in agriculture. It is also the key to the development of agricultural economy and the establishment of a well-off society in an all-round way. The ecological footprint of agricultural water in China from 2000 to 2014 was calculated by using the water resources ecological footprint model. The regional differences and evolution trends of the ecological footprint of agricultural water use in China were investigated by using the Dagum Gini coefficient and its decomposition method and Kernel density method. For the first time, spatial panel metrological modeling method was used to reveal the influencing factors of ecological footprint of agricultural water use. The results show that: (1) the ecological footprint of agricultural water use in China is decreasing year by year, and there are obvious regional differences in spatial distribution. Regional differences are the main reasons for the overall regional differences in the ecological footprint of agricultural water use. (2) there are strong spatial agglomeration characteristics of ecological footprint of agricultural water use in China. Among the many factors, the proportion of the output value of the primary industry is the most important factor affecting the ecological footprint of agricultural water use in China, and the amount of water resources per capita and the degree of agricultural mechanization have a significant impact on the ecological footprint of agricultural water use in China.
【作者单位】： 山东财经大学公共管理学院;
【基金】：国家社会科学基金青年项目“资源环境约束下农业用水效率评价及提升路径研究”(项目编号:15CGL041) 山东省高校人文社会科学研究项目“资源环境约束下山东省工业用水效率的测度及提升对策研究”(项目编号:J16YE06);山东省高校人文社会科学研究项目“山东省城市绿色发展效率及其协同提升路径研究”(项目编号:J16YE02) 山东省自然科学基金项目“山东省雾霾污染的城市间动态关联效应及协同治理机制研究:基于社会网络视角”(项目编号:ZR2016GM03)的阶段性成果
【分类号】：F323.213
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