甘肃省水资源时空匹配现状分析
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摘要
依据2013～2015年甘肃省水资源与人口、GDP、耕地面积等社会经济要素数据,通过经济学分配论中的洛伦兹曲线、基尼系数以及引入的不平衡指数对甘肃省水资源与社会经济要素的时空匹配现状进行了分析.一方面,洛伦兹曲线和基尼系数的结果说明水资源配置在一定程度上改善了水资源分布的不均衡性,尤其是水资源分布与GDP之间不均衡性的改善效果最为显著,但水资源配置与社会经济要素的基尼系数仍然在"警戒线"值0.4以上,水资源分配仍处于不合理的状态;另一方面,以2015年为例计算得到的不平衡指数表明不同区域水资源与社会经济要素的不平衡程度各有侧重,经过水资源配置,总体不平衡性最大的区域为河西地区.
Based on the data of water resources and socio-economic factors such as population, GDP and agricultural acreage in Gansu Province from 2013 to 2015, the spatio-temporal matching problem between water resources and socio-economic factors in Gansu Province was analyzed by Lorenz curve, Gini coefficient in the theory of economic allocation and the introduced imbalance index. The results of Lorentz curve and Gini coefficient show that water resources allocation has improved the imbalance of water resources distribution to a certain extent, especially the imbalance between water resources distribution and GDP. However, all of the Gini coefficients between water resources allocation and socio-economic factors are greater than 0.4, exceeding the "warning line", and the allocation of water resources is still in an unreasonable status. On the other hand, the imbalance index calculated in 2015 shows that the imbalance degree of water resources and socio-economic factors in different regions has different emphasis. After the allocation of water resources, the imbalance degree in Hexi is the largest.
Based on the data of water resources and socio-economic factors such as population, GDP and agricultural acreage in Gansu Province from 2013 to 2015, the spatio-temporal matching problem between water resources and socio-economic factors in Gansu Province was analyzed by Lorenz curve, Gini coefficient in the theory of economic allocation and the introduced imbalance index. The results of Lorentz curve and Gini coefficient show that water resources allocation has improved the imbalance of water resources distribution to a certain extent, especially the imbalance between water resources distribution and GDP. However, all of the Gini coefficients between water resources allocation and socio-economic factors are greater than 0.4, exceeding the "warning line", and the allocation of water resources is still in an unreasonable status. On the other hand, the imbalance index calculated in 2015 shows that the imbalance degree of water resources and socio-economic factors in different regions has different emphasis. After the allocation of water resources, the imbalance degree in Hexi is the largest.
引文
[1]张吉辉,李健,唐燕.中国水资源与经济发展要素的时空匹配分析[J].资源科学,2012,34(8):1546-1555.
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[8]施卫国.一种简易的基尼系数计算方法[J].江苏统计,1997,(2):16-18.
[9]高进云,张安录,杨钢桥.湖北省城镇化地域差异的实证研究[J].中国人口·资源与环境,2006,16(4):107-111.
[2]徐黎丽,王悦.“一带一路”建设中甘肃“黄金段”作用的发挥[J].西北师范大学学报,2015,52(6):22-28.
[3]刘昌明,王红瑞.浅析水资源与人口、经济和社会环境的关系[J].自然资源学报(社会科学版),2003,18(5):635-644.
[4]左其亭,赵衡,马军霞,等.水资源利用与经济社会发展匹配度计算方法及应用[J].水利水电科技进展,2014,34(6):1-6.
[5]高鸿业.西方经济学:微观部分[M].第四版.北京:中国人民大学出版社,2007:316-317.
[6]徐宽.基尼系数的研究文献在过去八十年是如何拓展的[J].经济学,2003,2(4):757-778.
[7]刘颖,谢萌,丁勇.对基尼系数计算方法的比较与思考[J].统计与决策,2004,(9):15-16.
[8]施卫国.一种简易的基尼系数计算方法[J].江苏统计,1997,(2):16-18.
[9]高进云,张安录,杨钢桥.湖北省城镇化地域差异的实证研究[J].中国人口·资源与环境,2006,16(4):107-111.