中国农产品虚拟耕地与资源环境经济要素的时空匹配分析

ANALYSIS ON THE SPATIAL-TEMPORAL MATCHING OF CROPS VIRTUAL LAND VERSUS RESOURCES-ENVIRONMENT-ECONOMY FACTORS IN CHINA

计算出1999～2009年中国各地区农产品虚拟耕地与人口、水资源、耕地资源、水土流失治理以及GDP等要素的基尼系数以及全国8大区域2009年农产品虚拟耕地-资源环境经济要素的不平衡指数。结果表明:(1)我国农产品虚拟耕地与各资源环境经济要素的地域分布匹配程度都不高;其中农产品虚拟耕地与人口、耕地的地域匹配程度相对较高,与水土流失治理之间的地域匹配状况次之,与GDP和水资源的地域匹配程度相对较低;(2)我国农产品虚拟耕地与各资源环境经济要素的外部公平性不高,黄淮海地区为农产品虚拟耕地-资源环境经济要素不公平性最突出地区,其次是华南、西北和东北地区。

Based on the calculation of the total quantity of virtual land of main crops ,the authors computed the Gini coefficient of crops virtual land versus six resources-environment-economy factors, i. e. , popula- tion, cultivated land, water resources, consumption of chemical fertilizer, management of soil-water erosion and GDP. In addition, the temporal distribution of differences in crops virtual land versus the six factors during the period 1999 to 2009 in China was examined in detail. Results indicated that：the Gini coefficients of crops virtual land versus resources-environment-economy factors showing a low matching degree,in rela- tivity,The Gini coefficients of crops virtual land versus population and land resource were high, showing a lower matching degree for crops virtual land versus soil-water erosion, and the Gini coefficients of crops virtual land versus water resources, consumption of chemical fertilizer was the lowest . Regarding spatial distribution characteristics, the authors divided China into eight studied regions, and calculated the imbal- ance index of crops virtual water versus the six resources-environment-economy factors for the partitioned regions. The spatial matching characteristics of crops virtual land versus the six resources-environment-e- conomy factors in year 2009 were analyzed, indicating that the main regions affected the outer parts. The outside fairness of the virtual land system for Chinese agricultural products is found to be relatively low, the Huang-Huai region is the unfairness of the largest outside Asia,the South of China and Northwest and Northeast is following .