我国省域生态经济系统耦合关系和途径研究

发布时间：2018-07-23 10:53

【摘要】：基于2000年和2009年的经济与环境统计数据,从生态经济系统的可持续发展和外部效应的内部化现状入手,利用能值分析方法建立耦合指数模型,并对除西藏和台湾省外的我国29个大陆省区的生态经济系统耦合现状进行分析。结果表明,62%的省区生态经济系统耦合现状不理想,主要分布于沿海和长江沿岸地区及部分落后地区,包括发达程度较高的北京、天津、上海、广东、江苏、浙江、福建等省份,也有发展程度稍低的辽宁、湖北、江西、河南、河北等省份,以及西部落后省份宁夏、甘肃;一般耦合的省区有陕西、吉林和贵州;中度耦合的地区包括广西、云南、内蒙古、湖南、黑龙江、四川、海南;耦合程度较好的有青海、新疆等人口密度偏低的地区。两个年份的结果对比分析表明,我国生态经济系统耦合程度总体上出现了好转,为加快区域生态经济系统的进一步耦合发展,需要努力探索并施行更合理的经济发展模式,完善经济核算体系,实行合理的人口政策和优化产业结构。
[Abstract]:Based on the economic and environmental statistics of 2000 and 2009, starting with the sustainable development of eco-economic system and the internalization of external effects, the coupling index model is established by using the method of emergy analysis. The coupling status of eco-economic systems in 29 mainland provinces except Tibet and Taiwan is analyzed. The results show that 62% of the provinces and regions are not well coupled with each other. They are mainly distributed in coastal, Yangtze River coastal areas and some backward areas, including Beijing, Tianjin, Shanghai, Guangdong, Jiangsu, Zhejiang, Fujian and other provinces with relatively high level of development, such as Beijing, Tianjin, Shanghai, Guangdong, Jiangsu, Zhejiang, Fujian, etc. There are also provinces with lower levels of development, such as Liaoning, Hubei, Jiangxi, Henan, Hebei and other provinces, as well as the backward provinces of Ningxia and Gansu in the west; generally coupled provinces and regions include Shaanxi, Jilin and Guizhou; and moderately coupled areas include Guangxi, Yunnan, and Inner Mongolia. Hunan, Heilongjiang, Sichuan, Hainan, the coupling degree of Qinghai, Xinjiang and other low population density areas. The comparative analysis of the results of the two years shows that the coupling degree of the eco-economic system in China has generally improved. In order to accelerate the further coupling development of the regional eco-economic system, it is necessary to explore and implement a more reasonable economic development model. We will improve the economic accounting system, implement a rational population policy and optimize the industrial structure.
【作者单位】：贵州师范学院资源环境与灾害研究所;中国科学院遥感应用研究所;
【基金】：国家“十二五”科技支撑计划重大项目(2011BAC09B01) 贵州省科技厅项目(黔科合J字[2011]2343) 特色重点学科项目
【分类号】：F124;F205;F224

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