资源科学 ›› 2016, Vol. 38 ›› Issue (10): 1962-1974.doi: 10.18402/resci.2016.10.13
沈明1, 2, 沈镭1, 2, 钟帅1, 3, 张超1, 2, 孔含笑1, 2
收稿日期:
2016-01-10
修回日期:
2016-08-30
出版日期:
2016-10-25
发布日期:
2016-10-25
通讯作者:
沈镭,E-mail:作者简介:
沈明,女,湖北鄂州人,博士生,研究方向为资源经济与政策。E-mail:shenming0604@163.com
基金资助:
SHEN Ming1, 2, SHEN Lei1, 2, ZHONG Shuai1, 3, ZHANG Chao1, 2, KONG Hanxiao1, 2
Received:
2016-01-10
Revised:
2016-08-30
Online:
2016-10-25
Published:
2016-10-25
摘要: “十三五”规划及供给侧改革背景下,资源型城市面临极大的去产能和生态保护压力。为促进矿业生态协调发展,本文基于SPSS和GIS刻画了中国212个资源型城市的矿业产能格局、生态敏感区格局及其空间耦合关系,在此基础上构建多目标优化模型,提出去产能空间格局优化方案。研究表明:①中国矿业产能分布显著集中,47.29%的产能集中于22个资源型城市;②资源型城市整体生态敏感性高,综合生态敏感区面积占比高达50.91%;③76.49%的矿业产能分布于II级和III级生态敏感区,矿业产能与生态敏感区分布不存在根本冲突;④30%的去产能目标假设下,到2020年预计削减矿业产能19.83亿t,生态避让效应达43.15%,125个资源型城市亟需去产能。其中煤炭、综合型、黑色金属和有色金属资源型城市产能削减量分别为9.55亿t、3.42亿t、2.39亿和2.43亿t;⑤建议按先南后北、先县级市后地级市原则分阶段有序调整矿业产能空间格局,科学合理推进全国资源型城市转型发展。
沈明, 沈镭, 钟帅, 张超, 孔含笑. 基于生态敏感条件的中国资源型城市去产能空间格局优化[J]. 资源科学, 2016, 38(10): 1962-1974.
SHEN Ming, SHEN Lei, ZHONG Shuai, ZHANG Chao, KONG Hanxiao. The spatial optimization of mineral industrial capacity reduction planning of resource-based cities in China based on ecological sensitive areas[J]. Resources Science, 2016, 38(10): 1962-1974.
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