联合国2030年可持续发展目标(sustainable development goals,SDGs)的本土化是现阶段落实SDGs的核心任务.针对现有研究空间尺度大、时间尺度短的特点,以黄土高原地区348个县域作为研究区,通过构建指标体系以及采用莫兰指数评估2000-2020年可持续发展水平及时空演进特征,并利用灰色马尔科夫模型对未来可持续发展趋势进行探究.结果表明:黄土高原地区可持续发展水平在2000-2020年呈波动式上升,与中国整体平均水平间的差距逐渐缩小.各县域发展存在一定差距,青海省所辖县域处于绝对的劣势地位.各县域之间的空间正向关联性逐渐缩小,高-高聚集地区越来越多,未来10年可持续发展水平将持续提高.
Research on Sustainable Development Level Measurement,Spatial-temporal Differentiation and Future Trends in the Loess Plateau Based on SDGs
The localization of the United Nations 2030 Sustainable Development Goals(SDGs)is the core task of implementing the SDGs at this stage.In view of the characteristics of large spatial scale and short time scale of existing research,based on SDGs,this research took 348 counties in the Loess Plateau as the research area,firstly,by constructing an index system and using Moran's index to evaluate the level of sustainable development and its spatial and temporal evolution characteristics from 2000 to 2020,then using the grey Markov model to ex-plore future sustainable development trends.The study found that:The level of sustainable development increased in volatility between 2000 and 2020,and the gap with the national average was narrowing.There was a certain gap in the development of the counties,and the counties of Qinghai Province were at an absolute disadvantage.The positive spatial correlation between counties gradually reduced,and there were an increasing number of high-high agglomeration areas.In the next ten years,the level of sustainable development in the region would continue to im-prove.
sustainable development level measurecountiesSDGsMoran indexgrey MarkovLoess Plateau
万方数据
维普
