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—2...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。展开更多
This study aims to develop and evaluate the indicators of Sustainable Development Goals(hereafter SDGs)for local governments in Gyeonggi Province,South Korea from the perspective of the glocal mainstreaming of SDGs an...This study aims to develop and evaluate the indicators of Sustainable Development Goals(hereafter SDGs)for local governments in Gyeonggi Province,South Korea from the perspective of the glocal mainstreaming of SDGs and localization.Through surveys and focus group meetings,35 SDGs indicators that are to be implemented by both the Gyeonggi Provincial government and 31 separate local governments were selected and an overall index was calculated by standardizing 27 indicators.Through the comparative analysis of the fuzzy-set,this paper revealed the four ideal types along with the arrangement of two variables,the socio-economic SDGs index(S)and the environmental SDGs index(E),which are derived from 31 local governments.In short,some examples of this arrangement are the Type 1(S^(*)E:“sustainable local gov.”)including Hanam City(fuzzy score,0.729);Type 2(S^(*)e:“imbalanced local gov.(I)”)including Hwaseong City(0.862);Type 3(s^(*)E:“imbalanced local gov.(II)”)including Gapyeong County(0.922);and Type 4(s^(*)e:“unsustainable local gov.”)including Pyeongtaek City(0.650).As a result,this paper suggests policy priority should be placed on the local governments of Type 4 where all three dimensions of sustainable development pose challenges.Furthermore,it is important for Type 2 and Type 3 to enhance policy coherence for sustainability.展开更多
文摘联合国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。
文摘This study aims to develop and evaluate the indicators of Sustainable Development Goals(hereafter SDGs)for local governments in Gyeonggi Province,South Korea from the perspective of the glocal mainstreaming of SDGs and localization.Through surveys and focus group meetings,35 SDGs indicators that are to be implemented by both the Gyeonggi Provincial government and 31 separate local governments were selected and an overall index was calculated by standardizing 27 indicators.Through the comparative analysis of the fuzzy-set,this paper revealed the four ideal types along with the arrangement of two variables,the socio-economic SDGs index(S)and the environmental SDGs index(E),which are derived from 31 local governments.In short,some examples of this arrangement are the Type 1(S^(*)E:“sustainable local gov.”)including Hanam City(fuzzy score,0.729);Type 2(S^(*)e:“imbalanced local gov.(I)”)including Hwaseong City(0.862);Type 3(s^(*)E:“imbalanced local gov.(II)”)including Gapyeong County(0.922);and Type 4(s^(*)e:“unsustainable local gov.”)including Pyeongtaek City(0.650).As a result,this paper suggests policy priority should be placed on the local governments of Type 4 where all three dimensions of sustainable development pose challenges.Furthermore,it is important for Type 2 and Type 3 to enhance policy coherence for sustainability.
