According to the particularity of towns＇ construction in the southwestern mountainous areas of Yunnan Province, this study has built constructive land suit- ability evaluation index system which is different to flat ...According to the particularity of towns＇ construction in the southwestern mountainous areas of Yunnan Province, this study has built constructive land suit- ability evaluation index system which is different to flat area. Then this study deter- mined single evaluation factors index and comprehensive suitability index using ＂ex- treme conditions method＂ and ＂suitability index method＂, and analyzed and assessed the constructive land suitability on each evaluation unit polygons and its suitability level by using GIS software. Taking Lianghe County of Dehong Dai-Jingpo Au- tonomous Prefecture as an example to evaluate land suitability in Lianghe County＇s main towns around the gentle slope, the results show, in the evaluation area, the area of land suitable for construction and unsuitable for construction respectively ac- count 73.58% and 26.42%. And first-class, second and third-class of land suitable for construction should be composited at the ratio of about 11：49：40. The suitability evaluation index system and method developed in this paper is applicable for evalu- ating the construction land suitability in mountainous areas of southwest Yunnan Province, and will provide theoretical and technical support for land policy measures which strengthen the protection of farmland and promote the scientific development of urbanization in Yunnan Province and even similar mountainous areas of the whole China.展开更多
农村减贫一直是政府和学术界关注的焦点。为客观揭示区域农村贫困影响因素,促进区域性宏观减贫政策的有效制定与实施,进一步提高减贫成效。该文以农村贫困典型区域的云南省为研究对象,结合区域贫困空间关联性,运用空间计量经济模型分析...农村减贫一直是政府和学术界关注的焦点。为客观揭示区域农村贫困影响因素,促进区域性宏观减贫政策的有效制定与实施,进一步提高减贫成效。该文以农村贫困典型区域的云南省为研究对象,结合区域贫困空间关联性,运用空间计量经济模型分析方法与GIS空间分析技术,分析探讨了全省129个县(区、市)2010-2015年间县域农村贫困格局、主要影响因素及空间影响效应,并分区域提出了减贫政策建议。结果表明:1)云南省县域农村贫困空间上表现出"中心-外围-边角"的低、中、高贫困分布格局,贫困程度较高的区域主要集中在滇西北、滇东北、滇西南及滇南地区,主要涉及金沙江、澜沧江、怒江及红河等流域地带。2)空间滞后模型(spatial lag model, SLM)回归结果显示,地形起伏度、到所在市政府的交通距离、农村15岁及以上文盲率、每千人医疗机构床位数、农村65岁及以上老年人比例5个因子是造成近年来云南省县域农村贫困的显著影响因素,5个因子的回归系数分别为0.005、0.044、0.380、-1.257和-2.132。3)农村贫困存在区域差异性,云南省区域扶贫开发需针对区域贫困程度和主要致贫因素精准施策,并强化相邻县域之间合力攻坚,巩固减贫成效。该文重点关注的空间效应是区域农村贫困研究的重要内容,可以为制定科学、合理的区域性减贫政策提供参考。展开更多
基金Supported by National Natural Science Foundation of China(41261018)Lianghe Government Authorized Project~~
文摘According to the particularity of towns＇ construction in the southwestern mountainous areas of Yunnan Province, this study has built constructive land suit- ability evaluation index system which is different to flat area. Then this study deter- mined single evaluation factors index and comprehensive suitability index using ＂ex- treme conditions method＂ and ＂suitability index method＂, and analyzed and assessed the constructive land suitability on each evaluation unit polygons and its suitability level by using GIS software. Taking Lianghe County of Dehong Dai-Jingpo Au- tonomous Prefecture as an example to evaluate land suitability in Lianghe County＇s main towns around the gentle slope, the results show, in the evaluation area, the area of land suitable for construction and unsuitable for construction respectively ac- count 73.58% and 26.42%. And first-class, second and third-class of land suitable for construction should be composited at the ratio of about 11：49：40. The suitability evaluation index system and method developed in this paper is applicable for evalu- ating the construction land suitability in mountainous areas of southwest Yunnan Province, and will provide theoretical and technical support for land policy measures which strengthen the protection of farmland and promote the scientific development of urbanization in Yunnan Province and even similar mountainous areas of the whole China.
文摘农村减贫一直是政府和学术界关注的焦点。为客观揭示区域农村贫困影响因素,促进区域性宏观减贫政策的有效制定与实施,进一步提高减贫成效。该文以农村贫困典型区域的云南省为研究对象,结合区域贫困空间关联性,运用空间计量经济模型分析方法与GIS空间分析技术,分析探讨了全省129个县(区、市)2010-2015年间县域农村贫困格局、主要影响因素及空间影响效应,并分区域提出了减贫政策建议。结果表明:1)云南省县域农村贫困空间上表现出"中心-外围-边角"的低、中、高贫困分布格局,贫困程度较高的区域主要集中在滇西北、滇东北、滇西南及滇南地区,主要涉及金沙江、澜沧江、怒江及红河等流域地带。2)空间滞后模型(spatial lag model, SLM)回归结果显示,地形起伏度、到所在市政府的交通距离、农村15岁及以上文盲率、每千人医疗机构床位数、农村65岁及以上老年人比例5个因子是造成近年来云南省县域农村贫困的显著影响因素,5个因子的回归系数分别为0.005、0.044、0.380、-1.257和-2.132。3)农村贫困存在区域差异性,云南省区域扶贫开发需针对区域贫困程度和主要致贫因素精准施策,并强化相邻县域之间合力攻坚,巩固减贫成效。该文重点关注的空间效应是区域农村贫困研究的重要内容,可以为制定科学、合理的区域性减贫政策提供参考。
