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1.
探寻城镇化与农村协调发展水平,有利于统筹城乡发展。构建城镇化与农村发展综合评价指标体系,综合运用熵权法和协调度模型,利用2006、2010、2016三年截面数据,对重庆市城镇化与农村协调发展水平进行研究。结果表明,重庆市城镇化水平较低,区县之间差距较大,高水平集中于主城区与城市发展新区,低水平集中于渝东北和渝东南地区;城镇化水平与农村发展水平具有正相关关系,即城镇化水平越高,农村发展水平相应较高,城镇化对农村发展具有带动作用;重庆市城镇化与农村发展的协调度表现为高水平下的低协调和低水平下的高协调,即主城及城市发展新区的城镇化和农村发展水平较高,但二者之间的协调度相对较低,渝东南和渝东北地区城镇化水平和农村发展水平相对较低,但协调度相对较高。 相似文献
2.
With the rapid economic development during the last 30 years in China, more and more disparities have emerged among different regions. It has been one of the hot topics in the fields of physical geography and economic geography, and also has been the task for Chinese government to handle. Nevertheless, to quantitatively assess the impacts of physio-geographical patterns （PGP） on the regional development disparity has been ignored for a long time. In this paper, a quantitative method was adopted to assess the marginal effects of the PGP on spatio-temporal disparity using the partial determination coefficients. The paper described the construction of the evaluation model step by step following its key scientific thinking. Total GDP, per capita GDP, primary industrial output value and secondary industrial output value were employed in this study as the indicators to reflect the impacts of PGP on the regional development disparity. Based on the evaluation methods built by researchers, this study firstly analyzed the temporal impacts of the PGP on spatio-temporal disparity of the regional development in China during the past 50 years, and then explained the spatial differences at each development stage. The results show that the spatio-temporal disparity in China is highly related to the PGP, and that the marginal contribution rate could be employed as an effective way to quantitatively assess the impact of the PGP on spatio-temporal disparity of the regional development. 相似文献
3.
山地城市土地覆盖变化对地表温度的影响 总被引：8，自引：3，他引：5
针对山地城市复杂的城市地貌和下垫面类型,本文使用TM、DEM、ETM+等遥感影像资料,提取了重庆市土地利用覆盖类型;借助TM、MSS等遥感数据的红外波段,反演出1988年和2000年的地表温度。分析了重庆市近十年的土地覆盖变化及其对地表温度的影响,结果表明,在1988~2000年间,研究区土地覆盖变化明显,特别是城市土地覆盖面积有显著增加。土地覆盖类型的变化会改变地表温度的空间分布,尤其是城市土地的扩展会提高地表温度。对山地、丘陵、平坝、陡坡四种耕地的地表温度进行了深入分析与研究,结果表明:山地城市土地覆盖变化引起了植被覆盖度的变化,而植被覆盖度的变化又相应地影响了地表温度的变化,植被覆盖度每下降10%,地表温度上升0.49K。 相似文献
4.
中国城市空间拓展研究动态 总被引：3，自引：1，他引：2
本文在总结了近年来中国城市空间拓展在形态与模式、空间拓展机制、空间拓展动态模拟、空间拓展环境效应等多方面所取得的丰硕成果和研究进展的基础上,提出现阶段中国城市空间拓展研究的主要特点是采用定量化的研究方法,筛选城市空间拓展的驱动因素,应用遥感和地理信息系统获得城市空间拓展准确信息,在此基础上构建模型对不同时空尺度的城市空间拓展过程加以模拟,并对城市空间拓展引起的生态环境效应加以分析,以此开展相关理论研究工作。针对目前研究工作特点和存在的不足,本文认为,今后中国城市空间拓展的主要发展方向应是借助日臻完善的研究手段和方法,深入开展城市空间拓展合理性评价,构建定量化动态模型,协调城市空间用地的增量布局与存量调整,并加强与国外城市空间拓展的比较研究。 相似文献
5.
西南贫困山区乡村振兴潜力与劳动力资源耦合关系——以贵州省望谟县为例 总被引：1，自引：0，他引：1
以2020年脱贫摘帽的贵州省望谟县161个行政村为研究对象,分析乡村振兴潜力与劳动力资源水平空间分布格局,运用耦合协调评判模型,探究二者耦合协调关系及发展类型。结果表明:(1)县域乡村振兴潜力水平整体偏低,空间分布存在较明显的地域差异性,受县城经济辐射越强、环境资源及交通区位条件越好的村庄,乡村振兴潜力越高;(2)劳动力资源水平因自然禀赋较差以及劳动力大量外出转移就业而相对较低,表现出南部高、北部低的分布特点;(3)县域乡村振兴潜力与劳动力资源以中度耦合为主,呈现基本协调的态势,耦合协调度较高的行政村主要分布在县域南部产业经济发展较好及区位交通较便捷的地区;(4)县域乡村振兴与劳动力资源耦合协调关系包括劳动力资源滞后型、乡村振兴滞后型和同步型,其中以同步型为主,该类型将是乡村振兴发展的重难点区域。 相似文献
6.
农户脱贫稳定性研究可为深度贫困地区巩固脱贫攻坚成果和乡村振兴有效衔接提供重要的理论依据。论文基于可持续生计视角进一步厘定了“农户脱贫稳定性”概念,从自然资本、物质资本、社会资本、人力资本和金融资本5个维度构建了农户脱贫稳定性评价指标体系,选取地处深度贫困地区的贵州省天柱县为研究区,测算1295户样本农户脱贫稳定性指数,基于不同方法共同识别影响因素并探究影响机理,提出构建稳定脱贫的长效机制。结果表明：① 研究区农户脱贫稳定性指数整体水平偏高,脱贫稳定性较强,但农户个体差异性显著,其中物质资本和自然资本维度的脱贫稳定性较高,金融资本其次,人力资本和社会资本维度的脱贫稳定性较低,返贫风险较大;② 农户脱贫稳定性类型主要以一般型或稳定型为主,脱贫稳定性综合指数中各类型占比分布从高到低大致呈“水滴”特征,有12.44%的样本农户处于临界型,返贫风险较大;③ 技能培训、外出务工人口占比、土地流转、转移性收入占比、到乡镇政府距离和到主干道距离是影响研究区农户脱贫稳定性的主要影响因素;④ 构建了能力提升、产业培育、激发动力、完善基础设施和拓展就业“五位一体”的深度贫困地区农户脱贫稳定性长效机制。 相似文献
7.
新型城镇化作为健全区域协调发展体制机制的重要举措,对破解城乡及地区间发展不平衡问题、促进经济高质量发展有重要意义。论文以四川省为研究对象,运用空间自相关分析方法、空间计量模型、门限面板模型,分析2009—2019年新型城镇化和城乡收入差距的时空演化情况,揭示二者的关联关系,检验分析城乡收入差距的其他影响因素。结果显示：(1) 2009—2019年,四川省新型城镇化水平逐年上升,城乡收入差距逐年缩小,各年度城乡收入差距均具有显著的空间关联性,其低值区域主要集聚在成渝经济走廊上,其高值区域主要集聚在川西及东北部秦巴山区。(2)新型城镇化对城乡收入差距存在非线性影响,呈倒“U”型关系,主要原因是新型城镇化与农业现代化的不协调、不同步,当农业现代化水平跨越门槛值后,新型城镇化才会由扩大转为抑制城乡收入差距。(3)地区经济不平衡程度、科技创新水平和人力资本水平也是城乡收入差距的显著影响因素。研究结果可为积极稳妥推动新型城镇化、有效缩小城乡收入差距提供理论依据。 相似文献
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9.
Five diagnostic experiments with a 3D baroclinic hydrodynamic and sediment transport model ECOMSED in couple with the third
generation wave model SWAN and the Grant-Madsen bottom boundary layer model driven by the monthly sediment load of the Yellow
River, were conducted to separately diagnose effects of different hydrodynamic factors on transport of suspended sediment
discharged from the Yellow River in the Bohai Sea. Both transport and spatio-temporal distribution of suspended sediment concentration
in the Bohai Sea were numerially simulated. It could be concluded that suspended sediment discharged from the Yellow River
cannot be delivered in long distance under the condition of tidal current. Almost all of sediments from the Yellow River are
deposited outside the delta under the condition of wind-driven current, and only very small of them are transported faraway.
On the basis of wind forcing, sediments from the Yellow River are mainly transported north-northwestward, and others which
are first delivered to the Laizhou Bay are continuously moved northward. An obvious 3D structure characteristic of sediment
transport is produced in the wind-driven and tide-induced residual circulation condition. Transport patterns at all layers
are generally consistent with circulation structure, but there is apparent deviation between the depth-averaged sediment flux
and the circulation structure. The phase of temporal variation of sediment concentration is consistent with that of the bottom
shear stress, both of which are proved to have a ten-day cycle in wave and current condition. 相似文献
10.
Based on sediment and discharge flux data for the Yellow River, realistic forcing fields and bathymetry of the Bohai Sea,
a suspended sediment transport module is driven by a wave-current coupled model to research seasonal variations and mechanisms
of suspended load transport to the Bohai Sea. It could be concluded that surface sediment concentration indicates a distinct
spatial distribution characteristic that varies seasonally in the Bohai Sea. Sediment concentration is rather high near the
Yellow River estuary, seasonal variations of which are controlled by quantity of sediment from the Yellow River, suspended
sediment concentration reaches its maximum during summer and fall. Furthermore, sediment concentration decreases rapidly in
other seas far from the Yellow River estuary and maintains a very low level in the center of the Bohai Sea, and is dominated
by seasonal variations of climatology wind field in the Bohai Sea. Only a small amount of sediments imported from the Yellow
River are delivered northwestward to the southern coast of the Bohai Bay. Majority of sediments are transported southeastward
to the Laizhou Bay, where sediments are continuously delivered into the center of the Bohai Sea in a northeastward direction,
and part of them are transported eastward alongshore through the Bohai Strait. 69% of sediments from the Yellow River are
deposited near the river delta, 31% conveyed seaward, within which, 4% exported to the northern Yellow Sea through the Bohai
Strait. Wind wave is the most essential contributor to seasonal variations of sediment concentration in the Bohai Sea, and
the contribution of tidal currents is also significant in shallow waters when wind speed is low. 相似文献