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1.
中部崛起战略后,中国中部六省（湖北省、湖南省、安徽省、山西省、江西省和河南省）经济快速发展,建成区面积不断扩张,不仅威胁粮食安全,更加剧资源环境约束。在此背景下,本文采用2007—2018年中部六省80个地级市面板数据,并运用Malmquist-Luerberger指数、重心模型、空间计量模型和地理探测器模型分析中部六省80个地级市土地绿色利用效率时演变、重心移动轨迹变化及其影响因素情况。结果表明：① 2007—2018年中部六省土地绿色利用效率增长是靠技术进步“单轨驱动”的。② 城市土地绿色利用效率值表现出明显的空间分异特征,且重心总体向东北方向移动。③ 中部六省各地级市之间土地绿色利用效率存在空间依赖性和空间溢出效应。④ 除城市建设用地面积外,城镇化率、产业结构高级化水平、经济发展水平、外商直接投资额均正向影响中部六省80个地级市土地绿色利用效率。其中,各个影响因素对土地绿色利用效率的影响从强到弱依次为产业结构高级化水平、外商直接投资额、建设用地面积、城镇化率、经济发展水平。 相似文献
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Using data from the Economic Advisory Center of the State Information Center (SIC), we examined the spatial patterns of car sales in China at the prefectural level in 2012. We first analyzed the spatial distributions of car sales of different kinds of automakers (foreign automakers, Sino-foreign joint automakers, and Chinese automakers), and then identified spatial clusters using the local Moran’s indexes. Location quotient analysis was applied to examine the relative advantage of each type of automaker in the local markets. To explain the variations of car sales across cities, we collected several socioeconomic variables and conducted regression analyses. Further, factor analysis was used to extract independent variables to avoid the problem of multicollinearity. By incorporating a spatial lag or spatial error in the models, we calibrated our spatial regression models to address the spatial dependence problem. The analytical results show that car sales varied significantly across cities in China, and most of the cities with higher car sales were the developed cities. Different automakers exhibit diverse spatial patterns in terms of car sales volume, spatial clusters, and location quotients. The scale and incomes factor were extracted and verified as the two most significant and positive factors that shape the spatial distributions of car sales, and together with the spatial effect, explained most of the variations of car sales across cities. 相似文献
3.
近30 a来,中国城市规模体系发生了重大变化,突出表现在人口城市化、用地城市化和经济城市化方面。利用GIS平台,综合城市常住人口、建成区面积和经济总量等因素构建Zipf-PLE模型,以全国县级以上城市为研究对象,对中国城市规模体系的空间格局进行了深入研究。结果显示：（1）2010年,中国城市规模体系等级健全且成熟,呈现“中间略大、底端偏小”的较为合理的金字塔格局。其中,西部地区城市规模体系结构最为合理,呈现出“底端大,顶端小”的金字塔格局;东部地区城市体系等级比较健全,中等城市最多,呈现“中间大,两端小”的金字塔格局;中部地区城市体系等级不全,超大城市缺失,呈现“中底端大,顶端小”的金字塔格局。（2）中国省域城市规模体系是合理的,中等合理以上的省份占90.32%。除直辖市外,全国27个省份中有8个省份城市规模体系趋于分散,19个省份趋于集中。（3）对全国省域城市规模体系进行合理度分区,京、沪、津、渝、新、黑、桂、陕、甘、闽、吉11省市为高合理区;粤、晋、云、湘、贵、辽、赣、苏、浙、川、冀、豫12个省（区）为较高合理区;鄂、鲁、皖为中等合理区;琼、蒙、宁为低合理省区;青、藏为不合理省（区）。 相似文献
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突发性重大公共传染性疫情在地级城市层面政府严格防控时期的时空演变特征能够有效反应我国综合应急防控能力。基于中国2020年1月24日—3月5日312个城市的COVID-19累计确诊数、现有确诊数、治愈数等统计数据,采用ESDA、优化的热点分析、空间马尔科夫链、空间面板数据模型等方法分析了政府严控期COVID-19疫情在312个城市的时空变化特征。研究发现：① 全国COVID-19现存确诊数经历了“快速增长扩散、基本控制、逐渐下降、局部地区完全控制”的变化特征并在2月17日达到峰值,上升期的日均增长率为17.5%,下降期的日均下降率为5.1%,绝大部分城市的疫情变化特征与全国总体情况类似;② 春运期间的人口流动性高是导致疫情快速扩张的主要原因,武汉“封城”之前14 d的百度迁徙强度指数与部分城市的累计确诊数显著相关;③ 优化的热点分析方法识别出疫情热点的空间分布具有固定性且主要分布于以武汉为中心、半径约350 km范围内的36个城市,未识别出具有统计显著性的疫情冷点城市;④ 对各城市现有确诊人数的马尔科夫链转移概率矩阵分析结果显示,各种类型维持现状的概率大于0.85,向下转移的平均概率明显高于向上转移的概率,在不同空间滞后类型的影响下各类型转移概率发生明显变化;⑤ 空间面板数据模型估计结果显示312个城市的现存确诊数具有显著的空间和时间自相关性。本研究从地级市层面多角度分析了政府严控期间COVID-19疫情的时空变化特征,疫情防控重点在于降低其时空自相关效应,为我国当前及未来应对突发性重大公共传染性疫情提供决策参考。 相似文献
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Key variables explaining soil organic carbon content variations in croplands and non-croplands in Chinese provinces 总被引：1，自引：1，他引：0
Soil organic carbon (SOC) plays an important role in global carbon cycles.Large spatial variations in SOC contents result in uncertain estimates of the SOC pool and its changes.In the present study,the key variables explaining the SOC contents of croplands (CPs) and non-croplands (NCPs) in Chinese provinces were investigated.Data on SOC and other soil properties (obtained from the Second National Soil Survey conducted in the late 1970s to the early 1990s),climate parameters,as well as the proportion of the CP to the total land area (Pcp) were used.SOC content variations within a province were larger than those among provinces.Soil clay and total phosphorus content,ratio of annual precipitation to mean temperature,as well as Pcp were able to explain 75% of the SOC content variations in whole soil samples.Soil pH,mean temperature during the growing season from May to October,and mean annual wind velocity were able to explain 63% of the SOC content variations in NCP soils.Compared with NCP soils,CP soils had lower SOC contents,with smaller variations within and among provinces and lower C/N ratios.Stepwise regression showed that the soil clay content was a unique factor significantly correlated with the SOC content of CP soils.However,this factor only explained 24% of the variations.This result suggested that variables related to human activities had greater effects on SOC content variations in CP soils than soil properties and climate parameters.Based on SOC contents directly averaged from soil samples and estimated by regression equations,the total SOC pool in the topsoil (0-20 cm) of China was estimated at 60.02 Pg and 57.6 Pg.Thousands of years of intensive cultivation in China resulted in CP topsoil SOC loss of 4.34-4.98 Pg. 相似文献
6.
《中国地理科学(英文版)》2021,(4)
Social assistance is the last safety net in the social security system and plays a vital role in poverty alleviation in countries around the world. Promoting the equal financial assistance is meaningful to achieve equalization of social assistance. Based on the provincial panel data from 2002 to 2017, this paper analyzes the dynamic characteristics and main influencing factors of the equity of social assistance in China, using the Theil index and geographically weighted regression(GWR) model. The results suggest that the level of per capita social assistance expenditure(PSAE) in China keeps increasing year by year, but the changes in different regions and provinces are quite different. These changes not only significantly changed the spatial pattern of PSAE in China, but also greatly improved its spatial coupling with the deeply impoverished areas. Further analysis shows that the regional inequality of PSAE between provinces is obvious during the study period, and the inter-regional inequality is significantly higher than the intra-regional inequality.This makes inter-regional inequality become the main source of the regional inequality of PSAE in China for a long time. According to GWR results, there is obvious spatiotemporal heterogeneity in the influence intensity and direction of the per capita financial revenue,urbanization rate, urban unemployment rate, natural disaster-affected area, and transfer payment intensity on the PSAE. The urbanization rate and per capita financial revenue are the main driving factors of PSAE, and the impact intensity of per capita financial revenue tends to strengthen. The remaining three factors have a positive effect on PSAE, but the effect intensity is not high. 相似文献
7.
良好的健康和人类福祉是联合国提出的可持续发展目标之一,提高人口预期寿命是迈向此目标的重要一步。由于中国城市在自然环境和社会发展方面有所差异,因此理解不同城市居民的预期寿命主要受何种因素的影响是制定城市公共卫生策略的关键。本研究基于2015年中国286个城市的有效数据,利用探索性回归、普通最小二乘回归、地理加权回归筛选与预期寿命最相关的影响因素并探索其空间差异,再通过二阶聚类将城市分类,以针对性地提出每类城市政策建议。结果显示：① 经济发展,教育条件和医疗设施条件对预期寿命有显著的积极影响,平均海拔和环境污染则具有负面影响;② 东南地区的经济发展对当地居民的预期寿命影响程度更大;东北和西南地区的医疗设施条件对其居民预期寿命促进程度更高;北部地区的教育条件对当地居民预期寿命影响比其他地区更高;平均海拔对西部地区居民预期寿命的影响最大;西北地区居民的预期寿命则更易受到环境污染带来的负面影响;③ 根据空间差异将城市分为3类,其居民预期寿命关键影响因素依次是经济发展和环境污染、教育条件、医疗设施,每类城市的城市管理者应重点关注不同因素来提升居民的预期寿命。 相似文献
8.
《中国地理科学(英文版)》2020,(2)
The emergence of rapid transit, primarily represented by high-speed railway(HSR), while reshaping the regional traffic patterns, leads to the reconstruction and redistribution of population and industry. This leads to either shrinkage or expansion of urban scale. However, research on the influence mechanisms of the urban scale has mostly concentrated on historical, economic and social factors. The influence of traffic factors is rarely mentioned in current research. Therefore, this study examines Northeast China, where the change in urban scale is most significant, to discuss the spatial impact of high-speed railway on the urban scale. This is of great significance in terms of enriching current understanding of the factors affecting the urban scale. The results included the following: 1) The high-speed railway produced considerable space-time convergence effects, however, simultaneously aggravated the imbalance in traffic development in Northeast China. The increase in accessibility presents attenuation characteristics from the high-speed railway. Additionally, the high-speed railway has changed the mode of cooperation between cities in the provinces, inter-regional and inter-provincial cooperation models gradually become popular. 2) The change rate of accessibility and the urban scale present significant spatial coupling phenomena, with the change rate of the Harbin-Dalian trunk lines and its surroundings being more significant. 3) There are predominantly four modes of the influence of high-speed railway on the urban scale, which make difference city present expansion or shrinkage. 相似文献
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ＴＨＥ ＵＮＥＶＥＮ ＤＥＶＥＬＯＰＭＥＮＴ ＡＮＤ ＳＰＡＴＩＡＬ ＤＩＦＦＵＳＩＯＮ ＯＦ ＣＨＩＮＥＳＥ ＣＥＮＴＲＡＬ ＣＩＴＩＥＳ ＮｉｎｇＹｕｅＡｎｎ（宁越敏）；ＹａｎＺｈｏｎｇｍｉｎ（严重敏）（ＴｈｅＩｎｓｔｉｔｕｔｅｏｆＧｅｏｇｒａｐ... 相似文献
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1 BACKGROUND OF STUDYChina has begun to take part in the great practice ofinternational competition and opening-up in the last 1 /5 time of 20th century. In the last two decades, Chinahas become one of the areas that have the greatest potential in industrial production, thus it has rankedsecond only to USA in the flow of international capital.By the end of 1998, the real value of FDI China hasutilized has added up to $268. I billion. China has wonworld attention as a huge market for … 相似文献
11.
针对年尺度热异常数据提取工业热源的方法存在数量和空间精细化程度不足的问题,使用VIIRS Active Fire数据,提出了一种基于温度特征模板的BP神经网络工业热源提取方法。该方法以京津冀及周边地区为试验区,首先,根据工业热源空间聚集性特征,使用OPTICS算法划分热源对象;其次,根据热源的热辐射特征,构建工业热源与非工业热源温度特征模板;最后,以温度特征模板、热源统计特征等作为参数,使用BP神经网络提取工业热源对象。结果表明：① 本文提出的基于温度特征模板的BP神经网络算法的工业热源提取精度达到了96.31%,与时间滤波、逻辑回归方法相比较,工业热源提取精度分别提高了8.45%、7.53%;② 2015—2020年京津冀及周边地区6省市工业热源数量整体减少了27.46%;河北省工业热源对象数量和热异常点数量年均减少了8.06%和7.44%,相对于其他省市减少幅度最大;山东、天津的工业热源集中度分别提高了25.72%、86.64%,说明两地工业转型升级政策取得较显著成效;③ 唐山、邯郸、吕梁和长治4个城市工业热源对象数量占试验区全部的31.37%,为京津冀及周边地区工业热源主要分布城市;临汾、太原等7个城市工业热源聚集程度和能源消耗程度高于其他城市;北京、周口等11个城市工业热源聚集程度和能源消耗程度低于其他城市;④ 2020年1—5月,京津冀及周边地区工业热异常点数量相对于2019、2021年同期保持不变或增加,新冠疫情对试验区工业热源无显著影响;2020年1、2月武汉工业热异常点数量与2019、2021年同期相比数量减少了66.67%以上,2020年3—5月工业热异常点数量低于2019年同期,2020年1—5月新冠疫情对武汉市工业热源影响显著。该研究反映了京津冀及周边地区工业热源发展的现状及趋势,能够为降低能耗和提高第二产业集中度等相关政策的制定与调整提供有价值的参考。 相似文献
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气象因素影响下中国手足口病时空演化特征研究 总被引：1，自引：0，他引：1
近年来,手足口病在我国感染者的数量仍然呈现逐渐增加的趋势,对公共健康造成很大的威胁,也对疾病防控提出严峻的挑战。为探讨气象因素（气温、降水）对我国手足口病（Hand Foot and Mouth Disease, HFMD）发病的时空影响特征及规律,本文以我国手足口病疫情平发年2017年为例,利用分地区、分月份疫情数据,采用地理探测器、空间自相关等分析方法分析各地气象（气温、降水）因素对手足口病发病影响及其时空分异。结果表明：① 在时间上,2017年我国各地中心城市手足口病发病有明显的季节差异,年内有单峰发病模式和双峰（高低峰、双高峰）发病模式,且2017年2、4、12月各地中心城市手足口病发病率有显著的空间相关;② 在空间上,2017年我国各省、市手足口病发病在空间上表现为东南各省市发病率高,西北各省市发病率低的特点,并随降水量由东南向西北呈现递减趋势;③ 2017年省、自治区、直辖市和地级市手足口病爆发热点时段（4—8月）时空演化分析,先由东南各省向西北各省蔓延,后又表现为由西向东退缩;④ 2017年我国各地中心城市手足口病月发病率分别与年均降水量、年均温,呈二次函数关系（R2=0.6623）和指数函数关系（R2=0.6469）;⑤ 气温和降水对手足口病交互作用结果表现为双因子非线性增强,气温和降水的交互作用对手足口病传播的影响更为显著。气象因素对我国手足口病发病存在影响,我国手足口病发病在时间和空间上均存在显著差异,分析结果在宏观尺度上可为我国手足口病防控提供参考。 相似文献
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人为热一定程度上影响着城市的局地环境和微气候。以2016年中国地级市为研究对象,首先采用了能源消耗清单法结合Suomi-NPP（National Polar-orbiting Partnership）VIIRS（Visible Infrared Imaging Radiometer Suite）夜间灯光数据的方法估算了格网尺度的人为热通量;其次,分别使用最小二乘法和地理加权回归法模型在全局和局部尺度上研究不同因素对人为热总量的影响;进一步使用自然断点法划分出其中的主导因素。得出以下结论：① 各地级市的人为热总量具有显著的空间差异,京津冀、长江三角洲、珠江三角洲城市群所在的中国东南地区,人为热总量相对较高;② 能源消耗、民用汽车数量、人均生产总值是全局尺度上人为热总量的主要驱动因素;人口密度、第二产业占比、道路密度和建成区面积对人为热总量的影响呈现出较强的空间异质性;外商直接投资额则在全局尺度对人为热总量的影响较低。③ 主导因素分析表明无主导因素的地级市主要位于中国的西南部,以能源消耗、民用汽车数量、人均生产总值为单一主导因素的地级市主要聚集于中国的东南部、中部及东北部、西北部,并在其周边交叉地区形成了一些数量较少的双重主导因素地级市。本文的研究为政府相关部门对于人为热调控政策的制定提供了依据。 相似文献
15.
《中国地理科学(英文版)》2021,(3)
To comprehensively understand the law of urban-rural relationship and propose scientific measures of urban-rural coordinated development in Northeast China, this study uses the coupling coordination degree model and geographically and temporally weighted regression(GTWR) model to analyze the spatial-temporal patterns and the corresponding driving mechanisms of its urban-rural coordination since 1990. The results are as follows. First, the urban-rural coupling coordination degree in Northeast China was very low and improved slowly, but its stages of evolution is a good interpretation of the strategic arrangements of China's urbanization.Second, the urban-rural coupling coordination degree in Northeast China had spatial differences and was characterized by central polarization, converging on urban agglomeration, which was high in the south and low in the north. Moreover, the gap between the north and south weakened. Third, the spatial-temporal evolution of the urban-rural coordination relationship in Northeast China was influenced by pulling from the central cities, pushing from rural transformation, and government regulations. The influence intensity of the three mechanisms was weak, but the pulling from the central cities was stronger than that of the other two mechanisms. Furthermore, the spatial difference between the three mechanisms determines the spatial pattern and its evolution of the urban-rural coordination relationship in Northeast China. Fourth, to promote the development of urban-rural coordination in Northeast China, it is essential to advance urbanrural economic correlation, enhance the government's role in regulating and guiding, and adopt different policies for each region in Northeast China. 相似文献
16.
China's Global Shipping Connectivity: Internal and External Dynamics in the Contemporary Era(1890–2016) 总被引：1，自引：0，他引：1
China's global shipping connectivity had been somewhat overlooked as the bulk of related studies predominantly focused on the throughput volume of its own port cities. This article tackles such lacunae by providing a relational perspective based on the extraction of vessel movement archives from the Lloyd's List corpus. Two complementary analyses are proposed: long-term dynamics with all ships included(1890–2008) and medium-term dynamics focusing on container flows(1978–2016). Each analysis examines China's maritime connectivity in various ways and on different spatial scales, from the global to the local, in terms of concentration, vulnerability, and expansion. The main results underline the influence of technological, economic, and political factors on the changing distribution of connectivity internally and externally. In particular, China has managed to reduce its dependence upon external transit hubs, to increase the internal connectivity of its own port system, and to strengthen its dominance towards an increasing number of foreign nodes and trade partners through the maritime network. 相似文献
17.
黄河流域生态保护与高质量发展是我国新时代的重大战略任务。探究黄河流域PM2.5浓度的时空变化趋势,并分析其社会经济影响因素,对该地区的大气污染防治和实现高质量发展具有重要意义。本文采用时间序列趋势估计、空间自相关分析、地理探测器和地理加权回归方法,揭示了“十三五”时期年黄河流域不同尺度（全流域以及61个地级市）PM2.5浓度值和变化趋势的时空分异特征,定量探究了社会经济因素对PM2.5浓度的影响机制及其时空过程。结果表明：① 在“十三五”时期,黄河流域的PM2.5污染情况整体好转,其浓度呈波动下降的趋势,平均每年下降约4.2 μg/m³,彰显了我国大气污染防治攻坚战取得的重要成效;② 山东、河南、山西和陕西的PM2.5浓度值较高,但山东、河南改善速度较快,山西和陕西改善速度较慢;③ 以目前的改善速率推算,在黄河流域61个地级市中,54个市将能够完成“十四五”规划中PM2.5浓度下降10%的目标,而咸阳、西安、榆林、太原、临汾、运城、晋城7市将难以完成;④ 人口密度、工业企业数、土地利用强度是导致黄河流域PM2.5浓度升高的主要社会经济因素,其解释力均达到50%以上;⑤ 从2015—2019年,土地利用程度指数和人口密度的主要影响区域均转移至黄河流域中部地区,建议山西、陕西、内蒙古应作为下一阶段治理工作关注的重点区域;⑥ 促进与环境承载力相协调的城乡发展、控制工业规模并提高其环保水平,是进一步治理黄河流域大气污染的重要策略。 相似文献
18.
目前,旅游业已经成为国民经济发展中的重要产业,而旅游业的发展需要外部资金的支持,因此,能否吸引外来资金是一个关系旅游业能否可持续发展的重要问题~([1])。本文尝试构建包含经济环境、旅游业发展、区域条件和外部环境4个层面共32个指标的旅游投资环境评价指标体系,运用因子分析法对我国东部沿海十省市的旅游投资环境进行了综合测评与排序。结果显示,广东省旅游投资环境最好,河北的最差。广东省的各项指标值均高于其他省市,说明其投资吸引力最强。而其他省市各有优劣之处,建议在以后的发展中逐渐改善劣势从而达到改善旅游投资环境。 相似文献
19.
Taking the affinity between events and media as a conceptualization base,a total of 1032 related news reports of Expo '99 Kunming,gathered from the internet data bank of China INFOBANK from 1992 to 2003,ate used as data sources.After classifying them with a communication research method-the content analysis,a data bank for SPSS is set up,and a mathematic model called the Integrated Impact Index of Expo '99 Kunming is constituted.With the model,the spatial distribution of the total integrated impacts of Expo '99 Kunming on the regions or cities with different regional scales is analysed quantitatively.The conclusions are:1) the Expo '99 Kunming made obvious integrated impacts on the regions or cities of every scale,especially in the venue city and the region-Kunming City and Yunnan Province; 2) it had corresponding impacts on other provinces; 3) the spatial distribution of Integrated Impact Index had a disaggregation with both plane extension and spotted decentralization; and 4) there was a distance decay law in all three scales of regions (Kunming City,Yunnan Province and the whole China),which incarnated the spatial extension law of the integrated impact of a special mega-event. 相似文献
20.
Smart urban development is an inevitable choice, and is essential to overall strength improvement. It is important to explore an urban smart development path which unites smart growth with driving shrinkage perfectly in forming scientific and sustainable development concept and responding to new normal strategic opportunities. Based on statistic data of 294 prefecture-level cities and above in China from 2000 to 2015, we analyzed spatial and temporal evolution of urban smart development in China by constructing a dynamic fitting model of urban land expansion, population growth, and economic development as well as the coefficient of variation of urban smart development(CVSD). Further efforts were then made to consider differential distribution regularity of urban smart development so as to understand the driving mechanisms of heterogeneous classification of urban smart development in China from different scales and scale variation. Our results indicate that: 1) the disordered growth tendency of urban cities in China is overall well controlled in the middle, and late research and it mainly presented a doublet coexistence of shrinkage disordered cities and smart developing cities. It is particularly obvious that Northeast China and East China have regarded shrinkage disordered cities and smart developing cities as main development tendency separately. 2) Areas with basic stability and relative variation were relatively dispersed across the time period, but the proportion was far beyond areas with significant variation. It demonstrates a relative equilibrium spatial and temporal differential evolution pattern of prefecture-level cities and above in China, except for Tongling, Lanzhou and Chaoyang. 3) prefecture-level cities and above in China are mostly characterized by shrinkage disordered and smart development classification under the background of different scale and scale variation from 2000–2015; however, the spatial resonance relation is not obvious. 4) There are many interaction factors forming an important driving mechanism in developing the spatial and temporal pattern of urban smart development in China, including natural geographical factors, industrial structure adjustment, human capital radiation, regional traffic accessibility, and government decision-making intervention. 相似文献