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TU Jianjun DENG Yulin 《山地科学学报》2005,2(3):244-254
Introduction Western China is vast in area with different landforms and ecosystems, and its environment is deteriorated with different agricultural productivities. The northwestern region is very drought for lack of rainfall, and desertification there is serious with difficulty in vegetation restoration, while in the southwestern region the land is fragile, vegetation is degraded and water and soil loss serious. Even worse, for the lack of effective management, new environmental problems deriv… 相似文献
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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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中国区域经济发展的地区差异GIS分析 总被引：1，自引：0，他引：1
本文主要针对我国改革开放以来地区间经济发展的差距究竟是扩大(发散)还是缩小(收敛)的问题开展了研究.首先,对全国各省(市)1980 - 2008年的人均名义GDP数据进行了空间自相关分析,探讨了全国区域经济发展的地区差异变化,揭示了1984年以后中国各地区之间的经济发展的正空间自相关关系,即全国区域经济发展差异在整体上... 相似文献
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LUHe-li LIUGui-fang QANLe-xiang 《中国地理科学(英文版)》2004,14(4):314-319
This paper attempts to summarize the disparities of lnternet development in China spatially-temporally. The major objective is to measure the differences between Eastern, Central and Western China. Methods of map presentation, correlation, Lorenz curve, Gini Coefficient and location quotient analysis are conductcd in this study.For convenience, the indicator of regional lnternet development is simplified as the number of domain names registered under .CN in each province. The data used are collected from the semi-annual surveys of the Statistical surrey Report on the Internet Development in China since 1999. There are several findings: 1)The number of domain names in each province (city) declines gradually from the east to the west. 2) The gap between the highest growth provinces (cities) and the lowest ones is rather large. 3) Although the absolute differences between the eastern, ccntral and western China have been enlarged, the relative diffcrences in each province (city) have remained constant.4) Provinces (cities) are classified into three types according to location quotient changes, namely, rising type,changeless type and declining type. Compared with industrial and economic growth, lnternet sector in the eastern and western China is relatively ascending, while that in the central China is descending. 5) The number of domain names at provincial level is not statistically consistent with GDP. 相似文献
6.
Comprehending regional characteristics and influencing factors of China’s inbound tourism economy is important to make effective
policies that will help inbound tourism develop harmoniously and shrink regional disparity. This paper studied the regional
disparity and convergence of China’s inbound tourism economy during 1996–2008 with the methods of σ-convergence, club convergence and β-convergence. The results indicate that 1) inbound tourism receipts per capita (ITRPC) of the whole country, the eastern,
central and western regions presented the rapid increasing trend; 2) ITRPC of the whole country was characterized by convergence;
3) the eastern region presented club convergence, but the central and western regions did not show this trend; 4) the star-hotel
levels and investment in fixed assets for the tourism industry per capita had a same trend to growth rates of ITRPC, promoting
inbound tourism development, and there was no difference among the 31 provinces (municipalities) in the mainland of China;
5) but the proportion of employed persons in the tourism industry accounting for total population and the proportion of the
tertiary industry accounting for GDP had a reversal trend to growth rates of ITRPC, shrinking the provincial disparity in
inbound tourism economy, and there were differences between the developed provinces and the developing provinces. Based on
these analyses, we put forward some suggestions for the developing provinces to speed up inbound tourism economy. 相似文献
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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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中国省域煤矿事故时空分异特征及影响因素研究 总被引：1，自引：0，他引：1
煤矿事故给国家和人民带来巨大的生命财产损失,科学把握煤矿事故发生的宏观规律及区域煤矿安全的影响因素有助于促进煤矿安全生产。本文尝试采用GIS空间分析方法开展区域煤矿事故的研究,基于空间自相关性、时空演化规律方法研究了2006-2015年中国省域煤矿事故的时空分异特点,并分析了省域煤矿安全的影响因素及相对风险度。主要结论：①中国各省区之间煤矿事故存在明显的空间自相关性,但随着各省区煤矿安全生产形势改善情况的不同,其自相关性在不断下降;②以空间重心转移曲线分析中国煤矿事故发生的时空演化规律,10年间煤矿事故空间重心向东北方向转移。③重特大事故频发的省区由于监管措施的有力执行往往具有较低的煤矿百万吨死亡率;平均煤矿生产能力低的省区具有较高的煤矿百万吨死亡率;④建立基于解释变量的贝叶斯空间模型,以煤炭百万吨死亡率为指标评估中国各省区煤矿事故相对风险度,中国煤矿安全生产相对危险度存在明显的空间分布规律且各省区差异较大,相对危险度较高的省区主要集中在南方地区,包括湖北、福建等,危险度较低的省区主要集中在中东部地区,包括山西、内蒙古等。 相似文献
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陈国阶 《中国地理科学(英文版)》1997,7(2):106-114
I.DEVELOPMENTDIFFERENCESAMONGTHEEASTERN,CENTRAL~~AN~orchIc~ntdifferencesamongtheeastern,centralandwesternPatsofChinahavealready~aquestionattractingworld-wideattention.FormTable1,itcanbeseenthatInanyaspeCtS,suchasgrOSSeconondcoutput,grOSSdomeSticproducts(GDP)Percapita,totalforeigninvestment,totalinvestmentscale,etc.presentagradualdescendingtrendfromtheeaSternparttothewesternpin.Thefurtheranalysesshowthatthereisasbocontrastasfollows:intheeasternpart,theproPOrtionofsecon… 相似文献
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中国省级行政区边界形状的GIS分析 总被引：1，自引：0，他引：1
本文借助GIS软件支持,计算了我国32个省的平面轮廓形状的分维、形状指数和紧凑度。结果表明,形状复杂(边缘复杂程度高,破碎度较大)的省(区)主要集中在东部及沿海地区;形状较紧凑的省(区)主要集中在西部地区,东部省与西部省的形状特征有较大差异。另探讨了各地区的地理气候环境和历史人文特征所致的主要原因,并初步分析了各特征对交通等组织的影响。 相似文献
11.
Spatial-temporal Dynamics and Driving Forces of Land Development Intensity in the Western China from 2000 to 2015 总被引：1，自引：0，他引：1
《中国地理科学(英文版)》2020,(1)
The change in land development intensity is an important perspective to reflect the variation in regional social and economic development and spatial differentiation. In this paper, spatial statistical analysis, Ordinary Least Squares(OLS), and Geographically weighted regression(GWR) methods are used to systematically analyse the spatial-temporal characteristics and driving forces of land development intensity for 131 spatial units in the western China from 2000 to 2015. The findings of the study are as follows: 1) The land development intensity in the western China has been increasing rapidly. From 2000 to 2015, land development intensity increased by 3.4 times on average. 2) The hotspot areas have shifted from central Inner Mongolia, northern Shaanxi and the Beibu Gulf of Guangxi to the Guanzhong Plain and the Chengdu-Chongqing urban agglomeration. The areas of cold spots were mainly concentrated in the Qinghai-Tibet Plateau, Yunnan, and Xinjiang. 3) Investment intensity and the natural environment have always been the main drivers of land development intensity in the western China. Investment played a powerful role in promoting land development intensity, while the natural and ecological environment distinctly constrained such development. The effect of the economic factors on land development intensity in the western China has changed, which is reflected in the driving factor of construction land development shifting from economic growth in 2000 to economic structure, especially industrial structure, in 2015. 相似文献
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In this article, we propose a novel, multilevel, dynamic factor model, to determine endogenously clustered regions for the investigation of regional clustering and synchronization of provincial business fluctuations in China. The parameter identification and model estimation was conducted using the Markov Chain Monte Carlo method. We then conducted an empirical study of the provincial business fluctuations in China(31 Chinese provinces are considered except Hong Kong, Macau, and Taiwan due to the data unavailability), which were sampled from January 2000 to December 2015. Our results indicated that these provinces could be clustered into four regions: leading, coincident, lagging, and overshooting. In comparison with traditional geographical divisions, this novel clustering into four regions enabled the regional business cycle synchronization to be more accurately captured. Within the four regional clusters it was possible to identify substantial heterogeneities among regional business cycle fluctuations, especially during the periods of the 2008 financial crisis and the ‘four-trillion economic stimulus plan'. 相似文献
13.
Based on the analysis of its basic characteristics, this article investigated the disparities of Chinese service industry
among the three regions (the eastern China, the western China and the middle China) and inter-provincial disparities of that
in the three regions by Theil coefficient and cluster analysis. Then, major factors influencing its spatial disparity were
explored by correlation analysis and regression analysis. The conclusions could be drawn as follows. 1) The development of
Chinese service industry experienced three phases since the 1980s: rapid growth period, slow growth period, and recovery period.
From the proportion of value-added and employment, its development was obviously on the low level. From the composition of
industrial structure, traditional service sectors were dominant, but modern service sectors were lagged. Moreover, its spatial
disparity was distinct. 2) The level of Chinese service industry was divided into five basic regional ranks: well-developed,
developed, relatively-developed, underdeveloped and undeveloped regions. As a whole, the overall structure of spatial disparity
was steady in 1990–2005. But there was notable gradient disparity in the interior structure of service industry among different
provinces. Furthermore, the overall disparity expanded rapidly in 1990–2005. The inter-provincial disparity of service industry
in the three regions, especially in the eastern China, was bigger than the disparity among the three regions. And 3) the level
of economic development, the level of urban development, the scale of market capacity, the level of transportation and telecommunication,
and the abundance of human resources were major factors influencing the development of Chinese service industry. 相似文献
14.
《中国地理科学(英文版)》2021,(3)
In this study, an inventory analysis approach was used to investigate the intensity of agricultural non-point source pollution(ANSP) and its spatial convergence at national and provincial levels in China from 1999 to 2017. On this basis, spatial factors affecting ANSP were explored by constructing a spatial econometric model. The results indicate that: 1) The intensity of China's ANSP emission showed an overall upward trend and an obvious spatial difference, with the values being high in the eastern and central regions and relatively low in the western region. 2) Significant spatial agglomeration was shown in China's ANSP intensity, and the agglomeration effect was increasing gradually. 3) In the convergence analysis, a spatial lag model was found applicable for interpretation of the ANSP intensity, with the convergence rate being accelerated after considering the spatial factors but slower than that of regional economic growth.4) The spatial factors affecting the ANSP intensity are shown to be reduced by improving agricultural infrastructure investment, laborforce quality, and crop production ratio, while the expansion of agricultural economy scale and precipitation and runoff have positive impact on ANSP in the study region. However, agricultural research and development(RD) investment showed no direct significant effect on the ANSP intensity. Meanwhile, improving the quality of the labor force would significantly reduce the ANSP intensity in the surrounding areas, while the precipitation and runoff would significantly increase the pollution of neighboring regions. This research has laid a theoretical basis for formulation and optimization of ANSP prevention strategies in China and related regions. 相似文献
15.
《中国地理科学(英文版)》2021,(4)
To solve the problems caused by irrational land-use, studying the functions of land-use, its changing characteristics, and the relationship between each land-use function will be beneficial for achieving sustainable land development. In this research, we constructed an evaluation framework of multiple land-use functions(LUFs) based on sustainable land-use theory. Specifically,, we classified the multiple LUFs into three types: agricultural production function(APF), living function(LVF), and ecological service function(ESF).We then spatialized the economic and social data, and implemented the InVEST(Integrated Valuation of Ecosystem Services and Tradeoffs) model and RUSLE(Revised Universal Soil Loss Equation) model to evaluate each sub-LUF(crop production, aquatic production, woodlands production, livestock production, living space, life quality, water supply, soil conservation, climate regulation, biological conservation) in central China in 2000 and again in 2015. Moreover, by analyzing the changes to LUFs and the relationships between each LUF change, we were able to discern patterns of LUF change in central China. The results show that: 1) 42.12% of total territory in the study area increased their APF from 2000 to 2015, while 43.41% of the lands increased their ESF yet only 8.98% of the lands increased their LVF; 2) in Hubei and Hunan, there was more land with an increase of APF than in Anhui or Jiangxi. The APF in Jiangxi exhibited the greatest decline over time period, the LVF increased more in the provincial capital cities than in other regions, and the ESF expanded more in Jiangxi than in the other provinces; and 3) the changes in APF were significantly and positively correlated with changes in LVF. Additionally, changes in ESF were negatively but non-significantly correlated with changes in APF and LVF. 相似文献
16.
20世纪90年代中国东西部土地利用变化时空特征分析 总被引：2，自引：2，他引：0
香宝 《地球信息科学学报》2005,7(1):28-37,2
在覆盖全国的1km栅格土地利用本底与动态成分数据时空信息平台支持下,应用土地利用动态度模型,分别计算了全国及东西部地区土地利用一级类型的单一和综合动态度,并分析了土地利用动态度的空间格局。通过分析东西部土地利用类型变化特征和土地利用类型转换特征,对20世纪90年代中国东西部土地利用变化过程的时空特征进行了全面分析,揭示了东西部地区土地利用变化的时空规律。并对主要土地利用类型变化的原因进行了分析。 相似文献
17.
Based on the interprovincial panel data of 2000–2014, this paper carries out an empirical analysis on the relationship between energy abundance and economic growth to test the theoretical hypothesis of ‘resource curse' and explore its transmission mechanism for China and its three regions. The results show that, at the national level, positive correlation is present between energy abundance and economic growth, proving that the ‘resource curse' phenomenon does not exist in China as a whole. Moreover, material capital input, human capital input and the level of opening to the outside world could promote economic growth, while technology innovation input may hinder economic growth. As seen by region, a positive correlation also exists between the energy abundance and economic growth in the eastern and western regions, and there is no ‘resource curse' phenomenon either. In all three regions, the human capital input could promote economic growth. Material capital input could promote economic growth in the eastern but hinder economic growth in the western region; the level of opening to the outside world could promote economic growth in the eastern region. It is known through further survey and analysis on the transmission mechanism of resource curse that, at the national level, material capital input, human capital input, and the level of opening to the outside world present positive correlation with energy abundance, indicating that energy development becomes an important transmission factor by strengthening material capital input and human capital input and raising the level of opening to the outside world. However, technology innovation input presents negative correlation with energy development. As seen by region, both the material capital input and human capital input present positive correlation with energy development strength in the three regions. Similar as the eastern region, the level of opening to the outside world presents positive correlation with energy industry development in the middle and western regions; however, the energy development presents negative correlation with technology input level in the western region. 相似文献
18.
Rongxing Guo 《中国地理科学(英文版)》1994,4(3):204-209
Based on the spatial organizational structures of the provincial border-regions (a border-region is one which borders two
or more independent administrative regions), we build a spatial economic model for N-provincial border-regions (a N-p border-region
is one which is under the jurisdiction of N provincial governments) and find that, for a given region with same geographical
condition and resources endowment, the largest output of a N-p border-regional system will not exceed that of a (N-1)-p border-regional
system, i.e., F1*>F2*...>FN−1*>Fn*. Using the model in this paper, we present a quantitative method to calculate the economic impacts of "provincial borders"
and apply it to the border-region of Shanxi, Hebei, Shangdong, and Henan provinces. The results shows that the economic potential
in the border-region has not been efficiently exploited and that the annual gross agricultural products have decreased by
10.4% due to the 4-p borders.
Financial supports from China National Science Foundation and National Social Science Foundation are graterfully acknowledged. 相似文献
19.
生态多样性(ecological diversity)是诸如物种和景观元等研究对象丰富性和空间分布均一性的综合,其多尺度测算与模拟已经成为生态学界研究的热点之一。其与传统多样性模型相比,Scaling生态多样性模型能够综合反映均一性和丰富性两个方面的多样性信息,同时考虑了空间尺度因素的作用,是一个理论上完美的生态多样性模型。利用Scaling生态多样性模型对中国西部地区三期遥感数据进行模拟,结果表明:①20世纪80年代末期-90年代末期,中国西部地区景观元多样性先减少后增加,其内部明显具有东高西低的空间分布规律;②省级行政区尺度上模拟结果说明陕西省景观元多样性最高,新疆维吾尔族自治区和西藏自治区最低;西藏自治区景观元多样性变化最显著,而甘肃省和重庆市变化最小;③县级行政区尺度上模拟结果发现中国西部地区存在11个景观元多样性的关键地区;④对比各尺度模拟结果,发现中国西部地区整体景观元多样性大于各省级行政区,各省级行政区大于省内县级行政区,说明Scaling多样性模型能够反映空间尺度因素与生态多样性间存在的正向相关关系。 相似文献
20.
Guo Rongxing 《中国地理科学(英文版)》1994,(3)
郭荣星ＴＨＥＥＣＯＮＯＭＩＣＩＭＰＡＣＴＯＦＳＰＡＴＩＡＬＯＲＧＡＮＺＡＴＩＯＮＡＬＳＴＲＵＣＴＵＲＥＳＯＮＴＨＥＰＲＯＶＩＮＣＩＡＬＢＯＲＤＥＲ－ＲＥＧＩＯＮＳＯＦＣＨＩＮＡ￥ＧｕｏＲｏｎｇｘｉｎｇ（ＳｃｈｏｏｌｏｆＥｃｏｎｏｍｉｃｓａｎｄＴｒａｄ... 相似文献