1978-2011年间中国区域消费水平的时空演变

区域消费水平是经济发展的重要动力。本文以1978-2011年间我国各省区的人均消费品零售额表征区域消费水平,在我国区域消费水平差异测度的基础上,对区域消费水平差异的时间序列值进行突变点检测,进而将我国区域消费水平变化划分为1978-1986年和1986-2011年2个阶段。通过利用传统马尔科夫链及空间马尔科夫链方法,分别构建人均消费水平的非空间和空间马尔科夫转移概率矩阵,对1978-1986年与1986-2011年2个阶段的区域消费水平的时空格局演变特征进行分析。研究结果表明：（1）区域消费水平在2个研究时段内的变化均存在着“俱乐部趋同”现象,无论是低消费水平与高消费水平区域均沿着最初类型稳步演进。（2）区域消费水平变化受到来自邻域消费水平背景的影响,使得其趋同的过程在空间上不独立。（3）区域间消费水平相互作用呈现出显著的东西分异特征,东部地区多为区域自身消费水平与邻域消费水平同时向上转移的状态,西部地区多为向下转移的状态,而中部地区多为平稳分布,邻域消费水平的状态变化较大。     

京津冀都市区经济增长空间分异的GIS分析

基于GIS技术和探索性空间数据分析(ESDA)方法,利用京津冀都市区1995-2007年人均GDP数据,对京津冀都市区经济发展水平、经济增长率及其和初始发展水平动态关系进行了深入的研究。研究表明:(1)京津冀都市区经济差异和空间集聚都呈逐步扩大趋势,空间依赖增强,经济差异和空间集聚呈较高的正相关关系,京津冀都市区经济发展水平空间集聚的增加,在一定程度上加大了经济差异。(2)京津冀都市区内部形成了两大空间集聚区,一个以北京、天津、唐山为核心的高经济发展水平的集聚区;另一个是以承德、张家口和保定为核心的低经济发展水平的集聚区。(3)初始经济发展水平局部空间自相关类型不同的区域,经济增长率与初始发展水平的动态关系不同,初始发展水平高的空间集聚区表现出明显的经济收敛性,而初始发展水平低的空间集聚区中的多数地区则有落入"恶性循环累积陷阱"的倾向。     

中国区域经济发展的地区差异GIS分析

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...     

区域人口迁移时空溢出效应与动力机制分析

区域人口迁移流的规模不仅取决于迁出地与目的地的“双边”要素,也与前期迁移流和周边迁移流息息相关。传统重力模型揭示了区域人口迁移过程的“推-拉”机制,但受制于对时空维度的忽视,无法有效表达迁移流之间的时空依赖关系,因而难以度量区域要素变化对迁移流产生的时空溢出效应。本文引入多种形式的时空依赖结构,构建迁移流时空重力模型,并采用贝叶斯马尔可夫链蒙特卡洛（MCMC）方法进行估计。在此基础上,结合时空效应框架量化区域要素对迁移流的影响,定量分析人口迁移过程的时空溢出效应与动力机制。本文以1985-2015年中国省际人口迁移为例,通过与非空间的动态重力模型估计结果比较,初步表明时间依赖、空间依赖以及时空扩散依赖在区域人口迁移过程中不容忽视;时空维度上,区域要素变化在初期对迁移网络的溢出效应超过对该区域迁移流的直接影响;逐渐衰减的时空溢出效应维持了区域人口迁移规模发展的相对稳定,与动态重力模型估计结果形成了鲜明对比。区域人口规模、人均GDP水平及其时空溢出效应共同驱动中国省际人口迁移系统的发展。耦合时空维度依赖关系的时空重力模型能更好地理解区域人口迁移过程的演化特征,为促进区域人口均衡发展提供科学的决策依据。     

江苏省商业网点的空间分布特征及其区域差异因素

以江苏省商业网点POI（兴趣点）数据为基础,结合经济社会统计数据,分别对批发零售业、住宿业和餐饮业三种业态类型,运用标准差椭圆、核密度、最近邻指数以及多元线性回归等分析方法,探讨不同发展水平、发展阶段城市商业网点的空间分布模式和业态结构特征,并揭示其区域差异的影响因素。研究发现：江苏省商业网点总体上具有西北走向分布态势,呈现相对集中分布格局,表现出在长江以南地区集聚和在地级城市中心城区密集布局的特征;不同业态类型网点空间分布具有差异,批发零售业网点的空间集聚特征最显著,住宿业网点的分布相对均衡;各市商业业态结构呈现出批发零售业和餐饮业网点数量为主,以及批发零售业销售额独大的特征;地区生产总值、人口规模、居民人均可支配收入、城市综合可达性以及第三次产业产值比重是影响商业网点分布的重要因素,不同因素对商业网点分布的影响程度差异性较大,居民消费能力和地区发展水平是江苏省商业网点分布差异的主要驱动力。     

近20年来黄土高原地区的经济增长时空分异特征

 经济不均衡增长是区域发展的一种常态。分析区域经济增长时空差异及成因,对于认识和加快落后地区的经济发展具有重要的意义。本研究在GIS技术的支持下,对黄土高原地区近20年来以县市为单元的经济增长时空分异特征进行了系统的分析。主要结论有:改革开放以来,黄土高原地区的GDP水平呈现出持续的快速增长态势。近20年来,陕北和内蒙古鄂尔多斯地区增长最为迅速;人均GDP的空间分布整体上呈现出"两高一低"的带状分布格局,且这种格局明显地受到极化增长的扰动和重塑;经济增长表现出显著的极化增长特征,且经济增长极的极化作用与增长极之间地位的调整是同时进行的;与常态化的城市产业集聚推动型经济相比,机遇性的资源开发拉动型经济对人均GDP的拉动速度更快,但可持续性较差。未来,黄土高原地区应走以中心城市带动为主,以能矿产资源开发拉动为辅,两者相互促进,共同带动整个区域经济更快、更好、更可持续地发展的道路。     

Regional disparity and convergence of China’s inbound tourism economy

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.     

CHINA＇S REGIONAL DISPARITY IN 1981-2000：OPENNESS AND DEVELOPMENT OF NON-STATE-OWNED ENTERPRISES AND FISCAL DECENTRALIZATION

While China‘s economic growth has been impressive since 1978, regional disparity in terms of provincial per capita GDP has been increasing. On the other hand, this rapid but uneven growth was accompanied by China‘s deepening openness and structural reforms including the development of non-state-owned enterprises (non-SOEs) and fiscal decentralization. Based on quantitative analyses, this paper tries to explore the features of regional disparity in China and the relationships between regional growth and China‘s openness and economic structure reforms in the period from 1981 to 2000, The paper finds that the catching-up of the coastal region to the initially rich provinces, which are mainly located in inland areas, brought about a convergence of the growth pattern across provinces in the 1980s. The subsequent divergence in the provincial growth rates between the coast and the interior generated an enlarging regional disparity in China in the 1990s. The ever-faster growth in the coastal region was benefited by China‘s openness and the development of non-state-owned enterprises. The development of non-state-owned enterprises underlies the higher operational efficiency in the coastal region. Additionally, with the insignificant regression results, fiscal decentralization was observed to facilitate faster growth in the coast region. The findings justify the initiative of the “West Region Development Strategy“ and offer some policy implications for China.     

Effects of the Northeast China Revitalization Strategy on Regional Economic Growth and Social Development

Measuring the economic and social effects of the Northeast China Revitalization Strategy is critical to addressing regional sustainable development in China. To shed light on this issue, an integrated perspective was adopted that is combined with the difference-in-differences method to measure the effects of the strategy on economic growth and social development in Northeast China. The findings suggest that the strategy has significantly improved regional economic growth and per-capita income by increasing its gross domestic product(GDP) and GDP per capita by 25.70% and 46.00%, respectively. However, the strategy has significantly worsened the regional employment in the secondary industry of the region. In addition, the strategy has not significantly improved regional infrastructural road, education investment or social security, and has had no significant effect on mitigating regional disparity. In addition, the policy effects are highly heterogeneous across cities based on city size and characteristics. Therefore, there is no simple answer regarding whether the Northeast China Revitalization Strategy has reached its original goals from an integrated perspective. The next phase of the strategy should emphasize improving research and development(RD) and human capital investments based on urban heterogeneity to prevent conservative path-dependency and the lock-in of outdated technologies.     

Regional Equity and Influencing Factor of Social Assistance in China

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. Th...     

Regional ecological security and diagnosis of obstacle factors in underdeveloped regions: a case study in Yunnan Province,China

In order to clarify regional ecological security status and formation mechanism of regional ecological security barriers in underdeveloped regions of China, we took Yunnan province as a case to evaluate its regional ecological security by using entropy matter-element model, comprehensive index and GIS spatial method, and we diagnosed its obstacle factors through obstacle degree model. We found a low overall level of regional ecological security in Yunnan. Only Kunming fell into the good level, 68% of the regions were below the critical safe level. For the vast majority of regions in Yunnan, their regional ecological security was unstable. The indexes related to per capita resources, geological and topography environment, economic, and technology were at the unsafe or dangerous level. The indexes related to urban expansion, level of income, cultivated land quality were at the level of critical safety. The indexes concerning urban management capacity, air quality and water environment were at the good or ideal level. Yunnan’s regional ecological security was not good due to natural obstructive environment itself, simultaneously lower backward economic and social level restricted the ability of ecological security response to manage ragile ecological environment. The results of the composite index were roughly consistent with those of the entropy weight matter-element model. The mean values of the classification index, from high to low, were: the state index > the response index > the pressure index. The state index and the response index had a significant mutual promotion to each other. The regions with good composite index, state index and response index mainly distributed in the central regions of Yunnan Province. Spatial autocorrelation of regional ecological security level in Yunnan was not obvious. Water resources, economic and social development were main obstacle factors of the regional ecological security. When distinguishing with obstacle type, Kunming belonged to natural ecological environment barrier type, while other regions belonged to economic and social barrier type.     

Mapping determinants of rural poverty in Guangxi–a less developed region of China

Rapid urbanization in China has led to an increasing imbalance in regional development. The Guangxi Zhuang Autonomous Region, a less developed border region with unique cultural diversity, has a relatively large population(4.52 million people in 2015) under the poverty line, according to the national standard of poverty. China has launched a national campaign to reduce poverty using a wide range of new development policies and large-scale investment. However, there have been few studies on the determinants of poverty at the county level across a province. This paper aims to explore the spatial and social differences related to poverty among 109 counties by considering the spatial heterogeneity of poverty determinants. Spatial statistical models revealed that slope(Slp), GDP per capita(GDPP), the ethnic minority population ratio(EMPR), medical and technical personnel of healthcare institutions(MTP) and illiteracy rate(IR) significantly affect the patterns of the poverty rate, with a high adjusted R2(0.67), while the poverty rate affects GDPP, IR, MTP and EMPR; i.e., the effects are interactional. Furthermore, the IR is significantly affected by the provision of schools and transportation conditions. Among these determinants, social factors may be key. The spatial patterns of these relationships demonstrate remarkable variation across the province and between minor and major groups. This quantitative evidence is enhanced by indepth interviews with selected groups. These results are expected to be useful for the anti-poverty project in Guangxi.     

Shift-share Analysis on International Tourism Competitiveness - A Case of Jiangsu Province

Shift-share analysis has been confirmed a useful approach in the study of regional economics and many kinds of extended shift-share models have been advanced and put into practice in economic studies, but few have hitherto been introduced and applied to the tourism research in China. Moreover understanding the spatially competitive relationship is of paramount importance for marketers, developers, and planners involved in tourism strategy development. Based on international tourism receipts from 1995 to 2004, this study aims at probing into the spatial competitiveness of interna- tional tourism in Jiangsu Province in comparison with its neighbors by applying a spatially extended shift-share model and a modified dynamic shift-share model. The empirical results illustrate that exceptional years may exist in the ap- plication of dynamic shift-share models. To solve this issue, modifications to dynamic shift-share model are put forward. The analytical results are not only presented but also explained by the comparison of background conditions of tourism development between Jiangsu and its key competitors. The conclusions can be drawn that the growth of international tourism receipts in Jiangsu mainly attributes to the national component and the competitive component and Zhejiang is the most important rival to Jiangsu during the period of 1995-2004. In order to upgrade the tourism competitiveness, it is indispensable for Jiangsu to take proper positioning, promoting and marketing strategies and to cooperate and integrate with its main rivals.     

Effects of Industrial Relocation on Chinese Regional Economic Growth Disparities: Based on System Dynamics Modeling

The economic growth of China has led to increasing growth disparities between regions. Such disparities are uncontrolled and are severely negative symptoms in the process of economic development. On the basis of system dynamics （SD） modeling and the rela- tionship between industrial relocation and regional economic growth, we construct a model of the interrelationship between the two aforementioned phenomena. The model is an effective and creative exploration for examining effects of industrial relocation on Chinese regional economic growth disparities. The SD model is employed in this study to build an inter-regional labor migration SD model, an inter-regional capital migration SD model, an intra-industry SD model, an intra-regional population SD model, and an intra-regional SD model which are based on realities in labor and capital flow from the view of industrial relocation. VENSIM software is utilized to per- form a system simulation based on the data of the eastern, middle, and western regions from 2000 to 2010. Results show that indus- trial relocation gradually narrows the relative disparity in GDP among the three regions. Moreover, the absolute one is enlarged con- tinuously. The absolute and relative disparities in per capita GDP among eastern, middle, and western regions generally exhibit de- creasing trends.     

Agricultural Non-point Source Pollution in China: Evaluation,Convergence Characteristics and Spatial Effects

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 eas...     

黄河三角洲高效生态经济区生态环境承载力分析

以黄河三角洲19个地区2010年统计年鉴的数据为依据,应用生态足迹法,对该区2010年的生态足迹进行计算与分析。结果表明,黄河三角洲地区的生态足迹均为赤字,人均生态足迹为68．396 hm2,人均实际可利用生态承载力为14．057 hm2,人均生态赤字为54．339 hm2。反映出评价区人类的生产、生活强度超过了生态系统的承载能力,区域生态系统处于被人类过度开发利用状态。     

我国区域经济β-趋同的空间计量分析

运用Moran’s I指数检验了我国各省区人均GDP的空间相关性,结果表明,我国各省区的人均GDP存在显著的正空间相关,而传统的趋同检验方法未能消除异方差和自相关的影响。选用能消除异方差和自相关的空间计量模型对我国省际条件β-趋同进行检验,结果表明,我国各省区间存在条件β-趋同,趋同速度大约为2.05%,高于传统趋同经验研究得到的2%趋同速度。     

欧亚北方森林MODIS 14数据的林火变化分析——以俄罗斯欧洲地区为例

人为或自然因素造成的森林火灾常导致森林覆盖和结构的变化,对森林碳循环产生重大影响。MODIS热异常-火灾产品(MOD14)包含地表火灾位置、可信度、火点辐射能量及其他属性信息,可用于火灾频率、等级及其变化的监测。本研究以俄罗斯欧洲地区的北方森林为研究对象,采用2005-2010年每日MODIS14数据和GIS空间分析方法,对研究区过火像元进行判别提取,分析该地区林火时空变化规律,并探讨驱动因素。结果显示,俄罗斯欧洲地区森林火灾主要分布在中南部。近年来,火灾数量呈上升趋势,2010年的火灾覆盖范围是2005年的1.5倍;年内火灾发生情况随时间波动,火险期为每年的4-10月;极端干旱天气造成的的特大型火灾事件在本研究结果中得以反映。     

在GIS支持下的区域经济发展类型分析——以安徽省为例

从县域经济类型划分的角度,采用一种新的思路方法并借助于GIS强大的空间分析以及Splus for Arcview模块统计分析功能,对安徽省县域经济进行了分析。首先利用GIS相关软件的插值和叠加显示功能生成安徽省县域人均GDP、相对增长速度和局域空间自相关专题图形,分析显示安徽省县域经济存在的巨大差异。然后对上述3个专题图形进行图层信息提取,并利用Splus for Arcview模块进行聚类分析,再把聚类结果叠合显示,得出安徽省经济类型分区,全省划分为5个类型区。最后对分区的合理性进行了验证。