Organizational Dynamics of the U.S. Logistics Industry: An Economic Geography Perspective*

Although the logistics industry provides critical services to all sectors of the economy, few studies exist in economic geography that examine and explain the organizational dynamics of this industry. This article highlights the significance of the logistics industry in contemporary industrialization and argues that an enriched understanding of the interaction between technology and space can be achieved by examining the evolution of an industry that plays a central role in the contemporary economy. We focus on dimensions that are identified as particularly important: organizational, geographic, and risk and security.     

Effect of sampling and linkage on fault length and length–displacement relationship

The power-law exponent (n) in the equation: D=cL ⁿ , with D = maximum displacement and L = fault length, would be affected by deviations of fault trace length. (1) Assuming n=1, numerical simulations on the effect of sampling and linkage on fault length and length–displacement relationship are done in this paper. The results show that: (a) uniform relative deviations, which means all faults within a dataset have the same relative deviation, do not affect the value of n; (b) deviations of the fault length due to unresolved fault tip decrease the values of n and the deviations of n increase with the increasing length deviations; (c) fault linkage and observed dimensions either increase or decrease the value of n depending on the distribution of deviations within a dataset; (d) mixed deviations of the fault lengths are either negative or positive and cause the values of n to either decrease or increase; (e) a dataset combined from two or more datasets with different values of c and orders of magnitude also cause the values of n to deviate. (2) Data including 19 datasets and spanning more than eight orders of fault length magnitudes (10⁻²–10⁵ m) collected from the published literature indicate that the values of n range from 0.55 to 1.5, the average value being 1.0813, and the peak value of n _d (double regression) is 1.0–1.1. Based on above results from the simulations and published data, we propose that the relationship between the maximum displacement and fault length in a single tectonic environment with uniform mechanical properties is linear, and the value of n deviated from 1 is mainly caused by the sampling and linkage effects.     

3G技术与现代物流管理技术的集成模式研究

3G技术能够对现代物流作业与管理进行有效地监督和控制,3G技术与现代物流管理技术的集成是物流业发展的客观需要。探讨了3G技术与现代物流管理技术的集成模式,对于以GIS技术为平台支撑、以定位技术和无线通信技术为辅助手段的分布式空间物流信息系统的建设具有一定的意义。     

Entropy Analysis of Multiple Scale Causality and Qualitative Causal Shifts in Spatial Systems*

Spatial systems are typically characterized by multiple controlling factors and processes operating at different spatial and temporal scales (multiple scale causality [MSC]). An entropy decomposition‐based approach to MSC is presented here in two contexts. First, given maps or distributions of an observed phenomenon at two or more scales, the contribution at more local or global (relative to the primary scale of observation) controls to the observed entropy can be estimated. Second, a theoretical treatment of the entropy decomposition equations shows that as the range of scale is increased by broadening or narrowing resolutions or by incorporating more controls, the influence of larger or smaller‐scale influences not only changes, but may change qualitatively, e.g., in terms of having positive (entropy‐increasing) or negative (information‐increasing) effects. Such qualitative causal shifts have implications for efforts to use any single causal explanation across the molecular to planetary spatial and instantaneous to geological range of scales relevant to physical geography. The entropy decomposition method is illustrated with an application to soil landscapes in the Ouachita Mountains, Arkansas.     

省市级基础地理信息框架数据联动更新探究

基于潍坊市寿光基础地理信息数据库建设更新工程与省地理信息公共服务平台框架数据更新工程,探索了省市基础地理信息框架数据联动更新的工作模式,提出了通过建立多比例尺基础框架数据的方式,建立省市基础框架数据库的联系,通过增量更新的模式完成省市两级基础框架数据库联动更新的方法。     

产业地理集聚与外商直接投资产业分布——以北京市制造业为例

外商直接投资理论强调跨国公司的垄断优势和东道国的区位优势决定外商直接投资的产业分布。本文认为外商直接投资的产业分布还可能取决于因产业地理集聚和地方化贸易所形成的竞争优势。本文采用1999~2004年北京外商直接投资的产业流资料建立面板数据回归模型,引入产业地理集聚系数、产业联系等变量来研究影响外资产业分布的因素。统计分析表明,在空间上比较集聚、产业内联系较强的产业能够吸引更多的外商直接投资;前期外商投资对于跟进投资具有显著的示范效应、信息溢出效应以及产业联系效应,从而直接导致外资的产业累积效应。外商也强烈偏好资本技术密集型产业以及在国际市场上具有显著比较优势、盈利率高的产业。外商在充分利用其垄断优势、产业比较优势和竞争优势的同时,也尽量避开实际劳动成本较高和进入壁垒较高的垄断性产业。本文的结果显示,发挥本地优势,完善产业配套,促成产业集群是提升城市吸引外商直接投资的有效途径。     

渤海海峡跨海通道建设前后区际城市群物流网络结构的时空演变

随着网络社会不断崛起,城市空间内涵发生了明显改变,已经成为人文地理学研究的新的重要内容。通过改进重力模型,基于有向加权网络分析方法以及BRIM算法,探讨了渤海海峡跨海通道建设前后山东半岛城市群与辽中南城市群物流网络结构的演变过程,研究发现：①渤海通道建设主要影响城市低等级物流联系,对高等级网络的影响局部集中在辽中南南部和山东半岛东部且自身物流规模较大的城市之间,其中大连、沈阳以及青岛、烟台、潍坊、济南等少数重点城市之间垄断了大量的物流资源;② 通道建设促进了“双通道双向合成流”格局形成,在各自城市群内部,物流结构将出现陆、海方向上的分离性变化,大连、烟台作为通道门户城市的地位逐渐确立;③ 首位离心流、向心流格局在演变过程中均表现出渤海通道指向性,仅有沈阳⇄济南、沈阳⇄淄博、大连⇄青岛、鞍山⇄潍坊等少数城市之间保持了常态化互惠关系,但互惠程度并不对称,辽中南地区城市的物流输出规模普遍高于具有互惠关系的山东半岛城市,前者表现为典型的“双核-边缘”结构,后者具有多极网络化特征;④ 通道建设前后山东半岛城市群的物流城市类型保持稳定,辽中南地区的向心流主导型城市则不断向铁岭、抚顺、本溪等东北部城市蔓延;⑤ 大连在渤海通道建设后首次与烟台、青岛等山东半岛城市群东部城市实现了同一子群结构衔接,总体上优化了山东半岛与辽中南城市群的物流空间格局。     

城市群创新联系网络结构与创新效率研究

引入修正引力模型、社会网络分析方法、DEA模型以及Tobit模型,探讨2001—2015年京津冀、长三角、珠三角三大城市群的创新联系网络结构对创新效率的影响。研究表明：① 创新联系格局方面,京津冀城市群呈现以“京津”为核心的放射状发展特征,长三角城市群呈现以“Z”字形为主轴的类钻石型空间格局,珠三角城市群形成了以珠江口两侧城市为核心、其他城市为重要节点的空间格局;② 在创新联系网络结构特征方面,京津冀城市群呈极核式发展,群内创新联系高度依赖于核心城市,长三角和珠三角城市群由单中心驱动转变为多中心驱动,呈均衡发展特征,京津冀和珠三角城市群创新联系网络具有“小世界”网络特征;③ Tobit模型回归结果显示,三大城市群中,城市节点在城市群创新联系网络中的中心位置、中介地位、对结构洞的运用能力和集聚程度对其创新效率的影响存在差异。     

陆海社会经济关系及其演进研究综述

陆域与海域的社会经济发展是沿海区域可持续发展的重要表现,共同作用于沿海区域经济,但在长期“重陆轻海”的理念下,陆域与海域社会经济关系并未得到有序发展,两者需在长期发展中寻求社会经济关系的平衡点,促进沿海区域绿色协调发展。从海洋经济与沿海陆域经济发展、陆海联动、陆海一体化、陆海统筹等4个方面综述了陆海社会经济关系的研究进展,并指出未来陆海社会经济关系研究应突破现有的研究视角与方法;加强陆海社会经济统计指标体系的构建研究;注重陆海社会经济不同尺度下的时空序列研究;强化陆海社会经济战略下综合性管理监督机制;同时优化其理论体系的构建,注重实践性与对比性的研究。     

甘肃省旅游产业关联及产业波及分析

运用旅游经济学中产业关联的有关理论,以甘肃省投入—产出表为依据,对旅游业的产业关联和产业波及效应进行定量分析,通过对旅游业的投入结构、产出结构、影响力及影响力系数、感应度与感应度系数等指标的分析,探讨甘肃省旅游业与其他产业之间的关联程度、旅游业对国民经济各产业部门的拉动作用、各产业部门对旅游业的推动作用。