基于空间分析的中国省域旅游经济差异

本文基于ESDA全局和局域空间自相关分析,利用我国2007年省域旅游经济数据,对我国省域旅游经济总体和局域空间差异特征进行了初步探索。结果表明(1)我国省域旅游经济发展水平相似的地区在空间上集中分布,较大的空间正相关特性表明了我国省域旅游经济空间差异的存在;(2)我国省域旅游经济的空间关联模式可分为扩散效应区(H-H)、极化效应区(H-L)、过渡区(L-H)和低速增长区(L-L)四种类型;(3)我国旅游经济和旅游资源禀赋呈正相关关系,但旅游经济的发展并不完全依赖于旅游资源禀赋。最后针对研究结果提出了促进我国区域旅游经济协调发展的对策建议。     

影响县域发展的空间结构——以江苏省新沂市为例

根据空间结构理论,运用空间作用原理,以江苏省新沂市为研究样本,对影响县域发展的空间结构作了初步研究。指出新沂由于远离经济核心城市、并处于徐连双核结构的中点是其发展滞后的空间方面的客观原因,并提出实施“T”字型开发战略、构建宿新双核结构和新沂中心城市圈等有利于新沂及其邻近地区的空间发展思路。     

Corporate Stock and Bond Return Correlations and Dynamic Adjustments of Capital Structure

This paper analyses the effects of dynamic correlations between stock and bond returns issued by the same firm on the speed of adjustment towards target leverage. The results show that the estimated correlations are time varying, show persistence and differ among firms. Analysis of the potential explanatory variables reveals that the correlations decrease with negative expectations about future aggregate risks, but only for firms with a low default probability. In contrast, correlations are positively associated with specific risk measures, especially idiosyncratic stock risk and financial leverage. The positive relationship between the correlations and the leverage ratio suggests that target leverage can be achieved faster when the stock–bond correlation is high. Our results show that this is the case.     

Exchange rate contagion in Latin America

A regular vine copula approach is implemented for testing for contagion among the exchange rates of the six largest Latin American countries. Using daily data from June 2005 through April 2012, we find evidence of contagion among the Brazilian, Chilean, Colombian and Mexican exchange rates. However, there are interesting differences in contagion during periods of large exchange rate depreciation and appreciation. Our results have important implications for the response of Latin American countries to currency crises originated abroad.     

Accommodating spatial correlation across choice alternatives in discrete choice models: an application to modeling residential location choice behavior

This paper presents a modeling methodology capable of accounting for spatial correlation across choice alternatives in discrete choice modeling applications. Many location choice (e.g., residential location, workplace location, destination location) modeling contexts involve choice sets where alternatives are spatially correlated with one another due to unobserved factors. In the presence of such spatial correlation, traditional discrete choice modeling methods that are often based on the assumption of independence among choice alternatives are not appropriate. In this paper, a Generalized Spatially Correlated Logit (GSCL) model that allows one to represent the degree of spatial correlation as a function of a multi-dimensional vector of attributes characterizing each pair of location choice alternatives is formulated and presented. The formulation of the GSCL model allows one to accommodate alternative correlation mechanisms rather than pre-imposing restrictive correlation assumptions on the location choice alternatives. The model is applied to the analysis of residential location choice behavior using a sample of households drawn from the 2000 San Francisco Bay Area Travel Survey (BATS) data set. Model estimation results obtained from the GSCL are compared against those obtained using the standard multinomial logit (MNL) model and the spatially correlated logit (SCL) model where only correlations across neighboring (or adjacent) alternatives are accommodated. Model findings suggest that there is significant spatial correlation across alternatives that do not share a common boundary, and that the GSCL offers the ability to more accurately capture spatial location choice behavior.     

江苏省产业结构升级对就业结构的影响研究

作为全国的一个经济大省,受国际、国内形势的影响,2010年的江苏经济发展面临严峻的挑战。经济增长和充分就业是宏观经济发展的两大目标,而产业结构是产业之间和产业内部在社会再生产过程中形成的技术经济联系,是经济结构的核心,促进产业结构升级是实现经济增长的关键。本文运用灰色关联分析方法,从横向和纵向两个角度分析江苏省产业结构升级对就业结构的影响,在此基础上提出了促进就业结构优化的建议。     

历史文化街区业态特征及其影响因素研究——以长沙太平街为例

历史文化街区业态的特征是市场规律的体现。本研究以长沙太平街历史文化街区实地调研数据为主,网络平台相关数据为辅,对商铺业态分类,从多个视角透视街区业态特征,运用无序多分类逻辑回归,探讨业态类型的影响因素。研究发现：（1）历史文化街区商铺业态类型可优化为餐饮、购物、住宿、游览娱乐和其他5个大类15个中类;（2）业态水平空间分布表现出商铺面积规模的插花分布现象和业态两两组合的多样化特点,业态垂直空间分布由低层向高层表现出商铺数量、业态种类递减,商铺面积规模递增,业态多样性弱化、集中性强化的态势;（3）业态空间集聚表现出街巷入口、尽头的垂直分布集聚和商铺面积规模的“集聚-分异”现象;（4）商铺面积规模、街巷类型和集体记忆表征水平变量显著影响业态类型,饮品、小吃、服装、特产、住宿类型业态布局与街巷类型变量存在显著相关关系,特产、饰品、住宿类型业态布局与商铺面积规模变量存在显著相关关系,服装、娱乐类型业态布局与集体记忆表征水平变量存在显著相关关系。     

中国—荷兰中欧班列货源结构时空演化研究

欧盟一直是我国最重要的贸易合作伙伴之一,荷兰则是我国在欧盟的前三大贸易伙伴之一,中荷贸易关系是中欧贸易关系中重要的一环,中欧班列的区域货源结构对中欧班列功能定位和发展规划意义重大。为明确中荷贸易背景下货源结构动态演化过程、特征及机制,在模糊C均值基础上,结合邻接矩阵对聚类分析结果进行修正,将各离散点货源数据进行合并聚类,剖析其时间和空间层面的演变及原因,探究货源结构时空演化趋势。结果表明:2014—2018年,中荷之间货源数量整体呈上升趋势,货源时空布局呈现空间集聚效应,表现为“由整到散”“西高东低”的演化态势。最后提出相关政策建议。     

高速铁路影响下京津冀城市旅游空间作用变化特征研究

本文通过对现有高铁和规划高铁两种情境下京津冀地区城市旅游空间相互作用的测算与比较,分析了高速铁路的建设对京津冀地区旅游空间相互作用的空间分布特征、变化幅度和空间差异的影响,并识别了不同城市的主要空间相互作用的联系方向。研究发现:高速铁路显著提升了城市旅游空间相互作用总量,缩小了空间差异。其中,唐山、张家口、承德3个城市获益最大,作为客源地产出作用的位序分别提升了3位、2位和2位,作为目的地接收作用的位序分别提升了3位、4位和4位,而衡水则排在全区最末位。高速铁路网络化运营后,张家口作为客源地产出的空间作用弱于作为目的地接收的空间作用,而秦皇岛作为目的地接收的空间作用小于作为客源地产出的空间作用,且北京、承德作为目的地的空间作用被高速铁路网络放大,而唐山则提高了作为客源地产出空间作用的能力。最后,本文提出,240分钟的旅行时间是城市间产生较强旅游空间作用力的重要分界线,并对京津冀地区在高铁网络化运营时代的旅游产业发展提出了相关建议。     

旅游业—城市化—经济—交通复合系统的耦合协同演化机制 ——以云南省为例

基于云南省16个州(市)的面板数据,运用ArcGIS空间分析、耦合协调度模型等研究方法,从时空视角对云南省旅游业-城市化-经济-交通四个系统的发展水平及其耦合协调发展状况进行了整体评价。结果显示:云南省旅游业、城市化、经济、交通发展水平整体分别提升了48.15%、47.59%、35.91%、46.89%。2005~2017年,云南省各州(市)旅游业-城市化-经济-交通复合系统的耦合协调度呈上升趋势,但87.50%的州(市)仍处于中度耦合失调水平,且空间分异特征显著,形成以昆明为核心的"核心-边缘"梯度递减的空间结构特征,整体呈滇中>滇东南>滇西南>滇西北>滇东北>滇西的空间分布格局。