Late Classic Maya lithic production and exchange at Rio Bec and Calakmul,Mexico

Abstract

The organization of production and exchange of everyday lithic items is important in defining Classic period lowland Maya economic organization, but the current debate relies on the study of a few lithic workshops, whereas little is known about the consumers’ quotidian acquisition of everyday tools. I suggest looking at the problem from the point of view of the household and distinguishing local from nonlocal production by comparing experimental and quantitative data. Examination of the chert collections from households at Rio Bec and Calakmul enabled me to distinguish two different types of chert biface production and distribution during the Late Classic period (a.d. 650–800), namely by means of markets and itinerant craftsmen. Both sites had very different political organizations, but households from both cities acquired lithics through similar networks, showing that this particular aspect of the domestic economy probably had little to do with political power and centralization in the region.     

苏州市旅游者目的地消费支出空间分布特征研究

基于2003年江苏省国内游客抽样调查资料,选择以苏州为目的地的来自188个地级市的3337份有效游客样本,在综合考虑社会经济要素的基础上,采用相关分析等统计学方法进行研究,结果显示:旅游者在苏州市的目的地消费支出空间分布特征曲线分为两个阶段:递增阶段和停滞阶段。采用同样的方法对江苏省内游客样本进行了研究,结果验证了这种空间分布特征的可靠性。从不同细分消费项目角度的进一步研究发现,住宿、餐饮消费项目对总体消费的空间分布特征贡献最大,娱乐消费项目对总体消费的空间分布特征贡献较大,而其它消费项目贡献不显著。     

国内外农村居民点区位研究评述

随着人类经济社会的发展,居民点的外在特征和空间结构也在不断的演化与变迁,居住地点的选址和布局最能反映出人类活动与地理环境之间的相互影响与作用机制。目前国内外在城市居住区位研究方面已经形成大量研究成果,相比之下,农村居民点相关研究还存在一定滞后。文章从居民点区位影响因素、区位演变、居民点分布和等级结构四方面对国外相关研究进行了评述,梳理了国内农村居民点区位研究的相关内容,在此基础上对存在的问题进行了讨论和总结,并对今后研究内容进行了展望。     

中国入境旅游的空间关联特征及其影响因素探析——基于地理加权回归的视角

国内外关于入境旅游的研究已有丰富积累,但现有关于我国入境旅游影响因素的研究均较少考虑地理邻近与空间关联性、空间非平稳性等特征。本文基于修正的旅游引力模型,首次运用地理加权回归模型,探析经济外向度、旅游资源和地理距离对我国31个省域入境旅游影响的空间差异。研究表明：入境游客在空间上具有正相关性（空间依赖性）和集聚特征;经济外向度和旅游资源对入境游客数量都有积极的影响,旅游资源的促进作用相对较大,而地理距离的增加对入境游客数量有负向的影响。并且,各影响因素的系数存在空间非平稳性,经济外向度和地理距离估计系数形成了以东北地区为核心,不断向西南方向扩散的圈层;相反的是,旅游资源对入境旅游的作用程度形成了由西南向东北地区逐渐递减的格局。研究也发现,邻近地区的入境游客数量对本地区具有正向影响,境外游客从目的地向周边地区扩散,省区之间存在空间溢出效应。     

ECONOMIC FUNDAMENTALS AND URBAN–SUBURBAN DISPARITIES

ABSTRACT This paper develops a spatially explicit model to examine how urban and suburban communities evolve differently with changes in local economic fundamentals such as rising income or falling commuting costs in the metropolitan area. The model highlights the importance of environmental amenities and the economy of scale in the provision of public services as determinants of urban spatial structure. Results suggest that urban sprawl, income segregation, and jurisdictional disparities are driven by the same economic conditions and thus tend to co‐exist. Rising incomes or falling commuting costs for high‐income households in a metropolitan area tend to increase land prices and public services in every community, while rising incomes or falling commuting costs for low‐income households can have the opposite effects.     

宁夏县域经济的类型演变特征及其发展路径

对县域经济类型进行划分并对其时空格局演变进行分析是总结县域经济发展模式,制定县域发展政策的重要依据。在对宁夏县域经济发展程度进行划分,以及对其主导产业类型的判定的基础上,将两个判定结果相结合能最终确定县域经济类型。依据此方法对1989-2009年宁夏县域经济类型的演变特征进行分析,结果表明:近20年宁夏县域经济总体上实现了较快的发展;产业类型由单一的农业主导型,逐渐演变为以工业主导型和商贸业主导型为主。总体来讲,有四个类型区的发展路径具有相对一致性,可以分别作为一个政策扶持的类型区。     

西部地区农户经济的空间差异及其发展对策

西部不同地带生态条件的优劣差异决定了西部地区农户经济的空间差异,劣等、中等、优等三类生态条件相应地发育出贫困、温饱、富裕三类群落的农户经济。西部各类农户经济的发展有着不同困难,贫困群落农户脱贫面临人口压力大与生态环境脆弱矛盾突出,及农户人均财政负担重,财政支农能力差的困难,已得温饱的农户面临收入与文化素质低、可带动农户从事产业化经营的企业少的困难,富裕农户面临生产要素流失严重,制度创新滞后的困难。由政府主导,以多种手段、方式带动贫困农户脱贫致富;扶持建立农业合作经营组织,促进已得温饱农户发展农业产业化经营;以制度创新推动富裕农户经济的进一步发展,是应采取的针对性对策。     

我国旅游流研究进展与展望

旅游流研究是旅游地理学研究的核心问题之一,为了总结我国旅游流研究成果,找出我国旅前流研究的不足并指出未来的研究方向,本文对1987-2010年我国旅游流文献进行了梳理。我国旅游流研究历程可以划分为起步、成长和发展三个阶段,可划分为时间分布特征、空间结构特征、时空演化特征、影响因素、驱动机制和规模预测等六类研究主题,但我国旅游流研究也存在六方面的不足,特别是要深入挖掘研究内容,创新研究方法,以推动我国旅游流研究更进一步发展。     

基于齐夫法则的江苏省旅游收入规模结构变化研究

借用齐夫法则研究了江苏省近10年的旅游收入规模结构变化,并与差异度变化加以对比。结果显示无论是国内旅游收入还是国际旅游收入,规模分布均基本遵循齐夫定律,与差异度变化趋势也相一致;无标度区范围均呈扩大趋势,规模结构逐步得到优化。但两者也有不同点:(1)前者从局部单分形演变为几乎覆盖全域的单分形,而后者则从局部单分形→几乎覆盖全域的单分形→局部单分形→双分形;(2)前者是先呈帕雷托模式后呈不规则的帕雷托模式,而后者则是前几年呈不规则的帕雷托模式,后几年标度区一呈对数正态分布模式,标度区二呈不规则的帕雷托模式;(3)前者的规模变差是先扩大后缩小,而后者则是前几年规模变差略有波动,后几年两个标度区之间的差距稍有扩大,但各标度区内部的规模变差却呈缩小趋势。齐夫法则可为分析旅游收入规模结构变化提供新的定量方法。     

COMMODIFYING DANISH HOUSING COMMONS

Housing was a backbone of the Danish welfare state, but this has been profoundly challenged by the past decades of neoliberal housing politics. In this article we outline the rise of the Danish model of association‐based housing on the edge of the market economy (and the state). From this, we demonstrate how homes in private cooperatives through political interventions in the context of a booming real estate market have plunged into the market economy and been transformed into private commodities in all but name, and we investigate how non‐profit housing associations frontally and stealthily are attacked through neoliberal reforms. This carries the seeds for socio‐spatial polarization and may eventually open the gate for commodification – and thus the dismantling of the little that is left of a socially just housing sector. Yet, while the association‐based model was an accessary to the commodification of cooperative housing, it can possibly be an accomplice in sustaining non‐profit housing as a housing commons.     

港口连通性及其影响因素的时空差异——以中国环渤海港口为例

为明确港口连通性及其影响因素的时空差异，基于港口供应链视角，从港口面向内陆、内贸和外贸连通能力构建港口连通性模型，并借助空间计量模型对2002-2017年间中国环渤海港口连通性及其影响因素的时空差异进行测度。结果表明：①除天津、青岛和大连港连通性最强外，内陆、内贸和外贸连通性最强分别为日照、唐山和烟台港，连通性最弱分别为威海、丹东和盘锦港，黄骅港增速最快；②连通性分布具有多核心-边缘特征和多门户港口并存格局；③连通性影响因素具有空间相关性和异质性，但均对连通性有正向促进作用。本文旨在使决策者明确港口运输的连通能力及其影响因素，为港口规划布局和提升在港口供应链中地位提供决策支持。     

现代服务业集聚形成机理空间计量分析

在纳入空间效应前提下,构建现代服务业集聚形成机理空间面板计量模型,对我国28个省域相关数据实证研究表明:我国现代服务业集聚在省域之间有较强的空间依赖性和正的空间溢出效应。技术差异在时间维度上对现代服务业集聚促进作用显著,在空间维度上并不显著;交易费用与现代服务业集聚有显著的负相关性;知识溢出、规模经济、政府行为对现代服务业集聚促进作用显著。     

重庆市人口与经济发展空间耦合分布研究

本文基于2001-2012 年重庆市各个区县的人口和经济数据,计算重庆市各区县的人口地理集中度和经济地理集中度并结合耦合指数,分析人口分布与经济分布耦合特征与人口与经济空间分布类型,并运用Geoda、ArcGIS 软件对重庆各个区县人口与经济的全局和局部空间自相关分析,建立人口与经济发展耦合度模型与耦合协调度模型,分析人口与经济的空间耦合度的特征。研究结果表明：①重庆市的人口与经济整体水平有较好的发展趋势,但区域发展差异明显。②人口集中度和经济集中度总体上呈现“一圈高,两翼低”的特点。③2001-2012 年间重庆市人口与经济耦合度总体呈上升趋势,且人口与经济间的耦合作用不断增强。     

A Micro-Econometric Store Choice Model Incorporating Multi- and Omni-Channel Shopping: The Case of Furniture Retailing in Germany

Online retailing and multi-/omni-channel shopping are gaining in importance. However, there is a significant lack of research focused on incorporating online shopping into models of spatial shopping behavior. The present study aims (1) to construct a store choice model which includes both physical and online stores as well as the opportunity for omni-channel shopping, and (2) to identify the main drivers of spatial shopping behavior given the availability of both channels. Based on a representative survey, this study employs a revealed-preference approach toward store choice and expenditures in furniture retailing. The statistical analysis is performed using a hurdle model approach, with the expenditures of individual consumers at (online or physical) furniture stores serving as the dependent variable. Results show that channel choice (online vs. offline) is mainly influenced by psychographic characteristics, place of residence, and age of the consumers. Store choice and expenditures are primarily explained by store features such as assortment size, omni-channel integration, and accessibility. This study demonstrates that e-shopping can be integrated into a store choice model and that both the modeling approach and the subsequent findings are of significance for retail companies and spatial planning.     

Income Disparity, Time Allocation, and Social Welfare in a System of Cities

The objective of this paper is to examine the formation of specialized cities with multiple types of households in a decentralized system of cities. This is done in a two-sector spatial general-equilibrium model of a closed economy consisting of two groups of labor forces: a continuum of unskilled labor used to produce a food product, and a continuum of skilled labor used in the production of a high-tech product. Cities are formed in this model as a result of investment in public infrastructure. This investment leads to a reduction in commuting cost and consequently to an increase in the time that households can utilize for work and leisure. The paper characterizes the equilibrium solution for a purely specialized system of cities and presents some comparative static results. Moreover, the paper presents an explanation for the variation in city sizes as a result of differences in households' value of time. Finally, the paper analyzes the determinants of income disparity between the two different types of cities and its impacts on social welfare.     

A THEORETICAL EXPOSITION OF MIGRATION ENFORCEMENT ON EXISTING MIGRANT AND DOMESTIC HOUSEHOLDS*

ABSTRACT This paper presents a model with a domestic household and a heterogeneous migrant household in arrival timing. The domestic and documented migrant households divide their one unit of time between lobbying for/against immigration enforcement expenditures and employment. The analysis shows that an increase in public dislike for undocumented workers lowers domestic and existing migrant households private investment in own child education. It also causes average public expenditures on education to fall and leads to a negative impact on the educational outcomes of all households.     

Spatial Point Processes Applied to the Distribution of River Junctions

The notion of randomness has been extensively applied to topological (nondimensional) properties of drainage networks. The spatial (dimensional) organization of five fluvial hierarchies is examined herein through the application of quadrat analysis to random and clustered spatial probability models. The Poisson, Polya-Aeppli, and negative binomial models are compared with point-pattern distributions of river junction location for three basins in Indiana and two fossil systems on an erosion surface in semiarid Australia. The negative binomial model best fits all five networks, suggesting that the branching behavior of fluvial systems follows the mathematical precepts leading to clusteredness of junctions. The degree to which the Polya-Aeppli model fits the data suggests the imposition of a temporally limited set of environmental conditions optimally suited for network growth. Only for the two fossil systems does the Poisson model agree. It is speculated that the effect of prolonged subaerial erosion may be to shift a clustered distribution towards the random state as the surface approaches a pediplained state.     

The Spatial Distribution of the Internet in the European Union: Does Geographical Proximity Matter?

This paper examines the spatial distribution of the Internet in the European regions. To achieve this aim, our analysis combines a set of non-parametric techniques proposed in the context of the economic growth literature, with various spatial econometric instruments. The results reveal that regional disparities in Internet adoption are greater than territorial inequalities in gross domestic product (GDP) per capita. In addition, our findings show that the distribution under consideration is characterized by the presence of positive spatial dependence, which implies that physically adjacent regions register a similar degree of Internet adoption. Finally, the analysis carried out allows us to assess the role played by variables such as GDP per capita, unemployment rate, stock of human capital and population density, in explaining the spatial distribution of the Internet in the European Union.     

流动商贩的分布特征及营业空间界面影响分析——以广州中山大道西路段为例

流动商贩的空间分布有较大的临时性和变化性,但在各种不同因素的影响下,也具有一定的特征性。研究其分布特征和影响因素对从空间上引导该非正规经济的发展具有积极意义,而已有从空间角度出发的非正规经济研究成果较少。本文主要采用实证研究的方法,选取广州中山大道西路段的流动商贩为典型案例,从空间的角度对流动商贩这种非正规经济来进行研究。研究发现,流动商贩的空间分布具有时间、空间和类型构成三个特征。影响其分布特征的空间界面因素包括界面用地性质、权属以及界面空间特征等,揭示流动摊贩空间集聚的根源,为城市的规划管理和建设提供一定参考。     

A Spatial Mixture Model of Innovation Diffusion

The diffusion of new product or technical innovation over space is here modeled as an event‐based process in which the likelihood of the next adopter being in region r is influenced by two factors: (i) the potential interactions of individuals in r with current adopters in neighboring regions, and (ii) all other attributes of individuals in r that may influence their adoption propensity. The first factor is characterized by a logit model reflecting the likelihood of adoption due to spatial contacts with previous adopters, and the second by a logit model reflecting the likelihood of adoption due to other intrinsic effects. The resulting spatial diffusion process is then assumed to be driven by a probabilistic mixture of the two. A number of formal properties of this model are analyzed, including its asymptotic behavior. But the main analytical focus is on statistical estimation of parameters. Here it is shown that standard maximum‐likelihood estimates require large sample sizes to achieve reasonable results. Two estimation approaches are developed which yield more sensible results for small sample sizes. These results are applied to a small data set involving the adoption of a new Internet grocery‐shopping service by consumers in the Philadelphia metropolitan area.