“海丝”背景下福州市县域经济空间格局分析

福州市作为“21世纪海上丝绸之路”核心区建设支点城市获得快速发展，各区县之间的经济联系逐步加深，区域经济格局不断演变。以福州市13个区县作为研究对象，测度“海丝”核心区建设实施前后各区县的经济潜力与经济联系强度，通过分析区域经济格局演变，对福州市在“海丝”背景下的经济发展方向提出建议，为今后加快建成支点城市提供参考。     

河南省传统村落空间分布特征及影响因素研究

[目的]分析河南省传统村落的空间分布特征及其影响因素,以期为中原地区传统村落的建设发展提供指导。[方法]文章通过谷歌地理信息系统及Arc GIS10. 2软件对河南省124个国家级传统村落的空间分布类型、分布格局、分布均衡型及影响因素进行分析,采用最邻近距离法、核密度估计法及地理集中程度等方法揭示其空间分布特征及其形成的影响因素。[结果]最邻近距离法分析R=0. 628,小于1,分布类型为凝聚型。核密度分析中,整体空间分布呈现3个核心区域,平顶山东北区域,豫西北沿省边界呈带状分布及豫南信阳南部,空间分布受地理、经济和文化等因素影响。[结论]河南省传统村落的空间分布属凝聚型不均衡分布。从地级市层面上分析,主要集中在平顶山东部、信阳南部和三门峡地区;从分区层面上,以豫中较多,豫北、豫西和豫南其次,豫东基本空白。形成原因与地理高程、社会经济和历史事件有关。交通不便、经济相对发达或相对落后、历史事件少发的区域,传统村落保存较为完整。     

A Framework for the Simultaneous Measurement of Spatial Variation and Temporal Movement in Prices in a Heterogeneous Country: The Dynamic Household Regional Product Dummy Model

This paper contributes to the growing literature on spatial prices in large heterogeneous countries. While the literatures on spatial variation and temporal movement in prices have grown in parallel, this study marks a departure by providing a unified treatment and proposing a comprehensive framework that allows both approaches. The proposed model is based on twin extensions of the household version of the “country product dummy model” by allowing for a dynamic stochastic specification and interdependence of spatial prices of geographically adjacent regions. Tests of temporal stability and regional independence of the estimated spatial prices are proposed and applied in this paper. The paper shows that the introduction of an autoregressive error process of order one, AR(1), improves the efficiency of the estimates of parameters, urban‐rural and temporal price indices under certain conditions. The Indian application points to a rich potential for using the proposed framework in cross country comparisons such as the International Comparison Program (ICP) exercises.     

Pricing used books on Amazon.com: a spatial approach to price dispersion

This paper estimates a spatial autoregressive (SAR) model of price dispersion using publicly available internet bookselling data. It uses a semiparametric adaptive estimator that does not require the usual Gaussian assumption of maximum likelihood (ML) estimators. The results suggest that both price competition and seller heterogeneity are key drivers of the observed price dispersion. The paper finds that sellers with large sales volume, newly established sellers and US mainland states-based sellers tend to price lower. The identified significant spatial interaction is evidence of spatial price competition. Controlling for everything else, a seller asks a lower price when large sellers charge relatively high prices, which is also evidence of price-based selling and undercutting.     

Understanding the travel motivation and patterns of international students in Korea: using the theory of travel career pattern

This study examined the travel motivation of international students in Korea using the theory of travel career pattern (TCP). In particular, latent profile analysis (LPA) was applied to identify latent classes within international students. Based on the results, four latent profiles were derived and named “Core,” “Longing,” “Middle,” and “Veteran.” The results described the travel motivation and patterns across these four profiles to enhance the understanding of international students in the context of tourism. There were significant differences in travel patterns (i.e. travel companion and information sources) among the profiles segmented by motivation. This study has expanded travel motivation research by (a) applying TCP to an understudied population (i.e. international students in a non-English-speaking country); (b) comparing travel careers between the home country, Korea (i.e. a study abroad destination), and the third countries; and (c) highlighting LPA as a clustering tool to understand travel motivation.     

叶尔羌河平原绿洲土地生态安全预警演变与时空格局分析

[目的]探索叶尔羌河平原绿洲土地生态安全预警问题及其时空格局变化,旨在为叶尔羌河平原绿洲土地生态安全及可持续利用提供科学的参考依据。[方法]文章运用PSR模型构建预警指标体系,采用熵值法测算各指标权重,对2000—2016年叶尔羌河平原绿洲土地生态安全警情格局进行综合分析,并利用GIS技术分析其2000年、2005年、2010年和2016年土地生态安全空间格局变化,最后运用障碍度模型探索其障碍因子。[结果](1)2000—2016年叶尔羌河平原绿洲土地生态安全综合预警指数总体呈上升态势,生态预警状态由"较不安全"转为"临界安全",警度亦由"重警"变为"中警"。(2)从空间格局来看,空间上各县域土地生态安全水平差异明显,研究初期西部地区土地生态安全状态优于东部地区, 2016年呈现出中部高、东北—西南部低的态势。(3)近17年叶尔羌河平原绿洲各县域土地生态环境状况有所改善,安全状态经历了"极不安全—临界安全—较安全"的发展历程。(4)影响土地生态安全的主要障碍因子包括单位面积耕地农药负荷、人口密度、单位面积耕地化肥负荷、土地垦殖率、人口自然增长率和单位面积耕地地膜负荷等。[结论]研究期间叶尔羌河平原绿洲土地生态安全得到明显的提升与改善,并在良好的方向发展。     

Land price diffusion across borders – the case of Germany

ABSTRACT

Land market regulations are often justified by the assumption that activities of foreign and non-agricultural investors drive up prices in domestic land markets. However, empirical knowledge about the dynamics of agricultural land prices across borders is sparse. Using the German reunification as a natural experiment, we study the effect of the former inner German border on the dynamics of agricultural land prices in East and West Germany. We apply a land price diffusion model with an error correction specification to analyse spatial agricultural land markets. A novel feature of our model is its ability to distinguish price diffusion within states and across state borders. We provide evidence for a persistent border effect given that the fraction of spatially integrated counties is larger within states than across the former border. Moreover, we observe non-significant error correction terms for many counties along the former border. From a policy perspective, it is striking to realize that even 25 years after German reunification, pronounced land price differences persist. It is quite likely that price diffusion through existing borders within the EU would take even more time given language barriers, different institutional frameworks, and information asymmetries between domestic and foreign market participants.     

The long breadth of cities: revisiting worldwide urbanization patterns, 1950–2030

ABSTRACT

A comparative analysis of population dynamics worldwide contributes to profile distinctive demographic and economic trajectories of urban growth, discriminating processes of settlement concentration or dispersion under sequential cycles of urbanization. However, a wide-ranging characterization of urban cycles based on demographic dynamics worldwide is still missing. The present work is aimed at filling such a gap analysing long-term changes (1950–2030) in annual population growth rate of 1691 urban agglomerations with more than 300,000 inhabitants in 74 world countries. Results of this study indicate that metropolitan growth worldwide was associated with largely variable rates of population growth, highly positive before 2000 and progressively reducing over recent decades. Despite important differences at continental (and country) scale, demographic expansion of urban agglomerations showed two contrasting phases with a break point in the 1980s denoting a progressive reduction in spatial heterogeneity of population growth rates and a moderate slowdown in demographic dynamics. Intensity of urban expansion and spatial heterogeneity in population growth rates across metropolitan agglomerations evidences a trade-off between fast and slow demographic dynamics. These findings can be better understood to support theories of sequential city growth, making a suitable contribution to policy making, especially in countries where urban population is expanding more rapidly.     

A Stochastic Model with Penalized Coefficients for Spatial Price Comparisons: An Application to Regional Price Indexes in Italy

This paper focuses on a new strand of research that uses stochastic approach for making spatial price comparisons. We propose a novel method to account for the presence of spatial dependencies in consumer prices and consequently in price indexes by imposing penalization conditions on the estimation of traditional CPD models leading to the spatially-penalized country-product-dummy (SP-CPD) model. The paper proposes an appropriate estimation strategy, which enables us to simultaneously estimate all the parameters in the model, including the smoothing parameter of the penalization term instead of determining it externally. In order to estimate spatial price indexes for areas lacking in price data, we suggest applying the kriging methodology to the price indexes obtained from the SP-CPD model. This new approach is applied to official Italian CPI data for constructing regional spatial price indexes for 2014. The results show that price levels are higher in the Northern-Central regions than in the South.     

房价对居民消费的跨空间影响*——基于中国278个城市空间面板数据的实证研究

本文首先基于住房财富效应，构建了房价变动对居民消费的跨空间影响的分析框架。该框架阐释了住房财富效应的区域差异：不同地区间房价的空间传导、居民的异地消费以及消费的示范效应，使得本地房价变动可能引起周边地区居民消费的连锁反应。其后，本文利用中国278个地级市2000—2018年数据，通过空间面板杜宾模型，实证考察了不同地区住房财富效应的差异，以及房价变动对居民消费的跨空间影响。结果显示：（1）虽然中国整体上存在住房财富效应，但西部城市财富效应并不显著，并且核心城市还存在负财富效应。（2）不同城市间房价对消费存在跨区影响。东部城市和核心城市对周边城市消费的正向影响很显著，而边缘城市则对周边城市消费有显著的负向影响。（3）不同城市间的消费也具有空间上的示范效应。最后，本文从房价和居民消费空间联动的视角，为政府扩大内需、调控房地产市场提供了相关政策建议。