Book Reviews

Books reviewed:
M. Steiner (ed.), Clusters and Regional Specialisation. On Geography,Technology, and Networks
Denis J.B. Shaw, Russia in the Modern World. A New Geography
Ron Martin, Money and the Space Economy     

BEYOND THE GPN–NEW REGIONALISM DIVIDE IN CHINA: RESTRUCTURING THE CLOTHING INDUSTRY,REMAKING THE WENZHOU MODEL

This article attempts to advance the research on industrial districts and regional development through a study of the restructuring of the clothing industry in Wenzhou Municipality, a regional driver of the Chinese economy. Wenzhou is known for the Wenzhou model of development traditionally centred on family‐owned small businesses embedded in local institutions. The clothing industry is one of the leading industries in Wenzhou, and a cluster with national significance has emerged, where most of the production components can be purchased locally. However, the industry has been scaled up nationally and internationally, with the expansion of sales networks and production facilities across China, and to a lesser extent, abroad. This restructuring has changed the endogenous nature of industrial clusters/districts. The restructuring challenges the orthodox notion of the Wenzhou model and the New Regionalism literature, particularly the orthodox notion of Marshallian industrial districts that overly emphasizes small firms and local assets, and the global production network perspective that highlights coupling with global lead firms in regional development.     

青海古代文化遗址时空分布特征

本文对青海古代各历史时期的文化遗址及文物进行了分析与探讨,提出了青海古代文化遗址有着分布的集中性、石器时代的完整性以及多元结构的民族文化特点;论证了以上特点是由地理环境及历史的各民族文化活动所致。     

我国沿海港口港城关系协同发展与驱动机制研究

近年来,随着我国港口资源整合、港区功能调整和港口城市的转型升级,沿海港口与所在城市的关系发展面临新的变化和挑战。本文以我国沿海港口为例,结合定量分析与定性讨论,聚焦我国沿海港口港城关系问题,剖析港城关系的演变及驱动机制。研究发现：我国大部分沿海港口已进入极度协调发展阶段,但发展趋势逐渐放缓,区域分化特征显著,港城协同度差距呈现再扩大的发展趋势。在研究期间,我国城市驱动型港口城市数量显著增加,港口驱动型和港城互驱型港口城市数量减少。建议通过政府政策引导、港产城融合发展和港口转型升级等方式,不断提升我国沿海地区港城关系整体协调发展水平,为新时期我国沿海港口与所在城市的高质量发展提供重要支撑。     

Topic Modeling and Text Analysis for Qualitative Policy Research

This paper contributes to a critical methodological discussion that has direct ramifications for policy studies: how computational methods can be concretely incorporated into existing processes of textual analysis and interpretation without compromising scientific integrity. We focus on the computational method of topic modeling and investigate how it interacts with two larger families of qualitative methods: content and classification methods characterized by interest in words as communication units and discourse and representation methods characterized by interest in the meaning of communicative acts. Based on analysis of recent academic publications that have used topic modeling for textual analysis, our findings show that different mixed‐method research designs are appropriate when combining topic modeling with the two groups of methods. Our main concluding argument is that topic modeling enables scholars to apply policy theories and concepts to much larger sets of data. That said, the use of computational methods requires genuine understanding of these techniques to obtain substantially meaningful results. We encourage policy scholars to reflect carefully on methodological issues, and offer a simple heuristic to help identify and address critical points when designing a study using topic modeling.     

乡村振兴背景下农村基本公共服务与多维贫困的时空耦合特征研究

村级尺度上探索农村基本公共服务与区域贫困之间的关联特征以及二者耦合作用机理,是实现精准扶贫与乡村振兴战略有机结合的重要一环。本文分别建立农村基本公共服务和多维贫困综合发展监测模型,结合时空探索性分析和耦合协调分析方法,综合揭示两者的时空发展分布特征及其耦合关联关系。2015—2018年研究区内58个行政村的实证结果表明：①研究区内农村基本公共服务的发展呈中段高、南北段低的空间非均衡性分布,整体发展差异呈缩小趋势;②研究区内贫困村的多维贫困状况在空间分布上呈现出中北段地区贫困程度较轻、南段贫困程度较深的格局;③农村基本公共服务与多维贫困存在空间负相关性关联与明显耦合,且自实施乡村振兴战略以来,贫困村多转为同步型发展。研究结果可为现阶段乡村振兴战略的实施提供科学的决策依据和参考。     

Exploring the associations between cooling centre accessibility and marginalization in Montreal,Toronto, and Vancouver,Canada

Cooling centres provide respite, safety, and social support during extreme heat events for populations that do not have the resources to own or operate in-home air conditioning. The objective of this study was to measure the spatial accessibility of cooling centres and analyze the associations between cooling centre access and marginalization in Montreal, Toronto, and Vancouver, Canada. The potential spatial accessibility of cooling centres within a 15-minute walk was measured at the dissemination area scale using the two-step floating catchment area method. A two-stage modelling approach was used to analyze the associations between cooling centre access and marginalization. Approximately 62%, 58%, and 54% of the populations in Montreal, Toronto, and Vancouver had access to at least one cooling centre. In Montreal and Vancouver, high marginalization areas were more likely to have cooling centre access than low marginalization areas. Of the areas with cooling centre access, smaller access scores were observed in areas with high residential instability. Approximately one-fifth of the areas in each city had no cooling centre access and high marginalization, and may be considered for future cooling centres or programs that improve accessibility to existing centres.     

The ripple effects of large-scale transport infrastructure investment

We analyze the general equilibrium effects of an asymmetric decrease in transport costs, combining a large-scale spatial dynamic general equilibrium model for 267 European NUTS-2 regions with a detailed transport model at the level of individual road segments. As a case study, we consider the impact of the road infrastructure investments in Central and Eastern Europe of the European Cohesion Policy. Our analysis suggests that the decrease in transportation costs benefits the targeted regions via substantial increases in gross domestic product (GDP) and welfare compared to the baseline, and a small increase in population. The geographic information embedded in the transport model leads to relatively large predicted benefits in peripheral countries such as Greece and Finland, which hardly receive funds, but whose trade links cross Central and Eastern Europe, generating profit from the investments there. The richer, Western European nontargeted regions also enjoy a higher GDP after the investment in the East, but these effects are smaller. Thus, the policy reduces interregional disparities. There are rippled patterns in the predicted policy spillovers. In nontargeted countries, regions trading more intensely with regions where the investment is taking place on average benefit more compared to other regions within the same country, but also compared to neighboring regions across an international border. We uncover that regions importing goods from Central and Eastern Europe enjoy the largest spillovers. These regions become more competitive and expand exports, to the detriment of other regions in the same country.     

AGGREGATION ERROR EFFECTS ON THE DISCRETE-SPACE p-MEDIAN MODEL: THE CASE OF EDMONTON, CANADA

The spatial analysis literature recognizes three sources of aggregation error, termed Source A, Source B, and Source C, which affect models relying on distance measurements between populations and facilities. We consider these effects with respect to aggregating from census enumeration areas to census tracts, on a popular location model. We identify a further source of aggregation error, which we dub Source D error, arising from the representation of facility sites by discrete points. Source D effects are of the same magnitude as Source A and B combined, much greater than Source C effects. Source D error is further significant, because, unlike Source A and B error, it can be eliminated only by disaggregating .
La littérature sur Vanalyse spatiale reconnaît trois sources d'erreur d'agrégation appelées erreurs de source A, B, et C. Ces erreurs influencent les modèles qui reposent sur des mesures de distance entre des populations et des installations. On considère les effets d'agrégation des secteurs de dénombrement en secteurs de recensement sur un modèle de localisation courant. On identifie une quatrième source d'erreur d'agrégation appelée erreur de source D. Cette erreur découle de la représentation des sites des installations par des points discrets. Ses effets sont du même ordre de grandeur que ceux des sources A et B combinées et beaucoup plus grands que les effets de source G. L'erreur de source D est d'autant plus significative à cause du fait que, contrairement aux erreurs de source A et B, elle ne peut être éliminée que par la désagrégation .     

SPATIAL DEPENDENCY OF SEGREGATION INDICES

A few researchers have mentioned the scale sensitivity of segregation index, D. In this paper, I discuss analytically and empirically why using large enumeration areal units usually results in low segregation measures, and using small areal units produces relatively high segregation measures. The discussion is also applicable to the multi-group variant of D. A major finding is that if people of the same ethnic groups are positively spatially auto-correlated, increasing the size of areal units of analysis may not lower D initially, because only people of the same group are added. But enlarging the areal units subsequently may include population of other ethnic groups, and therefore could lower D. However, if the boundaries of the larger enumeration units are drawn to include only population of the same group, then D will not change significantly. Both the spatial autocorrelation of ethnic group population and zonal pattern are critical factors in determining the scale sensitivity of D.