DOES AGGLOMERATION MATTER EVERYWHERE?: NEW FIRM LOCATION DECISIONS IN RURAL AND URBAN MARKETS*

We test whether commonly used measures of agglomeration economies encourage new firm entry in both urban and rural markets. Using new firm location decisions in Iowa and North Carolina, we find that measured agglomeration economies increase the probability of new firm entry in both urban and rural areas. Firms are more likely to locate in markets with an existing cluster of firms in the same industry, with greater concentrations of upstream suppliers or downstream customers, and with a larger proportion of college‐educated workers in the local labor supply. Firms are less likely to enter markets with no incumbent firms in the sector or where production is concentrated in relatively few sectors. The same factors encourage both stand‐alone start‐ups and establishments built by multiplant firms. Commuting decisions exhibit the same pattern as new firm entry with workers commuting from low to high agglomeration markets. Because agglomeration economies are important for rural firm entry also, policies encouraging new firm entry should focus on relatively few job centers rather than encouraging new firm entry in every small town.     

TRAFFIC CONGESTION,POLYCENTRICITY, AND INTRAURBAN FIRM LOCATION CHOICES: A NESTED LOGIT MODEL FOR THE LOS ANGELES METROPOLITAN AREA

This study empirically investigates traffic congestion effects on agglomeration through the lens of firm location decisions. A discrete choice model is applied to examine new establishments’ location choices within the Los Angeles metropolitan area. Employment centers are defined as the choice set to explore the nature and role of intraurban agglomerations. The results show that metro‐wide congestion negatively affects the location choices of firms in the high‐order office‐related activities, while local congestion have positive impacts on those firms’ location decisions. In contrast, firms in production‐related activities are positively influenced by regional congestion but are negatively affected by local congestion levels.     

VERTICAL INDUSTRY RELATIONS,SPILLOVERS, AND PRODUCTIVITY: EVIDENCE FROM CHILEAN PLANTS*

ABSTRACT We use disaggregated data on Chilean plants, and the Chilean input–output table to examine the impact of agglomeration spillovers on total factor productivity (TFP). In common with previous studies, we find evidence for intraindustry spillovers, but none for general cross‐industry spillovers. This picture changes when we take vertical industry relations into account. There are important productivity spillovers from plants in upstream industries. Interestingly, a similar effect cannot be found from plants in downstream industries. The number of plants in these sectors has no effect on plant‐level TFP, just as the number of plants in other industries that are neither important upstream suppliers nor downstream customers also has no effect.     

Digital gravity? Firm birth and relocation patterns of young digital firms in Germany

This paper analyses the spatial patterns of young (<10 years) digital firms in Germany between 2008 and 2017 on county level. Determinants of firm birth locations as well as relocations are considered jointly to understand differences in location choices within firms' life cycles. I match commercial register data of 107,321 firms with county-level administrative data to capture local characteristics. Using an OLS model with fixed effects, I find that the local knowledge base—that is, universities, research institutes, and colocated incumbents—are significant key determinants of digital firm birth when controlling for a host of local characteristics. My results indicate that for five firms per 1000 inhabitants, there is around one firm birth. Second, using a fixed effects gravity model for the analysis of relocations, I find that the most dominant explanatory factor for firm relocation across specifications is distance, that is, relocation costs. Relocation flows are more than twice as high to neighboring counties relative to other locations which shows that digital firms are not as footloose as their business model may suggest. Jointly, my results reflect economic activity's regional persistence, particularly for new firms. My paper provides evidence for policies targeting homogenous digital clusters based on strong colocation and that digital economic activity is not shifted over long distances, but the regional entrepreneurship capital is crucial for local growth.     

THE IMPACT OF LOCAL WAGE REGULATION ON EMPLOYMENT: A BORDER ANALYSIS FROM ITALY IN THE 1950s*

This paper measures the impact of wage zones—compulsory wage differentials at the province level—on Italy's local labor markets during the 1950s. Using spatial regression techniques, it finds that for the industrial sectors covered under wage zones there was an increase in employment when one crossed the border from a high‐wage province into a low‐wage one; the effect diminished, however, as the distance from the boundary increased. The paper also illustrates that the impact on the overall (nonfarm) private sector, which includes both covered and uncovered sectors, was negligible.     

Spatial Agglomeration of Manufacturing in Greece: Sectoral Patterns and Determinants

This article aims to demonstrate how the industry characteristics of manufacturing sectors affect the patterns of their spatial agglomeration. It also addresses several intricate issues concerning the measurement of localization economies and estimation of their main determinants in manufacturing industries. The original empirical analysis employs annual industrial data from the Hellenic Statistical Authority (ELSTAT) during the period 1993–2006 in Greece at the prefecture level, i.e. for 51 prefectures. The data processing reveals three important findings. The first is the temporal persistence of localization economies in the Greek manufacturing. The second refers to the high level of agglomeration associated with the high-technology industries as well as the resource- and scale-intensive industries. Lastly, there are significant effects of industry characteristics related to knowledge externalities, labour skills and productivity, scale economies and own-transport expenditure on spatial agglomeration, as resulted from the use of alternative geographic concentration indices and panel data models. Results obtained have implications for policy-makers, who can enhance the regional manufacturing activity by affecting these industry-specific factors. Amongst others, planning measures and policies which aim at promoting the local development and regional convergence should focus on reducing transport costs for firms or sectors, by improving the infrastructure capacity, interconnectivity and quality of services.     

Place‐based policies,firm productivity,and displacement effects: Evidence from Shenzhen,China

Developing and transitional countries devote considerable funds to selected areas to stimulate local growth and firm productivity. We examine the impact of place‐based interventions due to the opening of science parks in Shenzhen, China, on firm productivity and factor use. Our identification strategy, exploiting spatial and temporal differencing in firm‐level data, addresses the issues that (a) the selection of science park locations is not random and (b) high‐productivity firms sort themselves into science parks. Firm productivity is approximately 15–25% higher due to the science park policy. The policy also increases local wages and leads to distortions due to job displacement.     

REGIONAL POPULATION–EMPLOYMENT DYNAMICS ACROSS DIFFERENT SECTORS OF THE ECONOMY*

ABSTRACT An important subset of the literature on agglomeration externalities hypothesizes that intrasectoral and intersectoral relations are endogenously determined in models of local and regional economic growth. Remarkably, structural adjustment models describing the spatio‐temporal dynamics of population and employment levels or growth traditionally do not include intersectoral economic dynamics. This paper argues and shows that allowing for economic linkages across sectors in these models adds considerable value, especially in forecasting. An econometric model of population–employment dynamics, in which sectoral variations in economic development are explicitly taken into account, is applied to a large urban planning policy proposal in the Netherlands. The empirical analyses suggest that population dynamics are largely exogenous, population changes drive employment in particular in the industry and retail sectors, and employment in all sectors depends strongly on intersectoral dynamics. Intersectoral dynamics appear as important drivers of regional sectoral employment changes; they are even more important than population changes, and their effect shows up clearly even within the Dutch institutional context where strict regulatory housing and planning restrictions are enforced.     

中心城区金融服务业空间集聚过程与格局研究——以潍坊市奎文区为例

近年来金融服务业发展成为我国经济与地理领域学者关注的新热点。本文通过GIS空间分析和电信黄页统计模拟,对潍坊市中心城区奎文区金融服务业的集聚现状、空间演变趋势进行了实证研究,重点探讨了金融服务业集聚格局的形成过程及演变机制。结论指出:金融服务业空间高度集聚于中心城区CBD内(单核心),集聚主要受城市等级规模和政策推动的影响;较之非银行业(保险业、证券业和其他金融活动),银行业时空演变规律性更强,但总体都呈现"轴向扩散"、"楼宇主导"态势;演变过程和城市主导发展方向、城市功能转型相契合,空间表现为由非均衡向相对均衡发展的格局过渡。     

FIRM PRODUCTIVITY AND INSTITUTIONAL QUALITY: EVIDENCE FROM ITALIAN INDUSTRY

This paper aims to contribute to the debate on the determinants of differentials in firms’ productivity. We test the hypothesis that macro factors, especially the quality of local institutions, play a central role in explaining firm productivity in Italy. To this end, we construct measures of Total Factor Productivity (TFP) for about 4,000 firms by means of different estimation techniques, and a province‐level index of institutional quality. Then, we estimate the relationship between institutional quality and firm‐level TFP. Our results show that the existence of better local institutions might help firms to become more productive.     

HOW DO SUPPLY CHAIN NETWORKS AFFECT THE RESILIENCE OF FIRMS TO NATURAL DISASTERS? EVIDENCE FROM THE GREAT EAST JAPAN EARTHQUAKE

This paper uses firm‐level data to examine how supply chain networks affected the recovery of firms from the Great East Japan Earthquake. Extensive supply chains can negatively affect recovery through higher vulnerability to network disruption and positively through support from trading partners, easier search for new partners, and general benefits of agglomeration. Our results indicate that networks with firms outside of the impacted area contributed to the earlier resumption of production, whereas networks within the region contributed to sales recovery in the medium term. The results suggest that the positive effects of supply chains typically exceed the negative effects.     

Externalities,Learning and Governance: New Perspectives on Local Economic Development

In spite of growing mobility of production and production factors, economic development is increasingly localized in economic agglomerations. This article reviews three partially overlapping perspectives on local economic development, which derive from three factors intensifying the localized nature of economic development: externalities, learning and governance. Externalities play a central role in the new geographical economics of Krugman and in new economic geography of clusters and industrial districts. The dynamics of local economic development are increasingly associated with evolutionary economic thinking in general and with collective learning in particular. Inter‐firm and extra‐firm organization has experienced considerable innovation in the last few decades. New institutional devices are based on the notions of commodity chain, cluster and milieu. These innovations introduce new issues of economic governance both at the level of industry and of territory.     

From 'industrial districts' to 'knowledge clusters': a model of knowledge dissemination and competitive advantage in industrial agglomerations

This paper integrates knowledge-based theories of the firm withgeograph-ical studies of industrial agglomeration to producea model that helps explain the competitive advantages enjoyedby proximate firms located in geographical clusters. We proposea hierarchy of specialized knowledge stocks at both firm andcluster levels and suggest that the comparative advantage conferredby knowledge resources at each level is protected, in part,by asymmetries in knowledge flows from level to level. The paperargues that codified component knowledge is more easily spreadthan firm-specific architectural knowledge. Nevertheless, overtime, agglomerations may develop a cluster-specific form ofarchitectural knowledge that facilitates the rapid disseminationof knowledge throughout the cluster by increasing the learningcapacity of proximate firms and thereby conferring cluster-specificcompetitive advantages.     

Spatial and environmental impacts on adverse birth outcomes in Ontario

This study assesses the overall spatial variations and neighbourhood‐level “hot spots” of low birth weight and preterm birth incidence within three public health units in Ontario, Canada. The analysis uses a stepwise approach of intra‐class correlation analysis, a spatial scan statistic, and multilevel spatial modeling. Results show that neighbourhood level variation accounts for only 2–3 percent of the total variation of adverse birth outcomes in the study area. However, strong spatial autocorrelation is observed at the neighbourhood level, and spatial clusters of relatively high adverse birth outcome rates exist in areas that are associated with environmental risks, including pollution sources and proximity to highways. Thus, although estimated neighbourhood impacts on adverse birth outcomes are small compared with those of individual‐level risks, local high potential environmental risk areas are identifiable. Environmental surveillance and spatial statistical analysis should be conducted regularly by local health authorities to identify and monitor the impact of environmental changes on health in general and on birth outcomes in particular. Specific community‐oriented health interventions may be required to reduce observed local health impacts.     

TESTING FOR CAUSALITY BETWEEN PRODUCTIVITY AND AGGLOMERATION ECONOMIES

ABSTRACT The productivity effects of agglomeration economies are often treated as endogenous in empirical work due to the potential for reverse causality. The extent to which these relationships are actually simultaneously determined, however, remains largely unobserved. This paper estimates panel data vector autoregressions for different sectors of the economy to test for bidirectional causality between productivity and both localization and urbanization economies. The aim is to address some key questions that will help to identify the extent of the endogeneity problem. Can we actually observe bidirectionality in the data? Does it feature more for some industries than for others? Is it more prevalent for localization or urbanization economies? The results show that agglomeration economies are not strictly unidirectional and that higher levels of productivity can induce growth in the scale of local urban and industrial environments. The paper discusses the difficulties that these issues pose for the estimation of agglomeration economies.     

LABOUR MOBILITY AND PLANT PERFORMANCE: ON THE (DIS)SIMILARITY BETWEEN LABOUR‐ AND CAPITAL‐INTENSIVE SECTORS FOR KNOWLEDGE DIFFUSION AND PRODUCTIVITY

In this article we analyse differences between capital‐ and labour‐intensive sectors with regard to the impact of workforce composition and labour mobility on plant performance. By the use of geo‐referenced longitudinal employer–employee data on a micro level, we analyse labour flows between plants within and between labour market regions. The analysis is carried out using weighted least squares (WLS) regression analysis combined with additional variance analysis (ANOVA). The results show that there are differences between the sectors with regard to both in‐house workforce composition and type of skill inflow. A high degree of related knowledge in the in‐house workforce has a strong positive effect on plant performance in the labour‐intensive sectors. The analysis of labour inflow indicates that knowledge in the capital‐intensive sectors is localized – only intra‐regional labour flows give rise to increased plant productivity. In the labour‐intensive sectors, the geographic and cognitive dimensions complement one another; similar knowledge needs to be non‐local in order to be beneficial to plant performance, and unrelated knowledge mainly contributes to plant productivity growth when it is local.     

ANTIAGGLOMERATION SUBSIDIES WITH HETEROGENEOUS FIRMS*

ABSTRACT This paper studies antiagglomeration subsidies in a core–periphery setting when firms are heterogeneous in labor productivity, focusing on the effects of a relocation subsidy on firm location in various tax‐financing schemes (local vs. global). I discuss how a subsidy can enhance welfare and average productivity in the periphery. As a result, I find that a subsidy proportional to profits can induce the relocation of high‐productivity firms and thus increase welfare and average productivity in the periphery. Concerning tax‐financing schemes, a local tax‐financing scheme has an optimal level of subsidy.     

DISENTANGLING AGGLOMERATION ECONOMIES: AGENTS,SOURCES, AND SPATIAL DEPENDENCE*

ABSTRACT This paper expands the literature on agglomeration economies in three ways. It disentangles amenity and productivity effects of agglomeration; it decomposes aggregate scale effects into agglomeration factors of interest to policy makers; and it estimates own effects and spillovers to neighbors. It proposes a spatial simultaneous equations model in a spatial equilibrium framework with three agents—workers, consumers, and producers of traded‐goods and housing. Results for Ohio counties estimate economies resulting from population size, agglomeration causes, and public service quality and cost on each of the three agents in own and neighboring counties.     

京津冀地区城市间行业工资差异及影响因素分析

基于2005-2012年京津冀各城市工资及其它社会经济数据,探讨了市场潜能、产业集聚、人力资本、制度改革等因素对城市间各行业工资差异的影响。结果表明：①市场潜能对各行业工资水平的增长均有一定的促进作用。②除消费性服务业外,各类产业集聚对地区平均工资水平的提高均有一定的促进作用,但制造业集聚带来的拥挤效应也已开始体现;生产性服务业集聚能够带动公共性服务业工资的提升,而公共性服务业缺乏对生产性服务业的反哺;产业集聚对消费性服务业工资缺乏带动作用。③在控制变量方面,交通基础设施对工资水平的带动作用逐渐弱化;科技投入、人力资本对服务业工资水平的带动作用较高,而对制造业影响较弱;市场经济体制改革对工资水平的带动作用仍未体现;政府市场干预能力的提高仅带动了公共性服务业工资的提升,而外向度的提升则仅对公共性服务业缺乏带动作用。     

Staying Power: What Influences Micro-firm Survival in Tourism?

Abstract

The purpose of this paper is to investigate how previous experience and location of entrepreneurs influence the survival of new tourism firms. The paper departs from recent evolutionary economic geography advancements, highlighting the importance of routines and skills as well as location-specific knowledge for firm success. While having been well-researched for manufacturing industries characterized by high entry barriers, little knowledge is currently available on the factors influencing survival rates in service sectors with low entry barriers. A quantitative approach applies hazard models to investigate the survival rates over a seven-year period of a total of 133 new micro-tourism firms started between 1999 and 2001 in the four northernmost counties of Sweden. The geo-referenced micro-database ASTRID links information on firm features (e.g. firm births and deaths, spatial coordinates and industry codes) to characteristics of entrepreneurs (e.g. age, education, previous experience). The main finding is that entrepreneurs with previous work experience in related sectors are more likely to survive and, in this case, entrepreneurs without local experience tend to be less successful. We find no evidence that new firms operating in regions specialized in tourism have a survival advantage. Our analysis also indicates that surviving firms improve performance over time. The paper thus contributes new knowledge on the determinants of micro-firm survival in tourism.