Spatial Agglomeration,Technological Innovations,and Firm Productivity: Evidence from Italian Industrial Districts

ABSTRACT The aim of this paper is to analyse the impact on firms' productivity of innovative activities and agglomeration effects among firms belonging to Marshallian industrial districts and the possible joint effect of these two forces. We study a sample of 2,821 firms active in the Italian manufacturing industry in the period 1992–1995. Our analysis uses an original data set based on three different Istituto Nazionale di Statistica statistical sources—Community Innovation Survey, Archivio Statistico delle Imprese Attive (Italian Business Register), and Sistema dei Conti delle Imprese (Italian Structural Business Statistics)—to estimate an “augmented” Cobb‐Douglas production function to account for the impact of technological innovations and district‐specific agglomeration effects on a firm's productivity growth. Our data set allows us to distinguish between product and process innovations, thus, through econometric analysis, we hope to achieve a better understanding of which of these two types of innovative activities benefits most from participation in an industrial district. Our empirical results show that belonging to an industrial district and making product innovations are key factors in the productivity growth of firms and that product innovations appear to have a greater effect on the economic performance of district rather than non‐district firms.     

Heterogeneity in the local employment multipliers in the United States

Recent studies have found evidence of a local employment multiplier’s effect. For the most part, these studies provide an average estimate for all labor markets. In this paper, we examine how the average local employment multiplier, the effect of an exogenous increase in employment in the tradable sector on total employment, depends on the characteristics of the local labor market. Specifically, we estimate the average multipliers for coastal, noncoastal, large, and small metropolitan statistical areas (MSAs) across different time periods using the data of 333 US MSAs. Overall, we find a reduced form of local employment multiplier ranging from 1.38 to 2.24, which is within the range of typically estimated local employment multipliers. In addition, the characteristics of the local labor market matter. The local multipliers appear larger in noncoastal and large MSAs. For small and coastal metros, the multiplier is closer to 1.5 than to 2.0 while in the case of large and noncoastal metros, it is closer to 2.0 than to 1.5. The local multipliers are also sensitive to the time period considered.     

Fertility divergence across large and small areas

This paper examines U.S. female fertility during 2005–2019. Small areas had higher fertility rates than large metropolitan statistical areas (MSAs) during each year. Both experienced fertility declines between 2005 and 2019. However, decreased fertility was more pronounced for large MSAs, and the fertility gap between large and small areas widened considerably. Investigation by age group reveals that diverging fertility across large and small areas is driven by women ages 25–34. We also use multivariate regression analysis for ages 25–34 to consider relationships between individual-level and area-level characteristics and spatial divergence in fertility. Employment patterns, foreign-born status, and local housing costs are notable factors.     

Change in the Concentration of Employment in Computer Services: Spatial Estimation at the U.S. Metro County Level

ABSTRACT This article models the concentration of computer services activity across the U.S. with factors that incorporate spatial relationships. Specifically, we enhance the standard home‐area study with an analysis that allows conditions in neighboring counties to affect the concentration of employment in the home county. We use county‐level data for metropolitan areas between 1990 and 1997. To measure change in employment concentration, we use the change in location quotients for SIC 737, which captures employment concentration changes caused by both the number of firms and the scale of their activity relative to the national average. After controlling for local demand for computer services, our results support the importance of the presence of a qualified labor supply, interindustry linkages, proximity to a major airport, and spatial processes in explaining changes in computer services employment concentration, finding little support for the influence of cost factors. Our enhanced model reveals interjurisdictional relationships among these metro counties that could not be captured with standard estimates by state, metropolitan statistical area (MSA), or county. Using counties within MSAs, therefore, provides more general results than case studies but still allows measurement of local interactions.     

Do rural migrants benefit from labor market agglomeration economies? Evidence from Chinese cities

We combine the 2005 China Inter-Census Population Survey data and the 2004 China Manufacturing Census to test whether workers, particularly rural migrants, benefit from labor market Marshallian externalities. We find that workers in general, and rural migrants in particular, benefit from labor market pooling effects (measured by total employment in a city-industry cell) and human capital externalities (measured by share of workers with a college degree or above in a city-industry cell). These findings are robust to various sorting bias tests. However, rural migrants benefit much less than do local or urban workers, possibly because rural migrants lack social networks and are discriminated doubly in terms of being both “rural” and “migrants.” Our findings have policy implications on how Chinese cities can become skilled during the rapid urbanization process coupled with global competition.     

Research and development intensive clusters and regional competitiveness

Modern cluster theory provides reasons for positive external effects that accrue from the interaction of spatially proximate firms operating in common and related fields of economic activity. In this paper, we examine the impact of R&D-intensive clusters as a key factor of regional competitiveness on productivity growth. In relying on a hybrid approach of cluster identification, we examine effects of cluster specialization and diversity for a panel of German NUTS-3 regions in 2003–2019. After controlling for regional characteristics and unobserved heterogeneity, a robust cluster strength effect (i.e., specialization) on productivity growth is found within the context of conditional convergence across German regions. With regard to the underlying mechanisms, we find that the presence of multiple R&D-intensive clusters in specific technological fields is most strongly linked to higher levels of regional productivity growth. We also find that advantages from cluster specialization are strongest in key industrial sector such as automobile production, machinery, chemical and pharmaceutical products. Overall, our estimates particularly highlight the working of Marshallian externalities in productivity dynamics, while Jacobs-type spillovers tend to be partially realized. These findings indicate that some but not all cluster-based regional development strategies are promising policy tools to foster regional growth processes.     

The heterogeneity of agglomeration effect: Evidence from Chinese cities

Using annual surveys of industrial firms in China from 1998 to 2007, this paper applies the non‐linear least squares (NLS) method based on a grid search to analyse the effect of city size on firm total factor productivity (TFP). The results show that overall, the agglomeration effects in large cities, but not selection effects, significantly promote improvement in firm TFP. The optimal agglomeration scales of different industries differ as follows: those of capital‐ and technology‐intensive industries are larger than those of labour‐intensive industries. The agglomeration effects are also robust to different spatial areas without considering administrative boundaries. An inverted U‐shaped relationship exists between firm size and agglomeration effects, while the relationship between firm age and agglomeration effects is U‐shaped. State‐owned firms experience weaker agglomeration effects than non‐state‐owned firms. Cities higher in the administrative hierarchy and those with special economic zones have stronger agglomeration effects. However, cities higher in the administrative hierarchy and those with a larger economic development zone index can provide more resources to increase the survival rate of low‐productivity firms; thus, selection effects are not significant in Chinese cities.     

State Characteristics and the Locational Choice of Foreign Direct Investment: Evidence from Regional FDI in Mexico 1989–2006

ABSTRACT Despite the growing importance of foreign direct investment (FDI) in the Mexican economy, statistical evidence on the determinants of the regional distribution of foreign‐owned firms is seriously limited. In this paper, empirical findings are presented from a variety of econometric models that identify several regional characteristics influencing the locational choice of FDI. The main findings are threefold. First, several locational factors appear to be potentially important; these include regional demand, wages, schooling, infrastructure, and agglomeration economies. Second, the effect of agglomeration economies stems from several sources. In particular, the regional presence of agglomerations of manufacturing activity and of foreign‐owned manufacturing firms both have an independent positive effect on the locational decision of new FDI. Third, the locational process of maquiladora firms differs from the locational process of overall FDI. The actual findings suggest that regional demand and infrastructure, as suggested above, are not important locational factors for export‐oriented firms. Furthermore, whereas agglomeration economies from manufacturing and the presence of existing FDI attract new maquiladora investment, the presence of a regional agglomeration of services deters the location of new maquiladora firms. Finally, agglomeration economies appear to be more important in the locational process of maquiladora firms.     

High‐Growth Firms in the Southern U.S.: Where is the Growth?

Policymakers across the Southern U.S. have directed considerable attention to regional economic development plans, with mixed results. Questions remain over what types of industries, firms, and/or policies can drive long‐range growth. Over the past two decades, researchers have started to focus on high‐growth firms (HGFs) due to their potential innovation spillovers and job creation prospects, both of which drive further economic development. Employing databases from the Inc. 500, this study explores the dynamics of HGFs within Southern and comparative contexts. The first goal of this paper is to explore Southern HGF activity in comparison with the U.S. at‐large. The second is to examine the geographical characteristics of HGFs within the South, which will include an exploration of locations, industrial mix, and the factors that could encourage HGF development and agglomeration. This paper will also analyze the longer‐term ownership and acquisition patterns of HGFs across the South. Are such firms remaining embedded in the South or moving elsewhere through mergers or acquisitions? The paper concludes with a discussion of the impacts of HGFs on regional economic development and moreover, whether existing policies are conducive to these firms.     

Agglomeration and firm performance in times of economic turmoil: Evidence from Tunisian firm-level data

The paper analyzes the relationship between agglomeration economies (urbanization, specialization, and diversity) and firm-level performance during a period of deep economic downturn (2011–2018). We use data from the National Survey of Economic Activities for eight Tunisian manufacturing industries to explore which agglomeration externalities matter most for firm performance after the revolution. The analysis considers, in addition, the role played by selected firm-specific characteristics. The empirical results, based on a multilevel analysis approach, sanction the importance of firm-specific determinants of productivity and exporting. They also indicate that only specialization externalities have a positive and significant effect on firms' performance. The replicate results during a period of economic stability (1998–2004) show, however, that specialization and urbanization economies are both relevant predictors of firms' productivity and that more productive firms, in particular the smaller ones, are better able to benefit from agglomeration. This finding has not been confirmed for the post-revolutionary period.     

Accessibility,Diversity, Environmental Quality and the Dynamics of Intra‐Urban Population and Employment Location

This paper investigates intra‐urban population and employment shifts over 1980–2000, using the Cincinnati Metropolitan Area as a case study. Population and employment are disaggregated by ethnicity (White, Black, Others) and industry (10 sectors) to better capture different location behaviors. Inter‐industry relationships are considered when constructing accessibility variables. Additional diversity, locational and socio‐economic variables are included. A location‐specific index of air quality is also considered, as a proxy for environmental quality. A structural equation model is specified to account for the dynamic interactions between populations, activities, and air quality. The results reveal strong interactions between ethnic groups, confirm the existence of agglomeration effects, and suggest that diversity has positive effects on both firms and households in both periods (1980–1990 and 1990–2000). For firms, better access to their potential customers and employees is more important than better access to their input–output sectors. Better air quality attracts population, which in turn worsens it. The results reveal changing dynamics, from 1980–1990 to 1990–2000, for different population and activity groups, and suggest that overall, firm location behaviors are more stable than household behaviors.     

Differences in Labor versus Value Chain Industry Clusters: An Empirical Investigation

ABSTRACT Regional analysts often identify industry clusters according to a single dimension of industrial interdependence, typically by trading patterns as revealed in national or regionalized input–output data. This is despite the fact that the theory underpinning regional industry cluster applications draws heavily on Marshall's theory of external economies, including the important role of labor pooling economies and knowledge spillovers in addition to spatially co‐located suppliers. This article investigates whether industry clusters identified based on trading relationships (value chain clusters) are meaningfully different in industrial composition and geography than those derived from an analysis of occupational employment requirements (labor‐based clusters). The results suggest that value chain linkages are a weak proxy for shared labor requirements, and vice versa.     

Firm employment growth in China: The role of marketization and regional economic factors

Very heterogeneous patterns of firm employment growth characterize the Chinese provinces, suggesting the existence of a relationship between these and regional factors. This empirical work explores this topic by providing novel evidence of the role played by regional institutional and regional factors in firm employment growth in China during the decade 1998–2007, an important period in the Chinese transition towards a market economy. The results show that controlling for the internal determinants of firm performance, the firms located in provinces converging faster towards a market economy, exhibiting relatively better patterns (in terms of agglomeration, endowment of human capital, innovation and environmental protection) tend to expand their employment relatively more. These findings confirm the existence of a macro–micro-connection as to what firm heterogeneity is concerned, as they reveal a differential growth channel along the regional dimension. In particular, local progress in government–market relationships appears as the most relevant dimension of marketization process. Given the regionally decentralized institutional system in China and considering its process of transformation, these findings inform local authorities concerned with the promotion of regional employment.     

Vacancy Dynamics and Labor Market Efficiency in the Dutch Labor Market

ABSTRACT This paper focuses on cyclical and regional variations in vacancy dynamics in labor markets with persistent imbalances between demand and supply. In particular the so-called matching approach is used to investigate labor market efficiency across regions and over the business cycle. In this matching approach the relationship between the flow of filled vacancies and regional stocks of unemployed job seekers and vacant jobs is specified in a “search production” function. The matching approach is applied to the Dutch labor market, which is characterized by strong disequilibria and persistent regional differences in unemployment and vacancy rates. To explore the development of these regional imbalances from a demand side perspective, the dynamic structure of regional data on vacancies is analyzed over the business cycle. The movements of vacancy duration and the change in the vacancy stock over time appear to be similar across Dutch regions. Moreover, an investigation of the structural causes of regional variations in vacancy duration via shift-share analysis makes clear that regional differences in sectoral composition of unfilled vacancies do not contribute to regional differences in vacancy duration in the period 1989–93. Estimation results of a matching model reveal that there are no region-specific differences in labor market efficiency to produce filled vacancies. The ratio of vacancies to unemployment appears to be the critical determinant of the matching process in the Dutch regions. Another general (non region-specific) finding is that the estimated labor market efficiency increases during recessionary and recovery periods while it decreases during an economic boom.     

The Impact of Geographical Proximity on Vertical Integration through Specific Assets: The Case of the Spanish Meat Industry

The aim of this paper is to evaluate the role that agglomeration may have on vertical boundaries in exchanges associated with high transaction costs. Transaction cost economics identifies the presence of specific assets in stages of the value chain as the main driver of vertical integration. However, under the trustworthy and shared social milieu that agglomerated spaces may confer, neighboring firms can enjoy lower opportunism risk and communication costs. Therefore, we assume that even in the presence of specific assets, physically proximate firms are more likely to remain specialized and establish market exchanges. Empirical evidence in 10,186 establishments from the Spanish meat industry confirms these hypotheses, although it is found that the moderating role of agglomeration in the relationship between asset specificity and vertical integration has a limited geographical reach.     

The geography of the wages: Chinese cities 1989 and 1997

Improving national average income and reducing regional income inequality often serve as dual goals of economic development in a country. After over twenty years of economic reforms, China has been fairly successful in achieving the first goal, but failed in the second. This paper uses recent data with a sharper resolution to examine the variation of average wages across Chinese cities 1989–1997. Widening wage inequalities across cities are observed during the period. This research also seeks to explain the variation of wages between cities by factors such as agglomeration (density and city size), location advantages (distances from central cities and from the coastline), educational attainment, industrial structure and administrative hierarchy. Many of the factors are found to be important in explaining wage differences in Western countries but are yet to be tested in China. Some factors such as distance from the coast, industrial structure and administrative hierarchy are considered because of China’s unique social and economic systems.     

Real Wages and Unemployment in Local Labor Markets: Pennsylvania MSAs, 1975-86

This paper specifies an unemployment rate model with relatively long lags on the manufacturing real wage and the level of real GNP as the independent variables. Estimates of the model for 12 MSAs in Pennsylvania over the period from 1975:2 to 1986:4 generally indicate a fairly strong positive unemployment response to lagged real wages. This is consistent with theoretical models of the labor market that hypothesize strong real wage effects during periods of aggregate supply shocks. The unique characteristics of the time period under study and the disaggregation to local labor markets might account for the fact that, in contrast to many previous empirical studies, we are able to uncover evidence of a positive real wage-unemployment relationship in U.S. time series data.     

Do Geographic Concentration and Vertically Related Variety Foster Firm Productivity? Micro‐Evidence from Italy

Using a large unbalanced panel dataset of more than 12,000 Italian manufacturing firms for the period 1999–2007, this paper investigates the role of geographic concentration and related variety on firms' total factor productivity (TFP). The main idea is that diversification—captured by a measure of vertically related variety—promotes firm innovativeness and, consequently, productivity, but when the technology has been consolidated, firms join specialized clusters that enhance efficiency. Our results suggest that the effect on firms' TFP of geographic concentration is stronger than that of related variety. We also confirm previous findings on the relevance of agglomeration forces for small firms compared with medium and large firms, where these agglomerative forces do not seem to influence TFP.     

Human capital agglomeration,institutional barriers,and internal migration in China

This paper investigates how human capital agglomeration interplays with institutional factors to affect migration destination choice in China. Over the last decades, China has experienced massive internal migration, substantial human capital investment, and the relaxation of its hukou system, thus providing us with a valuable opportunity to examine the role of human capital externality in migration choice. Based on rich data on province-to-province migration flows for different education and hukou groups, we find that migrants in China, especially highly educated and urban-to-urban migrants, have a strong preference to move to provinces with a high agglomeration of human capital. Further examination reveals that low-skilled migrants in China are less likely to benefit from human capital agglomeration because of their lower ability to overcome hukou restrictions. Our findings raise the concern that labor migration under the skill-biased hukou system would enlarge China's regional disparities in human capital and economic development.