Firm-level productivity growth returns of social capital: Evidence from Western Europe

We analyze the firm-level labor productivity growth returns of social capital—defined as a synthetic measure of “generalized trust,” “active participation,” and “social norms”—using a large sample of manufacturing firms in France, Germany, Italy, Portugal, and Spain. We find that firms' labor productivity growth is higher in areas with a better social capital endowment. The positive returns of social capital are, nevertheless, unevenly distributed across firms, with smaller, less productive, less capital-endowed, and low-tech firms benefitting the most from operating in strong social capital ecosystems.     

Are the most productive regions necessarily the most successful? Local effects of productivity growth on employment and earnings

Economists typically celebrate productivity growth as the chief way to improve living standards. Productivity growth may reduce costs, improve quality, or lead to innovation and new products, but if demand is insufficiently elastic, productivity growth can lead to weakening of labor markets. We study county‐level effects of productivity growth and productivity levels on growth in employment, income, and earnings. The results suggest that productivity growth generally suppresses job growth but has boosting effects on earnings and, to a lesser degree, on per‐capita income, although there is considerable variation across geographies and specific outcomes.     

Growth and Convergence Profiles in the Spanish Provinces (1965–1997)*

Abstract. Economic performance in Spanish provinces has led to a considerable improvement in standard of living of their populations. Intense capital accumulation since the 1950s played a key roll in this process. Provincial inequalities may increase or decrease as a result of this growth pattern. This study analyzes the evolution of the disparities by means of distribution dynamics techniques. It explicitly considers economic size of each province and whether spatial spillovers exist. Results indicate that the convergence process has been especially intense for labor productivity, total factor productivity, and capital intensity, while for per capita income the patterns of convergence are less marked. When we weight our analysis according to economic size of each province, our conclusions do not hold. However, when we take geographic location into account, we find support for our conclusions.     

PRODUCTIVITY AND THE DENSITY OF HUMAN CAPITAL*

ABSTRACT We estimate a model of urban productivity in which the agglomeration effect of density is enhanced by a metropolitan area's stock of human capital. Estimation accounts for potential biases due to the endogeneity of density and industrial composition effects. Using new information on output per worker for U.S. metropolitan areas along with a measure of density that accounts for the spatial distribution of population, we find that a doubling of density increases productivity by 2–4 percent. Consistent with theories of learning and knowledge spillovers in cities, we demonstrate that the elasticity of average labor productivity with respect to density increases with human capital. Metropolitan areas with a human capital stock one standard deviation below the mean realize no productivity gain, while doubling density in metropolitan areas with a human capital stock one standard deviation above the mean yields productivity benefits that are about twice the average. These patterns are particularly pronounced in industries where the exchange of information and sharing of ideas are important parts of the production process.     

Knowledge Spillovers and Total Factor Productivity: Evidence Using a Spatial Panel Data Model

This article investigates the impact of knowledge capital stocks on total factor productivity (TFP) through the lens of the knowledge capital model proposed by Griliches (1979) , augmented with a spatially discounted cross-region knowledge spillover pool variable. The objective is to shift attention from firms and industries to regions and to estimate the impact of cross-region knowledge spillovers on TFP in Europe. The dependent variable is the region-level TFP, measured in terms of the superlative TFP index suggested by Caves, Christensen, and Diewert (1982) . This index describes how efficiently each region transforms physical capital and labor into output. The explanatory variables are internal and out-of-region stocks of knowledge, the latter capturing the contribution of cross-region knowledge spillovers. We construct patent stocks to proxy annual regional knowledge capital stocks for N =203 regions during 1997–2002. In estimating the effects, we implement a spatial panel data model that controls for spatial autocorrelation as well as individual heterogeneity across regions. The findings provide a fairly remarkable confirmation of the role of knowledge capital contributing to productivity differences among regions and add an important spatial dimension to discussions in the literature by showing that productivity effects of knowledge spillovers increase with geographic proximity.     

REGIONAL LABOR PRODUCTIVITY IN THE NETHERLANDS: EVIDENCE OF AGGLOMERATION AND CONGESTION EFFECTS*

ABSTRACT This paper studies the impact of localization, urbanization, and diversification on regional labor productivity levels and growth. We find substantial effects, accounting for roughly half of the explained variation in the labor productivity differences within the Netherlands in the 1990s. Diversification, urbanization, and localization effects are significant and positive for productivity levels. These levels appear cointegrated. The error correction specification of productivity growth surprisingly reflects negative agglomeration effects. From the theoretical model it follows that congestion effects must have taken precedence over agglomeration effects during this period. Both agglomeration and congestion effects are dampened by job density in neighboring regions. Finally, policy simulations with the estimated model show that spatial concentration is more harmful to national productivity growth than spatial dispersion.     

TOTAL FACTOR PRODUCTIVITY GROWTH IN MANUFACTURING FURTHER EVIDENCE FROM THE STATES*

In this paper, we first develop a measure of total factor productivity (TFP) growth and summarize a source-of-growth analysis for the manufacturing sector of 48 states. As have others, we find little association between TFP growth differentials and output growth differentials for census regions. At the staterather than the regional level, however, we find a positive association between TFP growth and output growth. We use cross-sectional data to estimate the determinants of the variation in TFP growth. Two results emerge that are important for regional policy and for understanding national productivity trends. First, state investments in education and in transportation infrastructure may affect TFP growth. Second, energy price increases in the early 1970s had no differential effects on productivity growth across states. We also explore the determinants of manufacturing output growth and find that TFP growth, demand growth, wage growth, wage levels, and state corporate income tax rates are significant.     

Social capital determinants and labor market networks

We explore the links between determinants of social capital and labor market networks at the neighborhood level. We harness rich data taken from multiple sources, including matched employer–employee data with which we measure the strength of labor market networks, data on neighborhood homogeneity that has previously been tied to social capital, and new data—not previously used in the study of social capital—on the number and location of nonprofit sector establishments at the neighborhood level. We use a machine learning algorithm to identify the potential determinants of social capital that best predict neighborhood‐level variation in labor market networks. We find evidence suggesting that smaller and less centralized schools, and schools with fewer poor students, foster social capital that builds local labor market networks, as does a larger Republican vote share. The presence of establishments in a number of nonprofit‐oriented industries are identified as predictive of strong labor market networks, likely because they either provide public goods or facilitate social contacts. These industries include, for example, churches and other religious institutions, fire and rescue services including volunteer fire departments, country clubs and golf courses, labor unions, chamber music groups, hobby clubs, and schools.     

POPULATION DISPERSION VS. CONCENTRATION IN A TWO‐REGION MIGRATION MODEL WITH ENDOGENOUS NATURAL AMENITIES*

ABSTRACT Contrary to the predictions of the basic spatial equilibrium model, the long‐run distribution of population across rural U.S. counties with high‐valued natural amenities has become relatively more concentrated versus dispersed. We provide an explanation by developing a two‐region model with mobile labor, production externalities and endogenous natural amenities. We find that strong preferences for natural amenities generally foster population dispersion. However, such preferences can also lead to population concentration when ecological degradation is low and man‐made capital is a relatively scarce input into natural amenity production. Investments that enhance natural amenities are found to reduce the divergence between the steady state and optimal outcomes.     

Regional inequality in the U.S.: Evidence from city-level purchasing power

Using quarterly data for 42 products over the period from 1990 to 2015, we find that there has been a large and growing dispersion of purchasing power across U.S. cities since 1990 and the dispersion varies widely across products. We also find that total factor productivity shock precedes or predicts the rise in regional inequality of purchasing power. We view that the growing regional inequality found in the purchasing power among U.S. cities might have proceeded after nationwide productivity shocks mainly by the cities with higher share of skilled workers through the products with more flexible price adjustments.     

产业要素配置结构对生产率的影响研究——以杨凌示范区为例

本文基于要素生产率变动的视角,以杨凌示范区为例,在分析产业要素配置结构对生产率的作用路径基础上,通过估算资本存量,分析产业要素配置结构的构成,并利用偏离-份额法研究产业要素配置结构对生产率的影响作用。研究结果表明,杨凌示范区存在产业要素错配,第二产业成为杨凌示范区经济增长的核心部门,而第一产业的要素投入与发展农业现代化的目标不协调;劳动生产率的增长主要来自产业内部的增长效应,而非配置效应,其经济增长主要依赖要素投入带来的产业规模扩张;资本生产率的增长主要来源于产业内部的作用,在杨凌示范区发展初期,产业要素配置结构对资本要素生产率起到了阻碍作用,但这一情况正在逐渐改善。     

Location and Growth in the Brazilian Northeast

Abstract Clustering of economic performance across jurisdictions has generated considerable research on the spillovers and linkages among geographical neighbors. Much of this work, however, has been aspatial, implying that the influence of location attributes on growth has been largely ignored. In this paper, we examine the contribution of location to regional economic growth using municipio‐level data for the Brazilian Northeast—a historically lagging region of the country. We test if productivity among northeastern municipios is converging to a steady state and whether spatial externalities are linked to productivity growth in individual municipios. We find that, conditional on structural characteristics, productivity among municipios is converging at about 3 percent per year. Further, productivity in individual municipios is positively associated with own‐structural characteristics but negatively associated with productivity growth in neighboring municipios. This means that there are negative spatial externalities coming from productivity improvements in neighboring regions.     

INTERREGIONAL KNOWLEDGE SPILLOVERS AND OCCUPATIONAL CHOICE IN A MODEL OF FREE TRADE AND ENDOGENOUS GROWTH*

ABSTRACT A two region model of horizontal innovation with free trade and occupational choice is used to examine the spatial patterns of innovation and manufacturing industry in interior and core‐periphery long‐run equilibria. The inclusion of skill heterogeneity among workers creates a tension between stabilizing productivity effects that coincide with reallocations of workers across industries, and destabilizing productivity effects that arise with localized stocks of knowledge capital. We find that while core‐periphery equilibria are always saddlepath stable, interior equilibria are saddlepath stable when knowledge spillovers exceed a threshold level but are unstable otherwise. In addition, incorporating skill heterogeneity into the model allows for interior equilibria with asymmetric shares for innovation and industry.     

Equilibrium and Economic Growth: Spatial Econometric Models and Simulations

Neoclassical theory assumes diminishing returns to capital and spatially constant exogenously-determined technological progress, although it is questionable whether these are realistic assumptions for modeling manufacturing productivity growth variations across European Union (E.U.) regions. In contrast, the model developed in this paper assumes increasing returns and spatially varying technical progress, and is linked to endogenous growth theory and particularly to 'new economic geography' theory. Simulations, involving 178 E.U.regions, show that productivity levels and growth rates are higher in all E.U. regions when the financially assisted (Objective 1) regions have faster output growth. This also reduces inequalities in levels of technology. Allowing the core regions to grow faster has a similar effect of raising productivity growth rates across the E.U., although inequality increases. Thus, the simulations are seen as an attempt to develop a type of 'computable geographical equilibrium' model which, as suggested by Fujita, Krugman, and Venables (1999), is the way theoretical economic geography needs to evolve in order to become a predictive discipline.     

HUMAN CAPITAL LOCATION CHOICE: ACCOUNTING FOR AMENITIES AND THICK LABOR MARKETS*

ABSTRACT A growing literature has found a positive association between human capital and long‐run employment growth across cities. These studies have increased interest in understanding the location choices of university degree holders, a group often used as a proxy measure of human capital. Based on data from the 2001 Canadian Census of Population, this paper investigates determinants of the location choices of degree and nondegree holders. With a multinomial logit model, it tests a series of hypotheses about the differential effects of thick labor markets and amenities on the location choice of these groups across metropolitan and nonmetropolitan areas in Canada.     

Employment Risk in U.S. Metropolitan and Nonmetropolitan Regions: the Influence of Industrial Specialization and Population Characteristics

Abstract.  A dynamic labor market model is used to motivate the inclusion of population characteristics and industrial structure as determinants of regional employment instability. We examine how these factors influence regional employment instability using data from both metropolitan and nonmetropolitan regions in the United States. We find that population characteristics are important determinants of employment volatility and that increased industrial specialization (reduced diversification) increases employment volatility, but the magnitude of that influence drops substantially once population characteristics are considered. We also find that the influence of population characteristics and industrial specialization varies significantly across metropolitan and nonmetropolitan regions.     

Working women in the city and urban wage growth in the United States

Although the female labor force participation rate of women has been steadily rising in the United States, there is substantial variation across cities. Previous cross‐county studies find that gender inequality in employment reduces economic efficiency hindering growth. This result is examined in a regional context, across metropolitan areas in the United States. Throughout multiple model formulations including instrumental variables approaches, higher initial female labor force participation rates are positively related to subsequent wage growth in metropolitan areas between 1980 and 2010. Specifically, every 10 percent increase in female labor force participation rates is associated with an increase in real wages of nearly 5 percent.     

ECONOMIC DEVELOPMENT TRENDS IN THE USSR, 1970-1988: PART I (PRODUCTION AND PRODUCTIVITY)

The first of two articles devoted to spatial and temporal trends in economic development and levels of living within the USSR focuses on changes in the pattern of absolute and per capita economic output—national income produced and gross value of industrial output (at the republic and economic regional level, respectively). It then investigates the question of whether divergence or convergence has occurred among republics and economic regions in terms of these indicators. Finally, it assesses patterns of change in labor and capital productivity across Soviet republics.     

产业联系与外资溢出效应-对浙江省制造业的实证研究

本文探讨水平联系、前向联系和后向联系对外商直接投资溢出效应的影响。利用浙江省制造业数据,通过实证分析发现,浙江省制造业外资总体上具有水平负向溢出效应,同时通过后向联系产生正向溢出效应。水平负向溢出效应主要是外资企业带来的激烈竞争所导致的,产业后向联系产生的正向溢出效应主要通过外资企业的本地采购发生。浙江省内资制造业企业并没有从购买外资企业中间投入品而显著提升效率。     

PATTERNS AND DETERMINANTS OF PRODUCTIVE EFFICIENCY IN STATE MANUFACTURING*

ABSTRACT This paper uses a stochastic frontier production-function model to measure and compare productivity efficiency in the manufacturing sector of states in the United States over the period 1959–1972. Based on this model we find considerable variations in productive efficiency across states. A large portion of the variation is found to be related to regional differences in labor-force characteristics, levels of urbanization and industrial structure. We also examine the relationship between productive efficiency and the subsequent growth of manufacturing and find some evidence of a weak relationship between efficiency and the growth of employment.