Dynamic Shift-Share Analysis

Most applications of shift-share analysis to regional employment change have used a study period of several years and have examined conditions only at the beginning and end years. This comparative static approach does not take into account the continuous changes in both industrial mix and size of total employment of the region over the study period. Calculating the national growth effect, the industrial mix effect, and the competitive effect on an annual basis and then summing the results over the study period provides a more accurate allocation of job changes among the three shift-share effects. This approach, which we term dynamic shift-share analysis, also allows unusual years and years of economic transition to he identified. We illustrate the use of dynamic shift-share by presenting results of an analysis of New England employment growth from 1939 to 1984, using U.S. Bureau of Labor Statistics data. The use of the dynamic form of shift-share is important when the study period is characterized by either large changes in regional industrial mix or major differences between regional and national growth rates.     

Exploring the recent upsurge in productivity disparities among European regions

This paper analyses thse evolution of productivity disparities across 156 European regions in the period 2000–2015. Using regional data, a battery of inequality indexes enables us to assess the extent of regional disparities. After confirming that labour productivity is the main component of income disparities, a dynamic shift-share analysis is carried out at a 10-industry level of disaggregation. The study evaluates the relative role of the three components underlying the disparities in regional productivity: changes in the industry mix, and within- and between-industry productivity gaps. The main results can be summarised as follows. First, regional disparities are on the rise again in the EU. Second, most regions are now closer to the average, while a small group of the richest regions are moving further away. Third, the main drivers of productivity disparities are within-industry differences in labour productivity with regard to the richest regions and, less importantly, the specialisation of the richest regions in more progressive industries. Finally, the net effect of structural change is still making a positive contribution to convergence with the leading regions.     

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 Output and Productivity Changes on Manufacturing Employment

Traditional univariate shift-share studies of employment provide an unreliable indicator of the relative performance of a region or an industry for they fail to separate the effects of output and productivity change on the demand for labor. An extended shift-share model is proposed that overcomes this weakness and permits identification of different processes of regional development. This model is used to investigate annual employment change in twenty (two-digit SIC) manufacturing industries in nine census regions of the U.S. between 1950 and 1986. The timing and depth of the exodus of manufacturing jobs from the snowbelt to the sunbelt is illustrated along with the business cycle performance of industries and regions. Productivity growth in the sunbelt is positively associated with rapid output expansion, whereas in the snowbelt it is associated with the loss of market share and economic rationalization.     

Productivity Change in Manufacturing Regions: A Multifactor/Shift-Share Approach

ABSTRACT The traditional shift-share model measures the combined effects of output growth and productivity change on employment. A region with above average employment growth either has a favorable industry mix or enjoys a competitive advantage over other regions. To separate the effects of output and productivity, the shift-share model is extended to decompose the effects of changes in output and productivity on employment. This paper modifies the Rigby-Anderson extension by separating the contribution of labor and capital to productivity growth in the analysis of regional economic performance, and investigates twenty (two-digit SIC) manufacturing sectors in twelve states (six snowbelt, six sunbelt states) to assess whether observed changes in employment were due to changes in output or to productivity.     

Shift-Share Analysis: The International Dimension

This paper extends the traditional shift-share model to incorporate international effects. While some industries compete nationally for markets, other compete internationally. For industries competing nationally, regional growth derives from regional superiority relative to the national economy. For those competing internationally, regional growth is tied to regional advantages from specialization and competitive advantage relative to the international economy. Building on the Esteban - Marquillas concept of homothetic employment, the international shift-share model identifies regional growth due to regional and national competitive advantage and regional and national specialization. We demonstrate that the international model retains the property of region to region additivity.     

On the Value of Homotheticity in the Shift-Share Framework

The purpose of this paper is to examine the usefulness of homothetic reformulations of the shift-share accounting model to the practitioner of regional growth studies. The reformulations of Esteban-Marquillas (1972) and Arcelus (1984) are examined to determine if they improve the shift-share framework as a means for accounting for regional economic growth or decline. The purpose of the homothetic models is to separate out change in a region's employment (or value added) associated with its prior or base year specialization in particular industries from change associated with changes in the mix of industries that occurred during the period under study. It is contended while the resulting accounts may help in understanding individual industry's growth rates, they shed little light on total regional growth. Indiana employment data from 1977 and 1986 are used to illustrate the arguments.     

Shift-Share Analysis and the Potential for Predicting Regional Growth Patterns: Some Evidence for the Region of Quebec,Canada

The purpose of this paper is to explain changes in regional attractiveness as measured by the competitive component of the shift-share model. This is done by applying the shift-share model to the manufacturing sector in the province of Quebec and using time series data for twenty two-digit industries as the basis of analysis. The study concludes that shift-share is useful for analyzing historical employment patterns and identifying their causes through regression analysis. However, the inherent structural instability limits the predictive potential of the model.     

中部地区产业结构演变与经济增长关系研究

以1995-2009年统计数据为基础,利用偏离-份额分析法（SSM）重点探究了中部地区的产业结构演替与经济增长之间的关系,为各省调整产业结构、促进中部崛起提供理论指导。结果表明：1.中部地区产业结构变化总体与产业结构演进的一般规律相符。2.中部地区产业结构演替对经济发展的影响情况分为：江西和安徽产业结构偏离为负,竞争力偏离份额为负;山西和河南产业结构偏离为正,竞争力偏离份额为负;湖北和湖南产业结构偏离为负,竞争力偏离份额为正等3种类型。3.产业结构变迁对各省经济增长的影响差异较大。     

Shift‐Share Analysis and Changes in Japanese Manufacturing Employment

Shift‐share analysis is used to examine the role of spatial structure on changes in regional manufacturing employment, in contrast to the traditional focus of shift‐share studies on the role of industrial structure. It is argued that changes in a region's space‐economy can be understood not only in terms of the economic subdivisions of the region but also in terms of the contribution of its spatial subdivisions. The latter is illustrated by means of a case study of the contribution of different types of local area to changes in regional manufacturing employment in Japan. Each region was subdivided into four types of local area based on population density. The analysis covered the period from 1981 to 1995, a time of major transformation in Japan's space‐economy. The shift‐share model was also used to estimate the impact of local area output and productivity on changes in regional employment. In general, the results show that there was a progressive underdevelopment of the core regions, associated with falling output and productivity. The country's peripheral regions were characterized by development, associated with rising output and productivity. Atthe local scale, however, the picture is far more complex. Types of local area contributed to regional employment change in very different ways, with respect to both time, region, and output/productivity. The contribution of local spatial structure to the regional space‐economy of Japan is fundamentally fragmented and uneven.     

Considerations in Extending Shift-Share Analysis: Note

One of the limitations to the widespread use of the Esteban-Marquillas shift-share extension has been the Stokes (1974) proof of the lack of regional additivity of the Esteban-Marquillas competitive components. Since the Arcelus extension (1984) of the traditional shift-share decomposition is a continuation of the logical framework by Esteban-Marquillas (1972), the Stokes criticism would at first appear to have equal relevance to this new work. This note demonstrates that the relationship between the rate of growth of the larger region and the rates of growth of its constituent subregions is ignored in the Stokes criticism and in the subsequent critique by Beaudry and Martin (1979). By explicitly incorporating the relationship between the rate of growth of the larger region and the rates of growth of the constituent subregions, we also demonstrate that the recent shift-share extensions by Esteban-Marquillas and Arcelus share with the classical shift-share decomposition the desirable additive properties under regional disaggregation of the data.     

基于尺度推绎方法的生态脆弱区耕作适宜性研究——以山西省寿阳县为例

以山西寿阳县的玉米和小麦为研究对象,应用尺度推绎方法开展机械化与传统耕作方式下区域粮食作物耕作适宜性的对比研究。结果表明：（1）传统耕作方式下玉米与小麦适宜种植面积皆要大于机械化耕作方式下两种作物适宜种植面积,而无论是机械化种植还是传统耕作小麦适宜种植区面积皆大于玉米种植适宜区.（2）两种作物种植适宜区空间分布呈两极化特征,即高度适宜区与永久非适宜区占据研究区绝大部分区域.（3）两种粮食作物高度种植适宜区基本集中在寿阳县北部黄土高原的塬、沟地貌区及坡度较小的山区。建议在机械化种植与传统耕作方式下皆是中、高度种植适宜区域采取机械化种植方式,而在仅适宜传统耕作的种植适宜区采取传统方式耕作。     

Spatial Industrial Dynamics in Sweden: Urban Growth Industries

In this paper two basic theories within spatial industrial dynamics—the filtering-down theory and the spatial product cycle theory—are used to explain processes of spatial decentralization and centralization of economic activities. In particular, a case is made for the idea that employment decentralization should be expected not only for growing and maturing manufacturing industries but also for growing and maturing service industries. Based upon this theoretical framework the empirical part of the paper analysis the spatial behavior during the period 1980 to 1993 of the employment in a group of 19 industries in Sweden—the so-called urban growth industries—with an expected high potential for employment decentralization. Most of the industries exhibited the expected pattern of employment decentralization with the larger medium-sized regions as the main winners. A shift-share analysis shows that the overall magnitudes of the competitive shift components are rather small and that, hence, Sweden during the period 1980–1993 did not experience a drastic change in the spatial distribution of its urban growth industries.     

The Spatial Dimension of Trade‐ and FDI‐driven Productivity Growth in Chinese Provinces: A Global Cointegration Approach

This paper analyses the major determinants of long‐ and short‐run labour productivity evolution for Chinese provinces between 1978 and 2010. The role played by openness to trade and foreign direct investment (FDI) constitutes the main focus of this analysis. From a methodological perspective, our main contribution is the inclusion of spatial effects into a dynamic error correction modelling framework. The results show that, in addition to domestic factors such as investment intensity and infrastructure use, trade openness and inward FDI also exert a direct impact on labour productivity. Furthermore, the geographical environment has a strong indirect influence on productivity: The more a region is surrounded by high‐productive regions with good infrastructure and linkages to the world economy, the higher are its productivity level and growth rate. The magnitude of these impacts varies by spatial regime (coastal, interior provinces) and time period in focus. Especially in the recent past, trade and FDI activity appear to be increasingly important drivers of regional productivity evolution, both for coastal and interior regions. These findings have important policy implications: In order to fully exploit the benefits from such spillovers, coordinated industrial policies which foster regional complementarities and support the free movement of production factors across regional borders are crucial.     

Internet development and the spatial optimization of regional productivity: Evidence from China

The rapid development of the Internet had a profound influence on the spatial distribution of economic output activities. On the basis of theoretical analysis, this study takes China's regions as research samples and construct a spatial econometric model to empirically analyze the impact of Internet development on regional productivity. The analysis reveals that the distribution of regional productivity in China had significant spatial correlation; regional productivity had positive spatial externalities; Internet development had significant promotion effects and positive spatial spillover effects to regional productivity, but the effects are heterogeneous in different subregions. The subregion analysis shows that the optimization effect of the Internet on regional productivity exhibits heterogeneity in different subregions. The threshold effect analysis reveals the increasing marginal effect of Internet development on regional productivity, and economic development and human capital supply are important factors restricting this marginal effect. Altogether, this study provides useful references on the positive effects of the Internet on regional productivity in the spatial dimension, and suggests that the policy makers can optimize the spatial distribution of regional productivity by promoting Internet access in various regions and narrowing the digital divide among regions.     

Regional metropolitan and nonmetropolitan trends in annual growth rates of total personal income and population: 1959-1987

"The annual growth rates of total personal income and population in regional metropolitan and nonmetropolitan areas [of the United States] are examined for the period 1959-87, partitioned into sub periods. Statistical testing for equality of rates shows no perceptible differences in growth rates between the major categories, metro and nonmetro. Further, this study uses a model similar in scope to shift-share analysis to test for convergence of the growth rates within these categories. It was found that for both regional nonmetro and metro areas, there was a general trend toward convergence with the exception of the 1970s decade. In that decade total population growth rates in the nonmetro areas and total income and total population growth rates in the metro areas showed significant divergences."     

Spatial Clusters in EU Productivity Growth

In the last year, a central issue in regional economic growth debate has been represented by the empirical analysis of Verdoorn's law related to the long‐term dynamic relationship between the rate of growth in output and the productivity growth due to increasing returns. Several papers have tested Verdoorn's law on European countries as well as many other world economies. Recently, attempts have been made to provide foundations for a spatial version of the original law specification. The main contributions were dedicated to the inclusion of spatial dependence in the economic model. Surprisingly, in the literature on Verdoom's law the analysis of the spatial heterogeneity is not often considered. The aim of this paper is the regional analysis of the spatial dependence and heterogeneity in Verdoorn's law, identifying spatial regimes that can be interpreted as clusters of productivity growth in European regions at NUTS 2 level. To pursue this objective, an optimization algorithm for the identification of groups is used. This constitutes a modified version of Simulated Annealing.     

Persistent Differences in Well-Being Between Appalachian Subregions

ABSTRACT Previously it was reported that regional variations in well-being (poverty, per capita income, and family income) among Appalachian counties did not originate from regional variations in urbanization, but from regional differences in well-being among nonmetropolitan counties. It was argued that southern Appalachian counties had higher levels of well-being at the end of the 1980s because nonmetropolian counties in southern Appalachia experienced greater economic growth during the 1980s than did nonmetropolitan counties in other Appalachian regions. In this paper these data are reanalyzed to test to what extent the original findings are affected by the presence (and failure to control) spatial autocorrelation. Using a spatial lag model it is shown that correcting for spatial autocorrelation statistically altered the original results. However, substantively, the conclusions from the original analysis did not change: regional differences in county well-being in Appalachia are largely the product of regional differences among nonmetropolitan counties, even after correcting the model for spatial autocorrelation.     

Growth and Location of Economic Activity: The Spatial Dynamics of Industries in Canada 1971–2001

ABSTRACT A growing literature has accumulated that points to the stability of industrial location patterns. Can this be reconciled with spatial dynamics? This article starts with the premise that demonstrable regularities exist in the manner in which individual industries locate (and relocate) over space. For Canada, spatial distributions of employment are examined for seventy‐one industries over a thirty‐year period (1971–2001). Industry data is organized by “synthetic regions” based on urban size and distance criteria. “Typical” location patterns are identified for industry groupings. Industrial spatial concentrations are then compared over time using correlation analysis, showing a high degree of stability. Stable industrial location patterns are not, the article finds, incompatible with differential regional growth. Five spatial processes are identified, driving change. The chief driving force is the propensity of dynamic industries to start up in large metro areas, setting off a process of diffusion (for services) and crowding out (for manufacturing), offset by the centralizing impact of greater consumer mobility and falling transport costs. These changes do not, however, significantly alter the relative spatial distribution of most industries over time.