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。     

THE LOCATION OF METAL-INTENSIVE AND LABOR-INTENSIVE INDUSTRIES IN THE EASTERN REGIONS

The author argues against the widespread view (stated in several articles in Soviet Geography) that labor-intensive industries should be kept out of Siberia because of the shortage of labor resources in that region. Taking the specific example of labor-intensive machinery industry such as instrument-making, as opposed to steel-intensive industry, he points out that labor-intensive plants, by virtue of their smaller size, usually have smaller labor requirements than large heavy-machinery manufacturing plants. Moreover, he argues, location must not be based on total population or total labor resources of a region, but on the availability of so-called free (nonemployed) labor resources, which consist largely of women and of young people just entering upon a career. This category of labor resources happens to be greater in the eastern regions than in the western regions of the Soviet Union. In fact, one reason for the net out-migration from Siberia, according to the author, is that second and third members of households find it difficult to obtain jobs in a regional economy that is largely oriented toward male employment (in extractive industry, timber felling, etc.). The introduction of labor-intensive industries into existing Siberian industrial complexes would thus help provide employment to other household members and eliminate one reason for out-migration.     

Peculiarities of the Geography of Primary Processing

The locational pattern of primary processing industries in the USSR is analyzed in terms of their relationship to the distribution of resource bases of different magnitude and to level of development of extractive industry. Some industry groups, such as coal-based power generation, iron and steel, coke chemicals, sawmilling, tend to gravitate toward regions with large resource bases. Other groups of primary processing, such as glass, ceramics, woodworking, tend to be localized in areas with small resource bases or no local resource base whatever. However, some industry groups that tend to be pulled toward large resource bases (nonferrous metallurgy, oil refining) are also located in part at some distance from raw-material sources under the impact of various economic factors. Conversely, other industry groups that are generally less dependent on local resource bases (woodworking, basic chemicals) also tend to gravitate toward large resource bases that have achieved a high level of extractive industry.     

Geographical Approaches to the Study of Extractive Industries

The locational patterns of development of extractive industry in the USSR have been neglected as an object of study in Soviet economic geography. The geography of resource-based industry is determined by two groups of factors: natural and economic. Research is needed to establish the quantitative parameters of the effect of natural factors on location. The most significant economic factor of location is technical progress. A basic problem in the development of extractive industry in the Soviet Union has been the areal disparity between availability of resources and resource use. The disparity is most evident between the western and eastern zones of the country. Soviet economic regions can be grouped according to their share in the gross output of all extractive industry. Within groups, regions can be distinguished according to the extent to which available resources are being used. Resource-based industries tend to form the core of industrial complexes, particularly in pioneering regions where the economy is in its early stages of development. Five types of resource complexes are distinguished: energy-oriented complexes, ore-based complexes, fishery complexes, timber complexes, and nonmetallic mineral complexes.     

IMPACT OF RIGIONAL FACTORS ON PRODUCTIVITY IN CHINA*

ABSTRACT. The regional production environment in China is decomposed into five regional factors: education endowment, foreign direct investment, agglomeration, producer's market accessibility, and consumer's market accessibility. The impacts of these regional factors on the Chinese machinery building industry and food manufacture industry are estimated across 30 regions. The estimates are highly significant and show that these regional factors substantially affect regional productivity. Across regions and over time, the capital return rate is positively related to the ratio of the total regional factor impact to the wage rate.     

Industry Characteristics Linked to Establishment Concentrations in Nonmetropolitan Areas

In this paper we investigate industry characteristics associated with the clustering of establishments in three-digit SIC manufacturing industries in nonmetropolitan areas. The dispersion parameter k of the negative binomial distribution is selected as the measure of industry spatial concentration. Associations between industry characteristics and spatial concentration are investigated using OLS regression analysis. Our findings indicate that the spatial clustering of establishments is positively related to industry average establishment size, reliance on natural resource inputs, labor intensity, cost shares of professional and technical employees, and cost shares of low-skilled workers. Agglomeration is negatively related to multiplant structure, employment in precision production, and reliance on local product and input markets.     

Within‐industry agglomeration of occupations: Evidence from census microdata

This study uses worker‐level data on industry, occupation, and place of work to explore differences in the spatial properties of production, administrative, and R&D occupation groups within industries. To measure differences, we calculate location quotients at the local labor market level and the Duranton and Overman (2005) agglomeration index for each group. We find appreciable differences in the spatial distribution of occupation groups within most manufacturing industries, with R&D occupations consistently exhibiting the highest degree of spatial concentration. Our results are consistent with the core theoretical and empirical results in the agglomeration literature.     

Region‐specific determinants of the foreign direct investment in China

This study revisits region‐specific determinants of foreign direct investment (FDI) in Eastern, Central, and Western China using econometric and spatial analyses. It uses a data set covering 31 Chinese provinces and autonomous regions spanning the period 2005–15, together with panel data regression. Our statistical results show that in Eastern China, FDI is significantly associated with bilateral trade, orientation towards the service industry, industrialisation level, and availability of strategic assets in the region. In Central China, FDI is mainly pulled by availability of the domestic market and strategic assets in the region. In Western China, FDI inflows are mainly determined by natural resource endowment, industrialisation level, and regional innovation and production effectiveness in information and communication technology industries. Our analysis also reveals the impact of FDI in China's regional development and its capacity to hollow out the three Chinese macro‐regions. Our findings for China lead us to suggest that those governments seeking to attract FDI should not solely rely on it to facilitate local economic development and should make use of local circumstances in combination with FDI to boost their economies.     

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.     

On the Comparative Effectiveness of the Economic Structure of Regions

An important problem in insuring optimal operation of the centrally planned and state-controlled economy of the Soviet Union is to measure the efficacy of the industrial structure and productive specialization of republics and economic regions. Several measures of the efficacy of regional economies have been proposed, involving various relationships between labor productivity, the value of capital plant and equipment and the value of output. All these measures are unsatisfactory, in the author's view, and an alternate approach is suggested, using the net concept of national income produced by regions. This approach has been made possible by the recent calculation of input-output tables for republics and economic regions. The idea of using national income as a measure of regional economic efficacy was first proposed in the Soviet literature by A. Ye. Probst, whose comments appear elsewhere in the issue of Soviet Geography.     

An Evolutionary New Economic Geography Model

In this paper we present a general new economic geography model with multiple industries and regions, full labor and capital mobility, land use in production and consumption, and a dynamic adjustment process in which consumers maximize utility and firms respond to nonzero profits. All industries use intermediate inputs as well as land, labor, and capital. Systems of cities form endogenously within this framework, including asymmetrical urban hierarchies and cities of different sizes and industry compositions. Each urban area has a bid-rent gradient and zones with land uses and densities as in the von Thünen model. The equilibrium depends not only on initial conditions but also on speeds of adjustment. The model is a prototype for empirical implementation, as illustrated with a simulation of the effects of transportation cost reductions.     

宁夏移民安置区剩余劳动力状态分析

农村剩余劳动力转移是当前社会各界共同关注的问题。本文就宁夏移民安置区这一特殊区域的剩余劳动力产生的背景状态、自身资源状态、输出人员的结构状态及目前的转移状态进行了分析,进而研究了影响移民区剩余劳动力转移的各种因素,提出了加速推进移民区剩余劳动力转移的五条对策,即重视移民区小城市与中心城镇的建设、加速非农产业的发展、加大对劳动力的技能培训、加强对劳务输出的组织与服务、加快体制和制度创新。     

A Descriptive Analysis of Discrete U.S. Industrial Complexes*

Abstract. We use the Getis/Ord local G statistic and detailed county‐level industry employment data from the U.S. Bureau of Labor Statistics to isolate discrete industrial complexes—or groups of nominally linked industries clustered in particular locations—for two recent years: 1989 and 1997. We describe the characteristics of the complexes in terms of their number, spatial extent, broad regional distribution, and other factors. Data from the two periods help illustrate key shifts in industrial locations, including the continuing concentration of the apparel industry in the Southeast and the ongoing southern shift in U.S. vehicle production.     

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.     

The Local Implications of Major Job Transformations in the City: A Spatial Microsimulation Approach

The changing dynamics of regional and local labor markets during the last decades have led to an increasing labor market segmentation and socioeconomic polarization and to a rise of income inequalities at the regional, urban, and intraurban level. These problems call for effective social and local labor market policies. However, there is also a growing need for methods and techniques capable of efficiently estimating the likely impact of social and economic change at the local level. For example, the common methodologies for estimating the impacts of large firm openings or closures operate at the regional level. The best of these models disaggregate the region to the city (Armstrong 1993; Batey and Madden 1983). This paper demonstrates how spatial microsimulation modeling techniques can be used for local labor market analysis and policy evaluation to assess these impacts (and their multiplier effects) at the local level‐to measure the effects on individuals and their neighborhood services. First, we review these traditional macroscale and mesoscale regional modeling approaches to urban and regional policy analysis and we illustrate their merits and limitations. Then, we examine the potential of spatial microsimulation modeling to create a new framework for the formulation, analysis and evaluation of social and local labor market policies at the individual or household level. Outputs from a local labor market microsimulation model for Leeds are presented. We show how first it is possible to investigate the interdependencies between individual's or households labor market attributes at the microscale and to model their accessibilities to job opportunities in different localities. From this base we show how detailed what‐if microspatial analysis can be performed to estimate the impact of major changes in the local labor market through job losses or gains, including local multiplier effects.     

区域文化产业竞争力评价分析:基于VRIO模型的修正

近年来国内关于区域文化产业竞争力评价的研究成果层出不穷,然而由于文化产业竞争力的抽象性,学界对其概念的界定和影响因素重要程度的理解不同,关于其评价原则及具体标准难以形成一致观点。本文在对现有评价体系进行总结和评述的基础上,依据VRIO模型,构建了一套新的区域文化产业竞争力评价体系。该评价体系有效突出文化产业的发展潜力、创新性和稀缺性等评价时的特性;突出了文化产业的社会属性和可持续发展能力;明确了众多影响要素的层次关系和作用结构;强化了评价体系的可操作性,以试图更加客观、全面地反映我国文化产业的发展情况。     

跨国公司地方嵌入新视角:基于地方劳工市场的研究进展与理论思考

20世纪90年代以来,跨国公司地方嵌入研究相对聚焦于资本密集型或技术密集型企业,而需要大量非熟练工人的劳动密集型跨国企业并未引起足够关注,建立在产业联系、技术外溢、社会网络等核心概念基础上的跨国公司地方嵌入分析框架很显然不能很好地解释劳动密集型跨国公司地方嵌入的理论与实践问题。在劳工地理学、新经济地理学等学科背景下,基于全球生产网络、关系嵌入、空间修复等核心概念,研究分别从劳工能动性的空间尺度、跨国公司地方嵌入的劳工要素、劳工管控对跨国公司的地方嵌入、区域劳工景观的空间修复等视角出发,系统梳理相关研究进展并提出未来主要研究议题,包括如何识别劳工供需因素对跨国公司地方嵌入的影响机制,如何剖析特殊劳工管控体制下劳工空间实践与能动性的关系,如何刻画跨国公司地方嵌入对区域劳工经济地理景观的影响,如何总结跨国公司地方嵌入与区域发展的战略耦合模式等。     

LOCAL INPUT AND PRODUCTIVITY GROWTH IN U.S. MANUFACTURING: 1972–2002*

ABSTRACT This research analyzes manufacturing growth and decline across metropolitan and nonmetropolitan regions during the 1972–2002 period. We decompose real value added growth across local labor market areas in the lower 48 U.S. states into contributions from labor, capital, and total factor productivity. We then estimate a model describing the long‐run growth of labor, capital, and productivity and find that increased productivity increases the growth of labor and capital, as well as a positive correlation between labor and capital stock growth. We also find evidence that human capital investment and agglomeration economies encourage productivity growth, while unionization discourages it.     

THE POPULATION DYNAMICS OF EAST SIBERIA AND PROBLEMS OF PREDICTION

A review of population trends in the USSR and in East Siberia suggests that net in-migration will become a negligible source of labor over the next 25 years until the year 2000 because past labor surpluses no longer exist in the western regions of the Soviet Union and because living conditions in the eastern regions are inferior to conditions in the west. East Siberia will therefore have to depend increasingly on the regional rate of natural increase. The region's population is expected to grow from 8 million in 1970 to 10–12 million by the year 2000. The slow predicted growth of population is not expected to become a constraint on the region's economic development because of rising labor productivity and a regional emphasis on energy-intensive and raw-material-oriented industries rather than labor-intensive activities.