中国省区间的外资R&D知识溢出及其空间差异研究——基于随机前沿生产模型(SFA)的实证

基于随机前沿生产函数构建的区域知识溢出模型,实证分析了中国省区层面的外资R&D空间溢出效应及其差异。结果显示,我国外资R&D活动不仅对本省存在溢出影响,对邻省亦有重要贡献;东部省区同时受益于其东、中部邻省的外资R&D溢出效应,但中西部省区均只从同一区域且邻近省份的外资R&D活动获益。研究还发现,我国三大区域内部均已结成紧密的省际空间联系,外资R&D双向溢出显著;但东部与中部省区的空间关联度不强,外资R&D呈单向溢出格局;而中部与西部之间目前仍存在明显的空间分割特征,造成彼此之间互无溢出。     

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.     

Modeling the Impact of Technological Innovation on Environmental Efficiency: A Spatial Panel Data Approach

Technological progress has widely been acknowledged as a key driver in the achievement of environmental sustainability, and a new concern has recently arisen for assessing the role of differences in regional innovation performances with respect to the pursuit of pollution targets. We investigate the impact of innovative activities on environmental efficiency at the regional level, adopting a spatial panel data approach to account for dependence between geographical observations and to get deeper insights into spatial knowledge spillovers arising from agglomeration economies. The spatial panel analysis covers 103 Italian provinces (equivalent to NUTS3 regions) on four major air pollutants (i.e., CO₂, CH₄, NMVOC, CO) over the 1995–2010 period. Our findings show that the state of local technology development, proxied by patents, has a positive impact on GDP emission efficiency and that its magnitude is higher for more localized pollutants as a result of larger spillover effects. Finally, to analyze the Italian North-South dualism of emission levels of pollutants, we offer a spillover effect study to emphasize the remarkable difference among effects in the territory. This calls for closer attention to the local relevance of the pollution damage when environmental impact of innovation strategies is to be evaluated.     

BORDERS AS BOUNDARIES TO FISCAL POLICY INTERACTIONS? AN EMPIRICAL ANALYSIS OF POLITICIANS’ OPINIONS ON RIVALS IN THE COMPETITION FOR FIRMS

Studies of spatial policy interdependence in (local) public policies usually concentrate on the relations between jurisdictions within a single analyzed region, and disregard possible extraregional effects. However, the theoretical spatial statistics literature shows that biased estimates might emerge if spatial interactions extend beyond the boundaries of the available data (i.e., the boundary value problem). This paper empirically assesses the practical relevance of this concern by studying German local politicians’ assessments of their jurisdictions’ main competitors in the struggle to attract firms. We find that location near a border significantly undermines politicians’ perception that the fiercest competitive pressure derives from jurisdictions within their own state. This effect sets in about 20 km (10.2 km) from a national (international) border. These results indicate that nearest municipalities perceive each other as competitors regardless of the state or country where they are located, which has important implications for estimating spatial dependence models.     

SPREAD AND BACKWASH EFFECTS FOR NONMETROPOLITAN COMMUNITIES IN THE U.S.

Few studies empirically estimate the effects of metropolitan growth on nonmetropolitan communities at a national scale. This paper estimates the growth effects of 276 MSAs on population in 1,988 nonmetropolitan communities in the United States from 2000 to 2007. We estimate the distance for growth spillovers from MSAs to nonmetropolitan communities and test the assumption that a single MSA influences growth. We compare three methods of weighting cities’ influence: nearest city only, inverse‐distance, and relative commuting flow to multiple cities. We find the inverse‐distance approach provides slightly more reliable and theoretically supportable results than the traditional nearest city approach.     

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.     

SPATIAL AUTOCORRELATION IN BRITISH UNEMPLOYMENT

ABSTRACT. The recent literature on local unemployment in Britain and the U.S. is reviewed, and a model estimated for Britain which is consistent with the findings of that literature. Spatial econometric techniques are applied to test and elaborate on that model. The results indmte the presence of significant spillovers in adjustments to local demand shocks. These spillovers occur over a wide spatial field and are strongest after a lag, suggesting that they reflect migration behavior. In addition, highly localized spatial interactions are found, consistent with commuting adjustments in response to shocks. Incorporating these effects eliminates spatial autocorrelation from the residuals. A simulation exercise is undertaken to demonstrate the effects of supply- and demand-side shocks on the model solution.     

经济一体化背景下的区域溢出分析

从溢出的角度研究区域间的互动关系是一个全新的视角。本文利用协方差统计模型对广东省与其他省区的溢出关系进行分析。结论是:在航空距离影响下,广东对所有省区都具有强度不同的正溢出效果,发挥了区域带动作用。在接受溢出方面,除了四川,甘肃,宁夏和黑龙江以外,其它省区对广东的溢出均表现出强度不同的正效应。对比分析广东对外溢出和获得溢出,可以看出经济水平邻近的长江三角洲地区、地理邻近省区均与广东表现出较强的相互正溢出效应。在区域间信息化缺口的影响下,广东与各区域之间溢出强度下降。     

GPS-based measurement of geographic spillovers in tourism – example of Polish districts

The agglomeration phenomenon in tourism often spreads beyond the borders of territorial units what is referred to as geographic spillovers. However, the measurement of spatial concentration of tourism demand and economic activity is usually based on statistics collected within regional administrative boundaries and omits the spatial interdependency between neighboring regions. Recognition of such spatial interdependency in the standard procedure to define neighborhood relies on the distance between geometric means (centroids) of territorial units which, however, rarely reflects real ‘centers’ of tourism agglomerations and leads to errors and biased results. Hence, we propose to modify the measures of the neighborhood with the use of GPS coordinates of tourism firms and attractions in order to designate their regional central tendencies and thus to correct (shift in space) localization of centroids of territorial units. We test the usefulness of the new approach to obtain a more precise measurement of spatial concentration when tourism spills over beyond the boundaries of territorial units using the example of Polish districts. We employ the exploratory spatial data analysis (spatial statistics) and spatial regression models – to assess the difference between using traditional centroids and GPS coordinates in defining neighborhood and determining spillover effects in regional analysis. Furthermore we apply the new method into the model of tourism potential in order to identify spillover effects in Polish regions. We use the data collected by Central Statistical Office (tourists staying overnight in 379 districts in 2014) and by Polish Tourist Organization (14,390 GPS coordinates of individual entities: tourism firms and attractions). The neighborhood determined with the use of GPS coordinates to measure the distance between centers of tourism agglomerations eliminates the dependence of the results on the administrative boundaries – but only to some degree. The challenge is to identify tourism agglomeration phenomenon as such, based on the mobility of tourists in space.     

Globalisation Lived Locally: A Labour Geography Perspective on Control,Conflict and Response among Workers in Kerala

Abstract: Supported by the labour geography framework, I analyse how spatial practices of labour shape the economic geography of capitalism, by looking into a model not at a global but at a very local scale of organisation and showing its effectiveness while confronting social actors organised at global or extra‐local scales. Questioning global stereotypes on economic responses to globalisation, I argue that labour becomes actively involved in the very process of globalisation and the expansion of capital, empirically demonstrating the relevance of this in the globalisation literature. I deal with one region—Kerala—and processes in its labour markets, taking the case of apparel workers in an export‐promoting industrial park.     

THE SLX MODEL

We provide a comprehensive overview of the strengths and weaknesses of different spatial econometric model specifications in terms of spillover effects. Based on this overview, we advocate taking the SLX model as point of departure in case a well‐founded theory indicating which model is most appropriate is lacking. In contrast to other spatial econometric models, the SLX model also allows for the spatial weights matrix W to be parameterized and the application of standard econometric techniques to test for endogenous explanatory variables. This starkly contrasts commonly used spatial econometric specification strategies and is a complement to the critique of spatial econometrics raised in a special theme issue of the Journal of Regional Science (Volume 52, Issue 2). To illustrate the pitfalls of the standard spatial econometrics approach and the benefits of our proposed alternative approach in an empirical setting, the Baltagi and Li (2004) cigarette demand model is estimated.     

Bayesian Analysis of Knowledge Spillovers in European Regions*

Abstract. This paper estimates the effects of knowledge spillovers on patent growth rates across 335 European regions over the 1989–1999 period. We propose a dynamic model based on an innovation production function. A Bayesian approach is used to take into account area‐specific innovation and spatial spillovers. The estimation of the model proceeds via Markov Chain Monte Carlo simulation. The results show significant positive and negative spatial effects on innovative activity. The model allows for a rich spatial specification, which we illustrate by incorporating transport proximity measured by transportation time between regions to augment the typical spatial proximity measure of connectivity between regions. Doing this produces more pronounced spatial spillovers that exhibit a more polarized spatial pattern than a model relying on spatial proximity alone.     

Infrastructure and Growth in a Spatial Framework: Evidence from the EU regions

This paper examines the return to infrastructure in the European Union regions in a spatial framework. It innovates on the earlier literature on infrastructure and growth by a combination of regional focus, disaggregation of infrastructure types and consideration of spatial dependence. Different types of infrastructure capital are considered as determinants of economic performance at the Nomenclature des Unités Territoriales Statistiques level. To account for growth spillovers among regions, a spatial Durbin model is estimated. The results confirm the important role of infrastructure and identify the highest rates of return as associated with telecommunication, quality and accessibility of transportation networks, with a positive impact of roads and railways.     

我国装备制造业的创新、知识溢出和产学研合作——基于一个扩展的知识生产函数方法

知识溢出的本地化现象揭示了地理边界的限制机理,然而越来越多的研究表明知识溢出也可发生在远距离的空间范围内。本文以我国装备制造业为例,采用扩展的知识生产函数方法探讨大学和科研机构的知识溢出对区域创新的影响。结果表明,大学和科研机构能够产生强烈的本地和跨区域的知识溢出效应,地理空间和创新网络在跨区域知识溢出中扮演重要角色。其中,产学研合作产生的知识溢出不仅局限于区域尺度,也发生在更高的国家尺度;在地理空间的制约影响下,高素质劳动力的流动对区域创新的影响十分显著且稳定,而大学和科研机构的衍生溢出机制则不那么明显,其原因可能与空间尺度选择有关。     

沉没成本、制度环境与企业出口地理动态

本文使用2002-2011年中国海关出口数据,探究成本视角下企业出口地理动态和作用机制。实证结果表明企业出口活动和邻近企业溢出均对企业在出口市场上的进入和退出存在显著双面性影响：企业出口活动不利于企业进入新市场,但利于企业继续留在国外已有市场中;邻近企业溢出为企业进入新市场创造了有利条件,但加快了企业从已有市场退出。本文还发现在市场化程度较低和政府干预程度较高的地区,企业出口活动和邻近企业溢出发挥的“双面性”影响明显。这意味地方制度环境能影响中国企业出口地理动态,塑造了企业出口的动机和策略。     

The Transformations of Biddy Early: From Local Reports of Magical Healing to Globalised New Age Fantasies

The literatures dealing with legends and vernacular narratives, on the one hand, and collective memory, on the other, are rarely brought to bear on each other. Following a discussion of the classificatory focus of the legend literature, and the lack of agreement about classification in that literature, this paper draws on the collective memory literature to suggest a focus on process. In particular, it suggests that we should pay attention to a historical process during which local reports of “known” people and happenings may be transformed, in the course of their incorporation into wider spheres of discourse, into legends, which may, through further chronological and spatial distancing from their original context, become fantasies. This tentative framework is used to analyse how the local reputation of Biddy Early, a well-known nineteenth-century “wise woman” of County Clare, Ireland, spread—originally through the work of Lady Gregory, in particular—to become first national, then international and, finally, in the age of the Internet, global. In the course of this long process, first-hand reports of her skills and powers eventually became transformed into free-floating marketing devices and New Age fantasies.     

The Politics of Subjectivity in Vangelis Raptopoulos’s Urban Stories

In this article I offer a critical analysis of the spatial cultures of modern Athens through the urban portraits presented in three fictive stories by Vangelis Raptopoulos—“At the Bottom of the Sea” (Sto Vytho), “One-Way Street” (Monodromos), and “Long-Distance Call” (Yperastiko)—from his 1995 collection “In Pieces” (Kommatakia). I argue that by constructing first-person fictive narratives, written in confessional prose, Raptopoulos problematizes the notion of subjectivity in its varying relationships to modern urban and spatial cultures. My main focus is on the practice of subjective recitations of urban space in view of the narrator’s experiences of imaginative and physical spatial appropriation. I argue that these experiences and the fragmentary style, through which they are conveyed in the stories, are an incisive critique of the official planning practices of urban public space and prescribed practices of spatial mobility. By drawing on the critical-philosophical and critical-historical literature, with particular reference to Benjamin, Foucault, Lefebvre, and de Certeau, this article contributes to the broader critique of the politics of subjectivity in modern Europe.     

Spatial and Sectoral Characteristics of Relational Capital in Innovation Activity

The paper presents prima facie evidence of the role of relational capital in innovation activities, and underlines the spatial and sectoral difference of the effects of relational capital on innovation processes. Relational cpaital is defined in this paper as the stock of relations that a firm can entertain with other firms, institutions, research centres, measured through the intensity of cooperation among local actors. The paper is structured in two parts. In the first part, a review on the literature is presented, and the similarities and differences between the concept of relational capital and the more common concept of knowledge spillovers is underlined. In the second part, the empirical results of the analysis are presented; the empirical analysis is based on a database of 133 firms' observations, located in different geographical areas. With a quantitative approach, the paper replies to the following key questions: Is relational capital a determinant for innovation activities? If it is so, does it have the same role in urban and non-urban areas? Does it have a different role in specialized and despecialized areas? The empirical results to these questions help in understanding whether it is true that competitive city regions in the global economy are the major locations for relatively exclusive knowledge and learning resources. The paper shows that if relational capital plays a role in innovation activities, it may very well be that its role strongly depends on the sectoral as well as the spatial characteristics in which the innovation process takes place. Non-urban areas characterized by strong local synergies and highly specialized activities may even be more facilitated in their inovation activity.     

EXPLAINING THE VARIATION IN THE EMPIRICAL ESTIMATES OF ACADEMIC KNOWLEDGE SPILLOVERS*

ABSTRACT This paper presents a meta‐regression analysis of the empirical studies exploring the relationship between academic knowledge spillovers and regional innovation. The results of the literature are found to depend on country effects, the level of geographical aggregation employed, the method of measuring innovative output, the use of industry‐level data, and on the sectoral composition of the sample. Endogeneity, sample selection, and agglomeration forces are further elements that explain the findings on this issue but only weak evidence, after controlling for publication bias, supports the existence of a genuine spillover effect of university research on regional innovation.     

Regional Externalities And Growth: Evidence From European Regions*

Abstract. This paper models externalities of production across regional economies. Under the assumption that knowledge diffuses without political or administrative barriers, we derive externalities that affect the steady state and the process of growth of each economy. The empirical counterpart of the reduced form equation summarizing the process of growth allows us to test for the presence of regional spillovers and to measure their magnitude. Our results for a sample of European regions show that spillovers are far from negligible, are robust to the consideration of variables within each region, and may cause nondecreasing returns at the spatial aggregate level. The paper also relates previous empirical evidence on spatial dependence in growth studies to the externalities modeled here.