A spatial econometric analysis of the regional growth and volatility in Europe

Based on a sample of 1,084 European regions (EU15) from 1995 to 2004, we estimate the relationship between the average growth rate of GDP per capita and the volatility of the growth rate allowing for spatial effects. The spatial lag and spatial error models show that the regional per capita growth rate and volatility are significantly positively related on average. However, the inclusion of country interaction terms reveals that the volatility impact is not uniform across countries. In particular, the relationship between growth and volatility is significantly positive for the majority of countries but significantly negative for three countries (namely Finland, Italy, and Ireland).

Technological leadership and sectorial employment growth: A spatial econometric analysis for U.S. counties

This paper studies the determinants of technological catch‐up considering spatial and sectoral aggregation of industries. We investigate how geographical and technological proximity to the technology leader impact regional employment growth. We model technological progress by means of a hierarchical process of catch‐up to the technology leader. We also incorporate measures for knowledge spillover effects to test the roles of competition, specialisation, and diversity at the industry level. Empirical results using data at the county level for different economic sectors (2‐dig NAICS) for the United States indicate that human capital plays a crucial role in promoting sectoral employment growth. The association between technological/geographical distance to the technology leader and employment growth varies across sectors.     

The typology of technology clusters and its evolution — Evidence from the hi-tech industries

Clustering is one of the key drivers for regional economic growth. Development of clusters is a dynamic process shaped by a variety of internal and external factors such as availability of skilled labor, presence of functioning networks and partnerships, technological changes, and market competition, etc. As a result, the patterns of cluster growth may differ from one another. Although each cluster is unique in some way, previous research has attempted to identify few simplified models of evolution of clusters. In this study, we briefly reviewed the literature on a variety of models of clusters. Based on these models, we investigated 15 hi-performing metropolitan-based clusters in the United States, covering communications equipment manufacturing, information technology, and biopharmaceutical industries, in order to find out the similarities and differences between real-world clusters. Specifically, by examining the composition of these high-tech clusters, we attempted to find out the following: 1) What are the typologies of these technology clusters? 2) Whether different industries tend to support different cluster typologies? and 3) How do clusters change their typologies over time? Our analysis results suggest that the real-world clusters rarely feature any single type of typology; a mixed type of typology is much more prevalent in reality.We also found that different industries tend to support different types of cluster typologies. In other words, an individual cluster's typology is to some extent shaped by the industry group it belongs to. In addition, we note that, as a cluster goes through different stages of its lifecycle, its typology may change significantly.     

A generalized method of moments estimator for a spatial model with moving average errors, with application to real estate prices

This paper proposes a new GMM estimator for spatial regression models with moving average errors. Monte Carlo results are given which suggest that the GMM estimates are consistent and robust to non-normality, and the Bootstrap method is suggested as a way of testing the significance of the moving average parameter. The estimator is applied in a model of English real estate prices, in which the concepts of displaced demand and displaced supply are introduced to derive the spatial lag of prices, and the moving average error process represents spatially autocorrelated unmodelled variables.      

Corruption in space: A closer look at the world's subnations

Corruption levels differ not only between but also within countries. In this paper we analyze spatial interdependencies in corruption levels for a large sample of 1232 subnational regions from 81 countries. Based on a spatial autoregressive model, which controls for country-fixed effects and corrects for spatial autocorrelation in the error term, we find that a subnational region's corruption level is positively correlated with neighboring subnational regions' corruption levels. Extending the core model and allowing for heterogeneous spatial effects, we find that most spillovers among subnational regions occur within national borders. Moreover, in particular high income subnational regions and subnational regions with relative low corruption levels tend to spill in space. This is due to their high degree of connectivity in terms of economic, sociocultural and political exchange with other subnational regions. Our estimation results underline the importance to consider not only a subnational region's own characteristics, but also spatial interdependencies when implementing efficient anti-corruption policies at the local level.     

The proper panel econometric specification of the gravity equation: A three-way model with bilateral interaction effects

We argue that the proper specification of a panel gravity model should include main (exporter, importer, and time) as well as time invariant exporter-by-importer (bilateral) interaction effects. In a panel of 11 APEC countries, the latter are highly significant and account for the largest part of variation. First version received: February 2001/Final version received: June 2002 RID="*" ID="*"  We are grateful to two anonymous referees and Robert Kunst for their helpful comments.     

On the evolution of the spatial economy with multi-unit · multi-plant firms: the impact of IT development

This paper examines how the decline of communication costs between management and production facilities within firms and the decrease in trade costs of manufactured goods affect the spatial organization of a two-region economy with multi-unit·multi-plant firms. The development of information technology decreases the costs of communication and trade costs. Thus, the fragmentation of firms is promoted. Our result indicates that, with decreasing communication costs, firms producing low trade-cost goods (such as electronics products) tend to concentrate their manufacturing plants in low wage countries. In contrast, firms producing high trade-cost products (such as automobiles) tend to have multiple plants serving to segmented markets, even in the absence of wage differentials.Received: November 2004, Accepted: March 2005, JEL Classification: F12, L13, R13Masahisa Fujita: Correspondence toWe are very grateful to J. Vernon Henderson, J. Pedro Pontes and Koumei Sasaki for helpful comments.     

The spatial econometric analysis of the impact of internet on provincial innovation in China

Researches in the impact of the information technology on R&D activities have been noticed since this century to provide a foundation for the relationship between information technology and R&D activities.Using methods of spatial econometrics,this paper examines the impact of Internet on innovation and its spatial spillovers between Chinese provinces over 2001-2007.This paper find that Internet plays an important role in innovative activities,and spatial spillovers of the provinces to its neighbors are positive but weak when spatial effect of endogenous spatial lag variable is taken into consideration.     

Errors in variables and spatial effects in hedonic house price models of ambient air quality

In the valuation of the effect of improved air quality through the estimation of hedonic models of house prices, the potential “errors in variables” aspect of the interpolated air pollution measures is often ignored. In this paper, we assess the extent to which this may affect the resulting empirical estimates for marginal willingness to pay (MWTP), using an extensive sample of over 100,000 individual house sales for 1999 in the South Coast Air Quality Management District of Southern California. We take an explicit spatial econometric perspective and account for spatial dependence and endogeneity using recently developed Spatial 2SLS estimation methods. We also account for both spatial autocorrelation and heteroskedasticity in the error terms, using the Kelejian–Prucha HAC estimator. Our results are consistent across different spatial weights matrices and different kernel functions and suggest that the bias from ignoring the endogeneity in interpolated values may be substantial. This paper is part of a joint research effort with James Murdoch (University of Texas, Dallas) and Mark Thayer (San Diego State University). Their valuable input is gratefully acknowledged. The research was supported in part by NSF Grant BCS-9978058 to the Center for Spatially Integrated Social Science (CSISS), and by NSF/EPA Grant SES-0084213. Earlier versions were presented at the 5th International Workshop on Spatial Econometrics and Statistics, Rome, Italy, May 2006, the 53th North American Meetings of the Regional Science Association International, Toronto, ON, Nov. 2006, the 2007 Meetings of the Allied Social Science Assocations, Chicago, IL, Jan 2007, and at departmental seminars at the University of Illinois. Comments by discussants and participants are greatly appreciated. A special thanks to Harry Kelejian for his detailed and patient clarification of the HAC estimator. The usual disclaimer holds.     

The effect of forest land use on the cost of drinking water supply: A spatial econometric analysis

Forest land use is often associated with the protection of water resources from contamination and the reduced cost of drinking water supply. This study attempted to measure the value of the forest on the quality of water resources from a contingent market, namely drinking water supply, by estimating variations in drinking water costs as a function of variations in land uses. Spatial correlations were taken into account because of the use of different geographical scales (i.e., water service area and land uses) and the potential existence of organizational and technological spillovers between water services. We found a significant negative effect of forest land use on water costs. We found no evidence of spatial spillovers concerning the management regime but did find that factors related to the scarcity of resources in neighboring water services have an impact on water costs.     

Difficulties for small firms to invest in research prerogatives. An empirical analysis of a sample of Italian firms

It is a commonly accepted fact that a quite strong relation exists between research investments and the general wealth of a given area. The main goal of this study is to analyse and determine which financing sources better serve this need for innovation, taking a sample of 1000 private firms in current economic downturn. Small firms from Southern Italy often have no access to debt capital on nondeterministic research activities, and more importantly, it still seems like banks cannot afford to finance these kinds of operations, mainly because of their indeterminate nature. This research draws the conclusion that only self-evidently solvent firms have a chance of getting the financial help needed to innovate.     

Regional productivity variation and the impact of public capital stock: an analysis with spatial interaction,with reference to Spain

In this article, we examine whether variations in the level of public capital across Spain's Provinces affected productivity levels over the period 1996 to 2005. The analysis is motivated by contemporary urban economics theory, involving a production function for the competitive sector of the economy (‘industry’) which includes the level of composite services derived from ‘service’ firms under monopolistic competition. The outcome is potentially increasing returns to scale resulting from pecuniary externalities deriving from internal increasing returns in the monopolistic competition sector. We extend the production function by also making (log) labour efficiency a function of (log) total public capital stock and (log) human capital stock, leading to a simple and empirically tractable reduced form linking productivity level to density of employment, human capital and public capital stock. The model is further extended to include technological externalities or spillovers across provinces. Using panel data methodology, we find significant elasticities for total capital stock and for human capital stock, and a significant impact for employment density. The finding that the effect of public capital is significantly different from zero, indicating that it has a direct effect even after controlling for employment density, is contrary to some of the earlier research findings which leave the question of the impact of public capital unresolved.     

The driving forces of the change in China's energy intensity: An empirical research using DEA-Malmquist and spatial panel estimations

Energy shortage and environmental degradation have become significant hurdles for China's sustainable development nowadays. One of the most efficient and effective ways to ease energy shortage is to sufficiently reduce energy intensity. In the extant literature on the influential factors of China's energy intensity, the regional imbalance and spatial spillover effects were basically ignored, which may yield to biased and unreasonable results. As a result, in this paper, the driving forces of China's provincial energy intensity were for the first time investigated by combining the Data Envelopment Analysis (DEA)-Malmquist and spatial panel approaches for the period between 2000 and 2014. The results indicate that technological progress plays a dominant role in decreasing China's overall energy intensity. In both the Eastern and Central regions, the technological progress and its components can decrease energy intensity, while this effect doesnot significantly exist in the Western region. Rapid industrialization should be responsible for China's currently high energy intensity, while energy price hiking is conducive to the decrease in energy intensity. Moreover, there is also clear evidence that these factors influence on energy intensity partly through the spatial spillover effects.     

A spatial taxonomy of broadband regions in the United States

The steady growth of broadband penetration in the United States is indicative of a major shift in advanced data services and last-mile infrastructure in the deregulated telecommunication environment. Although there are concerns with the equitable provision of broadband services in urban, rural and remote areas, the diffusion process has also created a unique landscape of broadband availability that reflects elements of competition, federal policy, local government initiatives, technological limitations and location. This paper explores the dynamic and diverse spatial landscape of broadband availability in the United States at the zip code level, for 2004. In addition, this study provides a multivariate, spatial taxonomy of broadband regions, highlighting their socioeconomic and demographic differences.     

Exploratory spatial data analysis of the distribution of regional per capita GDP in Yangtze Delta, China: 1994-2004

Based on the spatial economy theory and the exploratory spatial data analysis (ESDA) technology, this paper studies the space-time dynamics of regional per capita GDP in the Yangtze Delta. A sample of 74 regions in the Yangtze Delta over the period of 1994 to 2004 provides clear evidence of global and local spatial autocorrelation as well as spatial heterogeneity in the distribution of regional per capita GDP The dynamism of regions is investigated by exploring the spatial pattern of regional growth, compared with that before 1997, the economic growth disparities among Shanghai, Zhejiang and Jiangsu provinces have decreased, so have the inside regions of Zhejiang Province, while it is opposite to the inside regions of Jiangsu Province.     

Amenity values of spatial configurations of forest landscapes over space and time in the Southern Appalachian Highlands

This research analyzes amenity values of spatial configurations of forest landscapes over space and time in the Southern Appalachian Highlands using geographically weighted regression (GWR) in a hedonic housing-price framework with a census-block group (CBG) dataset. Results show that housing-price response to mean forest-patch size and forest-patch density increased substantially between 1990 and 2000 in a few specific areas with economically significant amenity values. The spatial and temporal dynamics of the resulting amenity-value estimates are evaluated for potential use as site-selection indicators for implementation of forest conservation programs.     

Is debt conservatism the solution to financial constraints? An empirical analysis of Japanese firms

ABSTRACT

This paper investigates why firms choose the conservative financing strategy known as non-positive net debt policy, which is a more recent prevalent trend among Japanese firms. The analysis reveals that Japanese firms are more likely to be financially conservative if they are smaller, older and more profitable and have fewer growth opportunities and tangibility. The survival analysis further investigates the duration of conservative debt policy and ordinary debt policy. The evidence shows that firms adopt/abandon the conservative policy with different motivations and preferences over debt conservatism. In particular, we argue that the more financially constrained firms abandon the conservative debt policy sooner than their counterparts, while less financially constrained firms abandon the ordinary (less conservative) debt policy sooner than their counterparts. The results suggest that a firm uses a conservative debt policy in terms of net leverage as a temporary buffer to mitigate financial constraints.     

Exploring the role of human resources in technology out-licensing:an empirical analysis of biotech newtechnology-based firms

Out-licensing is a technology exploitation option to generate revenues without investing in downstream complementary assets. Despite its increasing strategic relevance, the strong complexity of out-licensing activity determines a substantial discrepancy in firms’ ability to extract monetary benefits from this practice. Searching for determinants of out-licensing performance, the paper focuses in particular on the role of licensing managers. Based on a multiple case study analysis involving 26 out-licensing deals executed in seven Italian biotech NTBFs, the study shows that expert scientific skills, extensive licensing practice and prior employment in multinationals, but not an intense social network, characterise successful licensing managers, while high delegation and powerful intrinsic rewards enable individual capacities of licensing managers to translate into actual economic value.