Regional price deflators in Poland: evidence from NUTS-2 and NUTS-3 regions

This paper analyzes regional price differentials in Poland at the NUTS-2 and NUTS-3 levels. It applies unique raw-price data and calculates regional purchasing power parity (PPP) deflators for the 16 NUTS-2 regions. It then estimates PPP deflators for the 66 NUTS-3-level regions by applying the multiple imputation approach. Finally, it verifies whether these are intra- or interregional price inequalities that have a greater influence on the overall price inequality level. It is found that the price levels are significantly higher than the average in the better-developed regions and lower in the lagging ones. It is also found that it is the intra- rather than the interregion differentials that influence more the overall inequality level.     

Efficiency of Regional Public Investment: An NPV-Based Spatial Econometric Approach

This paper develops a new methodology of spatial econometric modelling for regional public investment in local economies. The approach, based on the financial concept of net present value of cash flows, can be applied in the analysis of regional public investment with long-term financial inputs and outputs. With local public revenues related to spending in the model, one can observe economies of scale of investment with possible saturation effects and a marginal investment multiplier, explaining the extent to which public investment costs translate into public revenues. The main advantage of the proposed model is to behave counter-cyclically due to accumulation over the periods and to cover multi-period investments as well as postponed effects. This paper gives an example of public investment efficiency in Polish NUTS-5 municipalities regions.     

A heterogeneous coefficient approach to the knowledge production function

Past literature has used conventional spatial autoregressive panel data models to relate patent production output to knowledge production inputs. However, research conducted on regional innovation systems points to regional disparities in both regions’ ability to turn their knowledge inputs into innovation and to access external knowledge. Applying a heterogeneous coefficients spatial autoregressive panel model, we estimate region-specific knowledge production functions (KPFs) for 94 NUTS-3 regions in France using a panel covering 21 years from 1988 to 2008 and four high-technology industries. A great deal of regional heterogeneity in the KPF relationship exists across regions, providing new insights regarding spatial spillin and spillout effects between regions.     

Raising the bar (7)

This editorial summarises the papers published in issue 13.1 so as to raise the bar in applied spatial economic research and highlight new trends. The first paper adopts a scale neutral approach to investigate the spatial mechanisms that cause regional innovation and growth. The second paper claims that population-weighting when calculating indices of regional inequality might lead to inconsistent outcomes. The third paper estimates the effect of distance between family residence and higher education institution on a student's academic performance, thereby accounting for endogenous regressors. The fourth paper shows an inverted U-shaped relationship between economic development at region of origin and the propensity to migrate using a multilevel approach. The fifth paper provides spatial econometric evidence of price competition between sellers of used books on Amazon.com. The last paper estimates a hedonic housing price equation and parameterizes the spatial weight matrix to determine how far back in time buyers, sellers and realtors are looking at the housing market.     

Bayesian Variable Selection in Spatial Autoregressive Models

This paper compares the performance of Bayesian variable selection approaches for spatial autoregressive models. It presents two alternative approaches that can be implemented using Gibbs sampling methods in a straightforward way and which allow one to deal with the problem of model uncertainty in spatial autoregressive models in a flexible and computationally efficient way. A simulation study shows that the variable selection approaches tend to outperform existing Bayesian model averaging techniques in terms of both in-sample predictive performance and computational efficiency. The alternative approaches are compared in an empirical application using data on economic growth for European NUTS-2 regions.     

European Regional Development Fund and pro-environmental behaviour. The case of Italian separate waste collection

The purpose of this paper is to analyse the impact of European Regional Development Fund (ERDF) regulations over two programming periods (2000–2006 and 2007–2013) in terms of separate waste collection rates of Italian regions. We analyse longitudinal data for 20 NUTS-2 Italian regions over two EU policy cycles (2000–2006 and 2007–2013), by means of a Difference-in-differences estimation method. The estimates suggest that ERDF regulations in both programming periods had no relevant impact on the achievement of cohesion policy goals for separate collection at the regional level. Subsequently, we analyse data for 103 NUTS-3 Italian provinces over 2000–2013 by means of two statistical tools: The Theil index (TI), and the Moran index (MI), and find that proximity effects at provincial scale cause positive social contagion of pro-environmental attitudes toward separate collection. Our results make a case for the relevance of ‘cultural’ policy measures fostering environmentally responsible attitudes as a possible pre-condition for effective implementation of ERDF-funded separate collection projects in low-performing regions.     

Regional difference in total factor productivity and spatial features : Empirical Analysis on the Basis of a Sectoral Translog Production Function

This paper applies a sectoral production function of translog type to Japanese regional data, introducing the variables of spatial attributes as the determinants of the technological level in the region, and thereby analyses the regional difference in total factor productivity.     

Social capital and well-being in the Italian provinces

Recent years witnessed a growing interest in the concept of well-being and quality of life, as alternative to the Gross Domestic Product (GDP). The determinants of well-being, especially at the regional and provincial levels, is understudied in a macro perspective, as opposed to a micro perspective (individuals, survey data) that has been the dominant approach until recently. In this paper, we estimate an empirical model for the Italian NUTS-3 provinces to evaluate the role of social capital on well-being by using aggregated (provincial) data. Our findings suggest that social capital, social security programs, income, and grant-making activities by Bank Foundations, even though not uniformly distributed across Italy, positively affect well-being, thus contributing to explain the persistent dualism that characterizes the Italian economy.     

Spatial accounting methods and the construction of spatial social accounting matrices

The paper examines modifications to Regional Accounts used to construct regional and interregional Social Accounting Matrices (SAMs). It is argued that as the size of the basic areal unit used in studies declines, more traditional accounting approaches are no longer satisfactory. A three-dimensional spatial approach (termed two-by-two-by-two) to the identification of fundamental dimensions (commodity and factor market; geographical; and social accounts) has been developed in contrast to the more traditional non-spatial approach (termed two-by-two). This involves a novel approach using the geographical concepts of place of production for production activities, place of residence for institutions, marketplace for commodities and marketplace for factors. The use of these concepts permits accounting balances to be calculated at the spatial level. The theoretical basis of the spatial regional accounting model is presented and an example of the construction of a Danish Interregional SAM (SAM-K) is examined. Particular attention is given to data requirements, showing that these are much more modest than generally assumed.     

Regional innovation disparities in Italy: The role of governance

This paper analyses the link between institutional quality and innovation for 103 Italian NUTS-3 provinces during the 2004–2012 period, providing fresh evidence for a country with great disparities in both aspects. Results suggest that institutional quality largely drives innovation performance across provinces, and to some extent it contributes to explain the great North-South Italian divide in terms of innovation. The findings are robust to the inclusion of spatial spillovers and to the control of potential endogeneity. Moreover, we find uneven effects for different levels of institutional quality and for its distinct pillars. These results can be useful for the design of more specific innovation policies.     

Regional energy efficiency and its determinants in China during 2001–2010: a slacks-based measure and spatial econometric analysis

Carbon dioxide (CO₂) emissions are largely driven by fossil fuels. To reduce CO₂ emissions in China, it is important to determine influential factors of energy efficiency. This paper introduces a slacks-based measure window analysis approach to evaluate regional dynamic energy efficiency during 2001–2010, and then explores energy efficiency determinants by considering spatial effects, which is conducted based on spatial econometric models. The empirical results show that there exist evident spatial correlations between regional energy efficiencies in China. We find that, there exist evident disparities in cumulative effects of energy efficiency among the eastern, central and western areas. Interestingly, significant energy efficiency spatial spillovers can be clearly found between regions within the western area and across the eastern and western areas. It is found that, energy structure, energy price, railway transportation development and R&D stock are significant at national level. However, energy structure and railway transportation development are insignificant in the central and western areas, while energy price and R&D stock are insignificant in the eastern and central areas, respectively. Industrial structure and urbanization level are found to be insignificant at national level, but industrial structure is significant in the eastern and western areas, and urbanization level is significant in the central and western areas. Surprisingly, industrial structure and urbanization level are found to have positive impacts on energy efficiency in the western area. In addition to regional disparities and local conditions, policies making should take efficiency spatial spillovers into consideration. Several interesting policy implications are achieved.     

Measuring Regional Economic Resilience across Europe: Operationalizing a complex concept

This paper describes an approach developed to measure regional economic resilience across Europe which is novel in three key dimensions. Firstly, it seeks to date regional downturns as opposed to assuming that all regional economies are affected by economic shocks at the same point in time; secondly, it measures the amplitude and duration of economic downturns and subsequent recoveries; and thirdly, as well as measuring recovery, it measures the resistance of regional economies to economic shocks. The paper applies this methodology to selected European countries to provide an analysis of differential regional responses to several economic shocks since the early 1990s. The paper then reflects upon the utility of this methodology for operationalizing regional economic resilience in cross-comparative studies.     

Economic freedom at metropolitan statistical area borders

This paper applies a variation on differences-in-differences to the effects of economic freedom in matched bordering metropolitan statistical areas using the Metropolitan Economic Freedom Index. While a great deal of research has explored the relationship between economic freedom and economic performance, less has been done at the local level. We find that economic freedom has a positive effect on several measures of economic performance, but no effect on population.     

The effects of the frequency of spatially proximate and distant interaction on innovation by Irish SMEs

This paper tests whether more frequent interaction at different spatial levels has a positive effect on the innovation performance of small- and medium-sized enterprises (SMEs) in the South-West and South-East of Ireland. Based on an original survey, it finds that more frequent interaction generally increases innovation likelihood, but at a diminishing rate, thus suggesting a trade-off between resources dedicated to transforming knowledge into new products and processes. Spatially distant interaction is found to be at least as valuable as proximate interaction, which questions the received wisdom that the best sources of knowledge are regional. Given the value of distant interaction, the results indicate that regional lock-in may be an obstacle to superior innovation performance of SMEs.     

The spatial dynamics of new firm births during an economic crisis: the case of Great Britain, 2004–2012

Abstract

Spatial variations in entrepreneurial activity have been shown to be a time persistent phenomenon in many countries. This paper analyses how these spatial variations have been affected by the recent financial crisis within the context of theories of regional resilience and adaptability. The analysis applies Exploratory Spatial Data Analysis techniques to data on firm births across Local Authority Districts of Great Britain during the period 2004–2012. The results demonstrate that, whilst the overall shape of the spatial distribution of firm births remained persistent, there is evidence of an increase in regional inequality. This is primarily associated with a divergence between London and the rest of the distribution. London, together with part of its surrounding area, appears to constitute a resilient entrepreneurial regime that has generated a dynamic, adaptive response to the crisis with high rates of new firm formation in contrast to other regions which have remained locked into lower rates of entrepreneurship. This supports the view that regional entrepreneurship is a path dependent process: entrepreneurial regions are more adaptable to the effects of an exogenous shock than less entrepreneurial regions. Accordingly, entrepreneurship is a critical factor influencing the resilience of regions in responding to an economic crisis.     

Reducing omitted-variable bias in spatial-interaction models by considering multiple neighbourhoods

ABSTRACT

A major challenge in the analysis of micro-level spatial interaction is to distinguish actual interactions from the effects of spatially correlated omitted variables. We propose extending the simple spatially lagged explanatory (SLX) model to include two spatial weighting matrices at different spatial scales to reduce omitted-variable bias. The approach is suitable when actual interaction takes place on a smaller local level, while the omitted variables are spatially correlated at a larger regional level and correlated with the included characteristics. We provide an empirical motivation and use Monte Carlo simulation to illustrate the bias-reduction effects in certain settings.     

MODELS OF REGIONAL GROWTH: PAST,PRESENT AND FUTURE

Abstract This paper presents an overview of various models of regional growth that have appeared in the literature in the last 40 years. It considers the past, and therefore supply‐side models, such as the standard neoclassical, juxtaposed against essentially demand‐side approaches such as the export‐base and cumulative causation models (as integrated into the Kaldorian approach); before moving on to the ‘present’ and more recent versions of the neoclassical model involving spatial weights and ‘convergence clubs’, as well as new economic geography core–periphery models, and the ‘innovation systems’ approach. A key feature of the more recent literature is an attempt to explicitly include spatial factors into the model, and thus there is a renewed emphasis on agglomeration economies and spillovers. Discussing ‘present’ and ‘future’ approaches to regional growth overlaps with the current emphasis in the literature on the importance of more intangible factors such as the role of ‘knowledge’ and its influence on growth. Finally, there is a discussion of the greater emphasis that needs to be placed at the ‘micro‐level’ when considering what drives growth, and thus factors such as inter alia firm heterogeneity, entrepreneurship and absorptive capacity.     

中国区域智能制造发展水平评价研究

本文基于智能制造的五维内涵特征,采用潜因子模型,对中国区域智能制造发展水平进行测量,结果表明:2012~2017年,上海市成为智能制造实力最强的区域,浙江省传统产业占优,智能制造表现亦不凡;全国大部分区域智能制造发展水平呈现上升,东部区域最为明显,区域智能制造业空间极化格局恐进一步加大;2015年后,区域智能制造发展呈现加速。据此,推进区域制造业发展的启示在于:完善配套环境;运用新技术模式改造传统产业;大力推进欠发达区域智能制造发展。     

CONVERGENCE OF BLACK HOUSEHOLD INCOME IN LARGEST U.S. CITIES.

This paper investigates the widening (divergence) or narrowing (convergence) of black income as well as black income proportionate to all income using median family income over the 1980s. Analysis is undertaken at the regional level using the coefficient of variation and analysis of variance, and at the city level using a linear model. The linear model, in addition to providing a measure for divergence or convergence, provides a measure of residual change which distinguishes city performance above or below expectation. At the regional level, the general result is divergence of black income born 1979 to 1989, while at the city level, the general results were divergence for black income, but a convergence in black income proportionate to all income.     

东部沿海后发地区的省域赶超战略与发展导向

2000-2009年期间,按总量和人均GDP测度的离散系数(CV)①表明:2005年后,东部沿海省份的省域内发展差距正趋于缩小,省域经济呈现均衡化发展的新格局.在宏观政策、区域大交通建设和省域产业转移等因素的作用下,沿海后发地区表现出群体性的经济赶超趋势,并在不同政府层级的政策意图交汇下,形成了一种"省域内赶超"的经济...