Beyond GDP: an analysis of the socio-economic diversity of European regions

ABSTRACT

This paper aims to analyze the socioeconomic diversity of the European Union (EU-28) regions from a dynamic perspective. For that purpose, we combine a series of exploratory space-time analysis approaches to multiple Factor Analysis (MFA) applied to a large range of indicators collected at the NUTS-2 level for the period 2000–2015 for the EU-28. First, we find that the first factor of MFA, interpreted as economic development (ECO-DEV), is spatially clustered and that a moderate convergence process is at work between European regions from 2000 to 2015. Second, when comparing these results with those obtained for Gross Domestic Product (GDP) per capita, we show that the convergence pattern detected with GDP per capita is more pronounced: ECO-DEV adjusts slower over time compared to GDP per capita. Third, pictures provided by the remaining interesting factors, capturing educational attainment, population dynamics and employment, are very different.     

Spatial shift-share analysis versus spatial filtering: an application to Spanish employment data

The aim of this work is to analyse the influence of spatial effects in the evolution of regional employment, thus improving the explanation of the existing differences. With this aim, two non-parametric techniques are proposed: spatial shift-share analysis and spatial filtering. Spatial shift-share models based on previously defined spatial weights matrix allow the identification and estimation of the spatial effects. Furthermore, spatial filtering techniques can be used in order to remove the effects of spatial correlation, thus allowing the decomposition of the employment variation into two components, respectively related to the spatial and structural effects. The application of both techniques to the spatial analysis of regional employment in Spain leads to some interesting findings and shows the main advantages and limitations of each of the considered procedures, together with the quantification of their sensitivity with regard to the considered weights matrix.     

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.     

Inflation persistence during periods of structural change: an assessment using Greek data

The paper estimates inflation persistence in Greece from 1975 to 2003, a period of high variation in inflation and changes in policy regimes. Two empirical methodologies, univariate autoregressive (AR) modelling and second-generation random coefficient (RC) modelling, are employed to estimate inflation persistence. The empirical results from all the procedures suggest that inflation persistence was high till 1996, while it started to decline after 1997, when inflationary expectations seem to have been stabilised, and thus, monetary policy was effective at reducing inflation. Empirical findings also detect a sluggish response of inflation to changes in monetary policy. This observed delay seems to have changed little over time.

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.     

Decomposition analysis of consumers' demand changes: an application to Greek consumption data

A decomposition analysis for consumer demand functions is developed. Changes in Marshallian demand or expenditure shares functions over time are decomposed into a total substitution effect, an income effect, and a habit effect. This framework is applied to post-war Greek consumption patterns through a habit persistence version of the Quadratic Almost Ideal Demand System (QUAIDS). It is found that for all commodity categories (i.e., food, beverages and tobacco, footwear and clothing, settling and housing, and others) the income effect was the main driving force in explaining changes in both quantity demanded and expenditure shares, followed by habit and total substitution effects.     

Estimating exchange rate dynamics with diffusion processes: an application to Greek EMU data

Recently various exchange rate models capturing the dynamics during the transition from an exchange rate arrangement of floating rates into a currency union have been derived. Technically, these stochastic equilibrium models are diffusion processes which have to be estimated by discretely sampled observations. Using daily exchange rate data prior to the Greek EMU-entrance on 1 January 2001, we develop a rigorous estimation procedure. Our estimates point to an increasing interventionist economic policy in the run-up to the Greek EMU entrance. A comparison of this econometric indication with policy information provided (ex-post) by the Bank of Greece (BoG) in its Annual Report 2000 reveals that the BoG indeed pursued such an active policy stance (so-called institutional frontloading strategies).      

Farewell Anatolia: Refugees & the rise of the Greek Left

The population exchange of 1923 between Greece and Turkey consolidated the influx of more than 1.5 million refugees from Anatolia and East Thrace into Greece. In this article, we exploit the regional distribution of refugees at the sub-prefectural (province) level as a natural experiment in order to delineate the political effects of what the Greeks call the Asia Minor Catastrophe. We find that the settlement of refugees produced positive persistent effects on the electoral share of left-wing parties in the interwar and postwar periods. This is particularly the case for provinces with a high settlement rate of refugees originating from Asia Minor rather than from East Thrace or the Black Sea region. However, the refugee impact on the left-wing vote disappears completely in the post-dictatorship period.     

The participation decision versus the level of participation in an environmental treaty: a spatial probit analysis

This paper represents treaty participation as a two-stage game, for which nations first decide whether or not to participate and then they choose their level of participation. The resulting subgame perfect equilibrium is used to derive a reduced-form equation for estimating and separating the influences of the variables at the two decision stages. This spatial probit equation forms the basis for a full-information maximum likelihood estimator that accounts for the simultaneity bias associated with public good spillins at both stages. When the procedure is applied to the Helsinki Protocol, we find that the strategic influence of a variable may drastically differ depending upon which stage is scrutinized.     

Hedonic price indexes and the distribution of buyers across the product space: an application to mainframe computers

In this article we present the Silverman multimodality test and mixture distributions methodology, applying both approaches to the Survey of Economic Expectations of the Central Bank of Chile. The main results reflect the importance of a permanent monitoring of the complete distributions and not just central tendency meausures as is the practice in many central banks currently. We find that the forecasts of the private professional forecasters have systematically been in line with the inflation targeting range, although during episodes where the effective inflation proved to be outside the target range.     

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.      

Simulating the spatial distribution of population and emissions to 2100

Urbanization and economic development have important implications for many environmental processes including global climate change. Although there is evidence that urbanization depends endogenously on economic variables, long-term forecasts of the spatial distribution of population are often made exogenously and independent of economic conditions. It is common for research concerning long-run projections of global environmental change to use population density as the primary means to spatially distribute emissions projections. However, researchers typically utilize year 1990 cross-sectional population data to distribute their emissions projections for both the short- and long-term, without projecting any changes in population density. Thus, a beta distribution for individual countries/regions is estimated to describe the geographical distribution of population using a one-degree-by-one-degree latitude–longitude global population data set. Cross-sectional country/regional data are then used to estimate an empirical relationship between parameters of the beta distribution and macroeconomic variables as they vary among countries/regions. This conditional beta distribution allows the simulation of a changing distribution of population, including the growth of urban areas, driven by economic forecasts until the year 2100.     

An exercise in composite indicators construction: Assessing the sustainability of Italian regions

This paper presents a piece of research aimed at evaluating the relative sustainability of the Italian Regions. After selecting a core set of indicators, for which we referred to the EU Sustainable Development Strategy, we built a composite index and checked for its robustness. As a result we got ‘many numbers’, that is, a range of possible rankings for Italian Regions.     

Costs,knowledge and market structure: understanding the puzzle of international competitiveness with Greek export data

This is an analysis of the sources of international competitiveness with Greek export data for the period 1987–2007. The framework used in the study incorporates factors that do not only represent cost competitiveness but also shed light on the determinants of economic complexity. Economic complexity is the amount of knowledge capabilities embodied in exports that indicates – as a source of comparative advantage – the ability for product differentiation and product variety. The empirical analysis shows that industries benefit substantially from their own R&D activity but, owing to weak economic complexity in the country, there are no cross-industry knowledge spillovers (both at national and international level) that can benefit export activity. Greek exports were found to be sensitive to relative unit labour costs (RULC) but the most important export component of this index is relative labour productivity and not labour cost. Not all institutional arrangements have the same impact on exports, for example high trade union density might harm competitiveness but this factor is uncorrelated with R&D investment. In the view of these findings, Greece’s route to international competitiveness should be primarily by improving its economic complexity, making sure that the country specialises in productive activities that enrich its knowledge capabilities as well as increase the potential of knowledge transfer.     

The geography of market failure: Edge-effect externalities and the location and production patterns of organic farming

Perceptions of increasing land scarcity and negative impacts of chemical-based agriculture have led to increasing concern regarding the sustainability of food systems. Incompatible production processes among farming systems may lead to spatial conflicts and production losses between neighboring farms, and the magnitude of such losses may depend not only on the scale of each activity, but also on patterns of land use. Such conflicts can be classified as “edge-effect externalities”—spatial externalities whose marginal impacts decrease as distance from the border generating the negative impact increases. This paper tests the hypothesis that edge-effect externalities have influenced the location and production patterns of certified organic farms, using data from California Central Valley certified organic farmers. Using concepts from landscape ecology and spatial statistics, we investigate difference in parcel geometry and surrounding land uses between organic and non-organic parcels. Using a generalized method of moments (GMM) spatially autoregressive econometric model, we demonstrate that both parcel geometry and surrounding land uses influence the probability of a given parcel being certified organic. We conclude with suggestions for policies to encourage development of organic farming regions.     

Identifying spatial interactions in the presence of spatial error autocorrelation: An application to land use spillovers

Spatial spillovers—interaction effects among neighboring agents in space—are a common characteristic of a variety of processes that are of interest to environmental and resource economists. Empirical identification of these interactions is challenging, however, due to the endogenous nature of the interactions and the inevitable unobserved spatial correlation that, if uncontrolled, can result in spurious estimates of the interaction parameters. Traditional spatial econometric models rely on maintained assumptions that impose separate structures for the spatial error and interaction processes and thus are insufficient for solving this identification problem. To identify spatial land use spillovers in a hedonic model of residential housing values, we pursue an alternative approach by exploiting a natural experiment in the data. We use exogenous physical land features that impose a direct constraint on residential development on some, but not all, of the land that falls within our study region and use this to construct a “partial population identifier.” We find that this estimation strategy solves the endogeneity problem and reduces spatial error autocorrelation, but does not fully eliminate it. Estimation of the model using a more restricted sample in combination with the partial population identification strategy is successful in eliminating the remaining spatial error autocorrelation. We conclude that less restrictive approaches to controlling for unobserved spatial correlation, such as the natural experiment pursued here, may provide a superior alternative to identifying spatial spillovers.     

Women's Work and Agency in GPNS during Economic Crises: The Case of the Greek Table Grapes Export Sector

The expansion of global production networks (GPNs) has shifted women’s roles in agriculture worldwide. Financial and economic crises have intensified commercial pressures, leading to precariousness in women’s work. This has been magnified by government austerity measures. This article combines the GPN and feminist political economy literatures to investigate how the tensions between commercial pressures and gender relations and institutions in a time of economic crisis drive precariousness in women’s work and the implications for women’s adaptive agency. These questions are explored through the case of the table grapes export sector in Greece. The study finds that women farmworkers went back to waged and/or unwaged work in table grapes, but the need for their skilled work enabled them to retain some agency, even as unwaged laborers.     

A 'Generalised' Version of the Balance-of-Payments Growth Model: An application to neighbouring regions

This paper applies a 'generalised' version of Thirlwall's balance-of-payments (BOP) constrained growth model by testing for long-run relationships between the output growth rates of OECD countries and two neighbouring regions; South Africa (SA) and the rest of the Southern African Development Community (RSADC). The empirical results find strong support for the 'generalised' BOP growth model, which stresses the mutual interdependence of the world economy where one country's growth rate depends on others'. Although the policy implications are not mutually exclusive, they may be viewed from the individual perspectives of SA and RSADC. SA is only BOP constrained with respect to OECD. The message to SA's policy makers is that faster growth rates may be the result of an improvement in the structural demand features of its exports to OECD. RSADC is only BOP constrained with respect to SA. Growth-promoting policies in SA may have a high and positive impact on the whole SADC region. Policy-makers in RSADC, however, are advised to reduce their dependence on SA by improving the structural demand features of their exports to OECD.     

The socio-economic impact of certification schemes in conflict-affected regions: The case of arabica coffee in the Eastern DRC

The paper investigates the benefits of certification of cooperatives in conflict-affected areas. We study whether and how certification may contribute to attenuate the impact of conflicts on the members of coffee cooperatives in the Eastern DRC. We use an inverse probability weighted difference-in-difference approach to study data collected between December 2017 and October 2019 from four NGO-supported cooperatives. Two of these cooperatives got organic certification in 2018, of which one got an additional Small Producers Symbol (SPP) certification in 2018. Certified cooperatives allow Arabica coffee producers to access markets and buffer against drops in market prices. Results indicate that certified cooperatives were better able to resist the international price drop than non-certified cooperatives and the alternative informal markets. The results also suggest that certified cooperative members increased their sales to the cooperative instead of turning to informal side-selling. We find a decrease in reported food deficits by the members of certified cooperatives and an increase in the importance of coffee in their household's income. We conclude that certification is an effective way forward for smallholder coffee producers and cooperatives in unstable regions.