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This paper explores the impact of the political hierarchies of cities in China from different perspectives. First, we examine the economic disparities between prefectural cities and municipalities. Furthermore, this paper draws upon a quasi‐ experiment to analyze the impact of upgrading Chongqing to a municipality in 1997 using the synthetic control method. The city‐upgrading policy significantly increased Chongqing's gross domestic product (GDP) in the following 4 years. Finally, we find that the policy increased GDP in treated cities within 1200 km of Chongqing by about 10%–13% relative to the control cities. [ABSTRACT FROM AUTHOR]

The fifth‐generation (5G) technology is seen to be a solution for developing countries to improve their quality of services in terms of transportation, education, health, agriculture, and other fields, thereby holding the promises of economic transformation by improving productivity and the quality of life. The paper considers some of the challenges that face operators, investors, and providers when planning to introduce 5G technology to developing countries. The main focus of this paper is the 5G transport network, in particular, the backhaul network. The 5G transport network architectural options and scenarios are discussed based on several standards and previous studies, the problems of existing infrastructures of developing countries are investigated, and new proposed technologies that may help to address those challenges are considered. [ABSTRACT FROM AUTHOR]

Recent withdrawal of the U.S. military from the Republic of Panama has exposed 64,000 ha of lowland forest in the former Canal Zone to possible development. The forests form a 16-km-wide strip reaching 65 km from the Caribbean Sea to the Pacific Ocean and function as the water supply for the canal and as home to one of the world's richest terrestrial biotas. We present an overview of the distribution of bird diversity in the forests of the canal area based on 10 years of inventories. A total of 498 terrestrial species has been recorded, of which 177 occur only in lowland forests. More species reside in Caribbean- than in Pacific-slope forests and in the largest forest tracts. The Panamanian government, recognizing the importance of the forests for protection of biodiversity and for proper functioning of the canal, has created two national parks and a national monument in the canal area. One large park, Soberania National Park, currently contains 92% of the region's forest-dwelling species. Two large tracts on the Caribbean coast, the Achiote Road forest and the Fort Sherman forest, are not designated as national parks but are recognized as important forest areas. Those two forests harbor species found nowhere else in the canal corridor. Extensive fragmentation, disconnection of forested corridors between foothills and lowlands, and anthropogenic degradation of forests near towns have altered regional bird-community dynamics. Some dynamics occur on large spatial scales, such as the poorly understood movements of elevational and transisthmian migrants. Long-term maintenance of bird species diversity in the canal area will require preservation of the large forest tracts and reestablishment of a forested connection from the canal corridor lowlands to the Chagres lowlands and foothills in the east. Such conservation activities will be challenging to execute given the region's growing human population and desires for a stronger national economy. We recommend protection of remaining forests and active enforcement of protection laws to reduce hunting and further intrusions. [ABSTRACT FROM AUTHOR]

The article presents a discursive analysis of Great Britain's Conservative Party 2011 Green Paper "One World Conservatism: A Conservative agenda for international development." It offers a comparison of the conception of development in that paper with the 1997 Labour Party White Paper which launched the development of the Department for International Development (DFID). The discourse used to describe Britain's role in promoting global development and reducing poverty is examined.

This research evaluates the management efficiency of the European Structural Funds according to whether their productive orientation is based on employment or on economic and social development. The data refers to 2000–2020 for the 28 EU countries. The paper includes an analysis of the influence of the country's governance and economic freedom on the production function associated with the funds received. The results show that there is a technological gap between groups of countries defined by their goodness of governance. On the other hand, there is a positive relationship of economic freedom and the efficiency scores of the countries. [ABSTRACT FROM AUTHOR]

Given the relevance of museums in promoting cultural, tourism and economic development in local territories, we investigate the influence of both spatial and non‐spatial interactions on museum attractiveness. In particular, we assess whether non‐spatial collaborations such as partnerships and networking, contribute to enhancing their level of competitiveness and if spatial dependence occurs among neighbouring museums. Additionally, we differentiate the analysis by considering various location typologies, that is, sites located in highly attractive and remote areas. Findings from this study can assist policy‐makers in designing ad hoc strategies to encourage the active role of museums in their local context. [ABSTRACT FROM AUTHOR]

This paper aims at analysing how the presence of workers employed in cultural and creative industries (CCIs) is related to regional specialized diversification. From a theoretical perspective, CCIs drive economic development and local innovative capacity by facilitating processes of cross‐fertilization of ideas. This study estimates an entry model analysing the ability of Italian provinces to successfully create new sectoral specializations. The results indicate that the relationship between the share of employees in CCIs and the probability of creating new sectoral specializations is non‐linear, highlighting the need for CCIs‐led policies to achieve a certain level of critical mass to be successful. [ABSTRACT FROM AUTHOR]

Regional inequality in the process of economic growth has recently been a popular topic. This paper creatively proposes contribution decomposition methods to divide various regions' contributions into economic contribution and population contribution. The methods consider not only economic growth but also population change, which may be more effective than the traditional method that uses the per capita GDP (gross domestic product) as its single measurement indicator. Moreover, the objective is to take a step forward and reveal the spatio‐temporal evolution characteristics of regional disparities by integrating barycentre model and economic development equilibrium model. Lastly, the applicability of the research method proposed in this paper is verified by a case study of Jiangsu province, China; the results show a new regional economic pattern in Jiangsu province. [ABSTRACT FROM AUTHOR]

This paper analyses the long‐term relationship between regional inequality and economic development. Our data set includes information on national and regional per capita GDP for four countries: France, Italy, Portugal and Spain, compiled on a decadal basis for the period 1860–2010. Using parametric and semiparametric regressions, our results confirm the rise and fall of regional inequalities over time although in recent decades they are on the rise again. Finally, we identify structural change as being a significant transmission mechanism of the inverted‐U relationship. The arrival of technological shocks, beginning during the onset of industrialization, and the transition from agrarian to industrial economies, would explain this result. [ABSTRACT FROM AUTHOR]

This paper investigates the causal relationship between financial development and the urban–rural income gap in China. Using a bootstrap Granger panel causality analysis, the result indicates that financial development influences urban–rural income gap mainly in Eastern China. The high level of financial development in this region enables rural areas to increase its income. Our results also confirm the existence of the financial Kuznets curve in Eastern China where urban–rural income gap would be first increased and afterwards decreased by financial development. The financial development itself is not dependent on urban–rural income gap as it largely depends on government policies and economic growth. [ABSTRACT FROM AUTHOR]

As science becomes increasingly cross‐disciplinary and scientific models become increasingly cross‐coupled, standardized practices of model evaluation are more important than ever. For normally distributed data, mean squared error (MSE) is ideal as an objective measure of model performance, but it gives little insight into what aspects of model performance are "good" or "bad." This apparent weakness has led to a myriad of specialized error metrics, which are sometimes aggregated to form a composite score. Such scores are inherently subjective, however, and while their components may be interpretable, the composite itself is not. We contend that, a better approach to model benchmarking and interpretation is to decompose MSE into interpretable components. To demonstrate the versatility of this approach, we outline some fundamental types of decomposition and apply them to predictions at 1,021 streamgages across the conterminous United States from three streamflow models. Through this demonstration, we hope to show that each component in a decomposition represents a distinct concept, like "season" or "variability," and that simple decompositions can be combined to represent more complex concepts, like "seasonal variability," creating an expressive language through which to interrogate models and data. Plain Language Summary: Models are essential scientific tools for explaining and predicting phenomena ranging from weather and climate, to health outcomes, to economic development, to the origins of the universe, and testing competing models is one of the most basic scientific activites. Yet, how scientists evaluate and justify their models can be inconsistent or even arbitrary. Traditionally, one performance metric—such as mean squared error—is used to identify the best model, but one metric provides little insight into what aspects of a model are "good" or "bad." This paper proposes a basic language for expressing different aspects of a model's performance. On one hand, this is useful for determining which aspects of model may require revision, but it also allows the modeler to separate out the best elements among several models and combine them to form an ensemble, analogous to how an audio engineer mixes together multiple tracks to form the best rendition of a musical piece. Key Points: Mean squared error (MSE) is an objective but somewhat enigmatic measure of model performanceMSE can be decomposed into components that quantify specific aspects of model performance, such as bias and varianceMixing components among models yields a form of ensemble prediction [ABSTRACT FROM AUTHOR]

Using a multi‐region, multi‐sector dynamic model of an economy with rural–urban migration fit to Turkish data, this paper explores the evolution of each region's output and factor allocation as well as inter‐regional disparities that emerge with migration. Migration or residence decision of households is endogenous with respect to regional cost‐of‐living differentials. Results show that migration slows down and dampens the shift of labour from urban manufacturing to services, despite the increase in demand for urban services. It is also established that rural–urban migration contributes positively to growth while the reallocation of labour within each region proves to be unfavourable. [ABSTRACT FROM AUTHOR]

Under the deep and protracted recession that plagues the Greek regions, exports have shown some positive signs of resilience. This paper explores through a spatial econometric analysis of SUR models, first, the changes that occurred in exports by the (NUTS 3 level) regions for the period 2008–2012 to offer resistance against the crisis and to stimulate growth, which entail expansion of export demand, improvement in the quality of agricultural products, deeper specialization in broad low‐technology sectors and simultaneous increases in the variety inside these sectors and second, the ability of exports to transfer their growth gains to the broader economy. [ABSTRACT FROM AUTHOR]

In this paper, a flash flood that occurred in the Brazilian state of Santa Catarina in 2008 is used to investigate the existence of spatial spillovers from natural disasters in geographically‐linked areas. In order to do so, we estimated a Difference‐in‐Differences model that explicitly allows for the existence of spatial interactions within affected and unaffected regions. Our results show that municipalities directly affected by the flood suffered an 7.6% decrease in GDP per capita in the year of the disaster. Three years after the flood, however, GDP per capita rebounded back to pre‐disaster levels in all sectors but the Agricultural sector. Finally, our spatial estimations show that spillovers exist and are economically relevant. [ABSTRACT FROM AUTHOR]

As cities are compelled to compete for new sources of investment and revenue, arts‐based economic development strategies have become the norm. The purpose of this paper is to revisit and reevaluate some of the conventional claims about the arts as an important economic development strategy by exploring a case study called "The Space at 2106 Main" in a rapidly gentrifying neighbourhood called West Tampa. The results of this study suggest that the arts are indeed assuming a greater role in economic policy under the auspices of West Tampa community redevelopment areas (CRA) and the direct actions of various arts related entrepreneurs. The results however, point to a mixed picture that raises difficult questions about the medium to long‐term effects of this urban redevelopment strategy, especially on the poor and mostly minority residents of West Tampa. [ABSTRACT FROM AUTHOR]

This paper analyses the differential impact of several territorial determinants of the economic performance of Italian provinces (NUTS 3 level). as measured by per capita GDP, export and employment growth from 1999 to 2014. It covers both the pre‐crisis and the crisis period and stresses the role of geographical proximity in shaping local performance over a wide set of explanatory variables. In order to do so, we employ, firstly, a spatial Durbin model which enables us to discriminate between direct and indirect effects and to highlight the possible contagion or crowding‐out spatial effects for each territorial dimension affecting growth. Then, we extend the analysis by allowing for the possibility of two regimes (pre‐crisis and post‐crisis). The performance of the provinces before and during the crisis relates to specific territorial components and geographic proximity appears to influence differently the results and their interpretation. [ABSTRACT FROM AUTHOR]

This paper studies the effect of the zone tax offset (ZTO), a place based income subsidy implemented in rural Australia since 1945. The policy was intended to improve the welfare of inhabitants and provide an incentive for settlement. Our empirical approach exploits the geographical discontinuity in the eligibility for the subsidy to identify its causal effect on population growth. Using data on population by locality from the historical censuses we find that the ZTO had a positive but only temporary effect on population growth in the targeted areas. [ABSTRACT FROM AUTHOR]

This paper introduces a model in which greater inequality reduces growth in economies with low levels of financial development but that this effect is attenuated in economies with more developed systems. The model also predicts that individuals in economies with developed financial markets have a higher tolerance to inequality. Using a panel dataset that covers a large number of countries, this paper shows empirical evidence that is consistent with the main predictions of the model. Overall, this paper's major findings highlight that some of the pernicious effects of inequality can be attenuated by improving access to credit. [ABSTRACT FROM AUTHOR]

In this paper we study the impact of regulatory complexity, a measure of institutional quality, on the GDP, on per capita income and on the growth rate of the Italian regions. For comparative reasons we also use the duration of civil disputes as a further indicator of institutional quality used in the regressions as an alternative to the indicator of regulatory complexity. From the theoretical point of view, we use the approach of negative co‐ordination externalities, among the four sources of regulatory production that are at work at the same time. Our approach may be applied in all the countries with a multi‐level government system. Using the random effects and quantile regressions models we are able to quantify the effects of an improvement in institutional quality on the GDP and the growth rate, making a comparison between the results obtained using regulatory complexity or the duration of civil disputes as covariates. We also check for spatial dependence among variables. Econometric analysis supports the theoretical assumption that regulatory complexity is an impediment to the growth of regional GDP and per capita income. The main finding of our analysis is that a reduction in regulatory complexity would be more effective than a reduction in the duration of civil disputes in increasing the income and growth rate. This result could be useful for the policy‐maker because by reducing regulatory complexity we may obtain a considerable by‐product in the shorter duration of civil disputes. [ABSTRACT FROM AUTHOR]

While R&D activities are known for being unevenly distributed across space, how EU policy contributed to their regional dynamics is less explored. Since the 1980s, the EU Framework Programmes (FP) have promoted and supported transnational R&D projects through open and highly competitive calls for funding driven by 'scientific excellence' regardless of location. This paper aims to show the drivers of this spatial distribution and evolution of FP participations, arguing that this depends on cumulative effects of regional economic development and growth, while scientific specialization rarely is the best strategy to improve regional competitiveness in terms of FP participations. [ABSTRACT FROM AUTHOR]

Win—win outcomes between biodiversity conservation and local economic development are now a goal of many governments and conservation organizations but can be difficult to achieve. Where they occur, reductions in poverty from protected areas are often thought to be driven by economic gains from tourism that are sufficient to outweigh losses due to restrictions on land‐use or resource extraction. However, evidence about this channel is scarce. In this paper, we explore the potential compensatory effect of tourism by comparing poverty alleviation outcomes for cultural heritage sites in Mexico across two decades from 1990 to 2010. These sites are similar to protected areas in terms of attracting tourists, but they do not impose substantial restrictions on local land or resource use, allowing us to isolate tourism as a possible channel for economic development. Overall, we find mixed evidence that proximity to cultural heritage sites is associated with poverty reduction. During the first study period (1990–2000), localities close to cultural heritage sites saw reduced poverty of 0.034 standard deviations for each additional site. However, during the second period (2000–2010), localities close to heritage sites saw less poverty reduction than the comparison group (−0.014 standard deviations for each additional site). In both periods, poverty alleviation effects were not consistently correlated with the total number of visitors, but were larger further from cities, where baseline poverty was higher, and in the Yucatán Peninsula. This heterogeneity indicates that variability in the ability of local communities to capture benefits from tourism depends on a particular combination of institutional and geographic factors—as was the case in the Yucatan peninsula, where cultural heritage sites had consistent poverty alleviation effects over two decades. [ABSTRACT FROM AUTHOR]

Between industry and tourism: The evolving landscape of La Baie in Saguenay, Québec La Baie is a borough of the newly amalgamated city of Saguenay, which is defined by its past industrial and maritime development. This area encompassing the Ha! Ha! Bay is characterized by a lush natural landscape, contrasting sharply with the haphazardly built environment and urban fabric. The demolition of the Port-Alfred pulp and paper mill and the cruise ship terminal project offer the possibility to improve and harmonize this former municipality's landscape. In this article, we will discuss the evolution of the borough's landscape patterns through glimpses of the maritime and tourist tradition, industrial base and the design of downtown commercial space. [ABSTRACT FROM AUTHOR]

With the conversion of the global power economy and energy structure, access to a large amount of renewable energy has led to a decrease in power system inertia. The slight abnormal disturbance in the distribution network may have a significant impact on social and economic development. Aim at enhancing power stability and system resiliency; this study focuses on the detection and location of multiple abnormal sources in the distribution network. Most traditional methods use models relying on precise line parameters, subject to poor adaptability to the distribution network with a large number of nodes, and rapidly changing topology. Therefore, this study proposes a novel random matrix model, driven by monitoring data from phasor measurement units distributed on the overhead transmission lines. In this model, linear shrinkage (LS) theory, and Marchenko–Pastur law are combined for noise reduction to ensure the dynamic character and anti-noise ability. Moreover, data dimensions and sample points may be at the same level in an extensive scale network. The LS and standard condition number rule (SCN) are used for estimating the number of abnormal sources. Finally, the effectiveness of this paper's model is verified in PSCAD. The results indicate that the method has specific dynamic performance and anti-noise ability. [ABSTRACT FROM AUTHOR]

This paper examines the effect of high‐speed internet on firm's productivity and worker's wage in China. We exploit a national policy reform and devise a difference‐in‐difference strategy to address the endogeneity. We find that high‐speed internet significantly increases firm's productivity and worker's wage, and the estimate is larger for firms in industries with high skill intensity and for more educated workers. We provide suggestive evidence that the mechanism is likely from firm's increased use of skill‐biased technology and the flattened management organization. [ABSTRACT FROM AUTHOR]

Abstract: The debate on whether institutions or geography prevail in driving economic growth has been rife (e.g., Sachs 2003 vs. Rodrik et al. 2004). Most of the empirical analyses delving into this debate have focused on world countries, whose geographical and institutional conditions differ widely. Subnational analyses considering groups of countries with, in principle, more similar institutional and geographical conditions have been limited and tended to highlight that geography is more important than institutions at subnational level. This paper aims to address whether this is the case by investigating how differences in institutional and ‘first‐nature’ geographical conditions have affected economic growth in Europe's regions in the period 1995–2009. In the analysis we use a newly developed dataset including regional quality of government indicators and geographical characteristics and employ two‐stage least squares (2SLS) and instrumental variables‐generalized method of moments (IV‐GMM) estimation techniques with a number of regional historical variables as instruments. Our results indicate that at a regional level in Europe institutions rule. Regional institutional conditions – and, particularly, government effectiveness and the fight against corruption – play an important role in shaping regional economic growth prospects. This does not imply, however, that geography is irrelevant. There is evidence of geographical factors affecting regional growth, although their impact is dwarfed by the overriding influence of institutions. [ABSTRACT FROM AUTHOR]

The aim of this paper is to examine the effects of crime on regional economic growth in Mexico. We estimate a growth model using a spatial panel data model and test for the presence and type of spatial interaction, as proposed by Elhorst. Our results suggest that a two-way spatial Durbin model best fits the data, crime exerts a negative total effect on economic growth across Mexican states, particularly homicides and robbery, and significant spillover effects seem to reinforce the negative impact on regional growth. [ABSTRACT FROM AUTHOR]

We study the evolution of topics in economics and their geographical specialization by analyzing 13,233 papers from seven top journals between 1985 and 2012 and their forward citations. The share of U.S. publications declines from 75% to 64% with a corresponding increase of the European share from 12% to 24%. We use topic modeling and document the evolution of the discipline over 27 years. We estimate, with a quasi‐structural model, the citation lag distribution for 18 different topics and three large geographical areas. The modal citation lag is about 6.7 years in the entire sample and 4.8 years for citations from the top 100 journals. We quantify (1) the home bias effect in citations, (2) how it fades away over time, (3) the long lasting impact of U.S. publications vis‐à‐vis other geographical areas, and (4) the higher speed of diffusion and faster obsolescence in the United States. [ABSTRACT FROM AUTHOR]

In the mainstream real business cycle (RBC) model, labor can be viewed as temporary employment since the firm's demand for labor behaves directly in response to stochastic productivity shocks in each period. This paper provides a tractable way of analyzing fluctuations in permanent and temporary employment over the business cycle, as well as the underlying driving forces. This inclusion of heterogeneity helps reconcile the RBC model with the U.S. data given that temporary employees in general only account for a small proportion of total private‐sector employment (about 2%–3%). We draw an explicit division between permanent and temporary employment and resort to this separation to account for stylized facts that characterize a two‐tier labor market. In particular, with regard to the U.S. labor market, our benchmark model can well explain the motivating facts: (1) temporary employment is much more volatile than permanent employment, (2) the share of temporary employment (the ratio of temporary to aggregate employment) exhibits strong pro‐cyclicality, (3) permanent employment lags by two quarters on average, and (4) the correlation between temporary employment and output is stronger than that involving the permanent counterpart. The quantitative analysis suggests that our proposed channels explain the main facts well and the model further provides plausible reasoning for a firm's labor hoarding. [ABSTRACT FROM AUTHOR]

This paper attempts to shed new empirical light on infrastructure's role in economic growth using a semiparametric smooth coefficient model to avoid specification problems in some existing studies and admit infrastructure‐induced nonlinearity and parameter heterogeneity. Estimated by a three‐step procedure that controls for endogeneity in both the regressors and the environmental variable (infrastructure), the model is applied to the empirical context of telecommunications infrastructure in a fast‐growing economy, China. The results reveal that telecommunications contribute to output through various sources, namely its neutral and non‐neutral impacts. The total/net effect is positive but largely decreases with telecommunications stocks. [ABSTRACT FROM AUTHOR]

This paper examines Okun's Law using a spatial panel approach on NUTS 3 data for Great Britain over the period 1985-2011. The basic specification used as a starting point for the spatial analysis is the relationship between real output growth and unemployment rate changes. This is extended to incorporate spatial lags, to test for the presence of commuting effects, and to accommodate spatial residuals dependence. We estimate various spatial panel models, controlling for heterogeneity across areas, and find consistent evidence of a significant Okun's coefficient. Results also show that spillover effects from labour mobility and interregional linkages matter and have important implications for the validity of the empirical law. [ABSTRACT FROM AUTHOR]

This paper presents an intra-metropolitan approach to analyse the impact of urban spatial structure on local economic growth. Focusing on the Barcelona metropolitan region (BMR) between 1986 and 2001, we estimate a municipal employment growth model in which dynamic agglomeration economies related to urban spatial structure are considered using distance to employment centres, to assess metropolitan effects, and distance-weighted variables, to measure neighbourhood effects. The results obtained show the existence of neighbourhood specialization economies and metropolitan urbanization-localization economies fostering local growth. All of this leads to the paper's main conclusion: urban spatial structure is important for economic growth in an intra-metropolitan context. [ABSTRACT FROM AUTHOR]

Political institutions are an essential component to explain income variation. Brazilian municipalities are characterized by a great contrast in the colonization process and its impacts on the current income level and distribution, and other development aspects. This study analyzes the spatial heterogeneity of the relationship between institutional quality and the municipalities' economic development. We use a spatial moving window method applied to weighted regressions—Geographically Weighted Regression (GWR). We find evidence that good institutions increase income and other variables related to economic development. In addition, the institutional quality influence on economic development measures is distinct across the Brazilian regions. [ABSTRACT FROM AUTHOR]

The aim of this research was to study the influence of related variety on the economic performance of Spanish provinces during the international crisis (2009–2013) and the post‐crisis period (2014–2018), with the goal of contributing to assess the validity of the skill‐relatedness approach. The research is based on labor flows in a sample of more than one million affiliated workers. Our results confirmed the influence of related variety on the growth of GDP and employment in knowledge‐based industries, in protecting against unemployment, as well as on the creation of new firms, although with marked differences according to the economic cycle. Robustness issues and possible lines of progress using this novel methodology are also discussed. [ABSTRACT FROM AUTHOR]

The goal of this study is to examine the effects of investment in human capital, as funded by EU cohesion policy, on economic development in Poland at the local (LAU 2) level, that is, at the level of municipalities. We found evidence that human capital investment has a positive effect on local revenues. This effect is stronger than what is observed for the assistance programmes not related to human capital. The impact of intervention on migration balance is in turn not significant. We also observed that the effectiveness of the assistance within the cohesion policy depends on existing regional preconditions for development. [ABSTRACT FROM AUTHOR]

Key Messages: The cultural narrative of how German immigrants have shaped today's technology economy and entrepreneurial culture in Kitchener‐Waterloo appears questionable.Members of Kitchener‐Waterloo's German community neither have strong professional ties with other members of that community, nor close connections with other regional communities.Kitchener‐Waterloo's German community has been absorbed into the region's self‐image and creates common reference points for joint initiatives. This paper investigates the relationship between culture and economy and scrutinizes cultural narratives of economic development in Kitchener‐Waterloo, southern Ontario. It argues for the need to carefully conceptualize the link between culture and economic development to avoid boosting deterministic stereotypes. In the case of Kitchener‐Waterloo, a notable hub of high‐technology firms and technology development, a link is frequently drawn between the German community and culture and the region's technology economy and entrepreneurial culture. A social capital analysis, however, reveals that the German ethnic community neither has the strong professional internal ties nor the external social ties to other regional communities that could constitute a lead role in economic development. Rather, the legacy of Kitchener‐Waterloo's ethnic German population has been absorbed into the region's self‐image and creates a feeling of belonging and common reference points for joint social and economic initiatives in the region. [ABSTRACT FROM AUTHOR]

Regulators have long been interested in protecting consumers borrowing for a home as it is likely the single greatest financial obligation they will undertake. In this paper we examine the approach taken in Australia to mandating the disclosure of simple comparison data to reduce the complexity involved in the home loan decision. This article highlights that while the form of the legislated disclosure significantly improves decision accuracy, the failure of the regulator to account for the consumer's purchase behavior and lenders' motivations has undermined its effectiveness. We provide a number of recommendations for how to rectify these failings, principally that regulators need to consider the role of borrower information search and lender motivation as part of any regulatory reform. [ABSTRACT FROM AUTHOR]

In this paper we combine two strands of the empirical literature on agglomeration economics. We calculate two indices to identify local industries where agglomeration externalities could be expected to be particularly strong. The main part of the paper is an econometric analysis using a dynamic panel data model to test whether dynamic employment growth is indeed stronger in these observations. Spatial dependence is taken into account by including spatially lagged exogenous variables. We use panel data on all Western German employees subject to social security from 1989 to 2006 in 326 districts and 191 industries. We find evidence that long run employment growth is significantly more persistent in industrial agglomerations. [ABSTRACT FROM AUTHOR]

This paper examines news media coverage of hydraulic fracturing in Canada over a five-year period in five newspapers. Hydraulic fracturing, or 'fracking,' has reenergized the North American oil and gas market. This technology has increased economic growth, but it also comes with unknown and uncertain environmental and public health risks. Regulation of the fracking industry varies globally. In Canada there are three provinces that engage in large volume fracking and four provinces that have placed a moratorium on fracking. This paper demonstrates that the Canadian fracking story is about five frames: water pollution, economic benefits, uncertain risks, moratoriums, and energy independence. There is a difference between coverage in the two national newspapers as well as a difference in national and provincial coverage. In Nova Scotia, where fracking is banned, the media focuses primarily on environmental issues and benefits to the local economy. In Saskatchewan, where fracking for oil is an essential part of the economy, the media focuses on economic benefits and downplays other frames. Overall, across the five papers, the media coverage is highly selective and focuses on particular stories about the economy or the environment, but not both. Quelle est la chronique de la fracturation hydraulique au Canada? Cet article fait état de la couverture médiatique liée à la fracturation hydraulique au Canada par cinq journaux sur une période de cinq ans. La fracturation hydraulique a revitalisé le marché nord-américain des hydrocarbures. Cette technologie favorise la croissance économique, mais comporte également des risques écologiques et sanitaires inconnus et incertains. La réglementation régissant l'industrie de la fracturation varie selon les pays. À l'échelle canadienne, trois provinces ont réalisé d'importantes opérations de fracturation et quatre provinces ont imposé un moratoire à la fracturation hydraulique. Cet article montre que le cadrage médiatique de la fracturation hydraulique repose sur cinq thématiques : la pollution hydrique, les retombées économiques, l'incertitude liée aux risques, les moratoires et la souveraineté énergétique. Le cadrage médiatique varie entre les deux journaux nationaux ainsi qu'entre les médias nationaux et provinciaux. En Nouvelle-Écosse, où la fracturation est interdite, les médias mettent l'accent sur les questions environnementales et les retombées pour l'économie locale. En Saskatchewan, où la fracturation pour extraire du pétrole joue un rôle économique primordial, les médias se concentrent sur les retombées économiques et minorent l'importance des autres thématiques. Dans l'ensemble, les cinq journaux appliquent un filtre sélectif dans le traitement du sujet et publient des reportages spécifiques portant sur l'économie ou sur l'environnement, mais pas les deux. [ABSTRACT FROM AUTHOR]

The current dynamics in the Western European urban system are in marked contrast with the bourgeoning literature stressing the importance of agglomeration for economic growth. This paper explores whether this is due to the rise of 'city network economies', leading to processes of borrowed size as well as the rise of agglomeration shadows in networks of cities. The spread of metropolitan functions over Western European cities is analysed. It is found that network connectivity positively enhances the presence of metropolitan functions, but local size remains the most significant determinant for most types of functions. The importance of size and network connectivity differs across metropolitan functions and across cities. [ABSTRACT FROM AUTHOR]

In this paper, we introduce network dependence in European regional growth analyses in two new ways. First, we use detailed trade-flow data across European regions to decompose regional economic growth into two components: demand-led growth due to growing export markets and structural growth due to growing market shares in those export markets. Only structural growth, constituting on average approximately 20 per cent of total growth, is potentially affected by regionally varying locational characteristics. The second network novelty we introduce is revealed competition as a measure of regional network membership in the growth analysis. Applying a neo-classical regional growth model using geographically weighted regression, we show that the degree of revealed competition in trade and services between sectors moderates regional structural growth. Regions operating on similar international markets share more favourable structural growth prospects, with locational determinants being more - albeit still limited - significant due to similar externalities. With regional characteristics being of limited sectoral and geographical importance for structural growth, our results suggest that the recently advocated place-based development strategies of European regions should be complemented with competitive regional network strategies. [ABSTRACT FROM AUTHOR]

This paper analyses the determinants of regional economic growth in the European Union adopting a non-parametric approach. Although the local-linear kernel estimator applied does not explicitly take into account the spatial dimension of the data, it is found to be consistent in our context. In addition, the geographically weighted regression turns out to be less efficient. We obtain evidence of a non-linear relationship between regional growth and its determinants in the form of parameter heterogeneity and threshold effects. These non-linearities mainly affect the initial productivity of labour, the human capital endowment and, as a novelty, the level of infrastructures. [ABSTRACT FROM AUTHOR]

This paper analyses patterns in regional inequality within and between Malaysia's 14 states, drawing upon estimates of Kuznets/Williamson curves, σ- and β-convergence and spatial spillovers. The path of regional inequality contradicts Kuznets predictions. Regional inequality initially fell but has subsequently risen with further economic development. While Malaysian governments have been successful at reducing poverty, they have been unable to curtail regional inequality in the long run. [ABSTRACT FROM AUTHOR]

If regional development agencies assume the cluster concept to be an adequate framework to promote regional growth and competitiveness, it is necessary to identify industrial clusters in a comprehensive manner. Previous studies used a diversity of methods to identify the predominant concentrations of economic activity in one industrial sector in a region. This paper is based on a multidimensional approach developed by Titze et al. With the help of the combination of concentration measures and input-output methods they were able to identify horizontal and vertical dimensions of industrial clusters. This paper aims to refine this approach by using a superior measure of spatial concentration and by integrating information about spatial interdependence of industrial cluster structures to contribute to a more adequate framework for industrial cluster identification. [ABSTRACT FROM AUTHOR]

This paper analyses non-compulsory secondary school enrolment of immigrant students in Italy. Such enrolment implies a voluntary decision and can influence future career paths in the labour market. The results show that the enrolment rates of immigrants are lower than those of Italians. Immigrant students prefer vocational schools and shorter-term education. The pattern of these preferences remains constant across the throughout Italy, even if Italy presents strong differences in the economic development of its regions, with rich Northern and poor Southern regions. The enrolment rates of second-generation immigrant students differ from those of first-generation students, but the size of this component is still too small to indicate a clear trend. [ABSTRACT FROM AUTHOR]

The paper analyses the impact of domestic and international tourism on the economic growth process for 179 European regions. The econometric analysis is based on a spatial growth regression framework where the rate of GDP per capita growth at the regional level for the period 1999-2009 depends on tourism flows, in addition to the traditional growth variables. Besides controlling for initial conditions, we also include a wide set of covariates to account for the endowment of human and technological capital and for the geographical, social and institutional features of the regions. The results, confirmed by several robustness checks, demonstrate that regional growth is positively affected by domestic and international tourism. [ABSTRACT FROM AUTHOR]

The response by regional and national economies to exogenous impulses has a well-established literature in both spatial econometrics and in mainstream econometrics and is of considerable importance given the post-2007 economic crisis, which is characterized by a period of severe global instability resulting from unprecedented economic shocks. This paper focuses on dynamic counterfactual predictions and impulse-response functions derived from appropriate econometric models. These provide insight regarding the question of whether responses to economic shocks are transitory or whether they have a permanent effect. Analysis shows that output shocks have had permanent effects on productivity so that economies have tended not to return to the pre-shock path but rather adjust to new levels. This suggests that the current recession will be embodied permanently within the memory of some of Europe's leading economies as a hysteretic effect. [ABSTRACT FROM AUTHOR]

This paper examines the relationship between immigrants' genetic diversity and economic development in the United States during the late nineteenth and the beginning of the twentieth centuries, a period commonly referred to as the age of mass migration from Europe to the New World. Our panel model estimates show that during this period, immigrants' genetic diversity is significantly positively correlated with measures of U.S. counties' economic development. There exists also a significant positive relationship between immigrants' genetic diversity in 1870 and contemporaneous measures of U.S. counties' average income. (JEL J11, O51, Z13) [ABSTRACT FROM AUTHOR]

One potential consequence of rising top‐income concentration is borrowing by less‐affluent households attempting to maintain relative living standards. This paper evaluates the “keeping up with the Joneses” phenomenon, examining the responsiveness of payment‐to‐income ratios for different debt types across the income distribution to changes in income among affluent households. The analysis provides evidence for the responsiveness of debt to rising top incomes. Middle‐ and upper‐middle‐income households take on more housing‐related debt and have higher payments in places with higher top‐income levels. Among lower‐income households non‐mortgage borrowing and debt payments decline, consistent with restrictions in the supply of credit. (JEL D63, D14) [ABSTRACT FROM AUTHOR]

Motivated by the basic adage that man does not live by bread alone, we offer a theory of historical economic growth and population dynamics where human beings need food to survive, but enjoy other things, too. Our model imposes a Malthusian constraint on food, but introduces a second good to the analysis that affects living standards without affecting population growth. We show that technological change does a good job explaining historical consumption patterns and population dynamics, including the Neolithic Revolution, the Industrial Revolution, and the Great Divergence. Our theory stands in contrast to models that assume a single composite good and a Malthusian constraint. These models generate negligible growth prior to the Industrial Revolution. However, recent revisions to historical data show that historical living standards-though obviously much lower than today's-varied over time and space much more than previously thought. These revisions include updates to Maddison's dataset, which served as the basis for many papers taking long-run stagnation as a point of departure. This new evidence suggests that the assumption of long-run stagnation is problematic. Our model shows that when we give theoretical accounting of these new observations the Industrial Revolution is much less puzzling. ( JEL B10, I31, J1, N1, O30) [ABSTRACT FROM AUTHOR]

Recent literature suggests two mechanisms through which the start-up of new firms contributes to economic development: the growth of start-ups and competition among incumbent firms induced by the start-ups. While existing studies derive the competition effect indirectly, this paper deploys a direct measure, called market mobility, to approximate the induced competition effect. The empirical results are consistent with the idea that both effects are important in explaining the long-term economic impact of start-ups. First, the most successful start-ups grow to become high-growth firms, and second, the entry of new firms stimulates incumbent firms to perform better. [ABSTRACT FROM AUTHOR]