Pub Date : 2022-11-11DOI: 10.1080/21681376.2022.2139194
I. Mariotti, Dante Di Matteo, Federica Rossi
ABSTRACT The Covid-19 pandemic has rapidly altered the habits and lifestyles of every citizen worldwide and will have effects in the medium to long terms. The need for ‘social distancing’ has negatively affected urban areas and encouraged a rescheduling of working methods. Knowledge-intensive activities have been massively undertaken on a large scale in remote working, mainly carried out at home. Within this context, the paper explores the changes in working modalities towards remote working by focusing on the Lombardy region in north-west Italy. Specifically, it explores the renewed suitability of the municipalities outside the regional capital city of Milan with regard to remote workers during the pandemic and compares it with the period before the pandemic, and also it analyses which determinants play a role. The results show that municipalities closer to Milan with a strong broadband connection, a high concentration of knowledge workers and foreign immigrants are more suitable for hosting remote workers.
{"title":"Who were the losers and winners during the Covid-19 pandemic? The rise of remote working in suburban areas","authors":"I. Mariotti, Dante Di Matteo, Federica Rossi","doi":"10.1080/21681376.2022.2139194","DOIUrl":"https://doi.org/10.1080/21681376.2022.2139194","url":null,"abstract":"ABSTRACT The Covid-19 pandemic has rapidly altered the habits and lifestyles of every citizen worldwide and will have effects in the medium to long terms. The need for ‘social distancing’ has negatively affected urban areas and encouraged a rescheduling of working methods. Knowledge-intensive activities have been massively undertaken on a large scale in remote working, mainly carried out at home. Within this context, the paper explores the changes in working modalities towards remote working by focusing on the Lombardy region in north-west Italy. Specifically, it explores the renewed suitability of the municipalities outside the regional capital city of Milan with regard to remote workers during the pandemic and compares it with the period before the pandemic, and also it analyses which determinants play a role. The results show that municipalities closer to Milan with a strong broadband connection, a high concentration of knowledge workers and foreign immigrants are more suitable for hosting remote workers.","PeriodicalId":46370,"journal":{"name":"Regional Studies Regional Science","volume":"9 1","pages":"685 - 708"},"PeriodicalIF":1.9,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47193570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-11DOI: 10.1080/21681376.2022.2137427
Kaoru Kakinuma, Guy J. Abel
ABSTRACT Population decline is expected to continue to be a prominent feature of Japanese demography in future decades. Internal migration plays a significant role in dictating the intensity of population decline at the regional level. In this paper we visualize inter-prefecture internal migration flows between the eight regions of Japan in 2020 using a chord diagram to show the relative scales of the origin–destination migration flows between each region. In addition, we use an animated series of chord diagrams to show the development of internal migration between 1954 and 2020. We fix the axis of the sectors of the chord diagram in the animation to illustrate the rapid growth and then slow decline (post-1972) in the regional migration system, as well as the interruption in the movement patterns during 2011, due to the Great East Japan Earthquake.
{"title":"The development of internal migration flow patterns in Japan","authors":"Kaoru Kakinuma, Guy J. Abel","doi":"10.1080/21681376.2022.2137427","DOIUrl":"https://doi.org/10.1080/21681376.2022.2137427","url":null,"abstract":"ABSTRACT Population decline is expected to continue to be a prominent feature of Japanese demography in future decades. Internal migration plays a significant role in dictating the intensity of population decline at the regional level. In this paper we visualize inter-prefecture internal migration flows between the eight regions of Japan in 2020 using a chord diagram to show the relative scales of the origin–destination migration flows between each region. In addition, we use an animated series of chord diagrams to show the development of internal migration between 1954 and 2020. We fix the axis of the sectors of the chord diagram in the animation to illustrate the rapid growth and then slow decline (post-1972) in the regional migration system, as well as the interruption in the movement patterns during 2011, due to the Great East Japan Earthquake.","PeriodicalId":46370,"journal":{"name":"Regional Studies Regional Science","volume":"9 1","pages":"669 - 671"},"PeriodicalIF":1.9,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42498327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-31DOI: 10.1080/21681376.2022.2135458
Francisco Rowe
ABSTRACT Global warming is increasing the frequency of extreme weather events leading to an increased risk of large-scale population displacements. Since June 2022, Pakistan has recorded destructive flash flooding resulting from melting glaciers and torrential monsoon rainfall. Emergency responses have documented flood-related deaths, injuries and damaged infrastructure – less is known about population displacements resulting from recent floods. Information about these populations and mobility is critical to ensure the appropriate delivery of humanitarian assistance where it is most needed. Lack of granular spatial data in real time has been a key barrier. This article uses digital footprint data from Meta Facebook to identify the patterns of population displacement in Pakistan in near-real time.
{"title":"Using digital footprint data to monitor human mobility and support rapid humanitarian responses","authors":"Francisco Rowe","doi":"10.1080/21681376.2022.2135458","DOIUrl":"https://doi.org/10.1080/21681376.2022.2135458","url":null,"abstract":"ABSTRACT Global warming is increasing the frequency of extreme weather events leading to an increased risk of large-scale population displacements. Since June 2022, Pakistan has recorded destructive flash flooding resulting from melting glaciers and torrential monsoon rainfall. Emergency responses have documented flood-related deaths, injuries and damaged infrastructure – less is known about population displacements resulting from recent floods. Information about these populations and mobility is critical to ensure the appropriate delivery of humanitarian assistance where it is most needed. Lack of granular spatial data in real time has been a key barrier. This article uses digital footprint data from Meta Facebook to identify the patterns of population displacement in Pakistan in near-real time.","PeriodicalId":46370,"journal":{"name":"Regional Studies Regional Science","volume":"9 1","pages":"665 - 668"},"PeriodicalIF":1.9,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49353780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-31DOI: 10.1080/21681376.2022.2130088
R. Vale, P. Vale, H. Gibbs, Daniel Pedrón, Jens Engelmann, Ritaumaria Pereira, P. Barreto
ABSTRACT A regional approach to the study of Brazil’s beef industry is increasingly relevant as deforestation takes centre stage in policy debates worldwide. To what extent has beef production expanded toward regions hosting sensitive ecosystems such as the Amazon? Important data limitations remain to answer this question, especially regarding slaughterhouses, fundamental to the beef supply chain. This paper addresses the data gap on slaughterhouse location and history and provides novel regional analysis. We map the beef industry’s evolution into Brazil’s interior over the last six decades and quantify changes in market concentration between 2006 and 2016. To accomplish this, we triangulated across fiscal and animal sanitation data sources to produce the first longitudinal dataset with information on the opening and closing dates, locations, and production volumes of 2602 slaughterhouses. We show the linear movement of slaughterhouses and cattle herds to the Amazon by tracking their geographical centres of gravity. We also show the clustering pattern of slaughterhouses. Until the 1960s, all the geographical clusters were located south of the capital, Brasília. By the early 2000s, clusters north of Brasília were almost as extensive. Finally, we assessed the degree of market power that the largest beef-processing companies possess. The results indicate that market concentration increased in regions of more recent settlement further away from the coast, and that it remained relatively stable in states near the coast (Minas Gerais, São Paulo). The results shed light on the relationship between displacement toward the Amazon and Cerrado regions and economic concentration.
{"title":"Regional expansion of the beef industry in Brazil: from the coast to the Amazon, 1966–2017","authors":"R. Vale, P. Vale, H. Gibbs, Daniel Pedrón, Jens Engelmann, Ritaumaria Pereira, P. Barreto","doi":"10.1080/21681376.2022.2130088","DOIUrl":"https://doi.org/10.1080/21681376.2022.2130088","url":null,"abstract":"ABSTRACT A regional approach to the study of Brazil’s beef industry is increasingly relevant as deforestation takes centre stage in policy debates worldwide. To what extent has beef production expanded toward regions hosting sensitive ecosystems such as the Amazon? Important data limitations remain to answer this question, especially regarding slaughterhouses, fundamental to the beef supply chain. This paper addresses the data gap on slaughterhouse location and history and provides novel regional analysis. We map the beef industry’s evolution into Brazil’s interior over the last six decades and quantify changes in market concentration between 2006 and 2016. To accomplish this, we triangulated across fiscal and animal sanitation data sources to produce the first longitudinal dataset with information on the opening and closing dates, locations, and production volumes of 2602 slaughterhouses. We show the linear movement of slaughterhouses and cattle herds to the Amazon by tracking their geographical centres of gravity. We also show the clustering pattern of slaughterhouses. Until the 1960s, all the geographical clusters were located south of the capital, Brasília. By the early 2000s, clusters north of Brasília were almost as extensive. Finally, we assessed the degree of market power that the largest beef-processing companies possess. The results indicate that market concentration increased in regions of more recent settlement further away from the coast, and that it remained relatively stable in states near the coast (Minas Gerais, São Paulo). The results shed light on the relationship between displacement toward the Amazon and Cerrado regions and economic concentration.","PeriodicalId":46370,"journal":{"name":"Regional Studies Regional Science","volume":"93 2","pages":"641 - 664"},"PeriodicalIF":1.9,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41287805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-20DOI: 10.1080/21681376.2022.2122863
T. Nilsen, Rune Njøs
ABSTRACT This paper discusses how narratives influence the legitimation of new industries in peripheral regions. We contribute to the literature a discussion of the emergence of green industries in peripheral regions, but particularly to the emerging debate in evolutionary economic geography on the role of legitimation in the emergence of new industries. Based on an empirical investigation of narratives regarding onshore wind in the Finnmark region in northernmost Norway, we caution against the focus in the literature on ‘successful’ legitimation, arguing that to better comprehend how new green industries emerge in regions there is a need also to understand delegitimation of new industrial activities and to investigate unsuccessful path creation processes, not only paths that have come into being and where legitimation has been ‘achieved’. Following from this we argue that our study on how representations (i.e., narratives) of emerging paths are linked to observable outcomes (e.g., delegitimation) teases out the need for further investigation of power relations, a topic that has received very little interest in research on regional industrial path development.
{"title":"Emergence of new industries in peripheral regions: the role of narratives in delegitimation of onshore wind in the Arctic Finnmark region","authors":"T. Nilsen, Rune Njøs","doi":"10.1080/21681376.2022.2122863","DOIUrl":"https://doi.org/10.1080/21681376.2022.2122863","url":null,"abstract":"ABSTRACT This paper discusses how narratives influence the legitimation of new industries in peripheral regions. We contribute to the literature a discussion of the emergence of green industries in peripheral regions, but particularly to the emerging debate in evolutionary economic geography on the role of legitimation in the emergence of new industries. Based on an empirical investigation of narratives regarding onshore wind in the Finnmark region in northernmost Norway, we caution against the focus in the literature on ‘successful’ legitimation, arguing that to better comprehend how new green industries emerge in regions there is a need also to understand delegitimation of new industrial activities and to investigate unsuccessful path creation processes, not only paths that have come into being and where legitimation has been ‘achieved’. Following from this we argue that our study on how representations (i.e., narratives) of emerging paths are linked to observable outcomes (e.g., delegitimation) teases out the need for further investigation of power relations, a topic that has received very little interest in research on regional industrial path development.","PeriodicalId":46370,"journal":{"name":"Regional Studies Regional Science","volume":"9 1","pages":"603 - 617"},"PeriodicalIF":1.9,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47010115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-20DOI: 10.1080/21681376.2022.2132180
Halfdan Lynge, J. Visagie, Andreas Scheba, I. Turok, David Everatt, C. Abrahams
ABSTRACT Neighbourhoods affect people’s livelihoods, and therefore drive and mediate intra-urban inequalities and transformations. While the neighbourhood has long been recognized as an important unit of analysis, there is surprisingly little systematic research on different neighbourhood types, especially in the fast-growing cities of the Global South. In this paper we employ k-means clustering, a common machine-learning algorithm, to develop a neighbourhood typology for South Africa’s eight largest cities. Using census data, we identify and describe eight neighbourhood types, each with distinct demographic, socio-economic, structural and infrastructural characteristics. This is followed by a relational comparison of the neighbourhood types along key variables, where we demonstrate the persistent and multi-dimensional nature of residential inequalities. In addition to shedding new light on the internal structure of South African cities, the paper makes an important contribution by applying an inductive, data-driven approach to developing neighbourhood typologies that advances a more sophisticated and nuanced understanding of cities in the Global South.
{"title":"Developing neighbourhood typologies and understanding urban inequality: a data-driven approach","authors":"Halfdan Lynge, J. Visagie, Andreas Scheba, I. Turok, David Everatt, C. Abrahams","doi":"10.1080/21681376.2022.2132180","DOIUrl":"https://doi.org/10.1080/21681376.2022.2132180","url":null,"abstract":"ABSTRACT Neighbourhoods affect people’s livelihoods, and therefore drive and mediate intra-urban inequalities and transformations. While the neighbourhood has long been recognized as an important unit of analysis, there is surprisingly little systematic research on different neighbourhood types, especially in the fast-growing cities of the Global South. In this paper we employ k-means clustering, a common machine-learning algorithm, to develop a neighbourhood typology for South Africa’s eight largest cities. Using census data, we identify and describe eight neighbourhood types, each with distinct demographic, socio-economic, structural and infrastructural characteristics. This is followed by a relational comparison of the neighbourhood types along key variables, where we demonstrate the persistent and multi-dimensional nature of residential inequalities. In addition to shedding new light on the internal structure of South African cities, the paper makes an important contribution by applying an inductive, data-driven approach to developing neighbourhood typologies that advances a more sophisticated and nuanced understanding of cities in the Global South.","PeriodicalId":46370,"journal":{"name":"Regional Studies Regional Science","volume":"9 1","pages":"618 - 640"},"PeriodicalIF":1.9,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44093753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-05DOI: 10.1080/21681376.2022.2125824
Miguel González‐Leonardo, Francisco Rowe
ABSTRACT Drawing on register records from 2019 to 2021, we analyse the impact of COVID-19 on internal and international migration across the 50 Spanish provinces (NUTS-3 regions). Our results show that net-international migration declined in all the provinces during the pandemic, particularly in high-population-density areas. Certain depopulated provinces registered significant positive net-internal migration rates, while the most populous areas displayed population losses through internal migration. Generally, the total migration balance decreased in most provinces, primarily driven by the drop in international migration. Changes in internal and international migration persisted over time, although patterns tended to converge to pre-pandemic levels in late 2021.
{"title":"Visualizing internal and international migration in the Spanish provinces during the COVID-19 pandemic","authors":"Miguel González‐Leonardo, Francisco Rowe","doi":"10.1080/21681376.2022.2125824","DOIUrl":"https://doi.org/10.1080/21681376.2022.2125824","url":null,"abstract":"ABSTRACT Drawing on register records from 2019 to 2021, we analyse the impact of COVID-19 on internal and international migration across the 50 Spanish provinces (NUTS-3 regions). Our results show that net-international migration declined in all the provinces during the pandemic, particularly in high-population-density areas. Certain depopulated provinces registered significant positive net-internal migration rates, while the most populous areas displayed population losses through internal migration. Generally, the total migration balance decreased in most provinces, primarily driven by the drop in international migration. Changes in internal and international migration persisted over time, although patterns tended to converge to pre-pandemic levels in late 2021.","PeriodicalId":46370,"journal":{"name":"Regional Studies Regional Science","volume":"9 1","pages":"600 - 602"},"PeriodicalIF":1.9,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42126543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-03DOI: 10.1080/21681376.2022.2120413
Moritz Breul
ABSTRACT Regions throughout the world are confronted with the challenge of restructuring their economies when existing growth paths decline. In regional strategies, directions are defined into which their economies shall be developed, thereby constituting a crucial moment for setting the course for future diversification. While considerable progress has been made in retrospectively understanding regional industrial path developments once these have emerged successfully, little attention has been paid to the processes by which regions develop strategies for future diversification. This article argues that in order to understand why a region aims to develop certain economic areas rather than others, this has to be seen in the context of the policymaking process. Based on a case study of the German lignite mining region ‘Rheinisches Revier’, the paper explores the role played by the configuration of regional policymaking processes, in which regions develop strategies, for the direction of these strategies. The findings highlight that regional strategies have to be understood as the product of a region-specific multi-actor process whose configuration affects the policy outcomes.
{"title":"Setting the course for future diversification: the development of a regional transformation strategy in a German lignite mining region","authors":"Moritz Breul","doi":"10.1080/21681376.2022.2120413","DOIUrl":"https://doi.org/10.1080/21681376.2022.2120413","url":null,"abstract":"ABSTRACT Regions throughout the world are confronted with the challenge of restructuring their economies when existing growth paths decline. In regional strategies, directions are defined into which their economies shall be developed, thereby constituting a crucial moment for setting the course for future diversification. While considerable progress has been made in retrospectively understanding regional industrial path developments once these have emerged successfully, little attention has been paid to the processes by which regions develop strategies for future diversification. This article argues that in order to understand why a region aims to develop certain economic areas rather than others, this has to be seen in the context of the policymaking process. Based on a case study of the German lignite mining region ‘Rheinisches Revier’, the paper explores the role played by the configuration of regional policymaking processes, in which regions develop strategies, for the direction of these strategies. The findings highlight that regional strategies have to be understood as the product of a region-specific multi-actor process whose configuration affects the policy outcomes.","PeriodicalId":46370,"journal":{"name":"Regional Studies Regional Science","volume":"9 1","pages":"581 - 599"},"PeriodicalIF":1.9,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48320754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-22DOI: 10.1080/21681376.2022.2117077
L. Bettarelli, Emilie van Haute
ABSTRACT This paper investigates divergences in levels of affective polarization across Belgian regions around the 2019 elections. Elaborating on the relative deprivation theory, we analyse the role of current and long-term socio-economic regional inequalities and of geographical distance separating regions. Empirically, we aggregate individual-level measures of affective polarization at the Belgian NUTS-3 level and use a gravity approach to explore the determinants of regional divergences. Our results show that regional variations in affective polarization are best explained by a current rural–urban divide and by how regions have performed economically in the last years. We also show that geographical proximity matters and reinforces the effects of economic deprivation.
{"title":"Regional inequalities as drivers of affective polarization","authors":"L. Bettarelli, Emilie van Haute","doi":"10.1080/21681376.2022.2117077","DOIUrl":"https://doi.org/10.1080/21681376.2022.2117077","url":null,"abstract":"ABSTRACT This paper investigates divergences in levels of affective polarization across Belgian regions around the 2019 elections. Elaborating on the relative deprivation theory, we analyse the role of current and long-term socio-economic regional inequalities and of geographical distance separating regions. Empirically, we aggregate individual-level measures of affective polarization at the Belgian NUTS-3 level and use a gravity approach to explore the determinants of regional divergences. Our results show that regional variations in affective polarization are best explained by a current rural–urban divide and by how regions have performed economically in the last years. We also show that geographical proximity matters and reinforces the effects of economic deprivation.","PeriodicalId":46370,"journal":{"name":"Regional Studies Regional Science","volume":"9 1","pages":"549 - 570"},"PeriodicalIF":1.9,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45828934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-22DOI: 10.1080/21681376.2022.2118072
Daragh O’Leary
ABSTRACT This paper examines the relationship between entrepreneurship and unemployment. Using Eurostat business demography data, a strongly balanced panel model pertaining to 148 European regions from 2008 to 2017 is assembled and a fixed effects regression technique is used to analyse the relationship between net business population growth and lagged unemployment. Results from the analysis show evidence of a negative relationship. However, when we stratify regions based on their economic performance, we find that this relationship is positive in higher performing regions and negative in lower performing regions, suggesting that push-factor or necessity-based entrepreneurship may be more prevalent in leading rather than lagging regions. Implications for policy are discussed. Results for the influence of industrial concentration and variety on entrepreneurship are also obtained.
{"title":"Unemployment and entrepreneurship across high-, middle- and low-performing European regions","authors":"Daragh O’Leary","doi":"10.1080/21681376.2022.2118072","DOIUrl":"https://doi.org/10.1080/21681376.2022.2118072","url":null,"abstract":"ABSTRACT This paper examines the relationship between entrepreneurship and unemployment. Using Eurostat business demography data, a strongly balanced panel model pertaining to 148 European regions from 2008 to 2017 is assembled and a fixed effects regression technique is used to analyse the relationship between net business population growth and lagged unemployment. Results from the analysis show evidence of a negative relationship. However, when we stratify regions based on their economic performance, we find that this relationship is positive in higher performing regions and negative in lower performing regions, suggesting that push-factor or necessity-based entrepreneurship may be more prevalent in leading rather than lagging regions. Implications for policy are discussed. Results for the influence of industrial concentration and variety on entrepreneurship are also obtained.","PeriodicalId":46370,"journal":{"name":"Regional Studies Regional Science","volume":"9 1","pages":"571 - 580"},"PeriodicalIF":1.9,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60450248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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