{"title":"Can democratic transition lead to more foreign aid inflow? A synthetic control method analysis of Senegal, 1985-2018","authors":"Botond Kapás","doi":"10.15196/rs130507","DOIUrl":"https://doi.org/10.15196/rs130507","url":null,"abstract":"","PeriodicalId":44388,"journal":{"name":"Regional Statistics","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135212763","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}
{"title":"Territorial capital in the European Union: Measuring the territorial endowments of the EU-28 NUTS 2 regions over the 2010s","authors":"B. Tóth","doi":"10.15196/rs130101","DOIUrl":"https://doi.org/10.15196/rs130101","url":null,"abstract":"","PeriodicalId":44388,"journal":{"name":"Regional Statistics","volume":"1 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66867944","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}
A. Zhurauliou, Jordan Palomino, Olena Gulevych, Laszlo Vasa
{"title":"Comparative analysis of labour markets in Ukraine, Armenia, Moldova, and Estonia: Institutional approach, 1995-2020","authors":"A. Zhurauliou, Jordan Palomino, Olena Gulevych, Laszlo Vasa","doi":"10.15196/rs130107","DOIUrl":"https://doi.org/10.15196/rs130107","url":null,"abstract":"","PeriodicalId":44388,"journal":{"name":"Regional Statistics","volume":"119 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66868042","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}
{"title":"Regional StatiSocioeconomic development and corruption: A global panel regression analysis, 2005-2019","authors":"K. Rontos, Maria-Eleni Syrmali, L. Salvati","doi":"10.15196/rs130402","DOIUrl":"https://doi.org/10.15196/rs130402","url":null,"abstract":"","PeriodicalId":44388,"journal":{"name":"Regional Statistics","volume":"1 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66868140","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}
{"title":"Estimations of pooled dynamic panel data model with time-space dependence of selected Sub-Saharan African urban agglomerations, 2000-2020","authors":"Isaiah Maket, Izabella Szakálné Kanó, Z. Vas","doi":"10.15196/rs130404","DOIUrl":"https://doi.org/10.15196/rs130404","url":null,"abstract":"","PeriodicalId":44388,"journal":{"name":"Regional Statistics","volume":"1 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66868160","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}
Vahid Kafili, Mohammadsaeed Zabihidan, MirHadi Hosseini Kondelaji
In this paper, the effect of income inequality (Gini coefficient) on environmental quality (carbon dioxide [CO 2 ] emissions per capita) in the provinces of Iran (2005–2016) was studied. The generalized method of moments (GMM) was used for data analysis. The results indicated that the impact of income inequality on CO 2 emissions per capita is a function of the level of economic development (real gross domestic product [GDP] per capita). At low-income levels, rising inequality increases CO 2 emissions per capita. However, after the threshold, raising income inequality reduces CO 2 emissions per capita. The U-shaped relationship between real GDP per capita and CO 2 emissions per capita has also been confirmed. Per capita energy consumption and population density are the factors that increase CO 2 emissions per capita, while increasing urbanization is the factor that reduces CO 2 emissions per capita.
{"title":"Income distribution and environmental pollution: A panel data analysis for the provinces of Iran, 2005-2016","authors":"Vahid Kafili, Mohammadsaeed Zabihidan, MirHadi Hosseini Kondelaji","doi":"10.15196/rs130405","DOIUrl":"https://doi.org/10.15196/rs130405","url":null,"abstract":"In this paper, the effect of income inequality (Gini coefficient) on environmental quality (carbon dioxide [CO 2 ] emissions per capita) in the provinces of Iran (2005–2016) was studied. The generalized method of moments (GMM) was used for data analysis. The results indicated that the impact of income inequality on CO 2 emissions per capita is a function of the level of economic development (real gross domestic product [GDP] per capita). At low-income levels, rising inequality increases CO 2 emissions per capita. However, after the threshold, raising income inequality reduces CO 2 emissions per capita. The U-shaped relationship between real GDP per capita and CO 2 emissions per capita has also been confirmed. Per capita energy consumption and population density are the factors that increase CO 2 emissions per capita, while increasing urbanization is the factor that reduces CO 2 emissions per capita.","PeriodicalId":44388,"journal":{"name":"Regional Statistics","volume":"1 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66868172","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}
{"title":"Assessing the effect of gender-related legal reforms on female labour participation and GDP per capita in the Central American region","authors":"A. López-Marmolejo, C. Rodríguez-Caballero","doi":"10.15196/rs130301","DOIUrl":"https://doi.org/10.15196/rs130301","url":null,"abstract":"","PeriodicalId":44388,"journal":{"name":"Regional Statistics","volume":"1 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66868458","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}
Han-Sol Lee, A. Zobov, S. U. Chernikov, Yury N. Moseykin
This paper explores the impact of Russia’s services trade with 12 Asian countries of APEC member states for the period Q2, 2002–Q4, 2021. The purpose of this study is to reveal whether Asian countries can replace the roles of European countries even in the advanced service industry for the economic growth of Russia. The authors found a positive and significant impact of exports on the economic growth of Russia in ordinary least squares (OLS) and robust least squares estimations and that of openness and imports on it in a robust least squares estimation. From the vector autoregressive (VAR) Granger causality test, bidirectional causality between exports and the economic growth of Russia is revealed, while a unidirectional causality between openness (imports) and the economic growth of Russia is confirmed. However, the results of impulse response functions are rather vague, as the impacts of openness, exports, and imports are moving from negative to positive depending on the time period. The results in services trade, where Russia’s dependency on European countries is large, are helpful to induce future trade policy directions for the Russian government to strengthen partnerships with Asian countries in the short term. Further barrier reduction issues should be carefully considered by the Russian government with attention to the long-term implications of this policy.
{"title":"The impact of the services trade partnership with Asian countries of APEC on the economic growth in Russia, 2002-2021","authors":"Han-Sol Lee, A. Zobov, S. U. Chernikov, Yury N. Moseykin","doi":"10.15196/rs130406","DOIUrl":"https://doi.org/10.15196/rs130406","url":null,"abstract":"This paper explores the impact of Russia’s services trade with 12 Asian countries of APEC member states for the period Q2, 2002–Q4, 2021. The purpose of this study is to reveal whether Asian countries can replace the roles of European countries even in the advanced service industry for the economic growth of Russia. The authors found a positive and significant impact of exports on the economic growth of Russia in ordinary least squares (OLS) and robust least squares estimations and that of openness and imports on it in a robust least squares estimation. From the vector autoregressive (VAR) Granger causality test, bidirectional causality between exports and the economic growth of Russia is revealed, while a unidirectional causality between openness (imports) and the economic growth of Russia is confirmed. However, the results of impulse response functions are rather vague, as the impacts of openness, exports, and imports are moving from negative to positive depending on the time period. The results in services trade, where Russia’s dependency on European countries is large, are helpful to induce future trade policy directions for the Russian government to strengthen partnerships with Asian countries in the short term. Further barrier reduction issues should be carefully considered by the Russian government with attention to the long-term implications of this policy.","PeriodicalId":44388,"journal":{"name":"Regional Statistics","volume":"1 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66868180","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}
The spread of the COVID-19 pandemic has radically changed our views on regional resilience. This article examines the responses of Russian regional economies to the pandemic, identifying the common features and differences between them. This study emphasises that regions adapted to the factors of the pandemic in a non-linear manner. Thus, the socio-economic situation in the regions at the beginning of each wave is described by a new data structure. The latter, in its turn, is determined by the adaptation capabilities of the region. An affinity propagation algorithm was employed to cluster these regions. They were then grouped according to their responses to the pandemic. The results of the analysis showed that regional responses to the pandemic depended on sectoral specialisation, the level of socioeconomic development, and the degree of urbanisation. Low-urbanised regions with agro-industrial specialisation demonstrated a higher level of resilience. Innovation-active regions with many external linkages were the most vulnerable to shocks. One of the main conclusions is that economic diversification in the form of "unconnected diversity' acted as a shock absorber, diminishing the impact of the pandemic.
{"title":"Resilience of Russian regions in the face of COVID-19","authors":"O. Chernova, Danil Sergeyevich Gridnev","doi":"10.15196/RS130104","DOIUrl":"https://doi.org/10.15196/RS130104","url":null,"abstract":"The spread of the COVID-19 pandemic has radically changed our views on regional resilience. This article examines the responses of Russian regional economies to the pandemic, identifying the common features and differences between them. This study emphasises that regions adapted to the factors of the pandemic in a non-linear manner. Thus, the socio-economic situation in the regions at the beginning of each wave is described by a new data structure. The latter, in its turn, is determined by the adaptation capabilities of the region. An affinity propagation algorithm was employed to cluster these regions. They were then grouped according to their responses to the pandemic. The results of the analysis showed that regional responses to the pandemic depended on sectoral specialisation, the level of socioeconomic development, and the degree of urbanisation. Low-urbanised regions with agro-industrial specialisation demonstrated a higher level of resilience. Innovation-active regions with many external linkages were the most vulnerable to shocks. One of the main conclusions is that economic diversification in the form of \"unconnected diversity' acted as a shock absorber, diminishing the impact of the pandemic.","PeriodicalId":44388,"journal":{"name":"Regional Statistics","volume":"1 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66868018","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}
{"title":"Global embeddedness and local responses: Trends in income inequality in Hungary following the 2008 economic crisis","authors":"Z. Egri, Tamás Tánczos","doi":"10.15196/rs130407","DOIUrl":"https://doi.org/10.15196/rs130407","url":null,"abstract":"terms of income growth, growth factors","PeriodicalId":44388,"journal":{"name":"Regional Statistics","volume":"1 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66868201","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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