Pub Date : 2023-01-01DOI: 10.17059/ekon.reg.2023-1-3
D. Gainanov, R. Gataullin, R. Safiullin
The Paris Agreement on climate change was adopted on December 12, 2015 by 197 states. Despite mutual sanctions between Russia and a group of countries led by the United States, the agree-ment remains in force. Since sanctions negatively affect the dynamics of the global economy, they cannot be perpetually imposed. Therefore, the state should be ready for any changes in foreign economic relations, including the lifting of sanctions and, in particular, fulfilment of the requirements of the Paris Agreement. To decarbonise the economy, regions have to take effective action and thoroughly assess the future work. The influence of the emission factor in each region is determined by the scale and structure of the econ-omy. The study presents a typology of regions based on the scale of production, functional localisation, vol-ume and structure of exports to non-CIS countries, volume and structure of exports by economic sectors subject to environmental taxation by the European Union and members of the Paris Agreement. Industrial regions, being major exporters of fuel and energy, chemistry and petrochemistry, metals, agricultural pro-duction, are more dependent on decarbonisation. Economically underdeveloped regions, such as Dagestan, Ingushetia, Kabardino-Balkaria, Kalmykia, Karachay-Cherkessia, Tyva, Chechnya and Jewish Autonomous Oblast, do not actively participate in the international division of labour and, consequently, do not depend on decarbonisation processes. Thus, the territorial differentiation of Russian regional systems should be considered when implementing socio-economic strategies, which take into account decarbonisation pro-cesses. Introduction of international hydrocarbon regulation by the European Union and transition to envi-ronmentally friendly technologies for the production of goods and services will require the territorial and structural transformation of regional economic systems.
{"title":"Typology of Russian Regional Systems in Connection with the Decarbonisation of the Economy","authors":"D. Gainanov, R. Gataullin, R. Safiullin","doi":"10.17059/ekon.reg.2023-1-3","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-1-3","url":null,"abstract":"The Paris Agreement on climate change was adopted on December 12, 2015 by 197 states. Despite mutual sanctions between Russia and a group of countries led by the United States, the agree-ment remains in force. Since sanctions negatively affect the dynamics of the global economy, they cannot be perpetually imposed. Therefore, the state should be ready for any changes in foreign economic relations, including the lifting of sanctions and, in particular, fulfilment of the requirements of the Paris Agreement. To decarbonise the economy, regions have to take effective action and thoroughly assess the future work. The influence of the emission factor in each region is determined by the scale and structure of the econ-omy. The study presents a typology of regions based on the scale of production, functional localisation, vol-ume and structure of exports to non-CIS countries, volume and structure of exports by economic sectors subject to environmental taxation by the European Union and members of the Paris Agreement. Industrial regions, being major exporters of fuel and energy, chemistry and petrochemistry, metals, agricultural pro-duction, are more dependent on decarbonisation. Economically underdeveloped regions, such as Dagestan, Ingushetia, Kabardino-Balkaria, Kalmykia, Karachay-Cherkessia, Tyva, Chechnya and Jewish Autonomous Oblast, do not actively participate in the international division of labour and, consequently, do not depend on decarbonisation processes. Thus, the territorial differentiation of Russian regional systems should be considered when implementing socio-economic strategies, which take into account decarbonisation pro-cesses. Introduction of international hydrocarbon regulation by the European Union and transition to envi-ronmentally friendly technologies for the production of goods and services will require the territorial and structural transformation of regional economic systems.","PeriodicalId":47897,"journal":{"name":"Cambridge Journal of Regions Economy and Society","volume":"167 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73395298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.17059/ekon.reg.2023-1-18
G. H. González, E. Sapir, A. Vasilchenko
Recent transformations following the global financial crisis of 2009, COVID-19 pandemic, supply chains disruptions and newest shocks have radically reshaped global production landscape and challenged comparative benefits of global production networks (GPN) vs global value chains (GVC) paradigms in international production analysis. The study tests the hypothesis that GPN concept allows for a better identification of structural shifts in international production structures while revealing regional patterns of cooperation. In the first section, the main methodological constraints of GVC paradigm are specified. Additionally, the reasons for the application of network-based approach to international production are outlined. The second section dissects the EU automotive manufacturing to support the theoretical propositions. While comparing GVC and GPN quantitative toolkits, the possible trade-off has been reached which is to calculate network indicators (transitivity, centrality, etc.) on the inter-country input-output tables. As a result, the hypothesis was confirmed. Specifically, betweenness centrality metric suggests that Czechia and Slovakia have immediately favoured a positive effect of the entry into the EU, whereas neither of GVC indicators reveals such a shift. Simultaneously, 2008 crisis is depicted via GVC indicators, whilst network metrics suggest no structural changes in the production system. These results corroborate to our theoretical juxtaposition of GVC/GPN approaches. The methodological cohesion of two sets of indicators further advances the views on European regional coreperiphery integration and automotive production networks dynamics. At the same time, the findings may contribute to the reassessment of regional integration developments in Europe, as well as in Latin America and Eurasia.
{"title":"Global Production Networks in the Regional Analysis Framework: Case of the EU Peripheral Automotive Manufacturing","authors":"G. H. González, E. Sapir, A. Vasilchenko","doi":"10.17059/ekon.reg.2023-1-18","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-1-18","url":null,"abstract":"Recent transformations following the global financial crisis of 2009, COVID-19 pandemic, supply chains disruptions and newest shocks have radically reshaped global production landscape and challenged comparative benefits of global production networks (GPN) vs global value chains (GVC) paradigms in international production analysis. The study tests the hypothesis that GPN concept allows for a better identification of structural shifts in international production structures while revealing regional patterns of cooperation. In the first section, the main methodological constraints of GVC paradigm are specified. Additionally, the reasons for the application of network-based approach to international production are outlined. The second section dissects the EU automotive manufacturing to support the theoretical propositions. While comparing GVC and GPN quantitative toolkits, the possible trade-off has been reached which is to calculate network indicators (transitivity, centrality, etc.) on the inter-country input-output tables. As a result, the hypothesis was confirmed. Specifically, betweenness centrality metric suggests that Czechia and Slovakia have immediately favoured a positive effect of the entry into the EU, whereas neither of GVC indicators reveals such a shift. Simultaneously, 2008 crisis is depicted via GVC indicators, whilst network metrics suggest no structural changes in the production system. These results corroborate to our theoretical juxtaposition of GVC/GPN approaches. The methodological cohesion of two sets of indicators further advances the views on European regional coreperiphery integration and automotive production networks dynamics. At the same time, the findings may contribute to the reassessment of regional integration developments in Europe, as well as in Latin America and Eurasia.","PeriodicalId":47897,"journal":{"name":"Cambridge Journal of Regions Economy and Society","volume":"108 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78780354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.17059/ekon.reg.2023-2-6
С. В. Дорошенко, О. В. Санаева, . SvetlanaV.DoroshenkoiD, O. Sanaeva
Nowadays, it is necessary to analyse the influence of various socio-economic factors on the regional heterogeneity of tobacco consumption in Russia, since there is a lack of econometric studies based on regional data. The present study aims to assess the impact of financial, economic and educational factors on tobacco consumption in Russian regions. To this end, a simultaneous quantile regression approach, resistant to outliers, was applied to separately estimate the influence of the above factors on regions classified as light and heavy smokers. Panel data on 82 Russian regions for the period 2005-2019 was examined. The dependent variable is the percentage of household expenditures on tobacco obtained from a sample survey of household budgets. The main independent variables are education, income, unemployment, loan debt. Control variables include alcohol consumption, male-to-female ratio, divorce rate, proportion of the rural population, binary variables. The invariance of the impact of factors relative to the percentiles of regions was revealed. The greatest differences are observed between light and heavy smokers regions (q10 and q90 groups). Individual loan debts, average per capita income, alcohol consumption, increase in excise tax, divorces and emergence of e-cigarettes are significant for regions with low tobacco consumption and insignificant for regions with high consumption. High consumption regions are greatly influenced by the male-to-female ratio, number of graduates of secondary vocational institutions and proportion of the rural population. Such factors as higher education, crises and anti-tobacco laws are significant for each quintile. The results can be used to improve state policy measures to reduce the consumption of nicotine products. The study is limited by the lack of regional data in terms of age and gender.
{"title":"Socio-Economic Determinants of Tobacco Consumption in Russian Regions","authors":"С. В. Дорошенко, О. В. Санаева, . SvetlanaV.DoroshenkoiD, O. Sanaeva","doi":"10.17059/ekon.reg.2023-2-6","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-2-6","url":null,"abstract":"Nowadays, it is necessary to analyse the influence of various socio-economic factors on the regional heterogeneity of tobacco consumption in Russia, since there is a lack of econometric studies based on regional data. The present study aims to assess the impact of financial, economic and educational factors on tobacco consumption in Russian regions. To this end, a simultaneous quantile regression approach, resistant to outliers, was applied to separately estimate the influence of the above factors on regions classified as light and heavy smokers. Panel data on 82 Russian regions for the period 2005-2019 was examined. The dependent variable is the percentage of household expenditures on tobacco obtained from a sample survey of household budgets. The main independent variables are education, income, unemployment, loan debt. Control variables include alcohol consumption, male-to-female ratio, divorce rate, proportion of the rural population, binary variables. The invariance of the impact of factors relative to the percentiles of regions was revealed. The greatest differences are observed between light and heavy smokers regions (q10 and q90 groups). Individual loan debts, average per capita income, alcohol consumption, increase in excise tax, divorces and emergence of e-cigarettes are significant for regions with low tobacco consumption and insignificant for regions with high consumption. High consumption regions are greatly influenced by the male-to-female ratio, number of graduates of secondary vocational institutions and proportion of the rural population. Such factors as higher education, crises and anti-tobacco laws are significant for each quintile. The results can be used to improve state policy measures to reduce the consumption of nicotine products. The study is limited by the lack of regional data in terms of age and gender.","PeriodicalId":47897,"journal":{"name":"Cambridge Journal of Regions Economy and Society","volume":"53 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90828769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.17059/ekon.reg.2023-1-2
I. Korshunov
The adoption of the UN 2030 Agenda for Sustainable Development by the Russian Federation in 2016 requires the introduction of the United Nations Sustainable Development Goals (SDGs) into na-tional strategies and policies. As most SDGs are already included in the main strategic planning documents, regional development strategies should be changed accordingly. This emerging practice of regional stra-tegic planning needs to be carefully studied. Based on the analysis of socio-economic strategies of eleven Russian regions included in the Northwestern Federal District, the present study shows the incorporation of the SDGs into regional strategic plans. The findings lead to the following conclusions. The implementa-tion of the SDGs in regional strategies is extremely heterogeneous, ranging from complete abstraction to their recognition as key development benchmarks. However, even the regions, which expressed the inten-tion to follow the UN Agenda in their strategies, did not establish clear plans for its implementation. The economic component of sustainable development is considered a priority, while social and environmen-tal components are underestimated, indicating that sustainable economic growth and related goals are seen as the main direction of regional development. Thus, sustainable development is yet to be achieved in the context determined by the UN Agenda and government strategic planning documents. It is necessary to further examine each region’s motivation for the introduction of the UN 2030 Agenda for Sustainable Development into regional strategies. Government and administrative bodies can use the research find-ings to improve approaches to strategic planning and management of the development of Russia and its regions.
{"title":"Sustainable Development in Regional Strategies: Approaches and Solutions","authors":"I. Korshunov","doi":"10.17059/ekon.reg.2023-1-2","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-1-2","url":null,"abstract":"The adoption of the UN 2030 Agenda for Sustainable Development by the Russian Federation in 2016 requires the introduction of the United Nations Sustainable Development Goals (SDGs) into na-tional strategies and policies. As most SDGs are already included in the main strategic planning documents, regional development strategies should be changed accordingly. This emerging practice of regional stra-tegic planning needs to be carefully studied. Based on the analysis of socio-economic strategies of eleven Russian regions included in the Northwestern Federal District, the present study shows the incorporation of the SDGs into regional strategic plans. The findings lead to the following conclusions. The implementa-tion of the SDGs in regional strategies is extremely heterogeneous, ranging from complete abstraction to their recognition as key development benchmarks. However, even the regions, which expressed the inten-tion to follow the UN Agenda in their strategies, did not establish clear plans for its implementation. The economic component of sustainable development is considered a priority, while social and environmen-tal components are underestimated, indicating that sustainable economic growth and related goals are seen as the main direction of regional development. Thus, sustainable development is yet to be achieved in the context determined by the UN Agenda and government strategic planning documents. It is necessary to further examine each region’s motivation for the introduction of the UN 2030 Agenda for Sustainable Development into regional strategies. Government and administrative bodies can use the research find-ings to improve approaches to strategic planning and management of the development of Russia and its regions.","PeriodicalId":47897,"journal":{"name":"Cambridge Journal of Regions Economy and Society","volume":"2015 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82623313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.17059/ekon.reg.2023-2-14
Н. М. Светлов, Nikolai M. Svetlov, Nikolai M. Svetlov — Dr
The impact of climate change on the social and institutional conditions of agriculture (as opposed to technological ones) in Russia has hardly been studied. With a limited budget, such research should examine a small sample of regions. To reduce the subjectivity, a formalised methodology for creating and ranking small samples of regions was developed. While occupying the largest possible share in the country’s gross agricultural production, the regions included in the sample should significantly differ in natural and agricultural zones, agricultural production efficiency, contribution of peasant farms to agricultural output. Unlike other methods, the proposed technique uses a linear programming problem, where all corner solutions are integer. Data envelopment analysis (DEA) was utilised to ensure the inclusion of both efficient and inefficient regions in the sample. In accordance with these requirements, Altai, Krasnoyarsk, Krasnodar krais and Moscow oblast were selected for analysis. For the regions included in at least one of the five best samples (such as Volgograd, Saratov and Leningrad oblasts), a model of partial equilibrium on the wholesale markets of agricultural products of the constituent entities of the Russian Federation (VIAPI model) was applied to assess the impact of scenario climate change on the output and wholesale prices of ten types of agricultural products. The research revealed that while the production in the selected regions is resistant to this influence, except for Altai and Krasnoyarsk krais, regional market prices are still rising due to the impact of world prices for milk products and grain.
{"title":"Methodology for Selecting Regions to Study the Adaptation of Agriculture to Climate Change","authors":"Н. М. Светлов, Nikolai M. Svetlov, Nikolai M. Svetlov — Dr","doi":"10.17059/ekon.reg.2023-2-14","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-2-14","url":null,"abstract":"The impact of climate change on the social and institutional conditions of agriculture (as opposed to technological ones) in Russia has hardly been studied. With a limited budget, such research should examine a small sample of regions. To reduce the subjectivity, a formalised methodology for creating and ranking small samples of regions was developed. While occupying the largest possible share in the country’s gross agricultural production, the regions included in the sample should significantly differ in natural and agricultural zones, agricultural production efficiency, contribution of peasant farms to agricultural output. Unlike other methods, the proposed technique uses a linear programming problem, where all corner solutions are integer. Data envelopment analysis (DEA) was utilised to ensure the inclusion of both efficient and inefficient regions in the sample. In accordance with these requirements, Altai, Krasnoyarsk, Krasnodar krais and Moscow oblast were selected for analysis. For the regions included in at least one of the five best samples (such as Volgograd, Saratov and Leningrad oblasts), a model of partial equilibrium on the wholesale markets of agricultural products of the constituent entities of the Russian Federation (VIAPI model) was applied to assess the impact of scenario climate change on the output and wholesale prices of ten types of agricultural products. The research revealed that while the production in the selected regions is resistant to this influence, except for Altai and Krasnoyarsk krais, regional market prices are still rising due to the impact of world prices for milk products and grain.","PeriodicalId":47897,"journal":{"name":"Cambridge Journal of Regions Economy and Society","volume":"68 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79546683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.17059/ekon.reg.2023-2-5
исследовательская статья, Zhanna A. Ermakova, N. Speshilova, Vyacheslav N. Shepel
Since digitalisation of the economy greatly affects the labour market, human resources in each constituent entity of Russia should be developed taking into account regional specialisation (agriculture, industry or other). Thus, the study aims to substantiate the determinants of human resources in regional economy by considering the dominance of various economic activities. Statistical data analysis, as well as comparison and causal analysis methods were utilised. The following significant determinants of human resources in regional economy were identified: the management system, labour availability and movement, vocational education system and, in particular, the role of local universities in it. The study suggested to introduce an automated intelligent decision support system (AIDSS) into the activities of regional authorities and proposed a methodological approach to the block-by-block organisation of data storage (on the example of Orenburg oblast). It is noted that the architecture and algorithm of AIDSS are being developed, which can be used for managing personnel, as well as for studying and predicting various factors affecting regional economy. The testing demonstrated that the population in Orenburg oblast has been decreasing since 2014. The share of rural population decreased more than the urban one; this factor negatively affected the reproduction of labour resources, considering economic specialisation of this regions. Orenburg oblast is characterised by slow implementation of innovations and the need to develop knowledge-intensive industries; therefore, it is necessary to intensify the training of highly qualified personnel (primarily at regional universities) competent to work in the conditions of digitalisation of the economy. Scientists and specialists in the field of human capital development can use the research findings to create state policies to ensure human resources in Russian regions.
{"title":"Determinants of Human Resources Considering Industry Specialisation","authors":"исследовательская статья, Zhanna A. Ermakova, N. Speshilova, Vyacheslav N. Shepel","doi":"10.17059/ekon.reg.2023-2-5","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-2-5","url":null,"abstract":"Since digitalisation of the economy greatly affects the labour market, human resources in each constituent entity of Russia should be developed taking into account regional specialisation (agriculture, industry or other). Thus, the study aims to substantiate the determinants of human resources in regional economy by considering the dominance of various economic activities. Statistical data analysis, as well as comparison and causal analysis methods were utilised. The following significant determinants of human resources in regional economy were identified: the management system, labour availability and movement, vocational education system and, in particular, the role of local universities in it. The study suggested to introduce an automated intelligent decision support system (AIDSS) into the activities of regional authorities and proposed a methodological approach to the block-by-block organisation of data storage (on the example of Orenburg oblast). It is noted that the architecture and algorithm of AIDSS are being developed, which can be used for managing personnel, as well as for studying and predicting various factors affecting regional economy. The testing demonstrated that the population in Orenburg oblast has been decreasing since 2014. The share of rural population decreased more than the urban one; this factor negatively affected the reproduction of labour resources, considering economic specialisation of this regions. Orenburg oblast is characterised by slow implementation of innovations and the need to develop knowledge-intensive industries; therefore, it is necessary to intensify the training of highly qualified personnel (primarily at regional universities) competent to work in the conditions of digitalisation of the economy. Scientists and specialists in the field of human capital development can use the research findings to create state policies to ensure human resources in Russian regions.","PeriodicalId":47897,"journal":{"name":"Cambridge Journal of Regions Economy and Society","volume":"10 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90985424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.17059/ekon.reg.2023-1-17
F. Firmansyah, S. Oktavilia, S. Handayani
The similarity of the industrial structure of the main industries in two neighboring regencies, Wonosobo and Temanggung, Indonesia, is expected to result in equality demand for intermediate and primary inputs. The neighbouring regencies are located in the mountainous area and had similarities in economic structure. The goals of this study were to analyse the economic structure, select 5 main sectors in each district, and compare the impact of the economic investment on the main sectors in order to identify the effectiveness of the investment in the same production sector in the context of its impact on the economy. This research employed independent Input-Output analysis using the 2016 Input-Output Tables of Wonosobo and Temanggung regencies to evaluate the flow of intersectoral transactions and develop a multiplier analysis to determine development strategies which are shock injections applied to each region. This study hypothesises that the increase of sectoral investments increases output which is relatively the same in 5 corresponding industries in both regions. The obtained results showed that the selected main sector included Trade, Other Food and Beverage Industries, Building, and Wood and Wood Materials Industries. The investment on the main industrial sector led to a higher improvement in Temanggung rather than in Wonosobo. By simulating investment policies in two adjoining regencies, the optimally economic impact on each region and the cooperation approach used to carry out development planning can be assessed.
{"title":"Industries Development with the Input-Output Analysis: Investment Simulation on Two Regencies in Indonesia","authors":"F. Firmansyah, S. Oktavilia, S. Handayani","doi":"10.17059/ekon.reg.2023-1-17","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-1-17","url":null,"abstract":"The similarity of the industrial structure of the main industries in two neighboring regencies, Wonosobo and Temanggung, Indonesia, is expected to result in equality demand for intermediate and primary inputs. The neighbouring regencies are located in the mountainous area and had similarities in economic structure. The goals of this study were to analyse the economic structure, select 5 main sectors in each district, and compare the impact of the economic investment on the main sectors in order to identify the effectiveness of the investment in the same production sector in the context of its impact on the economy. This research employed independent Input-Output analysis using the 2016 Input-Output Tables of Wonosobo and Temanggung regencies to evaluate the flow of intersectoral transactions and develop a multiplier analysis to determine development strategies which are shock injections applied to each region. This study hypothesises that the increase of sectoral investments increases output which is relatively the same in 5 corresponding industries in both regions. The obtained results showed that the selected main sector included Trade, Other Food and Beverage Industries, Building, and Wood and Wood Materials Industries. The investment on the main industrial sector led to a higher improvement in Temanggung rather than in Wonosobo. By simulating investment policies in two adjoining regencies, the optimally economic impact on each region and the cooperation approach used to carry out development planning can be assessed.","PeriodicalId":47897,"journal":{"name":"Cambridge Journal of Regions Economy and Society","volume":"81 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80091553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.17059/ekon.reg.2023-2-3
Jel O18, Т. Б. Мельникова, Tatyana B. Melnikova, Tatyana B. Melnikova — Cand, Sci. Econ
The ambiguity of the causal relationship between knowledge creation and regional growth does not indicate its insignificance, as proven by numerous empirical studies. However, such works rarely examine small towns, characterised by uncertainty of knowledge sources. The article aims to identify and compare groups of similar small towns in the Central, Ural and Southern Federal Districts by using a set of knowledge localisation factors. A two-stage clustering was performed by the k-means method according to the following criteria: interactions between actors, specific knowledge stock and financial resources for commercialisation. The resulting cluster centres were divided into quartiles according to the grading system (good, satisfactory or poor). First, the study revealed 10 clusters in the Central Federal District, 7 clusters in the Ural Federal District and 5 clusters in the Southern Federal District. In 35 % of the towns of the Southern Federal District, 35 % of the Central Federal District and 38 % of the Ural Federal District, the estimated specific knowledge stock exceeded the availability of financial resources. Second, towns were differentiated by population and divided into two groups depending on the agglomeration impact of larger cities. Clusters were formed within each group and federal district. 50 % of Ural towns with a population of 10,000 to 20,000 people unaffected by the agglomeration, as well as 62 % of towns with more than 20,000 people have the advantage of specific knowledge stock over financial resources. These values are 18 % and 8 %, respectively, for the Central Federal District, 36 % and 30 % for the Southern Federal District. The findings can help extend the analytical framework for making decisions on the small towns development. Future research may focus on establishing measures to improve the characteristics of clusters.
{"title":"Differentiation of Small Towns by Knowledge Localisation Factors","authors":"Jel O18, Т. Б. Мельникова, Tatyana B. Melnikova, Tatyana B. Melnikova — Cand, Sci. Econ","doi":"10.17059/ekon.reg.2023-2-3","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-2-3","url":null,"abstract":"The ambiguity of the causal relationship between knowledge creation and regional growth does not indicate its insignificance, as proven by numerous empirical studies. However, such works rarely examine small towns, characterised by uncertainty of knowledge sources. The article aims to identify and compare groups of similar small towns in the Central, Ural and Southern Federal Districts by using a set of knowledge localisation factors. A two-stage clustering was performed by the k-means method according to the following criteria: interactions between actors, specific knowledge stock and financial resources for commercialisation. The resulting cluster centres were divided into quartiles according to the grading system (good, satisfactory or poor). First, the study revealed 10 clusters in the Central Federal District, 7 clusters in the Ural Federal District and 5 clusters in the Southern Federal District. In 35 % of the towns of the Southern Federal District, 35 % of the Central Federal District and 38 % of the Ural Federal District, the estimated specific knowledge stock exceeded the availability of financial resources. Second, towns were differentiated by population and divided into two groups depending on the agglomeration impact of larger cities. Clusters were formed within each group and federal district. 50 % of Ural towns with a population of 10,000 to 20,000 people unaffected by the agglomeration, as well as 62 % of towns with more than 20,000 people have the advantage of specific knowledge stock over financial resources. These values are 18 % and 8 %, respectively, for the Central Federal District, 36 % and 30 % for the Southern Federal District. The findings can help extend the analytical framework for making decisions on the small towns development. Future research may focus on establishing measures to improve the characteristics of clusters.","PeriodicalId":47897,"journal":{"name":"Cambridge Journal of Regions Economy and Society","volume":"25 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83146452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.17059/ekon.reg.2023-1-20
V. Myakshin, V. Petrov, T. N. Pesiakova
Objective and reliable information on the investment results, as well as the methodology for their comprehensive assessment are necessary to make effective investment decisions. The conducted analysis of modern investment ratings revealed numerous methodological problems. Thus, the present study aims to develop a new and promising tool for examining the investment attractiveness of Russian regions and assessing the effectiveness of their investment policy. Kaplan and Norton’s balanced score-card model is used as the main research method. The configuration of the balanced scorecard was determined in accordance with the key investment factors; it includes four components: development; natural resource; political, economic and social; production and financial. The study identified main assessment indicators connected with the key investment factors and information needs of investment actors (pubic authorities, private investors, population). Additionally, the article proposed assessment methods and a measuring system based on the target values of indicators, depending on the objectives of regional investment policy. To determine the achievement of these objectives, the target and actual (showing the investment results) values of indicators were compared. The significant deviation of these values allowed us to establish priorities of regional investment policy. Based on the data from the Federal State Statistics Service, the developed methodology was tested on regions of the Russian Arctic. The natural resource component positively influences the investment attractiveness of these regions, while the development component has a negative impact. The revealed differentiation and multidirectional dynamics of integral indicators indicate an imbalance in certain areas of the investment policy of these regions (excluding the Republic of Sakha (Yakutia)), limiting the realisation of their investment potential. Based on the research results, ways to increase regional investment attractiveness were described.
{"title":"Methodology for Assessing the Effectiveness of Investment Policy in Russian Regions","authors":"V. Myakshin, V. Petrov, T. N. Pesiakova","doi":"10.17059/ekon.reg.2023-1-20","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-1-20","url":null,"abstract":"Objective and reliable information on the investment results, as well as the methodology for their comprehensive assessment are necessary to make effective investment decisions. The conducted analysis of modern investment ratings revealed numerous methodological problems. Thus, the present study aims to develop a new and promising tool for examining the investment attractiveness of Russian regions and assessing the effectiveness of their investment policy. Kaplan and Norton’s balanced score-card model is used as the main research method. The configuration of the balanced scorecard was determined in accordance with the key investment factors; it includes four components: development; natural resource; political, economic and social; production and financial. The study identified main assessment indicators connected with the key investment factors and information needs of investment actors (pubic authorities, private investors, population). Additionally, the article proposed assessment methods and a measuring system based on the target values of indicators, depending on the objectives of regional investment policy. To determine the achievement of these objectives, the target and actual (showing the investment results) values of indicators were compared. The significant deviation of these values allowed us to establish priorities of regional investment policy. Based on the data from the Federal State Statistics Service, the developed methodology was tested on regions of the Russian Arctic. The natural resource component positively influences the investment attractiveness of these regions, while the development component has a negative impact. The revealed differentiation and multidirectional dynamics of integral indicators indicate an imbalance in certain areas of the investment policy of these regions (excluding the Republic of Sakha (Yakutia)), limiting the realisation of their investment potential. Based on the research results, ways to increase regional investment attractiveness were described.","PeriodicalId":47897,"journal":{"name":"Cambridge Journal of Regions Economy and Society","volume":"298 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75807862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.17059/ekon.reg.2023-2-16
T. Belova, I. N. Chernyshov, R. Gubanov
The state policy of protectionism in the agri-food sector yielded ambiguous results, such as success in agriculture and achievement of food security thresholds on the one hand, and a sharp increase in food prices on the other. Sugar market has satisfied domestic demand and therefore needs either export expansion or production restriction. The article analyses the development dynamics of the sugar beet industry and sugar consumer market in 2000-2021. The study aims to assess the effectiveness of existing state support measures in the sugar market, considering changes in import substitution. It is hypothesised that in case of saturation of the market with domestic products, the state should support consumers rather than producers. Statistical data analysis and simulation modelling were used as the main research methods. Nominal Protection Coefficient (NPC) was chosen to indicate changes in state support. Domestic market volume under constant demand was assessed. Given that the average per capita sugar consumption remains at 39 kg/person, domestic consumption is 5.8 million tonnes. Considering current production volumes (7.6 million tonnes), the equilibrium price of sugar is estimated at 37 roubles/kg. Calculated NPC values show the dominance of market price transfers for sugar producers. Thus, it is necessary to switch to unrelated support measures for strengthening the effect of market mechanisms. The results can be adapted to develop specific agricultural policy instruments. Future research may conduct deeper structural analysis of selected segments of food markets in order to identify regional and corporate characteristics of participant interaction and adjustment of state regulation measures.
{"title":"Product Segments of the Agri-food Market: Unified Approach or Targeted State Regulation","authors":"T. Belova, I. N. Chernyshov, R. Gubanov","doi":"10.17059/ekon.reg.2023-2-16","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-2-16","url":null,"abstract":"The state policy of protectionism in the agri-food sector yielded ambiguous results, such as success in agriculture and achievement of food security thresholds on the one hand, and a sharp increase in food prices on the other. Sugar market has satisfied domestic demand and therefore needs either export expansion or production restriction. The article analyses the development dynamics of the sugar beet industry and sugar consumer market in 2000-2021. The study aims to assess the effectiveness of existing state support measures in the sugar market, considering changes in import substitution. It is hypothesised that in case of saturation of the market with domestic products, the state should support consumers rather than producers. Statistical data analysis and simulation modelling were used as the main research methods. Nominal Protection Coefficient (NPC) was chosen to indicate changes in state support. Domestic market volume under constant demand was assessed. Given that the average per capita sugar consumption remains at 39 kg/person, domestic consumption is 5.8 million tonnes. Considering current production volumes (7.6 million tonnes), the equilibrium price of sugar is estimated at 37 roubles/kg. Calculated NPC values show the dominance of market price transfers for sugar producers. Thus, it is necessary to switch to unrelated support measures for strengthening the effect of market mechanisms. The results can be adapted to develop specific agricultural policy instruments. Future research may conduct deeper structural analysis of selected segments of food markets in order to identify regional and corporate characteristics of participant interaction and adjustment of state regulation measures.","PeriodicalId":47897,"journal":{"name":"Cambridge Journal of Regions Economy and Society","volume":"24 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88066579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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