Pub Date : 2022-01-01DOI: 10.17323/1813-8691-2022-26-2-240-269
D. Avdeeva
{"title":"Human Capital Measures in Economic Growth Studies: An Overview","authors":"D. Avdeeva","doi":"10.17323/1813-8691-2022-26-2-240-269","DOIUrl":"https://doi.org/10.17323/1813-8691-2022-26-2-240-269","url":null,"abstract":"","PeriodicalId":37657,"journal":{"name":"HSE Economic Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67837994","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 : 2022-01-01DOI: 10.17323/1813-8691-2022-26-3-343-374
A. Volgin, V. Gimpelson
{"title":"Demand for Skills: Analysis Using Online Vacancy Data","authors":"A. Volgin, V. Gimpelson","doi":"10.17323/1813-8691-2022-26-3-343-374","DOIUrl":"https://doi.org/10.17323/1813-8691-2022-26-3-343-374","url":null,"abstract":"","PeriodicalId":37657,"journal":{"name":"HSE Economic Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67837782","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 : 2022-01-01DOI: 10.17323/1813-8691-2022-26-3-450-474
K. Polyakov, M. Polyakova, L. Zhukova
{"title":"The Structure of Management Quality Assessment of Russian Banks","authors":"K. Polyakov, M. Polyakova, L. Zhukova","doi":"10.17323/1813-8691-2022-26-3-450-474","DOIUrl":"https://doi.org/10.17323/1813-8691-2022-26-3-450-474","url":null,"abstract":"","PeriodicalId":37657,"journal":{"name":"HSE Economic Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67838908","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 : 2022-01-01DOI: 10.17323/1813-8691-2022-26-4-579-597
V. Gazman
The article presents the results of the conducted research, the purpose of which was to develop recommendations for the use of socio-economic benefits from the use of wind and solar energy in the environmental section of ESG instead of the most toxic generation – coal. On the basis of theoretical assumptions, the methodology developed by the author for determining the achieved savings is described in detail on the example of the largest energy enterprises Enel, Eni. The article presents not only the author's model, but also the calculations themselves with com-ments. The calculations carried out were carried out on the basis of the actual amount of carbon dioxide emissions charges, taking into account the damage caused, the number of people saved from premature death due to harmful emissions into the atmosphere, the economic cost of lives determined by the World Bank by country, the costs of treating emerging concomitant diseases, the social discount rate. This makes it possible to determine the real socio-economic effect of replacing fossil energy sources with cleaner energy carriers. The argumentation refuting the ar-gument about the occurrence of a significant increase in costs in the economy, which may arise due to the introduction of a fixed fee for harmful emissions, is presented. This allows you to set more accurate benchmarks and indicators in the environmental section of the ESG system and use them in attracting investors, forming ratings, and training specialists.
{"title":"Economic Assessment of CO2 Emissions in the Environmental Section of ESG","authors":"V. Gazman","doi":"10.17323/1813-8691-2022-26-4-579-597","DOIUrl":"https://doi.org/10.17323/1813-8691-2022-26-4-579-597","url":null,"abstract":"The article presents the results of the conducted research, the purpose of which was to develop recommendations for the use of socio-economic benefits from the use of wind and solar energy in the environmental section of ESG instead of the most toxic generation – coal. On the basis of theoretical assumptions, the methodology developed by the author for determining the achieved savings is described in detail on the example of the largest energy enterprises Enel, Eni. The article presents not only the author's model, but also the calculations themselves with com-ments. The calculations carried out were carried out on the basis of the actual amount of carbon dioxide emissions charges, taking into account the damage caused, the number of people saved from premature death due to harmful emissions into the atmosphere, the economic cost of lives determined by the World Bank by country, the costs of treating emerging concomitant diseases, the social discount rate. This makes it possible to determine the real socio-economic effect of replacing fossil energy sources with cleaner energy carriers. The argumentation refuting the ar-gument about the occurrence of a significant increase in costs in the economy, which may arise due to the introduction of a fixed fee for harmful emissions, is presented. This allows you to set more accurate benchmarks and indicators in the environmental section of the ESG system and use them in attracting investors, forming ratings, and training specialists.","PeriodicalId":37657,"journal":{"name":"HSE Economic Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67839052","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 : 2022-01-01DOI: 10.17323/1813-8691-2022-26-4-552-578
A. Surinov, A. Luppov
{"title":"Income Inequality and the Cost of Living at the Sub-Regional Level. Estimates for Russia","authors":"A. Surinov, A. Luppov","doi":"10.17323/1813-8691-2022-26-4-552-578","DOIUrl":"https://doi.org/10.17323/1813-8691-2022-26-4-552-578","url":null,"abstract":"","PeriodicalId":37657,"journal":{"name":"HSE Economic Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67839207","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 : 2021-01-01DOI: 10.17323/1813-8691-2021-25-1-102-128
V. Demchuk
{"title":"Insurance Company Performance within the Framework of Trade Agreements","authors":"V. Demchuk","doi":"10.17323/1813-8691-2021-25-1-102-128","DOIUrl":"https://doi.org/10.17323/1813-8691-2021-25-1-102-128","url":null,"abstract":"","PeriodicalId":37657,"journal":{"name":"HSE Economic Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67834697","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 : 2021-01-01DOI: 10.17323/1813-8691-2021-25-2-227-262
D. Lomonosov, A. Polbin, N. Fokin
In this work we build a Bayesian vector autoregression model to estimate the impact of global economic activity shocks, supply shocks in the global oil market, as well as speculative oil shocks on key macroeconomic variables of the Russian economy: GDP, household consumption, fixed capital investment, import, export, real effective exchange rate, real wages and income, MIACR interest rate and GDP deflator. The model uses real oil prices, the index of global economic activity, oil production and oil inventories as exogenous variables. The model parameters are estimated for the period from Q1 1999 to Q4 2019. The dynamics of four exogenous variables is described using a separate external vector autoregression model, which is estimated over an extended time period from Q1 1974 to Q4 2019 in order to more accurately estimateits parameters and identify shocks. Shocks are identified based on the approach proposed in [Kilian, Murphy, 2014], which uses sign restrictions and restrictions on the price elasticities of oil demand and oil supply. According to estimates of impulse responses, such variables as real household consumption, imports, and the exchange rate respond positively and statistically significantly to all three shocks leading to an increase in oil prices. However, a shock to global economic activity has a stronger impact. With an increase in oil prices for real GDP, investment and exports a stable and statistically significant positive impact is observed only when this price increase is due to a shock to global economic activity. The work also estimates a forecast error variance decomposition and a historical decomposition of the domestic variables by shocks, which indicate the prevailing role of shocks in global economics activity in the dynamics of Russian macroeconomic variables.
{"title":"The Impact of Global Economic Activity, Oil Supply and Speculative Oil Shocks on the Russian Economy","authors":"D. Lomonosov, A. Polbin, N. Fokin","doi":"10.17323/1813-8691-2021-25-2-227-262","DOIUrl":"https://doi.org/10.17323/1813-8691-2021-25-2-227-262","url":null,"abstract":"In this work we build a Bayesian vector autoregression model to estimate the impact of global economic activity shocks, supply shocks in the global oil market, as well as speculative oil shocks on key macroeconomic variables of the Russian economy: GDP, household consumption, fixed capital investment, import, export, real effective exchange rate, real wages and income, MIACR interest rate and GDP deflator. The model uses real oil prices, the index of global economic activity, oil production and oil inventories as exogenous variables. The model parameters are estimated for the period from Q1 1999 to Q4 2019. The dynamics of four exogenous variables is described using a separate external vector autoregression model, which is estimated over an extended time period from Q1 1974 to Q4 2019 in order to more accurately estimateits parameters and identify shocks. Shocks are identified based on the approach proposed in [Kilian, Murphy, 2014], which uses sign restrictions and restrictions on the price elasticities of oil demand and oil supply. According to estimates of impulse responses, such variables as real household consumption, imports, and the exchange rate respond positively and statistically significantly to all three shocks leading to an increase in oil prices. However, a shock to global economic activity has a stronger impact. With an increase in oil prices for real GDP, investment and exports a stable and statistically significant positive impact is observed only when this price increase is due to a shock to global economic activity. The work also estimates a forecast error variance decomposition and a historical decomposition of the domestic variables by shocks, which indicate the prevailing role of shocks in global economics activity in the dynamics of Russian macroeconomic variables.","PeriodicalId":37657,"journal":{"name":"HSE Economic Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67835547","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 : 2021-01-01DOI: 10.17323/1813-8691-2021-25-4-515-539
E. Kotyrlo, Y. Nikulina, A. Zaytsev
{"title":"Long-Term Trend Employment Decline in Russian Agriculture and Countersanctions Policy: Was There Any Effect?","authors":"E. Kotyrlo, Y. Nikulina, A. Zaytsev","doi":"10.17323/1813-8691-2021-25-4-515-539","DOIUrl":"https://doi.org/10.17323/1813-8691-2021-25-4-515-539","url":null,"abstract":"","PeriodicalId":37657,"journal":{"name":"HSE Economic Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67835683","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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