Mirzat Ullah, Kazi Sohag, Shabeer Khan, Hafiz M. Sohail
{"title":"Impact of Russia–Ukraine conflict on Russian financial market: Evidence from TVP-VAR and quantile-VAR analysis","authors":"Mirzat Ullah, Kazi Sohag, Shabeer Khan, Hafiz M. Sohail","doi":"10.32609/j.ruje.9.105833","DOIUrl":"https://doi.org/10.32609/j.ruje.9.105833","url":null,"abstract":"This study aims to analyze the repercussions of the Russia–Ukraine conflict on the Russian financial market, focusing on the main stock market and sectorial stock indices. High-frequency hourly data from September 12, 2021, to April 29, 2022, covering the period before and after the outbreak of conflict, is utilized for analysis. The empirical investigation employs the TVP-VAR and Quantile-VAR connectedness approaches. Our findings indicate a significant impact of the conflict on the Russian stock market, leading to increased market risk during the event period. Notably, certain sectors, including oil and gas, utilities, metals & mining, financials, consumer goods, and services exerted more influence on other sectors, while chemicals, transport, and telecoms were influenced by other sectors. These insights are crucial for comprehending the financial implications of the ongoing conflict on the local economy, providing valuable guidance to portfolio managers, investors, and policymakers in devising effective financial strategies.","PeriodicalId":36642,"journal":{"name":"Russian Journal of Economics","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135739403","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":"The Russian labor market: Long-term trends and short-term fluctuations","authors":"Rostislav I. Kapeliushnikov","doi":"10.32609/j.ruje.9.113503","DOIUrl":"https://doi.org/10.32609/j.ruje.9.113503","url":null,"abstract":"This paper provides a statistical portrait of the Russian labor market during the latest period of 2010–2022. The analysis delves into both the long-term trends in its evolution and short-term fluctuations associated with its adjustment to economic downturns. The most noteworthy among the long-term changes are a gradual shrinkage of the labor force and employment, the transition to record low unemployment, a sharp acceleration in worker turnover, and the emergence of an extensive overhang of unfilled job vacancies. During the period under review, the Russian economy experienced three strong adverse macroeconomic shocks — the first sanctions crisis in 2014–2015, the corona crisis in 2000–2021, and the second sanctions crisis, which began in 2022 and is still far from over. The paper provides the evidence that the Russian labor market has retained the same algorithm for accommodation to economic downturns, which it developed back in the 1990s. A distinctive feature of this specific model is that the negative shocks are absorbed predominantly through declines in wages and reductions in working hours, rather than through contraction of employment and surge in unemployment. The general conclusion is that the Russian labor market is undergoing a transition from a functional regime marked by tight labor demand to another characterized by tight labor supply.","PeriodicalId":36642,"journal":{"name":"Russian Journal of Economics","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135696582","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":"The measurement of green economic quality in the BRICS countries: Should they prioritize financing for environmental protection, economic growth, or social goals?","authors":"Duc-Huu Nguyen, I. Khominich","doi":"10.32609/j.ruje.9.101612","DOIUrl":"https://doi.org/10.32609/j.ruje.9.101612","url":null,"abstract":"The study presents a Green Economy Index that evaluates the quality of green economies in the BRICS countries based on three pillars: environment, economic performance, and quality of green living. Research findings suggest that the BRICS nations are gradually shifting their focus from mere economic growth to encompassing environmental, social welfare, and equality concerns. Russia showcased the best balance among these three pillars from 2011 to 2020, while India and China made notable strides. Nevertheless, Brazil and South Africa face obstacles in improving their economies and increasing social welfare. The indicators highlight specific challenges each country must address, including high unemployment in Brazil and South Africa, low energy intensity in Russia and China, and air pollution and low Human Development Index in India, alongside shared issues like low government transparency. Based on the research significant findings, the study attempts to address whether the BRICS nations should prioritize financing environmental protection, economic growth, or social goals to maintain a balance among all the three pillars and achieve their green economy objectives.","PeriodicalId":36642,"journal":{"name":"Russian Journal of Economics","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87460925","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":"Geopolitical risk and military expenditures: Evidence from the US economy","authors":"Osama D. Sweidan","doi":"10.32609/j.ruje.9.97733","DOIUrl":"https://doi.org/10.32609/j.ruje.9.97733","url":null,"abstract":"Exploring the nexus between geopolitical risk (GPR) and military expenditures (ME) has been limited during the past period. It is justified by the absence of a well-published proxy for GPR. Recently, the work of Caldara and Iacoviello (2022) stimulated scholars to examine the consequences of GPR. Our paper seeks to understand the relationship between GPR and ME in the United States (US). It designs a theoretical framework and computes an econometric model using the Autoregressive Distributed Lag methodology based on annual data (1960–2021). In addition, it uses the pairwise Toda–Yamamoto causality test. The results show that the relationship between GPR and ME is one of unidirectional causality and runs from ME to GPR in the US. Further, this relationship is statistically significant and positive in the short and long run. This finding supports our hypothesis that the USGPR is a consequence of resource allocation, i.e., ME, and can be controlled, directed, and mitigated. Thus, ME is a tool to achieve the US international hegemony’s strategic goals. From a policy implication perspective, it has been proved that GPR has broad negative consequences for various economies. Thus, moving toward cooperation and coordination with other nations instead of accumulating ME tends to support the international economy.","PeriodicalId":36642,"journal":{"name":"Russian Journal of Economics","volume":"69 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89019937","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":"Unrealized opportunities: Exploring Russia’s untapped OFDI potentials amidst economic sanctions","authors":"I. Drapkin, A. Fedyunina, Y. Simachev","doi":"10.32609/j.ruje.9.104661","DOIUrl":"https://doi.org/10.32609/j.ruje.9.104661","url":null,"abstract":"The economic sanctions imposed by the United States, Europe, and other countries since 2014 have heightened the unpredictability and turbulence in the business environment for Russian firms, necessitating exploration of new international partners and transformation of economic relationships. This paper aims to examine the redirection of Russian outward foreign direct investment (OFDI) in the context of these economic sanctions, particularly those intensified since 2022. The analysis employs an estimated econometric model to compare actual and potential levels of OFDI, utilizing a comprehensive database covering 74 origin and 102 destination countries from 2010 to 2019. The estimation technique employs Poisson pseudo-maximum likelihood approaches. The findings indicate that Russian firms demonstrated underinvestment in most regions, except for Northern and Western Europe, during the examined period. The 2014 sanctions resulted in a significant decline in Russian OFDI to the countries imposing sanctions, while there was an increase in OFDI to Asia, the Middle East, and the CIS countries. As anticipated, the 2022 sanctions exerted additional pressure on Russian OFDI, leading to a further shift of their outflows towards Asia and the Middle East, which, however, could not compensate for the sharp decline in OFDI to the EU countries and North America. The results highlight the existence of untapped OFDI potential for Russia in African and Latin American countries as well as in the Middle East. These regions emerge as desirable partners for bilateral economic liberalization. From a policy perspective, the findings emphasize the importance for the Russian Federation to pursue deep trade agreements that encompass investment preferences, public procurement, and the protection of intellectual property rights with regions harboring untapped potential for OFDI. Additionally, expanding government support for domestic firms venturing abroad is crucial to sustain and enhance integration into the global economy, especially in the face of sanctions.","PeriodicalId":36642,"journal":{"name":"Russian Journal of Economics","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89026460","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":"The effect of FDI on the host countries’ employment: A meta-regression analysis","authors":"D. R. Hakim, E. Ahman, K. Kusnendi","doi":"10.32609/j.ruje.9.98252","DOIUrl":"https://doi.org/10.32609/j.ruje.9.98252","url":null,"abstract":"This study performed a meta-regression analysis (MRA) to reexamine the effect of foreign direct investment (FDI) on the host countries’ employment. We detected a publication bias and heterogeneity between studies by employing 61 publications with 477 estimates as the dataset. Studies that do not control for endogeneity suffer an upward publication bias. In contrast, we found a downward publication bias in the studies that control endogeneity. After correcting that bias, we found a small positive effect of FDI on the host countries’ employment as the genuine effect. By using the Bayesian Model Averaging (BMA) analysis, we found six moderator variables that could explain heterogeneity. These moderator variables are related to the FDI and employment measurement type, data characteristics, FDIreceiving countries, and estimation methods.","PeriodicalId":36642,"journal":{"name":"Russian Journal of Economics","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80624928","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":"General equilibrium model with the entrepreneurial sector for the Russian economy","authors":"E. V. Martyanova, A. Polbin","doi":"10.32609/j.ruje.9.105790","DOIUrl":"https://doi.org/10.32609/j.ruje.9.105790","url":null,"abstract":"This paper proposes a general equilibrium model with the entrepreneurial sector for the Russian economy. The novelty of the model lies in several points. First, the model is a small open economy. Second, it includes the entrepreneurial sector. Third, the model reflects the main features of the Russian economy. Five experiments were conducted, for which steady states and transitions were computed. These experiments included: (1) an export price shock, (2) redistribution of government consumption between the corporate and entrepreneurial sectors, (3) relaxation of collateral requirements, (4) a credit rate subsidy for entrepreneurs, (5) VAT for entrepreneurs. The export price shock results in lower entrepreneurial output due to higher wages in the short run, but in the long run the positive effects of increased demand and assets lead to higher output. Increased government consumption of entrepreneurial goods leads to a reallocation of resources from the corporate sector to the entrepreneurial one. The relaxation of collateral requirements leads to a sharp increase in entrepreneurial investment and capital and a decline in the number of entrepreneurs, which means that they become bigger. The credit rate subsidy leads to an increase in capital in the entrepreneurial sector, and then in output. The cost of subsidies leads to a decrease in lump-sum transfers, but this does not lead to a significant change in household consumption. The introduction of a value-added tax on entrepreneurial goods leads to a redistribution of resources from the entrepreneurial sector to the corporate one, lower household consumption and higher GDP.","PeriodicalId":36642,"journal":{"name":"Russian Journal of Economics","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84449423","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":"Emerging economies and investment in intellectual capital in crisis time: The case of Russia","authors":"C. Jardon, Xavier Martinez Cobas","doi":"10.32609/j.ruje.9.81283","DOIUrl":"https://doi.org/10.32609/j.ruje.9.81283","url":null,"abstract":"Emerging economies have specific characteristics that condition the use of intellectual capital. The economic crisis has had important consequences for emerging countries. The investments in intellectual capital could slow down this influence. This paper uses a new model for assessing the effects of an investment in intellectual capital on the performance of Russian companies in a period of crisis. The model is applied in Russian companies with data from 1,096 companies for the period 2004–2014 and 12,056 observations were made. The panel data included only active companies (from January 2004) listed with annual reports and were obtained from Bureau Van Dijk’s Ruslana database. Each company’s data cover at least seven years. The study used hierarchical linear models to unravel the effect of intellectual capital on value-added. The results show that investments in structural capital and relational capital have a direct effect on the stock of intellectual capital and generates value. The results show that investments in structural capital and relational capital have a direct effect on the stock of intellectual capital and generates value.","PeriodicalId":36642,"journal":{"name":"Russian Journal of Economics","volume":"83 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80640432","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":"Measuring climate-credit risk relationship using world input-output tables","authors":"H. Penikas, E. Vasilyeva","doi":"10.32609/j.ruje.9.83891","DOIUrl":"https://doi.org/10.32609/j.ruje.9.83891","url":null,"abstract":"The Basel Committee recommended the use of input-output tables to properly measure climate risks. However, the majority of previous studies only limits the use of input-output tables to carbon emissions and this is not applied in climate risk ratings. The existing climate (E) risk ratings (scores) was modified or transformed from Sustainalytics to the full climate risk scores using input-output tables. Positive relationship between credit risks and the full climate risk estimates at the industry level was identified, and this justifies the interest rate discount granted to firms in the green industries. Thus, for the purpose of lending the full degree of greenness derived from input-output tables should be considered, not substituting this by the easily observable and publicly available marginal climate risk ratings like those provided by Sustainalytics.","PeriodicalId":36642,"journal":{"name":"Russian Journal of Economics","volume":"74 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84399186","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":"Thirty years of economic transition in the former Soviet Union: Microeconomic and institutional dimensions","authors":"Marek A. Dąbrowski","doi":"10.32609/j.ruje.9.104761","DOIUrl":"https://doi.org/10.32609/j.ruje.9.104761","url":null,"abstract":"The post-communist transition in the former Soviet Union (FSU) cannot be considered entirely successful, especially in the political and institutional spheres. Nevertheless, in the economic sphere, the transition process succeeded in rebuilding the foundations of market economies based on private ownership by the early 2000s, even if the adopted policies and institutions have proved suboptimal and distortive in many countries. The transition experience in the FSU region has demonstrated a correlation between political and economic reforms, with a strong impact of the former on the latter. The deficit of democracy, civil freedoms and the rule of law has negatively impacted the course of the economic transition, causing significant delay, distortions and partial reversals.","PeriodicalId":36642,"journal":{"name":"Russian Journal of Economics","volume":"61 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79169637","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}