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on Confederation of Independent States |
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Issue of 2017‒10‒08
27 papers chosen by |
| By: | Gulnara Dzhunushalieva (Russian Presidential Academy of National Economy and Public Administration, Russia) |
| Abstract: | "Objective – This article summarizes research into the social entrepreneurship movement based on databases which include respondents from the following countries: the Kyrgyz Republic, Republic of Belarus, Republic of Kazakhstan and Russian Federation. This article tries to relate the efficiency of social policy to social issues. Methodology/Technique – We selected 180 acting social enterprises and 36 from 4 post-soviet countries and conducted interviews and observations to create a database. Based on defined key criteria, different types of social actors were classified and grouped. Findings – The findings indicate that state funding for social services and social protection has fallen dramatically due to a sharp decline in GDP and in the residual shares of GDP allocated for social policy. Our analysis indicates that countries which experienced a transformation of government social policy have a greater variety of social actors. Through the database, we were able to define and classify 8 typical groups of social actors. Two of them - social activists and social reformers - can help a nation to create a new stable system for target social groups. Novelty – Originality of the findings of this article." |
| Keywords: | Social Entrepreneurship; Social Reformer; Social Activists, Social Policy; Problem Solution; Social Groups; Social Issues. |
| JEL: | L31 L38 |
| Date: | 2016–12–19 |
| URL: | http://d.repec.org/n?u=RePEc:gtr:gatrjs:jber113&r=cis |
| By: | Gunes Gokmen (New Economic School and the Center for the Study of Diversity and Social Interactions, Moscow); Evgeny Yakovlev (New Economic School, Moscow) |
| Abstract: | This paper assesses the effect of the Russo-Georgian conflict of 2008 on the well-being of minorities in Russia. Using the Russian Longitudinal Monitoring Survey (RLMS), we first provide evidence that, on impact, the well-being of Georgian nationals suffered negatively from the conflict of 2008, both in comparison to their own well-being across time and to the well-being of the Russian majority. We also show that this negative effect of conflict does not have a long-term legacy that goes beyond 2008. Additionally, we demonstrate that the conflict has no direct effect on the livelihoods or the labor market outcomes of Georgian nationals. Therefore, we attribute the negative effect of conflict on well-being to more indirect channels such as fear, altruism, or sympathy. We also analyze the spillover effects of the Russo-Georgian conflict on other minorities that live in Russia. We find that while the well-being of migrant minorities who have recently moved to Russia is negatively affected, there is no effect on local minorities who have been living in Russia for at least ten years. |
| Keywords: | Well-being, happiness, transition, conflict, minorities |
| JEL: | I31 N44 P2 |
| Date: | 2017–09 |
| URL: | http://d.repec.org/n?u=RePEc:cfr:cefirw:w0243&r=cis |
| By: | Svetlana Maximova (Altai State University, Russian Federation Author-2-Name: Maxim Maximov Author-2-Workplace-Name: Altai State University, Russian Federation Author-3-Name: Oksana Noyanzina Author-3-Workplace-Name: Altai State University, Russian Federation Author-4-Name: Daria Omelchenko Author-4-Workplace-Name: Altai State University, Russian Federation Author-5-Name: "Natalia Goncharova" Author-5-Workplace-Name: Altai State University, Russian Federation Author-6-Name: Anastasiia Morkovkina Author-6-Workplace-Name: "Lomonosov Moscow State University, Russian Federation ") |
| Abstract: | "Objective – The article presents an analysis of the relationship between generalized and institutional trust indicators and manifestation of civic representations, attitudes and behaviour in six Russian regions: Altai, Jewish Autonomous region, Trans-Baikal, Kemerovo, Omsk and Orenburg regions. Methodology/Technique – The data collected in 2015 from multistage stratified sample 2400 respondents and their age from 18 to 70 years. Findings – Among the studied regions, the highest levels of both interpersonal trust and confidence in social institutions were founded in the Jewish Autonomous Region, the lowest trust levels for many government entities and non-profit organizations are in the Trans-Baikal Territory, the Kemerovo Region and the Omsk region. The levels of civic participation are higher in regions with higher levels of trust. Novelty – The study suggests that trust, both interpersonal and institutional, are a factor in the development of civil society." |
| Keywords: | "Trust; Generalized Trust, Institutional Trust; Civic Attitudes; Civic Engagement; Civic Responsibility; NonProfit Organizations; Regions of Russian Federation. " |
| JEL: | Z13 Z18 |
| Date: | 2017–03–12 |
| URL: | http://d.repec.org/n?u=RePEc:gtr:gatrjs:jmmr124&r=cis |
| By: | Filip Novokmet (Paris School of Economics); Thomas Piketty (Paris School of Economics); Gabriel Zucman (University of California at Berkeley) |
| Abstract: | This paper combines national accounts, survey, wealth and fiscal data (including recently released tax data on high-income taxpayers) in order to provide consistent series on the accumulation and distribution of income and wealth in Russia from the Soviet period until the present day. We find that official survey-based measures vastly under-estimate the rise of inequality since 1990. According to our benchmark estimates, top income shares are now similar to (or higher than) the levels observed in the United States. We also find that inequality has increased substantially more in Russia than in China and other ex-communist countries in Eastern Europe. We relate this finding to the specific transition strategy followed in Russia. According to our benchmark estimates, the wealth held offshore by rich Russians is about three times larger than official net foreign reserves, and is comparable in magnitude to total household financial assets held in Russia. |
| Date: | 2017–07 |
| URL: | http://d.repec.org/n?u=RePEc:wel:wpaper:201709&r=cis |
| By: | Basher, Syed Abul; Haug, Alfred A.; Sadorsky, Perry |
| Abstract: | The impact that oil shocks have on stock prices in oil exporting countries has implications for both domestic and international investors. We derive the shocks driving oil prices from a fully-identified structural model of the oil market. We study their nonlinear relationship with stock market returns in major oil-exporting countries in a multi-factor Markov-switching framework. Flow oil-demand shocks have a statistically significant impact on stock returns in Canada, Norway, Russia, Kuwait, Saudi Arabia, and the UAE. Idiosyncratic oil-market shocks affect stock returns in Norway, Russia, Kuwait, Saudi Arabia and UAE. Speculative oil shocks impact stock returns in Canada, Russia, Kuwait and the UAE. Flow oil-supply shocks matter for the UK, Kuwait, and UAE. Mexico is the only country where stock returns are unaffected by oil shocks. These results shed important light on investor sentiment toward the relationship between oil shocks and stock markets in oil exporting countries. |
| Keywords: | Markov-switching; oil-exporting countries; oil-market shocks; stock returns |
| JEL: | E44 G15 Q43 |
| Date: | 2017–09–28 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:81638&r=cis |
| By: | Коровкин Андрей Германович (Институт народнохозяйственного прогнозирования) |
| Date: | 2017–09–26 |
| URL: | http://d.repec.org/n?u=RePEc:scn:mxreqp:21012017&r=cis |
| By: | Belke, Ansgar; Dreger, Christian; Dubova, Irina |
| Abstract: | The financial crisis led to a deep recession in many industrial countries. While large emerging countries recovered relatively quickly from the financial crisis, their performance deteriorated in the recent years, despite the modest recovery in advanced economies. The higher divergence of business cycles is closely linked to the Chinese transformation. During the crisis, the Chinese fiscal stimulus prevented a decline in GDP growth not only in that country, but also in resource-rich economies. The Chinese shift to consumption-driven growth led to a decline in commodity demand, and the environment became more challenging for many emerging markets. This view is supported by Bayesian VARs specified for the BRIC (Brazil, Russia, India, and China) countries. The results reveal a strong impact of international variables on GDP growth. In contrast to the other countries, China plays a crucial role in determining global trade and oil prices. Hence, the change in the Chinese growth strategy puts additional reform pressure on countries with abundant natural resources. |
| Keywords: | Business cycle divergence,Chinese transformation,Bayesian VARs |
| JEL: | F44 E32 C32 |
| Date: | 2017 |
| URL: | http://d.repec.org/n?u=RePEc:zbw:vfsc17:168110&r=cis |
| By: | Порфирьев Борис Николаевич (Институт народнохозяйственного прогнозирования) |
| Date: | 2017–09–25 |
| URL: | http://d.repec.org/n?u=RePEc:scn:mxreqp:17122016&r=cis |
| By: | Кувалин Дмитрий Борисович (Институт народнохозяйственного прогнозирования) |
| Date: | 2017–09–29 |
| URL: | http://d.repec.org/n?u=RePEc:scn:mxreqp:1062017&r=cis |
| By: | Семикашев Валерий Валерьевич (Институт народнохозяйственного прогнозирования) |
| Date: | 2017–08–23 |
| URL: | http://d.repec.org/n?u=RePEc:scn:mxreqp:02122016&r=cis |
| By: | Ивантер Виктор Викторович (Институт народнохозяйственного прогнозирования) |
| Date: | 2017–09–25 |
| URL: | http://d.repec.org/n?u=RePEc:scn:mxreqp:12122016&r=cis |
| By: | Порфирьев Борис Николаевич (Институт народнохозяйственного прогнозирования) |
| Date: | 2017–09–28 |
| URL: | http://d.repec.org/n?u=RePEc:scn:mxreqp:13052017&r=cis |
| By: | Ивантер Виктор Викторович (Институт народнохозяйственного прогнозирования) |
| Date: | 2017–09–28 |
| URL: | http://d.repec.org/n?u=RePEc:scn:mxreqp:1052017&r=cis |
| By: | Marek Dabrowski |
| Abstract: | Compared to previous attempts, especially those following the Orange Revolution in 2004, the current reform round in Ukraine (since 2014) has proved more successful. Some politically difficult decisions have been taken, such as the elimination of gas subsidies and the restructuring of the banking system. But reform remains incomplete in many important areas, such as local and regional self-government, public administration, the judiciary, law enforcement agencies, the energy sector and infrastructure, the pension system, privatisation and land ownership. Since near-disaster in February 2015, Ukraine’s macroeconomic situation has stabilised. The economy stopped declining in 2016. However, macroeconomic stability remains fragile and the recovery of 2016-17 looks rather weak given the scale of the previous decline. The window of political opportunity created by regime change and the mobilisation against external aggression in 2014-15 has not been used effectively as a springboard for reforming the dysfunctional Ukrainian economy and state. The window of opportunity now seems to be closing as Ukraine approaches a new electoral cycle in 2018-19. The external players, in particular, the International Monetary Fund, the European Union and the United States, have provided Ukraine with a substantial balance-of-payments and budgetary support, along with technical assistance. In addition, the EU opened its markets to Ukrainian exports and granted visa-free travel to Ukrainian citizens. However, the macroeconomic assumptions behind the IMF programmes have been too optimistic, and the IMF and the EU have not always set the right reform priorities. |
| Date: | 2017–09 |
| URL: | http://d.repec.org/n?u=RePEc:bre:polcon:22103&r=cis |
| By: | Ивантер Виктор Викторович (Институт народнохозяйственного прогнозирования) |
| Date: | 2017–09–26 |
| URL: | http://d.repec.org/n?u=RePEc:scn:mxreqp:04042017&r=cis |
| By: | Ивантер Виктор Викторович (Институт народнохозяйственного прогнозирования) |
| Date: | 2017–09–26 |
| URL: | http://d.repec.org/n?u=RePEc:scn:mxreqp:29012017&r=cis |
| By: | Кувалин Дмитрий Борисович (Институт народнохозяйственного прогнозирования) |
| Date: | 2017–09–26 |
| URL: | http://d.repec.org/n?u=RePEc:scn:mxreqp:19042017&r=cis |
| By: | Ивантер Виктор Викторович (Институт народнохозяйственного прогнозирования) |
| Date: | 2017–09–26 |
| URL: | http://d.repec.org/n?u=RePEc:scn:mxreqp:21032017&r=cis |
| By: | Кувалин Дмитрий Борисович (Институт народнохозяйственного прогнозирования) |
| Date: | 2017–09–25 |
| URL: | http://d.repec.org/n?u=RePEc:scn:mxreqp:14122016&r=cis |
| By: | Filip Novokmet (Paris School of Economics); Thomas Piketty (Paris School of Economics); Gabriel Zucman (University of California at Berkeley) |
| Abstract: | This appendix supplements our paper and describes the full set of data files and computer codes (NPZ2017.zip) that were used to construct the series. |
| Date: | 2017–07 |
| URL: | http://d.repec.org/n?u=RePEc:wel:wpaper:201710&r=cis |
| By: | Ивантер Виктор Викторович (Институт народнохозяйственного прогнозирования) |
| Date: | 2017–09–28 |
| URL: | http://d.repec.org/n?u=RePEc:scn:mxreqp:30052017&r=cis |
| By: | Ивантер Виктор Викторович (Институт народнохозяйственного прогнозирования) |
| Date: | 2017–09–26 |
| URL: | http://d.repec.org/n?u=RePEc:scn:mxreqp:26042017&r=cis |
| By: | Ивантер Виктор Викторович (Институт народнохозяйственного прогнозирования) |
| Date: | 2017–09–26 |
| URL: | http://d.repec.org/n?u=RePEc:scn:mxreqp:14022017&r=cis |
| By: | Буданов Игорь Анатольевич (Институт народнохозяйственного прогнозирования) |
| Date: | 2017–09–25 |
| URL: | http://d.repec.org/n?u=RePEc:scn:mxreqp:23112016&r=cis |
| By: | Волконский Виктор Александрович (Институт народнохозяйственного прогнозирования) |
| Date: | 2017–09–26 |
| URL: | http://d.repec.org/n?u=RePEc:scn:mxreqp:15022017&r=cis |
| By: | Rangan Gupta (University of Pretoria, Pretoria, South Africa and IPAG Business School, Paris, France); Tahir Suleman (School of Economics and Finance, Victoria University of Wellington, New Zealand and School of Business, Wellington Institute of Technology, New Zealand); Mark E. Wohar (College of Business Administration, University of Nebraska at Omaha, Omaha, USA and School of Business and Economics, Loughborough University, Leicestershire, UK) |
| Abstract: | This paper provides empirical evidence to the theoretical claim that rare disaster risks have predictability for exchange rate returns and volatility using a nonparametric quantile-based methodology. Using dollar-based exchange rates for Brazil, Russia, India, China, and South Africa, the quantile-causality test shows that indeed rare disaster-risks affects both returns and volatility over the majority of their respective conditional distributions. In addition, these effects are much stronger when compared to those using the British pound, especially in terms of currency returns |
| Keywords: | Exchange Rate Returns and Volatility, Rare Disasters, Nonparametric Quantile Causality |
| JEL: | C22 C58 G14 G15 |
| Date: | 2017–09 |
| URL: | http://d.repec.org/n?u=RePEc:pre:wpaper:201767&r=cis |
| By: | Dulat Shukayev (NJSC, Kazakhstan Author-2-Name: Zhanar Lamasheva Author-2-Workplace-Name: NJSC, Kazakhstan Author-3-Name: Almira Ayapbergenova Author-3-Workplace-Name: NJSC, Kazakhstan Author-4-Name: Bimurat Z. Author-4-Workplace-Name: NJSC, Kazakhstan) |
| Abstract: | "Objective – This article presents a functional diagram for implementing the investment program of the Development Bank of Kazakhstan and builds an outline of the pre-investment evaluation process. Methodology/Technique – A stepwise algorithm is created to conduct a preliminary appraisal of business proposals, and the criteria for assessing the borrower's condition are identified. Key criteria used in the investment performance analysis are discussed. The article develops a computer simulation approach to analysis and decision-making with respect to investment programs, with consideration of analytically non-formalisable stochastic distributions of parameters and processes. The paper also proposes a new method for optimizing the allocation of funds, given various priorities and risks, taking into account the instability and possible ill-conditioning of the optimization problem. Findings – The article formalizes the main stages of Development Bank's pre-investment activities in support of the government's innovative industrial development policy in the country's economy Novelty – Presented models and algorithms of the functional tasks for implementation of investment activities are sufficiently general to be relevant, not only for implementing the government's strategy in this direction, but also for the business interests of any bank or investment entity." |
| Keywords: | "Investment Selection Process; Development Bank of Kazakhstan; Investment Activities; Business Proposals; Optimizing." |
| JEL: | G11 G21 |
| Date: | 2017–02–27 |
| URL: | http://d.repec.org/n?u=RePEc:gtr:gatrjs:jfbr118&r=cis |