Socially responsible consumption in Russia: Testing the theory of planned behavior and the moderating role of trust

This paper adopts a multilevel approach to explore how socially responsible consumer behavior (SRCB) is shaped by a combination of micro‐level psychological drivers and specifics of the institutional context in which the behavior is performed. The model first applies the theory of planned behavior (TPB) to test the effects of TPB‐based behavioral predictors on the SRCB. Broad‐scope trust in business (BST) is then applied to the model as a variable that characterizes quality of an informal institutional environment, hypothesizing that BST moderates the relationship between TPB‐based behavioral antecedents and SRCB. The paper is based on a survey of 466 Russian consumers. Data were collected by self‐administered questionnaires completed by students and alumni of a large public university in Moscow. Results show that BST moderates the effects of TPB‐based predictors on SRCB. This implies that consumers who believe that the business is overall trustworthy are more likely to take company’s corporate social responsibility (CSR) into account when making purchasing decisions. This study contributes to the multilevel research on SRCB and CSR and adds to the literature on public trust in business as a nascent area of study. Its findings are especially relevant for companies operating in low‐trust environments, including postsocialist economies.     

HOME EQUITY IN RETIREMENT

Retired homeowners dissave more slowly than renters, which suggests that homeownership affects retirees' saving decisions. We investigate empirically and theoretically the life-cycle patterns of homeownership, housing, and nonhousing assets in retirement. Using an estimated structural model of saving and housing decisions, we find first that homeowners dissave slowly because they prefer to stay in their house as long as possible but cannot easily borrow against it. Second, the 1996–2006 housing boom significantly increased homeowners' assets. These channels are quantitatively significant; without considering homeownership, retirees' net worth would be 28%–44% lower, depending on age.     

Russian agriculture during Putin’s fourth term: a SWOT analysis

Russian agriculture is coming off a successful period under Minister Alexander Tkachev. Despite his successes, new agricultural leaders were named in May 2018 to guide agriculture during Putin’s fourth term. The article analyses the condition of and prospects for the agricultural sector during 2018–2024, using a SWOT framework (strengths, weaknesses, opportunities and threats). The analysis examines four strengths, six weaknesses, four opportunities and three threats.     

The Impact of Agricultural Import Tariff on Economic Growth： Evidence From Mercosur Countries

This research paper attempts to determine the relationship between agricultural import tariff and economic growth of Mercosur countries over the period 1996-2007 using regression analysis as well as evaluates the gains and losses from the group＇s trade policy over the same period. The introductory part of this paper focuses on the dynamics of changes in economic growth, trade, and import tariff of these countries over the last two decades. The results of the performed regression analysis of panel data suggest that trade liberalization has a quantitatively significant positive effect on growth. By using the coefficient estimates on tariff, the authors perform a quantitative evaluation of gains and losses from trade policy, for which tariff measures to trade （imports） are used as a proxy.     

How Does Stock Market React to Dividend Surprises? Evidence from Emerging Markets of India and Russia

In this article the authors empirically investigate information content of dividends announcements and average reaction of emerging markets of India and Russia to dividend surprises on the postcrisis period 2010 to 2014. The study applies an analysts’ expectations-based approach rarely used in academic literature. The authors conclude that the Russian market on average reacts negatively to good and bad dividend surprises; good dividend surprises on average trigger positive abnormal returns on Indian stocks, whereas bad and no surprises are associated with negative reactions of the Indian market. Results of the study are discussed from the perspective of dividend signaling theory, market efficiency, and investor behavior.     

Do the poor benefit from globalization regardless of institutional quality?

Despite significant progress towards the Millennium goals, more than one billion people live on less than 1.25 US dollars per day. Previous research suggests that globalization stimulates poverty reduction, but does not investigate what role institutions play in this relationship. Theoretically, globalization could act as either a complement or a substitute to institutional quality in reducing poverty. We find that the poverty-reducing effect of globalization is stronger when institutions are weak. In particular, increasing social globalization reduces poverty more when corruption is high and democratic accountability is low. Thus, globalization has the power to reduce poverty even in countries with low institutional quality.     

Risks Matrixes Risks Assessment Tools of Small and Medium-Sized Enterprises： The Case of Latvia

The enterprises need to assess the risk dynamic of financial instability and its impact on small and medium-sized enterprises＇ development, because it is important for enterprises to extend commercial activity and to open a new structural subdivision. We have researched types of risks, their identification, classification, and assessment possibilities in activities of small and medium-sized enterprises. We have used our own algorithm of identification, classification, and assessment of enterprises＇ risks. The goal of this research is to study the economic and financial risks＇ impact on small and medium-sized enterprises＇ development in Latvia. For study purpose, we have carried out the questionnaire of representative small and medium-sized enterprises about the economic and financial risks＇ impact on enterprises＇ development in Latvia. We have created classification of Latvian services sectors＇ economic and financial risks in the period from 2011 to 2012. Those risks have been included in the questionnaire. The risks matrix is a quantitative assessment tool of risks. We have created Latvian service sector economic and financial risks matrix. We have arranged risks by their sizes of possible losses for enterprises. For each risk has been assessed its probability of realization. We have created Latvian accommodations （hotel） and food services technological process risks map. Several parts of the risk map （segments） make it possible to assess each type of the risk separately in its segment. Risks matrix can be used to choose enterprises＇ strategy of risk management. Enterprise＇s strategy of risk management is developed by analysing zones of risk level.     

The Significance of CSF Among Enterprises in Latvia： An In-depth Analysis

The present research paper is dedicated to the in-depth analysis of the significance of critical-to-success factors （CSF） among enterprises in Latvia. The goal is to distinguish and find key success factors of Latvian companies who survived the economic crisis, which started in 2008, and executed the enabling objectives of the paper. Research methodology involves the analysis of the existing theoretical literature, in-depth interviews with the top management representatives of large Latvian business entities were interviewed by GFK （Custom Research Baltic agency） on behalf of the authors of the paper. It is found out that 10 largest industries for the big companies are： fuel retail and wholesale, energetics, food retail and wholesale, chemical products, logistics, metal processing, financial services, information technologies service and production, passenger transportation, and telecommunication services. For medium companies such industries are： food retail and wholesale, logistics, fuel retail and wholesale, wood processing, automotive industry, construction, financial services, pharmaceutical products, metal processing, and beverage wholesale and production. The authors also scrutinised 72 articles of 38 Forbes magazine archiving from the years 2010-2014. Thirty CSF were defmed. The most significant CSF according to the Forbes interviews are specific market niche, export, technological innovations, and high quality of products and services. The in-depth interviews with the top management representatives prove the importance of the above mentioned factors. Relevant recommendations are provided in the end of the paper.     

Information Externalities,Neighborhood Characteristics and Home Mortgage Pricing and Underwriting

Theories of rational redlining suggest thinness in housing markets should lead to greater uncertainty in house price appraisals, increasing mortgage denial rates or pricing. Empirical tests found support for this theory in mortgage underwriting using 1990s data. Using 2006 data and bank‐specific regression models, we revisit this topic in light of two developments leading to the recent mortgage bubble: the widespread securitization that allowed banks to shift loan risk to investors and the advent of risk‐based pricing. Consistent with expectations, we find that information externalities have become economically very small and have shifted from underwriting to pricing decisions.