Political Geography and Foreign Direct Investment
This study identifies how country differences on a key cultural dimension—egalitarianism— influence the direction of different types of international investment flows. A society's cultural orientation toward egalitarianism is manifested by intolerance for abuses of market and political power and a desire for protecting the weak and less powerful actors. We show egalitarianism to be based on exogenous factors including social fractionalization, dominant religion circa 1900, and war experience from the 19th century era of state formation. Controlling for a large set of competing explanations, we find a robust influence of egalitarianism distance on cross-national investment flows of bond and equity issuances, syndicated loans, and mergers and acquisitions. An informal cultural institution largely determined a century or more ago, egalitarianism exercises its effect on international investment via an associated set of consistent contemporary policy choices. But even after controlling for these associated policy choices, egalitarianism continues to exercise a direct effect on cross-border investment flows, likely through its direct influence on managers’ daily business conduct.
Russian multinational enterprises (MNE) expanded widely in the late 1990s through the summer of 2008 at the onset of the global financial crisis of 2008. The emerging market MNEs have now become a subject of intensive study with a particular focus on the actions and behaviors of firms from Brazil, Russia, India, China, and South Africa (BRICS). This paper attempts to flesh out the reputational and corporate social responsibility (CSR) aspects of this internationalization process. The paper finds that in select cases the reputation of a Russia MNE does play a role in their activities and that these emergent firms recognize host country stakeholders as an audience for concern when conducting OFDI.
The issue of capital city relocation is a topic of debate for more than forty countries around the world. In this first book to discuss the issue, Vadim Rossman offers an in-depth analysis of the subject, highlighting the global trends and the key factors that motivate different countries to consider such projects, analyzing the outcomes and drawing lessons from recent capital city transfers worldwide for governments and policy-makers.
Drawing on the neo-institutional approach in organizational theory and global strategy, we advance a theory on the impact that differences in cultural egalitarianism have on multinational firms’ decision of where to engage in foreign direct investment (FDI) across the globe. Egalitarianism expresses a society’s cultural orientation with respect to intolerance for abuses of market and political power; it shapes the ways in which firms holding power interact with different stakeholders. After presenting a series of case illustrations, we find a strong negative impact of egalitarianism distance on FDI flows in a broad sample of nations and for different entry modes. Our results are robust to a broad set of competing accounts, including effects from other cultural dimensions, major features of the legal and regulatory regimes, other features of the institutional system, and economic development. These results hold while controlling for origin and host country factors through a fixed-effects specification as well as by using instruments for egalitarianism. We also find that other cultural influences are important as well. Differences in cultural harmony are actually positively associated with increased FDI flows, likely because multinational firms seek countries with lower societal support for entrepreneurship. FDI further tends to flow from high embeddedness to low embeddedness countries, and we link this in part to international regulatory arbitrage on environmental protection regimes.
Food industry plays a key role in each country. That is why the process of globalization makes the problem of ensuring safe production vary important, especially while attracting foreign capital. In this article the two mechanisms of the FDI distribution in Russian food industry companies are discussed. Special econometric tools for this analysis are also proposed. We investigate regional characteristics and the spatial lags (like factor of agglomeration, market potential and others) as determinants of the process. To test the influence of these determinants on the probability to have more than 10% of foreign capital in a company we estimate the hierarchical binary-choice models on a sample of Russian food industry companies (from RUSLANA database, on 2009). According to the results, the hierarchical diffusion of foreign investors is motivated by the seeking of local market and by seeking of the efficiency through lower transportation costs and better investment environment. The local resources in innovations are not significant on this level. When the investors develop new regions they take into account almost all the investigated regional characteristics. The logical complexification of a model allows not only to display the regional heterogeneity but also to determine the regions where the effect of some factors is irregular or more tangible. The development of transport infrastructure of the region and its spatial lag should be pointed out as one of the most substantial effects on the probability to have the FDI.
Observed and unobserved regional determinants of FDI inflows: micro level analysis of the food industry firms in Russia The development of Russian food industry is strategically important. Theoretically, the foreign capital inflow will help to renovate, modernize it and increase the productivity. But is it also interesting for foreign investors? What do foreign companies take into account when they invest in Russian food industry enterprises? Could it be special aspects of regional development (observed or unobserved) or only firm level data matters? Does the institutional environment in Russian regions significantly stimulate the inflow of foreign direct investment in Russian food industry enterprises or is the investor interested only in the size of a market? Two samples for 2009 and 2012 years of correspondingly about 5000 and about 7000 food industry companies of different subindustries from different Russian regions are analyzed to give the answer to these questions. The main idea of this investigation is to determine significant regional factors which effect the distribution of the FDI or to show that these items are not important for foreign investors. Russia has more than 80 regions and all of them are highly heterogeneous in terms of climate, geographical characteristics, level of economic and institutional development, industrial specialization, etc. Moreover, enterprises of different industries and subindustrues are different. In this research we take into account these facts investigating a hierarchical structure of the FDI distribution levels. This research consists of several parts: the theoretical part with hypotheses and the overview of the background and the empirical part with testing whether different regional characteristics like the infrastructure, taxation and the regulations in the region and in the neighboring ones play an important role. Spatial effects of these factors and of the economic development are also of our interest. The estimation of a multilevel binary model with spatial effects of analyzed factors gives the idea for the possible solution on the problem discovered above. The comparison of the results for two samples for different years and the investigation of dynamics also are taken into consideration.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.