20 research outputs found

    FDI liberalization, firm heterogeneity and foreign ownership: German firm decisions in reforming India

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    The paper investigates the role of firm-level productivity and industry-level R&D for MNEs' choice of undertaking FDI, and the share of ownership in foreign affiliates. Two firm-specific datasets on German MNEs with varying equity stakes in Indian affiliates are used to account for the two-step decision process. The paper also analyses how German firm decisions were affected by the liberalisation of FDI regulations in India. Results show remarkable differences between the selection and the ownership share equation, and also between the pre-reform and post-reform periods. The evidence clearly reveals the tradeoffs involved in selective FDI approvals and foreign ownership restrictions. --multinational enterprises,firm characteristics,selective FDI approval,German FDI,ownership share,Heckman model

    The role of FDI in structural change : evidence from Mexico

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    Foreign direct investment (FDI)flows to Mexico are substantial and play an important role in the Mexican economy since the mid-1990s. These investments reflect the activities of multinational firms that shape to some extent the economic landscape and sectoral structure in this host country. We illustrate that there is considerable variation in the amounts of FDI and structural change within the country and across time. Based on this, the papers main purpose is to analyze whether there is a significant impact of FDI on structural change. We conduct an empirical analysis covering the period 2006-2016. We use the fixed-effects estimator where the unit of observation is a Mexican state for which we calculate structural change from the reallocation of labor between sectors. The results suggest that (if any) there is a positive effect from FDI on growth-enhancing structural change. This effect depends critically on the lag structure of FDI. Moreover, there is some evidence that the positive effect (i) arises from FDI flows in the industry sector and (ii) is present for medium- and low-skilled labor reallocation

    Decomposing a decomposition : within-country differences and the role of structural change in productivity growth

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    In this article, we investigate the relevance of structural change in country wide productivity growth considering within-country differences. For this purpose, we propose a two-step decomposition approach that accounts for differences among subnational units. To highlight the relevance of our procedure compared to the prevalent approach in the existing development literature (which usually neglects subnational differences), we show an application with data for the Mexican economy. Specifically, we contrast findings obtained from country-sector data on the one hand with those obtained from (more disaggregated) state-sector data on the other hand. One main insight is that the qualitative and quantitative results differ substantially between the two approaches. Our procedure reveals that structural change appeared to be growth-reducing during the period from 2005 to 2016. We show that this negative effect is driven mainly by the reallocation of (low-skilled) labor within subnational units

    Structural transformation and its relevance for economic growth in sub-Saharan Africa

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    In this paper, we analyse the role of structural transformation in view of the remarkable growth performance of sub-Saharan African countries since the mid-1990s. Our analysis covers 41 African countries over the period 1980 to 2014 and accounts for structural transformation by employing the analytical frameworks of (1) growth decomposition and (2) growth regression. Even though the low-productive agricultural sector continues to employ most of the African workforce, our results reveal that structural transformation has taken place and that it has contributed significantly to African growth in the past decades

    Searching for a Stochastic Background of Gravitational Waves with LIGO

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    The Laser Interferometer Gravitational-wave Observatory (LIGO) has performed the fourth science run, S4, with significantly improved interferometer sensitivities with respect to previous runs. Using data acquired during this science run, we place a limit on the amplitude of a stochastic background of gravitational waves. For a frequency independent spectrum, the new limit is ΩGW<6.5×10−5\Omega_{\rm GW} < 6.5 \times 10^{-5}. This is currently the most sensitive result in the frequency range 51-150 Hz, with a factor of 13 improvement over the previous LIGO result. We discuss complementarity of the new result with other constraints on a stochastic background of gravitational waves, and we investigate implications of the new result for different models of this background.Comment: 37 pages, 16 figure

    FDI by Early Movers, Followers and Latecomers: Timing of Entry by German Firms during Transition in the Czech Republic

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    Theoretical considerations suggest that the option of waiting under conditions of uncertainty affects the relative importance of firm-level productivity and distance-related transaction costs as driving forces of FDI. Yet the timing of FDI has received little attention in the empirical literature on FDI determinants. To help close this gap we analyze FDI decisions by German firms with and without affiliates in the Czech Republic at different stages of transition. We find that FDI entry strongly depends on firm productivity immediately after the political and economic regime change, but less so with diminishing uncertainty. Likewise, distance-related transaction costs discourage FDI by latecomers considerably less than FDI by early moversmultinational enterprises, firm-level productivity, distance, timing of FDI

    Firm Heterogeneity, Industry Characteristics and Types of FDI: The Case of German FDI in the Czech Republic

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    In addition to firm and industry characteristics, the heterogeneity of foreign direct investment (FDI) has to be taken into account when analyzing the determinants of outward FDI. We combine two firm-specific datasets on German firms with subsidiaries and joint ventures in the Czech Republic, compared to a control group of German firms without FDI in this host country. The impact of firm and industry characteristics on FDI decisions is assessed by estimating two-step Heckman models. We find that larger, more productive and more experienced firms are more likely to invest in the Czech Republic. Firm characteristics also affect the size of FDI in manufacturing. The relevance of both firm and industry characteristics critically depends on whether FDI is horizontal or verticalmultinational enterprises, firm heterogeneity, industry characteristics, sector-specific FDI, vertical and horizontal FDI
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