Multinational enterprises international trade, and productivity growth: Firm-level evidence from the United States

We estimate international technology spillovers to U.S. manufacturing firms via imports and foreign direct investment (FDI) between the years of 1987 and 1996. In contrast to earlier work, our results suggest that FDI leads to substantial productivity gains for domestic firms. The size of FDI spillovers is economically important, accounting for about 11% of productivity growth in U.S. firms between 1987 and 1996. In addition, there is some evidence for imports-related spillovers, but it is weaker than for FDI. The paper also gives a detailed account of why our study leads to results different from those found in previous work. This analysis indicates that our results are likely to generalize to other countries and periods. --

Global Production and Trade in the Knowledge Economy

This paper presents and tests a new model of multinational firms to explain a rich array of multinational behaviour. In contrast to most approaches, here the multinational faces costs to transferring its know-how that are increasing in technological complexity. Costly technology transfer gives rise to increasing marginal costs of serving foreign markets, which explains why multinational firms are often much more successful in their home market compared to foreign markets. The model has four key predictions. First, as transport costs between multinational parent and affiliate increase, firms with complex production technologies find it relatively difficult to substitute local production for imports from the parent, because complex technologies are relatively costly to transfer. Second, the activity of affiliates with complex technologies declines relatively strongly as transport costs from the home market increase, both at the intensive and the extensive margin. We also show that as transport costs from the home market increase, affiliates concentrate their imports from the parent on intermediates that are technologically more complex. We test these hypotheses by employing information on the activities of individual multinational firms, on the nature of intra-firm trade at the product level, and on the skills required for occupations with different complexity. The empirical analysis finds strong evidence in support of the model by confirming all four hypotheses. The analysis shows that accounting for costly technology transfer within multinational firms is important for explaining the structure of trade and multinational production.

The Gravity of Knowledge

How large are spatial barriers to transferring knowledge? We analyze the international operations of multinational firms to answer this fundamental question. In our model firms can transfer bits of knowledge to their foreign affiliates in either embodied (traded intermediates) or disembodied form (direct communication). Knowledge transfer costs interact with the knowledge intensity of production to determine the geographic structure of multinationals' input sourcing as well as its competitiveness in foreign markets. The model shows how data on observable trade costs and features of multinationals' global operations reveal the size and nature of knowledge transfer costs. Our empirical analysis confirms the model's predictions using firm-level data, quantifies the aggregate implications of the model for the structure of multinationals' operations, and demonstrates that transfer costs shape the knowledge content of intra-firm trade flows.

Multinational Enterprises, International Trade, and Productivity Growth: Firm-Level Evidence from the United States

We estimate international technology spillovers to U.S. manufacturing firms via imports and foreign direct investment (FDI) between the years of 1987 and 1996. In contrast to earlier work, our results suggest that FDI leads to significant productivity gains for domestic firms. The size of FDI spillovers is economically important, accounting for about 14% of productivity growth in U.S. firms between 1987 and 1996. In addition, there is some evidence for imports-related spillovers, but it is weaker than for FDI. The paper also gives a detailed account of why our study leads to results different from those found in previous work. This analysis indicates that our results are likely to generalize to other countries and periods.

Global Production and Trade in the Knowledge Economy

This paper presents and tests a new model of multinational firms to explain a rich array of multinational behavior. In contrast to most approaches, here the multinational faces costs to transferring its know-how that are increasing in technological complexity. Costly technology transfer gives rise to increasing marginal costs of serving foreign markets, which explains why multinational firms are often much more successful in their home market compared to foreign markets. The model has several key predictions. First, as transport costs between multinational parent and affiliate increase, firms with complex production technologies find it relatively difficult to substitute local production for imports from the parent, because complex technologies are relatively costly to transfer. Second, the activity of affiliates with complex technologies declines relatively strongly as transport costs from the home market increase, both at the intensive and the extensive margin. We also show that as transport costs from the home market increase, affiliates concentrate their imports from the parent on intermediates that are technologically more complex. We test these hypotheses by employing information on the activities of individual multinational firms, on the nature of intra-firm trade at the product level, and on the skills required for occupations with different complexity. The empirical analysis finds strong evidence in support of the model by confirming all four hypotheses. The analysis shows that accounting for costly technology transfer within multinational firms is important for explaining the structure of trade and multinational production.

A mouse tissue atlas of small noncoding RNA

Small noncoding RNAs (ncRNAs) play a vital role in a broad range of biological processes both in health and disease. A comprehensive quantitative reference of small ncRNA expression would significantly advance our understanding of ncRNA roles in shaping tissue functions. Here, we systematically profiled the levels of five ncRNA classes (microRNA [miRNA], small nucleolar RNA [snoRNA], small nuclear RNA [snRNA], small Cajal body-specific RNA [scaRNA], and transfer RNA [tRNA] fragments) across 11 mouse tissues by deep sequencing. Using 14 biological replicates spanning both sexes, we identified that ∼30% of small ncRNAs are distributed across the body in a tissue-specific manner with some also being sexually dimorphic. We found that some miRNAs are subject to “arm switching” between healthy tissues and that tRNA fragments are retained within tissues in both a gene- and a tissue-specific manner. Out of 11 profiled tissues, we confirmed that brain contains the largest number of unique small ncRNA transcripts, some of which were previously annotated while others are identified in this study. Furthermore, by combining these findings with single-cell chromatin accessibility (scATAC-seq) data, we were able to connect identified brain-specific ncRNAs with their cell types of origin. These results yield the most comprehensive characterization of specific and ubiquitous small RNAs in individual murine tissues to date, and we expect that these data will be a resource for the further identification of ncRNAs involved in tissue function in health and dysfunction in disease

Long-term monitoring reveals forest tree community change driven by atmospheric sulphate pollution and contemporary climate change

Diversity and Distributions published by John Wiley & Sons Ltd Aim: Montane environments are sentinels of global change, providing unique opportunities to assess impacts on species diversity. Multiple anthropogenic stressors such as climate change and atmospheric pollution may act concurrently or synergistically in restructuring communities. Thus, a major challenge for conservation is untangling the relative importance of different stressors. Here, we combine long-term monitoring with multivariate community modelling to estimate the anthropogenic drivers shaping forest tree diversity along an elevational gradient. Location: Camels Hump Mountain, Vermont, USA. Methods: We used Generalized Dissimilarity Modelling (GDM) to model spatial and temporal turnover in beta diversity along an elevational gradient over a 50-year period and tested for spatiotemporal shifts in density and elevational distribution of individual species. GDMs were used to predict community turnover as nonlinear functions of changes in elevation, climate and atmospheric pollution. Results: We observed significant shifts in elevational range and density of individual species, which contributed to an overall reduction in the elevational gradient in beta diversity through time. GDMs showed the combined effects of sulphate deposition and temperature as drivers of this temporal reduction in beta diversity. Spatiotemporal changes differed among species, with shifts observed both up- and downslope. For example, in a reversal of a previous upslope range contraction, red spruce (Picea rubens Sarg.) increased in density and shifted downslope since the 1990s, occupying warmer, drier climates. Main conclusion: Our results demonstrate that global change is impacting the stratification of forest tree diversity along elevational gradients, but the responses of individual species are complex and variable in direction. We suggest abiotic drivers may directly impact individual species while also indirectly altering species interactions along elevational gradients. Our approach modelling the drivers of compositional turnover quantifies the rate and amount of change in beta diversity along environmental gradients and serves as a powerful complement to studying species-specific responses

Release from natural enemies mitigates inbreeding depression in native and invasive Silene latifolia populations

Schrieber K, Wolf S, Wypior C, et al. Release from natural enemies mitigates inbreeding depression in native and invasive Silene latifolia populations. Ecology and Evolution. 2019;9(6):3564-3576.Inbreeding and enemy infestation are common in plants and can synergistically reduce their performance. This inbreeding xenvironment (I x E) interaction may be of particular importance for the success of plant invasions if introduced populations experience a release from attack by natural enemies relative to their native conspecifics. Here, we investigate whether inbreeding affects plant infestation damage, whether inbreeding depression in growth and reproduction is mitigated by enemy release, and whether this effect is more pronounced in invasive than native plant populations. We used the invader Silene latifolia and its natural enemies as a study system. We performed two generations of experimental out- and inbreeding within eight native (European) and eight invasive (North American) populations under controlled conditions using field-collected seeds. Subsequently, we exposed the offspring to an enemy exclusion and inclusion treatment in a common garden in the species' native range to assess the interactive effects of population origin (range), breeding treatment, and enemy treatment on infestation damage, growth, and reproduction. Inbreeding increased flower and leaf infestation damage in plants from both ranges, but had opposing effects on fruit damage in native versus invasive plants. Inbreeding significantly reduced plant fitness; whereby, inbreeding depression in fruit number was higher in enemy inclusions than exclusions. This effect was equally pronounced in populations from both distribution ranges. Moreover, the magnitude of inbreeding depression in fruit number was lower in invasive than native populations. These results support that inbreeding has the potential to reduce plant defenses in S. latifolia, which magnifies inbreeding depression in the presence of enemies. However, future studies are necessary to further explore whether enemy release in the invaded habitat has actually decreased inbreeding depression and thus facilitated the persistence of inbred founder populations and invasion success

Polyandry and Polygyny in a Social Rodent: An Integrative Perspective Based on Social Organization, Copulations, and Genetics

Animal mating systems have fascinated biologists for thousands of years. Ways to describe a mating system include determining social organization, observing copulations, or using genetics to assign parentage. Social organization can be difficult to quantify, however, documentation of copulations is often challenging, many copulations do not produce offspring, and genetic variation is sometimes minimal. Here we use data from a 7-year study of wild white-tailed prairie dogs (WTPDs, Cynomys leucurus) living in Colorado USA to estimate the frequencies of polyandry (i.e., copulation with ≥2 males) and polygyny (i.e., copulation with ≥2 females) from three independent approaches: (1) determination of the number of males and females living in the same territory (social organization); (2) observations of copulations; and (3) genetic assignments of paternity from seven polymorphic microsatellites. We predicted that our three approaches would yield similar estimates of polyandry and polygyny. Because a WTPD female's period of sexual receptivity each spring is limited to several hours on a single day, we also predicted that frequencies of polyandry and polygyny would be lower for WTPDs than for animals with longer periods of receptivity. Our results did not support these predictions. For polyandry, observations of copulations and genetics indicated similar overall percentages (27%), but social organization indicated a much lower percentage (3%). For polygyny, observations of copulations indicated the highest overall percentage (84%), then social organization (59%), then genetics (46%). All three approaches showed striking annual variation in the frequencies of WTPD polyandry and polygyny. Long-term studies that integrate behavioral and genetic insights can provide a detailed view of a mating system, but feasibility will depend on ease of capture, visibility of copulations, length of mating season, research objectives, and genetic variation