83 research outputs found

    Local innovation and global value chains in developing countries

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    The GVC approach has stressed that inter-firm linkages within GVCs can play a crucial role in transferring technological knowledge and promoting innovation. However, the exact nature of these GVC inter-firms relationships, and their impact on the learning and innovative processes of firms involved in such GVCs in developing countries is still controversial and rather understudied. In this paper we argue that to investigate whether and how firms involved in GVCs (as well as industrial clusters, regions and countries) innovate, scholars should not focus entirely on GVC characteristics and the role of lead firms, but they also should take into account domestic technological capabilities at the firm, industrial cluster/regional and local innovation system-levels. In this study we undertake a systematic review of the literature on GVCs in developing countries to investigate if and how innovation has been undertaken at the local level. With cluster analysis, we have identified three types of GVCs, defined as (a) GVC-led Innovators, consisting of innovative local firms, which intensively use knowledge sources from within the GVC; (b) Independent Innovators also consisting of innovative firms, but whose learning sources mainly come from outside the GVC; c) Weak Innovators, including a large group of scarcely innovative firms, drawing selectively on some of the knowledge sources available within the GVC but poorly using other forms of learning

    Multifactorial analysis of the stochastic epigenetic variability in cord blood confirmed an impact of common behavioral and environmental factors but not of in vitro conception.

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    Background: An increased incidence of imprint-associated disorders has been reported in babies born from assisted reproductive technology (ART). However, previous studies supporting an association between ART and an altered DNA methylation status of the conceived babies have been often conducted on a limited number of methylation sites and without correction for critical potential confounders. Moreover, all the previous studies focused on the identification of methylation changes shared among subjects while an evaluation of stochastic differences has never been conducted. This study aims to evaluate the effect of ART and other common behavioral or environmental factors associated with pregnancy on stochastic epigenetic variability using a multivariate approach. Results: DNA methylation levels of cord blood from 23 in vitro and 41 naturally conceived children were analyzed using the Infinium HumanMethylation450 BeadChips. After multiple testing correction, no statistically significant difference emerged in the number of cord blood stochastic epigenetic variations or in the methylation levels between in vitro- and in vivo-conceived babies. Conversely, four multiple factor analysis dimensions summarizing common phenotypic, behavioral, or environmental factors (cord blood cell composition, pre or post conception supplementation of folates, birth percentiles, gestational age, cesarean section, pre-gestational mother's weight, parents' BMI and obesity status, presence of adverse pregnancy outcomes, mother's smoking status, and season of birth) were significantly associated with stochastic epigenetic variability. The stochastic epigenetic variation analysis allowed the identification of a rare imprinting defect in the locus GNAS in one of the babies belonging to the control population, which would not have emerged using a classical case-control association analysis. Conclusions: We confirmed the effect of several common behavioral or environmental factors on the epigenome of newborns and described for the first time an epigenetic effect related to season of birth. Children born after ART did not appear to have an increased risk of genome-wide changes in DNA methylation either at specific loci or randomly scattered throughout the genome. The inability to identify differences between cases and controls suggests that the number of stochastic epigenetic variations potentially induced by ART was not greater than that naturally produced in response to maternal behavior or other common environmental factors

    Business constraints and growth potential of micro and small manufacturing enterprises in Uganda

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    Ugandan micro and small enterprises (MSEs) still perform poorly. Studies associating poor performance of manufacturers with lack of finance and low investment ignore micro enterprises. Those focusing on MSEs are either exploratory in nature or employ a descriptive analysis, which cannot show the extent to which business constraints explain the performance of MSEs. Thus, this paper tries to examine the extent to which the growth of MSEs is associated with business constraints while controlling for owners’ attributes and firms’ characteristics. The results reveal that MSEs’ growth potential is negatively associated with limited access to productive resources (finance and business development services), high taxes and lack of market access

    Institutions for Effective Business-Government Collaboration: Micro Mechanisms and Macro Politics in Latin America

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