On international spillovers

Bianco, Dominique; Niang, Abdou-Aziz

doi:10.1016/j.econlet.2012.05.026

Cited by 3 publications

(4 citation statements)

References 24 publications

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“…Large trade relationships are certainly important for international knowledge transmission, but knowledge 1 Several scholars have refined Coe and Helpman's (1995) seminal analysis along several directions, ranging from the econometric technique and the data to the level of disaggregation and the composition of the trade flows, while preserving their approach (e.g. Engelbrecht, 1997;Lichtenberg and van Pottelsberghe de la Potterie, 1998;Xu and Wang, 1999;Lumenga-Neso et al, 2005;Madsen, 2007;Coe et al, 2009;Bianco and Niang, 2012;Fracasso and Vittucci Marzetti, 2013). We refer to Keller (2004) for a review of the literature.…”

Section: Introductionmentioning

confidence: 99%

International trade and R&D spillovers

Fracasso

Marzetti

2015

Journal of International Economics

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Departing from the usual tenets of proportionality between cross-border trade flows and knowledge spillovers, we investigate whether relatively intense trade relationships are associated with particularly large international R&D spillovers. A nonlinear specification nesting the hypothesis of global and trade-unrelated R&D spillovers is estimated on a sample of 24 advanced countries over 1971-2004. We find evidence that trade patterns positively affect the international transmission of knowledge, in particular when we consider bilateral trade flows that, thanks to the estimation of an auxiliary gravity model, are normalized for the size and the distance of the trading partners. Finally, we discuss the patterns of the bilateral relationships characterized by both relatively intense trade and large R&D spillovers.

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Section: Introductionmentioning

confidence: 99%

International trade and R&D spillovers

Fracasso

Marzetti

2015

Journal of International Economics

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“…Similarly, Bianco and Niang (2012) attempt to extend the analysis of Coe et al . (2009) by using the panel data of 24 OECD countries over the period 1971–2004.…”

Section: Drivers Of Mfp: a Thematic Review Of Literaturementioning

confidence: 99%

“…Similarly, Bianco and Niang (2012) attempt to extend the analysis of Coe et al (2009) by using the panel data of 24 OECD countries over the period 1971-2004. TFP is used as a dependent variable, whereas R&D capital stock 16 and human capital are used as principal exogenous variables.…”

Section: Domestic and Foreign Randd Spilloversmentioning

confidence: 99%

Measurement and Determinants of Multi‐factor Productivity: A Survey of Literature

Ahmed

Bhatti

2020

Journal of Economic Surveys

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This paper surveys and synthesizes fast‐growing literature on the measurement and determinants of multi‐factor productivity (MFP). We identify three strands of the literature to measure MFP: the first is growth accounting, which decomposes observed economic growth into the contribution of factor inputs and technological change, called the Solow Residual; the second is index number methods, accompanied by frontier techniques; the third is growth regressions and econometric methods used to estimate productivity across countries and regions. We keep our focus on assessing the major strengths and weaknesses of commonly used methods for MFP measurement and categorize existing literature on the determinants of MFP growth into macroeconomic and institutional factors. We attempt to provide a reassessment and thematic survey of literature on the drivers of aggregate productivity, enabling policymakers to formulate effective economic policy.

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“…Bianco and Niang (2012) analysed the role of international spillovers in generating gains for a panel of 24 OECD countries. They found that substantial cross-country spillovers occur, mainly relating to R&D and human capital variables, which contribute significantly to productivity.…”

Section: Theoretical Framework: Ertur and Koch's Multi-country Schumpmentioning

confidence: 99%

Technological interdependence between South American countries: a spatial panel data growth model

Guevara¹,

Autant‐Bernard²

2015

Revue D’Économie Régionale &Amp; Urbaine

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Abstract:This study examines how the dissemination of research and development (R&D) and technology affected economic performance in different South American countries from 1990 to 2010. The objective is to understand the relationship between countries in the process of international technology diffusion, i.e. measuring externalities and identifying the mechanisms through which technology is transferred.To answer these questions, we consider the Schumpeterian growth model proposed by Ertur and Koch (2011). This framework accounts for the interdependences between countries (resulting from R&D externalities) from both a theoretical and an empirical point of view. With this spatial panel model, we assess the extent to which one country's productivity affects the productivity of other countries in the region and test the effectiveness of R&D in terms of direct and indirect impact on the economy. Different specifications of the spatial weight matrix are considered in order to investigate the different mechanisms of technological diffusion.The originality of this study lies firstly through the use of R&D measures that allow different sources of funding to be distinguished. In particular, we can thus assess the role of R&D expenditure from national sources in comparison with R&D expenditure from foreign sources which, in the context of developing countries, is a key issue. In addition, we provide an assessment of the role of absorptive capacity in terms of research expenditure or investment in human capital on the productivity levels of countries in the region.The results suggest that of the various factors determining South America's economic performance, public sector funded R&D investments and, to a lesser extent, private sector funded R&D, have a positive impact on these countries' productivity. In contrast, however, foreign investment in research does not produce the expected benefits. We also observe that there are significant international spillovers from R&D activities. The ability to disseminate technologies and to take advantage of these international spillovers, however, differs from one country to another. Our estimates indicate that Brazil has positioned itself as the main actor in the region in terms of technological diffusion, while Bolivia is the country most likely to benefit from these spillover effects. Résumé:Cette étude examine comment la diffusion de la recherche et développement (R&D) et de la technologie affecte la performance économique dans les différents pays d'Amérique du Sud au cours de la période 1990-2010. L'objectif est de comprendre les relations entre pays dans le processus de diffusion technologique internationale, c'est-à-dire mesurer les externalités et d'identifier les mécanismes par lesquels la technologie est transférée.Pour répondre à ces questions, nous considérons le modèle de croissance schumpétérien proposé par Ertur et Koch (2011). Ce dernier rend compte, d'un point de vue théorique comme d'un point de vue empirique, de l'interdépendance entre pays résultant des retombées d...

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On international spillovers

Cited by 3 publications

References 24 publications

International trade and R&D spillovers

International trade and R&D spillovers

Measurement and Determinants of Multi‐factor Productivity: A Survey of Literature

Technological interdependence between South American countries: a spatial panel data growth model

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