Exports and technology in manufacturing industry

Hulst, Noé van; Mulder, R.; Soete, Luc

doi:10.1007/bf02707985

Cited by 34 publications

(18 citation statements)

References 19 publications

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“…Low absolute levels of vertical IIT are related to high protection levels, as found for Australia by Siriwardana (1990). But some interventions seem to be positively related to vertical IIT: diffusion oriented technology policies seem to boost trade in quality differentiated products, as studied in Van Hulst, Mulder and Soete (1991).…”

Section: Some Empirical Evidencementioning

confidence: 86%

Oligopoly and Quality Leapfrogging

Herguera

Lutz

1998

World Economy

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Section: Some Empirical Evidencementioning

confidence: 86%

Oligopoly and Quality Leapfrogging

Herguera

Lutz

1998

World Economy

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“…Many of the applied studies in this area use R&D or patent statistics to detect the impact of technological competition on trade performance (Fagerberg, 1988;van-Hulst et al, 1991;Amable and Verspagen, 1995 and others). There is also a growing literature on international spillover e ects of R&D activity (see for example, Wol and Nadiri, 1993;Coe and Helpman, 1995).…”

Section: I N T E R N a T I O N A L C O M Pe T I T I V E N E S S mentioning

confidence: 98%

Technological competition and trade performance

Landesmann¹,

Pfaffermayr²

1997

Applied Economics

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This paper estimates a demand system for OECD exports differentiated by country of origin for two ISIC industries (non-electrical machinery, electrical machinery) and for total manufacturing exports. It develops a generalized form of the AIDS demand system in which research and development (R&D) effort enters in a number of ways to affect a particular supplier's competitiveness: R&D activity relative to competitors affects, on the one hand, relative cost competitiveness and, on the other hand, the producer's position in the quality spectrum of products offered on international markets. One of the interesting insights gained from the study is that 'effectiveness' of R&D effort can differ much across different economies. It is conjectured that a country's position in an international catching-up process may be partly responsible for such differences as well as labour market dynamics which link increased labour costs to cost- and quality-improvements.

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“…In order to provide a specific fingerprinting for the degree of specialization of each geographical unit we extend to scientific production [47] the concept of Revealed Comparative Advantage (RCA, [61]). RCA has a long history in the economic literature where it has been used to study the level of specialization of nations and regions in terms of industrial production, technological production, and trade exports (see for example [62][63][64][65][66][67][68][69][70][71][72][73][74][75]). The RCA [61] is defined as:…”

Section: Fingerprinting Scientific Expertisementioning

confidence: 99%

Mapping the physics research space: a machine learning approach

et al. 2019

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Scientific discoveries do not occur in vacuum but rather by connecting existing pieces of knowledge in new and creative ways. Mapping the relation and structure of scientific knowledge is therefore central to our understanding of the dynamics of scientific production. Here we introduce a new approach to generate scientific knowledge maps based on a machine learning approach that, starting from the observed publication patterns of authors, generates an N-dimensional space where it is possible to measure the similarity or distance between different research topics and knowledge domains. We provide an implementation of the proposed approach that considers the American Physical Society publications database and generates a map of the research space in Physics that characterizes the relation among research topics over time. We use this map to measure two indicators, the research capacity fingerprint and the knowledge density, to profile the research activity in physical sciences of more than 400 urban areas across the world. We show that these indicators can be used to analyze and predict the evolution over time of the research capacity and specialization of specific geographical areas. Furthermore we provide an extensive analysis of the relation between socio-economic development indicators and the ability to produce new knowledge for 67 countries, as measured by our approach, highlighting some key correlates of scientific production capacity. The proposed approach is scalable to very large datasets and can be extended to study other disciplines and research areas without having to rely on ad-hoc science classification schemes.

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Exports and technology in manufacturing industry

Cited by 34 publications

References 19 publications

Oligopoly and Quality Leapfrogging

Oligopoly and Quality Leapfrogging

Technological competition and trade performance

Mapping the physics research space: a machine learning approach

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