Purpose:Measuring the exact technology complementarity between different institutions is necessary to obtain complementary technology resources for R&D cooperation.Design/methodology/approach:This study constructs...Purpose:Measuring the exact technology complementarity between different institutions is necessary to obtain complementary technology resources for R&D cooperation.Design/methodology/approach:This study constructs a morphology-driven method for measuring technology complementarity,taking medical field as an example.First,we calculate semantic similarities between subjects(S and S)and action-objects(AO and AO)based on the Metathesaurus,forming clusters of S and AO based on a semantic similarity matrix.Second,we identify key technology issues and methods based on clusters of S and AO.Third,a technology morphology matrix of several dimensions is constructed using morphology analysis,and the matrix is filled with subjects-action-objects(SAO)structures according to corresponding key technology issues and methods for different institutions.Finally,the technology morphology matrix is used to measure the technology complementarity between different institutions based on SAO.Findings:The improved technology complementarity method based on SAO is more of a supplementary and refined framework for the traditional IPC method.Research limitations:In future studies we will reprocess and identify the SAO structures which were not in the technology morphology matrix,and find other methods to characterize key technical issues and methods.Furthermore,we will add the comparison between proposed method and traditional and mostly used complementarity measurement method based on industry chain and industry code.Practical implications:This study takes medical field as an example.The morphology-driven method for measuring technology complementarity can be migrated and applied for any given field.Originality/value:From the perspective of complementary technology resources,this study develops and tests a more accurate morphology-driven method for technology complementarity measurement.展开更多
In the complex architecture of global value-chain(GVC)trade,firms’technological content increasingly reflects external knowledge flows.This study examines how inter-regional technological complementarity shapes firms...In the complex architecture of global value-chain(GVC)trade,firms’technological content increasingly reflects external knowledge flows.This study examines how inter-regional technological complementarity shapes firms’GVC advancement,measured by the domestic value-added rate(DVAR)in exports.Using integrated Chinese microdata(2000-2014),we find this complementarity significantly boosts export DVAR,explaining about one-quarter of its observed growth.Two mechanisms drive this effect:increased use of domestic intermediates and gains in firm productivity.The benefits are especially large for firms with lower human capital and for those in accessible,innovation-peripheral regions,helping narrow productivity gaps across firms and space.Affected firms also exhibit broader export scopes,higher product quality,more diversified destinations,and greater markups-firm-level evidence of GVC upgrading.These findings highlight how external technological linkages drive upgrading and underscore the importance of fostering inter-regional synergies for balanced development.展开更多
基金This work was supported by the General Program of National Natural Science Foundation of China under(Grant Nos.71774012,72104246,71673024)the Fundamental Research Funds for the Central Universities(22CX04010B)the strategic research project of the Development Planning Bureau of the Chinese Academy of Sciences(Grant No.GHJ-ZLZX-2019-42).The findings and observations in this paper are those of the authors and do not necessarily reflect the views of the supporters.
文摘Purpose:Measuring the exact technology complementarity between different institutions is necessary to obtain complementary technology resources for R&D cooperation.Design/methodology/approach:This study constructs a morphology-driven method for measuring technology complementarity,taking medical field as an example.First,we calculate semantic similarities between subjects(S and S)and action-objects(AO and AO)based on the Metathesaurus,forming clusters of S and AO based on a semantic similarity matrix.Second,we identify key technology issues and methods based on clusters of S and AO.Third,a technology morphology matrix of several dimensions is constructed using morphology analysis,and the matrix is filled with subjects-action-objects(SAO)structures according to corresponding key technology issues and methods for different institutions.Finally,the technology morphology matrix is used to measure the technology complementarity between different institutions based on SAO.Findings:The improved technology complementarity method based on SAO is more of a supplementary and refined framework for the traditional IPC method.Research limitations:In future studies we will reprocess and identify the SAO structures which were not in the technology morphology matrix,and find other methods to characterize key technical issues and methods.Furthermore,we will add the comparison between proposed method and traditional and mostly used complementarity measurement method based on industry chain and industry code.Practical implications:This study takes medical field as an example.The morphology-driven method for measuring technology complementarity can be migrated and applied for any given field.Originality/value:From the perspective of complementary technology resources,this study develops and tests a more accurate morphology-driven method for technology complementarity measurement.
基金supported by the following grants:National Social Science Fund of China(NSSFC)(Major Project)“Research on the Mechanism and Breakthrough Path for Achieving Key Core Technologies through the Coupling of Innovation Chains and Industrial Chains”(Grant No.22&ZD093)Key Research Institute of Humanities and Social Sciences,Ministry of Education“Research on Innovation Development Theory Based on Chinese Practice”(Grant No.23CEDRZ03).
文摘In the complex architecture of global value-chain(GVC)trade,firms’technological content increasingly reflects external knowledge flows.This study examines how inter-regional technological complementarity shapes firms’GVC advancement,measured by the domestic value-added rate(DVAR)in exports.Using integrated Chinese microdata(2000-2014),we find this complementarity significantly boosts export DVAR,explaining about one-quarter of its observed growth.Two mechanisms drive this effect:increased use of domestic intermediates and gains in firm productivity.The benefits are especially large for firms with lower human capital and for those in accessible,innovation-peripheral regions,helping narrow productivity gaps across firms and space.Affected firms also exhibit broader export scopes,higher product quality,more diversified destinations,and greater markups-firm-level evidence of GVC upgrading.These findings highlight how external technological linkages drive upgrading and underscore the importance of fostering inter-regional synergies for balanced development.
