Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387369417> ?p ?o ?g. }
- W4387369417 endingPage "101664" @default.
- W4387369417 startingPage "101664" @default.
- W4387369417 abstract "In recent years, the impact of international trade on firm innovation has received increasing attention. Some scholars argue that knowledge spillovers from trade are beneficial to innovation, while others argue that the intense competition from trade leads to a reduction in innovative activity, based on the Schumpeterian effect. To address this issue, we creatively construct a dataset of Chinese listed firms from 2000 to 2014 and conduct empirical tests using propensity score matching to investigate the impact of firms' intermediate goods import behavior on innovation performance at the micro level. We construct models of firms' decisions under closed market conditions and of the impact of intermediate goods imports on firms' innovation activities under open market conditions. Our study shows that firms that import intermediate goods are more innovative, and we validate the robustness of this result. We further discuss the potential mechanisms of how exposure to international markets affects innovation, and we find that firms' import behavior affects innovation through scale effect, technology effect, and profit effect. In short, importing intermediate goods enhances firm-level innovation in developing countries. Our study provides significant evidence on the impact of imports on firm-level innovation performance, and our findings provide a rationale for promoting the co-development of trade and firm innovation. This paper also has important policy implications that governments should continue to reduce trade barriers, promote trade openness, and enhance technology transfer and cooperation in order to reap more innovation benefits from trade." @default.
- W4387369417 created "2023-10-06" @default.
- W4387369417 creator A5024125769 @default.
- W4387369417 creator A5038851564 @default.
- W4387369417 creator A5052057753 @default.
- W4387369417 date "2023-10-01" @default.
- W4387369417 modified "2023-10-16" @default.
- W4387369417 title "Trade with innovation benefits: A re-appraisal using micro data from China" @default.
- W4387369417 cites W1529840954 @default.
- W4387369417 cites W1592860285 @default.
- W4387369417 cites W1879687480 @default.
- W4387369417 cites W1971357128 @default.
- W4387369417 cites W1990320303 @default.
- W4387369417 cites W2009976150 @default.
- W4387369417 cites W2014423355 @default.
- W4387369417 cites W2022278020 @default.
- W4387369417 cites W2029713471 @default.
- W4387369417 cites W2032076993 @default.
- W4387369417 cites W2038805087 @default.
- W4387369417 cites W2043833064 @default.
- W4387369417 cites W2066735350 @default.
- W4387369417 cites W2099252767 @default.
- W4387369417 cites W2111465968 @default.
- W4387369417 cites W2119237697 @default.
- W4387369417 cites W2119412023 @default.
- W4387369417 cites W2124933622 @default.
- W4387369417 cites W2133833730 @default.
- W4387369417 cites W2146344723 @default.
- W4387369417 cites W2147576431 @default.
- W4387369417 cites W2150291618 @default.
- W4387369417 cites W2172996358 @default.
- W4387369417 cites W2323328897 @default.
- W4387369417 cites W2527940664 @default.
- W4387369417 cites W2560244442 @default.
- W4387369417 cites W2594328268 @default.
- W4387369417 cites W2807729729 @default.
- W4387369417 cites W2900879865 @default.
- W4387369417 cites W2902001052 @default.
- W4387369417 cites W2922821439 @default.
- W4387369417 cites W2954921260 @default.
- W4387369417 cites W2968627588 @default.
- W4387369417 cites W2981177524 @default.
- W4387369417 cites W2990418270 @default.
- W4387369417 cites W3027416161 @default.
- W4387369417 cites W3044644366 @default.
- W4387369417 cites W3045222753 @default.
- W4387369417 cites W3047082672 @default.
- W4387369417 cites W3118433097 @default.
- W4387369417 cites W3121403162 @default.
- W4387369417 cites W3121487266 @default.
- W4387369417 cites W3121855595 @default.
- W4387369417 cites W3121861737 @default.
- W4387369417 cites W3122105656 @default.
- W4387369417 cites W3122247001 @default.
- W4387369417 cites W3122968539 @default.
- W4387369417 cites W3123379813 @default.
- W4387369417 cites W3123575923 @default.
- W4387369417 cites W3124175120 @default.
- W4387369417 cites W3124220939 @default.
- W4387369417 cites W3125075876 @default.
- W4387369417 cites W3125256921 @default.
- W4387369417 cites W3125387544 @default.
- W4387369417 cites W3125482261 @default.
- W4387369417 cites W3125951537 @default.
- W4387369417 cites W3128050127 @default.
- W4387369417 cites W3204171683 @default.
- W4387369417 cites W3214014966 @default.
- W4387369417 cites W4212808681 @default.
- W4387369417 cites W4220680903 @default.
- W4387369417 cites W4221041258 @default.
- W4387369417 cites W4224249665 @default.
- W4387369417 cites W4240821668 @default.
- W4387369417 cites W4281958961 @default.
- W4387369417 cites W4285988222 @default.
- W4387369417 cites W4287377981 @default.
- W4387369417 cites W4287877604 @default.
- W4387369417 cites W4295850128 @default.
- W4387369417 cites W4309703192 @default.
- W4387369417 cites W4315652759 @default.
- W4387369417 cites W4320497911 @default.
- W4387369417 cites W4320856060 @default.
- W4387369417 cites W4327921289 @default.
- W4387369417 doi "https://doi.org/10.1016/j.asieco.2023.101664" @default.
- W4387369417 hasPublicationYear "2023" @default.
- W4387369417 type Work @default.
- W4387369417 citedByCount "0" @default.
- W4387369417 crossrefType "journal-article" @default.
- W4387369417 hasAuthorship W4387369417A5024125769 @default.
- W4387369417 hasAuthorship W4387369417A5038851564 @default.
- W4387369417 hasAuthorship W4387369417A5052057753 @default.
- W4387369417 hasConcept C10138342 @default.
- W4387369417 hasConcept C144133560 @default.
- W4387369417 hasConcept C155202549 @default.
- W4387369417 hasConcept C15744967 @default.
- W4387369417 hasConcept C162324750 @default.
- W4387369417 hasConcept C175444787 @default.
- W4387369417 hasConcept C17744445 @default.
- W4387369417 hasConcept C181622380 @default.