2016
DOI: 10.1016/j.techfore.2016.05.015
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Institutional support, innovation capabilities and exports: Evidence from the semiconductor industry in Taiwan

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Cited by 56 publications
(44 citation statements)
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“…The fact that in all clusters TFP dictates the evolution of aggregate output gives credit to the Schumpeterian view of business cycles, since clustering of innovations force economic activity to shift from one equilibrium point to another, a finding consistent with the work of Rasiah et al (2016) and Noori et al (2016) who also validated this Schumpeterian view using data on the Taiwanese semiconductor industry and Iranian firms, respectively.…”
Section: Results Analysissupporting
confidence: 53%
“…The fact that in all clusters TFP dictates the evolution of aggregate output gives credit to the Schumpeterian view of business cycles, since clustering of innovations force economic activity to shift from one equilibrium point to another, a finding consistent with the work of Rasiah et al (2016) and Noori et al (2016) who also validated this Schumpeterian view using data on the Taiwanese semiconductor industry and Iranian firms, respectively.…”
Section: Results Analysissupporting
confidence: 53%
“…Traditionally, innovation studies at the firm level follow two perspectives: innovation as the result of R&D investments and as the consequence of different innovation capabilities. However, although there is important research in each of these perspectives, studies that explicitly link them are scarce (see for example, Reichert et al, 2016;Rasiah et al, 2016;Chamsuk et al, 2017). The present paper goes exactly in the direction of better understanding the relation between R&D investment and innovation capabilities.…”
Section: Introductionmentioning
confidence: 93%
“…First of all, older firms are more likely to survive in the international market as well as enlarge their export scale (Agnihotri et al [43]); second, the number of employees, used to indicate a firm's size, has a significant and positive effect on export growth (Serrasqueiro et al [44]); third, the significantly negative estimates of the tax and receivable accounts ratio indicate that the higher taxes and insufficient financial support are likely to restrict the export growth (Rasiah [45], Riding et al [46]); fourth, the industrial agglomeration, as measured by the geographic agglomeration index, has a significantly positive effect on extensive margin, but a negative effect on intensive margin, indicating that industrial agglomeration could facilitate a firm's export propensity (Long et al [48]), while the industrial competition among exporters restricts the growth of export scale; fifth, the negative coefficients of distance from the nearest seaport suggest that the geographical location is an important factor in terms of export growth [47]. Finally, the positive and significant estimate on Export it-1 proved the positive effect on contemporaneous exports [49,50].…”
Section: Baseline Regression Results For Innovation and Exportsmentioning
confidence: 99%
“…Z it-1 indicates the other control variables that affect the exporting performance, such as a firm's experience (Agnihotri et al [43]), a firm's size (Serrasqueiro et al [44]), the regional institution factor (Rasiah [45]), financial restrictions (Riding et al [46]), as well as a firm's location (Freeman et al [47]). In this model, the age measures a firm's experience in terms of the number of years since the establishment of the firm.…”
Section: Modelingmentioning
confidence: 99%