The determinants of Italian firms’ technological competencies and capabilities

Zoia, Maria Grazia; Barbieri, Laura; Cortelezzi, Flavia; Marseguerra, Giovanni

doi:10.1007/s40821-018-0103-2

Cited by 16 publications

(9 citation statements)

References 45 publications

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“…The combination of sectoral distribution and size was examined in [120], where analysis at the country level for the selected European Union countries showed that large countries had greater R&D intensity, with this intensity being affected by the industrial structure. Earlier studies were examined in [121], where the author concludes that the sectoral distribution of firm characteristics (e.g., a firm's size) are affected by the technological paradigms of the individual sector. Furthermore, [98] found that the R&D intensity gap between 18 analyzed countries was due to across-sector variation (industrial specialization).…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, [98] found that the R&D intensity gap between 18 analyzed countries was due to across-sector variation (industrial specialization). Firm size was investigated in [121] for Italian firms, where it was found that policymakers need to provide more help for smaller companies to achieve better networking among them, which could compensate for firm size. Some of the shortfalls of this study include the following.…”

Section: Discussionmentioning

confidence: 99%

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R&D in Europe: Sector Decomposition of Sources of (in)Efficiency

Škrinjarić

2020

Sustainability

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Measuring the efficiency of research and development (R&D) expenditure and innovation policy has gained attention in recent years. This research examines the efficiency of 29 selected European countries for the period ranging from 2007 to 2017 in achieving and obtaining R&D goals. The methodology applied is the data envelopment analysis approach with the inclusion of the missing data approach. The contributions of this research include the following: dynamic analysis is conducted to track changes of (in)efficiencies over time; the decomposition of the efficiency is done by separating the main variables of interest into the private, higher education, and government sectors; and the robustness of the results is evaluated, which is often ignored in the literature. The results of the analysis are discussed with possible directions for inefficient countries. The rankings provided in the empirical part of the study confirm previous findings on disparities between the European countries with respect to innovation and the R&D sector.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

R&D in Europe: Sector Decomposition of Sources of (in)Efficiency

Škrinjarić

2020

Sustainability

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“…Shen [22] found that the impact of environmental regulation intensity on technological innovation is non-linear and the relationship between them is in line with the “U” type. This indicates that the impact of the enhancement of environmental regulation intensity on technological innovation first decreases and then increases, and it can be explained from the perspective of path dependence of technological progress [23], and it’s closely related to regional or corporate endowments and geographical location [24]. Qi and Tao [25] used the GWR model to explore the impact of factor agglomeration on regional innovation capability under environmental constraints.…”

Section: Literature Reviewmentioning

confidence: 99%

Local Government Competition, Environmental Regulation Intensity and Regional Innovation Performance: An Empirical Investigation of Chinese Provinces

Deng

Zhang

Ahmad

et al. 2019

IJERPH

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：The aim of this paper is to examine the impact of local government competition and environmental regulation intensity on regional innovation performance and its regional heterogeneity. Based on the theoretical mechanism of the aforementioned variables, this study uses the Chinese provincial panel data from 2001 to 2016. We use the super-efficiency data envelopment analysis (SE-DEA) to evaluate regional innovation performance. To systematically examine the impact of local government competition and environmental regulation intensity on regional innovation performance, we build a panel date model using the feasible generalized least squares (FGLS) method. The results indicate that: the regional innovation performance can be significantly improved through technological spillover; local governments compete for foreign direct investment (FDI) to participate in regional innovative production. Moreover, improvements in environmental regulation intensity enhance regional innovation performance through the innovation compensation effect. Our results show that the local governments tend to choose lower environmental regulation intensity to compete for more FDI, which has an inhibitory effect on regional innovation performance. Furthermore, due to regional differences in factor endowments, economic reforms and economic development levels in Chinese provinces, there exists a significant regional consistency in the impact of local government competition and environmental regulation intensity on regional innovation performance. Therefore, institutional arrangements and incentive constraints must be adopted to enhance regional innovation performance as well as to guide and foster the mechanism of green innovation competition among local governments. At the same time, considering the regional heterogeneity of local government competition and environmental regulation intensity affecting regional innovation performance, policy makers should avoid the “one-size-fits-all” strategy of institutional arrangements.

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“…He believes that technological exploration mainly comes from the university's technological research and market customers' needs. Maria [38] and Fang [39] respectively analyzed the Italian and Chinese samples and reached a highly consistent conclusion that research departments such as universities, geographical location, and firm size are the determinants of Italian firm' technological innovation, while the degree of industrial technology and economic development is highly consistent in space. The innovation level and innovation level of central cities are also significantly higher than those of small and medium-sized cities and the industrial technology level of basic education, economic development and scientific research investment in developed areas has increased significantly.…”

Section: Analysis Of Ltimentioning

confidence: 89%

Communication Barrier, Spillover Effect and Industrial-Technological Innovation

Jin

Sun

et al. 2019

Sustainability

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Industrial-technological innovation (ITI) has far-reaching significance for China’s sustainable development. In this study, we construct an ITI model to analyze the impact of communication barrier and spillover effects in ITI system from the perspective of system by means of system dynamics. Statistical data of smartphone industry were collected to verify the authenticity of the model, which show that the model has higher goodness of fit with the real-world. Simulation experiments were carried out and the results showed that: (1) Spillover effects have obvious effects on ITI in both positive and negative radiation directions, and deeper exchanges and cooperation should be encouraged to carry out among firm. (2) Communication barrier play an important role in regulating ITI. Under the condition of non-barrier and complete-barrier, the completion time of the whole process has increased by 76.5%, it is urgent to reduce communication carrier. The research puts forward suggestions to help improve ITI from institutional, market, and government.

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The determinants of Italian firms’ technological competencies and capabilities

Cited by 16 publications

References 45 publications

R&D in Europe: Sector Decomposition of Sources of (in)Efficiency

R&D in Europe: Sector Decomposition of Sources of (in)Efficiency

Local Government Competition, Environmental Regulation Intensity and Regional Innovation Performance: An Empirical Investigation of Chinese Provinces

Communication Barrier, Spillover Effect and Industrial-Technological Innovation

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