R&amp;D Cooperation and Knowledge Spillover Effects for Sustainable Business Innovation in the Chemical Industry

Hájek, Petr; Stejskal, Jan

doi:10.3390/su10041064

Cited by 62 publications

(36 citation statements)

References 84 publications

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“…At the same time, according not only to Trigueiro et al [64] but also to Horbach [51], who indicates that technology, through R&D activities, triggers eco-innovations, the results obtained here confirm that R&D activities are significant but have a negative influence. Conversely, in the context of internal R&D activities, the previous empirical results obtained in Reference [13], also suggest that the internal acquisition of R&D activities leads to an increased innovation as well as to a sustainable performance.…”

Section: Discussionmentioning

confidence: 89%

“…The results confirmed their positive influence on eco-innovation. Also in relation to R&D activities, namely internal R&D activities, the results presented in Reference [13] confirm that, when companies acquire knowledge from internal sources, this leads to increased innovation and sustainable performance.…”

mentioning

confidence: 75%

“…The variables underlying this non-rejection decision are the following: competitors or other companies in the same sector of activity, Portugal (CO41), and universities or other higher education institutions, Portugal (CO61). According to Hájek et al [13], universities should establish cooperative relationships with companies in compatible research areas, in order to foster the practical application of both knowledge transfer and knowledge acquisition. The same authors argue that cooperating universities contribute to innovation generation.…”

Section: Discussionmentioning

confidence: 99%

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Eco-Innovation Influencers: Unveiling the Role of Lean Management Principles Adoption

2019

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This study analyzes the determinant factors of eco-innovation, considering business units with different levels of technological intensity (high technology versus low technology). It aims, in the first instance, to complement the approach on the determinants of eco-innovation in the existent literature by incorporating the novelty related to the analysis of the effects arising from the adoption of the lean management principles. Specifically, it aims to analyze the effects of the previously referred to determinant factors both on the economic performance and on the innovative performance of Portuguese industrial and service companies with different levels of technological intensity (high-tech versus low-tech). The conceptual model presented is of an innovative nature, since it includes four groups of determinant factors present in the literature, namely technology, market, public policies, and cooperation relationships, and adds a fifth group of determinant factors still to be explored empirically concerning the adoption of lean management principles. In the empirical approach, five research hypotheses arising from the literature review are tested, using secondary data collected from the Community Innovation Survey (CIS)—CIS 2010 for a total sample of 334 companies, made up of 95 high-tech companies and 239 low-tech companies. The conceptual model is tested using a logistic regression method, which indicated a suitable accuracy and reliability for the purposes of empirical tests. The empirical evidence confirms that most of the groups of determinants previously identified in the literature have a significant influence on eco-innovation. In addition, the empirical evidence obtained here indicates a positive and significant effect of lean management principles on eco-innovation.

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Section: Discussionmentioning

confidence: 89%

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confidence: 75%

Section: Discussionmentioning

confidence: 99%

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Eco-Innovation Influencers: Unveiling the Role of Lean Management Principles Adoption

2019

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“…Agrawal found that the rooted inflow of foreign talent may crowd out existing talent, which may damage the scientific development of the region [31]. In addition, industry-university-research cooperation can also significantly improve the sustainable development and innovation capabilities of enterprises [32,33]. Summarizing the above, it can be seen that absorptive capacity affects innovation capacity by affecting knowledge spillovers.…”

Section: Introductionmentioning

confidence: 95%

An Analysis on the Spatial Effect of Absorptive Capacity on Regional Innovation Ability Based on Empirical Research in China

et al. 2020

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Innovation is the primary driving force for development and the core of green, healthy, and sustainable economic development. This paper researches the spatial effect of absorptive capacity on regional innovation capacity from the perspective of knowledge spillover. We use the seven dimensions such as R & D intensity to build an absorptive capacity index evaluation system. After statistical verification, we select the most suitable empirical model, the dynamic Spatial Durbin Model with two-way fixed effect. The empirical results show that: (1) The promotion effect of absorptive capacity on knowledge spillovers in one province has no obvious effect on innovation promotion in other provinces, especially provinces at similar economic levels. However, it tends to inhibit the innovation development of neighboring provinces. (2) The impact of absorptive capacity on promoting knowledge spillovers varies from region to region. The eastern provinces of China are not affected by the absorptive capacity of neighboring provinces. The regression results of the central and western regions are not substantially different from the full sample. This study puts forward some policy suggestions based on the empirical results. It shows that a higher absorptive capacity does not mean better performance. The Chinese government should thus promote innovation in different provinces according to the local conditions. Sustainability 2020, 12, 3021 2 of 23 Although China has already become the second largest economy in the world, its comprehensive innovation capacity is relatively weak. Up to now, there have been some problems in China's innovation development, such as imbalance and inadequacy. Population and resource mismatches and weak industrial sustainability are already prominent. The Chinese government has given long-term attention and support to innovation development. President Xi Jinping has repeatedly stressed at various conferences that innovation development is urgent. The National Innovation Blue Book: China Innovation Development Report (2016) summarizes the situation: "There are two major constraints on China's innovation development. One is the insufficient use of innovation resources; the other is the insufficient economic transformation rate of innovation results." In view of the above, after consulting the relevant literature, this paper found that the two ratios are closely related to knowledge elements and absorptive capacity. Knowledge is an important factor in innovation development, and its spillover has a significant effect on sustainable economic development [1]. Absorptive capacity also plays a positive role in this process [2]. Nieto and Quevedo emphasized that only when external knowledge is absorbed is the entire spillover process complete. In addition, absorptive capacity is the key to improving spillover efficiency.[3] EgbeTokun and Savin explained that a region with high absorptive capacity can quickly transform received knowledge into expected economic output and realize benefits [4].Based on the above, thi...

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“…As the chemical industry is one of the most emission-intensive sectors, R&D cooperation between chemical companies, universities and research institutes, as well as firms' participation in industrial clusters could create knowledge spillover effects and sustainable innovation activities [40]. It is also important to shape policies supporting sustainability, eco-innovation and resource efficiency in this industry [41].…”

Section: Introductionmentioning

confidence: 99%

The Relationship between Economic Complexity, Energy Consumption Structure and Greenhouse Gas Emission: Heterogeneous Panel Evidence from the EU Countries

2019

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The aim of the paper is to examine the long-term relationship between economic complexity, energy consumption structure, and greenhouse gas emission, within a panel of European Union countries and two subpanels: (i) European economies with higher economic complexity and (ii) European economies with a lower level of economic complexity. Taking into consideration the heterogeneity among European countries, the heterogeneous panel technique is used, including panel estimation through fully modified least squares (FMOLS) and dynamic ordinary least squares (DOLS). The empirical findings indicate a long-term equilibrium relationship between economic complexity, energy consumption structure and greenhouse gas emission within all three panels. Economic complexity and energy consumption structure have a statistically significant impact on greenhouse gas emission within all panels, but the influence is higher within the subpanel of countries with a lower level of economic complexity, suggesting a higher risk of pollution as the economic complexity grows and as the energy balance inclines in favor of non-renewable energy consumption. Our paper suggests that the economic complexity is a variable that must be taken into consideration when national economic and energy policies are shaped. Finally, policy implications for each panel of countries are discussed.

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R&D Cooperation and Knowledge Spillover Effects for Sustainable Business Innovation in the Chemical Industry

Cited by 62 publications

References 84 publications

Eco-Innovation Influencers: Unveiling the Role of Lean Management Principles Adoption

Eco-Innovation Influencers: Unveiling the Role of Lean Management Principles Adoption

An Analysis on the Spatial Effect of Absorptive Capacity on Regional Innovation Ability Based on Empirical Research in China

The Relationship between Economic Complexity, Energy Consumption Structure and Greenhouse Gas Emission: Heterogeneous Panel Evidence from the EU Countries

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