Impact Of Knowledge Spillovers Research Articles

The Impact of Knowledge Spillovers on Economic Growth from a National Perspective: A Comprehensive Analysis

Knowledge spillovers, driven by development and research projects, are crucial in generating new companies and services. They enhance innovation, improve competitiveness, and sustain the economic growth of nations. Hence, this paper aims to examine the relationship between knowledge spillovers and economic growth. It offers a comprehensive review of the scientific literature on the relationship between knowledge spillovers and economic growth, investigating the impact of economic cycles on knowledge spillover. Doing this provides valuable insights into how to leverage them at the different stages of the economic cycle. Hence, a PRIMA systematic review was conducted. Articles from the last 15 years were analyzed from repositories and scientific databases with a Cohen’s kappa coefficient of 0.8902. This review identifies and presents a systematic analysis of the impacts of favoring and hindering knowledge spillovers in the economic growth of a nation. These effects offer greater resilience to a nation after periods of recession. In addition, the case study of three countries is presented to illustrate the findings from the review. The results show that better utilizing knowledge spillovers to enhance economic growth depends on a functional compromise between the university, industry, and governments to understand and commit to knowledge-based economic development. Our study has implications for policymakers who aim to boost economic growth by promoting knowledge spillovers.

The Impact of Knowledge Spillover from Universities in Sichuan-Chongqing Region on Regional Innovation Capacity

As an important subject of the regional innovation system, the scientific research activities of universities are not only the power source of talent cultivation and knowledge innovation but also an important force to promote regional innovation development. This paper examines the influence relationship between knowledge spillover from universities in Sichuan province and Chongqing city and regional innovation capacity from the aspects of teaching and research personnel input, research and development personnel input in research input, monographs, academic papers, technology transfer contracts and transfer income in research output. The results show that the improvement of the innovation capacity in Sichuan province and Chongqing city depends on the increase of teaching and research personnel input and the number of scientific and technological topics in universities, while other indirect scientific research results do not contribute significantly to the regional innovation capacity; further mechanism analysis reveals that the knowledge spillover from universities mainly promotes the improvement of regional innovation capacity through human capital, physical capital, and scientific and technological innovation.

Network structure and economic growth

This paper develops a multisector endogenous growth model which embeds a technology network that captures heterogeneous intersectoral knowledge spillovers. We show that the growth rate of knowledge is equal to the dominant eigenvalue of the technology network. The structure of the technology network is crucial in determining the effect of knowledge spillover. Specifically, the sparsity of the technology network imposes an upper bound on the impact of knowledge spillovers, which then determines the growth rate at both the sectoral and aggregate level.

Impact of Knowledge Spillover on Regional Club Convergence in China

Knowledge spillover theory introduces specialized knowledge and human capital accumulation into the production function, breaks through the limitations of traditional economic theory, and illustrates the continuous and permanent source and power of economic growth. This article attempts to study the “club phenomenon” of the uneven development of China’s regional economy from the perspective of knowledge spillover, using the Spatial Dubin Model (SDM) to process China’s provincial data from 1991 to 2015. Studies have shown that knowledge spillovers are conducive to narrowing the gap in the level of economic development between the eastern and central regions of China, but the gap in the level of economic development between the two regions is gradually widening, and there is a “club phenomenon”. Therefore, developing regional cooperation models and focusing on cultivating talents for innovation can improve China’s uneven regional economic development to a certain extent.

Impact of knowledge spillover on the knowledge transfer performance in China’s manufacturing industry

ABSTRACTIn order to systematically explore the impact of rising intellectual property rights protection on the driving effects that knowledge spillover exerts on knowledge transfer performance in China’s manufacturing industries, this paper constructs an improved dynamic threshold model with the level of intellectual property rights protection as a threshold variable. The results show that when the level of intellectual property rights protection crosses one of the two thresholds in turn, the driving effect first experiences a rise and then drops sharply, reflecting a significant double threshold feature; the driving effect exhibits the characteristic of spatiotemporal heterogeneity; compared with research and development (R&D) investments, R&D personnel input can more significantly enhance knowledge transfer performance.

The impact of knowledge spillovers and innovation on firm-performance: findings from the Balkans countries

This paper investigates factors affecting firm performance. Using data from Business Environment and Enterprise Performance Surveys (BEEPS 2013–2014), findings indicate that the following have a positive effect on firm performance: (i) innovative activities; (ii) knowledge spillovers; (iii) foreign ownership; and (iv) the proportion of skilled workers in the workforce. The paper therefore argues that innovation activities are endogenously related to firm performance, and that the performance of firms is influenced by knowledge spillovers and innovation activities, among other firm characteristics. The paper contributes to the literature by identifying spillovers and innovation activities as causal variables of firm performance—a novel approach to investigating knowledge spillovers and innovation activities.

The impact of knowledge spillovers on total factor productivity revisited: New evidence from selected European capital regions

This paper aims at identifying the contribution of knowledge capital to total factor productivity differences among European sub-national regions within a spatial econometric regression framework. Special emphasis is laid on the estimation of interregional spillovers between the Western and Eastern European regions, focusing on the triangle of capital regions Vienna-Budapest-Bratislava. By accounting for human capital stocks, the results suggest lower spillover effects emanating from patent activities. Moreover, Vienna appears to be the largest contributor to productivity increases in Bratislava. Budapest’s productivity seems to be sensitive to the knowledge and human capital endowments of the EU, but less so to those of Vienna.

The Impact of Competitor Information on Search Behavior

We used behavioral data to examine the impact of knowledge spillovers and competitor rankings on backward-looking search behavior. The stimuli were nested within a management simulation that included backward-looking search of an NK landscape. Participants were randomly assigned to one of four treatments. Information about competitors’ search progress was the only difference between the four treatments. We found that providing participants with information ranking their search progress against that of their competitors resulted in searches that were more intense, distant, and persistent. In contrast, data including only knowledge spillovers had a more limited impact on search behavior. Additionally, we observed an inverted-U shaped relationship between the likelihood with which performance decreasing changes were preserved and quality of the search's eventual outcome.

What Causes Trade-led Growth in India?

The impact of the recent rise in India’s exports on its economic growth is tested using the Johansen cointegration technique. On using different measures of both trade and economic growth variables, a unidirectional causality has been found from trade to economic growth. It is concluded that in India the most important sources of causation from trade to economic growth have been externalities generated by the export sector and a relatively higher productivity of the export sector, while no evidence is found in favour of a positive impact of knowledge spillovers generated by trade on economic growth.

Embodied and disembodied R&D spillovers to developed and developing countries

This paper examines R&D spillovers from G7 countries to other developed and developing countries. We find that knowledge diffusion to developed countries dominates developing countries through both trade and international telephone traffic. However, there is no significant differing effect for R&D spillovers through FDI. Overall, the impact of knowledge spillovers through FDI is smaller than that through trade and information technology.

Mansfield's Missing Link: The Impact of Knowledge Spillovers on Firm Growth

Mansfield's Missing Link: The Impact of Knowledge Spillovers on Firm Growth