Regional Knowledge Spillovers Research Articles

Does Eco-Innovation of Emerging Market Firms Benefit from Knowledge Spillovers of MNC in a Multi-dimensional Task Environment?

Taking a socially proactive stance that aligns with their economic imperatives has led multinational corporations (MNCs) to focus on social innovation that tackles environmental challenges (or eco-innovation hereafter). Their knowledge of eco-innovation is important to emerging markets that are facing severe environmental challenges and to emerging market firms (EMFs) whose eco-innovation activities face resource and knowledge constraints. MNCs, through their foreign direct investment (FDI) activities in host emerging markets, can divulge economic, knowledge and environmental values of eco-innovation, helping EMFs to improve their eco-innovation through knowledge spillover channels. Taking the value-based approach, we draw on the eco-innovation research and the MNC/FDI spillovers literature to develop hypotheses on the relationship between regional knowledge spillovers of MNCs and the eco-innovation of EMFs in a multi-dimensional task environment characterized by munificence, complexity and dynamism. Our empirical examination is based on a sample of Chinese manufacturing firms from 2003 to 2013. We find support for hypotheses that regional knowledge spillovers of MNCs enhance the positive effects of munificence and mitigate the negative effects of complexity and dynamism on the eco-innovation of EMFs.

Learning from the best: how regional knowledge stimulates circular economy transition at company level

Abstract This paper investigates whether, and what kind of, regional knowledge has a stimulating effect on circular economy (CE) innovation by companies. We thus add to the literature on regional knowledge spillovers, which has rarely focussed explicitly on the CE. For the empirical study, we create econometric regressions based on a representative dataset with extensive information on the CE activities of about 1400 Swiss firms. The results confirm that regional knowledge is important for the implementation of CE innovations. However, geographical distance and the quality of the knowledge must be taken into account, that is, companies primarily learn from the best.

Disentangling the Effects of Knowledge Spillovers and Family Firm Nature on Innovative Performance: a Multilevel Approach

AbstractThe idiosyncrasies of family firms (FFs) may enable or hamper their ability to exploit the region’s knowledge spillovers. To the date, this issue has not been addressed by the literature. The purpose of this paper is twofold: firstly, to explore whether FF nature influences on firm innovative performance by acknowledging the fact that firm innovation happens in a certain location where firms are exposed to knowledge spillovers; and secondly, to analyse whether FF management plays a moderating role in the effects of regional knowledge spillovers on innovative outcomes. We used multilevel modelling and panel data methodology in a sample of 1191 Spanish manufacturing firms over the period 2009–2016. By applying multilevel analysis and panel data methods, the results indicate that being part of a family group increases innovative performance, and this effect seems to be even more important in regions with low technological or human capital resources.

A multilevel analysis of the technological impact of university-SME joint innovations

ABSTRACT The present research analyzes the determinants of the technological impact of the innovations developed by R&D collaborations between universities and Small and Medium Enterprises (SMEs). Specifically, by adopting a multilevel approach, this study reveals the significant role played by SMEs’ absorptive capacity, as well as by social and geographical proximity between the partnering organizations. In addition, this article shows the positive impact of the regional knowledge spillovers that are close to the technological fields of the innovations developed. The findings provide a better understanding of interactive learning in R&D collaborations between universities and SMEs, explaining how it may be further nurtured by knowledge spillovers available in SMEs’ Regional Innovation Systems (RIS). The article may also support SME managers in the definition of these collaborations, university managers in the orientation of their technology transfer effort, as well as policy makers interested in the development of a more effective RIS.

What drives total factor productivity growth? An examination of spillover effects

ABSTRACT This study analyses the role of regional characteristics, particularly regional knowledge spillovers, as drivers of total factor productivity (TFP) growth in 190 European regions. A new modelling approach for knowledge spillovers that is different from the commonly used neighbourhood matrices is proposed. Therefore, by estimating the impact of drivers on TFP growth, findings reveal a strong direct effect of TFP spillovers alongside factors such as research and development (R&D) spending, cultural values or perceived quality of governance. However, the results also show that the openness of regional society to progress is a prerequisite for the effective use of existing knowledge.

Phenomenon of Structural-Technological Proximity and Knowledge Spillovers between Russian Regions

International theoretical and empirical studies have shown that regional development and economic growth largely depend on spatial and non-spatial proximity of regions, which generates knowledge spillovers. We developed a methodological approach to measuring and visualising spatial and structural-technological proximity affecting regional knowledge spillovers. Moreover, we tested the techniques of the cartographic visualisation of the proximity of Russian regions. Further, we analysed foreign and domestic approaches to studying spatial and non-spatial proximity and obtained new results. We described the stages constituting a methodology for the quantitative assessment of different types of regional proximity. Additionally, we proposed a method for constructing a typology of regions based on the coefficients of the non-spatial proximity matrix, calculated according to the indicator “gross value added” for 15 sectors of the Russian National Classifier of Economic Activities (OKVED) for Russian regions. Using the data for the Novosibirsk region in 2005 and 2016, we applied methodological techniques for measuring and visualising geographical and structural-technological proximity (STB) of a region in relation to other constituent entities of the Russian Federation. The Novosibirsk region is located in the middle of the country and has a diversified structure of economic activities and science. For this particular region, there has been an increase in the likelihood of the emergence of knowledge spillover channels with various European regions of Russia and some regions of the Urals and the Far East. Proximity matrices can be used in econometric studies to test hypotheses about the impact of different forms of proximity on regional economic growth. Recommendations to enhance knowledge spillover coincide with the proposals to support the areas of innovative development stated in The Strategy of Spatial Development of the Russian Federation for the period until 2025.

Internalization of knowledge spillovers by regions: a measure based on self-citation patents

Previous papers have approached direct and indirect self-citations at a firm-level considering that firms that internalize more self-knowledge are also those with a more accumulated stock of knowledge, which translates into greater absorptive capacity. When these firms internalize their own knowledge, they are appropriating the returns of their own previous investments in R&D. This paper applies an indirect self-citation measure as a proxy for absorptive capacity of knowledge spillovers in regions to test whether specialization in more basic knowledge technologies facilitates or hampers the internalization of knowledge spillovers. Based on patent citation information from the Organization for Economic Co-operation and Development patent database and other control variables, we estimate a zero-inflated negative binomial model encompassing 645 NUTS-2 regions from 44 countries. The main results show that regions with a higher level of basic technological knowledge are more likely to internalize knowledge spillovers.

How are the potential gains from economic activity transmitted to the labour factor: more employment or more wages? Evidence from the Portuguese context

AbstractThe paper analyses the role of knowledge externalities in firms' employment and workers' wages. We test whether agglomeration economies and regional knowledge base exert a greater impact on wage growth than on employment growth, using spatial panel econometric techniques to control for unobserved spatial effects. Using a spatial panel for six Portuguese manufacturing industries, we found that regional knowledge spillovers, contrary to the theoretical assumptions, have a greater impact on employment in firms than on workers' wages. This analysis might enhance important policy debates about the effects of regional policies on employment and wages.

Innovation performance and the role of clustering at the local enterprise level: a fuzzy-set qualitative comparative analysis approach

ABSTRACTThis study, utilizes an innovative methodological approach, fuzzy-set Qualitative Comparative Analysis (fsQCA), investigating the drivers of heterogeneous geographies characterizing English Local Economic Partnerships (LEPs). The fsQCA technique offers a novel configurational alternative to regression-based approaches investigating the effects of clustering in conjunction with firm-level innovation, university third-sector activity (TSA) and entrepreneurship, on LEPs innovation performance. The findings, offer contributions to the theories of industrial clusters and innovation, regional innovation systems, knowledge spillovers and entrepreneurial university innovation within LEPs. First, supporting fsQCAs, no individual variable generates either a positive/negative innovation outcome. Second, while all positive innovation recipes include presence of the cluster variable, for negative innovation recipes, only one does not identify absence of clustering as relevant. Given that the cluster variable does not appear in any recipes without at least one of the other variables suggests activity concentration does not exist in isolation to generate innovation outcomes without other localized conditions existing, e.g. firm-level innovation. Third, there is evidence for the non-cluster-based aspects of knowledge spillover theory of entrepreneurship with respect to university activity and the entrepreneurial university concept. Instead, roles of entrepreneurship and university TSA, while important, appear to be more peripheral and geographically context specific.

Energy transition in Germany and regional spill-overs: The diffusion of renewable energy in firms

The success of transitioning energy consumption towards renewables highly depends on the willingness and ability of firms to adopt energy technologies that use renewable sources. Existing studies focus on the role of regulation and energy markets to explaining the diffusion of green energy. This paper looks at the specific role of the firms' regional environment in this process. We use a unique database combining the Community Innovation Survey 2014 for Germany and district-level data on renewable energy plants, the attitudes of a region's population towards 'green issues' and other control variables. We find that geographical proximity to electricity production based on renewable energy sources and the orientation of a region towards 'green issues' are both correlated to such innovations. Therefore, not only "hard" regulation measures such as the renewable energy law are relevant for renewable energy innovations. Our results show that subsidies for eco-innovation, high energy costs and regional knowledge spill-overs are linked to a rapid adoption of renewable energy by firms.

Measuring efficiency of innovation using combined Data Envelopment Analysis and Structural Equation Modeling: empirical study in EU regions

The main aim of this paper is to investigate the impact of patent applications, development level, employment level and degree of technological diversity on innovation efficiency. Innovation efficiency is derived by relating innovation inputs and innovation outputs. Expenditures in Research and Development and Human Capital stand for innovation inputs. Technological knowledge diffusion that comes from spatial and technological neighborhood stands for innovation output. We derive innovation efficiency using Data Envelopment Analysis for 192 European regions for a 12-year period (1995–2006). We also examine the impact of patents production, development and employment level and the level of technological diversity on innovation efficiency using Structural Equation Modeling. This paper contributes a method of innovation efficiency estimation in terms of regional knowledge spillovers and causal relationship of efficiency measurement criteria. The study reveals that the regions presenting high innovation activities through patents production have higher innovation efficiency. Additionally, our findings show that the regions characterized by high levels of employment achieve innovation sources exploitation efficiently. Moreover, we find that the level of regional development has both a direct and indirect effect on innovation efficiency. More accurately, transition and less developed regions in terms of per capita GDP present high levels of efficiency if they innovate in specific and limited technological fields. On the other hand, the more developed regions can achieve high innovation efficiency if they follow a more decentralized innovation policy.

Energy Transition in Germany and Regional Spillovers: What Triggers the Diffusion of Renewable Energy in Firms?

The success of an energy turnaround towards renewables highly depends on the willingness and ability of firms to adopt energy technologies using renewable sources. Existing studies focused on the role of regulation and energy markets (e.g. the price for fossil energy) to explain the diffusion of green energy technologies. The present paper tries to give a more comprehensive view on the determinants of renewable energy innovations focusing on the crucial role of firms' regional environment (role of regional spillover effects, the greenness of a region and the regional endowment with green energy plants). We use a unique database combining the Community Innovation Survey 2014 for Germany and NUTS 3 data on renewable energy plants, the greenness of a region and other economic control variables. We find that geographical proximity to electricity production based on renewable energy sources and the orientation of a region towards 'green issues' (measured by the share of green party voters) are both major drivers for such innovations. Furthermore, our results show that in addition to regulation, government subsidies for eco-innovation, high energy costs and regional knowledge spillovers contribute to a rapid adoption of renewable energy. The reinforcing nature of this process leads to a diverging regional development of renewable energy innovations.

Regional knowledge spillovers: a firm-based analysis of non-linear effects

ABSTRACTThis paper revisits the question of the role of knowledge externalities in firm productivity. It also addresses the overlooked issue of a plausible non-linear effect and differences among industries. Using a panel of Portuguese manufacturing firms, it finds that regional knowledge spillovers differ substantially across industries and they are non-linear, which is critical issue to promoting more assertive regional policies.

Searching for Isard’s Regional Essence

At the inception of the Southern Regional Science Association in the early 1960s, Walter Isard maintained that areal regions are fundamental units of observation and analysis. To this day, understanding the special significance of regions motivates much of our empirical research. In my address, I argue that regional fixed effects estimates from regression analysis can help us comprehend the distinctive character of areal units. This paper offers two examples from my research. First, I present the results of a regression model that explains regional knowledge spillovers in U.S. counties. Santa Clara County (Silicon Valley) has by far the largest fixed effect estimate of any U.S. county. Overall, the county level fixed effects for knowledge spillovers follow a pattern of rapid exponential decay. Next, I inspect neighborhood fixed effects taken from a hedonic housing price model of the Charleston, South Carolina region. The results suggest a clear preference for coastal proximity as reflected in house prices. For neighborhoods away from the coast, the fixed effects estimates exhibit a steep decline toward zero. Like Silicon Valley’s regional advantage in knowledge, beachfront neighborhoods benefit from an exclusive, time invariant advantage that is hard, if not impossible, to replicate in space.

Knowledge spillovers and high-impact growth: Comparing local and foreign firms in the UK

This paper is concerned with entrepreneurial high-impact firms, which are firms that generate ‘both’ disproportionate levels of employment and sales growth, and have high levels of innovative activity. It investigates differences in the influence of knowledge spillovers on high-impact growth between foreign and local firms in the UK. The study is based on an analysis of data from UK Innovation Scoreboard on 865 firms, which were divided into ‘high-impact firms’ (defined as those achieving positive growth in both sales and employment) and low-impact firms (negative or no growth in sales or employment). More precisely, the paper investigates the influence of knowledge spillovers on high-impact growth of foreign and local firms, from regional, sectoral and firm size perspectives. The findings suggest that (1) firms’ access to regional knowledge spillovers (from businesses and higher education institutions) is more significantly associated with high-impact growth of local firms in comparison to foreign firms; (2) because knowledge spillovers are more likely to occur in high-tech sectors (compared to low-tech sectors), firms in high-tech sectors are more associated with high-impact growth. Nonetheless, the relationship is stronger for local firms compared to foreign firms; (3) because small firms have greater need for knowledge spillovers (relative to large firms), there is a negative relationship between firm size and high-impact growth, but the negative relationship is greater for UK firms in comparison to foreign firms. Implications are drawn for policy and research.

Technology Spillovers and International Borders: A Spatial Econometric Analysis

ABSTRACTThe borders of the EU are open for the movement of resources but still there can be some strong negative effects of international borders on productivity and knowledge spillovers compared to the internal regional borders. These negative effects could be due to language barriers, cultural differences, local rules and regulation, legal issues, property rights, etc. These effects of international borders have an economic significance that need to be controlled when analyzing the regional knowledge spillovers. This aspect related to international borders has not been fully taken into account in the existing literature related to knowledge spillovers, therefore, ignoring this effect might under- or overestimate the effect of knowledge and technology spillovers. The results show that technology and knowledge spillovers are mainly coming from internal neighbor regions only, whereas spillovers across the international borders are statistically insignificant. Moreover, the results show that not properly incorporating border effects will lead to inaccurate estimates of the spillovers.

What drives innovation in the agricultural sector? A spatial analysis of knowledge spillovers

This article analyses the spatial concentration of agricultural innovation in Ireland. Influenced by the importance of knowledge spillovers, the roles of key innovation drivers are discussed. The analysis reveals a clear spatial concentration of agricultural innovation and while some of this variation can be explained by the spatial concentration of the sector, there are also other factors at play that drive the spatial distribution of innovation. More specifically, the distributions of research, education and advisory services show a similar spatial pattern to agricultural innovation, providing support for the existence of regional knowledge spillovers.

The effect of university and regional knowledge spillovers on firms’ performance: an analysis of the Spanish USOs

Previous empirical studies of university spin-off (USO) growth have applied a firm-based approach without modelling how contextual factors may influence firm growth. By adopting an ‘interactionist approach’, this paper tests the hypothesis that the regional and university contexts may partly determine USO growth, together with firms’ internal resources. Using a sample of 531 Spanish USOs located in 16 Spanish regions and launched by 51 universities over the 2001–2013 and applying multilevel modelling with macro- and micro-data, the findings confirmed that regional context, together with firm-specific characteristics, are important for explaining USO growth. More specifically, the presence of venture capitalists, the capacity to generate internal funds, and operating in high-tech industries have a positive effect on USO growth. On the basis of the results, we propose some policies for fostering USO growth.

Space and knowledge spillovers in European regions: the impact of different forms of proximity on spatial knowledge diffusion

Usually, knowledge spillovers (KS) are related to geographic proximity. In the present study, we measure KS on the basis of different proximity matrices, focusing on the relational, social, cognitive and technological preconditions for knowledge diffusion. In the light of previous studies on KS, we examine: (i) which types of proximity enhance or hamper knowledge flows, and (ii) whether local absorptive capacity favour such flows. Our results indicate that KS across European NUTS2 regions measured through geographic, relational, social, cognitive and technological proximity channels increase with local absorptive capacity. This finding points towards the emergence of large clusters of regions (absorptive capacity clubs) where relational, cognitive, social and technological proximity lock-in maximizes the returns to local investment in R&D.

Path Creation as a Process of Resource Alignment and Anchoring: Industry Formation for On-Site Water Recycling in Beijing

Where and how new industrial paths emerge are much debated questions in economic geography, especially in light of the recent evolutionary turn. This article contributes to the ongoing debate on path creation with a new analytical framework that specifies the formation of generic resources in embryonic industries. It suggests that path creation processes are not only conditioned by preexisting regional capabilities and technological relatedness but also by the way firm and nonfirm actors mobilize and anchor key resources for industry formation. Our framework elaborates on the early industry development phase, extending the focus on regional knowledge spillovers in evolutionary economic geography (EEG) literature with recent insights on industry formation dynamics from innovation studies. It understands early path creation as conditioned by four systemic resource formation processes—knowledge creation, investment mobilization, market formation, and technology legitimation—that can be mobilized both from inside or anchored from outside the region. The use and value of the analytical framework is illustrated by a case study on on-site water recycling technology (OST), based on interviews with 40 experts in three Chinese city regions. The findings suggest that, despite possessing the least favorable initial conditions, a sizable OST industry developed only in Beijing. This is explained based on the specific anchoring process of the four key resources in the early development stage of the industry. Our results imply that EEG would profit from incorporating a broader set of variables than knowledge-based relatedness in explanations of regional industrial path creation.