Papers in Evolutionary Economic Geography

May 21, 2024

# 24.16 Colocation of skill related suppliers – Revisiting coagglomeration using firm-to-firm network data

Filed under: 2024 — Tags: , , , — sgpetraliauunl @ 11:54 am

Sandor Juhasz, Zoltan Elekes, Virag Ilyes & Frank Neffke

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Strong local clusters help firms compete on global markets. One explanation for this is that firms benefit from locating close to their suppliers and customers. However, the emergence of global supply chains shows that physical proximity is not necessarily a prerequisite to successfully manage customer-supplier relations anymore. This raises the question when firms need to colocate in value chains and when they can coordinate over longer distances. We hypothesize that one important aspect is the extent to which supply chain partners exchange not just goods but also know-how. To test this, we build on an expanding literature that studies the drivers of industrial coagglomeration to analyze when supply chain connections lead firms to colocation. We exploit detailed micro-data for the Hungarian economy between 2015 and 2017, linking firm registries, employer-employee matched data and firm-to-firm transaction data from value-added tax records. This allows us to observe colocation, labor flows and value chain connec- tions at the level of firms, as well as construct aggregated coagglomeration patterns, skill relatedness and input-output connections between pairs of industries. We show that supply chains are more likely to support coagglomeration when the industries in- volved are also skill related. That is, input-output and labor market channels reinforce each other, but supplier connections only matter for colocation when industries have similar labor requirements, suggesting that they employ similar types of know-how. We corroborate this finding by analyzing the interactions between firms, showing that supplier relations are more geographically constrained between companies that operate in skill related industries.

# 24.15 MNE Spillovers and Local Export Dynamics in China: The Role of Relatedness and Forward-Backward Linkages

Filed under: 2024 — Tags: , , , , , — sgpetraliauunl @ 11:52 am

Yibo Qiao, Nicola Cortinovis & Andrea Morrison 

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This article investigates how MNEs influence the export behavior of domestic firms in the context of China. We conceptually disentangle different MNE spillovers related to local export dynamics, linking in a unique framework specific spillover mechanisms, channels, activation conditions and type of knowledge conveyed. Empirically, our analysis relies on a panel dataset containing all Chinese manufacturing firms in the period 2000-2007. The results show that relatedness linkages matter in the context of export quantity, while forward-backward linkages matter for the sophistication of export. These findings suggest that relatedness linkages convey mainly marketing-related knowledge spillovers, while forward-backward linkages are diffusing mainly product-related knowledge spillovers.

May 15, 2024

# 24.14 The Roles of Geographic Distance and Technological Complexity in U.S. Interregional Co-patenting Over Almost Two Centuries

Milad Abbasiharofteh, Tom Broekel & Lars Mewes

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This paper examines how geographical proximity affected interregional co-patenting links in various technologies in the USA from 1836 to 2010. We classify technologies by their complexity and test whether that moderates the impact of distance on collaboration. Contrary to the ‘death of distance’ hypothesis, distance still matters for knowledge creation and exchange. Moreover, we show that the role of complexity has changed over time. However, this pattern reversed by the late 20th century, with collaborations in complex technologies becoming more resilient to distance than those in simpler technologies. However, this pattern reversed by the late 20th century, with collaborations in complex technologies becoming more resilient to distance than those in simpler technologies.

# 24.13 Green-tech transition beyond regional borders: the role of embodied green knowledge flows

Filed under: 2024 — Tags: , , , — sgpetraliauunl @ 10:59 am

Adelia Fatikhova, Fabrizio Fusillo, and Sandro Montresor

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Abstract:

This work investigates the role of external exchanges of green knowledge on the regional development of new green technological specializations. We extend the recombinant knowledge framework to commodity-embodied knowledge and posit that inter-industry inter-regional flows of commodities, in which new green knowledge gets incorporated, are a channel through which regions can increase their opportunities of specializing in new green technologies and diversify in a more exploratory manner. We further expect these dynamics to be stronger when foreign rather than domestic embodied flows are concerned. By combining the EUREGIO input-output database with patent data, we test our hypotheses on a sample of 237 EU (NUTS2) regions over the period 2000-2019. We measure the regions’ centrality in the network of inter-regional flows of embodied green knowledge (GreenFlowNet) and exploit regional network centrality in a model of related diversification for green technologies. Results show that the centrality of regions in the network is positively associated with green diversification, making this process more exploratory. We also find that the regional ability to acquire new green-techs is mainly associated with the centrality in outward flows of green knowledge towards other regions rather than inward ones. Lastly, we find that regions’ green-tech diversification seems to be enabled (at the extensive margin) primarily by their centrality in the foreign network and accelerated (at the intensive margin) by their centrality in the domestic one. Policy implications are drawn accordingly.

May 6, 2024

# 22.12 Bridging the innovation gap. AI and robotics as drivers of China’s urban innovation

Filed under: 2024 — Tags: , , , , — sgpetraliauunl @ 12:28 pm

Andrés Rodríguez-Pose and Zhuoying You

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Artificial intelligence (AI) and robotics are revolutionising production, yet their potential to stimulate innovation and change innovation patterns remains underexplored. This paper examines whether AI and robotics can spearhead technological innovation, with a particular focus on their capacity to deliver where other policies have mostly failed: less developed cities and regions. We resort to OLS and IV-2SLS methods to probe the direct and moderating influences of AI and robotics on technological innovation across 270 Chinese cities. We further employ quantile regression analysis to assess their impacts on innovation in more and less innovative cities. The findings reveal that AI and robotics significantly promote technological innovation, with a pronounced impact in cities at or below the technological frontier. Additionally, the use of AI and robotics improves the returns of investment in science and technology (S&T) on technological innovation. AI and robotics moderating effects are often more pronounced in less innovative cities, meaning that AI and robotics are not just powerful instruments for the promotion of innovation but also effective mechanisms to reduce the yawning gap in regional innovation between Chinese innovation hubs and the rest of the country.

April 30, 2024

# 24.11 The Skill Requirements of the Circular Economy

Filed under: 2024 — Tags: , , , , — sgpetraliauunl @ 1:17 pm

Duygu Buyukyazici and Francesco Quatraro

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In response to global challenges related to resource scarcity and environmental concerns, the circular economy (CE) has emerged as a transformative model focused on resource eciency and waste reduction. As the discourse around the CE intensifies, understanding the skill requirements of the CE becomes imperative for effective policy-making, workforce development, and regional competitiveness. This paper addresses the scarcity of quantitative methods on this aspect and proposes a conceptual and empirical framework to identify, analyse, and monitor the skill requirements of the CE through a comprehensive and reproducible approach based on relative skill advantage, skill relatedness, and skill complexity measures. Accordingly, it identifies the essential and complementary skills within the CE by constructing unique skill spaces and documents their regional variation.

# 24.10 The importance of science for the development of new PV technologies in European regions

Maria Tsouri and Ron Boschma

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Abstract:

Studies show that local capabilities contribute to the green transition, yet little attention has been devoted to the role of scientific capabilities. The paper assesses the importance of local scientific capabilities and the inflow of scientific knowledge from elsewhere for the ability of regions in Europe to diversify into photovoltaic (PV) segments during the period 1998 to 2015, employing a combined dataset on patents and scientific publications. We find that local scientific capabilities matter, but not so much the inflow of relevant scientific knowledge from other regions, as proxied by scientific citations of patents in PV segments. Regions are also likely to diversify into a PV segment when they have technological capabilities related to other PV segments. Finally, we found that European regions are less likely to lose an existing PV segment specialization when they have intra-regional and extra-regional scientific capabilities in this PV segment.

# 24.09 How regions diversify into new jobs: From related industries or related occupations?

Filed under: 2024 — Tags: , , , , — sgpetraliauunl @ 1:12 pm

Jason Deegan, Tom Broekel, Silje Haus-Reve and Rune Dahl Fitjar

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This paper adds a multidimensional perspective to the study of related diversification. We examine how regions diversify into new jobs – defined as unique industry-occupation combinations – asking whether they do so from related industries or related occupations. We use linked employer-employee data for all labour market regions in Norway, covering the time period 2009 –2014. Diversification into new jobs is more likely in the presence of related occupations and industries in a region. Furthermore, occupational and industrial relatedness have complementary effects on diversification. Occupational relatedness and its interaction with industrial relatedness are particularly important for diversification into more complex activities.

April 22, 2024

# 24.08 Inventing modern invention: the professionalization of technological progress in the US

Filed under: 2024 — sgpetraliauunl @ 4:39 pm

Matte Hartog, Andres Gomez-Lievano, Ricardo Hausmann & Frank Neffke

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Between the mid-19th and mid-20th century, the US transformed from an agricultural economy to the frontier in science, technology and industry. We study how the US transitioned from traditional craftsmanship-based to today’s science-based innovation. To do so, we digitize half a million pages of patent yearbooks that describe inventors, organizations and technologies on over 1.6M patent and add demographic information from US census records and information on corporate research activities from large-scale repeated surveys on industrial research labs. Starting in 1920, the 19th-century craftsmanship-based invention was, within just 20 years, overtaken by a rapidly emerging new system based on teamwork and a new specialist class of inventors, engineers. This new system relied on a social innovation: industrial research labs. These labs supported high-skill teamwork, replacing the collaborations within families with professional ties in firms and industrial research labs. This shift had wide-ranging consequences. It not only altered the division of labor in invention, but also reshaped the geography of innovation, reestablishing large cities as epicenters of technological progress and introduced new barriers to patenting for women and foreign-born inventors that have persisted into the 21st century.

April 8, 2024

# 24.07 Fueling the Fire? How Government Support Drives Technological Progress and Complexity

Filed under: 2024 — Tags: , , , — sgpetraliauunl @ 4:26 pm

Carolin Nast, Tom Broekel & Doris Entner

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This study investigated two major trends shaping contemporary technological progress: the growing complexity of innovation and the increasing reliance on government support for private research and development (R&D). We analyzed United States patent data from 1981 to 2016 using structural vector autoregressions and uncovered an indirect interplay between these trends. Our findings showed that government incentives and support played a crucial role in spurring private-sector innovation. This government-fueled innovation, in turn, paved the way for advancements in more intricate and sophisticated technological areas.

Our study sheds light on the dual role of the United States’ innovation policy over the past four decades; the policy has not only accelerated technological advancement but also steered it toward increasingly complex domains. While this trend presents opportunities for economic growth and technological breakthroughs, it also poses challenges, including the potential for further escalating R&D costs. This research has significant implications for policymakers and industry leaders, suggesting a need for a balanced approach to fostering innovation while considering the long-term economic and technological landscape.

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