Emerging green-tech specializations and clusters – A network analysis on technological innovation at the metropolitan level

Marra, Alessandro; Antonelli, Paola; Pozzi, Cesare

doi:10.1016/j.rser.2016.09.086

Cited by 79 publications

(43 citation statements)

References 25 publications

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“…Relevant policies include demand-side instruments (public procurement, 'green' infrastructure investment), supply-side instruments (financial subsidies to infant industries, skills and qualifications, public R&D) and support of knowledge exchange via such 'horizontal platforms'. Analyses of green-tech clusters in metropolitan areas (Marra, Antonelli, & Pozzi, 2017) and industrial regions (Tödtling, Höglinger, Sinozic, & Auer, 2014) provide support for the view that cross-industrial knowledge circulation and policies aiming to facilitate such flows are superior to traditional cluster approaches. These studies also point to the significance of other policy measures like environmental standards, public demand and procurement (Tödtling et al, 2014) and examine the gradual transformation of green-tech clusters into open cross-industry platforms that combine competences, specializations and capabilities from several industries, such as software, transportation, analytics, construction and biotechnology (Marra et al, 2017).…”

Section: Traditional Systemic Approaches and Policiesmentioning

confidence: 90%

Regional innovation policies for new path development – beyond neo-liberal and traditional systemic views

Tödtling

Trippl

2018

European Planning Studies

117

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How new regional growth paths emerge and what policy concepts are most adequate for nurturing their evolution constitute recurring themes in regional innovation and development studies. New industrial paths are often portrayed as the result of market-driven processes and Schumpeterian entrepreneurial efforts. This view goes along with a neoliberal policy approach that restricts the role of public interventions to setting up a suitable regulatory frame and supporting an entrepreneurial climate. The theoretical underpinnings and policy perspectives of this approach have been challenged by the innovation system literature, which offers a systemic view on the rise of new growth paths and advocates a more proactive role of public policy. This paper investigates the role of policy models beyond these traditional ones. We contrast different variants of systemic and multi-scalar policy concepts for new regional industrial path development. Our literature-based study shows that more recent models go beyond new path development and growth per se, paying more attention to the direction of innovation and change, and to policy approaches for achieving more sustainable forms of development. We scrutinize the theoretical and empirical bases of these new policy models and discuss why they are superior to neoliberal and older systemic ones. ARTICLE HISTORY

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Section: Traditional Systemic Approaches and Policiesmentioning

confidence: 90%

Regional innovation policies for new path development – beyond neo-liberal and traditional systemic views

Tödtling

Trippl

2018

European Planning Studies

117

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“…Thus, the green entrepreneurship of Guanghe Energy covers the business of these two industries, showing a certain degree of typicality. Secondly, most of the green entrepreneurial enterprises are innovative new ventures or small and medium-sized businesses (SMEs) that are able to respond more positively to the demand for green products than large ones in almost any market segment [2,22]. As a mid-sized enterprise that continuously undertakes green entrepreneurship, Guanghe Energy has entered the construction industry after undertaking green entrepreneurship in the energy industry.…”

Section: Methods and Samplementioning

confidence: 99%

“…Most of the green entrepreneurial enterprises are innovative new ventures or small and medium-sized businesses (SMEs) that are able to respond more positively to the demand for green products than large ones in almost any market segment, but they also often face higher technical uncertainty [2,22]. For green entrepreneurial enterprises, they need to overcome the technological complexity in pursuing innovation achievements, such as green products and services.…”

Section: Model Buildingmentioning

confidence: 99%

“Green Ocean Treasure Hunting” Guided by Policy Support in a Transitional Economy

Sheng

Gao

et al. 2018

Sustainability

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For countries in the process of economic transition, improvement of industrialization is no longer the sole goal of their economic development. While upgrading the level of industrial development, these countries also gradually attach importance to resource utilization efficiency and environmental protection, which is why green entrepreneurship has become increasingly popular in recent years. With the intensification of policy guidance, a new "sea area" named green entrepreneurship ushers in more and more "treasure hunters" exploring "the treasure" therein. Based on this, this paper constructs the model of "Green Ocean Treasure Hunting" for green entrepreneurial enterprises to analyze the role played by their government's relevant policies and puts forward the research proposition of this article based on the relevant literature. On this basis, this paper chooses and analyzes a medium-sized, high-tech enterprise in China which follows a certain typical green entrepreneurial process as evidence of the propositions we have put forward.

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“…Metadata are proxies of firms' products, services, technologies and, more generally, refer to the know‐how, capabilities and knowledge on which firms build their own specializations. Such information, bottom‐up (generated by companies' owners and employees, and other contributors) and up‐to‐date, is at a very detailed level and much more informative than SIC codes, as showed by the relevant and recent literature (Marra et al, ; Marra, Antonelli, & Pozzi, ; Nathan & Rosso, ; Nathan, Rosso, & Bouet, ; Papagiannidis, See‐To, Assimakopoulos, & Yang, ; Tech City, ; Tech City, ).…”

Section: Datasetmentioning

confidence: 99%

Exploring networks of proximity for partner selection, firms' collaboration and knowledge exchange. The case of clean‐tech industry

Marra

Carlei

Baldassari³

2019

Bus Strat Env

Self Cite

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Nowadays scholars widely recognize that know‐how, capabilities and knowledge needed to generate innovations often reside outside the firm, start‐ups are a valuable source, and collaborative networks are a fundamental strategy for innovation. This is true especially for the clean‐tech sector, which is characterized by the continuous search for innovative solutions and technological advancements. The purpose of the paper is to provide a methodological support for the screening of potential partners based on network analysis and, then, help firms to select them for collaboration and knowledge exchange. The methodology can be easily adopted by managers and executives to identify firms to monitor with greater attention for future investments. The analysis is on a dataset of 4,782 clean‐tech companies operating worldwide. Results highlight that energy companies looking for external sources could investigate their network of business proximity if they intend to specialize in a defined field and/or collaborate with similar partners, while they could explore their network of strategic proximity if they intend to diversify their businesses, that is cooperating and exchanging knowledge with firms with distant but complementary capabilities and resources.

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Emerging green-tech specializations and clusters – A network analysis on technological innovation at the metropolitan level

Cited by 79 publications

References 25 publications

Regional innovation policies for new path development – beyond neo-liberal and traditional systemic views

Regional innovation policies for new path development – beyond neo-liberal and traditional systemic views

“Green Ocean Treasure Hunting” Guided by Policy Support in a Transitional Economy

Exploring networks of proximity for partner selection, firms' collaboration and knowledge exchange. The case of clean‐tech industry

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