Government, policy-making and the development of innovation system: The cases of Taiwanese pharmaceutical biotechnology policies (2000–2008)

Chung, Chao-chen

doi:10.1016/j.respol.2013.01.007

Cited by 22 publications

(5 citation statements)

References 34 publications

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“…In this way, this study contributes to what Howlett and Rayner (2007, p. 13) call the 'third generation' of instrument choice studies that strive at improving knowledge about "designing and adopting optimal 'mixes' of instruments in complex decision-making and implementation contexts". Furthermore, the application of the model to our case within a complex multi-level context including a wide variety of public and private actors follows the call by Chung (2013) and Foray et al (2012) to pay more attention to the specific coordination requirements of policy mixes on a horizontal level (among and within departments). Finally, the inclusion of the micro-and meso-levels of policy processes follows Shove and Walker's (2010, p. 476) call for a stronger focus on 'dynamics of demand' as opposed to the often predominant focus on 'systems of supply' within the transition literature.…”

Section: Discussionmentioning

confidence: 99%

“…The question raised in this study is relevant on several accounts: First, "the actor and institutional context in which instruments operate will be crucial in determining their effects" (Flanagan et al, 2011, p. 709). Next, the specific coordination requirements of policy mixes to understand the dynamics of policymaking, in particular horizontal coordination among departments, has to be studied (Chung, 2013(Chung, , p. 1057. In fact, the quality of the coordination during policy delivery is crucial in the success of complex policy mixes.…”

Section: Introductionmentioning

confidence: 99%

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Mapping the mix: Linking instruments, settings and target groups in the study of policy mixes

2019

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This article proposes the extension of a conceptual framework aimed at analysing policy mixes and their outcomes and demonstrates its value added for the study of sustainability transitions. The argument is that policy mixes research should not focus only on the form of policy instruments, but also on their implementation context. Policy mix form designates the specific policy instruments that are involved according to a policy strategy. Policy mix context includes the specific setting where each policy measure is implemented, such as enterprise or family. It also includes the specific target group of each measure, such as youth or smokers. We apply this conceptual framework to the policy concept and implementation of tobacco control policies in Switzerland, which are an exemplary case for analysing transitions as they are geared towards behavioural change. In a mixed method approach, we triangulate different sets of quantitative and qualitative indicators in order to assess the implementation of eleven subnational policy mixes. Our findings show that taking into account the moderating role of settings between policy instruments and target groups allows for a more in depth analysis of policy processes. Observing the interactions between the four elements policy instruments, policy strategy, the implementation settings and the target groups allows capturing the complexity of policy mixes, at the crossroads of policy design, policy implementation and policy outcomes. Taking implementation settings and target groups into account in the analysis of policy mixes allows for a refined understanding of policy compliance and thus, from a broader perspective, of sustainability transitions.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mapping the mix: Linking instruments, settings and target groups in the study of policy mixes

2019

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“…The innovation system is an important part of the research on innovation network capability and dynamic change (Lukkarinen et al, 2018). On the basis of Schumpeter (1942Schumpeter ( , 2006's innovation and entrepreneurship ideas, research on innovation systems has a long history (Noisi et al, 1993) and has influenced many other disciplines (Casper & Waarden, 2005), such as energy (Borup et al, 2013;Miremadi et al, 2018), medical treatment (Currie & Guah, 2007), and biotechnology (Chung, 2013). The concept of the innovation system regards innovation as a cumulative complex social process (Borrás & Laatsit, 2019) and system (Katz, 2006), which can be used to describe and evaluate the process of innovation (Chang & Chen, 2004), provide a basis for policy formulation (Markard et al, 2015), and improve innovation efficiency (OECD, 2011).…”

Section: Innovation Systems: From Country To Citymentioning

confidence: 99%

Collaborative innovation efficiency: From within cities to between cities—Empirical analysis based on innovative cities in China

Wang

Wei

et al. 2021

Growth and Change

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The city is both a carrier and a subject of innovation. Based on the triple helix theory of industry–university research and the theory of spatial correlation, this study constructs a collaborative innovation framework both within the cities and between cities, and uses a network data envelopment analysis (DEA) model and spatial econometric model to measure and analyze the collaborative innovation efficiency in 75 innovative cities in China. The results show that collaborative innovation efficiency within cities is on the rise, and the efficiency of “research to production” is significantly higher than that of “learning to research.” Industrial structure and foreign factors have inhibited the efficiency improvements, and infrastructure and living standards have different promoting effects on different stages of efficiency. Between cities, capital flows have obvious spillover effects, which promote the efficiency of innovation networks, while the long‐term characteristics of institutional learning have a near‐term negative impact.

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“…The industry has duties and roles as entrepreneurial venturing (Knudson et al, 2004), capitalization of knowledge (Viale, 2013), production and value-added (Szeinbach et al, 1997), commercialization of product (Yang & Chang, 2010), and product life cycle (Allanson & Montagna, 2005). Meanwhile, the government has duties and roles in policy formulation (James & Jorgensen, 2009), national development program (Chung, 2013), infrastructure (Detmer, 2003), and safety and security of investment (Monsreal-Barrera et al, 2020). Translational knowledge commonly occurs between academia and industry in technology transfer, real-life research and development projects, and human resource internships (Hishida Koichi, 2013).…”

Section: Many Scholars Have Widely Applied Triplementioning

confidence: 99%

Triple Helix Collaboration in Indonesia’s Covid-19 Vaccine Development: Understanding The Barriers and Enablers

Jatraningrum¹,

Jati²,

Maludin³

et al. 2021

STIPM Journal

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<p>The development of the Covid-19 vaccine (nationally named Merah Putih Vaccine) is a national innovation activity initiated by the Indonesian central government and coordinated by the National Research and Innovation Agency. This study aims to understand the collaboration between the triple helix components (Industry, Academician, and Government) in the Merah Putih vaccine (MP vaccine). An exploratory study of the actors involved in developing the MP vaccine was carried out through a primary data collection process from January to August 2021. Furthermore, a descriptive analysis of triple helix collaboration discloses components, functions, and configuration in the MP vaccine development. Our finding reveals that the most highlighted issue is the reputation concerning two significant dimensions; scientists' experience or R&D human resources on real-life projects and the R&D facilities and infrastructure. However, neither of the dimensions can accelerate the proof-of-concept vaccine candidate immediately. The critical findings of this research serve as empirical evidence of the barriers and enablers of a national innovation project initiated by the government, as seen from the triple helix collaboration with the emerging issues approach</p><p>Keywords: Triple Helix Collaboration, Covid-19, Emerging Issue, Vaccine</p>

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Government, policy-making and the development of innovation system: The cases of Taiwanese pharmaceutical biotechnology policies (2000–2008)

Cited by 22 publications

References 34 publications

Mapping the mix: Linking instruments, settings and target groups in the study of policy mixes

Mapping the mix: Linking instruments, settings and target groups in the study of policy mixes

Collaborative innovation efficiency: From within cities to between cities—Empirical analysis based on innovative cities in China

Triple Helix Collaboration in Indonesia’s Covid-19 Vaccine Development: Understanding The Barriers and Enablers

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