Formulation Of Innovation Policies Research Articles

Does the import of green products encourage green technology innovation? Empirical evidence from China

Green technology innovation capability is an important support for the realisation of Sustainable Development Goals, and it is of great significance to discuss the impact of green product imports on green technology innovation policy formulation in importing countries. Based on the panel data of 30 provincial-level regions in China from 2012 to 2020, this paper empirically examines the effect and mechanism of green product imports on green technology innovation. The empirical results show that (1) the import of green products significantly constrain China's green technology innovation. After a series of robustness tests and endogeneity tests, the conclusion is still valid, and the inhibitory effect is mainly manifested as the import technology dependence effect. (2) From the impact of green product imports on different types of green technology innovation, the inhibition effect of incremental-type green technology innovation with lower innovation is stronger than that of radical-type technology innovation with higher innovation. (3) Further test of the moderating effect shows that green R&D investment weakens the inhibitory effect of green product import in the regions with higher and lower economic development levels, while the moderating effect of intellectual property protection only exists in the regions with less economic development. (4) The heterogeneity analysis shows that the import of different types of green products has a significant difference in the impact of green technology innovation. The finding of this study provides useful suggestions for formulating reasonable policies for promoting and protecting green technology innovation.

Study on the impact of digital economy on innovation output based on dynamic panel data model

PurposeThe digital economy has become a new engine for economic development, promoting the upgrading and transformation of traditional industries as well as fostering emerging industries and forms of business. Nonetheless, how does the digital economy affect innovation? The research objective is to explore the specific impact of the digital economy on innovation output.Design/methodology/approachThis paper innovatively adopts the dynamic panel data model (DPDM) to carry out an empirical study on the impact of the digital economy on innovation output, through the observation of 30 provincial-level administrative regions in China. Furthermore, the paper innovatively analyzes the impact of different dimensions of the digital economy on innovation output and the impact of the digital economy on different dimensions of innovation output.FindingsIt is found that the digital economy is conducive to boosting innovation output considering innovation continuity. Specifically, the driving impact of core industries and enterprise application of digital economy on innovation output is more prominent, but the driving impact of infrastructure and personal application on innovation output is not fully played. Meanwhile, the driving impact of the digital economy on the innovation output quality is more significant than that digital economy on the innovation output quantity.Originality/valueThis study employs a DPDM for the first time to investigate the specific impact of the digital economy on innovation output, and contributes to the existing literature on the digital economy and digital economy-driven innovation. The findings offer a comprehensive explanation for the impact of the digital economy on innovation output, which has reference value for the formulation of innovation policies driven by digital economy, thereby providing impetus for the sustained and stable development of China's economy.

Statistical Analysis of Wenzhou Municipal Innovation Policy

In 2022, under the dual influence of the COVID-19 and the international situation, China's economic development pressure will continue to rise. China has always regarded "innovation" as the core of its national development strategy. With the implementation of Wenzhou's strategy of creating "two healthy" pilot areas in the new era, Wenzhou has put forward many innovative policies. This research intends to collect the innovation policy texts issued by Wenzhou in the past, analyze the characteristics and direction of innovation policy formulation in Wenzhou through word frequency statistical analysis and word cloud map construction, and draw conclusions. The research found that the main direction of innovation policy formulation in Wenzhou is to use innovation to promote Wenzhou's industrial transformation and upgrading and high-quality economic development, including Zhejiang manufacturing, digitization, intelligence, independent innovation and other keywords. Furthermore, Wenzhou Municipal Government can improve the design concept and method of innovation policy from four aspects.

Research on the patent subject profitability based on the big data analysis

Patent profits that the sum of the benefits obtained by patent owners and related stakeholders are the basic issues of the regulation of patent system and policies. Patent profitability is the comprehensive reflection of the R&D level of innovators and a country’s technology transformation environment. A correct understanding of the patent profitability is helpful to the formulation of innovation policies and firm management. In this study, The patents whose maintenance time was about 20 years were defined as profitable patents. Based on the big data analysis of the granted patents from the five top patent offices in the 1990s, the patent subject profitability of different countries was compared. From the perspective of profit time, the patent subject profitability of China was similar to that of Japan and Europe. The patent subjects of the United States had the highest level of profitability, while the South Korea’s had the worst. It should not be considered that China’s patent subject profitability is much lower than other developed countries or regions. But there is still large place to improve.

Collaborative innovation in emerging innovation systems: Evidence from Central and Eastern Europe

Firms often lack competences and capabilities for creation and commercialization of innovations. The solution to this problem lies in sharing or acquisition of relevant resources through collaboration. The success of collaborative relationships depends on the type and the quality of partners involved and proximity between them. This is particularly true in emerging innovation systems of countries in transition from middle to high income levels. The objective of this paper is to explore whether collaboration with suppliers, customers, universities and research institutes and intra-group collaboration with partners of different origin in nine emerging innovation systems of Central and Eastern Europe facilitates commercialization of existing marginally modified, incrementally novel and radically novel products. Results of treatment analysis on a sample of over 10.000 firms from the Eurostat’s Community Innovation Survey reveal that domestic innovation competences and capabilities mostly fuel commercialization of existing products and that firms rely on a diverse network of collaborators. We find evidence of positive impact of collaboration on commercialization of existing products and to a lesser extent on incremental and radical innovations. Relevance of individual collaboration channels differs over countries. Among foreign partners, collaboration with entities from other European Union member states facilitates commercialization of existing products while partners from United States, China and India have positive effects on commercialization of incremental and radical innovations suggesting that cognitive proximity is more important than geographical, social, organizational and institutional proximities. Recommendations for formulation of innovation policies in emerging innovation systems are provided.

Beyond the ‘usual suspects’ – Alternative qualitative methods for innovation policy studies

In this paper we make three points about the current state and promising future directions of qualitative research in our field of innovation policy research. First, we argue that research design and methods are dealt with quite superficially in most innovation policy studies papers and journals providing little guidance to new scholars as to how to approach their research. Secondly we argue that when methods are discussed, it tends to be a narrow range of qualitative methods that are used – most commonly a case study approach drawing on interviews and document analysis. Thirdly, we suggest broadening our approach to contain more participatory and action-based research; these are suggested as ways to include more groups in the research design, increase the impact of our work and allow us a deeper understanding of the formulation and development of innovation policy as is possible. We do not argue that the old methods should be put aside but that new additional approaches could be considered to capture the essence of innovation policy formulation.

Penguatan Kapasitas Masyarakat Melalui Inovasi Formulasi Kebijakan Perencanaan Pembangunan Partisipasif di Kecamatan Wanasalam Kabupaten Lebak

The purpose of this community service activity is to co-ordinate with the community in developing innovative and participatory development planning policy formulation in a sustainable manner to produce the document as reference and recommendation of RPJMD and RKPD. The expected impact factor is to encourage the strengthening of the capacity of villagers both individually and in groups through the active participation of the community by utilizing local potentials and resources so as to generate village development planning cadres and transforming them into development policy actors as the subject of policy formulation. Strengthening Community Capacity-based innovation policy formulation is implemented through the following principles: (i) the community is the main actor of the development planner and is positioned as the decision maker / policy maker; (ii) prioritizing the values of local wisdom included in social capital in accordance with social, cultural and geographic characteristics; (iii) village governments are facilitators who facilitate village communities in developing innovative development planning policy formulations. The method used is Participatory Rapid Appraisal (PRA) or participatory village appraisal. The results of community service activities run in accordance with the predetermined plans. The stages of advisory activities are running well from socialization, observation and survey, identification, problem solving analysis and preparation of development planning documents to be handed over to village government as recommendation / reference materials for the preparation of RPJMD and RKPD.

Short Message Service (SMS) Bunda: Innovation Policy to Reduce Maternal Mortality in Brebes

SMS Bunda is a text-message service for pregnant women and postnatal mothers to reduce maternal and infant mortality. This paper examines the effectiveness of the Short Message Service (SMS) Bunda as used by the Regent of Brebes in Central Java to reduce maternal mortality. Using a combination of qualitative research methods - participant observation, interviews and document reviews, the results indicated that SMS Bunda reflects the formulation of innovation policies that are fundamentally pedagogic in changing the mindsets about women’s reproductive rights.

A methodology for technology trend monitoring: the case of semantic technologies

This paper introduces a systematic technology trend monitoring (TTM) methodology based on an analysis of bibliometric data. Among the key premises for developing a methodology are: (1) the increasing number of data sources addressing different phases of the STI development, and thus requiring a more holistic and integrated analysis; (2) the need for more customized clustering approaches particularly for the purpose of identifying trends; and (3) augmenting the policy impact of trends through gathering future-oriented intelligence on emerging developments and potential disruptive changes. Thus, the TTM methodology developed combines and jointly analyzes different datasets to gain intelligence to cover different phases of the technological evolution starting from the `emergence' of a technology towards `supporting' and `solution' applications and more `practical' business and market-oriented uses. Furthermore, the study presents a new algorithm for data clustering in order to overcome the weaknesses of readily available clusterization tools for the purpose of identifying technology trends. The present study places the TTM activities into a wider policy context to make use of the outcomes for the purpose of Science, Technology and Innovation policy formulation, and R&D strategy making processes. The methodology developed is demonstrated in the domain of "semantic technologies".

Dynamic marketing capabilities and radical innovation commercialisation

Innovation research tends to deem marketing management does not occupy salient place of strategic significance in innovation policy formulation. More recently, strategic marketing scholars have begun to highlight marketing capabilities as an integral part to general dynamic capabilities to facilitate radical innovation commercialisation. However, comprehensive frameworks are still required in substantiating the strategic conduciveness of specific dynamic marketing capabilities to radical innovation commercialisation in the international technology–intensive sector. The current study develops and validates the radical innovation commercialisation model that reconfigures relevant theoretical conceptualisations and empirical verifications to narrow this gap. As the model reveals, innovative corporate culture drives radical innovation commercialisation of international technology–intensive firms directly as well as through the mediation of dynamic marketing capabilities. Most noteworthy, the mediated impact is proven almost equivalent to the direct impact, illustrative of the strategic role of dynamic marketing capabilities in facilitating radical innovation commercialisation for international technology–intensive firms.

Regional innovation policies in a globally connected environment

The encouragement of innovation at the regional level has been the subject of a series of EU initiatives, but there is, as yet, no overarching framework that provides clear, effective and widely accepted guidance for policy-makers. We identify some of the limitations facing innovation policy in Europe and put forward some ideas based on interdisciplinary thinking and methods which may help overcome these limitations. We propose two approaches to address the challenge of innovation policy formulation: first, an evolutionary life cycle approach to deal with the dynamic nature of innovation and the development of emerging sectors; and second, an approach to value chain and value system analysis to determine areas of potential growth or possible bottlenecks in the delivery of innovation. These two approaches address innovation challenges from the perspectives of policy-makers and of innovators, and can help to overcome the policy and societal challenges facing Europe. Copyright The Author 2013. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com, Oxford University Press.

What Makes Knowledge Tacit? - On the Evolution of Knowledge-based Industrial Clusters

Geographical clusters of innovative activity are mediums for the efficient transfer of tacit and its effective translation into innovation. Their force of attraction stems from their ability to lower variable costs in innovative processes. Lower variable costs are the result of extensive investments in a common fixed asset: the economic and social structure of a cluster. The evolution of innovative industrial clusters is studied with an analytical framework, established on thermodynamic theory, that models the tradeoff between fixed costs and variable costs. We identify tacit as noise sensitive high-fixed-cost knowledge and demonstrate with the help of the analytical framework that it is more efficiently transmitted locally. Through the existence of a common context, geographic clusters reduce the effect of noise and make the transmission and application of tacit more efficient. Many properties of innovative clusters emerge as natural consequences of economic evolution, which inherently is a thermodynamic process. Our model has implications on the formulation of innovation policies and strategic industrial policies in general.