National Planning and Local Technology Zones: Experimental Governance in China's Torch Programme

2013 ◽  
Vol 216 ◽  
pp. 896-919 ◽  
Author(s):  
Sebastian Heilmann ◽  
Lea Shih ◽  
Andreas Hofem

AbstractMany studies raise doubts about the effectiveness of the institutions, programmes and instruments that shape the Chinese national innovation system. This article scrutinizes central–local interactions in the national Torch Programme that has governed a large group of high-technology zones since 1988. The Torch Programme's procedural practices challenge widely shared assumptions about the dirigiste character of Chinese innovation policy. It combines centralized definition of programme objectives with extensive local implementation experiments. As three case studies demonstrate, bottom-up policy innovations are effectively fed back into national programme adjustments and into horizontal policy diffusion. The array of organizational patterns and promotional instruments that emerges from competitive “experimentation under the shadow of hierarchy” (ESH) goes way beyond what could have been initiated from top down. We hypothesize that the procedural strengths displayed in the Torch Programme may provide better indicators of future innovative potential in China's high-technology zones than retrospective statistical indices and benchmarks that are derived from OECD experience.

Author(s):  
Анна Сазонова ◽  
Anna Sazonova

The national innovation system is one of the main mechanisms for restructuring the Russian economy. The implementation of innovations, the active development of the science and technology industry creates the necessary conditions and prerequisites for the transition of the economy to its new technological structure, providing an innovative type of economic growth. In recent years, the literature has developed many approaches to the definition of the concept of “innovative potential”. Some authors consider this category as a set of resources and capabilities of the system to create and implement innovations. Others define innovative potential as a measure of the region’s readiness to create and promote innovations. The third group of authors treats innovation potential as a result of innovation activity, identifying in some way the concept of “innovation potential” and “innovation process”. This article discusses approaches to the definition of a comprehensive indicator of innovative potential. The assessment methods considered in this article allow to determine the level of innovative potential of an organizational system, to perform a comparative analysis of systems according to a generalized indicator of innovative potential and its components, and also to develop programs for the development of organizational systems taking into account the effective use of innovative system capabilities.


2020 ◽  
pp. 46-54
Author(s):  
Serhii Glibko

Problem statement. The current state of the economy and the factors that contribute to development, require the search for possible options for building or restoring economic ties at the regional levels, will be the impetus for the economic formation of OTG. But these issues require mandatory reflection in the program documents of the regions and regulations of the state. The purpose of the study. The work is aimed at identifying elements of innovative infrastructure and system, the potential of which can be used to restore the innovative economy of the region and establish areas of economic and legal regulation of the task. Object of study. The scientific study of the structure of the regional innovation system of the Donetsk region was carried out taking into account the principles of transparency, accessibility, completeness, and objectivity of information about the participants of the regional innovation system. Presentation of the main material. The specifics of the regional economy in the Donetsk region require special attention and the use of unconventional methods of detecting them. The study uses some systems analysis approaches related to parts of the system and its purpose. The Law of Ukraine “On Innovative Activity” of 04.07.2002 No. 40-IV does not contain the concept of innovative potential, but defines that one of the basic principles of state innovation policy is the creation of conditions for the preservation, development and use of domestic scientific, technical and innovative potential. Moreover, the very formation of the competitive potential of the Donetsk region is one of the most intense powers, the realisation of this visit is due to the establishment and the disarming of competitive passes, in addition to the basis of the innovative innovation and the unbaked investment of the region of privbliy. It was established that behind the results of the analising of the participants of the regional and innovative systems of the Donetsk region, a table was stored. To report on the illegality of the strategic planning in regulatory legal acts the development of innovative structures, the infrastructure and the reform of the enterprise, which is the competence of the business bodies of ownership in this area. compass the provisions of the development of the innovative and innovative systems in the Donetsk region. Conclusions. Analyzing the above, we can draw the following conclusions: firstly, territorially, the participants are located in the regional centre of Kramatorsk as a whole, as well as in such large industrial cities as Bakhmut, Mariupol, Pokrovsk. The importance of creating and promoting the development of innovative infrastructure by local authorities will contribute to the effective development and productivity of the formation of a regional innovation system in the Donetsk region.


2020 ◽  
Vol 9 (2) ◽  
pp. 238-249
Author(s):  
Vitaliy Omelyanenko ◽  
Olga Kudrina ◽  
Olena Semenikhina ◽  
Vasily Zihunov ◽  
Olena Danilova ◽  
...  

The country's participation in the processes of high technology development and transfer depends on: the level of its socio-economic development; the effectiveness of identifying innovative priorities; the developing an international strategy. This necessitates the development of theoretical foundations and practical recommendations for countries' participation in high technology development processes in the global innovation system. We propose to consider high technology analysis as an analysis of public policy (interpretive analytics) and research in science and technology and technology assessment. Recently, an approach has come to the fore, in which it is necessary to focus not so much on absolute leaders who have already built their own chain of creation of innovations (from basic research to competitive companies), but more to develop their own unique competencies. The factor of formation of competitive innovative systems is creation of unique innovative environment on the basis of combination of technological basis, innovative economy and socio-cultural system. Keywords: innovation policy, high technology, innovative landscapes, clusters, human resources, technology transfer


2018 ◽  
pp. 10-37
Author(s):  
Barbara Curyło

In the discussion on the future of the EU, the topic of differentiated integration has become a strategic issue, with different variants beginning to appear as modus operandi of the European Union, which has become a subject of controversy among Member States. Significantly, the debate on differentiated integration began to be accompanied by reflections on disintegration. This article attempts to define disintegration on the assumption that it should be defined through the prism of integration, and that such a defining process can not be limited to concluding a one-way contrast between disintegration versus integration and vice versa. This is due to the assumption that the European Union is a dichotomous construct in which integration and disintegration mutually exclude and complement each other. This dichotomy is most evident in the definition of integration and disintegration through the prism of Europeanisation top-down and bottom-up processes that generate, reveal, visualize, stimulate integration mechanisms what allows to diagnose their determinants.


Author(s):  
Kathryn C. Ibata-Arens

What explains the rapid and sustained economic rise of Asian countries in high-technology industries, including biomedicals? The biomedical industry, comprised mainly of biopharmaceuticals and medical devices, is among the fastest growing globally and has been an economic-development target of national governments around the world. The book presents a conceptual framework to assess national government management of innovation and entrepreneurship in the fast-growing biomedical industry in Asia, which at current growth rates is on track to become the center of the world economy. Four Asian countries—China, India, Japan, and Singapore—are compared in terms of innovation capacities, government policy, and firm-level strategies underlying competitive advantages in high technology. The book argues that countries that pursue networked technonationalism have been effective in upgrading innovation capacity and also encouraging entrepreneurial activity in targeted industries. The study begins with a global-level analysis of biomedical innovation and entrepreneurship, identifying emerging concentrations of scientific citation, patenting, and firm creation—paying close attention to trends in Asian economies and future prospects. Findings indicate a gradual shift to Asian economies of many biomedical-innovation and new-business-creation activities. The book concludes with implications for innovation policy and entrepreneurship strategy in Asia and elsewhere.


Author(s):  
Juan de Lara ◽  
Esther Guerra

AbstractModelling is an essential activity in software engineering. It typically involves two meta-levels: one includes meta-models that describe modelling languages, and the other contains models built by instantiating those meta-models. Multi-level modelling generalizes this approach by allowing models to span an arbitrary number of meta-levels. A scenario that profits from multi-level modelling is the definition of language families that can be specialized (e.g., for different domains) by successive refinements at subsequent meta-levels, hence promoting language reuse. This enables an open set of variability options given by all possible specializations of the language family. However, multi-level modelling lacks the ability to express closed variability regarding the availability of language primitives or the possibility to opt between alternative primitive realizations. This limits the reuse opportunities of a language family. To improve this situation, we propose a novel combination of product lines with multi-level modelling to cover both open and closed variability. Our proposal is backed by a formal theory that guarantees correctness, enables top-down and bottom-up language variability design, and is implemented atop the MetaDepth multi-level modelling tool.


Drones ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 52
Author(s):  
Thomas Lee ◽  
Susan Mckeever ◽  
Jane Courtney

With the rise of Deep Learning approaches in computer vision applications, significant strides have been made towards vehicular autonomy. Research activity in autonomous drone navigation has increased rapidly in the past five years, and drones are moving fast towards the ultimate goal of near-complete autonomy. However, while much work in the area focuses on specific tasks in drone navigation, the contribution to the overall goal of autonomy is often not assessed, and a comprehensive overview is needed. In this work, a taxonomy of drone navigation autonomy is established by mapping the definitions of vehicular autonomy levels, as defined by the Society of Automotive Engineers, to specific drone tasks in order to create a clear definition of autonomy when applied to drones. A top–down examination of research work in the area is conducted, focusing on drone navigation tasks, in order to understand the extent of research activity in each area. Autonomy levels are cross-checked against the drone navigation tasks addressed in each work to provide a framework for understanding the trajectory of current research. This work serves as a guide to research in drone autonomy with a particular focus on Deep Learning-based solutions, indicating key works and areas of opportunity for development of this area in the future.


2017 ◽  
Vol 10 (3) ◽  
pp. 194-214 ◽  
Author(s):  
K.C. Fung ◽  
Nathalie Aminian

Purpose In this paper, the authors aim to examine some characteristics of the innovation system and policy in France and China. For comparison, they also highlight some high technology features of Silicon Valley and California. Design/methodology/approach The authors study the characteristics of innovation in France and in China. The authors examine the technology systems and policies in both countries and compare their features with those in Silicon Valley. Findings As far as France is concerned, it can be stated that the innovation system and policy are under transformation, going from a strong state involvement to a more decentralized framework. This evolution leads to a multi-level governance of the innovation system and to the emergence of new actors. For China, the most interesting development in China is the evolution of its internet-related sector. The authors argue here that the internet-driven economy is a radical, systemic technological change and it is rapidly growing in China. Originality/value One of the earliest papers comparing the innovation policies and activities in France, China and Silicon Valley.


Author(s):  
Larysa Mykhaylivna Chepurda ◽  
Ganna Mykolayivna Chepurda ◽  
Igor Volodymyrovych Bezugliy

Urgency of the research. The need to improve the ter-minology of the recreation and tourism sector is due to the emergence of new forms of business organization and the emergence of innovative institutions that significantly affect the processes of socio-economic development. Target setting. There is a scientific problem with the disclosure of the content of innovation in tourism, the innova-tion policy in the recreation-tourism sector, the definition of the innovation policy components, the mechanisms for its formation and implementation. Actual scientific researches and issues analysis. The literature reflects the evolution of the concept of "innovation in tourism." There are typologies and examples of such innovations. The examples of application of the latest innova-tive technologies at the Ukrainian tourism market are ana-lyzed and presented. Uninvestigated parts of general matters defining. The accumulated theoretical material requires the synthesis and development of methodological recommendations for the formation and implementation of innovation policy in the rec-reational and tourist sector of Ukraine. There is not a single standardized definition of innovation and innovation policy in tourism in the scientific community. The research objective. To reveal the meaning of the definitions: "Innovations in tourism", "Innovation policy in the recreation-tourism sphere". To generalize existing typologies of innovations in tourism. Identify the main factors hampering the implementation of information technology in the recrea-tion-tourism sector of Ukraine. To reveal the main directions of information support of the innovation policy realization process in the recreation-tourism sphere. The statement of basic materials. The article presents the existing definitions of the terms "innovation in tourism", "innovation policy in tourism". The author's interpretation of these terms is given. The existing classification of innova-tions in tourism is generalized. Examples of such innovations are given. The most common information technologies of-fered for use in tourism are presented. These factors re-strain the effective implementation of information technology in tourism. Conclusions. The effectiveness of state innovation poli-cy can be estimated by the impact on the pace of entrepre-neurship, the level of harmonization of innovation policy in society and stimulation of scientific development.


Author(s):  
Dorota Kuchta

Purpose – research on R&D projects implemented at universities shows that many researchers feel that the requirements set on R&D project definition in the process of calls for projects brake the innovativeness and the freedom of research. Thus, the objective of the paper is to propose a soft, fuzzy set based method of R&D project definition, which would allow to evaluate projects in the stage of project calls, but at the same time would not act contrary to the research ideas of the most ingenious and innovative researchers. Research methodology – the proposal is based on the results of over 70 structured interviews with R&D project managers from Polish and French universities. The respondents expressed their critical opinion about the required definition of R&D projects in the application stage of most calls, suggested which elements should be improved and in which way. Most of them criticised the required detail level of projects description and emphasized the uncertainty present in their research. Then we propose to model this uncertainty by means of fuzzy sets. Findings – the result of the research presented in the paper is a new way of R&D project definition, based on the fuzzy theory, adjustable to each R&D project type. The new method of project definition will express the actual uncertainty and innovative potential of each R&D project and thus allow a selection of R&D projects which would maximise their contribution to the university and science development. Research limitations – the proposed approach needs to be validated and verified on the basis of a big sample of a real world R&D project, with the participation of a representative sample of researchers. Another limitation is a highly probable resistance against such an approach among the researchers and research funding institutions, as it requires a deep analysis of the planned research and its context. Practical implications – it is proposed that the method will be used by research funding institutions in project calls. This will increase the efficiency of financial resources spent on research, in terms of value-added per one dollar invested in the research. Originality/Value – the proposed method is the first approach to project definition based on fuzzy numbers and one of very few existing approaches to project definition taking uncertainty into account


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