scholarly journals Analysis of dynamics, structures and agent relationships in Regional Innovation Systems

2019 ◽  
pp. 379-387
Author(s):  
Julián-Alberto Uribe-Gómez ◽  
Diana-Patricia Giraldo-Ramírez ◽  
Luciano Gallón-Londoño ◽  
Javier-Dario Fernandez-Ledesma ◽  
Santiago Quintero-Ramírez
Keyword(s):  
Regional Scale ◽  
Innovation System ◽  
Network Clustering ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Agent Based ◽  
Systems Perspective ◽  
Analysis Of Dynamics ◽  
Favorable Conditions ◽  
Innovation Processes

This paper analyzes the regional innovation system of the department of Antioquia in Colombia, from a complex systems perspective and using an agent-based simulation model. Among the results is a model with significant variables and indicators for generating new knowledge and innovation on a regional scale. This provides evidence that more favorable conditions exist, insofar as a significant number of explorers encourages greater reciprocal actions with other agents in the regional structure. The number of patents and publications being generated will increase significantly and better network clustering becomes evident as a result. Finally, the model explores the dynamics, structures and relationships among agents in the system, paying special attention to the conditions within which innovation processes unfold at a regional level.

Regional Innovation Systems: Finland’s Experience

2012 ◽  
pp. 51-63
Author(s):  
V. Pchelintsev
Keyword(s):  
Systems Approach ◽  
Innovation Policy ◽  
Regional Scale ◽  
Innovation System ◽  
Policy Instruments ◽  
Innovation Systems ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Non Local ◽  
Innovation Policies

The paper examines governmental strategies, main actors and instruments of innovation policies shaping innovation-driven economy in Finland, with particular attention to the regional scale. The analysis focuses on how the regional innovation systems approach became a framework for the design of innovation policies. An innovation system involves cooperation between firms and knowledge creating and diffusing organizations, – such as universities, colleges, training organizations, R&D-institutes, technology transfer agencies. Innovations are considered as interactive learning process. Cooperation and interaction between regional/local and national/international actors is necessary to combine both local and non-local knowledge, skills and competences. The key elements of the policy environment, as well as implementation of the main regional innovation policy instruments – the Centers of Expertise Programme and Regional Centre Programme – are described.

scholarly journals Emergencia y complejidad en los Sistemas Regionales de Innovación: aplicación de una metodología basada en agentes del sector biotecnológico del estado de Sonora

2020 ◽  
Vol 32 ◽  
pp. 1-29
Author(s):  
María Socorro Arvizu Arvizu ◽  
Álvaro Bracamonte Sierra
Keyword(s):  
New Product Development ◽  
Innovation System ◽  
Development Stage ◽  
Small Sample ◽  
Network Behavior ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Agent Based ◽  
Future Performance ◽  
Different Types

Using a dataset gathered through a small sample of biotech firms in the Sonora region, we explore concepts of emergency and complexity inside a RIS (Regional Innovation System), in a development stage through the evolutionary microeconomics framework. For this, we explored the implementation of an ABS (Agent Based System) coded in the NetLogo platform, in which we simulated the behavior of firms in network behavior for the cooperation in the exchange of knowledge and new product development. We found this methodology highly useful for predictive analysis of possible courses of network behavior among different types of firms, as well as future performance of the system. Moreover, the coalescence and modulation of key economic variables for a RIS in development stages in nonlinear systems is an extraordinary and relatively unexplored tool for the study of Regional Innovation Systems (RIS) in developing countries.

Learning in the Regional Innovation Systems: An Agent Based Model

2017 ◽  
Vol 33 (57) ◽  
Author(s):  
Santiago Quintero Ramirez ◽  
Walter Lugo Ruiz Castañeda ◽  
Jorge Robledo Velásquez
Keyword(s):  
Innovation System ◽  
Innovation Systems ◽  
Regional Innovation System ◽  
Complex Phenomenon ◽  
Regional Innovation Systems ◽  
Agent Based Model ◽  
Regional Innovation ◽  
Agent Based ◽  
Market Opportunities ◽  
Simulation Exercises

Learning in regional innovation systems is a complex phenomenon. Therefore, its analysis is being increasingly approached through computer-simulated strategies. The agent-based model in particular has demonstrated to be a useful approximation to overcome the limitations of other methodological strategies since it allows a more trustworthy representation of the agent’s capabilities, their reasoning limitations, of the mechanisms used for decision making, their interaction, and their success formulas to take advantage of market opportunities. Nevertheless, the development of these models represents serious conceptual and methodological challenges. This article proposes a model that represents the agents of a regional innovation system as vectors of capabilities and the learning process as the accumulation of their innovation capabilities. The proximity among agents and the influence of public policies favors the result of the interaction induced by the market. Methodologically, the development of the model starts with a conceptual proposal validated through contrast against. specialized literature. After that, a model verified by computer was elaborated and its behavior was validated. Finally, a simulation of scenarios was performed to prove its potential application. The resulting model contributes to the understanding the learning dynamics and the emerging patterns of the agent’s specialization and their influence on the system’s performance. Finally, the simulation exercises demonstrate the model’s potential to guide policy decisions that seek to improve the performance regional innovation systems.

scholarly journals Regional Innovation Systems in Poland: How to classify them?

2021 ◽  
Vol 17 (3) ◽  
pp. 987-1003
Author(s):  
Dorota Ciołek ◽  
Anna Golejewska ◽  
Adriana Zabłocka-Abi Yaghi
Keyword(s):  
Innovation Policy ◽  
Innovation System ◽  
Weighted Average ◽  
Innovation Systems ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Metropolitan Regions ◽  
Industrial Enterprises ◽  
Innovation Potential ◽  
And Performance

The literature emphasises the role of regional and local innovation environment. Regional Innovation Systems show differences in innovation outputs determined by different inputs. Understanding these relationships can have important implications for regional and innovation policy. The research aims to classify Regional Innovation Systems in Poland according to their innovation capacity and performance. The analysis covers 72 subregions (classified as NUTS 3 in the Nomenclature of Territorial Units for Statistics) in 2004–2016. Classes of Regional Innovation Systems in Poland were identified based on a combination of linear and functional approaches and data from published and unpublished sources. It was assumed that innovation systems in Poland differ due to their location in metropolitan and non-metropolitan regions, thus, the Eurostat NUTS 3 metro/non-metro typology was applied for this purpose. Panel data regressions as models with individual random effects were estimated separately for metropolitan and non-metropolitan groups of subregions. The study identified common determinants of innovation outputs in both NUTS 3 types: share of innovative industrial enterprises, industry share, unemployment rate, and employment in research and development. Next, NUTS 3 were classified within each of two analysed types in line with output- and input-indices, the latter being calculated as non-weighted average of significant inputs. Last, the subregions were clustered based on individual inputs to enable a more detailed assessment of their innovation potential. The cluster analysis using k-means method with maximum cluster distance was applied. The results showed that the composition of the classes identified within metropolitan and non-metropolitan systems in 2004– 2016 remains unstable, similarly to the composition of clusters identified by inputs. The latter confirms the changes in components of the capacity within both Regional Innovation System types. The observed situation allows us to assume that Regional Innovation Systems in Poland are evolving. In further research, the efficiency of Regional Innovation Systems should be assessed, taking into account the differences between metropolitan and non-metropolitan regions as well as other environmental factors that may determine the efficiency of innovative processes.

scholarly journals Propuesta de un Método para la Aplicación de un Modelo de Simulación Basada en Agentes del Sistema Regional de Innovación

2015 ◽  
Vol 3 (2) ◽  
Author(s):  
E Embuz ◽  
J D Fernández-Ledesma
Keyword(s):  
Simulation Model ◽  
Innovation System ◽  
Innovation Systems ◽  
Regional Innovation System ◽  
Regional Innovation Systems ◽  
Research Groups ◽  
Regional Innovation ◽  
Regional Systems ◽  
Project Analysis ◽  
Los Grupos

Este artículo propone un método que permite aplicar de forma práctica, precisa y efectiva un Modelo de Simulación Basado en Agentes del Sistema Regional de Innovación (SRI), el cual ha sido desarrollado dentro del Proyecto “Análisis de la Estructura, relaciones y dinámicas de agentes de los Sistemas Regionales de Innovación” liderado por los Grupos de Investigación GISAI y GTI pertenecientes a la Universidad Pontificia Bolivariana sede Medellín. Esta propuesta de método está centrada en una revisión de las necesidades más relevantes de los Sistemas Regionales de Innovación y cómo éstas deben ser suplidas paso a paso a través de la estructura del Modelo de Simulación en su aplicación. AbstractThis paper describes a method of applying a simulation model based on Agents of Regional Innovation System (SRI), which has beendeveloped within the project "Analysis of the structure, relationships and dynamics of agents of the Regional Systems described innovation"led by GISAI Research Groups and belonging to the Universidad Pontificia Bolivariana in Medellín GTI. This proposed method is focusedon a review of the most important needs of the Regional Innovation Systems and how they should be met step by step through the structure of the simulation model in its application.  

Israel

2010 ◽  
pp. 272-280
Author(s):  
Edna Pasher ◽  
Sigal Shachar
Keyword(s):  
Intellectual Capital ◽  
Best Practice ◽  
Success Factors ◽  
Innovation System ◽  
Innovation Systems ◽  
Regional Innovation Systems ◽  
Information Communication ◽  
Regional Innovation ◽  
Knowledge Based ◽  
Critical Success

This chapter focuses on knowledge based development in regions, based on Israel’s experience. Israel, a small country in the Middle East, is a very unique case of a knowledge based region. The authors have extensively studied Israel as an innovative region in different contexts. Since 1998 they published three Israel Intellectual Capital Reports for the Israeli Government. During 2007 the authors led a study for the European Commission focused on regional innovation systems. This study has aimed to measure the effectiveness of participation in ICT (Information Communication Technology) EU projects on the EU innovation system at the regional level. Israel was selected as a regional best practice though it is a nation state and not a region since it is as small as a region, and since the authors had good relevant data from the previous IC reports and since Israel is consistently recognized as one of the most innovative countries in the world. The authors discovered that an Intellectual Capital audit is a powerful and useful framework to understand the effectiveness of regional innovation systems, offering the possibility for evidence-based future policies rather than retrospective performance analyses. This chapter demonstrates the case of Israel as a knowledge-based region, as well as critical success factors for regional innovation systems.

Dynamika regionálních inovačních systémů ve střední a východní Evropě

2020 ◽  
Author(s):  
Soňa Raszková
Keyword(s):  
Eastern Europe ◽  
Central And Eastern Europe ◽  
Innovation Systems ◽  
Northern Europe ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Favorable Conditions ◽  
Cluster Activity ◽  
High Cluster

This article examines regional innovation systems in Central and Eastern Europe, with particular attention to the regions with the highest innovation success. The articles also include a discussion of the presence of elements and dynamic of regional innovation systems in these countries. The Innovation performance of regions in Central and Eastern Europe is analyzed and selected progressive regions are further examined in terms of partial innovation and socio-economic indicators. Data on regions were obtained from the Regional Innovation Scoreboard 201at the NUTS II level. Detailed analysis is possible through a case study of the Malopolskie region. The analysis focuses primarily on the causes of the region's innovative progress, including the setting of favorable conditions for SMEs and the associated high cluster activity, the commercialization of research and the dissemination of external knowledge. On the basis of the overall analysis, RIS in Central and Eastern Europe are far below RIS in Western and Northern Europe and their results are very low compared to these regions.

scholarly journals Approach to the analysis and comparison of national innovation systems on the example of Russia and other countries

2019 ◽  
Vol 81 (1) ◽  
pp. 434-442 ◽  
Author(s):  
M. Yu. Afanasiev ◽  
M. A. Lysenkova
Keyword(s):  
Innovation System ◽  
Innovation Systems ◽  
Innovation Activity ◽  
Econometric Modeling ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Country Comparison ◽  
China And Japan ◽  
Innovation Space ◽  
The Impact

Currently, there is a tendency to evaluate the innovation system at the national level. Qualitative inter-country comparison requires quantitative and qualitative assessment of the factors influencing the innovation activity of the region. The purpose of this work was to justify quantitatively the impact of science and business on the innovation activity of the region. International patent applications are selected as an indicator reflecting the result of innovation activity in the region. Statistical hypothesis testing is carried out in this paper. The dependence between the results of innovation activity and innovation space of the region is confirmed by the methods of econometric modeling. The innovation space of the region is described in the work as a set of potential links between business and organizations that create new knowledge. The study used the official statistics of the regions of such countries as Russia, Switzerland, USA, China and Japan. Estimates of parameters of national and regional innovation systems of the Russian Federation, Switzerland, the USA, China and Japan are received by methods of econometric modeling. It is shown that the assessment of elasticity and technical efficiency of the innovation space of the region indicate the development of the innovation system. In the considered time range it is established that the Pareto-optimality property is possessed by the parameters of innovation systems of Japan, China and Switzerland. Estimates of the technical efficiency of the innovation space for a total of 190 regions according to 2012, a comparative analysis of the countries on the basis of the estimates. The paper provides a rationale for the use of parametric descriptions of national and regional innovation systems. This description can be used for cross-country comparison of the impact of science and business on the results of innovation activity, clustering of national innovation systems.

scholarly journals Regionalne strategie innowacji jako czynnik aktywizacji polskiej przestrzeni przemysłowej

2006 ◽  
Vol 9 ◽  
pp. 20-27
Author(s):  
Andrzej Wieloński ◽  
Katarzyna Szmigiel
Keyword(s):  
Economic Policy ◽  
Innovation System ◽  
Regional Innovation System ◽  
Regional Innovation Systems ◽  
European Regions ◽  
Regional Innovation ◽  
The West ◽  
The Third ◽  
New Instrument ◽  
Innovation Strategies

The main goal of the article is to present the regional innovation strategies in the context of the industrial changes in Poland. The analysis has three parts. The first part introduces the general aims of RIS and their history in Europe, the second concerns the RIS in Poland and one of the Polish RIS in particular – RIS Silesia, and the third part describes the effects of Regional Innovations Strategies.RIS are the instruments of regional governments to build the regional innovation systems. A regional innovation system is the environment improving the entrepreneurship and innovation. RIS have been known in Europe since the 1980s but in Poland they are a new instrument implemented by the relatively new structures of regional government.The process of creation and implementation of these documents should be observed by the academics from the beginning, as it may turn out to be one of the most important instruments of the economic policy of the Polish regions. This is because of the financial capacity of the Polish regions and their willingness to follow the West European regions’ example.

scholarly journals Productive articulation model as a regional innovation system

2020 ◽  
Vol 20 (2) ◽  
pp. 87-99
Author(s):  
Denisse Ballardo-Cárdenas ◽  
Pedro L. López-de Alba ◽  
Ernesto León-Castro ◽  
Ramón Martínez-Huerta
Keyword(s):  
Triple Helix ◽  
Innovation System ◽  
Industrial Sector ◽  
Jel Classification ◽  
Regional Innovation System ◽  
Transfer Of Knowledge ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Success Story ◽  
Regional Problems

This paper presents a productive articulation model that serves as the basis for developing and enhancing regional innovation systems. The main objective is to generate a process of linkage between the industrial sector, academia, and government within which specific regional problems can be solved through the effective intervention of each of the actors. In addition to the process, a success story is presented from the State of Guanajuato, Mexico, which serves to visualize as a clear and defined process of articulation that allows a transfer of knowledge between the actors. Keywords: Productivity articulation model; regional Innovation system; triple helix. JEL Classification: L38, O18 Received: 30/06/2020. Accepted: 05/11/2020.  Published: 01/12/2020

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