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on Economics of Strategic Management |
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Issue of 2014‒12‒29
eleven papers chosen by João José de Matos Ferreira Universidade da Beira Interior |
| By: | Chrysanthi Balomenou; Aniko Kalman; Konstantinos Kolovos |
| Abstract: | In the theoretical part of our paper focused on a) The role of the Knowledge / Universities as a leader of Technological change ? Knowledge transfer dynamics and its influence on Regional Development, b) the Entrepreneurship education: The role of the Entrepreneurial University, c) Knowledge Spillovers and regional Innovation System (RIS): empirical evidence of some European Regions, d) the current situation in Greek Higher Education, focusing on the New Educational Law and especially on the plan "Athena" of the Ministry of Education, for the restructure / reallocation of the Greek Universities and Technological Institutions e) The new Law for Research Technology and Innovation in Greece (Horizon 2020 program) c) The Hungarian case study. In the empirical part of our paper, we are studding the restructure / reallocation of the Greek Universities and Technological Institutions. Our research methodology, based on the data extracted from targeted questionnaires addressed both to Greek entrepreneurs and Greek universities ? Scientific Institutions, attempts to show on one hand how the Universities assess the business environment and their new role in the relevant new institutional framework and on the other hand how the Greek industries evaluate their cooperation with the universities sector and their new role in terms of supporting the local entrepreneurship, as well. The used method for analyzing the results is the one of SPSS (descriptive statistics, correlation ? convexity indicators). The main findings coming by the processing of the statistical data of our scientific research, reveal that in crisis period the universities can find a new source of funding by "advertising" their main mission, which is the diffusion of Knowledge, and especially, the innovative one that enterprises need, in order to succeed and to overcome the crisis bad effects. Thus, we can observe that the results of our empirical analysis are strongly related to the relevant literature presented in the theoretical part of our paper. Finally, considerable general conclusions, policy proposals and questions/ challenges for further research will be presented at the end of our study. Finally, we would like to draw your attention on the fact that during this period is taking palace an ongoing relevant research in Hungary and we are expecting the results in order to be able to make a comparative analysis and consequently the appropriate SWOT ANALYSIS. |
| Keywords: | Universities; Triple Helix Theory; Local Entrepreneurship; Endogenous regional growth; cross country cooperation ? collaboration in knowledge economy O30; 031; 0;32;O33; O38; R11; R58 |
| Date: | 2014–11 |
| URL: | http://d.repec.org/n?u=RePEc:wiw:wiwrsa:ersa14p954&r=cse |
| By: | Serena Frazzoni; Maria Luisa Mancusi; Zeno Rotondi; Maurizio Sobrero; Andrea Vezzulli |
| Abstract: | This paper assesses the role of relationship lending in explaining simultaneously the innovation activity of Small and Medium Enterprises (SME), their probability to export (i.e. the extensive margin) and their share of exports on total sales conditional on exporting (i.e. the intensive margin). We adopt a measure of informational tightness based on the ratio of firm’s debt with its main bank to firm’s total assets. Our results show that the strength of the bank-firm relation has a positive impact on both SME’s probability to export and their export margins. This positive effect is only marginally mediated by the SME’s increased propensity to introduce product innovation. We further discuss the financial and non-financial channels through which the intensity of bank-firm relationship supports SMEs’ international activities. |
| Keywords: | margins of export, bank-firm relationships, innovation, localized knowledge spillovers. |
| JEL: | F10 G20 G21 O30 |
| Date: | 2014–10 |
| URL: | http://d.repec.org/n?u=RePEc:ise:isegwp:wp182014&r=cse |
| By: | Reinhold Kosfeld; Mirko Titze |
| Abstract: | Strong regional clusters are increasingly seen as a response to economic globalization by policy makers and regional development agencies. The reasoning of competitive advantages of countries and regions with enterprises organized in clusters has mainly been popularized by Porter (1990, 1998, 2000). As well-working clusters are associated with high productivity growth and innovation potential, the cluster approach has become appealing in different fields of economic policy. In particular cluster-based instruments are in integral part of EU regional policy (Christensen et al., 2011). In most EU countries cluster-oriented policy plays an important role at the national and regional level (Oxford Research, 2008). This also holds for Germany where diverse national and regional programmes were set up to promote cluster development (Török, 2012). Although the cluster approach is based on the agglomeration theory, a variety of definitions of a cluster exists (Martin/Sunley, 2003). The present paper aims at improving the strategy of regional cluster identification. First, at the national level, the dominant related sectors of R&D intensive industries are basically discovered by qualitative input-output analysis (QIOA). Yet it has to be allowed for the fact that usually not all enterprises of these sectors belong to the respective value added chains. Thus, QIOA has to be supplemented by quantitative input-output analysis in order to avoid distortion effects that arise from defining too heterogeneous clusters. Here downstream and upstream sectors are considered according to their involvement in the production activities of the key industry. Secondly, at the local level, it has to be settled whether and how spatial externalities and spillovers should be allowed for in locating regional clusters. Most applied cluster studies ignore the presence of spatial interaction between interrelated geographical units. If geographical units are considered to be spatially independent in the presence of spillover, however, spatial clustering tends to be underestimated (Guillain/Le Gallo, 2007). Feser/Koo/Renski/Sweeney (2001) and Feser/Sweeney (2002) were the first to explicitly accounting for spatial interaction between regions in an applied cluster study for the US state of Kentucky. In a follow-up study, Feser/Sweeney/Renski (2005) extended spatial analysis to the United States as a whole. Both studies make use of the Getis-Ord statistic to measure and test for local spatial clustering (Ord/Getis, 1995). Recently, Pires et al. (2013) utilize the local Moran test for localizing industrial clusters in Brazil. A major drawbacks of both local methods is the necessity of fixing the environments of the regions in advance. reach of the geographical extent of potential spillover effects in advance. To allow for varying reaches of the geographical extent of regional interaction, here the flexible approach of spatial scanning is adopted (Kulldorff, 1997). On the basis of Kulldorff's scan test, the variable extent of potential regional clusters is accurately captured. |
| Keywords: | National cluster templates; regional clusters; Qualitative Input-Output Analysis (QIOA); spatial scanning |
| JEL: | R12 R15 |
| Date: | 2014–11 |
| URL: | http://d.repec.org/n?u=RePEc:wiw:wiwrsa:ersa14p1396&r=cse |
| By: | Petar Veselinović, Borivoje Rosić, Marija Stojanović (University of Kragujevac, Faculty of Economics) |
| Abstract: | In the second half of the twentieth century, there was a strong development of science, as well as the advance and spreading of technology, which have been recognized as key factors in determining the power and competitiveness of the national economy. One of the main reasons of certain countries coming to their wealth is the level of development of technology. The sole development of science and technology is not enough, but the development of a country depends on the socio - economic system, on its size, on the level of economic development, and on its capabilities to include a larger or smaller number of people in the field of scientific research and development process, as well as on the investments in those fields. Knowledge and modern technology are key factors of competitiveness of the economy to international markets and the increase of exports of technology products and services in international trade. Investments in human capital and technology contribute to economic growth and are a significant factor for innovation - driven national economy. |
| Keywords: | Competition, intellectual capital, innovation, education, knowledge management |
| JEL: | I25 |
| Date: | 2014–04 |
| URL: | http://d.repec.org/n?u=RePEc:esb:casprv:2014-108&r=cse |
| By: | Oscarina Conceição (DINÂMIA-CET, University Institute of Lisbon, Lisbon, Portugal & Polytechnic Institute of Cavado and Ave); Ana Paula Faria (Universidade do Minho - NIPE); Margarida Fontes (LNEG – National Laboratory of Energy and Geology. Lisbon, Portugal & DINÂMIA-CET, University Institute of Lisbon, Lisbon, Portugal) |
| Abstract: | Using a unique self-collected dataset that comprehends the population of research-based spin-offs created in Portugal from 1995 until to 2007, we investigate the location choices of these firms. In order to do so we control for both university- and region-related mechanisms. Our results suggest that the latter play a lesser role than university-related mechanisms. Although the availability of qualified human capital and urbanization economies seem to exert some effect on the location choices of research-based spin-offs, our results suggest that the quality and prestige of the universities located in a region, as well as the presence of university-affiliated incubators and/or university research parks have a stronger impact on the intensity of RBSO location across regions. |
| Keywords: | academic spin-offs; firm creation; location decision; count data analysis |
| Date: | 2014 |
| URL: | http://d.repec.org/n?u=RePEc:nip:nipewp:20/2014&r=cse |
| By: | Balázs Páger |
| Abstract: | The theoretical concepts about entrepreneurship have changed since the last three decades. It has become one of the most crucial factors in the economic processes. These changes in the theories about entrepreneurships have been supported by the shift in the whole economic environment. If we look the comparison of the managed economy and the entrepreneurial economy (Audretsch and Thurik 2001), it can be seen clearly those shifts which contributed to become entrepreneurship an important factor in the economic development. Entrepreneurships are embedded in that socio-economic environment, where they continue their economic activity. The entrepreneurship is influenced by those negative and positive factors (for example other institutions and actors, connections, externalities) which can be attributed to regional factors. It can be assumed that the regional context of the institutional and individual factors has a crucial role in the entrepreneurial performance of a given territory. If the definition of entrepreneurship has been looked, it can be observed that entrepreneurship is a multi-dimensional concept. This multi-dimensional character would require a complex view and measure of entrepreneurship. The Global Entrepreneurship and Development Index (GEDI) is a measure of entrepreneurship based on a system view (Ãcs et al 2013). Its methodology has been applied for the regional measurement of entrepreneurial performance which is called Regional Entrepreneurship and Development Index (REDI) (Szerb et al 2014). The REDI components, so-called pillars, have two components, and consequently two types of variables reflecting to the parts of the individual and institutional context of entrepreneurship. This paper focuses on the entrepreneurial performance of Central and Eastern European (CEE) regions which have been measured by the REDI. The performances of the CEE countries are compared with other European regions and they have been analysed on their own as well. It can be observed that CEE regions have relatively poor entrepreneurial performance amongst the European regions. As the regions' performance were compared to one another it can be observed that there are some factors which are weak not only on the regional but on the national level as well. One of the most important characters in the CEE regions is the high difference between the capital city and the other regions. It could mean that the economic weight and the entrepreneurial performance of the non-capital regions are relatively small. |
| Keywords: | entrepreneurship; regional development; CEE regions; |
| JEL: | L26 O18 |
| Date: | 2014–11 |
| URL: | http://d.repec.org/n?u=RePEc:wiw:wiwrsa:ersa14p1631&r=cse |
| By: | Dirk Assmann; Johannes Stiller |
| Abstract: | The aim of this paper is to develop a spatial model that explicitly incorporates the different types of knowledge spillovers taking place in cities and to show how they affect the migration decision of individuals and the size of cities. We use a static general equilibrium framework with two types of labor (highly and less educated) and two asymmetric locations: The city and the periphery, where only the city provides highly educated workers with the opportunity to exchange knowledge via face-to-face interactions. Our model incorporates two forms of knowledge spillovers happening in these meetings whose intensities are dependent on the similarity of knowledge background of the interacting individuals: First, the individual build-up of skills through the process of learning increases in the similarity of knowledge backgrounds. And second, innovative output generated in a meeting decreases in the similarity of knowledge backgrounds. This reflects the general sentiment that diversity stimulates the emergence of groundbreaking innovations. We see that highly educated workers only focus on the build-up of their personal skills when deciding about the range of individuals in the city they accept to be matched with, whereas innovative output is seen as a by-product of the process of learning. The interplay of agglomeration and dispersion forces determines the allocation of workers in the spatial equilibrium. Moving to the city gives them the chance to increase their personal effectiveness through the process of learning in face-to-face meetings. On the other hand there are two dispersion forces at work: First, the crowding effect in the regional housing and decreasing returns to scale to supplied work. However, the equilibrium allocation of workers across the two regions is socially inefficient. As mentioned above highly educated workers only focus on the build-up of personal skills since the increase in personal effectiveness is directly compensated by firms. A Social Planner however, would recognize that meetings between more diverse individuals in the city would have a positive impact on innovative output. This inefficient decision additionally implicates that agglomeration forces do not reach their optimal extent and create cities that are smaller than socially optimal. The intuition behind this result is simple. People move to the city to maximize their personal outcome, but do not take into account their impact on the emergence of innovations, that are available for everyone. We are the first to explicitly model the impact of different forms of knowledge spillovers on agglomeration forces. We believe that our model's insights on the microfoundations of different types of knowledge spillovers provide a valuable contribution to the understanding of empirical observations like the skill and urban wage premium, because it offers the possibility to look at the forces at work affecting the empirical findings. |
| Keywords: | Imitation; Innovation; Matching; Knowledge Spillovers; |
| JEL: | R12 J24 |
| Date: | 2014–11 |
| URL: | http://d.repec.org/n?u=RePEc:wiw:wiwrsa:ersa14p1101&r=cse |
| By: | Artur da Rosa Pires (University of Aveiro); Martina Pertoldi (European Commission – JRC - IPTS); John Edwards (European Commission – JRC - IPTS); Fatime Barbara Hegyi (European Commission – JRC - IPTS) |
| Abstract: | This Policy Brief has the twin aims of showing that Research and Innovation Strategies for Smart Specialisation (S3), despite their sectoral origins, provide a favourable and supportive framework for innovation in rural areas and, on the other hand, that there is a wide range of innovation activities in rural areas, often unmentioned in the innovation policy literature, which can strongly benefit from and reinforce the impact of the new generation of European Regional Policy. The paper discusses the most significant elements of S3 related to regional development in rural areas, presenting the main challenges and opportunities for knowledge-led development with reference to both the current policy and theoretical landscapes and some relevant emerging regional experiences. In particular, we investigate how the main novelties of S3 seem able to overcome the urban bias of past innovation policies, when the rural dimension of innovation has often been neglected, affecting its contribution to economic growth and regional development related to rural resources and actors. |
| Keywords: | Smart specialisation, rural innovation, regional development, cross-sectoral policy alignment. |
| Date: | 2014–11 |
| URL: | http://d.repec.org/n?u=RePEc:ipt:iptwpa:jrc90000&r=cse |
| By: | Vladimir Malov |
| Abstract: | The appearance in scientific life some new notions and terms adequate to them is a natural process. In the field of research laws and regularities of spacial economics more and more popular now is becoming the notion of regional or territorial cluster. It should be agreed with those researchers who suppose that it is not true to identify notions of regional cluster and TIC. Elements of market relationships, attention to labor resources, attention to the regiones with well-developed structure of economy with the evaluation of effect from innovations, and evaluation of TIC competitiveness are represented in "TIC ? object" and its corresponding models quite completely. Future researchers of regional clusters may pay their attention on the following actually distinctive and unique characteristics of this new object: 1- Scale of reorganization. For TIC ? large-scaled changes in spatial structure of regional and country economy. For cluster ? small- and medium-scaled but permanent changes in the already established economical relashionships; 2- Elements of innovation. For TIC the innovations are put in projects: forecast for 15-20 years can not based on old technologies. For clusters innovations themselves are the product and objective of their activity within all period of innovations' life. We can say that innovation is a "criterion" for future model of cluster; 3- Information environment. For "TIC ? object" as it is an entity created for solving tasks of national economy level, information is not "limited resource". For cluster the aspect of information between interfacing elements (firms, companies, organizations) should be important to ensure their competitiveness with the help of constant developing and introducing innovations to market; 4- Target missions. TIC is an efficient instrument in the area of realization of regional economic policy by the state. The detection of existing and/or prospective clusters should probably give a signal to companies for closer interacting and to regional authorities to promote such interaction. The notion of territorial industrial complex have not denied notion energy production cócle. TIC notion supplemented them with new characteristics whose importance was growing in time. Changes of social relationships and appearance of new tasks for spatial development absolutely require an adequate answer in conceptual and dictionary models. |
| Keywords: | Territorial industrial complexes; clusters; market relationships; regional economic policy; models |
| Date: | 2014–11 |
| URL: | http://d.repec.org/n?u=RePEc:wiw:wiwrsa:ersa14p180&r=cse |
| By: | Marcus Berliant; Masahisa Fujita |
| Abstract: | This paper presents a new framework for modeling the fine microstructure of knowledge creation dynamics. Our focus is on the creation of working nowledge used in innovation, for example, the knowledge used by a researcher in the economics profession. The framework has been developed to address the following questions: What is the appropriate way to model the operational structure of working knowledge? How are specific new ideas, research papers, and patents created by a research worker or a group of them, based on the current stock of knowledge? What roles do dynamics, heterogeneity of ideas, heterogeneity of researchers, and cities or regions play? Using our framework, first we study how a researcher creates a new literature, choosing new assumptions, models, implications, and observations in each step. Next, we examine how two researchers interact in creating new complete literatures together. Finally, we discuss how to extend the analysis to N-person case in multiple cities or regions. In the last NARSA meetings in Atlanta, we presented preliminary results on the same topic. In this paper, we report further advances on modeling the fine microstructure of knowledge creation dynamics. |
| Keywords: | knowledge creation; dynamics; cities; regions |
| Date: | 2014–11 |
| URL: | http://d.repec.org/n?u=RePEc:wiw:wiwrsa:ersa14p257&r=cse |
| By: | Max Nathan; Anna Rosso |
| Abstract: | Governments around the world want to develop their ICT and digital industries. Policymakers thus need a clear sense of the size and characteristics of digital businesses, but this is hard to do with conventional datasets and industry codes. This paper uses innovative 'big data' resources to perform an alternative analysis at company level, focusing on ICT-producing firms in the UK (which the UK government refers to as the 'information economy'). Exploiting a combination of public, observed and modelled variables, we develop a novel 'sector-product' approach and use text mining to provide further detail on the activities of key sector-product cells. On our preferred estimates, we find that counts of information economy firms are 42% larger than SIC-based estimates, with at least 70,000 more companies. We also find ICT employment shares over double the conventional estimates, although this result is more speculative. Our findings are robust to various scope, selection and sample construction challenges. We use our experiences to reflect on the broader pros and cons of frontier data use. |
| Keywords: | Quantitative methods, firm-level analysis, Big Data, text mining, ICTs, digital economy, industrial policy |
| JEL: | C81 L63 L86 O38 |
| Date: | 2014–12 |
| URL: | http://d.repec.org/n?u=RePEc:cep:cepops:44&r=cse |