Template-Type: ReDIF-Article 1.0 Author-Name: Athanasios Tsagkanos Author-X-Name-First: Athanasios Author-X-Name-Last: Tsagkanos Title: Minimisation of bias of Pearson correlation coefficient in presence of coincidental outliers Abstract: It is well known that sample correlation coefficient is a significant statistical measure of linear comovement between variables. However, the distortion that is caused by 'coincidental outliers' is fairly large. For this reason, we suggest an alternative robust measure of correlation that obtains the lowest bias. We formally call this measure the bootstrap-based correlation coefficient. We show analytically that our measure exhibits lower bias with respect to classical estimator. We compare its performance both across the classical estimator and across the robust measures of Kim et al. (2015) applying Monte Carlo simulations. The results verify the outperformance of the bootstrap-based correlation coefficient relatively to other measures, in presence of 'coincidental outliers'. Journal: Int. J. of Computational Economics and Econometrics Pages: 121-128 Issue: 1 Volume: 8 Year: 2018 Keywords: correlation coefficient; coincidental outliers; bias; bootstrap. File-URL: http://www.inderscience.com/link.php?id=88308 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijcome:v:8:y:2018:i:1:p:121-128 Template-Type: ReDIF-Article 1.0 Author-Name: Kenneth Barroga Author-X-Name-First: Kenneth Author-X-Name-Last: Barroga Author-Name: Agustina Tan-Cruz Author-X-Name-First: Agustina Author-X-Name-Last: Tan-Cruz Title: Energy consumption and gross domestic product in the Philippines: an application of maximum entropy bootstrap framework Abstract: We employ the maximum entropy bootstrap (MEB) framework to provide convincing evidence on the energy consumption (EC) and gross domestic product (GDP) nexus between 1975 and 2010 in the Philippines. We also perform a cointegration analysis and Granger causality test of the data to illustrate the advantages of MEB approach. This paper shows more accurate inference in comparison to conventional hypothesis tests based on asymptotic theory. Without employing MEB, the result of causality is very sensitive to a very small sample size and time period chosen that made the results inconsistent. Therefore, MEB framework is robust to time period chosen and even in a very small sample size. The analysis shows no evidence of a causal relationship between EC and GDP in the Philippines. The findings emphasise the fact that the Philippines is a less developed country and predominantly agrarian-based; thus, energy dependent. Journal: Int. J. of Computational Economics and Econometrics Pages: 1-17 Issue: 1 Volume: 8 Year: 2018 Keywords: bootstrap; cointegration; EC; energy consumption; GDP; granger causality; HDR; highest density region; MEB; maximum entropy bootstrap. File-URL: http://www.inderscience.com/link.php?id=88309 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijcome:v:8:y:2018:i:1:p:1-17 Template-Type: ReDIF-Article 1.0 Author-Name: Anthony N. Rezitis Author-X-Name-First: Anthony N. Author-X-Name-Last: Rezitis Author-Name: Dimitris N. Pachis Author-X-Name-First: Dimitris N. Author-X-Name-Last: Pachis Title: Price transmission along the Greek food supply chain in a dynamic panel framework: empirical evidence from the implementation of decoupling Abstract: This study investigates the price transmission mechanism between the producer and the consumer of the Greek food market while taking into consideration the decoupling policy scheme of the Common Agricultural Policy of the European Union. The empirical analysis uses the panel vector error correction model for the empirical investigation of the price mechanism. The dynamics of the price mechanism are evaluated in the short and long run with causality tests and impulse responses. The results show that the producer does not respond to long-run deviations from the equilibrium. Moreover, a shock in the producer or the consumer prices results in own disequilibrium effects that are quickly decayed and disequilibrium spillover effects from one price level to the other that take time to decay. Finally, the implementation of the decoupling scheme seems to have benefited the consumer more rather than the producer in mitigating his responses to own and cross-price shocks. Journal: Int. J. of Computational Economics and Econometrics Pages: 18-40 Issue: 1 Volume: 8 Year: 2018 Keywords: prices; panel VEC; asymmetries; decoupling; Greece. File-URL: http://www.inderscience.com/link.php?id=88310 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijcome:v:8:y:2018:i:1:p:18-40 Template-Type: ReDIF-Article 1.0 Author-Name: Giovanna Ferraro Author-X-Name-First: Giovanna Author-X-Name-Last: Ferraro Author-Name: Antonio Iovanella Author-X-Name-First: Antonio Author-X-Name-Last: Iovanella Title: Clairvoyant targeted attack on complex networks Abstract: Complex networks' resilience against attacks represents a crucial issue in terms of network structure integrity. We investigate the effect of removing nodes on the network diameter in the case of a simultaneous targeted attack and sequential targeted attack. The analysis has been implemented on several network instances, taking into account different centrality measures and clustering coefficients values. Empirical networks have also been observed to compare the effects of the two removal schemes. According to classical literature, we assume that the network attacker has a wide-ranging knowledge of the system. It can be defined as clairvoyant since it knows, a priori, of all the characteristics of the problem's instances. This awareness is not always applicable when real networks are characterised by a dynamic environment. Hence, we distinguish between clairvoyant and non-clairvoyant attacks. Journal: Int. J. of Computational Economics and Econometrics Pages: 41-62 Issue: 1 Volume: 8 Year: 2018 Keywords: complex networks; resilience; simultaneous targeted attack; sequential targeted attack. File-URL: http://www.inderscience.com/link.php?id=88314 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijcome:v:8:y:2018:i:1:p:41-62 Template-Type: ReDIF-Article 1.0 Author-Name: Martin Kameník Author-X-Name-First: Martin Author-X-Name-Last: Kameník Author-Name: Anna Ruščáková Author-X-Name-First: Anna Author-X-Name-Last: Ruščáková Author-Name: Jozefína Semančíková Author-X-Name-First: Jozefína Author-X-Name-Last: Semančíková Title: Fiscal multipliers and macroeconomic performance in the case of Slovakia and Hungary Abstract: The aim of the paper is to estimate and assess the impact of fiscal policy shocks on gross domestic product (GDP) in Slovakia and Hungary as the EU and V4 members and to compare the results of how fiscal policy affects the economy with euro compared with the economy with its own currency. The paper is based on the vector autoregressive (VAR) model to compare the impacts of fiscal shocks in government expenditure and government revenues on real Slovak and Hungarian economy and identify possible differences. Government expenditure shock has a short-term positive effect on Slovak and Hungarian GDP, too. Also, the response of GDP to a single shock in government revenues has an immediate negative impact in Hungary in contrast to Slovakia with the positive response at the beginning. Moreover, the findings support that government expenditure has more significant impact on GDP than in the case of government revenues. Journal: Int. J. of Computational Economics and Econometrics Pages: 79-94 Issue: 1 Volume: 8 Year: 2018 Keywords: fiscal policy; fiscal multipliers; VAR; vector autoregressive; GDP; gross domestic product; government expenditure; government revenues; single shock; EU; V4; Slovakia; Hungary. File-URL: http://www.inderscience.com/link.php?id=88320 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijcome:v:8:y:2018:i:1:p:79-94 Template-Type: ReDIF-Article 1.0 Author-Name: Mehmet Mehmetoglu Author-X-Name-First: Mehmet Author-X-Name-Last: Mehmetoglu Title: medsem: a Stata package for statistical mediation analysis Abstract: The Stata package medsem provides a post-estimation command testing mediational hypotheses using Baron and Kenny's (1986) approach modified by Iacobucci et al. (2007) as well as an alternative approach proposed by Zhao et al. (2010) after estimating the concerned mediational model with the built-in sem command of Stata. The primary benefit of medsem is that it can contribute to conducting a proper and complete mediational analysis based on even very complex models (including observed and/or latent variables and with multiple mediators) due to the simultaneous estimation capability of structural equation modelling (SEM) technique. Journal: Int. J. of Computational Economics and Econometrics Pages: 63-78 Issue: 1 Volume: 8 Year: 2018 Keywords: Stata; mediation; indirect effects; Sobel; Baron and Kenny. File-URL: http://www.inderscience.com/link.php?id=88321 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijcome:v:8:y:2018:i:1:p:63-78 Template-Type: ReDIF-Article 1.0 Author-Name: Selçuk Bayraci Author-X-Name-First: Selçuk Author-X-Name-Last: Bayraci Title: Testing for multi-fractality and efficiency in selected sovereign bond markets: a multi-fractal detrended moving average (MF-DMA) analysis Abstract: This study examines the multifractality and relative efficiency in sovereign bond markets, using the multifractal detrended moving average (MF-DMA) approach to quantify the degree of multifractality in the international sovereign bond yields. We use the daily values of the 2-year maturity government bond yields for 12 countries between 2003 and 2014 for empirical analysis. Our results document that all bond markets show multifractal characteristics in various levels. High degree of multifractality is seen in the Spanish, Portuguese and Italian bond markets while low multifractality features belong to the Canadian and the US bond market. The source of multifractality is mainly due to the structure of the bond markets where the recent Eurozone debt crisis has manifested itself as extreme observations. Journal: Int. J. of Computational Economics and Econometrics Pages: 95-120 Issue: 1 Volume: 8 Year: 2018 Keywords: sovereign bond markets; relative efficiency; multifractality. File-URL: http://www.inderscience.com/link.php?id=88324 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijcome:v:8:y:2018:i:1:p:95-120 Template-Type: ReDIF-Article 1.0 Author-Name: Mauro Bernardi Author-X-Name-First: Mauro Author-X-Name-Last: Bernardi Author-Name: Leopoldo Catania Author-X-Name-First: Leopoldo Author-X-Name-Last: Catania Title: The model confidence set package for R Abstract: This paper presents the R package MCS which implements the model confidence set (MCS) procedure for model comparison. The MCS procedure consists on a sequence of tests which permits to build a set of 'superior' models, where the null hypothesis of equal predictive ability (EPA) is not rejected at a certain confidence level. The EPA statistic test is calculated for an arbitrary loss function, meaning that we could test models on various aspects, such as for example, punctual forecasts and density evaluation. The relevance of the package is shown using an example which aims at illustrating in details the use of the provided functions. The example compares the ability of different models belonging to the generalised autoregressive conditional heteroscedasticity (GARCH) family to predict large financial losses. Codes for reproducibility purposes are also reported. Journal: Int. J. of Computational Economics and Econometrics Pages: 144-158 Issue: 2 Volume: 8 Year: 2018 Keywords: MCS; model confidence set; model choice; R; VaR; value-at-risk. File-URL: http://www.inderscience.com/link.php?id=91037 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijcome:v:8:y:2018:i:2:p:144-158 Template-Type: ReDIF-Article 1.0 Author-Name: Marco Ventura Author-X-Name-First: Marco Author-X-Name-Last: Ventura Title: Testing the validity of instruments in an exactly identified equation Abstract: Whenever the number of instruments equals the number of endogenous variables testing the validity of the instruments is not a feasible task. Based on recent econometric developments (Lewbel, 2012), this paper aims at spreading among applied economists and econometricians an empirical strategy to overcome this setback, thus sidestepping the exact identification problem. Journal: Int. J. of Computational Economics and Econometrics Pages: 159-169 Issue: 2 Volume: 8 Year: 2018 Keywords: instrumental variables; exact identification; over identifying test; Hansen-Sargan test; endogeneity. File-URL: http://www.inderscience.com/link.php?id=91038 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijcome:v:8:y:2018:i:2:p:159-169 Template-Type: ReDIF-Article 1.0 Author-Name: George G. Djolov Author-X-Name-First: George G. Author-X-Name-Last: Djolov Title: Revisiting Kelly's version of the Herfindahl-Hirschman index Abstract: This communication looks at Kelly's proposed formulation of the Herfindahl-Hirschman index (HHI), which has received some attention in the economic and management fields as a promising method to improve the measurement of market concentration by supposedly taking the skewness of market shares into account in the course of the index's computation. It is found that this is not the case, and suggestions are made as to how the formulation could be aligned to its intended aim as originally proposed. Journal: Int. J. of Computational Economics and Econometrics Pages: 170-182 Issue: 2 Volume: 8 Year: 2018 Keywords: HHI; Herfindahl-Hirschman index; relative variability. File-URL: http://www.inderscience.com/link.php?id=91039 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijcome:v:8:y:2018:i:2:p:170-182 Template-Type: ReDIF-Article 1.0 Author-Name: Moses Muse Sichei Author-X-Name-First: Moses Muse Author-X-Name-Last: Sichei Title: Designing Kenya's 'first generation' revenue allocation among counties formula with imperfect data: an application of response surface methodology Abstract: This paper investigates the design of Kenya's 'first generation' formula for sharing of revenue among 47 counties in the face of imperfect data and highly politicised issue of historical injustices in the past fiscal dispensation of a centralised system of government. We show that with limited quality data at subnational level, an innovative loss function in a response surface methodology offers an appropriate platform to generate initial weights of fiscal need factors that not only ensure redistributive justice and equity but are also perceived to be objective and fair by different political interest groups. Journal: Int. J. of Computational Economics and Econometrics Pages: 183-206 Issue: 2 Volume: 8 Year: 2018 Keywords: revenue allocation formula; fiscal decentralisation; intergovernmental fiscal transfer system; response surface methodology; RSM; county governments; simulation; Kenya. File-URL: http://www.inderscience.com/link.php?id=91040 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijcome:v:8:y:2018:i:2:p:183-206 Template-Type: ReDIF-Article 1.0 Author-Name: Chandrima Sikdar Author-X-Name-First: Chandrima Author-X-Name-Last: Sikdar Author-Name: Kakali Mukhopadhyay Author-X-Name-First: Kakali Author-X-Name-Last: Mukhopadhyay Title: Assessment of R%D and its impact on Indian manufacturing industries Abstract: An important source of productivity growth, technological change and hence increased welfare of a country is Research and Development (R%D). Thus, it is absolutely important to develop a country's R%D sector. However, developing countries have traditionally relied largely on import of technologies from developed countries, rather than domestic R%D for driving their technological change. India too has been no exception. But, like any other developing country, India too needs to make continuous investment either to adopt foreign technology or to develop its own capacities via R%D activities. Presently, India's R%D expenditure is merely 2.1% of total global expenditure. Against this backdrop, the present study computes elasticity of industry-level TPF with respect to R%D content of intermediates, both domestic and foreign, for industries in India. The results show that R%D stocks embodied in intermediates have contributed to productivity growth in these industries. Particularly, noteworthy is this elasticity for low-R%D industries, like, processed food, textile and wearing apparels, motor vehicles etc. Journal: Int. J. of Computational Economics and Econometrics Pages: 207-228 Issue: 2 Volume: 8 Year: 2018 Keywords: domestic R%D; foreign R%D; international integration; TPF; total factor productivity; India; industry; input-output; intermediate inputs. File-URL: http://www.inderscience.com/link.php?id=91042 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijcome:v:8:y:2018:i:2:p:207-228 Template-Type: ReDIF-Article 1.0 Author-Name: Graeme J. Doole Author-X-Name-First: Graeme J. Author-X-Name-Last: Doole Title: A robust generalised maximum entropy estimator for ill-posed estimation problems Abstract: The generalised maximum entropy (GME) estimator provides a flexible means of information recovery from ill-posed estimation problems. However, coefficient estimates are sensitive to the exogenous support bounds defined for coefficient and error terms. This paper describes a new estimator that identifies informative support bounds, prior to the implementation of GME regression. These bounds are estimated using interval-valued mathematical programming in a way that is data-based, replicable, and robust. The superiority of the new estimator over various alternatives is demonstrated with a series of non-trivial Monte Carlo simulations involving different degrees of multicollinearity, sample sizes, and error structures. Journal: Int. J. of Computational Economics and Econometrics Pages: 129-143 Issue: 2 Volume: 8 Year: 2018 Keywords: maximum entropy; support bounds; ill-posed problems; multicollinearity; low sample size; interval-valued optimisation. File-URL: http://www.inderscience.com/link.php?id=91044 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijcome:v:8:y:2018:i:2:p:129-143 Template-Type: ReDIF-Article 1.0 Author-Name: Ben Vermeulen Author-X-Name-First: Ben Author-X-Name-Last: Vermeulen Title: Geographical dynamics of knowledge flows: descriptive statistics on inventor network distance and patent citation graphs in the pharmaceutical industry Abstract: In the knowledge-based geography of innovation literature, there are two opposing claims on the spatio-temporal pattern in knowledge flows over a technological trajectory. Firstly, after the breakthrough, externalities stimulate agglomeration of specialised firms and thus cause incremental inventions to take place progressively localised. Secondly, after the breakthrough, progressive codification and technological crystallisation facilitates collaboration over greater distances. In this study, forward citation graphs of breakthrough patents are constructed and enriched with locations of inventors. Using these citation graphs, we study claims on co-inventor distances and distances of groups of inventors across citations. We find support for existing claims and alternative spatio-temporal patterns. Notably that, early on in trajectories, inventors generally collaborate mostly locally, yet cite knowledge sources found more remotely. Later on, inventors collaborate over greater distances, yet cite more local sources. Conclusively, there is progressive globalisation of inventor networks, whereby inventors increasingly use local sources in follow-up inventions. Journal: Int. J. of Computational Economics and Econometrics Pages: 301-324 Issue: 3/4 Volume: 8 Year: 2018 Keywords: inventor network; forward citation graph; patent analysis; geographical dynamics; spatial analysis; knowledge-based; geography of innovation; descriptive statistics. File-URL: http://www.inderscience.com/link.php?id=96357 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijcome:v:8:y:2018:i:3/4:p:301-324 Template-Type: ReDIF-Article 1.0 Author-Name: Uwe Cantner Author-X-Name-First: Uwe Author-X-Name-Last: Cantner Author-Name: Alexander Giebler Author-X-Name-First: Alexander Author-X-Name-Last: Giebler Author-Name: Jutta Günther Author-X-Name-First: Jutta Author-X-Name-Last: Günther Author-Name: Maria Kristalova Author-X-Name-First: Maria Author-X-Name-Last: Kristalova Author-Name: Andreas Meder Author-X-Name-First: Andreas Author-X-Name-Last: Meder Title: Innovation cooperation in East and West Germany: a study on the regional and technological impact Abstract: In this paper, we investigate the impact of regional and technological innovation systems on innovation cooperation. We develop an indicator applicable to regions, which demonstrates the relative regional impact on innovation cooperation. Applying this method to German patent data, we find that regional differences in the degree of innovation cooperation do not only depend on the technology structure of a region but also on specific regional effects. High-tech oriented regions, whether east or west, are not automatically highly cooperative regions. East German regions have experienced a dynamic development of innovation cooperation since re-unification in 1990. Their cooperation intensity remains higher than in West German regions. Journal: Int. J. of Computational Economics and Econometrics Pages: 242-279 Issue: 3/4 Volume: 8 Year: 2018 Keywords: regional innovation system; technological innovation system; innovation cooperation; Germany. File-URL: http://www.inderscience.com/link.php?id=96360 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijcome:v:8:y:2018:i:3/4:p:242-279 Template-Type: ReDIF-Article 1.0 Author-Name: Kristina Bogner Author-X-Name-First: Kristina Author-X-Name-Last: Bogner Author-Name: Matthias Müller Author-X-Name-First: Matthias Author-X-Name-Last: Müller Author-Name: Michael P. Schlaile Author-X-Name-First: Michael P. Author-X-Name-Last: Schlaile Title: Knowledge diffusion in formal networks: the roles of degree distribution and cognitive distance Abstract: Social networks provide a natural infrastructure for knowledge creation and exchange. In this paper, we study the effects of a skewed degree distribution within formal networks on knowledge exchange and diffusion processes. To investigate how the structure of networks affects diffusion performance, we use an agent-based simulation model of four theoretical networks as well as an empirical network. Our results indicate an interesting effect: neither path length nor clustering coefficient is the decisive factor determining diffusion performance but the skewness of the link distribution is. Building on the concept of cognitive distance, our model shows that even in networks where knowledge can diffuse freely, poorly connected nodes are excluded from joint learning in networks. Journal: Int. J. of Computational Economics and Econometrics Pages: 388-407 Issue: 3/4 Volume: 8 Year: 2018 Keywords: agent-based simulation; cognitive distance; degree distribution; direct project funding; Foerderkatalog; German energy sector; innovation networks; knowledge diffusion; publicly funded R%D projects; random networks; scale-free networks; simulation of empirical networks; skewness; small-world networks. File-URL: http://www.inderscience.com/link.php?id=96365 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijcome:v:8:y:2018:i:3/4:p:388-407 Template-Type: ReDIF-Article 1.0 Author-Name: Robert De Caux Author-X-Name-First: Robert De Author-X-Name-Last: Caux Author-Name: Frank McGroarty Author-X-Name-First: Frank Author-X-Name-Last: McGroarty Author-Name: Markus Brede Author-X-Name-First: Markus Author-X-Name-Last: Brede Title: Growth and collapse: an agent-based banking model of endogenous leverage cycles and financial contagion Abstract: We create an agent-based banking model that allows the simulation of leverage cycles and financial contagion. Banks adapt their investment strategies in an evolutionary manner according to the success of their competitors, creating an endogenous loan network and a dynamic asset market. This system exhibits periods of slow risk growth and fast insolvency cascades. We show how the susceptibility of banks to insolvency and contagion over the long term depends on asset price volatility, as well as demonstrating an interdependency between asset and liability-side contagion channels. Our model provides a suitable framework for performing further policy tests. Journal: Int. J. of Computational Economics and Econometrics Pages: 370-387 Issue: 3/4 Volume: 8 Year: 2018 Keywords: financial contagion; agent-based model; bank insolvency; evolutionary game theory; simulation; networks. File-URL: http://www.inderscience.com/link.php?id=96376 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijcome:v:8:y:2018:i:3/4:p:370-387 Template-Type: ReDIF-Article 1.0 Author-Name: Michael Rothgang Author-X-Name-First: Michael Author-X-Name-Last: Rothgang Author-Name: Bernhard Lageman Author-X-Name-First: Bernhard Author-X-Name-Last: Lageman Title: Structural characteristics of knowledge exchange in innovation networks Abstract: While there is a large pool of assured knowledge about various general dimensions of the structure and dynamics of innovation networks, several basic structural features deserve more attention in future research on network effects. Our contribution concentrates on three key structural characteristics: i) the type of actors; ii) contexts and (inter-) organisational environments of networks; iii) modes and contents of knowledge exchange. We discuss the role of these structural characteristics by using research material from an accompanying evaluation of the German 'Leading-Edge Clusters Competition'. Major results are: Innovation network actors are rather heterogeneous entities, stretching from highly complex organisations to single individuals. Networks are embedded in different sectoral, organisational and situational contexts. In many cases, even defining the boundaries of the relevant network is a challenge for innovation researchers. Knowledge exchange flows through different channels, and can be seen as a context-dependent combination of formal and tacit elements. Journal: Int. J. of Computational Economics and Econometrics Pages: 280-300 Issue: 3/4 Volume: 8 Year: 2018 Keywords: innovation networks; knowledge exchange; cluster organisation; cluster policy; cluster initiative; network actors; leading-edge clusters competition. File-URL: http://www.inderscience.com/link.php?id=96382 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijcome:v:8:y:2018:i:3/4:p:280-300 Template-Type: ReDIF-Article 1.0 Author-Name: Daniel Hain Author-X-Name-First: Daniel Author-X-Name-Last: Hain Author-Name: Tobias Buchmann Author-X-Name-First: Tobias Author-X-Name-Last: Buchmann Author-Name: Muhamed Kudic Author-X-Name-First: Muhamed Author-X-Name-Last: Kudic Author-Name: Matthias Müller Author-X-Name-First: Matthias Author-X-Name-Last: Müller Title: Endogenous dynamics of innovation networks in the German automotive industry: analysing structural network evolution using a stochastic actor-oriented approach Abstract: The generation of innovation is well known to be a social process depending on mutual interactions, aiming at accessing and exchanging knowledge in order to generate novel goods and services. Accordingly, interest in interfirm innovation networks has increased sharply over the last decade. Preceding research indicates that the structural dynamics of networks is driven both by endogenous and exogenous forces. In particular, we focus on the role of the endogenous determinants of the network evolution of interfirm networks - a category of often underestimated forces. We employ a longitudinal dataset that comprises German automotive firms' performance between 2002 and 2006 and apply a stochastic actor-oriented model (SAOM) designed to analyse both the endogenous and exogenous determinants of network change. Our results show that endogenous determinants - approximated by measures for local and global clustering - exhibit greater explanatory power than exogenous firm characteristics such as age, size, and R%D activity. Journal: Int. J. of Computational Economics and Econometrics Pages: 325-344 Issue: 3/4 Volume: 8 Year: 2018 Keywords: network evolution; network endogeneity; innovation networks; automotive industry; stochastic actor-oriented approach. File-URL: http://www.inderscience.com/link.php?id=96392 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijcome:v:8:y:2018:i:3/4:p:325-344 Template-Type: ReDIF-Article 1.0 Author-Name: André Schaffrin Author-X-Name-First: André Author-X-Name-Last: Schaffrin Author-Name: Tanja Nietgen Author-X-Name-First: Tanja Author-X-Name-Last: Nietgen Author-Name: Benjamin Schrempf Author-X-Name-First: Benjamin Author-X-Name-Last: Schrempf Title: How to find a needle in a haystack?: a theory-driven approach to social network analysis of regional energy transitions Abstract: Social network analysis bears great potential for the study of complex social transition processes such as regional energy transitions. The complexity of the social processes results from a lack of empirical research, that utilises social network analysis. With this complexity come the difficulties in collecting relevant and sufficient empirical data. In this paper, we propose conceptual framework to select relevant cases, interviewees, and influencing factors for the empirical analysis of complex network dynamics. We base our conceptualisation on mainstream literature on socio-technical levels, phase-models of innovation processes, and social, economic, and political factors influencing the regional energy transition. We apply the case of a local and regional energy transition in a German county. We argue that the conceptual framework serves as a guiding system to a more thorough analysis of social network dynamics within complex social transition processes. It allows formulating hypotheses about different pathways and network dynamics. Journal: Int. J. of Computational Economics and Econometrics Pages: 345-369 Issue: 3/4 Volume: 8 Year: 2018 Keywords: energy transition; network dynamics; socio-technical multilevel perspective; empirical data collection. File-URL: http://www.inderscience.com/link.php?id=96401 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijcome:v:8:y:2018:i:3/4:p:345-369