Global value chains (GVCs) are among the critical factors shaping the world economy nowadays. Within cross-border production networks an increasingly important role has been played by the information and communication technology (ICT) sectors. Based on the multi-country input-output database...

This paper analyzes the early development of new establishments evaluating the role of spatial selection and agglomeration. The analysis shows a clear and strong selection of more productive new establishments into larger regions, regardless of the foundation type. While at the end of the...

Modern cluster theory provides reasons for positive external effects that accrue from the interaction of spatially proximate firms operating in common and related fields of economic activity. In this paper, we examine the impact of R&D-intensive clusters as a key factor of regional...

Background: Industry clusters and their relationship with the organization's success, competitive advantage and innovations have been gaining research interest for decades, with the recent focus on defence industry. Objectives: The aim is to investigate how Croatian Defense Industry...

Human resources are a key factor for firm success, particularly nowadays when most industrial economies face an increasing shortage of qualified labour. With their pooled labour markets, regional clusters have been shown to be a preferable location for firms in order to satisfy their demand for...

This paper presents evidence on the spatial distribution and effects of urban agglomeration on firm innovation. It uses a unique dataset that consistently defines city boundaries and identifies firms' innovation-related activities across 25 developing countries in Asia. We find firm innovation...

Agglomeration theory supports and existing findings confirm the geographical proximity of similar firms and spatial attraction of firms to universities. In addition to that, we are able to identify whether universities as one type of innovative units are attracted by firm-type innovators and the...

Financial volatility obeys two fascinating empirical regularities that apply to various assets, on various markets, and on various time scales: it is fat-tailed (more precisely power-law distributed) and it tends to be clustered in time. Many interesting models have been proposed to account for...

This paper aims at investigating the role of makers in open innovation networks by focusing on whether and how knowledge leaks occur in open innovation networks with makers. In the last years, makers have been widely recognized as conducive to innovation and growth in different fields through a...

Despite inter-clustering being an important specific form of inter-organizational network, it has rarely been investigated. So, from an inter-organizational network perspective, this study aims to deepen knowledge about inter-cluster relationships as a way to share knowledge and learning in six...

In this paper, a nonlinear model is proposed for improving the relationship between the size of a cluster and the variance within the cluster. This model describes the most appropriate functional relation between the within-cluster variance and the cluster size. Through this model, we can obtain...

In the 21st century clusters can be observed in most developed economies. However, the scientific results regarding the effect of clusters on firm performance are highly contradictive. This inconsistency in the empirical results makes it difficult to infer general conclusions about the...

Does economic development have an unavoidable ecological cost? We examine the ecological impacts of one of India's signature place-based economic policies involving massive tax benefits for new industrial and infrastructure development following the creation of the new state of Uttarakhand. The...

Durch staatliche Clusterpolitik wird die Forschung- und Entwicklung (FuE) von privatwirtschaftlichen Unternehmen und öffentlichen Institutionen gefördert, wenn lokale Kooperationspotentiale nicht genutzt werden und geringe FuE-Ausgaben die Folge sind. Durch optimale Ressourcenallokation soll...

We propose a dynamic clustering model for studying time-varying group structures in multivariate panel data. The model is dynamic in three ways: First, the cluster means and covariance matrices are time-varying to track gradual changes in cluster characteristics over time. Second, the units of...

The fourth industrial revolution (Industry 4.0) transformed global value chains by transforming them into adaptive networks of enterprises. To remain competitive, companies need to integrate themselves into these networks, which require increased flexibility in terms of reorganizing business...

In this paper, the relationship between high-speed rail (HSR) and agglomeration economy in the scope of specialization and diversity is investigated. The main objective is to answer two questions: first, to determine whether specialization or diversity promotes economic productivity, and second,...

This paper is one of the first attempts to utilize the theoretical framework of the new economic geography for explaining agricultural land prices. We adopt a model proposed by Pflüger and Tabuchi (2010), which allows to consider land as a production factor. We derive a short-run equilibrium...

Territory design and analysis using geographical loss cost are a key aspect in auto insurance rate regulation. The major objective of this work is to study the design of geographical rating territories by maximizing the within-group homogeneity, as well as maximizing the among-group...