We introduce a new dynamic clustering method for multivariate panel data char- acterized by time-variation in cluster locations and shapes, cluster compositions, and, possibly, the number of clusters. To avoid overly frequent cluster switching (flickering), we extend standard cross-sectional...

Cities are key places of economic activity, as they produce an enormous amount of wealth compared to the land they cover. Their study is, therefore, of primary importance in understanding the success of nations. Given the many interactions among people that happen within them, cities are well...

The effectiveness of the unification of enterprises in the cluster is also associated with high uncertainty and risks. Thus, the development of theoretical approaches and methodological instruments for efficient risk management of enterprises under the conditions of cluster association is an...

The study investigates the impact of fiscal incentives on the tax compliance behaviour of firms in industrial clusters in Nigeria. Data from 800 firms drawn from three industrial clusters in SouthEast Nigeria were collected using a structured questionnaire through a multi-stage sampling...

We apply a functional data approach for mixture model-based multivariate innovation clustering to identify different regional innovation portfolios in Europe, considering patterns of specialization among innovation types. We combine patent registration data and other innovation and economic data...

The conventional wisdom has maintained that being in proximity to entrepreneurial ecosystems helps startups to raise financing, develop and grow. In this paper, we examine the effect of a major component of an entrepreneurial ecosystem-financial or venture capital clusters on the exit of a...

In linear regression analysis, the estimator of the variance of the estimator of the regression coefficients should take into account the clustered nature of the data, if present, since using the standard textbook formula will in that case lead to a severe downward bias in the standard errors....

This paper follows an algorithm that considers different dimensions of linkages across service and manufacturing industries to identify a cluster configuration of the Mexican economy and analyze their role in the economic performance of regions. It identifies 24 clusters and analyzes their...

Growing spatial inequality has led policymakers to enact tax breaks to attract corporate investment and jobs to economically peripheral regions. We demonstrate the importance of multi-plant firms’ physical capital structure for the efficacy of place-based policies by studying a bonus...

This short paper explores the intra-organizational business model implications of organizations as they enter different inter-organizational collaborations, as exemplified by clusters, networks, and ecosystems. The aim is to show, conceptually, how organizations must consider the degree of...

This paper empirically assesses energy efficiency (EE) adoption among firms by examining the factors that drive investment in energy efficiency in the Onitsha plastic cluster, South-East, Nigeria. Self-administered questionnaires were delivered to the selected enterprises. A total of 450...

We analyze the effects of a large place-based policy, subsidizing up to 50% of the investment costs of manufacturing firms in East Germany. We show that a one-percentage-point decrease in the subsidy rate leads to a 1% decrease in manufacturing employment. We document important local spillovers...

In the context of China's knowledge economy, cluster-based technological innovation can promote the communication of knowledge among industries, advancing the industrial structure. This study constructs the Ricardian model with the differences in productivity between different sectors to explore...