Mass privatization offers a particularly suitable framework to study the change in ownership concentration as the extent of change is unusual for a stable market economy. Focusing on two different mass privatization schemes in two transition economies, Poland and the Czech Republic, we find that...

In this paper, we use a unique hand-collected dataset to analyze stock listing as an entrepreneurial decision. By comparing mainland Chinese entrepreneurial firmslisted in Hong Kong with the same type of firms opting for a domestic listing on the Shenzhen second board market, we argue that the...

In order to face the new competitive scenario, Apulian textile firms are involved in a process of change and are trying to adopt a networking approach in analysing the international propensity of SMEs. The case of the textile network in Apulia has been analysed using a semi-structured...

We study the driving forces behind the adoption of environmental innovations (EI) in the Italian industry over 2006-2008 through analyses of the new wave of Community Innovation Survey (CIS) data that covered for the first time environmental innovation adoptions. We investigate whether the first...

This paper examines the effects of management practices on effective tax rates (ETR) in a sample of medium and large manufacturing firms in Ecuador. We use a novel data set on management practice scores matched with administrative tax data from the Superintendence of Companies and the Internal...

This paper has made an attempt to identify the role of lead firms in mapping the activities related to upgrading. Upgrading refers to the process through which firms may move up the value chain. The literature identifies different types of upgrading such as product, process, functional and...

This paper investigates spatial dependence of FDI knowledge spillovers in manufacturing and services using spatial panel techniques applied to the 2006-2014 Bureau Van Dijk's Amadeus firm-level dataset for Croatia and Slovenia. The paper finds diverse results across the two sectors. The distance...

We study the relationship between the risk of default and Environmental, Social and Governance (ESG) factors using Supervised Machine Learning (SML) techniques on a crosssection of European listed companies. Our proxy for credit risk is the z-score originally proposed by Altman (1968). We...