PFIs involving multiple public partners: a case study from the Italian healthcare sector

The financial crisis experienced by many countries since 2008 has given new importance to private finance initiatives (PFIs) for providing public services. This paper analyses the relationships between multiple public and private sector actors participating in a PFI in the healthcare sector in order to better understand the motives and behaviour of public and private sector partners. High levels of trust and the active participation of a regulatory body were found to be significant factors in terms of creating a partnership that benefits all sides.     

MONETARY AND FISCAL POLICIES INTERACTION IN MONETARY UNIONS

In this paper, the literature on the interaction between monetary and fiscal policies in a monetary union is surveyed. By adopting the concept of symbiosis as a starting point, the paper highlights the importance of uncertainty, policy makers' preferences and targets. Then, the role of commitment to policy rules and coordination is addressed. The analysis also focuses on the importance of the data considered for the generation of the policy mix. As a final step, the paper discusses the main results in the literature on public debt management in a monetary union. All the reported theoretical results are then adopted to retrieve policy and institutional implications for the European Monetary Union.     

Designing business models in circular economy: A systematic literature review and research agenda

The concept of circular economy is increasingly receiving attention in different domains, including strategic management, operations management, and technology management. It requires companies to design their business model (i.e., the value network, the relationships with the supply chain partners, and the value propositions towards customers) around a new concept of sustainable development that reduces consumption of natural resources and preserves the environment. However, extant research falls short in terms of explaining how companies design their business model according to the circular economy principles. Starting from this premise, the present paper provides a systematic review of the literature on the design of business models in the context of circular economy, aiming to offer an overview of the state of research and outline a promising research agenda.     

Optimal Licensing Policy under Vertical Product Differentiation

This paper explores a vertical product differentiation model with a licensing arrangement between a multinational firm with superior technology and a domestic firm with obsolete technology. We find that a subsidy provided by the domestic country's government to the domestic firm to assist with the licensing arrangement is welfare enhancing for the domestic country. Furthermore, both the multinational firm and the domestic country are better off under royalty than under fixed fee licensing. These findings stand in contrast to earlier results in the literature.     

From economic decline to the current crisis in Italy

The objective of this paper is to show that the current global economic crisis, into which Italy also fell in 2008, represents just the last step of a long declining path for the Italian economy which began in the 1990s, or to be more precise in 1992 and 1993. It is argued that the reasons that explain the long Italian decline, and partly also the deeper recession today, as well as the lack of recovery from the current crisis, can be found in the past reforms of the labour market. In particular, the labour flexibility introduced in the last 15 years had, along with other policies introduced in parallel, cumulative negative consequences on the inequality, on the consumption, on the aggregate demand, on the labour productivity and on the GDP dynamics.     

Merging for Capacity and a Capacity for Merging: Politicians,Citizens, and Discourses in Public Administrations

It is assumed in many countries that the merger of municipalities can increase the capacity of their public administrations. This paper concentrates primarily on the activities preceding the implementation of the merger, by analyzing the ex‐ante stages of the process. Using a case study, the paper analyzes the activities used to explain the merger initiative to citizens and to overcome any potential resistance. The analysis is developed using the Foucauldian concepts of discourse and technology of the self. The aim is to explain the way human resources can and should be managed during the implementation of a capacity‐building initiative.     

An urn-based Bayesian block bootstrap

Block bootstrap has been introduced in the literature for resampling dependent data, i.e. stationary processes. One of the main assumptions in block bootstrapping is that the blocks of observations are exchangeable, i.e. their joint distribution is immune to permutations. In this paper we propose a new Bayesian approach to block bootstrapping, starting from the construction of exchangeable blocks. Our sampling mechanism is based on a particular class of reinforced urn processes.     

Technology Transfer,Quality Standards,and North–South Trade

This paper examines the economic consequences of technology transfer through licensing in a North–South model of vertical product differentiation, based on a product‐line pricing framework. With its limited technological expertise, the southern firm cannot export to the northern market without purchasing the northern firm's “clean” and low‐cost technology. With North–South cost‐asymmetry, we conclude that the transfer of technology through licensing promotes trade, product variety and improves global welfare. However, without government intervention, the private levels of product quality chosen by firms tend to be lower than the socially optimal levels. This finding helps to explain why developed countries often set quality standards for imported foreign products.     

Big data in smart tourism: challenges,issues and opportunities

In the era of digital transformation, Big Data have assumed a crucial role in changing the global travel and providing significant challenges and opportunities for established companies, as well as new entrants into the tourism industry. All these companies can get valuable information on Big Data for predicting tourist demand, enabling better decision-making, managing knowledge flows and interaction with customers, and providing the best service in a more efficient and effective way. This can result in improved productivity, increased customer satisfaction, personalized marketing campaigns, and more efficient operations. However, open research issues about the role of Big Data in the tourism industry can be still recognized. With these premises, this Editorial aims to present the articles included in the special issue of Current Issues in Tourism titled ‘Big data in smart tourism: challenges, issues and opportunities’, which has called for research contributing to the recent debates on the implications and challenges of the adoption of Big Data to improve the competitiveness of tourism destinations and companies. Main topics considered by the accepted articles include a literature review proposing a novel theoretical investigative frameworks, metrics and critical dimensions, and empirical investigations of the use of Big Data in different tourism contexts.     

Optimal farm size in an uncertain land market: the case of Kyrgyz Republic

This article applies a real options model to the problem of land development. Making use of the 1998–2001 Kyrgyz Household Budget Survey, we show that when the hypothesis of decreasing return to scale holds, the relation between the threshold value of revenue per hectare and the amount of land cultivated is positive. In addition, the relation between the threshold and the amount of land owned is positive in the case of continuous supply of land and negative when there is discontinuous supply of land. The direct consequence is that, in the first case, smaller farms will be more willing to rent land and exercise the option where, in the second case, larger farms will exercise first. The results suggest three main conclusions: (i) the combination of uncertainty and irreversibility is an important factor in land development decisions, (ii) farmer behavior is consistent with the continuous profit maximization model, and (iii) farming unit revenue tends to be positively related to farm size, once uncertainty is properly accounted for.