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Public value and public sector accounting research:a structured literature review Purpose The paper investigates the role and impact of accounting within the fragmented field of public value theory literature.Design/methodology/approach The work develops a structured literature review and seeks to shed light on the state of public value research, with particular emphasis on the role of accounting scholarship.Findings The lack of empirical research and the limited number of papers on accounting for the creation of public value means that accounting scholars need to address theoretical stagnation to achieve a deeper understanding of how to govern the public value creation process.Originality/value The paper develops the first wide-ranging structured literature review on public value accounting. It is a starting point to develop new research avenues, both in the fields of accountability/external reporting, and management accounting and performance management.

This paper offers a methodological contribution to the empirical analysis of the relationship between banking and economic growth by suggesting a new indicator for the state of development of the banking system based on a measure of bank microeconomic efficiency. This choice helps to overcome the problem of causality and to capture the effects of banks' activity on growth. This new approach is then applied to analyse the relationship between the banking system and economic growth in the Italian regions, through a dynamic panel technique. The empirical results show the existence of an independent effect exerted by the efficiency of banks on regional growth.

PurposeRisk management (RM) is receiving increasing academic and practitioner attention in the public sector. Despite this, there is a lack of systematization of this body of knowledge. The purpose of this paper is to analyze the state of art by examining the knowledge gaps and defining the emerging themes of RM in the public sector to guide future research agendas.Design/methodology/approachThe authors conducted a structured literature review (SLR). They analyzed 63 papers, by using Scopus database, published from 1990 to 2018. All papers were categorized and analyzed according to 11 criteria defined by the literature.FindingsResults show that there is an increasing attention to RM with a need for more effort to consolidate research knowledge. Findings also established a lack of theorization, with a limited explanatory capacity of most studies. The paper defined four main areas for future developments to increase the body of knowledge. Namely, RM and managerial systems (i.e. MCSs and performance management), integrating RM systems and the building blocks of RM that the authors identify will also play a role in helping the authors to understand the diffusion of RM within public sector organizations.Originality/valueDespite the increasing attention to RM in the public sector, more research is required. Considering RM in public sector risks to be a “black box”, this paper revealed some new insights that could help to analyze better RM in the public sector, to open the black box and to avoid a symbolic use of the RM. In fact, integration with the managerial systems and the strengthening of the building block could help to exploit the potential of RM in the public sector.

This paper investigates the role of the domestic value chain in transmitting the economic impact of Covid-19 lockdown measures. By employing techniques of complex networks analysis and input–output traditional tools, the study identifies those sectors that are key in the complex structure of the Italian supply chain and provides different rankings of the most ‘systemically important’ industries involved in the Covid-19 lockdown. The results suggest that by stopping the production process of many key sectors, the lockdown has led to a drop in input and output that, in turn, has generated a lock of about 52% of total circulating value added, 30% of which has been locked within indirect value chains. Further, by adding sectoral physical proximity indexes to the scenarios analysis, the method developed here provides a tool to guide governments in designing safe and efficient reopening policies.