Structural comparisons of networks and model-based detection of small-worldness

In this paper, we consider the problem of assessing the “level of small-worldness” of a graph and of detecting small-worldness features in real networks. After discussing the limitations of classical approaches, based on the computation of network indicators, we propose a new procedure, which involves the comparison of network structures at different “observation scales”. This allows small-world features to be caught, even if “hidden” deeply into the network structure. Applications of the procedure to both simulated and real data show the effectiveness of the proposal, also in distinguishing between different small-world models and in detecting emerging small-worldness in dynamical networks.     

The role of human capital in identifying the drivers of product and process innovation: empirical investigation from Italy

Quality & Quantity - Economists recognize that the local availability of higher human capital represents significant knowledge spillovers, especially for innovation process. This research...     

Policy uncertainty and aggregate fluctuations

This paper estimates the impact on the US economy of four types of uncertainty about (i) government spending, (ii) tax changes, (iii) public debt, and (iv) monetary policy. Uncertainty about government debt has a large and persistent effect on output, consumption, investment, consumer confidence, and business confidence. Uncertainty about tax changes also has detrimental consequences for real activity but the effect of spending and monetary policy uncertainty appears to be small. About 25% of output fluctuations are accounted for by policy uncertainty, with government debt making the largest contribution at longer horizons.     

Obstacles and solutions on the ladder of citizen participation: a systematic review

This article presents a systematic review of the English-language empirical literature about citizen participation to identify the obstacles to its implementation and the most successful ways to address them. Three sets of variables seem to impact effectiveness: contextual factors, including information asymmetries and public officials’ attitude; organizational arrangements, including community representation criteria and process design; and process management patterns, including group dynamics and collaboration quality. Two recommendations stem from our analysis: internalize decisions in organizational procedures, and establish ongoing interactions between government bodies and their stakeholders. We conclude that half-hearted engagement is unlikely to lead to successful citizen participation.     

Trade networks and economic fluctuations in Asian countries

The paper presents a new methodology, based on tensor decomposition, to map dynamic trade networks and to assess its strength in forecasting economic fluctuations at different periods of time in Asia. Using the monthly merchandise import and export data across 33 Asian economies, together with the US, EU and UK, we detect the community structure of the evolving network and we identify clusters and central nodes inside each of them. Our findings show that data are well represented by two communities, in which People's Republic of China and Japan play the major role. We then analyze the synchronisation between GDP growth and trade. Furthermore we apply our model to the prediction of economic fluctuations. Our findings show that the model leads to an increase in predictive accuracy, as higher order interactions between countries are taken into account.     

Sustainability Northwest: An Integrative Case of a Not‐for‐Profit Organization

Sustainability Northwest (SNW) is a fictional not‐for‐profit organization (NPO) that seeks to develop thought leaders for a sustainable future. This instructional case allows professors to assign students with up to six different roles, including SNW's chair of the board, executive director, volunteer treasurer, and the external auditor. Unique learning objectives include (i) the application of the CPA Canada Handbook, Accounting—Part III to prepare an NPO's financial statements using fund accounting, (ii) the development of recommendations to improve an NPO's board of directors, (iii) the analysis of system flow documents to identify control weaknesses, and (iv) the preparation of an audit planning memo. Instructors can use this case in several milieus. First, professors can foster a student's ability to integrate technical knowledge by (i) assigning students all six roles in a capstone course to promote integration within an individual course or (ii) assigning multiple roles across multiple courses to promote integration across a program of studies. Second, instructors can focus on a particular technical skill by assigning specific roles. This case is ideal for senior‐level undergraduate students or graduate students.     

Financial Literacy: The Role of the Local Context

In this article, we investigate the role of local factors associated with the financial literacy of Italian adults (no. 945). Using a multilevel regression model, together with the common socioeconomic and sociodemographic variables already used in previous studies, we also add certain environmental variables at the local level. We separately analyze the three indexes that define the OECD financial literacy index—Financial Attitude Index (FAI), Financial Knowledge Index (FKI), and Financial Behavior Index (FBI)—because they show a dynamic of their own in each region. Our findings confirm that the FKI and the FAI are associated to some extent with environmental traits, while the FBI is not. We conclude that not only the sociodemographic and socioeconomic conditions of individuals but also certain features of the regional context where they live have an impact on their financial literacy. Consequences for financial education programs are highlighted.     

A tale of two Italies: ‘access-orders’ and the Italian regional divide

ABSTRACT

This paper uses the ‘access orders’ paradigm developed by North, Wallis, and Weingast [(2009). Violence and social order: A conceptual framework for interpreting recorded human history. Cambridge: Cambridge University Press] to analyse the case of the Italian North–South economic divide. In line with their framework, we collect and discuss several social and political indicators over the long-run, at the regional level. Firstly we looked at data on the pre-conditions for the establishment of an open-access order, such as murders per capita (a proxy for control over violence), voting turnout and referendums participation (proxies for political legitimacy), and the impersonality of exchange. We then showed evidence of different access orders in the North and in the South, using the information on human capital formation, women participation in the labour market, and referendum results. On the basis of this evidence, we argue that, despite being part of the same State and subject to the same formal institutions, the North of the country progressively developed into an open-access order, while the South remained a form of limited access order.

Institutional differences are linked to specific aspects of the economic performance of the two areas, thus the ‘access order’ paradigm appears to be an effective conceptual scheme to explain the North–South economic divide.     

How the sender’s positioning and the target’s CSR record influence the effectiveness of scapegoating crisis communications

Past research on scapegoating argues that this crisis communication strategy is often ineffective because it can be perceived as an unfair attempt at shifting blame. In contrast, a few studies have shown that scapegoating can be effective by increasing the perceived ethicality of the sender relative to the target that is presented as responsible for wrongdoing. Reconciling these inconsistent findings, we show that the relative effectiveness of scapegoating depends on the perceptions of the sender and of the target. Our findings show that both the positioning of the sender as an underdog or a top dog and the positive or negative CSR record of the target contribute to explaining the effectiveness of scapegoating. Following a crisis, scapegoating appears to be most effective when the sender is an underdog and the target has a negative CSR record. The effectiveness of scapegoating for an underdog is however reduced when the target has a positive CSR record. At the opposite end, scapegoating might backfire when the sender is a top dog that attacks a target with a positive CSR record. Finally, when a top dog attacks a target with a negative CSR record, scapegoating reduces negative word of mouth even though this effect does not appear to be mediated by perceived ethicality. The study contributes to research on scapegoating communications and on the consequences of an underdog positioning and a positive CSR record for companies trying to manage the negative fallout from an ethical crisis.

     

Shortfall aversion

Shortfall aversion reflects the higher utility loss of spending cuts from a reference than the utility gain from similar spending increases. Inspired by Prospect Theory's loss aversion and the peak‐end rule, this paper posits a model of utility from spending scaled by past peak spending. In contrast to traditional models, which call for spending rates proportional to wealth, the optimal policy in this model implies a constant spending rate equal to the historical peak when wealth is relatively large. The spending rate increases when wealth reaches a model‐determined multiple of peak spending. In 1926–2015, shortfall‐averse spending is smooth and typically increasing.