The financial and green effects of cultural values on mission drifts in European social enterprises

The sustainable social enterprises (SEs) literature shows that SEs have to simultaneously pursue economic, social, and environmental aims. However, tensions between these objectives can make this a challenging task and lead towards mission drift. This work investigates if the cultural dimension can forecast the mission drift. We empirically analyze this relationship in three stages. In the first stage, we identify a homogeneous dataset of 287 sustainable SEs from seven EU countries from 2011 to 2020. Then, in the second stage, we apply the data envelopment analysis (DEA) methodology to calculate the efficiency of the SEs. An efficient SE has to simultaneously achieve social, environmental, and economic aims. We calculate a proxy of the mission drift and generate a dichotomous category variable that assigns value 1 to the SE not affected by mission drift, 0 otherwise. In the last stage, we implement the 2SLS logistic regression between the variable that identifies the SEs affected by mission drift and three cultural dimensions: avoidance of uncertainty, masculinity, and short-term orientation.     

Financial sector bargaining power,aggregate growth and systemic risk

Recent decades have seen a substantial increase in the size and influence of the financial industry in advanced economies. Mainstream theory states that the financial sector can increase the efficiency and stability of the real economy by reducing informational asymmetries and transaction costs. Nevertheless, the rise of the financial industry has been accompanied by lower aggregate growth, increased inequality and declining financial stability. With this in mind, the main aim of the present article is to provide a different perspective on the rise of finance in developed countries, by focusing on the impact of financial markets on aggregate growth and economic (in)stability. Specifically, we analyse the role of the bargaining power of financial intermediaries in promoting (or reducing) the entrance of new enterprises in the market and find that the financial sector is essential for the good functioning of the real economy, but that an overdeveloped financial industry can reduce the incentive for new firms to start production, resulting in a negative impact on aggregate growth and economic stability.

     

Big data from dynamic pricing: A smart approach to tourism demand forecasting

Suppliers of tourist services continuously generate big data on ask prices. We suggest using this information, in the form of a price index, to forecast the occupation rates for virtually any time-space frame, provided that there are a sufficient number of decision makers “sharing” their pricing strategies on the web. Our approach guarantees great transparency and replicability, as big data from OTAs do not depend on search interfaces and can facilitate intelligent interactions between the territory and its inhabitants, thus providing a starting point for a smart decision-making process. We show that it is possible to obtain a noticeable increase in the forecasting performance by including the proposed leading indicator (price index) into the set of explanatory variables, even with very simple model specifications. Our findings offer a new research direction in the field of tourism demand forecasting leveraging on big data from the supply side.     

Real-time crisis management: Testing the role of accounting in local governments

At a time of a global crisis with unprecedented depth and breath, this paper explores the role of accounting in real-time crisis management at local level by investigating how national stakeholders assessed the consequences of the Covid-19 pandemic in Italy, one of the most affected countries. The paper aims at augmenting knowledge on the intersection between weathering crisis and accounting. Calculative practices play an important role to help manage crises since they may foster or undermine relief and recovery efforts. Results show how decision makers used cash accounting disregarding more complete information with a wider and longer-term perspective, against some stakeholders’ and scholars’ advice.     

FROM EXOGENOUS TO ENDOGENOUS ECONOMIC NETWORKS: INTERNET APPLICATIONS

Abstract.  Economic agents' behaviour is affected by their position in a network, either exogenous or endogenous, in which they interact with a sub-set of neighbours only. The network's links, which may be generated by vertical and/or horizontal relations, or by more complex morphologies, may explain the transition between dynamic equilibria and the instability of economic aggregates. Moreover, networks shape strategic interaction among agents by determining their strategies; the problem of access and interconnection, particularly relevant in the Internet, is perhaps the best example. A two-way feedback between strategies and network structures arises instead when links are endogenous: those features are clearly shown in the mechanism underlying the formation of peering links and R & D networks.     

Inequity aversion and trustees' reciprocity in the trust game

The introduction of inequity concerns into the Trust Game gives rise to complementary concepts of conditional trustworthiness and unconditional untrustworthiness. When the inequity concern is not accounted for, unconditional untrustworthiness is overestimated. The high proportion of trustees adopting the equal division behavioural norm suggests that an unequal distribution of show-up fees may deter trustors from placing trust, and may eventually reduce the incentive to cooperate for both players. It also follows that increases in income inequality can explain declines in self-reported trust in high-income countries.     

TRUST AND VIRTUAL DISTRICTS: EVIDENCE FROM THE MILAN INTERNET EXCHANGE

Peering decisions between Internet Service Providers (ISPs) contain substantial non‐measurable aspects requiring trust and informal cooperation among peering partners. We study whether virtual districts are observed between Internet peers. Our empirical analysis of the bilateral peering decisions at the Milan Internet Exchange confirms that these decisions are significantly influenced by: travel time either between ISPs' headquarters or towards the exchange—a proxy for distance, bandwidth—a proxy for size, and European connectivity. Proximity still plays a role in reducing the transaction costs of monitoring and punishing deviant behavior within an industry where trust is essential for Internet universal connectivity.     

Identification in Structural Vector Autoregressive Models with Structural Changes,with an Application to US Monetary Policy

A growing line of research makes use of structural changes and different volatility regimes found in the data in a constructive manner to improve the identification of structural parameters in structural vector autoregressions (SVARs). A standard assumption made in the literature is that the reduced form unconditional error covariance matrix varies while the structural parameters remain constant. Under this hypothesis, it is possible to identify the SVAR without needing to resort to additional restrictions. With macroeconomic data, the assumption that the transmission mechanism of the shocks does not vary across volatility regimes is debatable. We derive novel necessary and sufficient rank conditions for local identification of SVARs, where both the error covariance matrix and the structural parameters are allowed to change across volatility regimes. Our approach generalizes the existing literature on ‘identification through changes in volatility’ to a broader framework and opens up interesting possibilities for practitioners. An empirical illustration focuses on a small monetary policy SVAR of the US economy and suggests that monetary policy has become more effective at stabilizing the economy since the 1980s.     

Vertical integration,foreclosure, and productive efficiency

We analyze the consequences of vertical integration by a monopoly producer dealing with two retailers (downstream firms) of varying efficiency via secret two‐part tariffs. When integrated with the inefficient retailer, the monopoly producer does not foreclose the rival retailer due to an output‐shifting effect. This effect can induce the integrated firm to engage in below‐cost pricing at the wholesale level, thereby rendering integration procompetitive. Output shifting arises with homogeneous and differentiated products. Moreover, we show that integration with an inefficient retailer emerges in a model with uncertainty over retailers' costs, and this merger can be procompetitive in expectation.