Classification and benchmark of City Logistics measures: an empirical analysis

Urban freight distribution accounts for a significant share of pollution and congestion in urban areas. To reduce these negative impacts, municipalities have implemented several City Logistics (CL) measures. This paper presents the empirical analysis of a dataset of 70 European cities that have been piloting or rolling out a CL measure, to provide an updated indication of the status of CL initiatives and analyse the diffusion of CL internationally. The research objective is also to help understand the contextual factors might explain their introduction. To this end, a set of City Logistics Indices (CLI) is used as indicators of the breadth and number of CL measures implemented in a city. A statistical correlation of these CLIs with respect to a set of independent variables, namely the contextual factors, is also performed. Results reveal that the level of pollution, the diffusion of e-commerce and GDP are important drivers of CL deployment.     

FISCAL STIMULUS WITH LEARNING‐BY‐DOING

Using a Bayesian structural vector autoregression analysis, we document that an increase in government purchases raises private consumption, the real wage, and total factor productivity (TFP) while reducing inflation. These three facts are hard to reconcile with both neoclassical and New Keynesian models. We extend a standard New Keynesian model to allow for skill accumulation through past work experience. An increase in government spending increases hours and induces skill accumulation and higher measured TFP and real wages in subsequent periods. Future marginal costs fall lowering expected inflation and, through the monetary policy rule, the real interest rate. Consumption increases as a result.     

Comparability in IPSASs: Lessons to be Learned for the European Standards

Abstract

In 2013 the European Commission started addressing issues concerning public sector accounting harmonization across EU Member States, embarking on a project to develop European Public Sector Accounting Standards (EPSASs). Although acknowledging the indisputable reference of the existing International Public Sector Accounting Standards (IPSASs), it highlighted that IPSASs, as they were, could not be suitably applied in the EU context (European Commission, 2013a). IPSASs were considered as not covering specific important matters of public sector accounting, not showing enough stability due to the need of constant convergence with IFRSs, and offering several options that compromised comparability.

Comparability of public sector accounts across Member States is one of the main objectives of EPSASs (EUROSTAT, 2016, 2019), clearly established as a qualitative characteristic in the draft EPSAS Conceptual Framework (EUROSTAT, 2018). It is critical for EU economic and fiscal convergence that countries’ accounts allow for substantial comparison and standardized transition to the National Accounts (Jorge et al., 2014).

The IPSAS Conceptual Framework (IPSASB, 2014), meanwhile issued, sustains that adopting these standards would improve comparability of General Purpose Financial Reporting (GPFR), in this way strengthening transparency and accountability of public sector finance.

Given that, despite the above concerns, EPSASs are to be developed on the basis of IPSASs (European Commission, 2019), the purpose of this paper is to show that IPSASs are not an adequate reference for EPSASs in terms of allowing the desired comparability of countries’ accounts in the EU. It relies on evidence gathered from IPSAS-based financial reports prepared by some Agencies of the United Nations System and from audit reports of the UN Board of Auditors.

The research illustrates that IPSASs only allow for de jure comparability of financial reports at a very broad level. Their implementation and interpretation in practice (due to the options permitted and the judgement required) does not allow for de facto comparable GPFR. European standard-setters need to be aware that the comparability EPSASs need to address across EU Member States’ accounts must go beyond the one that is permitted by IPSASs – EPSASs need to stretch IPSASs harmonization to a higher level of standardization.     

Selection in asset markets: the good, the bad, and the unknown

In this paper, we use a series of simple examples to illustrate how wealth-driven selection works in a market for Arrow securities. Our analysis delivers both a good and a bad message. The good message is that, when traders invest constant fractions of their wealth in each asset and have equal consumption rates, markets are informationally efficient: the best informed agent is rewarded and asset prices eventually reflect this information. However, and this is the bad message, when asset demands are not constant fractions of wealth but dependent upon prices, markets might behave sub-optimally. In this case, asymptotic prices depend on preferences and beliefs of the whole ecology of traders and do not, in general, reflect the best available information. We show that the key difference between the two cases lies in the local, i.e. price dependent, versus global nature of wealth-driven selection.     

Reverse causality in the R&D–patents relationship: an interpretation of the innovation persistence

Starting from the failure of the R&D–patents traditional relationship, when time-series and/or within-industry dimensions are included in the empirical analysis, the present work tries to contribute to the empirical literature from two directions. First, it performs a Granger causality test based on the theoretical presumption of a reverse patents→R&D link as an explanation for the failure of the traditional relationship. Second, assuming the reverse patents–R&D causality, we test and interpret the lag structure of such a relationship which shows the effective patent life that firms can expect within the two Schumpeterian patterns of innovations they belong to. In the light of the effective patent life, we offer a further explanation of innovation persistence which overturns the findings of the existing literature on persistence.     

Economic Analysis at the European Commission 2012–2013

In 2012–2013 the European Commission has had particularly prominent merger cases, with two prohibitions of transactions and several clearances with far-reaching remedies. In these cases economic analysis has been tightly integrated into the general argument of the Commission and became central to the outcome of the cases. Based on economic theory and supporting data, the Commission has pursued novel economic theories of harm and challenged some economically dubious “common wisdom” in merger assessment. The second area in which economic analysis has had a major impact is in state aid modernization. The new regional aid guidelines of 2013 have moved the rules much closer to economic thinking about effective regional aid and introduced requirements for economic ex-post analysis. Finally, the decisions on the e-books case reflect close cross-Atlantic cooperation with respect to the economic analysis and the design of appropriate remedies. This article reports on a number of examples for the most important cases.     

Consumer default with complete markets: default-based pricing and finite punishment

This paper studies economies with complete markets where there is positive default on consumer debt. In a simple tractable two-period model, households can default partially, at a finite punishment cost, and competitive intermediaries price loans of different sizes separately. This environment yields only partial insurance. The default-based pricing of debt makes it too costly for the borrower to achieve full insurance, and there is too little trade in securities. This framework is in contrast to existing literature. Unlike the literature with default, there are no restrictions on the set of state contingent securities that are issued. Unlike the literature on lack of commitment, limited trade arises without need of debt constraints that rule default out. Compared with the latter, the present approach appears to imply more consumption inequality. An extended model with an infinite horizon, idiosyncratic risk and more realistic assumptions is used to demonstrate the general validity of this approach and its main implications.     

Spatial agglomeration and firm exit: a spatial dynamic analysis for Italian provinces

The paper investigates the effect of spatial agglomeration on firm exit in a dynamic framework. Using a large dataset at the industry-province level for Italy (1998–2007), we estimate a spatial dynamic panel model via a GMM estimator and analyze the short-run impact of specialization and variety on firm exit. Specialization negatively affects firm exit rates in the short-run. The effect is particularly significant for low-tech firms. The impact of variety on firm mortality rates at the industry level is instead less clear, although still negative and significant for low-tech firms.