A comprehensive view of intelligent transport systems for urban smart mobility

ABSTRACT

Information accuracy and decision-making speed are of paramount importance in managing today’s mobility of goods and people inside the city. Intelligent Transport Systems (ITS) can provide road users with updated information and forecasts on both traffic and weather conditions. The result is a higher efficiency in the use of resources and a better management of physical flows. The purpose of this paper is to conduct an in-depth review on the role of ITS supporting urban Smart Mobility, in order to identify the main gaps in the literature and propose future research streams. In total, 71 papers have been thoroughly analysed: they are mainly focused on technology, with limited attention to value creation. Even though some benefits have been examined, a general lack of quantitative models emerged. Eventually, there is a lack of contributions considering both people and freight transport, even if they are strongly related, especially in an urban environment.     

Moonlighting Politicians: Motivation Matters!

We study self‐selection into politics and effort once in office of citizens with different abilities and motivations in a framework where moonlighting is allowed. We find that high‐ability motivated (public‐fit) politicians exert higher effort in politics than high‐ability non‐motivated (market‐fit) politicians, and that high‐ability citizens, both public‐fit and market‐fit, may decide to enter politics. We test our predictions using a database of Italian parliamentarians for the period 1996–2006. We find evidence of advantageous selection of both market‐fit and public‐fit parliamentarians. We also show that public‐fit parliamentarians have higher voting attendance and that only voting attendance of market‐fit parliamentarians is negatively affected by income opportunities.     

Strategic Certification and Provision of Quality

We study the effect of the presence of a certification intermediary in an environment where information asymmetries are particularly severe. The intermediary improves the information that buyers have about quality. This in turn increases the incentives that the seller has to provide high-quality goods. Efficiency is increased by the presence of the intermediary, but quality is underprovided in equilibrium relative to full information. The intermediary can implement the optimal policy in many ways. The amount of information revealed ranges from full disclosure to partial, noisy disclosure.     

New firm formation in Italian industry: 1985–89

This paper deals with the process of new firm formation in Italian manufacturing industry during the second half of the 1980s. For this purpose we use the data base made available by the National Institute of Social Security, which provides information on both newly and already established firms with at least one employee. Two birth rates are computed and analysed for the relevant industries: the first one is the ratio between new enterprises and already established firms and the second is the share of new enterprises on industry employees. We show that Italian industries are characterized by marked differences in terms of birth rates but also that the ranking of industries is different by using the first or the second index of new firm formation. Looking at the determinants of this process, we found that industry growth affects positively both birth rates; small firm presence is effective only when the second index of new firm formation is used while inter-industry differences in profitability are always not significant. These results seem peculiar to the Italian case in which the size of newly established firms is very small in comparison with the size of previously existing firms.     

Innovation and finance: a stock flow consistent analysis of great surges of development

The present work aims at contributing to the recent stream of literature which attempts to link the Neo-Schumpeterian/Evolutionary and the Post-Keynesian theory. The paper adopts the Post-Keynesian Stock Flow Consistent modeling approach to analyze the process of development triggered by the emergence of a new-innovative productive sector into the economic system. The model depicts a multi-sectorial economy composed of consumption and capital goods industries, a banking sector and two households sectors: capitalists and wage earners. Furthermore, it provides an explicit representation of the stock market. In line with the Schumpeterian tradition, our work highlights the cyclical nature of the development process and stresses the relevance of the finance-innovation nexus, analyzing the feed-back effects between the real and financial sides of the economic system. In this way we aim at setting the basis of a comprehensive and coherent framework to study the relationship between technological change, demand and finance along the structural change process triggered by technological innovation.     

Market impacts of the 2020 short selling bans

At the height of the COVID-19 related market stress in March 2020, six European countries implemented market-wide short selling bans. Based on a difference-in-difference approach using regulatory data, our estimation finds that the bans are associated with a deterioration in liquidity and trading volumes, and a decrease in volatility, without evidence of price impact. Remarkably, the negative impact persisted after the bans' lift. Liquidity deterioration appears stronger for liquid shares- large-cap, highly fragmented stocks, and stocks with listed derivatives. Sectoral effects are noticed for the stocks most affected by the market stress. Finally, no displacement effect was observed.     

Political competition and policy choices: the evidence from agricultural protection

This article investigates whether political competition plays an important role in determining the level of agricultural protection. In order to do so, we exploit variation in political and economic data from 74 developing and developed countries for the post‐war period. We use two measures of political competition: one that captures the extent to which political power can be freely contested regardless of election results and one based on vote share at last parliamentary elections. Our results, based on static and dynamic panel estimators, show unambiguously that the higher the level of political competitions is, the higher the agricultural protection.     

Sectoral shifts, diversification and regional unemployment: evidence from local labour systems in Italy

Using Local Labour Systems (LLSs) data, this work aims at assessing the effects of sectoral shifts and industry specialization patterns on regional unemployment in Italy over the years 2004–2008. Italy represents an interesting case study because of the high degree of spatial heterogeneity in local labour market performance and the well-known North–South divide. Furthermore, the presence of strongly specialized LLSs (Industrial Districts, IDs) allows us to test whether IDs perform better than highly diversified urban areas thanks to the effect of agglomeration economies, or viceversa. Building on a semiparametric spatial auto-regressive framework, our empirical investigation documents that sectoral shifts and the degree of specialization exert a negative role on unemployment dynamics. By contrast, highly diversified areas turn out to be characterized by better labour market performances.     

Schumpeterian patterns of innovation and the sources of breakthrough inventions: evidence from a data-set of R&D awards

This paper examines the relationship between Schumpeterian patterns of innovation and the generation of breakthrough inventions. Our data source for breakthrough inventions is the “R&D 100 awards” competition organized each year by the magazine Research & Development. Since 1963, this magazine has been awarding this prize to 100 most technologically significant new products available for sale or licensing in the year preceding the judgment. We use USPTO patent data to measure the relevant dimensions of the technological regime prevailing in each sector and, on this basis, we provide a characterization of each sector in terms of the Schumpeter Mark I/Schumpeter Mark II archetypes. Our main finding is that breakthrough inventions are more likely to emerge in ‘turbulent’ Schumpeter Mark I type of contexts.     

Marketing metrics: Insights from Brazilian managers

This study examines how managers approach marketing measures in a Brazilian context. Using data from a large-scale empirical study in Brazil, we focus on managers' views of the practices in marketing measurement and identify which indicators they emphasize. The findings, which reflect Brazilian managerial practice, indicate that managers use a combination of metrics. Items such as total number of customers, number of complaints, and customer satisfaction are among the most known and most used metrics. When addressing the 10 most relevant metrics results yield 4 groups, including customer vision, financial, product vision, and market and innovation. Indicators pertaining to customer vision are the most important to Brazilian managers. Furthermore, we discuss the results and draw comparisons with similar studies conducted in the United Kingdom and China. Finally, we present conclusions and avenues for future research.