Industry 4.0 technologies in the manufacturing sector: Are we sure they are all relevant for environmental performance?

This research contributes to the debate about the relevance of Industry 4.0 technologies in improving environmental performance in the manufacturing industry. We employed a qualitative–quantitative approach in which 19 Italian operations managers were interviewed and 260 managers responded to an online questionnaire. The effects of various technologies were ranked using ordinal regression. Comments and suggestions gave context to the quantitative results. Sensors, radio-frequency identification, artificial intelligence and analytics were found to be most relevant in improving environmental performance, whereas simulation software contributed moderately. Additive manufacturing, cobots, robots, automated mobile robots and automated guided vehicles had a negative effect, augmented reality had no effect and other technologies indirectly affected environmental performance. We also found a lack of knowledge and application as well as scepticism about technologies such as artificial intelligence and augmented reality. Finally, there was concern about the disposal of electrical and electronic waste produced by these technologies.     

Market consumption and hidden consumption. A test for substitutability

Previous studies point to a generally efficient baseball betting market with no profitable betting strategies. However, failure to consider the time of year in which the bets are placed neglects differences in available information throughout the season. This analysis largely confirms the general efficiency of the major league baseball betting market by existing measures; however, incorporating the time of the year in which the bet is made generates persistent profitable betting strategies. The process by which information impacts returns is considered; increasing difficulties in determining the true favourite likely play the largest role, while assessing the exact favourite underdog relationship also has an impact.     

Identification and dimension of the NAIRU

In this paper, we have re-examined the identification of the NAIRU and presented a well-defined reduced form for analysing the equilibrium unemployment rate, using a cointegrated VAR model. We have stated that the NAIRU estimates using the conventional reduced form (or Phillips curve) models are misleading since the natural rate of unemployment cannot be considered as a fixed point calling for the ceteris paribus assumption for all the data involved. This implies that the NAIRU estimates are unable to provide valuable information on the labour market status.     

Environmental Policies for Evaluating Suppliers' Performance Based on GRI Indicators

Many companies use a performance measurement system (PMS) to evaluate their suppliers' environmental performance (SEP). To do this a company can establish its own set of measures or adopt indicators borrowed from specific standards and guidelines such as the Global Reporting Initiative (GRI). However, the results of a literature review indicate that the weights of the different environmental performance indicators within an overall SEP rating are unclear. The aim of this paper is to understand what the environmental policies adopted by European manufacturing companies to evaluate their suppliers really are. In order to reach this objective, a quantitative model based on multiple linear regression has been developed. The model correlates different environmental aspects taken from the GRI set of indicators with the overall SEP rating. Interestingly, results show that performances on aspects such as transport and ISO 14001 certification do not count towards the final ranking, whereas compliance with laws and regulations is the cornerstone of the evaluation of the supplier. Other performance indicators can in some ways be linked to compliance with laws and regulations. Copyright © 2015 John Wiley & Sons, Ltd and ERP Environment     

Indeterminacy, underground activities and tax evasion

This paper introduces underground activities and tax evasion into a one-sector dynamic general equilibrium model with aggregate external effects. The model presents a novel mechanism driving the self-fulfilling prophecies, which is characterized by well behaved (downward sloping) labor demand schedules. This mechanism differs from the customary one, and it is complementary to it. Compared to traditional labor market income, the income derived from underground labor activity is subject to a lower expected tax rate when considering both the probability of detection and the evasion penalty. During a belief-driven expansion, the household allocates more time to both traditional and underground labor supply. In equilibrium, this action serves to lower the effective labor tax rate faced by the household, thus providing stimulus to aggregate labor supply so as to make the initial expansion self-fulfilling. The mechanism here is akin to a “regressive tax”; the household's effective tax rate depends negatively on the level of total labor income. We argue that an underground sector, and the associated tax evasion, offer a good economic rationale for a regressive tax rate.     

Disinflation in the Italian economy in an optimal control setting

In this article we use optimal control techniques and a nonlinear, small-size econometric model of the Italian economy, with the purpose of analyzing the disinflation process that has characterized the Italian economy during the period 1984–1987. Within the optimization framework, we question a wide range of issues of political economy, the role of incomes policy, and nominal anchors in promoting low-cost disinflation.     

Was Malthus right? The relationship between population and real wages in Italian history, 1320 to 1870

In this article we investigate the relation between population and real wages in the Italian economy during the period 1320–1870. The main result is that the positive check is strong and statistically significant but the other equilibrating mechanism in the Malthusian model – the preventive check – based on the positive relationship between fertility and real wages does not operate in pre-industrial Italy. In contrast to the Malthusian hypothesis, we find a negative feedback from wage to population. The empirical result is clearly consistent with the theoretical framework of the “old age security motive”. We show, with a simple overlapping-generation model, that by allowing for substitution in a pre-industrial economy between child quantity and other assets (such as new seeds, better soybean quality, and new cultivation and irrigation methods) fertility may be negatively affected whenever income rises.     

Factors for succeeding in ISO 14001 implementation in Italian construction industry

The main aim of this research is to find the most relevant factors for a successful ISO 14001 implementation in the construction industry. Thousands of companies, including those in the construction industry, are interested in an ISO 14001 environmental management system (EMS). Italy holds one of the largest databases of ISO 14001 certified organisations; in this database, the construction industry represents the second largest sector. Using a questionnaire, the research tested six potential factors that affect the success of an ISO 14001 EMS implementation. Moreover, the quantitative results were discussed together with qualitative notes left by respondents. The results showed that only three out of the six factors really affect ISO 14001 EMS implementation in the construction industry: involvement of employees, top management commitment, and development of environmental technical skills. It seems that the respondents perceived that economic and financial results, identification of environmental aspects and impacts, and the involvement of stakeholders have a limited or null effect on ISO 14001 implementation. Particular issues concerning developing workers' awareness, evaluating all the environmental impacts, and obtaining real economic advantages were raised in the respondents' comments. Conclusions highlight specific contributions for practitioners and other stakeholders involved in EMS.     

Does Tax Evasion Affect Economic Crime?*

This paper examines the effect of tax evasion on criminal activities in Italy. Specifically, we consider three types of crime that are related to economic determinants: property crimes (including robbery, theft and car theft), fraud and usury. We estimate different econometric models using annual data from the Italian provinces (NUTS-3 level) for the 2004–12 period. We find that tax evasion positively affects economic crimes, and our results suggest that tax evasion is an incentive to engage in criminal activities, in addition to more standard determinants that we include in the analysis, such as labour market opportunities and deterrence. Moreover, these crimes demonstrate different levels of persistence over time and reflect different adjustment costs.     

The Composition of Union Membership: The Role of Pensioners in Italy

This paper considers changes in the membership composition of the three leading Italian trade union confederations during the last fifteen years. The analysis emphasizes the remarkable growth of membership among pensioners and the drop in active workers. The key issue here is that intergenerational aspects of unions' membership components are taken into account in the bargaining process. Unions internalize unemployment externalities on pension benefits resultant on the wage outcome as they consider the welfare of all their members in the economy. A formulation of the union monopoly model with endogenous membership supports these findings, while the econometric evaluation of the membership component effects shows that unions are forced to pursue wage moderation and improvements in employment conditions.