Switching to Green: The Timing of Socially Responsible Innovation

We develop a timing game for adopting a product technology that features a public good. We investigate the effects of the degree of product market competition, product differentiation, the private benefits from contributing to the public good, and firm asymmetries on the timing of adoption. We then examine the effects of consumer subsidies on equilibrium timings and the proliferation of the public good.     

A Stochastic Model of Wealth Accumulation with Class Division

This paper is aimed at contributing to the literature on income and wealth inequality by proposing a simple stochastic model in which wealth accumulation depends on the ‘social relation’ between two classes: capitalists or workers. As a result, the society may evolve towards an unequal outcome with few rich and many poor individuals. We study the dynamic properties of the model by means of computer simulations. A maximum likelihood estimation procedure is applied to analyse the Pareto or power law tail of wealth distribution. We also provide a scenario analysis to explore the system's behaviour under alternative parameter settings.     

Personal and regional redistribution through public finance in a federal setting

Following a partial equilibrium approach, this paper studies the effect of fiscal policy on income distribution in Argentina, based on budget information corresponding to the year 2004. Specifically, it aims to provide an empirical answer to a set of questions related to the responsibility of different levels of government (national or provincial) in ensuring the equitable distribution of income; how this responsibility is accomplished in practice, when this function is shared among two or more levels of government; whether an incompatibility arises among the policies from different levels of government; and the effect of fiscal policy on personal and regional income distribution.The main results of the paper are summarized as follows. At the aggregate level, both national and provincial budgets have a redistributive impact on personal income distribution, through a combination of progressive expenditures and (slightly) regressive taxes. Regional redistribution depends on two fiscal tools: the national budget and the revenue sharing regime. The progressive effect of expenditures and taxes interacts with the geographical effect of the revenue-sharing and the national budget, reinforcing progressivity in net-receiving groups and creating a trade-off between progressivity and (negative) regional transfer in net-financing ones. Provincial budgets have more impact than the national budget, both being compatible in pursuing the redistributive goal.     

Microfinance and gender inequality: cross-country evidence

Microfinance enables poor women to engage in income-generating activities, which helps them become financially independent, strengthening their decision-making power within the household and society. Consequently, microfinance has the potential to reduce gender inequality (GI). Case-study evidence from across the developing world both supports and contradicts this hypothesis. We therefore revisit this issue using macroeconomic cross-country panel data for 64 developing economies over the period 2003–2014. We find that women’s participation in microfinance is associated with a reduction in GI. However, regional interactions reveal that cultural factors are likely to influence the GI–microfinance nexus.     

Market Power and Patent Strategies: Evidence from Renaissance Venice

This paper exploits the introduction of the first regularized patent system, which appeared in the Venetian Republic in 1474, to examine the factors shaping inventors’ propensity to use a new form of intellectual property. We combine detailed information on craft guilds and patents in Renaissance Venice and show a negative association between patenting activity and guild statutory norms that strongly restricted entry and price competition. Our analysis shows that the heterogeneity in patenting activity documented by the industrial organization literature is not a special feature of modern technologies, but is rather a persistent phenomenon affected by market power.     

Identifying micro-destinations and providing statistical information: a pilot study in the Canary Islands

Municipalities and regions are often used as an object of tourism analysis at the subnational level. This occurs because administrative borders are used to implement tourism policies and collect statistical information. However, administrative boundaries may not always be suitable for studying tourism destinations at a local level. Sometimes, particularly in high-density tourism destinations, several differentiated tourism areas occupy a single municipality; tourism areas may, and often do, extend beyond municipal boundaries and tourism destinations may not occupy the whole of the municipal area. As such, a new level of analysis is often required: the micro-destination. There are few tourism concepts as imprecise as that of the destination. Therefore, the process of identifying and establishing the boundaries of a micro-destination is by no means a straightforward one. This paper presents six criteria for establishing the boundaries of this type of tourism area. Of these six, the two primary criteria used are: the concentration of tourism establishments; and tourism typologies and supply characteristics. These criteria have been applied as part of a pilot study in the Canary Islands. Statistical information for nine micro-destinations is generated using the geolocation of tourism establishments together with information obtained from both supply-side and demand-side surveys.     

Prepayment and future cross-buying: an exploratory analysis

Recent research has provided important insights on consumers’ preferences for prepayment mechanisms and on its impact on consumption of a given product or service. However, little is known about how prepayment influences future purchases of goods and services. We consider this question in a contractual setting within the services industry, involving different purchasing decisions over time. Based on a large-scale empirical test, we find that prepay customers make fewer changes to their cross-buying levels (i.e., the number of different services they buy from the company) from one contractual period to another, and that this effect is more salient for the firm's new customers. We propose possible explanatory mechanisms for this effect. For instance, based on mental budgeting theory, we suggest that prepayment customers may set mental budgets and track expenditures against this budget leading them to resist further investments. Alternatively, prepayment customers may be more certain about their consumption behavior leading to fewer changes over time.

     

Exports,imports and growth: New evidence on Italy: 1863–2004

The nexus between trade and economic growth in Italy has been widely debated by historiography. However, there are no long run analyses on this topic that cover the whole span from Unification to present days. This paper contributes to fill this gap by investigating the relationship between real exports, imports and GDP in Italy from 1863 to 2004 by using cointegration analysis and causality tests. The outcome suggests that these variables comove in the long run but the direction of causality varies across time. In the period prior to the First World War import growth led GDP growth that in turn led export growth. Conversely, in the post-Second World War period we have a strong bidirectionality between imports and exports consequent on the increase in intra-industry trade. We also find a weak support for export-led growth and growth-led imports. This suggests that exports were not the only or the main driver of economic growth. There was probably a multiplicity of factors at work, among which high rates of capital formation and the expansion of internal demand probably stood out.     

Assessment of meaningful change in routine outcome measurement (ROM) with a combination of a longitudinal and a ‘classify and count’ approach

To assess significant changes of health status in people receiving health care, distribution-based and anchor-based methods have been proposed. However, there is no real consensus on what method is the best for evaluating clinically meaningful change. To maximize the internal and external validity of outcome assessment, we propose combining two approaches as recommended by recent practical guidelines on this field. Specifically, we suggest applying longitudinal hierarchical linear models on subgroups of patients showing reliable change and reliable and clinically significant change. This combined approach improved the model’s ability (1) to quantify the magnitude of changes to be reliable and clinically meaningful and (2) to select significant predictors of changes. An empirical application on a prevalence sample of Italian outpatients attending four community mental health services was done. A cross-sectional model and three longitudinal models were applied on the entire study sample and reliable and clinically meaningful change subsamples to investigate the magnitude of change and the predictive effect on outcomes of clinical, socio-demographic and process variables on different patients’ subgroups. Differences were found suggesting that both the statistical method and the sample used to calculate individual changes affect the estimates. The main conclusion is that ignoring the longitudinal data structure or including patients with unreliable change at the follow-up might result in misleading inferences that can alter the real magnitude of changes and the contributions of predictors. The approach proposed provides robust feedback to clinicians on clinically significant change and can be recommended in outcome studies and research.