Sustainability with Uncertain Future Preferences

A feature of the sustainability problem is that the preferences of future generations are uncertain. In this paper, we put forward a fairness-based definition of sustainability that takes this uncertainty into account. We analyze the implications of this definition in the context of a model of project evaluation. We show that our definition encompasses the concepts of non-declining welfare and of weak and strong sustainability. Furthermore, we show that preference uncertainty has a substantial influence on the implications of sustainability. We are indebted to two anonymous referees whose comments helped considerably to improve the paper. All remaining errors are ours.     

Credit market constraints and labor market decisions

In this paper, we examine whether imperfections in credit markets spill over to other markets, particularly the labor market. We take the case of Italy, a country that experienced changes in the mortgage market brought about by the 1992 European unification and other institutional shifts. These events make Italy a good laboratory to study the effects of financial markets on the labor market. Using household data from the Bank of Italy between 1989 and 1993, we estimate the relationship between female participation and mortgage use. We find a significant impact of mortgages on women's participation in the labor market.     

Bioenergie – Beitrag zum heutigen und zukünftigen Energiesystem

The introduction and establishment of renewable energies is still discussed intensively with the focus on climate-neutral coverage of the global energy demand. In this regard it is a valid option to use biomass as a feedstock. Already today biomass contributes significantly to cover the energy demand in the global energy system. Therefore, the present and future global bioenergy potentials are investigated in the following and compared to the respective biomass use. The results show, amongst others, that the share of biomass for heat, electricity and fuel production will increase worldwide until 2030, although the availability of biomass for energy production is likely to decline in the future.     

The residential real estate market in Italy: a spatio-temporal analysis

Quality & Quantity - Real estate market follows generally the evolution of the economic cycles. In Italy, it has been characterized by a period of expansion (2000–2006) and a period of...     

Disclosure Control of Business Microdata: A Density-Based Approach

For continuous key variables, a measure of the individual risk of disclosure is proposed. This risk measure, the local outlier factor, estimates the density around a unit. A selective masking method based on the nearest-neighbour principle and microaggregation is also introduced. Some results of an application to the Italian sample of the Community Innovation Survey are presented.     

The Rise of Digital Financialisation: The Case of India

ABSTRACT

Traditional notions of financialisation require updating to study the reorganisation of finance around digital infrastructures. We introduce the concept of digital financialisation, defined as the often-coerced merging of two hitherto separate aspects of citizens’ lives – interactions using digital technologies and financial transactions – into a new hybrid realm. This realm is undergirded by an infrastructure that harvests citizens’ data, which companies can monetise and governments can use for political surveillance. In developing countries, the state plays a key role in creating surveillance infrastructures, often using coercive means in the name of financial inclusion, as the demonetisation and Aadhaar projects in India show. Unlike the industry-finance conflict in ‘analogue’ financialisation, digital financialisation involves domestic and cross-border conflicts between tech and finance companies for control of the hybrid realm. The state mediates these conflicts. In India, it deploys a narrative of technocultural nationalism to cultivate its domestic political constituencies and downplay its reliance on foreign technology.     

Measuring the impact of accounting journals using Google Scholar and the g-index

The UK's proposed Research Excellence Framework promotes a move towards citation analysis for assessing research performance. However, for business disciplines, journal rankings are likely to remain an important aid in evaluating research quality. The accounting literature includes many journal rankings and citation studies, however there has been little coverage of recent advances in these areas. This study explores approaches to assessing the impact of accounting journals with a focus on quantitative measures as a complement to peer-review-based evaluation. New data sources and techniques for citation studies are reviewed, and the g-index is selected for further analysis. The g-index was developed by Professor Leo Egghe in 2006 as an improvement on the h-index. Like the h-index, the g-index represents a relationship between papers published and the level of citations they receive, but the g-index is more sensitive to highly cited paper. To apply the g-index to accounting journals, the study first combines eight published journals rankings to produce a list of 34 highly-regarded titles. Citation data are then gathered from Google Scholar and used to calculate g-index scores as the basis of a new ranking. Google Scholar is found to have broader coverage of accounting citations than Scopus or the Web of Science databases, but requires cleaning to remove duplicate entries. The use of the g-index for ranking journals is found to be a useful innovation in citation analysis, allowing a more robust assessment of the impact of journals.