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To investigate the extent to which disability discourages an individual from going on the job market, using data from an Italian survey.

We use an extended definition of labour force participation based on being employed or currently seeking work even if the persons declare themselves as housewives, students, retired or in any other condition otherwise. We use probit, sequential and multinomial logit models for analysing labour force participation and outcomes. We distinguish between the impact of disability in its strict sense and chronic illness explaining the difference.

In all variants we find that chronic illness is a stronger deterrent for labour force participation than disability. Women are more discouraged compared to men. Intellectual disability is the strongest barrier and hearing the least influential. In a sequential decision-making process, we find that disability affects both labour force participation decision and the ability to be employed but not so much the choice between part-time and full-time.

Policies providing tailored solutions for improved access to education and health care for disabled persons will enhance their work opportunities.

Data set is cross-sectional and characterised by attrition. It would be interesting to compare results with a longitudinal and more representative data set.

We have a unique data set from a survey which was specifically targeted at people who were identified as disabled in a previous survey. The Italian context is also special due to its high legal employment quotas and noncompliance sanctions.

Small-scale farmers in developing countries are undersupplied with capital. Although microfinance institutions (MFIs) have become well established in developing countries, they have not significantly extended their services to farmers. It is generally believed that this is partly due to the riskiness of lending to farmers. The purpose of this paper is to combine original data from a Madagascan MFI with weather data to estimate the effect of rainfall on the repayment performance of loans granted to farmers.

The basis of the empirical analysis is a unique data set of a commercial MFI in Madagascar and weather data provided by the German Meteorological Service. The repayment performance of loans granted to small-scale farmers is estimated using a two-step estimation approach based on linear probability models (LPMs) and a sequential logit model (SLM).

The results reveal that an excessive amount of rain in the harvest period of rice increases the credit risk of loans granted to small-scale farmers in Madagascar. Furthermore, the results confirm that credit features affect the repayment performance of loans.

Since the returns from weather index-based insurance (at least as a future contract) are perfectly correlated with weather events, the authors can set the effect of weather events on the repayment performance of loans equal to the effect of the returns of weather index-based insurance on the repayment performance of loans. Thus, the results imply that weather index-based insurance might have the potential to mitigate a certain part of the risk in agricultural lending.

The focus and results of the present study are very relevant for MFIs, potential providers of weather index-based insurances as well as for farmers. The results confirm that weather events are a primary reason for the risk perception of lenders in developing countries toward small-scale farmers. Future research should, hence, concentrate on the development of index-based insurances in agricultural lending and consider interventions on different levels, e.g., insurance on the farm and the bank level.

To the knowledge, this is the first study that combines original loan repayment data from a Madagascan MFI with weather data in order to estimate the effect of weather events on the repayment performance of loans granted to farmers. Furthermore, to the knowledge, this is the first study that uses a two-step estimation approach based on LPMs and a SLM to investigate the repayment performance in agricultural lending.

This study examines users' information selection strategy on knowledge-sharing platforms from the individual level, peer level and societal level. Though previous literature has explained these three levels separately, few have simultaneously examined their impacts and identified the dominant one according to their effect strengths. The study aims to fill this research gap of the competitions among different levels of information selection mechanisms. Besides, this study also proposes a three-step decision-tree approach to depict the consumption process, including the decision of first-time exposure, the decision of continuous consumption and the decision of feedback behavior participation.

This study analyzed a clickstream dataset of a Chinese information technology blogging site, CSDN.net. Employing a sequential logit model, it examined the impacts of self-level interest similarity, peer-level interest similarity and global popularity simultaneously on each turning point in the consumption process.

The authors’ findings indicate that self-level interest similarity is the most dominant factor influencing users to browse a knowledge-sharing blog, followed by peer-level interest similarity and then global popularity. All three mechanisms have consistent influences on decision-making in continuous information consumption. Surprisingly, the authors find self-level interest similarity negatively influences users to give feedback on knowledge-sharing blogs.

This paper fulfills the research gap of the dominance among three-levels of selection mechanisms. This study's findings not only could contribute to information consumption studies by providing theoretical insights on audience behavior patterns, but also help the industry advance its recommendation algorithm design and improve users' experience satisfaction.

Peer review – The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2020-0475

The purpose of this paper is to investigate household financial choice and the determinants of financial services in rural and urban households in Ghana.

Data from the Ghana Living Standard Survey 5 (GLSS 5) are used to estimate the participation of a household in a particular financial sector and what determines this choice.

The results from Tobit and conditional logit models account for households' demographic characteristics and their financial decisions. The Tobit estimates show that household size, age, sex, marital status, occupation, income, remittances and shocks determine households' participation in the financial markets. Conditional logit model results suggest that locational characteristics are important in obtaining financial services from particular sectors of the financial market. The results also suggest that when the alternatives of financial services are available, rural households are more likely than urban households to obtain their financial services from the informal financial sector.

This current study contributes to the existing literature from the Ghanaian perspective.

Looks at previous research on the differences between multinational corporations (MNCs) and domestic corporations (DCs) and the theories underlying them, relating the ideas to optimal compensation packages for managers. Examines a sample of 724 MNCs and US domestic firms to compare the degree of alignment of their chief executive officer compensation packages and finds that average compensation changes for every $1,000 change in equity value are $33 for DCs and only $12 for MNCs. Analyses further to find out why and suggests that it is due to the higher‐valued investment opportunities of MNCs and differences in their corporate governance structures.

Although the microfinance sector in developing countries has seen an impressive development in recent years, many small-scale farmers in rural areas are still undersupplied with capital. One of the main reasons for this undercapitalization is the exposure to weather risks. Weather index insurance is assumed to bear high potential for accelerating agricultural lending. The index design hereby is of particular importance. The purpose of this paper is to estimate the influence of evapotranspiration and precipitation indices on the credit risk of farmers in Madagascar.

The authors base the analysis on a unique borrower data set provided by a commercial microfinance institution in Madagascar and weather data provided by CelsiusPro. In this context, evapotranspiration and precipitation indices both at aggregated bank level and at branch level are identified and their influence on credit risk of small-scale rice farmers is estimated.

The results show that the weather-related part of the credit risk of farmers can be better explained by an evapotranspiration then by a precipitation index. The precipitation index underestimates the weather influence on credit risk especially during the harvesting season. The results suggest a potential for weather index insurance which is based on an evapotranspiration index. The results are of similar importance for developed and developing countries.

The results suggest that, should insurance be considered as an appropriate risk management instrument for the farmers or the bank, weather index insurance has the potential to mitigate a certain part of the credit risk. The authors also find that the focus on precipitation-based index insurance products would underestimate the weather influence on credit risk. Furthermore, the results suggest that insurance products should be tailored to branches to be most effective.

To the authors’ knowledge, this is the first study that compares the explanatory values of evapotranspiration and precipitation indices in general and for the credit risk of small-scale farmers in particular.

Purpose — A new method of collecting hurricane evacuation data using time-dependent stated choice is developed and evaluated in this study.

Methodology/approach — Hypothetical storms are presented in a video in a sequence of scenarios showing prevailing conditions at discrete points in time as each storm approaches land. Respondents are exposed to nine hypothetical storms representing a range of hurricane characteristics. One of the hypothetical storms is secretly the same as an actual storm the respondents experienced in the past and for which they are required to report their behaviour in a revealed preference survey.

Findings — Stated and actual behaviour was compared and general agreement was found between what people say they would do and what they did. The revealed preference (RP) data was supplemented with time-dependent data from official sources and hurricane evacuation demand models estimated on this enhanced RP data, as well as on a combination of the enhanced RP and time-dependent stated choice (SC) data. When the models were applied to a different data set than the ones on which the models were calibrated, the combined time-dependent RP/SC model performed slightly better than the enhanced RP model. Detailed accounting revealed that time-dependent SC data is 25 percent more expensive to collect than enhanced RP data, although some of this cost may be due to the first-time collection of this type of data.

The purpose of this study is to consider three distinct bodies of literature and uses stakeholder theory as the premise of this study. The first deals with corporate sustainability reporting and voluntary disclosure behaviour, and corporate governance at the firm level, the second deals with the decision to utilize assurance services (voluntary adoption) and the third relates to the choice of auditor/assurance provider.

This study investigates these issues using archival data from some of the Top 200 listed companies in 2010 from the countries Australia and the UK. The final matched-pair sample consists of 220 listed companies.

The study finds that audit client size and the strength of corporate governance structures are significant in explaining the decision to produce a standalone sustainability report. Whereas few of these variables provide any explanatory value on the voluntary decision to assure the sustainability report, the existence of an active and diligent audit committee does have positive significance. Finally, the existence of an active and diligent sustainability committee is significant in explaining the choice of assurance provider where a member of the auditing profession was selected by the firm’s management.

Few studies (if any), have found a link between governance characteristics, sustainability report production, and assurance provider. The current study attempts to address this knowledge gap, and also considers the assurance work by professionals outside the auditing profession, and identifies which governance and firm-level characteristics may explain demand for their assurance services. This current study, assists to understand the low incidence of assurance and what might be necessary to increase demand for this type of assurance.