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The paper studies the simultaneous effect of formal and informal volunteering on self-perceived individual health across nine European countries while controlling, among other things, for socioeconomic characteristics and social and cultural participation.

This paper employs the 2006 wave of the EU-SILC dataset for estimating recursive trivariate probit models using instrumental variables.

The paper finds that although formal volunteering and informal volunteering are correlated with each other, they have different impacts on health. Formal volunteering is never correlated with higher self-perceived individual health except in the Netherlands. In contrast, informal volunteering is related to lower self-perceived individual health in Austria, Finland, France, the Netherlands, Spain, and Italy.

The first limitation concerns the absence of other measures of volunteering, such as volunteering hours that are not available in the employed dataset. The second limitation is that the dataset collection on social and cultural variables in EU-SILC is cross-sectional while the optimal dataset should be a panel data. The third limitation is that instrumental variables are observed in the same year of declaring self-perceived individual health while the optimal timing would be at least one year before.

Findings of the paper show that formal volunteering has no effect on self-perceived individual health while informal volunteering has negative consequences.

Volunteering is performed because of an individual decision and could be considered a consequence of how social responsibilities are distributed within countries. Our results show that informal volunteering has a negative effect on health; this is likely to depend on how people manage stress coming from performing this altruistic activity. It is likely that a more cautious distribution of social responsibilities could prevent the negative effects of informal volunteering on health.

The originality of the present paper is in simultaneously examining the impact of formal and informal volunteering on self-perceived individual health. Furthermore, most of the existing studies on formal volunteering and health focus on a single country; this paper compares nine European countries characterized by different social, cultural, economic, and institutional features. Finally, the paper addresses the issue of reverse causation.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2017-0548

This paper aims to examine the relationship between the payment of bribes, the access to electricity and the productivity of informal production units (IPUs).

The data used for this study come from the second Survey on Employment and Informal Sector conducted in 2010 by the National Institute of Statistics of Cameroon and representative at the national level. The survey was conducted among 3,560 IPUs. Survey participants reported whether they had been personally affected by corruption in the twelve months preceding the survey. Relying on the data of this survey, the recursive trivariate probit model was used to study the correlation between corruption and access to electricity.

The results reveal that the payment of bribes positively influences IPU access to electricity, and consequently access to this infrastructure has a positive impact on company performance.

A main limitation of this paper is the environment of study in which corruption appeared to be institutionalised. It would therefore be interesting to extend the results obtained by conducting research in other countries and also including other infrastructures such as telecommunications.

The main contribution of this research is to highlight the effectiveness of the fight against corruption and its impact on the access of some basics resources that affect the performance of certain companies. Indeed, the fight against corruption would be easier if economic actors had access to certain resources and fundamental infrastructures for their activities. Thus, improving the supply of resources and infrastructures can be an important lever in the fight against corruption in Africa.

This research addresses a vulnerable sector vis-à-vis the pressure of the actors involved in the provision of a service essential to the activity of companies. It highlights the justification for accepting the use of corruption. Indeed, entrepreneurs are faced with a dilemma between moral standards on the one hand, and economic imperatives on the other. If corruption is a condition of access to electricity which, in turn, improves performance, it is easy to pay bribes to gain access to electricity.

The purpose of this paper is to explore the factors that influence Chinese apple farmers’ willingness to adopt organic farming, paying a special attention to the role of information acquisition.

Given that the selection bias may occur when farmers themselves decide whether or not to acquire the information to understand the essence of organic farming, this study employs a recursive bivariate probit model to address the issue of the selection bias.

The empirical results indicate that farmers’ decision to acquire information is positively affected by farmers’ environmental awareness, access to credit and access to information. In particular, information acquisition appears to increase the likelihood of farmers’ willingness to adopt organic farming by 35.9 percentage points on average.

The findings suggest that measures increasing farmers’ information exposure can be promising policy interventions to induce adoption of organic farming.

While considerable evidence indicates that organic farming provides more benefits than conventional production practice, little is known about farmers’ willingness to adopt in China. This paper provides a first attempt by examining the role of information acquisition in determining Chinese apple farmers’ willingness to adopt.

Japan has been suffering from a decline in the rate of young adults homeownership for a long time. The reduction of the homeownership rate for young adults suggests a delay of tenure transition from renting to owning a home. Such delays further imply that there is insufficient wealth accumulation and a low level of welfare. This paper examines these influences of the credit rationing and the credit rationing impact on the reduction in the young adults’ homeownership rate.

Credit rationing impacts the timing of house purchases and the value of the houses at the same time. This paper estimates these impacts jointly using a simultaneous equation system (minimum distance estimation) and the micro data on Japan.

This paper divides the effect of credit rationing on the timing into direct and indirect effects. The former is the rationing effect on timing, keeping the other variables constant, while the latter is the effect via changes in house values. This paper finds that the indirect effect reduces the rationing effect on the timing by decreasing house values. Furthermore, the results show that credit rationing delays home acquisition by prospective young owners (direct effect) and necessarily lowers the quality of houses they purchase.

In the previous papers, the endogeneity among the variables related to the housing purchase was not addressed. To separate the endogeneity of the timing from the house value, this paper applies the simultaneous equation model. Furthermore, this paper exhibits that there are direct and indirect effects of credit rationing on the timing of housing purchase made by young households. None of the previous papers recognize these two effects.

The purpose of this paper is to investigate the effects of climate smart agriculture knowledge transfers. As well as to examine the application of climate-smart agricultural (CSA) knowledge such as conservation agriculture, irrigation systems, integrated soil fertility management, bioenergy and agroforestry by smallholder farmers in Kenya.

The study applied comparative research methodology to compare climate smart agriculture knowledge application between smallholder participants in farmer field schools (FFS) and no FFS participation. This study used household data from 759 randomly selected rural agricultural households in three counties in Kenya. The study applied multivariate probit model to estimate CSA knowledge application by farmers who participated in field trainings and non-FFS participation farmers.

This study established that climate smart agriculture knowledge transfer through FFS increases farmers’ application of critical aspects of climate smart agriculture knowledge practices such as irrigation system, conservation agriculture and soil and water conservation. Such aspects have been noted as effective interventions against adverse climate change effects such as persistent droughts and flooding and soil infertility. Further findings illustrated that farmers who received CSA knowledge transfers applied agricultural insurance to mitigate rising climatic risks on their farms. Knowledge transfer interventions targeting affordability through subsidizing agricultural insurance are probable and more cost-effective measures that can be used to reduce smallholder farmers’ exposure to climate change-related risks.

This study provides information that was previously unknown about climate smart agriculture knowledge transfers and application among farmers who participated in field trainings and non-FFS participation farmers by using empirical data.

The purpose of this paper is to explore the factors that affect farmer’s decision to allocate credit for livestock production. The results are expected to contribute to the understanding of what motivates smallholders to allocate credit to agricultural production in general and livestock production in particular. A better understanding of the farmers’ behavior in allocating credit for livestock would provide useful information for project implementers and financial institutions that work with small-scale livestock producers.

A cross-section data set collected in 2014 from 5,000 households and 497 rural communities in the major highland regions of Ethiopia is examined. The authors developed a conceptual framework for credit allocation decision. Percentiles, means, and standard deviation as well as t, χ² and Fisher’s exact tests for association and Cramer’s V measure for strength of association have been used to describe the status of farmer’s access to credit and analyze credit utilization, while a three-stage probit model with double sample selection is used to identify factors that affect household’s decision to allocate credit for livestock production.

After controlling for potential selection biases, sex and literacy status of household head, land size, wealth and access to livestock centered extension service are found to have a statistically significant effect on farmers’ decision to allocate credit to livestock production. The results showed female-headed households, wealthy farmers, farmers with small plot of land and farmers that have access to livestock centered extension services are more likely to allocate the credit for livestock production. The results suggest that policies aimed at improving access to credit together with access to livestock focused extension service are more effective in increasing livestock production.

The study’s findings should be viewed with perspective and caution, as only households with excess demand for credit were the subject of the research.

The contribution of this paper is twofold. First, it is one of a very few empirical studies that try to identify factors that affect households credit allocation to livestock in systematic way that removed confounding effects using three-stage probit models. Given the emphasis on financial constraints in livestock development, new empirical insights on household credit allocation are essential to better inform development interventions. Second, the analysis relies on a comprehensive data set that represents the major agricultural system of the country.

This paper evaluates how the first job when individuals entered the labor market affects the probability of youth being currently employed in formal or informal work in Bangladesh.

The analysis is based on data from the ILO School-to-Work Transition Surveys. The authors use a full-information maximum likelihood approach to estimate a two-equation model, which accounts for selection into the labor market when estimating the impact of entry status on current work outcomes. The main equation outcome follows a multinomial distribution thus avoiding a priori assumptions about the level of individual’s utility associated with each work status.

The authors find that entering the labor market in a vulnerable employment position (i.e. contributing family work or self-employment) traps into vulnerable employment and prevents the transition to both informal and, especially, formal paid work. This finding holds when accounting for endogeneity of the entry status and it is valid both in the short and in the long run. Young women are less likely to enter the labor market, and once entered they are less likely to access formal paid wok and more likely to being inactive than young men. Low education anticipates the entry in the labor market, but it is detrimental for future employment prospects.

The findings indicate the presence of labor market segmentation between vulnerable and non-vulnerable employment and suggest the endpoint quality of the school-to-work transition is crucial for later employment prospects of Bangladeshi youth.