Risk-matching behavior in microcredit group formation: evidence from northern Ethiopia

Theoretical models on group lending assume the formation of groups of homogenous risk types. Recent theoretical and empirical findings challenge this view arguing that when markets for insurance are missing, risk homogeneity may not hold any more and risk heterogeneity can be the optimal outcome. Using data from an MFI in Tigray (Ethiopia), this article examines the homogeneity hypothesis and reflects on implications for repayment. No evidence is found that supports risk homogeneity, even accounting for matching frictions. However, we also do not find an explicit link between the presence of risk heterogeneity and side-payments due to missing insurance as suggested in the literature. Instead, other trust-based social networks seem to underlie heterogeneity. Such social networks are often synchronized with credit groups and influence the probability of repayment under heterogeneity. The implication is that successful repayment rates in group lending need not arise only under risk homogeneity but can also arise under risk heterogeneity. Heterogeneity may also serve to bridge missing insurance markets in poor rural environments. MFIs therefore need to consider such local conditions when designing their lending schemes.     

Stimulating organic farming via publicly provided services and an auction-based subsidy

Governments generally use a mix of temporary hectare paymentsand provision of public services to stimulate the organic cropsector. In this paper, a conceptual model is developed for determininga socially optimal hectare payment for any given level of publicservices. Farm heterogeneity, due to the variability of soilquality and management skills, is explicitly taken into account.Using an nth price auction mechanism, farmers indicate whattheir reservation subsidy is for a given level of public inputprovision. The results of this auction are used to determinethe government's optimal policy choices.     

Consumers' willingness to buy products with environmental and ethical claims: the roles of social representations and social identity

This study investigates how social representations and consumers' identification with organic food consumers affects intentions to buy products that make environmental and ethical claims. For the purposes of the study, an online panel study was conducted on a representative sample of consumers (n = 1006) in the United Kingdom. The results demonstrate that consumers who are adherent to natural foods or technology and do not perceive food as a necessity are more willing to buy environmentally friendly and ethical products. There seems to be no relationship between perceptions of food as a source of enjoyment and intentions to buy sustainable products. Finally, social identification with the organic consumer is positively related with the intentions to buy products that make environmental and ethical claims. The current research demonstrates that both individual perceptions of food and consumers' perceptions of the social environment play an important role in promoting environmentally friendly and ethical behaviour.     

The effect of information sources on technology adoption and modification decisions

This article focuses on adoption and modification decisions on improved maize storage technologies in southern Benin. Modification implies changing a technology to adapt to farmers' circumstances. A sample selection framework is used to account for selectivity bias as some farmers were not aware of the new technologies. Using this framework, the study investigates the effect of alternative information sources on adoption and modification decisions. Farmers are either informed by extension agents or by other farmers. The empirical results show that there are differences in adoption and modification decisions between these two groups.     

Farmland Preservation Verdicts—Rezoning Agricultural Land in British Columbia

The Agricultural Land Reserve (ALR) in British Columbia (BC), Canada, is a provincial zoning scheme designed to protect agricultural land from development. Since 1973, landowners have not been permitted to use ALR land for nonagricultural purposes, prompting some to seek recovery of development option value by applying for exclusion from the ALR. Using Geographic Information System (GIS) technology and a binary choice (logit) model, this study examines factors that impact the acceptance of ALR exclusion applications. With data from two regions in southwestern BC, we find that applications are more likely to be approved when the land is closer to the major highway, has a smaller parcel size, consists of a smaller portion of the total parcel area, or has poorer quality soils. Therefore, as intended by public policy, agricultural capability is a key determinant in exclusion decisions, retaining properties of greater agricultural value in the ALR. Even though public opinion has suggested otherwise, the political party in power at the time of the decision was only a weak factor, mostly moderated by the number of applications in a given year. A spatial‐effects model found no evidence of spatial autocorrelation, supporting the conclusions drawn from the nonspatial model estimations. La réserve de terres agricoles de la Colombie‐Britannique (ALR), au Canada, est un plan de zonage provincial destinéà protéger les terres agricoles contre le développement urbain. Depuis 1973, les propriétaires fonciers ne peuvent utiliser les terres de la réserve à des fins non agricoles, ce qui incite certains à tenter de récupérer une certaine valeur d’option en faisant une demande d’exclusion. À l’aide de la technologie des systèmes d’information géographique (SIG) et d’un modèle de choix binaire (type logit), nous avons examiné les facteurs qui influencent l’acceptation des demandes d’exclusion. À l’aide de données sur deux régions du sud‐ouest de la Colombie‐Britannique, nous avons observé que les demandes d’exclusion sont plus susceptibles d’être acceptées lorsque les terres sont situées en bordure d’une route importante, sont de petite taille, ne représentent qu’une portion d’une superficie plus grande ou présentent des sols de mauvaise qualité. En conséquence, comme le prévoit la politique du gouvernement, la capacité agricole est un facteur clé dans les décisions d’exclusion qui permet de conserver les propriétés de grande valeur agricole dans la réserve. Bien que l’opinion publique indique le contraire, le parti politique au pouvoir au moment de la décision ne constituait qu’un faible facteur, principalement réduit par le nombre de demandes au cours d’une année donnée. Un modèle d’effets spatiaux n’a pas réussi à montrer l’existence d’une autocorrélation spatiale appuyant les conclusions tirées des estimations du modèle non spatial.     

Demand for Wildlife Hunting in British Columbia

We present estimates of the demand for hunting licenses by residents and nonresidents in British Columbia for the period 1971–2000. We obtain estimates of both short-run and long-run price elasticities and discuss their revenue implications for future fee increases. We find the demand by nonresidents to be strongly correlated with U.S. income variation over the business cycle, but find no such role for cyclical income variation for resident hunters. The ability of the government to increase revenues from resident hunters turns out to be limited, particularly in the long run, while greater opportunities exist for raising revenues from U.S. hunters as short- and long-run price elasticities of demand are quite inelastic. We argue that conservation surcharges on foreign hunters are one way of capturing more of the resource rent.     

An empirical welfare approach to regional income distributions: Alternative specifications and estimates of income inequality measures

The paper attempts to develop a welfare theoretical approach to the analysis and comparison of regional income differences. Three types of alternative methods are discussed, viz. (a) an a priori method of inserting parameter values in a prespecified welfare function, (b) an ex post method of deriving parameter values of a welfare function on the basis of income statistics and (c) a canonical correlation analysis on the basis of a set of underlying explanatory variables. All these three methods are used to define an income inequality measure appropriate for interregional comparisons. The methods employed are illustrated by means of empirical applications to regional income statistics in the Netherlands.