Estimating returns to soil conservation adoption in the northern Ethiopian highlands

Land degradation in the form of soil erosion and nutrient depletion presents a threat to food security and sustainability of agricultural production in many developing countries. Governments and development agencies have invested substantial resources to promote soil conservation practices as part of an effort to improve environmental conditions and reduce poverty. However, limited rigorous empirical work has been done on the economics of soil conservation technology adoption. This article investigates the impact of stone bunds on value of crop production per hectare in low and high rainfall areas of the Ethiopian highlands using cross-sectional data from more than 900 households, with multiple plots per household. We have used modified random effects models, stochastic dominance analysis (SDA), and matching methods to ensure robustness. The parametric regression and SDA estimates are based on matched observations obtained from the nearest neighbor matching using propensity score estimates. This is important, because conventional regression and SDA estimates are obtained without ensuring that there actually exist comparable conserved and nonconserved plots on the distribution of covariates. We use matching methods, random effects, and Mundlak's approach to control selection and endogeneity bias that may arise due to correlation of unobserved heterogeneity and observed explanatory variables.
We find that the three methods tell a consistent story. Plots with stone bunds are more productive than those without such technologies in semi-arid areas but not in higher rainfall areas, apparently because the moisture conserving benefits of this technology are more beneficial in drier areas. This implies that the performance of stone bunds varies by agro-ecology type, suggesting the need for designing and implementing appropriate site-specific technologies.     

Evaluating the Potential of Index Insurance Schemes to Reduce Crop Yield Risk in an Arid Region

We evaluate yield risk reduction through weather index, area yield index and farm yield insurance contracts for wheat farms in Kazakhstan by employing data from 1980 to 2002. We use the usual mean variance (MV) approach and also a second‐degree stochastic dominance (SSD) criterion. While MV is not necessarily consistent with the expected utility (EU) theory, SSD results only in a minimum but EU‐consistent benefit from insuring. Differences in the estimation results for both approaches underline the advantage of applying both criteria to analyse the risk‐reducing potential of crop insurance. Bootstrapping results show that none of the analysed insurance schemes provides statistically significant risk reduction for every single farm. In addition, weather‐based index insurance is found to provide less risk reduction than area yield insurance based on the rayon (county) yield. Moreover, rayon yield index insurance can reduce yield risk more effectively for Kazakhstan's wheat producers than farm yield insurance with a low strike yield.     

A dynamic perspective on minimum quality standards under Cournot competition

Imposing a minimum quality standard (MQS) is conventionally regarded as harmful if firms compete in quantities. This, however, ignores its possible dynamic effects. We show that an MQS can hinder collusion, resulting in dynamic welfare gains that reduce and may outweigh the static losses which are caused by regulation’s distortive effect on equilibrium qualities.     

HIGH AND LOW BIDS IN TENDERS: STRATEGIC PRICING AND OTHER BIDDING BEHAVIOUR IN PUBLIC TENDERS OF PASSENGER RAILWAY SERVICES

ABSTRACT ** :  An important component in the deregulation of the public sector in the European Union is public procurement of services and products. This article studies the bidding behaviour of firms participating in public tenders of passenger railway services in Sweden. In a theoretical part of the article we discuss the various possible reasons behind high and low bids in tenders, linked to a discussion on pricing strategies and continuous and discontinuous economies of scale regarding costs of production. Detailed data on bids and bidders in Swedish tenders of railway services are then analyzed. 37 tenders taking place between 1989 and 2005 are included.     

Citizens' support for Economic Reforms in Sub‐Saharan Africa

The objective of this paper is to investigate the factors that influence citizens' support for costly economic reforms in sub‐Saharan Africa. This is relevant for several reasons, but the most obvious perhaps is that economic reform will be difficult if faced by strong resistance from citizens. In this paper, individual data from Round 4 of the Afrobarometer surveys is used to investigate how support for economic reforms is influenced by factors falling under the following broad categories: (i) Economic variables; (ii) group identity and fairness variables; (iii) Institutional and state/government variables; (iv) Demographic and control variables. An individual's trust in the president and the belief that the government manages the economy well are two of the most significant and robust factors. This is in keeping with the results found in Williamson (The Political Economy of Policy Reform, Institute for International Economics, Washington, DC, 1994 ). Another robustly significant variable is satisfaction with how democracy works in the country. Variables related to ethnic identity and community membership also play a significant role in support for costly economic reforms, which is in line with the theories put forward by van de Walle (African Economies and the Politics of Permanent Crisis, 1979–1999. Cambridge University Press, New York, 2001 ). Females are less likely to support economic reforms, while individuals with higher levels of education are more likely to support economic reforms.