ON ADAPTATION TO CLIMATE CHANGE AND RISK EXPOSURE IN THE NILE BASIN OF ETHIOPIA

This study investigates the impact of climate change adaptation on farm households’ downside risk exposure (e.g., risk of crop failure) in the Nile Basin of Ethiopia. The analysis relies on a moment-based specification of the stochastic production function. We estimate a simultaneous equations model with endogenous switching to account for the heterogeneity in the decision to adapt or not, and for unobservable characteristics of farmers and their farm. We find that (i) climate change adaptation reduces downside risk exposure, i.e., farm households that implemented climate change adaptation strategies get benefits in terms of a decrease in the risk of crop failure; (ii) farm households that did not adapt would benefit the most in terms of reduction in downside risk exposure from adaptation; and (iii) there are significant differences in downside risk exposure between farm households that did and those that did not adapt to climate change. The analysis also shows that the quasi-option value, that is the value of waiting to gather more information, plays a significant role in farm households’ decision to adapt to climate change. Farmers that are better informed may value less the option to wait to adapt, and so are more likely to adapt than other farmers.adaptation, climate change, endogenous switching, Ethiopia, risk exposure, stochastic production function, skewness, Resource /Energy Economics and Policy, Risk and Uncertainty, D80, Q18, Q54,

On Adaptation to Climate Change and Risk Exposure in the Nile Basin of Ethiopia

This study investigates the impact of climate change adaptation on farm households’ downside risk exposure (e.g., risk of crop failure) in the Nile Basin of Ethiopia. The analysis relies on a moment-based specification of the stochastic production function. We estimate a simultaneous equations model with endogenous switching to account for the heterogeneity in the decision to adapt or not, and for unobservable characteristics of farmers and their farm. We find that (i) climate change adaptation reduces downside risk exposure; farm households that implemented climate change adaptation strategies get benefits in terms of a decrease in the risk of crop failure; (ii) farm households that did not adapt would benefit the most in terms of reduction in downside risk exposure from adaptation; and (iii) there are significant differences in downside risk exposure between farm households that did and those that did not adapt to climate change. The analysis also shows that the quasi-option value, that is the value of waiting to gather more information, plays a significant role in farm households’ decision on whether to adapt to climate change. Farmers that are better informed may value less the option to wait to adapt, and so are more likely to adapt than other farmers.adaptation, climate change, endogenous switching, Ethiopia, risk exposure, stochastic production function, skewness

Adaptation to climate change in Sub-Saharan agriculture: assessing the evidence and rethinking the drivers

In this paper, after a review of the evolution of the literature on climate change economics in agriculture, I present some evidence of the impact of different moments of the distribution of rainfall on farmers risk aversion. It is found that while more rainfall is negatively associated with the probability of observing risk aversion, rainfall variability is positively correlated. This result highlights an important behavioural dimension of climatic factor

Labour Market and Fiscal Policy

This paper investigates the dynamic impacts of rural road improvements on farm productivity and crop choices in Zambia’s Eastern Province. There are several channels through which the feeder road improvements impact on farmers. Our aim is to estimate whether the differential outcomes in the five treatment districts and three control districts generated by the expansion of market agricultural activities among small to medium scale farmers could be explained by rural road improvements that took place after the new Chiluba MMD government in 1995 had completed an IMF rights accumulation programme bringing the principal marketing agent system to an end. Our district-level empirical analysis is an extension to the Brambilla and Porto(2005, 2007) cross-provincial level approach which proposes a dynamic approach accounting for entry and exit into the agricultural cotton sector to avoid biases in the estimates of aggregate productivity, when measuring productivity in agriculture applied to a repeated cross-sections of farm-level data from the Zambian post-harvest survey (PHS). Despite the limitations of the PHS data covering the period from 1996/1997 to 2001/2002 when the Eastern Province Feeder Road Project (EPFRP) was being implemented. The identification strategy relies on differences-in-differences of outcomes (i.e., cotton productivity) approach across two phases (pre-treatment and post-treatment). We use maize productivity to difference out unobserved household and aggregate agricultural year effects. Through our descriptive analysis we do find that changes in land allocation and in yields to Eastern Province’s most important cash crop – cotton did occur at the district level. However, it is difficult to conclude that these changes are linked directly to the improved accessibility obtained from the implementation of the EPFRP based on our differences-in-differences estimator or our Tobit model.Impact evaluation, Cash crop choice; Cotton productivity; Africa; Zambia (Eastern Province).

THE IMPACT OF RISK ON THE INEQUALITY: EVIDENCES FROM THE IRISH AGRICULTURAL SECTOR

Agricultural Finance, Risk and Uncertainty,

Risk Preferences and Voluntary Agri-environmental Schemes: Does Risk Aversion Explain the Uptake of the Rural Environment Protection Scheme?

Environmental Economics and Policy, Risk and Uncertainty,

Interlocking directorates and different power forms: An explorative analysis in the Italian context

The purpose of the present paper is twofold. The first is to update the contribution by Drago et al. (2011) about cross-shareholdings and interlocking directorates in Italian listed companies (FTSE MIB) to 31 December 2016 and to reinforce theory of enlarged collusion. The second is to find how interlocking directorates can contribute to understanding the power structure. By using the social network analysis, we map the network structure of interlocking boards and employ centrality measures like degree, eigenvector and betweenness centrality along with the network density and average degree. We interpret eigenvector centrality as a measure of “effective power” of the connections because it can be seen as a weighted sum of not only direct connections but indirect connections, while betweenness centrality as a measure of “potential power” because it is a proxy of the volume of information that passes through the nodes. In this way, we provide a framework for selecting Italian firms with effective and potential power – around whom interactions and processes can be traced and analysed. In addition, we find that the position assumed by the controlling group of the Mediobanca Galaxy is definitely downsized

Assimilation in the risk preferences of spouses

We use correlations in the risk preferences of spouses as a testbed of whether preferences are socially transmitted, rather than being innate as traditionally assumed in economics. We obtain rich measurements of the risk preferences of cohabiting spouses in the rural Ethiopian highlands. This allows us to use correlation coefficients at the level of the couple in regression analysis. We find a strong correlation between the strength of the correlation in risk preferences within a couple and how long a couple has been married. This provides direct evidence for assimilation in the risk preference of spouses, and thus for social transmission of preferences. Assortative mating appears to be less important

Обзор мирового рынка арсенида галлия

На основе публикаций последних лет рассмотрены изменения рынка арсенида галлия после кризиса 2001 г., предложена периодизация и описаны тенденции развития рынка приборов на его основе, а также состояние российского рынка

Farmer management of production risk on degraded lands: the role of wheat genetic diversity in Tigray Region, Ethiopia

"This paper investigates the effects of wheat genetic diversity and land degradation on risk and agricultural productivity in less favored production environments of a developing agricultural economy. Drawing production data from household survey conducted in the highlands of Ethiopia, we estimate a stochastic production function to evaluate the effects of variety richness, land degradation, and their interaction on the mean and the variance of wheat yield. Ethiopia is a centre of diversity for durum wheat and farmers manage complex variety mixtures on multiple plots. Econometric evidence shows that variety richness increases farm productivity. Variety richness also reduces yield variability but only for high levels of genetic diversity. Simulations with estimated parameters illustrate how planting more diverse durum wheat varieties on multiple plots contributes to improving farmer's welfare." Authors' abstractLand degradation, Wheat production, productivity, Risk, Genetic diversity, Household surveys, Stochastic analysis,