Estimating the Impact of Climate Change on Agriculture in Low-Income Countries: Household Level Evidence from the Nile Basin, Ethiopia

This paper presents an empirical analysis of the impact of climate change on agriculture in a typical developing country. The economic implications of climate change are estimated by using both a farm productivity and a Ricardian framework. Data are drawn from about 1,000 farms producing cereal crops in the Nile Basin of Ethiopia. The thin plate spline method of spatial interpolation was used to predict household specific rainfall and temperature values using meteorological station data collected for 30?years across the regions. We found that climate change adaptation has a significant impact on both farm productivity and farm net revenues. We complement the analysis by providing an estimation of the determinants of adaptation. Extension services (both formal and farmer to farmer), as well as access to credit and information on future climate changes are key drivers of adaptation.     

Becoming a preferred customer one step at a time

A preferred customer is a buying organization who receives better treatment than other customers from a supplier, in terms of product quality and availability, support in the sourcing process, delivery or/and prices. The decision to become a preferred customer implies a continuous commitment by the purchaser to a complex, expensive and often uncertain process. It is important to use a strategic approach, as well as appropriate tactics. Based on well-known models on the development of buyer-supplier relationship, on customer portfolio analysis and on the emergent literature in customer attractiveness and preferred customer status, we suggest four steps to become – and remain – a preferred customer: initial attraction, performance, engagement and sustainability. The process takes the perspective of a buyer willing to obtain the preferential status and focuses on the strategies and tactics that could influence the supplier's decision of granting this status. The proposed process considers that the supplier is continuously comparing the value offered by the customer to its expectations, and to the value offered by other customer relationships.     

Combining backcasting and adaptive management for climate adaptation in coastal regions: A methodology and a South African case study

Developing adaptation strategies for deltaic and coastal regions is a major challenge, due to future uncertainties of climate change and complexity of the social–ecological systems to be managed. This paper investigates how desirable futures or normative scenarios approaches, in particular backcasting, can be used to develop more robust climate strategies in coastal regions. The paper develops a methodology in which participatory backcasting and adaptive management are combined, and its applicability is demonstrated for the Breede–Overberg coastal region in South Africa where a catchment management strategy has been developed. It is concluded that the methodology offers an adequate framework for developing and implementing long-term climate adaptation strategies and policies, including a transition management scheme for intermediate assessments.     

Common information asymmetry factors in syndicated loan structures

This paper provides a comprehensive study of the syndicate structure and its relationship to information asymmetry and loan spread by using principal component analysis on a large set of 40 structure-related variables. A total of six structure components are identified and related to syndicate quality, syndicate members’ heterogeneity or share concentration, lead arranger’s characteristics, lead lender’s or syndicate’s location, lender–borrower relationships, and lead institution type. In multivariate settings, all six components are significant determinants of loan spread, either directly or indirectly through their impact on other components. Lead share retention, previous lender–borrower relationships and syndicate quality are shown to be bilaterally related to loan spread. Structure components differ regionally, which can provide an explanation for the European pricing discount observed in the literature. An Asian discount is observed and cannot be explained by structure differences.     

The poor outside the lamplight: on the prevalence of poverty among population groups not included in household surveys

Poverty rate calculations are often based on household surveys that exclude some of the groups most vulnerable to poverty such as the homeless. This paper documents the nature of the excluded groups and the quantitative importance of their omission for the Czech Republic. Our study combines European Union Statistics on Income and Living Conditions data for 2011 with information from the 2011 Population Census. Our preferred estimate indicates an increase in the poverty rate by almost one percentage point. The paper contributes to accurately identifying the most vulnerable members of the society, which is essential for setting effective social policies.     

COVID-19 Is Transforming Economic Policy in the United States

Intereconomics - Cutbacks in government spending slowed the recovery and led to lasting damage to workers and economic growth.     

The role of psychological and socio-demographical factors for electric bike use in Norway

The electric bike (e-bike) is emerging as a new sustainable transport mode in Norway and has the potential to lead to increased cycling among the population. However, little is known about psychosocial determinants of e-bike use. The aim of the study was to examine the role of normative and environmental beliefs, the perceived attributes of e-bikes, and innovativeness and demographical factors related to e-bike use in a Norwegian sample. An online survey was used to collect data from 910 respondents, including both e-bike users (252) and non-users (658). The respondents were recruited via a commercial panel (response rate 42.04%) and a Facebook post. A structural equation modeling analysis was used to analyze the data. The structural model had a good fit to the data. The results showed that attitudes towards e-bike use followed by innovativeness were the most important predictors of e-bike use. The normative processes measured within the Norm Activation Model activated positive attitudes towards e-bike use, which in turn predicted e-bike use. There was a negative relationship between e-bike and conventional bike use, while a positive relationship was found between car and e-bike use. The results are discussed with regard to their implications for interventions aiming to promote e-bike use.     

Extrinsic and intrinsic food product attributes in consumer and sensory research: literature review and quantification of the findings

Management Review Quarterly - As recent years have seen a growing interest in integrating consumer and sensory science, this paper aims at presenting a systematic literature review of empirical...     

Shapley and Scarf housing markets with consumption externalities

We introduce externalities into the classical model by Shapley and Scarf; that is, agents care about others and their preferences are defined over allocations rather than over single indivisible goods. After collecting some results about the nonexistence of several cooperative solutions, we focus on stable allocations and propose domains of preferences that can guarantee that they both exist and form a stable set à la von Neumann and Morgenstern.     

A Real Chance for the Transatlantic Partnership on Climate Policy

Intereconomics - The new transatlantic partnership can be the cornerstone of this change: real climate protection without false truths and hidden smoke bombs, but a shift to a full supply of...