Impact Assessment: Organic Cotton in Jalalabad, Oblast, Kyrgyztan

The aim of the study was to examine the economic performance as well as perceived social and environmental impacts of organic cotton in Southern Kyrgyzstan on the basis of a comparative field study (44 certified organic farmers and 33 conventional farmers) carried out in 2009. It also investigated farmers’ motivation for and assessment of conversion to organic farming. Cotton yields on organic farms were found to be 10% lower whereby input costs per unit were 42% lower, which resulted in organic farmers having a 20% higher revenue from cotton. Due to lower input costs and organic and fair trade price premiums the average gross margin from organic cotton was 27%. In addition to direct economic benefits organic farmers enjoy a number of additional benefits such as easy access to credits on favourable terms, provision with uncontaminated cotton cooking oil and seed cake as animal feed, marketing support as well as extension and training, services provided by the newly established organic service provider. A big majority of organic farmers perceives an improvement of soil qualities, improved health conditions, and positively assesses their previous decision to convert to organic farming. The major disadvantage of organic farming is the high manual labour input required. In the study area, where manual farm work is mainly women’s work and male labour migration widespread, women are most affected by this negative aspect of organic farming. Altogether, the results suggest that despite the inconvenience of higher work load the advantages of organic farming outweigh the disadvantages and that conversion to organic farming can improve the livelihoods of small-scale farmers.

A Preliminary Impact Assessment of Doha Round Results on Agricultural Policies in Turkey

Turkish agriculture has been experiencing a period of unique policy experiment over the last couple years. A World Bank-initiated project, called the Agricultural Reform Implementation Project (ARIP), has been at the forefront of policy change. It was initially promoted by the Bank as an exemplary reform package which could also be adopted by other developing countries. It was introduced in 2001 as part of a major International Monetary Fund (IMF)/World Bank-imposed program of “structural adjustment” after the country had been hit by a major financial crisis. The project has finally come to an end in 2009, and there is now an urgent need for a retrospective assessment of its overall impact on the agricultural sector. Has it fulfilled its ambitious objective of reforming and restructuring Turkish agriculture? Or should it be recorded as a failure of the neo-liberal doctrine? This book aims at finding answers to these questions by investigating the legacy of ARIP from a multi-disciplinary perspective.

Management of Joint Research Activities within ERA-ARD: Guidelines for ARD programme planning, monitoring, evaluation and impact assessment

The present document has been elaborated in the context of the ERA-ARD project “The Agricultural Research for Development (ARD) dimension of the European Research Area (ERA) “. It is based on work done within Task 3.2 to identify a set of common or compatible methodologies for ARD planning, monitoring and evaluation and impact assessment. This set should serve as a guide for the management of joint ARD activities that are presently developed within the framework of the ERA-ARD project.

Prediction of residential radon exposure of the whole Swiss population: comparison of model-based predictions with measurement-based predictions

Radon plays an important role for human exposure to natural sources of ionizing radiation. The aim of this article is to compare two approaches to estimate mean radon exposure in the Swiss population: model-based predictions at individual level and measurement-based predictions based on measurements aggregated at municipality level. A nationwide model was used to predict radon levels in each household and for each individual based on the corresponding tectonic unit, building age, building type, soil texture, degree of urbanization, and floor. Measurement-based predictions were carried out within a health impact assessment on residential radon and lung cancer. Mean measured radon levels were corrected for the average floor distribution and weighted with population size of each municipality. Model-based predictions yielded a mean radon exposure of the Swiss population of 84.1 Bq/m(3) . Measurement-based predictions yielded an average exposure of 78 Bq/m(3) . This study demonstrates that the model- and the measurement-based predictions provided similar results. The advantage of the measurement-based approach is its simplicity, which is sufficient for assessing exposure distribution in a population. The model-based approach allows predicting radon levels at specific sites, which is needed in an epidemiological study, and the results do not depend on how the measurement sites have been selected.