Agricultural Economics (Amsterdam, Netherlands), This paper develops a model of differentiated consumers to examine the consumption effects of genetic modification (GM) under alternative labelling regimes and segregation enforcement scenarios. Analytical results show that if consumers perceive GM products as being different than their traditional counterparts, GM affects consumer welfare and, thus, consumption decisions. When the existence of market imperfections in one or more stages of the supply chain prevents the transmission of cost savings associated with the new technology to consumers, GM results in welfare losses for consumers. The analysis shows that the relative welfare ranking of the `no labelling' and `mandatory labelling' regimes depends on: (i) the level of consumer aversion to GM products; (ii) the size of marketing and segregation costs under mandatory labelling; (iii) the share of the GM product in total production; and (iv) the extent to which GM products are incorrectly labelled as non-GM products.
17 pages., Agriculture can serve as an important engine for economic growth in developing countries, yet yields in these countries have lagged far behind those in developed countries for decades. One potential mechanism for increasing yields is the use of improved agricultural technologies, such
as fertilizers, seeds, and cropping techniques. Public sector programs have attempted to overcome information-related barriers to technological adoption by providing agricultural extension services. While such programs have been widely criticized for their limited scale, sustainability, and impact, the rapid spread of mobile phone coverage in developing countries provides a unique opportunity to facilitate technological adoption via information and communication technology (ICT)-based extension programs. This article outlines the potential mechanisms through which ICT
could facilitate agricultural adoption and the provision of extension services in developing countries. It then reviews existing programs using ICT for agriculture, categorized by the mechanism (voice, text, internet, and mobile money transfers) and the type of services provided. Finally, we identify potential constraints to such programs in terms of design and implementation, and conclude with some recommendations for implementing field-based research on the impact of these programs on farmers’ knowledge, technological adoption, and welfare.
The potential uses of on-farm computers in management and the problems in these uses are analyzed. The analysis is based on a study of present uses of on-farm computers in Sweden. The results are compared with experiences from other countries. On-farm computer owners use almost the same management methods as before the computer investment. The main difference is that they used to hire service organizations to do some of the management tasks and now they are doing it by themselves with the aid of the computer. Thus, the on-farm computer owners have to have the same knowledge level as the service agents and advisers. The use of on-farm computers has so far affected the processing and storage of data for farm management purposes. A potential next step is communication of data from external computer systems at suppliers, customers, advisers and other farmers as well as automated data capture within the farm. One hindrance for this development is the lack of standardization of data and concept definitions. If this potential was realized the marginal costs of data and information would decrease. It would be profitable to use more information in the farm management, i.e. to develop the farm management functions. When farmers develop their management methods they will need still more knowledge. Service agents and advisers would have to change from doing management tasks for farmers to teaching farmers how to do these tasks and supporting farmers in the interpretation and analysis of information.
