34 pages, A growing body of research lends support to opportunity theory and its variants, but has yet to focus systematically on a number of specific offenses and contexts. Typically, the more crimes and contexts to which a theory applies, the broader its scope and range, respectively, and thus generalizability. In this paper, we focus on agricultural crime victimization— including theft of farm equipment, crops, livestock, and chemicals—an offense that opportunity theory appears well-situated to explain. Specifically, we examine whether key dimensions of the theory are empirically associated with the likelihood of victimization and also examine factors associated with farmers’ use of guardianship measures. In contrast to much previous research, we combine multiple individual-level measures of these dimensions. We conclude that the theory partially accounts for variation in agricultural crime victimization, depending on the type of crime, and that greater work is needed investigating how key dimensions of opportunity theory should be conceptualized and operationalized in rural contexts. The study’s implications for theory and practice are discussed.
Murdock, Graham (author), Petts, Judith (author), and Horlick-Jones, Tom (author)
Format:
Book chapter
Publication Date:
2003
Published:
UK
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Document Number: D07372
Notes:
Pages 156-178 in Nick Pidgeon, Roger E. Kasperson and Paul Slovic (eds.), The social amplification of risk. Cambridge University Press, Cambridge, United Kingdom. 448 pages.
19 pages, Consumers’ perceptions of the terminology used on food production labels may lead to a perceived risk, which influences their grocery shopping decisions. Risk perception is the consumers’ belief that he or she may be exposed to something that is harmful or uncertain. Women are more aware of food labels due to their perceived risk associated with health and the environment. This study used Q methodology to describe a variety of viewpoints related to women’s grocery shopping decisions. Using a Q set of 36 statements, 18 women sorted based on the condition of instruction, “How do you make food decisions?” Factor scores, field notes, and post-sort interviews were used to interpret the arrays as the Frugal Shopper, the Price Conscious Shopper, and the Engaged Shopper. The Frugal Shopper was interpreted to be an economical shopper with little concern for food production methods. The Price Conscious Shopper is concerned for the effect on various production methods, but price is the main priority. The Engaged Shopper is willing to pay higher prices to have more choices when grocery shopping. Improved communication and a deeper understanding of consumers’ perceptions of food labels may help decrease the perceived risk associated with various food production methods.
21 pages, Despite decades of investment in agricultural extension, technology adoption among farmers and agricultural productivity growth in Sub-Saharan Africa remain slow. Among other shortcomings, extension systems often make recommendations that do not account for price risk or spatial heterogeneity in farmers' growing conditions. However, little is known about the effectiveness of extension approaches for nutrient management that consider these issues. We analyze the impact of farmers' access to site-specific nutrient management recommendations and to information on expected returns, provided through a digital decision support tool, for maize production. We implement a randomized controlled trial among smallholders in the maize belt of northern Nigeria. We use three waves of annual panel data to estimate immediate and longer term effects of two different extension treatments: site-specific recommendations with and without complementary information about variability in output prices and expected returns. We find that site-specific nutrient management recommendations improve fertilizer management practices and maize yields but do not necessarily increase fertilizer use. In addition, we find that recommendations that are accompanied by additional information about variability in expected returns induce larger fertilizer investments that persist beyond the first year. However, the magnitudes of these effects are small: we find only incremental increases in investments and net revenues over two treatment years.
