Factors Impacting Food Safety Risk Perceptions

We developed and applied a model of consumer risk perceptions of beef food safety to better understand the underlying drivers of consumer demand for food safety. We show how consumer demographics, country‐of‐residence, as well as reliance on, and trust in, alternative food safety information sources affect risk perceptions of consumers in Canada, Japan and the United States. Consumers in all three countries have risk perceptions shaped by their level of reliance on observable and credence attribute information. Risk perceptions of consumers in each country are significantly higher for those less trusting of doctors. Moreover, personal and indirect food safety experiences substantially affect risk perceptions. These results are useful to decision‐makers in developing more efficient supply chain management strategies and public policies aimed at building or sustaining consumer confidence in food safety.     

The transformation of the Indian agricultural input industry: has it increased agricultural R&D?

Indian agricultural input industries have gone through a major transformation in the last 40 years. State owned firms grew during the Green Revolution and then stagnated or declined. Indian corporations that were protected from foreign competition are now exporters of agricultural tractors and pesticides. Foreign multinational corporations are rapidly increasing their role in the seed, pesticide, and tractor industries. Entry by large Indian firms and multinationals has increased competition in the input industries. Private agribusiness R&D in India grew from $23 million in 1985 to $250 million in 2009 in 2005 US dollars. This is the same time period as a transformation in the agricultural input industry, rapid growth in demand for agricultural inputs, breakthroughs in information technology and biotechnology, and changes in intellectual property rights. An econometric model was used to test whether the transformation of agricultural input industry was a major factor in the growth of R&D expenditure or not. This article analyzes a unique, firm level sales and R&D data set from the seed, pesticide, tractor, and fertilizer industries in 2000–2009. The estimated model indicates that agribusiness firms' R&D expenditures from 2000 to 2009 were positively related to variables associated with industry transformation such as firm size, ownership by multinationals, and declining industry concentration. The model also indicates that strengthening patent policy as well as growth in the size of research‐intensive industries like the seed industry contributed to the growth of agribusiness R&D in India.     

Gender and agricultural productivity: implications of the Farm Input Subsidy Program in Malawi

Alleviating gender differences in agricultural productivity is vital for poverty reduction. While numerous studies suggest that gender differences in agricultural productivity are a result of female farmers having limited access to resources, few studies investigate the role of agricultural interventions in alleviating the constraints to input use and subsequently the gender gap in productivity. This study investigates whether there are gendered gains in agricultural productivity from participating in an input subsidy program and if these gains help reduce the gender gap. Using nationally representative data that is disaggregated at the plot level, this study analyzes the large‐scale voucher‐based Farm Input Subsidy Program in Malawi. Focusing on the total value of output per hectare, relationships are identified using weighted estimators, where the weights are constructed from propensity scores, and spatial fixed effects, to address the unobservable factors that may confound the relationship between program participation and productivity. The findings suggest that participation in the program improves agricultural productivity for both male and female farmers but it does not provide disproportionate help to female famers to overcome gender disparities in agricultural productivity. This suggests that female farmers face additional constraints to productivity apart from nonlabor input use.     

Will cotton make a comeback in Mali?

With the decline of cotton especially in the marginal cotton areas, farmers have been using more of the cotton‐financed inputs on the cereals. The cotton para‐statal company (CMDT) has made a virtue out of this recommending diversification for these regions. Following the world price spike in 2010, the Malian government responded with a substantial price increase for cotton in 2011 of 38% to rejuvenate the Malian sector. This article looks at the impact of this price policy in the cotton economy and the potential of new cereal technology and marketing strategy to raise incomes and facilitate the diversification. Given the importance of the marketing decision of selling later after the recovery of cereal prices from the harvest collapse, a discrete stochastic programming model was developed for three‐stage decision making. Then, the recent changes in the cotton economy and government fertilizer subsidies were analyzed along with the introduction of the new technology marketing of sorghum. Cotton and maize continue to dominate the economy but the combined sorghum technology marketing increases farmers’ incomes by 16% to 21% and eases the return to normal cotton prices, after the 2011 price spike, as well as the removal of the fertilizer subsidies.     

What agricultural and food policies do U.S. consumers prefer? A best–worst scaling approach

Consumer welfare effects from policy changes are traditionally calculated using estimates of consumer preferences for the underlying goods and services affected. This conventional approach is indirect, does not consider preferences people may have for the policies themselves, and makes it difficult to easily compare relative preferability of a large set of policy options. In this paper, we use the best–worst scaling approach to determine consumers’ preferences for 13 policies. A nationwide survey of 1,056 U.S. consumers indicates the highest levels of support for investments in agricultural research and requirements of food and agricultural literacy standards in public education. Fat, calorie, and soda taxes are the least popular; fewer than one-third of respondents are in favor of these three policies.