Agricultural Economics最新文献

Incentives in agriculture are highly distorted. It has long been argued that these distortions were a key explanation for differences in supply and productivity across countries, but the empirical evidence is limited. We revisit this issue using data on policy distortions across 63 countries for the period 1961–2011. We estimate the effects of differential changes in agricultural distortions across countries on supply and productivity. We highlight concerns in our analysis and previous work about endogeneity that biases the estimated effect downward—countries that lose comparative advantage are likely to increase support for agriculture. We address these concerns by including country and region-time fixed effects, along with a rich set of controls. Overall, we find evidence that enhanced incentives through policy changes can increase the rate of production growth, with about half of the increase due to productivity increases. This result is strongest in Sub-Saharan Africa where anti-agricultural policies on exports were reduced and in Europe where pro-agricultural policies on imports were reduced, driven largely by external pressure. Endogeneity appears to be strongest in Asia where countries have followed the typical pattern of raising support for agriculture during industrialization due to a rising farm-urban income gap.

Zinc deficiency is a severe public health problem in Bangladesh. We examine the effects of nutritional information on rural consumers’ willingness-to-pay (WTP) for two ways to increase zinc intake through rice, the main staple crop–low-milling that gives rice grains a distinctive light brown color (a visible trait) and sets it apart from the culturally preferred high-milled white rice grain and biofortification of rice with increased zinc content (an invisible trait), which is also low-milled to retain maximum zinc content. Results of our economic experiments suggest that with nutritional information, consumers are willing to pay a premium of 4.6% for zinc biofortified rice compared to non-biofortified rice, when milled at the same level. However, results confirm the strong preference for high-milled rice by Bangladeshi consumers who discounted low-milled rice by 8%–10% even after receiving information on the nutritional benefits of biofortified or low-milled rice. We find that consumers’ WTP for the two high-zinc-low-milled rice types (biofortified and non-biofortified) is positively correlated with being a female, more educated, belonging to households engaged in non-farm activities and with children under 5 years of age. Results point to the importance of nutritional awareness campaigns for increasing zinc biofortified and low-milled rice consumption and guiding the targeting strategy for such campaigns. Given the consumer preference for high-milled rice, this study also points to the need for exploring the rice fortification strategy to address the challenge of malnutrition.

The Kilombero Valley floodplain in Tanzania is a major agricultural area. Government initiatives and projects supported by international funding have long sought to boost productivity. Due to increasing population pressure, smallholder farmers are forced to increase their output. Nevertheless, the level of intensification is still lower than what is considered necessary to increase production and support smallholder livelihoods significantly. This article aims to better understand farmers’ intensification choices and their interdependent determinants. We propose a novel modeling approach for identifying determinants of intensification and their interrelationships by combining a Bayesian belief network (BBN), experimental design, and multivariate regression trees. Our approach complements existing lower-dimensional statistical models by considering uncertainty and providing an easily updatable model structure. The BBN is constructed and calibrated using data from a survey of 304 farm households. Our findings show how the data-driven BBN approach can be used to identify variables that influence farmers’ decision to choose one technique over another. Furthermore, the most important drivers vary widely, depending on the intensification options being considered.