Classical Swine Fever Changes the Way Farmers Value Pigs in South Africa

Although there is growing demand for animal products in Africa, production is stagnating. Appropriate management of livestock diversity could help reinvigorate production, contribute to food security and improve farmers’ livelihoods, particularly in subsistence‐oriented systems. We assess differences in farmers’ preferences and economic values for pig traits across different production systems and across areas that have been affected and unaffected by classical swine fever (CSF). Not surprisingly, market‐oriented farmers derived higher values from the productive traits such as heavy slaughter weight and large litter size found in exotic pig genotypes. Subsistence‐oriented farmers, particularly in swine fever affected areas, placed high value on tolerance to disease. We found that CSF changed farmers’ preferences for adaptive traits, and less so for productive traits. Therefore, indigenous breeds become more valuable for subsistence farmers and crossbreeds for market‐oriented farmers if CSF is a risk. Our results can have implications for breeding and conservation strategies and for compensation strategies after culling, and will become increasingly relevant if, as predicted, heat waves and disease outbreaks become more frequent in pig production systems in South Africa with climate change.     

Valuing animal genetic resources: a choice modeling application to indigenous cattle in Kenya

In an effort to improve productivity and profits, many farmers have replaced traditional livestock breeds with higher yielding alternatives. While such changes may bring about short‐term economic gains, the loss of traditional livestock breeds could result in the loss of an important genetic resource as a variety of important genetic traits adapted to local conditions gradually become less common in the population. This is a particular problem in Africa, where livestock make a substantial contribution to human livelihoods. Using the example of cattle in Kenya's pastoral livestock markets this study uses a choice experiment approach to investigate buyers' preferences for indigenous breeds such as the Maasai Zebu. The analysis employs a latent class approach to characterize heterogeneity in valuations both within and across respondents buying cattle for breeding, slaughter, or resale. The results show that there are at least three classes of buyers with distinct preferences for cattle traits and that most buyers favor exotic rather than indigenous breeds. Such preferences have implications for the conservation of indigenous cattle in Kenya and in other developing countries and suggest that some form of intervention may be required to ensure the preservation of this important animal genetic resource.     

Valuing Traits of Indigenous Cows in Central Ethiopia

This research aimed at identifying and estimating the relative weight assigned to the preferred traits of indigenous cow population in the most dominant crop–livestock mixed production system in Central Ethiopia. A choice experiment approach was employed to elicit the preferences and a random parameters logit model was used to estimate the relative importance of the preferred attributes of indigenous cows. The results show that fertility, disease resistance and calf vigour traits are at least as important as milk. The location the cows are brought from is also an important attribute for buyers. Results from the simulation on the influence of changes in attribute levels showed that fertility and disease resistance affect preferences more than other traits. The findings suggest that the smallholder community in this part of Ethiopia depends on semi‐subsistence agriculture and so livestock development interventions should focus on a multitude of reproductive and adaptive traits that stabilise the herd structure rather than focusing on traits that are only important for commercial purposes.     

The value of plant genetic diversity to resource-poor farmers in Nepal and Vietnam

Genetic resources for food and agriculture are the biological basis of world food and nutrition security; and they directly or indirectly support the livelihoods of over 2.5 billion people. Genetic diversity gives a species or a population the ability to adapt to changing environments. For resource-poor farmers, adaptive animal breeds, crop varieties and cultivars adapted to particular micro-niches, stresses or uses are the main resources available to maintain or increase production and provide a secure livelihood. The economic value of genetic diversity for productivity and yield traits is discussed in the literature. However, it is difficult to value many other aspects of agricultural biodiversity as these have both direct and indirect values in terms of qualitative traits such as food, nutrition and environmental uses that include adaptation to low input conditions, co-adaptive complexes, yield stability and the consequent reduction of risk, specific niche adaptation, and in meeting socio-cultural needs. Together, the direct and indirect values of genetic resources for resource-poor farmers are expressed in a range of options in the form of the crop varieties and species they use for managing changing environments.

The value of genetic diversity to resource-poor farmers is seldom captured by markets or addressed by the international research agenda. This paper presents lessons learned from our work over 5–10 years in the Asia and Pacific Ocean (APO) region on participatory crop improvement, home gardens and on-farm management of agricultural biodiversity. The lessons illustrate how farmers adapt genetic resources to suit local environmental conditions. The paper focuses on the value of genetic diversity of selected crop species to meet people's food and other needs. Genetic diversity valued by resource-poor farmers is often maintained, selected and exchanged by local social seed networks. Identification of such genetic resources and their custodians is important if international agricultural research is to contribute to the reduction of poverty. The paper highlights some good practices from case studies that illustrate how such genetic resources could be exploited by informal research and development strategies or participatory plant breeding or for marketing value-added products.     

Assessing Consumer and Producer Preferences for Animal Welfare Using a Common Elicitation Format

We assess pig farmers’ willingness‐to‐accept (WTA) higher farm animal welfare (FAW) standards and consumers’ willingness‐to‐pay (WTP) for thus enhanced standards. The analysis is based on discrete choice experiments with nearly identical choice sets for both farmers (N=140) and consumers (N=554). Based on preference estimates from a random parameter logit (RPL) model, supply and demand curves for high‐welfare pork in Germany are estimated and market equilibria are derived for alternative levels of FAW. We find that estimates of consumer WTP are significantly positive for all FAW attributes: consumers value more surface space per pig, more bedding and manipulable material, less surgical interventions and shorter transportation times. In contrast, our model revealed significant producer WTA estimates only for surface area per pig and the amount of bedding material on offer, but not for the other FAW attributes. Farmers who expect to continue farming and engage in direct marketing are more likely to adopt higher FAW standards. Male consumers and those who find price more important than brand, origin or taste are less likely to buy high‐welfare pork, as are consumers who never purchase organic meat products. Market simulations for high‐welfare pork indicate increasing divergence between demand and supply with rising FAW standards. We estimate a market share of 44.6% for pork produced in compliance with an entry‐level FAW programme with standards only slightly above the legal minimum. Programmes with more demanding standards are estimated to gain much smaller market shares.     

Factors Affecting Technical Efficiency of Rice Farmers in Village Reservoir Irrigation Systems of Sri Lanka

Given the importance of water for rice production, this study examines the factors affecting the technical efficiency (TE) of irrigated rice farmers in village irrigation systems (VIS) in Sri Lanka. Primary data were collected from 460 rice farmers in the Kurunagala District, Sri Lanka, to estimate a stochastic translog production frontier for rice production. The mean TE of rice farming in village irrigation was found to be 0.72, although 63% of rice farmers exceeded this average. The most influential factors of TE are membership of Farmer Organisations (FOs) and the participatory rate in collective actions organised by FOs. The results suggest that enhancement of co‐operative arrangements of farmers by strengthening the membership of FOs is considered important for increasing TE in rice farming in VIS.     

Integrating Technology Traits and Producer Heterogeneity: A Mixed-Multinomial Model of Genetically Modified Corn Adoption

This article proposes a model of technology adoption that integrates demand for individual traits of new technologies with the potential for heterogeneity based on farm and farmer characteristics. The model is applied to recent genetically modified corn adoption data from Minnesota and Wisconsin farmers, using a mixed-multinomial logit (MMNL) model to estimate the effects of traits and farm and farmer characteristics on adoption outcomes. This approach allows explicit recovery of estimates of farmers' shadow prices for individual technology traits. Results show the importance of producer and regional heterogeneity in preferences for seed traits.     

Toward understanding household preference for consumption characteristics of millet varieties: a case study from western Niger

In this study, we evaluate the preference of consumers in Niger for different tuwo or couscous characteristics using a random utility‐based choice experiment, ordered probit analysis, and tree‐based partitioning. Data were collected through a structured survey administered at four sites. Preferences are estimated for three products (couscous, fermented tuwo, and nonfermented tuwo) made from five pearl millet cutivars. We provide relative valuation for different traits by type of product. Results show that product taste, color, and textural attributes are important, especially for tuwo and couscous. Probit and partitioning results show that taste and color are the first attributes that consumers use to distinguish more preferred millet food products from less preferred millet food products. This should provide some direction for millet breeding programs and food processing of millet.     

Food values and heterogeneous consumer responses to nanotechnology

Agricultural applications of nanotechnology are at a relatively early stage and little is known about consumer responses to the technology. Canadian consumer responses to food nanotechnology are examined through the lens of the Food Value Scale. Data from a survey of Canadian consumers are used to evaluate the relative importance of eleven food values to food purchase decisions. We find that taste, safety, nutrition, and price are among the most important food values to Canadians, however, consumers exhibit considerable heterogeneity with respect to the priority placed on these values. A discrete choice experiment (DCE) explores the effect of food values on choice behavior. The DCE is positioned as a sliced apple product with non-browning and antioxidant-enhanced features introduced through the use of nanocoating or a conventional coating method. Random parameters logit (RPL) and latent class models (LCM) confirm the existence of significant preference heterogeneity. The LCM identifies three classes of consumers: “supporters,” “doubters,” and “opponents” who differ in their reaction to nanotechnology and in the relative importance placed on food values such as naturalness, novelty, and convenience. The analysis shows that food values provide additional insights into consumers’ food choices and their attitudes toward novel food technologies.     

北京市地区畜禽养殖污染总量估算

[目的]随着我国经济的发展,畜禽养殖业发展迅速的同时,日益增加的畜禽粪便排放也带来了生态环境污染问题。北京市由于特殊的经济和政策环境,畜禽产品需求量较大从而畜禽粪便排放量进一步增多,因此必须要加强对于北京畜禽养殖产业污染的防治,为生态环境保护及居民身体健康提供坚实保障。[方法]文章采用随机抽调与实地调研相结合的方式,了解北京市地区主要畜禽养殖情况,进一步使用畜禽养殖主要污染物排放量计算参数估算北京地区畜禽养殖主要污染物排放量。[结果]北京地区多以养殖生猪、牛、肉鸡为主;北京市11个区县产污量较大的3个区依次是顺义区、房山区和平谷区,主要污染物为化学耗氧量和总氮;通过实地调研,发现北京地区畜禽养殖存在以下问题:(1)资金技术欠缺,无法按照要求购买必须的污染防治设备;(2)小型养殖户应对风险能力弱;(3)部分养殖户抱侥幸心理,认为投资污染防治设备没有必要。[结论]加大畜禽养殖污染防治财政补贴力度,鼓励养殖者使用新型排污设备;各个区县主管农业的部门定期组织养殖者进行免费培训;加大扶持力度,促进有机肥市场发展;发挥资金及技术优势,优势互补;引导居民调整饮食结构,倡导健康生活与饮食习惯。     

What Do Farmers Want From Agri‐Environmental Scheme Design? A Choice Experiment Approach

Agri‐environmental schemes (AES) have had a limited effect on European agriculture due to farmers’ reluctance to participate. Information on how farmers react when AES characteristics are modified can be an important input to the design of such policies. This article investigates farmers’ preferences for different design options in a specific AES aimed at encouraging nitrogen fixing crops in marginal dry‐land areas in Spain. We use a choice experiment survey conducted in two regions (Aragón and Andalusia). The analysis employs an error component random parameter logit model allowing for preference heterogeneity and correlation amongst the non‐status quo alternatives. Farmers show a strong preference for maintaining their current management strategies; however, significant savings in cost or increased participation can be obtained by modifying some AES attributes.     

Factors influencing farmers’ participation in contractual biodiversity conservation: a choice experiment with northern Australian pastoralists

Private landholders’ contributions to biodiversity conservation are critical in landscapes with insufficient formal conservation reserves, as is the case in Australia's tropical savannas. This study reports results from a discrete choice experiment conducted with pastoralists and graziers across northern Australia. The experiment was designed to explore the willingness of pastoralists and graziers to sign up to voluntary biodiversity conservation contracts. Understanding preferences for contractual attributes and preference heterogeneity were additional objectives. Such knowledge can increase effectiveness and efficiency of conservation programs by informing contract design, negotiation and administration. Random parameter logit modelling showed that of contract attributes, conservation requirement, stewardship payment, contract duration and flexibility in contract conditions significantly influenced choices. Land productivity was a significant factor as were attitudes. There was significant heterogeneity of preferences for all contract attributes. Models were run for best–worst scaling responses and the first preferences subset, with the latter model deemed superior. Latent class modelling distinguished four classes of decision‐makers and illustrated different decision heuristics. Conservation investment strategies, which offer farmers contract options that meet biodiversity requirements while accommodating heterogeneous attribute preferences, are likely to lead to increased participation rates. Complementary suasion efforts are also required which espouse the benefits that pastoralists derive from biodiversity and participation in voluntary conservation contracts.     

A hedonic approach to estimating the supply of variety attributes of a subsistence crop

The article extends the household hedonic model by estimating a supply function for variety attributes of a subsistence crop in a developing economy. The model is applied to bananas in Uganda, making use of disaggregated data on variety‐specific farm‐gate banana bunch prices and attributes, while accounting for the semisubsistence nature of banana‐producing households. The article is motivated by the need to understand the attribute trade‐offs made by farmers at the farm gate in light of targeted variety improvement efforts and their impact on banana markets. Whether variety improvement will pay off at the market level requires a more detailed examination of the relative worth of banana attributes within the structure of consumer preferences and production technologies related to bananas in Uganda. The results confirm the importance of consumption and production attributes in selling behavior. Quality and bunch size are found to be complements at the farm gate. Banana bunches that capture a premium at the market will be those that provide bundles of desirable consumption and production attributes simultaneously. By revealing important price–attribute relationships, the findings provide guidance for crop improvement efforts and diversification choices, while taking into account implicit market signals for output attributes.     

How Closely Do Hypothetical Surveys and Laboratory Experiments Predict Field Behavior?

We compare the ability of three preference elicitation methods (hypothetical choices, nonhypothetical choices, and nonhypothetical rankings) and three discrete-choice econometric models (the multinomial logit [MNL], the independent availability logit [IAL], and the random parameter logit [RPL]) to predict actual retail shopping behavior in three different product categories (ground beef, wheat flour, and dishwashing liquid). Overall, we find a high level of external validity. Our specific results suggest that the nonhypothetical elicitation approaches, especially the nonhypothetical ranking method, outperformed the hypothetical choice experiment in predicting retail sales. We also find that the RPL can have superior predictive performance, but that the MNL predicts equally well in some circumstances.     

Measuring Heterogeneous Preferences for Cattle Traits among Cattle-Keeping Households in East Africa

This study employs mixed logit and latent class models to examine preferences for cattle traits with a focus on heterogeneity among cattle keepers, using choice experiment data of 506 cattle-keeping households in Kenya and Ethiopia. The findings indicate the existence of preference heterogeneity based on cattle production systems. Highly valued cattle traits for the cropping systems include traction fitness and trypanotolerance, while traits associated with herd increase are considered important in pastoral systems. Considering heterogeneity within population segments provides a framework for adapting breeding policy interventions to specific producer segments, by integrating preferred traits in a breed improvement program.     

Does Intensive Tillage Enhance Productivity and Reduce Risk Exposure? Panel Data Evidence from Smallholders’ Agriculture in Ethiopia

We analyse the impact of intensity of tillage on wheat productivity and risk exposure using panel household‐plot level data from Ethiopia. In order to control for selection bias, we estimate a flexible moment‐based production function using an endogenous switching regression treatment effects model. We find that tillage has a complementary impact on productivity and risk exposure. As the intensity of tillage increases, productivity increases and farmers’ exposure to risk declines. Our results suggest that smallholder farmers use tillage as an ex‐ante risk management strategy. The main policy implication of this study is that the opportunity cost of switching to reduced tillage in wheat production seem rather high unless farmers are supported by appropriate incentive schemes.     

养殖户质量控制行为选择及其影响因素分析

[目的]良好的质量控制行为是保障农产品质量安全的关键。在计划行为理论框架下,利用河北、山东、江苏3省399份蛋鸡养殖户微观调研数据,研究养殖户质量控制行为选择及其影响因素。[方法]文章采用Ordered Logit模型和Logit模型分别分析各因素对养殖户质量控制行为综合指标和各环节单一指标的影响。[结果]现阶段有91.48%的养殖户已(规范)采取农产品质量控制行为;质量控制集中在生产过程和生产环境两个方面;在质量控制行为综合指标下,政府规制、生产标准、市场激励、风险态度、养殖规模和农户能力对养殖户质量控制行为选择具有显著正向影响;在质量控制行为单一指标下,影响各环节质量控制行为的因素存在差异。[结论]畜禽养殖采取全面质量控制行为是必然趋势,应进一步规范养殖户质量控制行为操作流程,普及农产品质量检测技术,完善农业生产与农产品质量安全政策体系。     

Productivity impact of drought tolerant maize varieties under rainfall stress in Malawi: A continuous treatment approach

Drought tolerant (DT) maize varieties have received massive support in sub‐Saharan Africa because of their potential to protect smallholder farmers against drought‐related maize yield losses. Using four waves of household farm panel data from six districts in Malawi, we examine the impact heterogeneity of this technology on maize productivity using a continuous treatment approach. We find strong evidence of positive correlation between maize yield and adoption of DT maize varieties. On average, an increase by one hectare in the area allocated to DT varieties increases maize yield by 547 Kg/ha representing a 44% increase from the average maize yield of 1,254 Kg/ha for our sample. Our findings give evidence that DT maize technology has potential to protect smallholder farmers against drought‐related production losses. Policies that promote increased allocation of maize area to DT maize hold potential to enhance food security. Smallholder farmers especially in drought‐prone areas should be encouraged to allocate at least one‐third of the maize plot to DT varieties while breeders continue with the efforts of breeding a DT variety that is not only drought tolerant but also adapted to all weather conditions. More importantly, the government should ensure provision of timely ex ante weather information to guide farmers on decision‐making with respect to maize varietal choices.