Market access by smallholder farmers in Malawi: implications for technology adoption,agricultural productivity and crop income

In Malawi, maize is the major crop and food staple. Given limited off-farm employment opportunities, much-needed increases in household income for improving food security must come from gains in agricultural productivity through better technology and more profitable crops. In the past, hybrid maize and more recently, tobacco were promoted by policy for increasing smallholder income. An analysis of determinants of adoption of these two crops and related income effects is presented. Apart from factor endowment and exposure to agroecological risks, differences in the household's access to financial and commodity markets significantly influence its cropping shares and farm income.     

The economic impact of bean disease resistance research in Honduras

This paper presents evidence of recent adoption rates of disease resistant bean varieties (RVs), the farm‐level benefits of RV adoption, and the ex post rate of return to disease resistant bean research in Honduras. Results from a farm‐level survey in 2001 in the two principal bean‐producing regions of the country show that 41–46% of bean farmers (depending upon the season) have adopted an RV, and that adoption is neutral with respect to farm‐size and market orientation. An expected utility framework was used to estimate the farm‐level benefits of RV adoption, using a combination of experimental trial and farm‐level survey data. Adopters gain the equivalent of 7–16% (depending on the variety) in bean income from the yield loss averted through RV use. The ex post rate of return to disease resistant bean research in Honduras from 1984 to 2010 is 41.2%.     

Gender Levees: Rethinking Women's Land Rights in Northeastern Honduras

In the aftermath of Hurricane Mitch, one woman's impassioned speech linking women's exclusion from land rights with the failings of Honduras' state-led agrarian reform and counter-reform gathered gale force, simultaneously weakening particular levees of gender-bias while constructing others. Post-Hurricane Mitch organizational practices and reconstruction policies in Northeastern Honduras afforded women access to joint property titles and participation. Yet the practices and processes through which women gained new rights reproduced certain exclusionary gender structures and created new barriers to women's participation. These contradictory consequences speak to recent feminist assessments of women's land rights under neo-liberal land titling programmes and a resurgence of policies addressing agrarian reform, and reveal the broader stakes of struggles for women's land rights. In so doing, they underline the importance of attending to spatial connections and historical articulations between the present and the past, and thus the past and the future.     

Adoption of improved maize varieties in the hills of Nepal

Maize (Zea mays L.) is the most important cereal crop in the hills of Nepal, where the grain is used for human consumption and the stover for animal fodder. Maize farms are small, and population pressure necessitates the intensification of existing farming systems. Maize research directed at developing technologies for maize production began in Nepal in 1965. In 2000, a survey was carried out in two districts to determine the current level of adoption of improved maize production practices. In each of these districts, remote and accessible village development committees (VDCs) were surveyed. Questionnaires were administered to 54 randomly selected households in each VDC. A Tobit analysis was used to determine socio‐economic, physical and technology factors that influence the use of improved varieties by farmers. All households use composted farmyard manure, and in the more accessible areas, urea as part of their soil fertility management strategy. Use of improved varieties was less than 60% for all VDCs and only 15% in the most remote VDC. In three of the four VDCs, adoption of improved varieties primarily occurred during the past 5 years. Based on a Tobit analysis, Khet land area, ethnic group, years of fertiliser use, off‐farm income, and contact with extension significantly and positively affected adoption of improved varieties. Farmers in VDCs in central Nepal reported lack of seed to be the major constraint to the adoption of improved varieties, while lack of knowledge of new varieties was the major constraint for farmers in the western VDCs. The results from this survey suggest that the strategy for improving the adoption of new varieties will differ depending on infrastructure and the socio‐economic conditions of the farmers in a given area.     

Consumption risk,farm characteristics,and soil conservation adoption among low-income farmers in the Philippines

This paper investigates patterns of soil conservation adoption among low-income farmers in the Philippines. A model is presented that focuses attention on the role ot assets and consumption risk in conservation adoption decisions. Results Iron, a reduced-form probit model of adoption are reported. These econometric findings indicate that patterns of soil conservation adoption reflect relative risk considerations in addititon farm and household characteristics. Farm size, tenure security, labor availability, and land quality all exhibit a positive association with soil conservation adoption. In contrast, controlling on these and other household characteristics, the probability of adoption falls as consumption risk rises. These results underscore a need for greater sensitivity among policymakers to the role of consumption risk in influencing soil conservation decisions in low-income settings.     

Predicting technology adoption to improve research priority—setting

This paper presents an improved approach for predicting the speed and ceiling of technology adoption, which is a crucial information for research priority setting. In the models it is assumed that both the speed and ceiling of adoption depend on the perceived characteristics of technologies. Knowing the characteristics that have determined adoption in the past provides relevant information about the characteristics which will enable new technologies to be quickly and widely adopted in the future. Using a case study from Meru District in Kenya, it is shown that relative investment, relative risk and relative complexity significantly influenced the speed and ceiling of adoption of dairy technologies in the past. These empirical results are used to predict the speed and ceiling of adoption of potential new dairy technologies to be developed by the Dairy Cattle Research Programme (DCRP) of the Kenya Agricultural Research Institute (KARI). The approach is theoretically sound and based on empirical evidence. It clearly distinguishes promising technologies from less promising technologies and is transparent to participants in priority setting exercises. Allowing for the participation of all interest groups within the research system, the approach improves the quality of the assessment and hence the credibility of results.     

Tradeoffs and complementarities in the adoption of improved seeds,fertilizer, and natural resource management technologies in Kenya

There is widespread consensus that agricultural technology has an important role to play for poverty reduction and sustainable development. There is no consensus, however, about the types of technologies that are best suited for smallholder farmers in Africa. While some consider natural resource management (NRM) technologies as most appropriate, others propagate input intensification with a stronger role of the private sector. In the public debate, these two strategies are often perceived as incompatible. Environmental non‐governmental organizations in particular consider low‐external input strategies as the only sustainable form of agriculture, a view that has considerable influence on policymakers and the international donor community. Most existing research studies on smallholder innovation focus on the adoption of individual technologies, so that comparisons between different types of technologies in the same context are not easily possible. We use representative data from maize‐producing households in Kenya and a multivariate probit model to analyze the adoption of different types of technologies simultaneously. Results indicate that NRM technologies and strategies that build on external inputs are not incompatible. Interesting complementarities exist, which are not yet sufficiently exploited because many organizations promote either one type of technology or the other, but rarely a combination of both.     

Measuring agricultural knowledge and adoption

Understanding the tradeoffs in improving the precision of agricultural measures through survey design is crucial. Yet, standard indicators used to determine program effectiveness may be flawed, and at a differential rate for men and women. We use a household survey from Mozambique to estimate the measurement error from male and female self‐reports of their adoption and knowledge of three practices: intercropping, mulching, and strip tillage. Despite clear differences in human and physical capital, there are no obvious differences in the knowledge, adoption, and error in self‐reporting between men and women. Having received training unanimously lowers knowledge misreports and increases adoption misreports. Other determinants of reporting error differ by gender. Misreporting is positively associated with a greater number of plots for men. Recall decay on measures of knowledge appears prominent among men but not women. Findings from regression and cost‐effectiveness analyses always favor the collection of objective measures of knowledge. Given the lowest rate of accuracy for adoption was around 80%, costlier objective adoption measures are recommended for a subsample in regions with heterogeneous farm sizes.     

Crossbred cow adoption and its correlates: Countable adoption specification search in Sri Lanka's small holder dairy sector

Considerable specification choice confronts countable adoption investigations and there is need to measure, formally, the evidence in favor of competing formulations. This article presents alternative countable adoption specifications—hitherto neglected in the agricultural‐economics literature—and assesses formally their usefulness to practitioners. Reference to the left side of de Finetti's (1937) famous representation theorem motivates Bayesian unification of agricultural adoption studies and facilitates comparisons with conventional binary‐choice specifications. Such comparisons have not previously been considered. The various formulations and the specific techniques are highlighted in an application to crossbred cow adoption in Sri Lanka's small‐holder dairy sector.     

The Economic Impact of Marena’s Investments on Sustainable Agricultural Systems in Honduras

This study examines the economic impact of sustainable agricultural production systems in Central America. In particular, we investigate the impact of investments promoted by the MARENA Programme in Honduras on the total value of agricultural production (TVAP) of its beneficiaries. Propensity Score Matching techniques along with the Difference‐in‐Differences framework are used to mitigate biases stemming from differences in observed as well as unobserved (time‐invariant) characteristics between beneficiaries and a control group. The econometric estimates suggest that MARENA has had a positive and significant effect on the TVAP of beneficiaries. In addition, the analysis shows that, under alternative scenarios, MARENA yielded higher than expected internal rates of return. The results of this study shed light on the response of small‐scale hillside farmers to economic incentives and lend support to the role of natural resource management projects in Central America as a tool to increase household income while also promoting the conservation of natural resources.     

广东省良种补贴绩效分析

本文概述了广东省良种补贴政策的实施情况,对由广东省农业厅和华南农业大学经济管理学院组成的调研组在广东省内韶关、清远、梅州、河源、湛江、茂名共6个市开展的问卷调查进行分析,共回收501份有效问卷。调查结果表明农村务农劳动力中中老年人占绝对主体,农民的受教育程度偏低;农民对良种补贴政策比较满意,对其认知情况良好,希望该政策能够保持且加大力度实行;大多数农民认为良种补贴政策有利于提高自身的种粮积极性和粮食产量,并提高和稳定他们的种植收入。同时,农民也认为良种补贴政策主要存在补贴金额不足和良种补贴品种单一这两个不足之处。     

Farmers' adoption of ecological practices: A systematic literature map

Understanding the factors associated with adoption of ecological farming practices is a well-established topic of interest to agricultural economists. As the transition to more sustainable agriculture has become a policy priority for the European Union, broad and balanced reviews of this literature are important. We develop a systematic map of quantitative observational studies which describes the ecological practice(s) adopted, the frequency of inclusion and significance of a range of independent variables, and how the dependent variable is measured. We also conduct a quality assessment. We find that while socio-demographic variables and farm structural variables are frequently included, they were insignificant more often than they were significant. For behavioural factors we find stronger evidence for the importance of cognitive or attitudinal variables compared to dispositional attitudinal variables. We also find a growing interest in social factors which will be valuable for researchers to explore further and reflect on the policy implications of our findings.     

Factors influencing hybrid rice adoption: a Bangladesh case

As rice constitutes the major share in cereal consumption in South and East Asian countries that ranges from as low as 40 per cent in India to 97 per cent in Myanmar, to ensure food security, governments in these countries are encouraging farmers to adopt hybrid rice. This is mainly because hybrid rice provides a yield gain of 15–20 per cent over conventionally bred varieties in general. Yet, despite strenuous government efforts, farmers’ adoption rates have remained low in India, Bangladesh and Vietnam compared with China. Although studies often claim that higher seed costs and inferior grain quality are the major factors limiting hybrid rice adoption, very few studies examine the importance of socio‐economic factors and infrastructure in the adoption of hybrid rice. Using Bangladesh as a case, a comparative analysis has been made on the adoption of hybrid and modern varieties relative to traditional rice varieties and land allocation to these varieties. Econometric results indicate that general land characteristics, loan facilities and general infrastructure, such as roads, irrigation facilities and the availability of government‐approved seed dealers, significantly influence the adoption of hybrid and modern rice varieties and land allocation to these varieties compared with traditional varieties.     

A stall-feeding management for improved cattle in semiarid central Tanzania: factors influencing adoption

This study's objectives were to determine factors influencing smallholder farmers' adoption of a stall-feeding management system for improved dairy cattle in semiarid Tanzania and other related technology packages, Heckman's two-stage procedure was used to determine factors influencing participation in the project and the adoption of recommended management practices. Stall-feeding technology is Jocularly attractive to those households with fewer resources particularly those that are female headed. Wealthier farmers, as measured by area of land cultivated, are less likely to adopt the stall-feeding technology. Household labour is found to be important in determining the degree to Which the technology and associated management practices were adopted. Age of the household head has a positive impact on the size of the Intensive feed gardens. Different measures of extension-related contact are significant in influencing the potential lor adopting stall-fed technology, the number of stall-fed cattle kept, the probability of growing water melons, and the size of intensive feed gardens. The implications are that research and extension messages with reference to the stall-feeding management system need to be targeted to specific types of households (e.g., female farmers, those with children to provide labor, and limited resource farms). This supports the notion that technology development and dissemination need to be sensitive not only to the characteristics of the biophysical environment but also to the socioeconomic environment, which is often neglected. The study also demonstrates that in the poorer parts of the world where land is very limited, a strategy for improving ecological sustainability can be linked closely to one for increasing agricultural productivity.     

From dogmatic views on conservation agriculture adoption in Zambia towards adapting to context

Conservation Agriculture (CA) has been widely promoted in sub-Saharan Africa (SSA) as a sustainable agricultural practice, yet with debatable success. Most authors assume successful adoption, only if all three principles of CA are implemented: (1) minimum or zero tillage, (2) maintenance of a permanent soil cover, and (3) integration of crop rotations. Based on this strict definition, adoption has declined or remained stagnant. Presently, not much attention has been given to context-suited adaptation possibilities, and partial adoption has not been recognized as an entry point to full adoption. Furthermore, isolated success cases have not been analysed sufficiently. By applying the QAToCA approach based on focus group discussions complemented by semi-structured qualitative expert and farmer interviews, we assessed the reasons behind positive CA adaptation and adoption trends in Zambia. Main reasons behind Zambia’s emerging success are (1) a positive institutional influence, (2) a systematic approach towards CA promotion – encouraging a stepwise adaptation and adoption, and (3) mobilization of strong marketing dynamics around CA. These findings could help to eventually adjust or redesign CA promotion activities. We argue for a careful shift from the ‘dogmatic view’ on adoption of CA as a packaged technology, towards adapting its principles to the small-scale farming context of SSA.     

Social learning and technology adoption: the case of coffee pruning in Peru

A unique natural experiment involving a coffee pruning technology is used to study social learning. The yield effects of pruning take two years to appear, a characteristic that aids in identifying social learning apart from correlated unobservable variables that are a concern in the social learning and technology adoption literature. Panel data are employed that start with a private initiative which introduced systematic pruning in central Peru and that contain the population of participating growers. Results show a jump of at least 0.15 in the probability of adoption two years after the first pruning in a grower's group.     

Risk,learning, and technology adoption

This article explores how decision makers learn and use information, with an application to the adoption of biotechnology in agriculture. The empirical analysis relies on experimental and survey data measuring risk preferences, learning processes, and the adoption of genetically modified (GM) seeds among U.S. grain farmers. While controlling for risk aversion, we link individual learning rules with the cognitive abilities of each decision maker and their actual GM adoption decisions. We find evidence that very few individuals are Bayesian learners, and that the population of farmers is quite heterogeneous in terms of learning rules. This suggests that Bayesian learning (as commonly assumed in the analysis of agricultural technology adoption) is not an appropriate characterization. In addition, we do not find a strong relationship between observed learning styles and the timing of GM seed adoption. To the extent that learning is a key part of the process of technology adoption, this suggests the presence of much unobserved heterogeneity in learning among farmers.     

Understanding the adoption of a portfolio of sustainable intensification practices in eastern and southern Africa

This paper explores smallholder farmers’ adoption decisions of multiple sustainable intensification practices (SIPs) in eastern and southern Africa. We develop a multivariate probit model using plot-level data gathered from maize–legume farming systems in Ethiopia, Kenya, Malawi, and Tanzania. We find that some practices used in maize production are complementary while others are substitutable. The adoption of SIPs is influenced by social capital and networks, quality of extension services, reliance on government support during crop failure, incidence of pests and diseases, resource constraints, tenure security, education, and market access. The results provide insight into the further efforts needed to encourage greater adoption of SIPs.     

Gender and the dynamics of technology adoption: Empirical evidence from a household-level panel data

Very few empirical studies account for the dynamic nature of the agricultural technology adoption decision and none of these explores if this dynamic nature depends on the gender of the decision maker. Using four waves of a household-level Ugandan panel data, this is the first empirical analysis to account for self-learning (one's own adoption experience) in explaining current adoption decision in a developing country context, and the first to study the interaction between self-learning and gender. Technology adoption is defined as adoption of hybrid seed, inorganic fertilizer, or pesticides. Our results indicate that the dynamic panel data Probit model is superior to its static counterpart in the sense that self-learning, captured by lagged technology adoption indicators, is by far the most important determinant of technology adoption. We also find a weaker impact of self-learning for female-headed households than male-headed households. Female-headed households face fewer learning opportunities, which produce a lower self-learning impact in later periods, further exacerbating the gap in technology adoption among male- and female-headed households.