Information Barriers to Adoption of Agricultural Technologies: Willingness to Pay for Certified Seed of an Open Pollinated Maize Variety in Northern Uganda

We examine smallholder farmers’ willingness to pay for agricultural technology and whether information is a constraint to adoption of certified maize seed in Northern Uganda. The uptake of improved maize varieties by smallholder farmers in Uganda remains persistently low, despite the higher yield potential compared to traditional varieties. A recently growing body of literature identifies information constraints as a potential barrier to adoption of agricultural technologies. We used incentive compatible Becker‐DeGroot‐Marschak auctions to elicit willingness to pay for quality assured improved maize seed by 1,009 smallholder farmers, and conducted a randomised evaluation to test the effect of an information intervention on farmers’ knowledge of seed certification. Our results show that the randomised information treatment enhanced farmers’ knowledge of certified seed. However, using the information treatment as an instrumental variable for knowledge, we find no evidence of a causal effect of knowledge on willingness to pay, suggesting that even though farmers are information constrained, this constraint does not affect adoption of certified seed directly. Nevertheless, only 14% of sampled farmers were willing to pay the market price, which corresponds closely with actual observed demand for certified seed in the previous season. This suggests that there are other barriers to adoption than information and awareness.     

Adoption and diffusion of improved technologies and production practices in agriculture: Insights from a donor-led intervention in Nepal

Adoptions of improved technologies and production practices are important drivers of agricultural development in low-income countries like Nepal. Adopting a broad class of such technologies and practices is often critical for meeting the multifaceted goals of efficiency, profitability, environmental sustainability, and climate resilience. This study aims to address the knowledge gaps that still exist concerning what determines the adoption of improved technologies and production practices, the factors affecting their diffusion, the impact of interventions on productivity and crops grown, and the variability of impact within a particular country context. In this paper we address these questions using data collected as part of the USAID-led Knowledge-Based Integrated Sustainable Agriculture in Nepal (KISAN) project. We adopted a multistage sampling technique and surveyed 988 beneficiary households and 997 non-beneficiary households in KISAN intervention districts and non-intervention districts. Our findings suggest that, in Nepal, adoption of improved technologies and practices is significantly increased by improved access to markets, private sector involvement in selling improved seeds and disseminating information, membership in progressive farmers groups and cooperative societies, participation in agricultural training and farm visits, provision of subsidies for seeds, and access to credit. We also found the probability of the adoption of improved practices to be affected by farmers’ sources of information; for instance, the adoption of improved practices was increased when farmers obtained information from informal sources, cooperatives/farmers organizations, and public and private extension programs. The effects of KISAN projects vary significantly across the different crops grown, based on the evaluation models that address self-selection of both project participation and crop choices. These implications may also apply to other parts of the world facing similar challenges as Nepal, where limited market access, insufficient knowledge and resource capacity of farmers constrain their adoption of improved technologies and practices in agriculture.     

Agricultural technology adoption and child nutrition enhancement: improved maize varieties in rural Ethiopia

Adoption of improved crop varieties can lead to multiple benefits to farm households, including increased productivity, incomes, and food consumption. However, possible impacts of adoption on child nutrition outcomes are rarely explored in the literature. This article helps bridge this gap through an impact assessment of the adoption of improved maize varieties (IMVs) on child nutrition outcomes using a recent household survey from rural Ethiopia. The conceptual linkage between IMV adoption and child nutrition is first established using an agricultural household model. Instrumental variable estimation suggests the overall impacts of adoption on child height‐for‐age and weight‐for‐age z‐scores to be positive and significant. Quantile instrumental variable regressions further reveal that such impacts are largest among children with poorest nutrition outcomes. Finally, by combining a decomposition procedure with system of equations estimation, it is found that the increase in own‐produced maize consumption is the major channel through which IMV adoption affects child nutrition.     

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.     

Adoption of Drought Tolerant Maize Varieties under Rainfall Stress in Malawi

We examine adoption of drought tolerant (DT) maize varieties using a four‐round panel dataset from six districts in Malawi. There is an increase in adoption of DT maize from 3% in 2006 to 43% in 2015 in our data. We focus on the effect of past drought exposure on adoption and the likelihood of DT maize being distributed under the Farm Input Subsidy Programme (FISP). Results show that past exposure to drought increases the probability of DT maize seed being distributed through FISP. Farmers who accessed maize seed subsidy coupons and were previously exposed to late season dry spells are more likely to use the seed subsidy coupon to redeem DT maize seed. The likelihood of adoption and adoption intensity (area under DT maize) are positively influenced by previous early season dry spells and access to seed subsidy. Previous late season droughts also positively affect adoption intensity. On the other hand, area share under DT maize is positively correlated with early season dry spells and past exposure to late season dry spells but negatively related to seed subsidy. FISP in Malawi appears to have stimulated adoption of DT maize directly through subsidy and indirectly through generating farmers’ experiences of the performance of DT varieties under drought conditions.     

Household Determinants of the Adoption of Improved Cassava Varieties using DNA Fingerprinting to Identify Varieties in Farmer Fields: A Case Study in Colombia

We examine factors affecting the adoption of improved cassava varieties of 217 households in the Cauca Department in southwest Colombia. Using DNA fingerprinting through Single Nucleotide Polymorphisms (SNPs), we identified different cultivars in farmers fields. We also used this information to remove possible bias in the adoption model that could have resulted from a misclassification of improved varieties (IVs). As a result, we found that farmers substantially overestimate their use of IVs and there are important differences in the determinants of adoption between farmer self‐identification and DNA fingerprinting. This finding implies that the incorporation of DNA fingerprinting in IV adoption studies is important to ensure the accuracy of future agricultural economic research and the relevance of subsequent policy recommendations.     

A recipe for success? Learning from the rapid adoption of improved chickpea varieties in Ethiopia

Many studies detail constraints deemed responsible for the limited adoption of new technologies among smallholder farmers in sub-Saharan Africa. By contrast, here we study the conditions that led to the remarkably fast spread of improved chickpea varieties in Ethiopia. Within just seven years, the adoption rate rose from 30 to 80% of the farmers. A combination of factors explains the rapid uptake. Their attraction lay in superior returns and disease resistance. Chickpea was already an important crop for rural households in the studied districts, for both cash income and consumption. Good market access and an easy accessibility of extension services advanced the adoption process. Thus, an attractive technology suitable for rural households in a conducive environment enabled adoption. Our findings prompt us to stress the importance of tailoring agricultural innovations to the realities and demands of rural households, and the need to design and deploy interventions on the basis of ex-ante knowledge on factors potentially determining their success or failure.     

Market imperfections,access to information and technology adoption in Uganda: challenges of overcoming multiple constraints

Limited empirical evidence exists on how multiple binding constraints influence the adoption of improved technologies by smallholder farmers. This article uses the case of groundnut variety adoption in Uganda to investigate the role of information, seed supply, and credit constraints in conditioning technology uptake. New data from a household survey in seven groundnut growing districts (n = 945) indicate that 8% of farmers lack information on new varieties, while 18% and 6% of farmers, respectively, cannot adopt mainly due to seed supply and capital constraints. A tobit‐type specification that considers all nonadopters as being uninterested in the technology (i.e., corner solutions) would lead to inconsistent parameter estimates and incorrect conclusions in this context. We therefore estimate a modified multi‐hurdle specification of demand for new varieties, taking into account how information, seed supply, and capital constraints jointly determine adoption probability and intensity. The study reveals new empirical insights on why agricultural technology adoption in Africa has lagged behind: slow uptake is not mainly due to a lack of economic incentives, but rather a reflection of information, seed supply, and credit constraints that prevent farmers from translating their desired demand into adoption of modern varieties. Policy implications are discussed.     

Welfare impacts of maize–pigeonpea intensification in Tanzania

This article examines the driving forces behind farmers’ decisions to adopt improved pigeonpea and maize and estimates the causal impact of technology adoption on household welfare using data obtained from a random cross‐section sample of 613 small‐scale farmers in Tanzania. We use seemingly unrelated and recursive bivariate probit regressions to test the endogeneity and joint decision making of pigeonpea–maize production. A double hurdle model is used to analyze the determinants of the intensity of technology adoption conditional on overcoming seed access constraints. To address the impact of adoption on welfare, the article employs both propensity score matching and switching regression techniques. Results from bivariate probit models show that unobservable factors cause both decisions to be correlated but the finding does not support the conjecture that both decisions are made jointly. Overall the analysis of the determinants of adoption identifies inadequate local supply of seed, access to information, human capital, and access to private productive asset as key constraints for pigeonpea technology adoption. The causal impact estimation from both the propensity score matching and switching regression suggests that maize/pigeonpea adoption has a positive and significant impact on income and consumption expenditure among sample households.     

Oil Palm Expansion among Smallholder Farmers in Sumatra,Indonesia

Many tropical regions are experiencing a rapid growth of oil palm cultivation. In Indonesia, the world's leading palm oil producer, in addition to large companies, smallholder farmers are increasingly engaged in the oil palm sector. Smallholder oil palm cultivation may contribute to income gains and socio‐economic development. However, land‐use decisions by smallholders are not well understood. Without appropriate policies, negative social and environmental consequences can also occur. To improve the knowledge base, we use data about present and past land‐use decisions from a survey of farm households in Sumatra. Employing duration models, we analyse the determinants and dynamics of oil palm adoption among smallholders. We find that independently operating farmers are currently driving growth rates in the oil palm sector. Smallholder adoption decisions are mainly attributable to regional and village level factors. While the current adoption primarily occurs outside of contracts, previous contractual ties between companies and other farmers in the same village play an important role for individual decisions. Beyond initial adoption, we also analyse later expansion decisions. While expanding the oil palm area subsequent to initial adoption is common among all types of adopters, those without previous contracts are found to expand significantly faster. We conclude that the concessions the government has allocated to palm oil companies in the past have initiated oil palm adoption in the small farm sector, but that the ensuing land‐use dynamics are mostly beyond government control. Some wider implications are discussed.     

A Case of Mistaken Identity? Measuring Rates of Improved Seed Adoption in Tanzania Using DNA Fingerprinting

Studies of improved seed adoption in developing countries are almost always based on household surveys and are premised on the assumption that farmers can accurately self-report their use of improved seed varieties. However, recent studies suggest that farmers’ reports of seed varieties planted, or even whether the seed is local or improved, are sometimes inconsistent with the DNA fingerprinting results of those crops. We use household survey data from Tanzania to test the alignment between farmer-reported and DNA-identified maize seed types planted. In the sample, 70% of maize seed observations are correctly reported as local or improved, while 16% are type I errors (falsely reported as improved) and 14% are type II errors (falsely reported as local). Type I errors are more likely to have been sourced from other farmers, rather than formal channels. An analysis of input use, including seed, fertiliser, and labour allocations, reveals that farmers tend to treat improved maize differently, depending on whether they correctly perceive it as improved. This suggests that errors in farmers’ seed type awareness may translate into suboptimal management practices. The average yield of seed that is correctly identified as improved is almost 700 kg per hectare greater than that of type I errors. This indicates that investments in farmers’ access to information, seed labelling, and seed system oversight are needed to complement investments in seed variety development.     

Farmers' Subjective Valuation of Subsistence Crops: The Case of Traditional Maize in Mexico

Shadow prices guide farmers' resource allocations, but for subsistence farmers who grow traditional crops they may bear little relationship with market prices. We theoretically derive shadow prices for a subsistence crop with nonmarket value, then estimate shadow prices of maize using data from a nationally representative survey of rural households in Mexico. Shadow prices are significantly higher than market prices for traditional but not improved maize varieties. They are particularly high in the indigenous areas of southern and southeastern Mexico, indicating large  de facto  incentives to maintain traditional varieties there.     

Technology characteristics,farmers' perceptions and adoption decisions: A Tobit model application in Sierra Leone

The objective of this paper is to test the hypothesis that farmer perceptions of technology-specific characteristics significantly condition technology adoption decisions. Earlier adoption studies have not considered this in the analysis of the determinants of adoption decisions. The omission of farmers' evaluation of technology-specific attributes may bias the results of factors conditioning adoption choices. A Tobit model was used to test this hypothesis using a stratified random sample of 124 mangrove swamp rice farmers in Sierra Leone. The issue investigated is the adoption of improved mangrove swamp rice varieties. The estimated model results show that farmer perceptions of the technology-specific attributes of the varieties are the major factors determining adoption and use intensities. Indicators of adoption determinants traditionally used in adoption-diffusion studies were found not to be important in driving adoption decisions. Therefore, there is need for adoption studies to consider farmers' perceptions of technology-specific attributes in the assessment of technology adoption decisions.     

Optimising seed portfolios to cope ex ante with risks from bad weather: evidence from a recent maize farmer survey in China

Using 4‐year panel data collected from surveying 640 farmers from leading maize producing provinces in China, this study analyses how maize farmers cope with anticipated risks from bad weather by strategically adjusting variety portfolios, with particular interest in farmers' strategies in choosing and combining new and old varieties. While diversification was commonly demonstrated to be an effective means to reduce risk in most previous studies, our empirical results indicate that, in facing anticipated risks from bad weather, Chinese maize farmers tend to use fewer new varieties and allocate more land to old varieties. The lack of knowledge about weather tolerance of new varieties might be the major reason for this practice. As new varieties often have higher yield potential relative to old varieties due to technological progress, this finding suggests that Chinese maize farmers might be trading yield potential against risk reduction from bad weather. Furthermore, this study shows that maize farmers' variety adoption is significantly related to farmers' land conditions as well as their access to credit markets and technique extensions, suggesting that a well‐designed policy intervention could offset or partially offset the anticipation of adverse weather impacts on farmers' variety choices and therefore on maize production.     

ADOPTION OF A LONG-GESTATION CROP: EUCALYPTUS GROWERS IN NORTH-WEST INDIA

A four-village survey was carried out in 1989-90 in western Uttar Pradesh to test three hypotheses about the adoption of a newly introduced tree crop of Eucalyptus. First, Eucalyptus is of relatively long gestation, and is hence inconvenient for small farmers. Second, its adoption entails risk, and is more likely to be adopted by those who come from upper castes, have more assets, and diversified sources of incomes. Third, total labour required for growing Eucalyptus is much less than for seasonal crops, and hence it is preferred by labour-constrained households in general, and non-resident households in particular. The survey supported these hypotheses. Besides the constraint of gestation, small farmers, despite having caught up with large farmers in the adoption of modern seeds technology in agriculture, did not risk adopting Eucalyptus because, with assured irrigation and fertile soils, annual crops provided a more stable income.     

Do farmer,household and farm characteristics influence the adoption of sustainable practices? The evidence from the Republic of Moldova

Drought represents the main constraint on agricultural production in the Republic of Moldova indicating the need to shift from conventional agricultural practices to more sustainable ones. To provide a more comprehensive understanding of the determinants and barriers influencing the adoption of conservation agriculture practices, an analytic framework combining both binary and ordered probit models addressing the potential endogeneity of variables was applied. A survey was conducted among 234 smallholders in three districts in the Republic of Moldova from July to September 2016. The results indicated that the adoption of sustainable practices by small-scale farmers is influenced predominantly by farmer characteristics and by their perception of risk. The findings of this research confirmed that households with lower access to financial resources are less likely to adopt these practices. Consequently, the provision of alternative financing is needed in the promotion of sustainable agriculture practices.     

Adoption and Impacts of Sustainable Agricultural Practices on Maize Yields and Incomes: Evidence from Rural Zambia

This paper uses a multinomial endogenous treatment effects model and data from a sample of over 800 households and 3,000 plots to assess the determinants and impacts of adoption of sustainable agricultural practices (SAPs) on maize yields and household incomes in rural Zambia. Results show that adoption decisions are driven by household and plot level characteristics and that the adoption of a combination of SAPs raises both maize yields and incomes of smallholder farmers. Adoption of improved maize alone has greater impacts on maize yields, but given the high cost of inorganic fertiliser that limits the profitability of adoption of improved maize, greater household incomes are associated rather with a package involving SAPs such as maize–legume rotation and residue retention.     

Variety characteristics and maize adoption in Honduras

This paper summarises research into factors contributing to low levels of adoption of improved maize varieties in Honduras. Empirical analysis was based on an agricultural household model which explicitly incorporates variety characteristics into the household's optimisation process. We considered a multitude of production and consumption characteristics valued by farmers, as well as an array of household socioeconomic characteristics and measures of village‐specific marketing costs. Empirical results indicated that marketing costs and production characteristics are important explanators of variety choice, whereas consumption characteristics are not, and that information deficits may be an important limiting factor to adoption of improved varieties.     

Poverty Reduction Effects of Agricultural Technology Adoption: The Case of Improved Cassava Varieties in Nigeria

We use DNA‐fingerprinting to estimate the poverty reduction effect of adoption of improved cassava varieties in Nigeria. We estimate the counterfactual household income distribution of cassava producers by combining farm‐level treatment effects with a market‐level model. Our results suggest that adoption of improved cassava varieties has led to a 4.6 percentage point reduction in poverty, though this is sensitive to the measurement of adoption status. Therefore, accurate measurement of adoption is crucial for a more credible estimate of the poverty reduction effect of adoption. Our analysis also suggests that farmers who are more likely to be adopters are also likely to face higher structural costs. Addressing structural barriers that make improved technologies less profitable for the poor would therefore be important to increase the poverty reduction effect of improved cassava varieties.     

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.