Location and uptake: integrated household and GIS analysis of technology adoption and land use, with application to smallholder dairy farms in Kenya

CIS‐derived measures of location and space have increasingly been used in models of land use and ecology. However, they have made few inroads into the literature on technology adoption in developing countries, which continues to rely mainly on survey‐derived information. Location, with all its dimensions of market access, demographics and agro‐climate, nevertheless remains key to understanding potential for technology use. The measures of location typically used in the adoption literature, such as locational dummy variables that proxy a range of locational factors, now appear relatively crude given the increased availability of more explicit GIs‐derived measures. This paper attempts to demonstrate the usefulness of integrating CIS‐measures into analysis of technology uptake, for better differentiating and understanding locational effects. A set of GIs‐derived measures of market access and agro‐climate are included in a standard household model of technology uptake, applied to smallholder dairy farms in Kenya, using a sample of 3330 geo‐referenced farm households. The three technologies examined are keeping of dairy cattle, planting of specialised fodder, and use of concentrate feed. Logit estimations are conducted that significantly differentiate effects of individual household characteristics from those related to location. The predicted values of the locational variables are then used to make spatial predictions of technology potential. Comparisons are made with estimations based only on survey data, which demonstrate that while overall explanatory power may not improve with CIS‐derived variables, the latter yield more practical interpretations, which is further demonstrated through predictions of technology uptake change with a shift in infrastructure policy. Although requiring large geo‐referenced data sets and high resolution GIS layers, the methodology demonstrates the potential to better unravel the multiple effects of location on farmer decisions on technology and land use.     

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.     

Interaction between crop insurance and technology adoption decisions: The case of wheat farmers in Chile

This paper examines relationships between crop insurance and input technology decisions among Chilean wheat farmers. Using nationwide farm‐level data, a bivariate probit model is estimated. We investigate the extent to which the adoption of production input technologies is associated with farmers’ participation in the insurance program. We find that relationships between insurance and technology decisions are significant only for family farmers. In particular, there is a negative relationship between participation in the insurance program and the adoption of modern irrigation. Interpretations based on the role of input technologies on insurance adoption and adverse selection behaviours are discussed.     

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.     

Adoption of agricultural land management technologies by smallholder farmers in the Jos Plateau,Nigeria

Against a background of growing concern about the adverse effects of agricultural land degradation due to accelerated soil erosion, nutrient depletion and high population pressure, farmers in the Jos Plateau, Nigeria have adopted biological and structural land management practices, though the degree of adoption of such practices varies from one farm household to another. This study, based on a survey of 150 farm households, employed a stepwise multiple linear regression model to analyse the factors significantly influencing the adoption of land management technologies. The results of the analysis revealed four variables, namely, extension service, agricultural labour force, accelerated soil erosion and out-migration, explaining nearly 90% of the variation in the range of land management technologies adopted. The first three of these variables have positive influences on adoption. Extension service appeared to be the strongest, impacting on skills in the agricultural labour force. Policy recommendations are made in line with the findings of the analysis.     

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.     

Access to credit and heterogeneous effects on agricultural technology adoption: Evidence from large rural surveys in Ethiopia

Modern agricultural technologies hold huge potential for increasing productivity and reducing poverty in developing countries. However, adoption levels of these technologies have remained disappointingly low in Africa. This paper analyzes the effect of access to credit on the likelihood of adoption and use intensity of chemical fertilizers using data from large rural surveys in Ethiopia. Using a heteroscedasticity-based identification strategy to address the endogenous nature of access to credit, we find that access to credit has significant positive effects on adoption and intensity of use of chemical fertilizers. However, important heterogeneities are observed. Credit obtained from formal sources is more important for the intensity of use than for the decision to adopt chemical fertilizers. Credit taken with the primary purpose of financing agricultural inputs is more likely to promote adoption of chemical fertilizers than credit taken per se. Furthermore, reported credit effects are larger when estimated against the sample of credit-constrained non-users as compared with the pool of the whole sample of credit non-users. The results remain robust to several sensitivity analyses. Our results yield useful implications for the design, promotion, and targeting of credit services to leverage their effect on adoption of agricultural technologies.     

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.     

Effect of changes in population density and crop productivity on farm households in Malawi

This study examines the ex‐ante farm‐household effects of changes in family size, yield potential, and yield gaps using a farm‐household simulation model that reflects the economic and biophysical conditions of central Malawi. Disparities between growth in human population and crop yields present challenges for farm‐household crop production and income in sub‐Saharan Africa. We focus on the effect of growth in yield potential and a more efficient use of livestock manure as approaches to improving crop production and incomes in the face of looming population pressures. Our results suggest that, even without considering climate change, expected changes in population density and crop prices in 2050 mean that per person crop production and income may fall by 21% compared to 2013 values if yield potential and yield gaps remain constant. However, per person crop production and income could increase in 2050 by 8% compared to 2013 values if (1) growth rates of yield potential rise for maize by 1.13% each year and for legumes rise by at least 0.4% each year, and (2) farmers use livestock manure more efficiently. Our foresight approach to considering crop production at the farm‐household scale supplements macro‐scale analyses of the production dimension of food security.     

Policy, technology, and management strategies for achieving sustainable agricultural intensification

Considerable agreement exists among researchers, development practitioners, and policymakers regarding the goals of sustainable agricultural intensification (SAI). They include: achieving agricultural productivity growth, household food security, and improved rural livelihoods and employment, while simultaneously mitigating environmental degradation. However, the multiplicity of these objectives, as well as the choice of approaches to achieving them and the site‐ and context‐specificity of specific technological and institutional interventions, assures that the research and policy challenges to achieving SAI will remain considerable. This article summarizes the contributions of the articles in this Special Issue in four areas of the literature. First, labor market constraints, the labor intensity of specific agricultural technologies and practices, and labor's substitutability, or complementarity, with other inputs are shown to widely influence their viability and related input efficiencies. Second, the articles identify specific tradeoffs and synergistic relationships that arise in the attainment of these multiple goals stemming from technologies, management practices, and policies introduced under specific agroclimatic, market, and institutional conditions. Third, these papers contribute to the literature on agricultural technology adoption by furnishing additional empirical evidence on the determinants and effects of investment behavior and adoption of specific technologies and management practices. Finally, the articles in this Special Issue emphasize that there is no single policy nor technological, management, or institutional innovation that unambiguously promotes SAI. Preferred policies must be contextualized and sensitive to initial biophysical, market, and institutional conditions.     

Innovation context and technology traits explain heterogeneity across studies of agricultural technology adoption: A meta-analysis

Despite a wealth of case-specific insights from agricultural adoption studies, we lack systematic evidence on which technology characteristics matter for adoption across different innovation contexts. We synthesise the results of 304 quantitative farm-level adoption studies for a wide range of agricultural innovations across more than 60 countries using multi-level meta regression. Our results show that land, capital and knowhow are generally more important when an innovation uses the respective factor intensively, but this effect is reduced in contexts where the factor is abundant. Our findings have implications for the design of rural development and agricultural extension programmes. Both should consider the interplay of geographic context and innovation characteristics to develop more effective sustainable intensification strategies.     

The determinants of technology adoption by UK farmers using Bayesian model averaging: the cases of organic production and computer usage

We review and implement a reversible jump approach to Bayesian model averaging for the Probit model with uncertain regressors. Two applications are investigated. The first is the adoption of organic systems in UK farming, and the second is the influence of farm and farmer characteristics on the use of a computer on the farm. While there is a correspondence between the conclusions we would obtain with and without model averaging results, we find important differences, particularly in smaller samples. Concerning the adoption of an organic system, we find that attitudes to the sustainability of the current system along with the ability of organic farms alone to satisfy society’s needs for food are influential. Additionally, the source of management information used by the farmer has a significant impact. Regarding the adoption of computers, we confirm the findings of previous work that the level of education affects uptake and that age is a factor determining adoption. We also find that dairy and organic farms are more likely to use a computer. The physical size of the farm is positively associated with the probability of computer use while net farm income has a limited impact.     

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.     

The role of knowledge,attitudes and perceptions in the uptake of agricultural and agroforestry innovations among smallholder farmers in sub-Saharan Africa

Despite the great potential of agricultural innovations, the uptake by smallholder farmers in sub-Saharan Africa seems to be slow. We reviewed existing theories and frameworks for the uptake of agricultural innovations and found that these tend to emphasize the role of extrinsic factors such as the characteristics of the adopter and the external environment in the decision-making process. In this paper, we argue that intrinsic factors such as the knowledge, perceptions and attitudes of the potential adopter towards the innovation play a key role, but this has been less studied. We present an analytical framework that combines both extrinsic and intrinsic factors in farmers' decisions to adopt new agricultural technologies and apply the framework to agroforestry adoption as a case study. We review the literature on agroforestry adoption in sub-Saharan Africa and identify the extrinsic and intrinsic variables affecting the uptake of agroforestry technologies. We conclude that the uptake of agricultural technologies is a complex process influenced by both extrinsic and intrinsic variables, and recommend that future studies aiming to understand the adoption process of agricultural innovations take into account both sets of variables. A mechanistic understanding of how intrinsic and extrinsic factors interact and drive adoption can help in targeting technologies appropriately to ensure sustainability.     

Understanding and facilitating sustainable agricultural practice: A comprehensive analysis of adoption behaviour among Malaysian paddy farmers

With the increased stress on sustainability and food security, in addition, the need toward halting environmental deprivation has focused attention on Individual farmers subjectively perceive the attributes of SAP and their subsequent benefits. Qualifying this knowledge is important, but past efforts have largely been unsystematic. This research paradigm purpose is to observe the influence of Malaysian paddy farmer’s adoption intention towards sustainable agriculture.This systematic study assesses the structure of perceived Awareness of sustainable agricultural practices. A convenient sampling technique was used to select the sample. A total of 132 questionnaires was distributed to Malaysian Paddy farmers, around the Malaysian state which was used for data analysis. The result from the structural analysis suggests that the results of confirmatory factor analysis indicate that the most robust. Moreover, technology-aided communication described as moderates the relationships between Attitude, subjective Norm, Perceived behavioral control and intention.Overall, findings of this study extend the understanding, to link noneconomic benefits to profitability to the attribute of relative advantage. Our work represents a guide to assist change agents to evaluate farmer perceptions at different locations systematically. This structured method will help effectively to design and promote sustainable agriculture and other green agricultural innovations. Discussions and implications for Malaysian paddy farmers, limitations, and suggestions for future research are also delivered in the line of this research study.     

Impact of treadle pump irrigation technology on smallholder poverty and food security in Malawi: a case study of Blantyre and Mchinji districts

The Malawi Government has intensified the use of treadle pump irrigation technology in an attempt to increase agricultural production and also to enrich the livelihoods of resource-poor farmers. As a result, the treadle pump is gaining in popularity among smallholder farmers throughout the country. This study was conducted in the districts of Blantyre in the Southern Region and Mchinji in the Central Region of Malawi. A total of 50 treadle pump and 50 non-treadle pump farmers were interviewed in each district to assess the impact of treadle pump irrigation technology with regard to food security and poverty. Gross margin analysis showed that adopters of the technology had higher net farm incomes per hectare (NFIs/ha) than non-adopters per year. In Blantyre, NFI/ha value for adopters was MK122,855 (US$1007) compared with MK15,987 (US$131) for non-adopters under irrigation conditions. Similar results were found in Mchinji with MK51,858 (US$425) and MK16,090 (US$132) for adopters and non-adopters, respectively. Likewise, under rain-fed conditions, adopters had higher NFIs/ha than non-adopters: in Blantyre, the respective NFIs were MK19,497 (US$152) and MK3344 (US$27), whereas in Mchinji the respective values were MK16,896 (US$138) and MK10,084 (US$83). Furthermore, the well-being measurements and analyses of poverty revealed a higher poverty level among non-adopters compared with adopters. The former also had a greater relative risk of falling into deeper poverty than the latter. Transition matrices depicting movement in and out of poverty showed that from 2004 to 2005, some poor adopters moved out of poverty while some non-adopters dropped from being non-poor to poor. No adopter moved from non-poor to poor. From the results, it is concluded that the Government of Malawi should be urged to increase the availability of this kind of technology to the market at a reduced cost by offering tax incentives to local manufacturers and by using an input voucher system to subsidize qualified poor smallholder farmers.     

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.     

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.     

Resource constraints and partial adoption of conservation agriculture by hand-hoe farmers in Mozambique

Conservation agriculture is a set of practices widely promoted to increase agricultural productivity while conserving soil through reduced tillage, mulching and crop rotation. Adoption levels are low across southern Africa and farmers often use only some components on small portions of their land. This study uses in-depth interviews and partial budget analysis to explore adoption of conservation agriculture in Mozambique's Angonia highlands. Farmers described many benefits but there was little sign of adoption beyond plots where non-governmental organizations promoting conservation agriculture had provided inputs. Most farmers were adamant that conservation agriculture could perform better than conventional agriculture only if they applied fertilizer or compost. With current costs and prices, conservation agriculture is unprofitable except on small plots for farmers with low opportunity cost of household labour. These findings suggest that conservation agriculture can improve maize yields but capital and labour constraints limit adoption to small plots in the absence of free or subsidized inputs. Given the current ranges of prices for grain and inputs these manual forms of conservation agriculture will not be adopted on a large scale in Angonia. Nevertheless, small conservation agriculture plots can provide farmers with high yields where constraints are lowest.     

Targeting,bias, and expected impact of complex innovations on developing‐country agriculture: evidence from Malawi

Agronomic analyses of new technologies are often conducted under carefully controlled research station programs or trials managed by self‐selected farmers. Oftentimes, the technologies are then scaled up with minimal evaluation under real‐world conditions. Yet, the interim step between agronomic trials and large‐scale promotion is crucial to generate evidence on the social and economic impact of technologies that is both internally valid and generalizable. The article focuses on a participatory action research program in Malawi designed to test and identify scalable technology options to intensify the smallholder sector and contribute to poverty reduction and food and nutrition security. We examine the socioeconomic characteristics of farmers testing technologies and find evidence of systematic targeting of better‐endowed farmers. After controlling for observable differences using matching and a doubly robust estimator, we find evidence of early positive effects on maize yield and harvest value, although placebo tests suggest possible selection on unobservables. We note that attention should be given to program design and household characterization to better define and improve targeting criteria, technology selection, and external validity.