Tenure security, resource poverty, public programs, and household plot-level conservation investments in the highlands of northern Ethiopia

Land degradation poses a serious problem for the livelihoods of rural producers. Furthermore, there is rarely enough private investment taking place to commensurate the scale of the problem. This article examines the role of tenure insecurity, resource poverty, risk and time preferences, and community‐led land conservation on differentiated patterns of household investment in land conservation in northern Ethiopia. We control for biophysical, household characteristics, market access conditions, and village level factors. Investments in soil bunds and stone terraces are specifically studied so as to capture the link between these various factors and the durability of conservation investments. We introduce the distinction between the determinants of the decision to invest and how much to invest in conservation. Regression results show that publicly led conservation programs seem to significantly stimulate private investment. A host of plot‐level variables and household perceptions of returns on conservation investments, expressed in terms of perceived improvements in land quality and increased crop yields, were found to be critical to the decision to invest and intensify soil conservation. The evidence on the significance of households' attitudes toward risk aversion suggests the important role of risk and the household's risk‐bearing capacity in the decision to intensify conservation measures. At the same time, tenure security indicators and households' resource endowments (resource poverty) had weaker effects in increasing willingness to invest and the level of investment made. The policy implications of these results point to the importance of agricultural research and extension efforts that target technologies which reduce household risk and poverty while enabling sustainable investments in conservation measures by individual households.     

Household adoption behaviour of improved soil conservation: the case of the North Pare and West Usambara Mountains of Tanzania

The mountains in the northeastern part of Tanzania have been experiencing declining soil fertility and severe soil erosion due to increased cultivation and other factors attributed to population pressure. This study gives the main results of an analysis of household adoption behaviour towards the use of improved soil conservation measures. An interdisciplinary analytical framework for analyzing household adoption behaviour is presented. The framework links three components of the adoption decision process: the perception of the erosion problem, the decision to use improved conservation measures and the level of investment or effort devoted to soil conservation among adopters. Data collected from a random sample of 300 heads of households was used to estimate logit models of perception of the erosion problem and of adoption of improved conservation measures, and a Poisson regression model of effort devoted to conservation. The results show that participation in promotional activities of soil and water conservation (SWC) programmes influences the adoption decision process at all three stages. Also, ranking of soil erosion as the priority problem in agricultural production, participation in labour-sharing groups and having off-farm income influence the willingness and ability to use improved soil conservation technologies and the level of soil conservation effort.     

Modeling the impact of technological change on nutrition and marketed surplus

This study develops and demonstrates procedures for modeling the impact of agricultural technology adoption decisions on consumption and nutrition in a subsistence‐farming context. The method is based on expected direct utility maximization (EDUM) formulation and incorporates subsistence quantities for broad aggregates of protein, calories, and other consumption goods. The method is applied to a hillside farming system of southern Honduras where new sorghum cultivars and erosion control techniques are being introduced. The expected direct utility maximization model allows the estimation of the effects of new technology on consumption and marketed surplus in situations where marginal values of products vary by state of nature and are affected by consumption and production choices. The introduction of the new technologies in southern Honduras results in improved nutrition and substantial increases in marketed surplus. These effects are due to simultaneous changes in output and consumption patterns. This work extends the subject of household modeling to problems with risk, and thus complements prior work in both the integrated analysis of production/consumption decisions and stochastic decision analysis.     

Resource degradation and adoption of land conservation technologies in the Ethiopian Highlands: A case study in Andit Tid,North Shewa

This paper reports results from a study of resource degradation and conservation behavior of peasant households in a degraded part of the Ethiopian highlands. Peasant households' choice of conservation technologies is modeled as a two-stage process: recognition of the erosion problem, and adoption and level of use of control practices. An ordinal logit model is used to explain parcel-level perception of the threat of the erosion problem and the extent of use of conservation practices. Results show the importance of perception of the threat of soil erosion, household, land and farm characteristics; perception of technology-specific attributes, and land quality differentials in shaping conservation decisions of peasants. Furthermore, where poverty is widespread and appropriate support policies are lacking, results indicate that population pressure per se is unable to encourage sustainable land use. The challenge of breaking the poverty-environment trap and initiating sustainable intensification thus require policy incentives and technologies that confer short-term benefits to the poor while conserving the resource base.     

Sustainable agricultural intensification: the role of cardamom agroforestry in the East Usambaras,Tanzania

The East Usambaras in Tanzania are a tropical biodiversity hotspot where current agricultural management practices pose threats to forest conservation and development objectives. Promoting sustainable agricultural intensification (SAI) would improve long-term productivity and reduce pressure on forest reserves. The study objective was to identify household-level characteristics that influence adoption of improved management practices, specifically soil replenishment practices, in order to identify opportunities and constraints to scaling up SAI to landscape level. First, three common farming systems and a fourth agroforestry (AF) model were developed to estimate the relative profitability of incorporating fallow, manure, and non-timber forest product activities. Next, household surveys were conducted and a logistic regression analysis was used to measure the influence of socioeconomic characteristics, physical and financial assets, tenure security, and plot-specific attributes on adoption of soil replenishment practices that were specified in the model. Findings showed that the AF model was financially competitive but raises opportunity costs to labour when compared to common systems. Marital status, household size, remittances, credit access, and tenure security significantly influenced adoption of fallow and applying organic inputs. Significant plot-specific attributes included perceived fertility and distance from the homestead. Policies to scale up SAI should consider these factors and emphasize improving markets for AF species and extension services.     

Adoption of climate‐smart practices and its impact on farm performance and risk exposure among smallholder farmers in Ghana

Increased climate variability during the last four decades has made the agricultural environment in many developing countries more uncertain, resulting in increasing exposure to risk when producing crops. In this study, we use recent farm‐level data from Ghana to examine the drivers of individual and joint adoption of crop choice and soil and water conservation practices, and how adoption of these practices impacts on farm performance (crop revenue) and exposure to risks (skewness of crop yield). We employ a multinomial endogenous switching regression model to account for selectivity bias due to both observable and unobservable factors. The empirical results reveal that farmers’ adoption of crop choice and soil and water conservation leads to higher crop revenues and reduced riskiness in crop production, with the largest impact on crop revenues coming from joint adoption. The findings also show that education of the household head, access to extension and weather information influence the likelihood of adopting these practices. Thus, enhancing extension services and access to climate information and irrigation can reduce gaps in adoption of soil and water conservation and crop choice, considered as climate‐smart practices that will eventually improve crop revenues and reduce farmers’ exposure to climate‐related production risks.     

Risks and returns from soil conservation: evidence from low-income farms in the Philippines

This paper examines risks and returns associated with soil conservation on hillside farms in the Philippines. Stochastic efficiency analysis is combined with a heteroskedastic regression model to assess the impacts of contour hedgerows on low-income corn farms. Regression analysis indicates that, over time, contour hedgerows can improve yields up to 15% compared with conventional practices. The analysis also provides weak support tor a hypothesis that hedgerows are variance reducing. However, results show that the reduction in yield variability afforded by hedgerows is modest, and that yield variability may increase by as much as 5% as hedgerow intensity rises. Tests for stochastic dominance show that, compared with the conventional tillage system, hedgerows do not constitute an unambiguously dominant production strategy. Stochastic elticiency with respect to a function is used to identify a range lor the coefficient ol relative risk aversion within which hedgerows dominate conventional tillage. Results suggest this range would be rather high; hedgerows dominate the conventional cropping strategy only lor decision-makers with relative risk aversion coefficients in the range 3-5.5. Implications for soil conservation adoption in low-income settings 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.     

Productivity and Land Enhancing Technologies in Northern Ethiopia: Health, Public Investments, and Sequential Adoption

The adoption of more efficient farming practices and technologies that enhance agricultural productivity and improve environmental sustainability is instrumental for achieving economic growth, food security, and poverty alleviation in sub-Saharan Africa. Our research examines the interaction between public investments, community health, and adoption of productivity and land enhancing technologies by households in the northern Ethiopian state of Tigray. Agricultural technology adoption decisions are modeled as a sequential process where the timing of choices can matter. We find that time spent sick and opportunity costs of caring for sick family members are significant factors in adoption. Sickness, through its impact on household income and labor allocation decisions for healthcare and other activities, significantly reduces the likelihood of technology adoption. Our findings suggest that agencies working to improve agricultural productivity and land resource conservation should consider not only the financial status of potential adopters, but also their related health situation.     

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.     

Household welfare implications of sustainable land management practices among smallholder farmers in Ghana

This study employs farm household data to examine the impact of adoption of sustainable land management practices on consumption and poverty outcomes using multivalued treatment effects approaches. The generalized propensity score approach was employed to account for selectivity bias due to observed characteristics among households. Using a doubly robust treatment effects estimator, we found that increasing intensity of adoption improved per capita consumption expenditure, reduced poverty headcount and poverty gap among farm households. The results of the multivalued treatment effects approach revealed significant differences between adopters of different adoption intensities, a finding that is not possible with binary treatment effect approaches. The findings also revealed that the average treatment effect of moving from low intensity to high intensity adoption levels differed across quantiles of per capita consumption. We also use a dose-response function to demonstrate that the treatment effect of intensity of adoption on per capita consumption and poverty outcomes is nonlinear, with optimal adoption level occurring between 60–70 % of adoption intensity dose. It is therefore recommended that initial government support in sustainable land management is necessary to sustain and upscale individual household efforts towards investment in sustainable land management.     

Husbands’ and wives’ risk preferences and improved maize adoption in Tanzania

Research on technology adoption typically assumes that the preferences of a single individual—the household head—determine household-level decisions. This study uses experimentally derived prospect theory-based risk preferences from couples in Tanzania to test whether men's and women's risk preferences, which often diverge, influence the adoption of improved maize varieties. We find that women's risk aversion and men's loss aversion are negatively correlated with improved variety use. The tendency of men to overweight small probabilities is negatively associated with adoption, whereas the tendency of women to do so is positively associated. These findings suggest that technology adoption research should look beyond the preferences of the household head, and that technology promoters should consider targeting both men and women in their education and dissemination efforts.     

Adoption of soil and water conservation technologies in the Rwizi catchment of south western Uganda

Soil and water conservation technologies, such as mulching, grass strips and retention ditches, have been promoted in many areas of Sub-Saharan Africa. However, technology adoption rates have remained unsatisfactory. In this study, a logit model was used to examine the adoption of soil and water conservation technologies in the Rwizi catchment of Uganda using cross-sectional survey data from 271 smallholder farmers. Findings revealed that the likelihood to adopt these conservation technologies by smallholder farmers is explained by land size, tropical livestock units, access to extension services, value of gross output, gender of the household head and location of the farmers. Our results further showed that the quadratic term in land size was significant and negative, highlighting an acreage threshold to adoption. In general, our findings underscore the importance of information access and landownership in adoption of soil and water conservation technologies in the Rwizi catchment of Uganda.     

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.     

个人工资水平、家庭迁移特征与农民工城市消费--留城意愿的调节和中介作用分析

农民工城市消费受到个人与家庭决策两方面的影响。本研究构建了包括个人工资水平、家庭迁移特征与留城意愿的农民工城市消费理论框架,结合5省3524名农民工的专项调研数据,探讨个人与家庭特征对农民工个人城市消费的影响,并深入探讨两类特征对农民工个人城市消费的作用机制和影响路径。研究结果显示:第一,农民工工资收入水平对其城市消费水平具有显著的正向作用,尤其是发展与享受型消费;第二,留城意愿对农民工城市消费水平也有显著的正向作用,但迁移家庭完整度对其消费没有直接影响,而是通过留城意愿间接地促进农民工的城市消费;第三,留城意愿在农民工工资收入水平与其城市消费之间起着正向调节作用,即农民工留城意愿越强,工资收入水平的提高对农民工城市消费的正向促进作用越大。     

Impact of conservation agriculture technology on household welfare in Zambia

This article examines the determinants and impact of conservation agriculture (CA) technology adoption on farm household welfare in Zambia. To account for selection bias from both observable and unobservable factors, an endogenous switching regression model is employed to estimate the impact of the technology on continuous outcomes like farm output, throughput accounting ratio (TAR), poverty gap, and severity of poverty. A recursive bivariate probit model is however used for the estimation of impact of adoption on a binary outcome like poverty headcount. The empirical findings demonstrate that the adoption of CA technology increases maize output, and farm TAR and reduces household poverty. Moreover, the results reveal that farmers’ years of schooling, social networks, access to credit, extension services, and machinery as well as soil quality positively influence adoption of CA technology.     

Conservation practice complementarity and timing of on-farm adoption

The adoption of conservation practices is a dynamic process. Factors that vary over time can affect farmers’ decision to adopt and adoption timing. We used a duration model to evaluate the farmer's adoption time for continuous no-till (CNT), cover crops (CCs), and the variable-rate application of inputs (VRA). We found that producers who had previously adopted soil conservation practices were more likely to adopt additional complementary practices. Farmers using crop rotation adopted CNT and CCs approximately 48% and 62% faster than farmers without a crop rotation, respectively. The CC adoption time was also reduced by 70% for farmers who had adopted CNT. Complementarities between conservation practices may enhance the benefits from adoption and allow farmers to adopt bundles of conservation practices more quickly over time. This can be taken advantage of in conservation programs by promoting or requiring practices first that enhance adoption of other practices. We also found important heterogeneity in the adoption speed associated with farm management characteristics, producers’ attitudes, weather patterns, and crop prices.     

Land titling policy and soil conservation in the northern uplands of Vietnam

In Vietnam, a quasi-private property regime has been established in 1993 with the issuance of exchangeable and mortgageable long-term land use right certificates. Using primary qualitative and quantitative data collected in a mountainous district of Northern Vietnam, this paper investigates the role of the land policy in the adoption of soil conservation technologies by farmers. This issue is of crucial importance in the region where population growth and growing market demands have induced farmers to intensify agricultural production. While poverty has been reduced, environmental problems such as soil erosion, landslides, and declining soil fertility have become more severe over the past years. Our findings suggest that despite farmers’ awareness of erosion, soil conservation technologies are perceived as being economically unattractive; therefore, most upland farmers continue to practice the prevailing erosion-prone cultivation system. Focusing on agroforestry as one major soil conservation option, we estimate household and plot-level econometric models to empirically assess the determinants of adoption. We find that the possession of a formal land title positively influences adoption, but that the threat of land reallocations in villages discourages adoption by creating uncertainty and tenure insecurity. The analyses reveal that these two effects interact with each other but are of small magnitude. We conclude that the issuance of land titles is a necessary but not sufficient prerequisite to encouraging the adoption of soil conservation practices. However, current practices remain economically unattractive to farmers. This deficiency needs to be addressed by interdisciplinary research and complemented by strong efforts by local authorities to promote sustainable land use.     

Decision-making in soil conservation: application of a behavioral model to potato farmers in Sri Lanka

Soil erosion is one of the most devastating problems in the upper watershed areas in Sri Lanka. Erosion-prone cultivation of vegetables (especially potatoes) on steep slopes, without soil conservation measures, has become a major problem in the recent past. Soil erosion has significant impacts on on-farm as well as off-farm activities. Although various institutions have launched programs to introduce soil conservation techniques, these have not yielded expected results mainly due to a lack of understanding of the potato farmers’ behavior on investment decisions on soil conservation. Hence the conceptual model on investment decisions on soil conservation was tested in this paper. The analytical results of the generalized least square model indicated the importance of personal and economic, as well as institutional, factors in decision-making in soil conservation. Therefore, obtaining farmer adoption of erosion-control practices will require the use of various implementation tools such as education, subsidies, and technical assistance. Low willingness to invest in soil conservation indicated the necessity for public installation of conservation structures if they are to be widely used in potato farmlands in the upper watersheds in Sri Lanka.     

Climate-resilient practices and welfare impacts on rice-cultivating households in Vietnam: Does joint adoption of multiple practices matter?

Farmers have a long history of adjusting their production practices in response to changing production conditions. Using a multinomial endogenous treatment effects model that accounts for observable and unobservable heterogeneity, this study investigates the adoption and welfare impacts of climate-resilient practices on Vietnamese rice-cultivating households. We found evidence of clear and positive welfare impacts from the adoption of canal irrigation (CI) and the joint adoption of agricultural conservation practices (CP) and CI as the main adaptation strategies to increase water stress. More importantly, although farmers with access to CI systems obtained the highest returns, the joint adoption of multiple practices still had substantially high adoption rates and significantly positive effects on rice yield, rice revenue and household income. Our findings indicate that farms' and farmers' characteristics, market information and climatic conditions are generally the main factors driving rice farmers' decisions to adopt climate-resilient technologies, both individually and jointly. Follow-up policy interventions should focus on improving CI systems and promoting the joint adoption of climate-resilient technologies to improve rice farmers' well-being and enhance their resilience capacity to cope with incoming climatic uncertainty.