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.     

The Adoption of Genetically Modified Cotton and Poverty Reduction in Pakistan

This article employs a propensity score‐matching approach to examine the direct effects of adoption of Bacillus thuringiensis (Bt) cotton on yields, pesticide demand, household income and poverty, using cross‐sectional data from a survey of farmers in the Punjab province of Pakistan. Generally, the findings reveal that adoption of the new technology exerts a positive and significant impact on cotton yields, household income and poverty reduction, and a negative effect on the use of pesticides. The positive and significant impact of the technology on yields and household income is consistent with the potential role of new agricultural technology in directly reducing rural poverty through increased farm household income.     

Adoption and Ex-post Impacts of Improved Cowpea Varieties on Productivity and Net Returns in Nigeria

Cowpea covers the largest area of any grain legume in Africa and is especially important in West Africa where Nigeria and Niger alone account for over 75% of the total cowpea production in the world. Despite successes of international and national cowpea improvement research in the development and release of several improved varieties, there is limited empirical evidence of adoption and ex-post impacts of improved cowpea. Using a nationally representative survey data from a sample of 1,525 cowpea-growing households in northern Nigeria cultivating over 2,500 cowpea plots, we assess the adoption and impacts of improved cowpea varieties on cowpea yields, net returns and production costs. We apply a control function approach and propensity score matching models to estimate the causal effects of adoption of improved cowpea varieties . Our results show that 38% of the cowpea plots were planted with improved varieties, and cowpea yields, net returns and production costs increase significantly with the adoption of improved cowpea varieties. Adoption of improved cowpea varieties is associated on average with 26% yield gains, 61% increase in net returns and 14% increase in production costs. We also show that farmers who have a lower propensity to adopt improved cowpea varieties also face higher costs of production.     

How do Agricultural Programmes Alter Crop Production? Evidence from Ecuador

Evaluating agricultural programmes requires considering not only the programmes’ influence on input and output indicators, but also considering the relationship between these indicators as embodied in the production technology. This article examines the impact on production of an intervention in the Ecuadorian Sierra designed to improve returns to potato production through training and through linking smallholders to high‐value markets. Critical to identifying the impact of the programme is the careful construction of a counterfactual and meticulous data collection. To assess the impact of the programme on production, a weighted estimation, where weights are constructed through propensity score matching, is employed to estimate a production function within a damage abatement framework. The function incorporates a series of interaction terms to assess the impact of the programme on the production technology. The findings provide evidence that the programme enhances yields both through a general shift in technology as well as increased input use. The results suggest that the use of effective farming techniques that are learned through the programme induce this technological shift.     

参与电商会促进猕猴桃种植户绿色生产技术采纳吗?——基于倾向得分匹配的反事实估计

本文利用陕西、四川两省686户猕猴桃种植户的调查数据,在采用变异系数法度量猕猴桃种植户绿色生产技术采纳程度的基础上,利用倾向得分匹配法构建反事实框架,实证分析参与电商对猕猴桃种植户绿色生产技术采纳的影响效应。结果表明:猕猴桃种植户绿色生产子技术的重要性依次为测土配方施肥技术、物理防治技术、套袋技术、无公害农药使用技术、有机肥施用技术;在控制样本选择偏差后,参与电商对猕猴桃种植户绿色生产技术采纳有显著的正向影响;参与电商对不同资本禀赋的猕猴桃种植户绿色生产技术采纳的促进效应存在差异;参与电商通过提升产品价格预期、提升经济收益水平、提升信息获取能力、追求正向社会评价四条路径来影响猕猴桃种植户的绿色生产技术采纳。     

Smallholder cooperatives and agricultural performance in Rwanda: do organizational differences matter?

Agricultural policies in Rwanda focus on agricultural intensification and increased market orientation of the smallholder farm sector. Cooperatives are seen as key vehicles in this, but little is known about their effectiveness to achieve these goals. In this article, we analyze the impact of cooperative membership on the agricultural performance of rural households in Rwanda. We use cross‐sectional survey data, collected in 2012, to analyze the impact of cooperative membership on different agricultural performance indicators, including indicators on agricultural intensification, market orientation, farm revenue, and income. We use several econometric techniques to deal with potential selection bias in estimating the impact of cooperative membership, including a proxy variable method based on a willingness to pay measure and propensity score matching methods. We find that cooperative membership in general has a positive impact on farm performance but these effects are driven by specific types of cooperatives.     

Modern Rice Technologies and Productivity in the Philippines: Disentangling Technology from Managerial Gaps

Using cross‐sectional farm‐level data from 3,164 rice‐farming households in the Philippines, we measure the impact of modern rice technologies on farm productivity while disentangling technology gaps (the distance between production frontiers) from managerial gaps (differences in technical efficiency). To do so, we combine a recently developed stochastic production frontier framework with impact evaluation techniques to control for biases stemming from observables and unobservables. First, we find an adequate control group using propensity score matching to mitigate the effect of biases from observable variables. Then, we test for biases that might arise from unobserved variables using a stochastic frontier framework corrected for self‐selection. Finally, we estimate meta‐frontiers to assess productivity differences between adopters and non‐adopters. The analysis shows that the adoption of certified seeds has a significant and positive impact on productivity, efficiency and net income in rice farming.     

Estimating returns to soil conservation adoption in the northern Ethiopian highlands

Land degradation in the form of soil erosion and nutrient depletion presents a threat to food security and sustainability of agricultural production in many developing countries. Governments and development agencies have invested substantial resources to promote soil conservation practices as part of an effort to improve environmental conditions and reduce poverty. However, limited rigorous empirical work has been done on the economics of soil conservation technology adoption. This article investigates the impact of stone bunds on value of crop production per hectare in low and high rainfall areas of the Ethiopian highlands using cross-sectional data from more than 900 households, with multiple plots per household. We have used modified random effects models, stochastic dominance analysis (SDA), and matching methods to ensure robustness. The parametric regression and SDA estimates are based on matched observations obtained from the nearest neighbor matching using propensity score estimates. This is important, because conventional regression and SDA estimates are obtained without ensuring that there actually exist comparable conserved and nonconserved plots on the distribution of covariates. We use matching methods, random effects, and Mundlak's approach to control selection and endogeneity bias that may arise due to correlation of unobserved heterogeneity and observed explanatory variables.
We find that the three methods tell a consistent story. Plots with stone bunds are more productive than those without such technologies in semi-arid areas but not in higher rainfall areas, apparently because the moisture conserving benefits of this technology are more beneficial in drier areas. This implies that the performance of stone bunds varies by agro-ecology type, suggesting the need for designing and implementing appropriate site-specific technologies.     

The impact of integrated livestock disease management for food security in Togo

In sub-Saharan Africa, livestock is one of the key channels through which most households meet their food security needs. However, diseases such as the African Animal Trypanosomosis (AAT) constrain productivity. Using data from 445 randomly sampled small-scale cattle farmers, this paper investigates the role of integrated livestock disease control on household food security. Using a novel approach to link different food security measures to cattle productivity, the paper identifies the channels of impact at the household level. Methodologically, the paper estimated the propensity score matching algorithm to net out the effect of adoption. The results show that households who adopt RDU have record livestock productivity and higher consumption per capita expenditures. They tend to be more food secure, experience lower seasonal food supply fluctuations and experience a lower probability of falling below the food poverty line.     

Tenure Security and Farm Efficiency Analysis Correcting for Biases from Observed and Unobserved Variables: Evidence from Benin

We analyse the impact of land tenure security on the technical efficiency of a sample of smallholder farmers in Benin, based on an output‐oriented stochastic distance function. We use propensity score matching to correct for selection bias from observed variables. The Greene ( 2010 ) sample selection model is used to correct for selection bias due to unobserved variables. We estimate meta‐frontiers to analyse agricultural productivity and efficiency differences between landowners and non‐owners. Our results show that non‐owners have consistently higher levels of technical efficiency and productivity.     

The impact of safety nets on technology adoption: a difference‐in‐differences analysis

This article contributes to a growing body of empirical literature relating credit constraints and incomplete insurance to investment decisions. We use panel data from rural Ethiopia to investigate whether participation in a safety net program enhances fertilizer adoption. Using a difference‐in‐differences estimator and inverse propensity score weighting, we find that participation in Ethiopia's food‐for‐work (FFW) program increased fertilizer adoption in the short run, but not in the long run. Results also indicate that the intensity of fertilizer usage increased with livestock holdings for FFW‐participant households, providing some evidence that the intervention helped asset‐rich farm households more than asset‐poor households. We find no significant effects of free distribution on fertilizer adoption or intensification. Our results are consistent with the hypothesis that safety nets can be viewed as mechanisms that allow households to take on more risk to pursue higher profits. The results highlight the importance of safety net programs, their effectiveness in ensuring farmers that they will be protected against uninsured shocks, and how that assurance can translate into productivity‐enhancing behavior.     

农机社会化服务对农业劳动生产率的影响研究

[目的]农业劳动生产率的提高是中国农业现代化的重要特征,进一步探讨农机社会化服务对农业劳动生产率的作用效果具有现实意义。[方法]文章基于2019年全国13省份玉米种植户调查数据,采用OLS回归模型与倾向得分匹配法,分析了农机社会化服务对农业劳动生产率的影响效应,探讨影响效应在不同地形条件、兼业程度的组群差异,并考察了不同环节农机社会化服务对农业劳动生产率的影响差异。[结果]（1）农机社会化服务正向显著影响农业劳动生产率,采纳农机社会化服务会促使农户农业劳动生产率显著提高18.8%。但农户采纳农机社会化服务的作用效果具有环节异质性。采纳耕整地、播种、灌溉排水和收获环节农机社会化服务会促使农户农业劳动生产率分别显著提高21.2%、17.4%、22.9%和18.3%;(2)而农户采纳植保环节农机社会化服务对农业劳动生产率并不具有显著影响。农户采纳农机社会化服务对劳动生产率的影响效应还存在禀赋差异,平地农户采纳农机社会化服务使其农业劳动生产率显著提高21.9%,而坡地山地农户采纳农机社会化服务对农业劳动生产率没有表现出显著的影响。（3）纯农业户与兼业农户采纳农机社会化服务都会对农业劳动生产率产...     

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.     

Impact of cooperatives on smallholders' commercialization behavior: evidence from Ethiopia

This article examines the impact of marketing cooperatives on smallholder commercialization of cereals using detailed household data in rural Ethiopia. We use the strong government role in promoting the establishment of cooperatives to justify the use of propensity score matching to compare households that are cooperative members to similar households in comparable areas without cooperatives. The analysis reveals that although cooperatives obtain higher prices for their members, they are not associated with a significant increase in the overall share of cereal production sold commercially by their members. However, these average results hide considerable heterogeneity across households. In particular, we find that smaller farmers tend to reduce their marketed output as a result of higher prices, whereas the opposite is true for larger farmers.     

社会化服务对农户农药减量行为的影响——基于服务专业化维度的考察

[目的]在社会化服务体系建设不断推进的背景下，农户并非是可自我执行农药减量化的行为主体。分析社会化服务对农户采纳农药减量行为的影响，旨在发掘出以服务规模经营方式促进农户采纳农药减量行为的可行性策略。[方法]文章基于甘肃省802户农户调研数据，利用倾向得分匹配法构建反事实框架，剖析不同专业化服务对农户农药减量行为的影响，最后运用分位数回归模型分析农户农药减量不同行为水平下社会化服务影响效应的动态变化。[结果]（1）农业社会化服务能够显著促进农户采纳农药减量行为。（2）讨论内生性后，社会化服务领域下更细化的专业化服务如技术培训、施药外包、农产品销售、产品质量认证等服务对农户农药减量行为具有显著正向影响，而农资供应服务的影响不显著。（3）技术培训、施药外包、产品质量认证等服务对农户农药减量行为高水平组的促进效果最强，对中等水平组的促进效果次之，对低水平组的促进效果最弱，而农产品销售服务的促进作用从中等水平组到高水平组呈现减弱趋势。（4）党员身份、信息来源对农户农药减量行为具有显著正向影响，种粮目的、风险感知对农户农药减量行为具有显著负向影响。[结论]政府对不同类型社会化服务的政策支持应有所差...     

Impact of training on the intensification of rice farming: evidence from rainfed areas in Tanzania

Agricultural development is indispensable for poverty reduction and food security in sub‐Saharan Africa (SSA). This study investigates the impact of rice production training in a modified version of the System of Rice Intensification (SRI) on the performance of small‐scale rice farmers in a rainfed area of Tanzania. Utilizing the plot level variation, we employ propensity score matching (PSM) to assess the impact of training on technology adoption, productivity, and profitability. We also estimate a difference‐in‐differences model with plot fixed effects using recall panel data covering the periods before and after training. We found that trainees achieved an average paddy yield of 4.7 tons per hectare and rice profit of 191.5 USD per hectare on the plots where new technologies were adopted, which is higher by about 1.3–1.8 tons and 119–137 USD per hectare than on the other plots. Our study suggests the high potential of transforming favorable rainfed rice growing areas in SSA so as to achieve a rice Green Revolution through training in modern input use and improved agronomic practices.     

Rural credit and agricultural supply in Brazil

The objective of this study is to determine the financing impact of total expenditure on the use of agriculture inputs (fertilizers, labor, and pesticides), and the output of cotton, rice, beans, corn, soybean, and wheat in Brazil. We study the period 1976–2005. The analysis is based on duality applied to the production theory. The output supplies and conditioned input demands are estimated from a translog multi‐output, multi‐input restricted profit function, where the total production credit is used as proxy of the total expenditure. Farmer expectations with respect to crop prices are incorporated to the estimation based on the quasi‐rational expectation model. The output and input responses to the total expenditure are positive and statistically significant except for cotton, wheat, fertilizer, and pesticides. The short‐run output supply response to own prices is inelastic, except for wheat, which presents elastic response to its price. Acreage has a positive impact on the output supply and it is influenced by land productivity. The main conclusion is that farmers face budget restrictions to purchase inputs, and a government credit program might increase the agricultural supply.     

ICT and agricultural productivity: evidence from cross-country data

This article carries out agricultural production function estimations, based on data for the period 1995–2000 on 81 countries, to present empirical evidence on the relationship between the adoption of information and communication technology (ICT) and agricultural productivity. It is found that new ICT has a significantly positive impact on agricultural productivity. The evidence suggests that the adoption of modern industrial inputs in agricultural production relies on the information and communication infrastructure. However, the empirical evidence from this study also suggests that new ICT could be a factor for the divergence between countries in terms of overall agricultural productivity. Not only do we find that the ICT adoption levels of the richer countries are much higher than those of the poorer countries, but also that returns from ICT in agricultural production of the richer countries are about two times higher than those of the poorer countries. A plausible explanation for the poorer countries' relatively low productivity elasticity of ICT is the lack of important complementary factors, such as a substantial base of human capital.     

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.     

Microfinance and Household Poverty Reduction: Empirical Evidence from Rural Pakistan

This study examines whether household access to microfinance reduces poverty in Pakistan and, if so, how and to what extent. It draws on primary empirical data gathered by interviewing 1132 households, including both borrower and non-borrower households, in 2008–2009. Sample selection biases have been partially controlled for by using propensity score matching. The study reveals that microfinance programmes had a positive impact on the participating households. Poverty-reducing effects were observed on a number of indicators, including expenditure on healthcare, clothing and household income, and on certain dwelling characteristics, such as water supply and the quality of roofing and walls.