Is off-farm income reforming the farm? Evidence from Mexico

Does access to off-farm income complement or compete with agricultural production? This article explores the effect of off-farm income on agricultural production activities, using data from the 2003 Mexico National Rural Household Survey. We first discuss the theoretical conditions under which access to off-farm income may influence production in an agricultural household model. Instrumental-variable (IV) estimation methods are then used to test whether agricultural production activities, technologies, and input use differ between households with and without access to off-farm income. We find that off-farm income has a negative effect on agricultural output and the use of family labor on the farm, but a positive impact on the demand for purchased inputs. There is also a slight efficiency gain in households with access to off-farm income. Findings offer insights into how household production evolves as rural households increasingly engage in off-farm income activities.     

The effects of a large discrete maize price increase on the distribution of household welfare and poverty in rural Kenya1

This study estimates the effects of a large discrete maize price increase on the welfare of a sample of rural Kenyan households. The usual first‐order welfare approximation formula is extended to a second‐order formula that allows for supply and demand responses to the price change. Results show that many rural households are not affected greatly by the price change, and there are about as many gainers as losers. However, these full sample results mask important differences across regions. Welfare gains generally take place in major production areas while losses are in areas where most households are net buyers of maize. Semiparametric methods are used to investigate the relationship between income and the size of the welfare effect, and poverty dominance techniques are applied to study the impacts of the maize price increase on rural poverty.     

Determinants of smallholder farmers' participation in banana markets in Central Africa: the role of transaction costs

A bivariate probit model was employed to jointly and separately estimate banana market participation decisions of buying and selling households in Rwanda and Burundi using household survey data. Selectivity bias was corrected for estimating the transacted volumes using Heckman's procedure. The results showed that transaction cost‐related factors such as geographical location of households, market information sources, and travel time to the nearest urban center influence market participation. Non‐price‐related factors such as security of land tenure, labor availability, off‐farm income, gender of the household head, and years of farming experience had a significant influence on the transacted volumes. Output prices had a significant correlation with sales volume, indicating price incentives increased supply by sellers. Generally, the findings suggest that policies aimed at investments in rural road infrastructure, market information systems, collective marketing, and value addition of banana products may provide a potential avenue for mitigating transaction costs and enhancing market participation and production of marketed surplus by rural households.     

Impacts of price and productivity changes on banana‐growing households in Uganda

This article compares the effects of changing market prices and farm productivity on the welfare of banana‐growing households in the Ntungamo district of Uganda. A heterogeneous‐agent model is applied via a series of mathematical optimization problems, to simulate production and consumption responses of 70 farm households surveyed in 2006. Results show that a given increase in productivity has a greater impact on poverty alleviation than that same increase in market prices. Despite the effects of productivity gains being comparable across different types of household groups, price improvements primarily benefit the incomes of households who are involved in rural producer organizations, who are located closer to markets, and who sell at the market.     

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.     

Land degradation, drought and food security in a less-favoured area in the Ethiopian highlands: a bio-economic model with market imperfections

This paper presents a bio‐economic model of Andit Tid, a severely degraded crop‐livestock farming system with high population density and good market access in the highlands of Ethiopia. Land degradation, population growth, stagnant technology, and drought threaten food security in the area. Drought or weather risk appears to have increased in recent years. The bio‐economic model is used to analyse the combined effects of land degradation, population growth, market imperfections and increased risk of drought on household production, welfare and food security. We find that the indirect effects of drought on household welfare through the impact on crop and livestock prices are larger than the direct production effects of drought. Provision and adoption of credit for fertiliser, although risky in itself, may lead to increased grain production and improved household welfare and food security. Provision of credit may have a negative effect on conservation incentives but this effect may be mitigated by linking a conservation requirement to the provision of credit for fertiliser.     

Credit constraints and productivity in Peruvian agriculture

This article evaluates the performance of a rural credit market in Peru. We develop a model that shows that collateral requirements imposed by lenders in response to asymmetric information can lead not just to quantity rationing but also to transaction cost rationing and risk rationing. Just like quantity rationing, these two additional forms of nonprice rationing adversely affect farm resource allocation and productivity. We test the insights of the model using a panel data set from Northern Peru. We estimate the returns to productive endowments for constrained and unconstrained households using a switching regression model. We find that, consistent with the theory, productivity is independent of endowments for unconstrained households but is tightly linked to endowments for constrained households. We estimate that credit constraints lower the value of agricultural output in the study region by 26%.     

China's booming livestock industry: household income, specialization, and exit

China's production of livestock products has generally kept pace with her rapidly increasing demand. Over-supply and market corrections for various livestock products took place over the latter part of the 1990s and large numbers of householders exited this type of production. Using household survey data, we estimate the relationship between a household's specialization in livestock production and household net income in 1995, and use a logit model to explore some predictors of household exit from livestock production over the following decade of market instability. We conclude that specialist livestock households with access to necessary skills, technologies, and markets increase their incomes from further livestock specialization in the base year, whereas those to whom livestock production is relatively unimportant can increase household incomes by diverting their resources away from animal husbandry. It was specialist rather than diversified livestock households that tended to bear the brunt of the adjustment to unfavorable price movements over the decade post-1995. Policy concerns include the exit of larger-scale specialized producers who tended to earn relatively high household incomes in 1995, barriers to the effective formation and operation of horizontal and vertical integration options to help mitigate market instability, the further development of insurance programs and markets for livestock producers, and development assistance to livestock households that for various reasons cannot increase scale and specialization.     

Has China’s new round of collective forest reforms caused an increase in the use of productive forest inputs?

Forestland tenure and financial incentives are the most important policy issue to sustainable forest resource management. The new wave of reform of collective forestland tenure (NRCFT) has been launched since 2003 and the governmental matching reform measures (MRMs) for the NRCFT have been introduced since 2009. The objective of these reforms is to enhance sustainable forest resource management in Chinese collective regions by encouraging rural households’ productive forest inputs. We use a unique dataset of 1778 sample households in 18 counties of nine provinces with six years and employ a fixed effects model with clustered standard errors. Our empirical results indicate that: 1) the NRCFT has increased households’ forestland area of different tenure types, and the effects of the MRMs on rural households’ labor input and production expenditures for forestry purposes are generally positive, especially household used forestland as collateral for a loan and afforestation or reafforestation subsidy and reform of Annual Allowance Cut (AAC) have significantly contributed to increase in the use of productive forest inputs; 2) the NRCFT and the MRMs have different impacts on the use of productive forest inputs for different tenure forests, and these reforms have caused the most significant changes in rural households’ production decision changes for household responsibility forestland; 3) both the NRCFT and the MRMs have significant effects on rural households’ rent-in and rent-out forestland; and 4) forestland fragmentations have caused additional labor and investment inputs for rural households’ forest resource management and protection. And finally, market drivers and household and village characteristics factors also affect households’ decisions for productive inputs for their managing forests.     

Grain transport and rural credit in Mozambique: solving the space–time problem

This paper shows how credit market failures can lead to large welfare losses in grain markets by inducing increased transport for seasonal storage in locations with low credit costs. The burden of these welfare losses falls primarily on rural households. These conclusions are obtained from a spatial/temporal model solved using a mixed complementarity formulation that easily handles interest rate differentials across space. Efforts to address credit market failures and to improve the efficiency of rural storage should be given priority as opposed to the creation of large, formal sector grain collection centers.     

Markets and pro-poor agricultural growth: insights from livelihood and informal rural economy models in Malawi

This article presents the development of a set of programming models describing the major features of different rural livelihoods and of the informal rural economy they together make up in Malawi. The models allow for differentiated responses by different household types to change and for the partial equilibrium effects of consequent supply, demand, and price adjustments in labor and grain markets. The models provide insights into the relations between own‐farm and nonown‐farm activities in different households' livelihoods and in the informal rural economy as a whole, and are used to investigate possible impacts of increasing cash crop prices and of a more open rural economy. Impacts of these changes on the poor are found to be critically dependent upon supply and demand elasticities in labor and grain markets, but the poor could potentially suffer significant losses from increased openness of the local economy leading to increased expenditure by less poor households on imported goods and services.     

FOOD SECURITY IN KWAZULU: RESULTS OF A HOUSEHOLD-BASED PROGRAMMING MODEL

A mathematical programming model of rural KwaZulu, excluding three northern districts, was developed to simulate agricultural production in regions of high and low cropping potential. This model aggregates enterprise levels predicted for four representative households of which two are in the high-potential region and two in the low-potential region. Several economic scenarios are simulated with the model to predict, inter alia, responses to changes in cereal prices, input subsidies, changes in off-farm employment and a rental market for crop land. Long-run food supply response is estimated to be inelastic with respect to changes in product and input prices. Higher food prices harm the majority of rural households. Lower input prices have little impact on household welfare. Conversely, it is predicted that a rental market for arable land could have a large positive impact on crop production and would improve household welfare.     

Poverty analysis using small area estimation: an application to conservation agriculture in Uganda

This article demonstrates the utility of small area estimation of poverty (SAEp) methods for researchers wishing to conduct a detailed welfare analysis as part of a larger survey of a small geographic area. This study applies SAEp methods as part of an impact assessment of a conservation agriculture production system in Eastern Uganda. Using SAEp, we estimate Foster–Greer–Thorbecke rural poverty indices, estimate the effects of per‐acre farm profit increases to poor households on the indices, and compare the findings to estimates of net returns from a field‐level evaluation of conservation agriculture for maize farmers. Results suggest that increasing the farm profits of the bottom 30% of households by $1.60 per‐acre per‐season would reduce rural poverty incidence by 1 percentage point. Available data on the net returns to conservation agriculture indicate that even these modest increases are achievable for few adopting households.     

Linkages between the farm and nonfarm sectors at the household level in rural Ghana: a consistent stochastic distance function approach

This article explores the effects within households of an expanding rural nonfarm (RNF) sector in Ghana. We ask whether the growing RNF sector allows for economies of diversification within farms, how it affects household input demands, and whether it has measurable effects in overall household production efficiency. We explore the intrahousehold linkages between agricultural and RNF activities, first assuming perfectly competitive input and output markets and then with market failures, in particular missing labor and credit markets. We then measure these linkages using a household level input distance function, finding high levels of inefficiency in Ghanaian farms. Also, there are cost-complementarities between the RNF sector and the agricultural sector, particularly with food crops in which the poorest tend to specialize. The expansion of the RNF sector increases demand for most inputs including agricultural land. Finally, we show that smaller farms tend to be more efficient, and that RNF output is helping the farm household to become more efficient, but the latter result is not robust.     

Differences in agricultural returns: an empirical test of efficiency in factor input allocation using Vietnamese data

We study whether rural households in Vietnam allocate their factor inputs efficiently. Factor returns and technical rates of substitution (TRS) between production activities are compared. We estimate two translog production functions and conduct three tests: First we test the equality of bootstrapped returns. Second, we use a bootstrapped t -test comparing the equality of TRS. Finally, we derive a set of nonlinear restrictions on our estimated parameters, which, if held, would imply that we cannot reject efficiency. The article concentrates on the allocation of factors between the cultivation of the two most important agricultural crops—sugar cane and rice. We cannot reject the possibility that households are efficient in their input allocation. These results are consistent and stable over different estimation techniques and support the assumption of profit maximization.     

Welfare effects of maize technologies in marginal and high potential regions of Kenya

This paper describes the findings of a study that used a multi‐market model to assess the potential impact of improved maize technologies on the welfare of various types of rural and urban households in Kenya. The modelling results indicate that technologies developed for high potential regions are likely to have more profound aggregate impacts on maize production and lead to greater reductions in import demand (if prices are controlled) or maize prices (if maize prices are flexible). Technology adoption in high potential regions is likely to have substantially greater positive impacts on aggregate real incomes, but inferior income distributional outcomes compared to technology adoption in marginal regions.     

Did the commodity price spike increase rural poverty? Evidence from a long‐run panel in Bangladesh

We assess the effects of the dramatic rise in agricultural commodity prices during 2007–2008 on income dynamics and poverty among rural households in Bangladesh. A unique panel data set allows us to put the effects of recent events in the context of long‐run trends in income and poverty. We use data from a nationally representative longitudinal survey of rural households in Bangladesh collected in four waves in 1988, 2000, 2004, and 2008. Nargis and Hossain (Nargis, N., Hossain, M., 2006. Income dynamics and pathways out of rural poverty in Bangladesh, 1988–2004. Agric. Econ. 35, 425–435) analysed income dynamics and poverty incidence for the first three waves, finding a declining trend in both the incidence and severity of poverty, aided in particular by human capital development and off‐farm employment opportunities. We update and extend the analysis to include data collected in 2008, at the height of a spike in agricultural prices. We find that the price of a balanced food basket increased by more than 50% during 2000–2008, while household income rose only 15%. As a result the incidence and severity of rural poverty in Bangladesh sunk to pre‐2000 levels during 2004–2008. Thus, the price spikes in 2007–2008 helped push an additional 13 million people into poverty in rural Bangladesh. Moreover, we find that the determinants of poverty have not been time‐invariant. In particular, agricultural production, which had previously been associated with a higher incidence of poverty, served as a hedge against higher food prices during 2004–2008.     

Rising Food Prices and Household Welfare: Evidence from Brazil in 2008

Food price inflation in Brazil in the 12 months to June 2008 was 18%, whereas overall inflation was 7%. Using spatially disaggregated monthly data on consumer prices and two different household surveys, we estimate the welfare consequences of these food price increases, and their distribution across households. Because Brazil is a large food producer, with a predominantly wage‐earning agricultural labour force, our estimates include general equilibrium effects on market and transfer incomes, as well as the standard estimates of changes in consumer surplus. Although the expenditure (or consumer surplus) effects were large, negative and markedly regressive everywhere, estimates of the market‐income effect were positive and progressive, particularly in rural areas. Because of this effect on the rural poor, and of the partial protection afforded by increases in two large social assistance benefits, the overall impact of higher food prices in Brazil was U‐shaped, with middle‐income groups suffering larger proportional losses than the very poor. Nevertheless, as Brazil is 80% urban, higher food prices still led to a greater incidence and depth of poverty at the national level.     

A trait-based model of the potential demand for a genetically engineered food crop in a developing economy

We predict the potential demand of smallholder farmers for genetically transformed varieties of a food crop, the cooking banana of the East African highlands. Farmer demand for planting material is derived in an agricultural household model that accounts for variety traits and missing markets. The demand for candidate host varieties is predicted using a Zero‐Inflated Poisson (ZIP) regression system. The fitted model is used to illustrate the sensitivity of farmer demand for improved planting material to (a) investments in research and development, represented by the effectiveness of gene insertion and expression, and (b) other public investments in education, extension, and market infrastructure that support diffusion. By comparing the characteristics of agricultural households we demonstrate that the choice of host variety can have social consequences, favoring one rural population compared with another. Clients for transgenic banana planting material are likely to be poorer, subsistence‐oriented farmers in areas greatly affected by biotic constraints. A model of this type might be useful in assessing the investments needed to support the systematic dissemination of improved planting material. The approach can be generalized to other crop biotechnologies for smallholder farming systems, particularly in developing economies.     

Agricultural diversification and integrated pest management in Bangladesh

We study factors associated with a shift toward diversified, high‐valued vegetable crops and the incentives associated with the use of IPM methods for vegetable producers in Bangladesh. The primary objective is to measure how IPM technologies affect the crop and technology choices of low‐income rice farmers. A three‐season household optimisation model is used to study crop and technology choice under price and yield uncertainty. The model is parameterised using data from vegetable farms and experimental IPM trials conducted in Bangladesh. Simulation results show that access to IPM technology and IPM availability combined with access to credit increase household welfare and lead to higher rates of vegetable adoption. Off‐farm employment opportunities work against vegetable cultivation and IPM use by risk‐averse farmers. Implications for policy and extension efforts are highlighted.