Determinants of food security in Southern Ethiopia at the household level

In the early 1980s, a paradigm shift occurred in the field of food security, following Amartya Sens (1981) claims that food insecurity is more of a demand concern, affecting the poor's access to food, than a supply concern, affecting availability of food at the national level. Despite the wide acceptance of Sen's thinking, many controversies including the relative importance of supply‐side versus demand‐side variables in causing and solving food insecurity have remained in academic and policy circles. This study develops a recursive household food security model within the framework of consumer demand and production theories following Singh et al. (1986) , and parses out the relative importance of supply‐side versus demand‐side variables in determining household food security in southern Ethiopia. Based on results of a test of full/reduced model and the magnitude of changes in conditional probabilities of food security, we conclude that the supply‐side variables are more powerful determinants of food security than the demand‐side variables.     

Does human capital raise farm or nonfarm earning more? New insight from a rural Pakistan household panel

This study explores how human capital affects farm household earnings using two tools to refine measurement of human capital effects. First, it employs a two‐sector model to allow the allocation of family labor between farm and nonfarm activities. Second, it accounts for village fixed effects to evaluate whether results from panel data differ meaningfully from a cross‐sectional data analysis with local binary variables. The results show that education has a negligible effect on farm earnings; instead, experience appears to be the principal channel by which human capital affects agricultural performance in a traditional rural setting. Our results also suggest that prior models that fail to separate nonfarm activities spuriously exaggerated the effect of education to the farm sector. In addition, typical cross‐sectional analyses that ignore fixed effects may cause the effects of education on rural household earnings to be significantly overstated. The fact that panel data regressions accounting for village‐level fixed effects found only one instance of education raising earnings—the effect of literacy on nonfarm income—suggests that considerable heterogeneity may have been ignored in cross‐sectional data analyses, especially ones that omitted village‐level effects.     

Examining the relationship between farm size and productive efficiency: a Bayesian directional distance function approach

Achieving sustainable food security and increased farm income will depend on how efficient production systems are in converting available inputs to produce outputs. Using data from Malawi, we estimate a Bayesian directional technology distance function to examine the relationship between farm size and technical efficiency. Our results support the existence of an inverse relationship between farm size and productive efficiency, where small farms are more efficient than large farms. On average, farms exhibit inefficiency levels of 60%, suggesting that productivity could be improved substantially. Improving productive efficiency and food security will require farms to operate in ways where the size of cultivated area is matched by nonland production inputs such as labor, fertilizer, and improved seeds. The results highlight the need for policies that could incentivize farmers to adopt productivity‐enhancing technologies and, where possible, to allocate excess land to lease markets.     

Consumption inequality between farm and nonfarm households in Taiwan: a decomposition analysis of differences in distribution

Consumption has been recognized as a more reliable indicator of household well‐being than income. Although a considerable body of literature has examined income inequality between farm and nonfarm households, little is known about inequality in consumption. This research aims to fill this knowledge gap by investigating consumption disparity between farm and nonfarm households. Using a nationally representative household survey from Taiwan, we apply an unconditional quantile regression‐based decomposition method to decompose the differences in the distribution of household expenditure between these farm and nonfarm households. The results indicate that differences in the observed characteristics between these two types of households explain most of the consumption inequality. Moreover, the difference in the education level of the farm operator, household income, and the degree of urbanization are particularly important.     

Understanding rural household behavior: Beyond Boserup and Becker

New data and new methods have provided many new insights into rural households in the past 50 years. We analyze what we have learned from household models since Boserup and Becker, using this to frame more recent findings about household behavior from three types of studies: observational studies, experimental games, and impact evaluations. More sex-disaggregated data, as well as data that are collected at smaller units, such as agricultural plots, have allowed us to better understand agricultural productivity, risk sharing, and spousal cooperation. However, the focus on bargaining within households has often led us to ignore the cooperation that occurs within households. Many resources are owned and managed jointly by household members and many decisions are made jointly, although not all parties necessarily have equal voice in these decisions. Research demonstrating that households often do not reach efficient outcomes suggests that we still have much to learn about rural household behavior. Understanding both individual roles within households and the levels of cooperation, including joint decision making and ownership of resources, is essential to analysis of households, especially in rural areas where households engage in both production and consumption.     

Risk aversion and land allocation between annual and perennial crops in semisubsistence farming: a stochastic optimization approach

This article analyzes the effect of production uncertainty on farmland allocation decisions between perennial and annual crops, focusing on a representative farmer's attitude toward risk. A dynamic stochastic optimization model that considers net planting—the difference between new plantings and removals of perennial crops that achieve full production cycle—is used. The effect of uncertainty on the representative farmer's decisions to increase or decrease perennial crops’ acreage, on the optimal path, is examined. Our results reveal that the response of optimal path of net planting to uncertainty related to perennial crop production is highly affected by the farmer's attitude toward risk. A risk‐averse or a low‐risk loving farmer tends to reduce land allocation to perennial crops under uncertainty, while a high‐risk loving farmer will do exactly the opposite. Also, due to disutility of farming, the farmer tends to reduce land allocation to perennial crops when prices are high enough for him to attain a desired income level expectation. One implication of this research is the need for mechanization—in sub‐Saharan countries in particular—that increases per‐acreage yield and output in semisubsistence agriculture.     

Horticulture exports, agro-industrialization, and farm–nonfarm linkages with the smallholder farm sector: evidence from Senegal

In this article we address the question of farm–nonfarm linkages at the household level in Senegal. We examine whether increasing off-farm employment opportunities for rural households—resulting from increased horticulture exports and associated agro-industrialization—has benefitted the smallholder farm sector through investment linkages. We use data from a household survey in the main horticulture export region in Senegal. We find that access to unskilled employment in the export agro-industry has contributed to the alleviation of farmers' liquidity constraints, resulting in increased smallholder agricultural production.     

The increasing importance of nonfarm income and the changing use of labor and capital in rice farming: the case of Central Luzon, 1979–2003

There have been sharp increases in nonfarm income among farm households in Central Luzon for the last few decades. This study attempts to identify the effects of the increasing nonfarm income on the use of tractors and threshers and on the employment of hired labor as a substitute for family labor. We found that while the increased nonfarm income positively affects the ownership of tractors, it has no significant impact on the use of agricultural machines due presumably to the development of efficient machine rental markets. We also found that the increased nonfarm income leads to the increased use of hired labor, thereby releasing family labor to nonfarm jobs.     

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.     

The impact of water conservation and intensification technologies: empirical evidence for rice farmers in Ghana

This study employs the propensity score matching model to examine the impact of the adoption of water conservation and intensification technologies on farm output and income among small-scale lowland rice farmers in the Northern Region of Ghana. The matching was conducted based on the Mahalanobis distance combined with the propensity score. Balancing tests by checking the mean standardized absolute bias in the matched sample were conducted as well as a sensitivity analysis was conducted to check for hidden bias due to unobservable selection. The empirical results show a positive and significant impact of the adoption of bunds technology on input demand as well as a positive but insignificant impact on output supply and net returns. Adopters of the dibbling technology were found to have higher output supply, whereas no statistically significant difference was found between the incomes of adopters and nonadopters of dibbling seed method. The results, however, reveal a positive and significant effect on output and net returns when the dibbling method is combined with intensified weeding. The estimates were found to be relatively insensitive to hidden bias.     

Consumer preferences for cowpea in Cameroon and Ghana

Consumer preference information is essential to targeting research. This paper reports an effort of a multi‐disciplinary team to measure the market value of cowpea characteristics. Five samples were purchased once per month in seven markets in Ghana and Cameroon starting in September 1996. In the market, price and vendor characteristics were noted. In the laboratory, size of grains, testa color, testa texture, eye color and damage levels were recorded. A hedonic pricing regression model was used. Results indicate that grain size is the most important characteristic. Consumers seem more sensitive to bruchid (Callosobruchus maculates) damage than hypothesized. Cowpeas with white testa command a clear premium only in one of the Ghanaian markets. In Ghana, black eyes sell at a premium, but in Cameroon black eyes are discounted. In general, this study indicates that quality characteristics are very important in West African food markets. Even low income consumers are willing to pay a premium for products that match their preferences, and they are vigilant in identifying products that do not meet their standards. Purchasing samples on a regular basis and hedonic pricing offers a practical way for biological scientists and economists to work together to measure these consumer preferences.     

Evaluating the impact of agricultural extension on farms' performance in Crete: a nonneutral stochastic frontier approach

This article attempts to integrate the production‐ and the efficiency‐based approaches for evaluating the impact of extension on farms' performance. For this purpose the nonneutral production frontier model is used, and the empirical analysis refers to a sample of farms from Crete, Greece. The empirical results support the proposed formulation instead of either the production‐ or the efficiency‐based formulations as extension was found to have a statistically significant effect on closing both the technology and management gaps. Public and private extension services were found to be competitive in the production function and complementary in the technical inefficiency effect function. In addition, farms using both public and private extension services achieved a higher degree of technical efficiency than those using either public or private extension services, and farms with no extension services were found to be the least efficient.     

Roundup Ready soybeans in Argentina: farm level and aggregate welfare effects

Although adoption rates of genetically modified crops have been staggering in some countries, there is still comparatively little evidence about biotechnology impacts under diverse agroecological and institutional conditions. These knowledge gaps lead to an overly precautious attitude among policy makers and the public. This article analyzes the effects of Roundup Ready (RR) soybeans in Argentina, the country with the second biggest transgenic area worldwide. Based on recent survey data, it is shown that the technology increases total factor productivity by 10% on average, with cost savings being somewhat more pronounced for smaller than for larger farms. The reduction in use of toxic herbicides and of tillage operations entails positive environmental repercussions. Aggregate welfare effects are computed over the 1996–2001 period with a three-region, partial equilibrium model, comprising Argentina, the United States, and the rest of the world. In 2001, RR soybeans created more than US$1.2 billion of economic surplus at the global level. The largest share went to consumers (53%), followed by seed and biotechnology firms (34%), and agricultural producers (13%). Due to comparatively weak intellectual property protection, and thus only small technology mark-ups in seed prices and widespread adoption, Argentine soybean growers receive 90% of the benefits in that country. This demonstrates that farmers in developing countries can gain considerably when they obtain access to suitable foreign innovations through technology spill-overs.     

Demand for rural tourism: the effects of quality and information

The development of rural tourism is regarded as a promising diversification strategy especially for lagging and mountainous areas of the European Union. Research concerning the demand and/or supply of rural tourism services has been limited within the agricultural economics domain despite the significance attached to rural tourism by various rural development policy measures and initiatives. The article examines the expenditure behavior of rural tourists within a framework of demand for composite (heterogeneous) goods. The proposed framework captures the quality of the tourism experience as the commodity's unit value, a quantifiable economic variable, examines its effects on expenditures and allows for the estimation of elasticity in prices regarding expenditure and quantity. Empirical analysis is facilitated by a survey recording the expenditure behavior of 465 tourists in two rural and lagging areas of Greece. The quality of the tourism experience is significantly and positively affected by the income, the source from which information about the trip is retrieved (Internet, newspapers as well as general press and special travel press) and by the amount of information sought by the consumer prior to the trip. In turn, the quality of the tourism experience is the major endogenous factor that positively influences expenditures for rural tourism. Further research is needed before evidence provided in this work can be used to draw policy conclusions and recommendations.     

Enhancing food security through diet quality: The role of nonfarm work in rural India

India has achieved food security at the macro level. However, at the micro level, the country still struggles with extensive problems of food nutrition insecurity. In this paper, we assess the impact of nonfarm income and nonfarm work status (casual and full-time nonfarm work) of operator, spouses, and couples on the diet quality of smallholder households in India. We find that nonfarm income decreases the likelihood of farming household being in the poor-diet quality group by 31% and the medium-diet quality group by 3%. Full-time nonfarm work by operators and spouses decreases the likelihood of farming households being in the poor-diet quality group by 3% and 9%, respectively. Finally, national programs like public food distribution programs increase the probability of rural farming households in the poor-diet quality group. Findings from this study underscore the importance of nonfarm income and full-time nonfarm work in improving diet quality of rural Indian households.     

A hedonic approach to estimating the supply of variety attributes of a subsistence crop

The article extends the household hedonic model by estimating a supply function for variety attributes of a subsistence crop in a developing economy. The model is applied to bananas in Uganda, making use of disaggregated data on variety‐specific farm‐gate banana bunch prices and attributes, while accounting for the semisubsistence nature of banana‐producing households. The article is motivated by the need to understand the attribute trade‐offs made by farmers at the farm gate in light of targeted variety improvement efforts and their impact on banana markets. Whether variety improvement will pay off at the market level requires a more detailed examination of the relative worth of banana attributes within the structure of consumer preferences and production technologies related to bananas in Uganda. The results confirm the importance of consumption and production attributes in selling behavior. Quality and bunch size are found to be complements at the farm gate. Banana bunches that capture a premium at the market will be those that provide bundles of desirable consumption and production attributes simultaneously. By revealing important price–attribute relationships, the findings provide guidance for crop improvement efforts and diversification choices, while taking into account implicit market signals for output attributes.     

Rural nonfarm income and its impact on agriculture: evidence from Albania

Using data from the 2005 Albania Living Standards Measurement Study (ALSMS05) survey, this article analyzes the overall impact of household nonfarm income-generating activities (RIGA) on agricultural expenditures as well as technical efficiency of rural farm households. We also differentiate the impact for subsistence and commercial farmers, who are in the top 25% of the distribution of value of annual agricultural sales. Our results show that on the whole, Albanian rural households utilize their nonfarm earnings not to invest in time-saving, efficiency-increasing technologies, but to move out of crop production. We derive similar findings when we try to estimate the same relation separately for commercial and subsistence farmers. However, for commercial farmers, we find a positive impact of household nonfarm earnings on livestock expenditures.     

Participation and returns in rural nonfarm activities: evidence from the Kyrgyz Republic

This article uses two representative household budget surveys from the Kyrgyz Republic to analyze factors influencing participation and returns from different types of nonfarm activities in 2005 and 2006. We use the double hurdle and Heckman models, which allow us to demonstrate that a number of variables has different effects on participation and income from nonfarm activities. For example, residing in remote areas and lack of capital are found to stimulate participation in nonfarm activities, but decrease nonfarm income. Results are robust, but using the Heckman model seems to produce more accurate results for returns to education and gender under the presence of selection bias. Overall, nonfarm activities are found to be most important for the poor, who are pushed out of agriculture due to limited and poor land resources. This indicates that equipping poor households to enable them to move towards better remunerative nonfarm activities should be a priority for Kyrgyz rural policy makers.     

Water access,farm productivity,and farm household income: Sri Lanka's Kirindi Oya irrigation system

Income differences attributed to differential access to water in irrigation systems are common. Prior studies of farm‐level water use in developing areas have typically been limited to using number of irrigations as a proxy for water use. We develop a volumetric measure in Sri Lanka's Kirindi Oya Irrigation System through recent farmer recall and use it in production function estimation and welfare analysis. Findings indicate substantial differences in water use by farms across seasons and across subareas of the irrigation district. Alternative plans for allocating additional water among seasons and subareas to elevate net rice revenues are examined. The recommended plan predicts higher net returns from rice and greater equality in the distribution of household income than would be generated if the additional water were allocated based on the current allocation criteria. Concurrent application of fertilizer at recommended levels would further increase net revenues and reduce income inequality.