Are medium‐scale farms driving agricultural transformation in sub‐Saharan Africa?

This study presents evidence of profound farm‐level transformation in parts of sub‐Saharan Africa, identifies major sources of dynamism in the sector, and proposes an updated typology of farms that reflects the evolving nature of African agriculture. Repeat waves of national survey data are used to examine changes in crop production and marketed output by farm size. Between the first and most recent surveys (generally covering 6 to 10 years), the share of national marketed crop output value accounted for by medium‐scale farms rose in Zambia from 23% to 42%, in Tanzania from 17% to 36%, and in Nigeria from 7% to 18%. The share of land under medium‐scale farms is not rising in densely populated countries such as Kenya, Uganda, and Rwanda, where land scarcity is impeding the pace of medium‐scale farm acquisitions. Medium‐scale farmers are a diverse group, reflecting distinct entry pathways into agriculture, encouraged by the rapid development of land rental, purchase, and long‐term lease markets. The rise of medium‐scale farms is affecting the region in diverse ways that are difficult to generalize. Findings indicate that these farms can be a dynamic driver of agricultural transformation but this does not reduce the importance of maintaining a clear commitment to supporting smallholder farms. Strengthening land tenure security of local rural people to maintain land rights and support productivity investments by smallholder households remains crucial.     

Agritourism and off‐farm work: survival strategies for small farms

This study considers agritourism and off‐farm work as income diversification choices simultaneously and analyzes factors influencing such choices. Further, the study assesses the impact of agritourism, off‐farm work, and both on gross cash farm income and total farm household income. We utilized large set of nationwide farm survey data and selectivity‐based multinomial choice model. An important finding of our study is that small farms have higher household income if they choose both income diversification strategies rather than a single strategy. Results suggest that education, age of the operator, financial condition, and location of the farm are important factors driving income diversification alternatives. Finally, our study indicates that accounting for selectivity is essential to ensure unbiased and consistent estimates.     

Optimal farm size in an uncertain land market: the case of Kyrgyz Republic

This article applies a real options model to the problem of land development. Making use of the 1998–2001 Kyrgyz Household Budget Survey, we show that when the hypothesis of decreasing return to scale holds, the relation between the threshold value of revenue per hectare and the amount of land cultivated is positive. In addition, the relation between the threshold and the amount of land owned is positive in the case of continuous supply of land and negative when there is discontinuous supply of land. The direct consequence is that, in the first case, smaller farms will be more willing to rent land and exercise the option where, in the second case, larger farms will exercise first. The results suggest three main conclusions: (i) the combination of uncertainty and irreversibility is an important factor in land development decisions, (ii) farmer behavior is consistent with the continuous profit maximization model, and (iii) farming unit revenue tends to be positively related to farm size, once uncertainty is properly accounted for.     

O‐Ring production on U.S. hog farms: joint choices of farm size,technology, and compensation

We hypothesize that hog production can be characterized by complementarities between new technologies, worker skills, and farms size. Such production processes are consistent with Kremer's O‐ring production theory in which a single mistake in any one of several complementary tasks in a firm's production process can lead to catastrophic failure of the product's value. In hog production, mistakes that introduce disease or pathogens into the production facility can cause a total loss of the herd. Consistent with predictions derived from the O‐ring theory, we provide evidence that the most skilled workers concentrate in the largest and most technologically advanced farms and are paid more than comparable workers on smaller farms. These findings suggest that worker skills, new technologies, and farm size are complements in production. The complementarities create returns to scale to large hog confinements, consistent with the dramatic increase in market share of very large farms over the past 20 years.     

The firm size,farm size,and transaction costs: the case of hazelnut farms in Turkey

This study analyzes the effects of transaction costs on the size of hazelnut farms in Turkey. The study finds that higher land slope and higher variance of rain, as transaction‐cost‐increasing natural effects, lead to smaller hazelnut land holdings. High slope and weather variation can increase the costs of monitoring the laborers, make moving inputs or output up and down harder, limit the use of machinery, and reduce contractual performance of labor contracts. For farm production functions, land is a complex input with measurable interactions with nature. Contrary to common production theory approaches that take natural properties of land as given, the study develops a production function that incorporates natural properties, such as, slope and rain variance. The study utilizes two separate data sets for the estimations. The first data set explores the characteristics of hazelnut farmers, while the second one analyzes the regional characteristics of hazelnut farms.     

Gender and agriculture in sub‐Saharan Africa: introduction to the special issue

This special issue contributes to the literature on gender differences in sub‐Saharan African agriculture primarily by using new and innovative micro‐data. The first six articles have a strong focus on understanding the extent and drivers of gender differences in land productivity and use data from nationally representative household surveys that are implemented under the Living Standards Measurement Study‐Integrated Surveys on Agriculture (LSMS‐ISA) initiative. The LSMS‐ISA data are multi‐topic, with geo‐referenced household and plot locations, and information on production and identity of managers and owners at the plot level. The last two articles in the volume rely on in‐depth quantitative and qualitative case study data, which, in combination with the nationally representative data, allow for greater insights into the extent and correlates of gender differences in sub‐Saharan African agriculture. While there does seem to be persistent evidence of gender gaps, the studies find the sources of these gaps to vary within and across countries. This makes designing policies to address gender gaps more challenging, yet of crucial importance. What is clear is that the failure to directly and explicitly address the underlying causes of the disparities is likely to end up exacerbating the observed gender gaps.     

Self‐protection from weather risk using improved maize varieties or off‐farm income and the propensity for insurance

We investigate how self‐protection from the adoption of Improved Maize Varieties (IMV) and off‐farm income affects risk premiums for smallholder maize producers in Uganda. To unbundle these effects, we specify the cost of risk to explicitly capture four risk components—mean, variance, skewness, and kurtosis. Using unique plot‐level panel data for Uganda, we estimate and test moments of a flexible production function based on an expanded form of the Johnson S_U family distribution and proceed to simulate the degree of responsiveness of risk premiums and welfare estimates to marginal changes in the share of land under IMV and off‐farm income. Scenarios of joint adoption of IMV accompanied with low and high application of inorganic fertilizer, and the effect of off‐farm income when there is high and low supply of farm labor are examined. Results show that the use of IMV and off‐farm income substantially reduces risk premiums and the individual effect is much higher under low fertilizer application and high supply of farm labor, respectively. Thus implying that self‐protection is likely to reduce the propensity for index insurance especially if its design fails to consider the reduction in downside risk.     

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.     

Determinants of off‐farm work and its effects on farm performance: the case of Norwegian grain farmers

Limited attention has been given in the literature to the impact of off‐farm work on farm performance. More knowledge about the determinants of part‐time farming and its effects on farm performance could help policymakers to introduce better targeted rural development policies. The aim in this article is to fill part of the above‐mentioned gaps by analyzing factors that influence the choices of off‐farm work by either the farmer alone or jointly by both the farmer and partner; and simultaneously examining how off‐farm work influences farm performance. These analyses were based on an unbalanced panel data set from Norwegian grain farms during 1991 to 2005. Among the determinants of off‐farm work hours, we found that, in addition to demographic, time trend, and some regional effects, there was a significant negative effect of farm output on farmers' off‐farm work hours. The production function results revealed that off‐farm work had a positive effect on farm output, at first increasing but then decreasing with increase in hours spent in off‐farm work. Furthermore, our analysis revealed no systematic effect of off‐farm work on farm technical efficiency.     

Effect of off‐farm income on smallholder commercialization: panel evidence from rural households in Ethiopia

This article investigates how off‐farm income affects crop output market participation decisions and marketed surplus of smallholder farmers in Ethiopia. A double‐hurdle model is estimated using three waves of panel data from the Ethiopian Rural Household Survey. Unobserved heterogeneity is controlled for using a correlated random effect procedure and potential endogeneity of explanatory variables using a control function approach. The results show that off‐farm income has no significant influence on household crop output market participation. However, conditional on market participation, additional off‐farm earnings negatively affect the marketed surplus. This indicates that farmers use off‐farm earnings for consumption rather than for investment in agricultural production. Policy measures that promote rural investment may help increase returns to labor for land‐poor households participating in off‐farm work in the process of agricultural commercialization.     

Custom‐hired tractor services and returns to scale in smallholder agriculture: a production function approach

Historically, agricultural transformation has often accompanied the increase in the returns to scale. Little direct evidence exists, however, on what actually causes such increase, despite the knowledge of many factors that are associated with this increase. We fill this knowledge gap by testing whether hiring in tractor services has raised returns to scale in agriculture at the household level in Nepal Terai that has undergone rapid growth in the tractor use through custom‐hiring services. Using Switching Regression and Inverse‐Probability‐Weighted Generalized Method of Moments, we address two sources of endogeneity involved with the estimation of returns to scale; (1) farmers’ self‐selection on whether to hire in tractor services and (2) use of inputs in the production function. For both Cobb‐Douglas and Translog production function specifications, we find that hiring in tractor services significantly increased the returns to scale in agricultural production by about 0.2 ～ 0.3 among farm households not owning tractors, for which suitable control groups are found. Findings are robust under various alternative specifications.     

Incentives and moral hazard: plot level productivity of factory‐operated and outgrower‐operated sugarcane production in Ethiopia

We investigate the unique contractual arrangement between a large Ethiopian sugar factory and its adjacent outgrower associations. The only significant difference between the sugarcane production on the factory‐operated sugarcane plantation and on the outgrower‐operated plots is the remuneration system and thus, the incentives to the workers. We compare the productivity of these two production schemes using a cross‐sectional plot‐level data set. As sugarcane production depends on various exogenous factors that are measured as categorical variables (e.g., soil type, cane variety, etc.), we estimate the production function by a nonparametric kernel regression method that takes into account both continuous and categorical explanatory variables without assuming a functional form and without imposing restrictions on interactions between the explanatory variables. Our results show that outgrower‐operated plots have—ceteris paribus—a statistically and economically significantly higher productivity than factory‐operated plots, which can be explained by outgrowers having stronger incentives to put more effort into their work than the employees of the sugar factory.     

Structural transformation and smallholder agriculture: an information‐theoretic analysis of the Nicaraguan case

In light of continued debate regarding the capacity of small‐scale agricultural producers to compete amidst globalization and/or liberalization, we examine recent trends in the distribution and use of agricultural landholdings in developing nations via refined exploration of the Nicaraguan case. With nationally‐representative, Living Standards Measurement Survey‐type data for the years 1998, 2001, and 2005, we employ Markov chain methods within an information‐theoretic framework in an attempt to advance the analysis of structural transformation in developing countries beyond the examination of trends in mean farm sizes or Gini coefficients, approaches ill‐suited to the detection of the apparent complexities of structural change. Further, while Markov chain analysis has witnessed relatively widespread application in the investigation of structural transformation in developed nations, we offer a novel methodological extension by allowing for the simultaneous exploration of structural transformation across multiple dimensions–namely, structural change in both the distribution and use of agricultural landholdings—as well as the incorporation of microlevel determinants of farm size and land use change. The results of the inquiry, above all, suggest that Nicaragua's agricultural and livestock sector is characterized by a definitive persistence of smallholders. While a moderate tendency toward bifurcation in the distribution of landholdings would appear to obscure any immediate relationship between operational landholdings and land productivity, we contend that such trends are, in fact, consistent with the often observed inverse farm size‐productivity relationship.     

The political economy of agriculture for development today: the “small versus large” scale debate revisited

The role of agriculture in economic development and the development politics of promoting smallholder versus large‐scale agriculture have both been at the center of a long‐lasting and controversial debate. Using an innovative methodology which combines a value chain approach with input‐output‐analysis, the growth multipliers and productivity of both farm types in Guatemala are analyzed. Results show that smallholder agriculture has the same potential to stimulate output growth as large‐scale agriculture. Smallholder value chains include mainly informal sectors and create more jobs than commercial agriculture. Therefore, a reorientation of agricultural and land policies toward small‐scale food producers and within a comprehensive policy of integrated rural development is not only necessary in terms of social equity but also for boosting economic development.     

Impact of off‐farm income on food expenditures in rural Bangladesh: an unconditional quantile regression approach

This study examines the effects of off‐farm income on food expenditures of rural Bangladeshi households. Our analysis yields unbiased estimates of the unconditional impact of off‐farm income on food expenditures and reveals the heterogeneous effects that occur across the distribution of total food consumption expenditures. The findings suggest that the impacts of off‐farm income are uniformly positive across the unconditional quantile regression and significantly increase food consumption expenditures for all quantiles, except for the 25th quantile. In addition, we found that schooling, experience, and location of the household increase the food expenditures of rural households. Most importantly, this article argues that female‐headed rural households in which the female works off the farm tend to have significantly lower food expenditures.     

Patterns of Rural Development: A Cross‐Country Comparison using Microeconomic Data

This article proposes a general pattern of rural development in which increases in per capita income are associated with a decline in the importance of agricultural production and a rise in the importance of non‐agricultural income sources. Following the approach to examining Engel’s Law, we use data from 15 developing countries and a merged dataset to test whether such a pattern emerges. The analysis shows a strong, positive relationship between per capita income and the share of income earned from rural non‐agricultural wage employment and a negative relationship between per capita income and agricultural production.     

Adoption of farm‐based irrigation water‐saving techniques in the Guanzhong Plain,China

This article analyses adoption of farm‐based irrigation water saving techniques, based on a cross‐sectional data set of 357 farmers in the Guanzhong Plain, China. Approximately 83% of the farmers use at least one farm‐based water‐saving technique. However, the traditional, inefficient techniques border and furrow irrigation are still prevalent whereas the use of advanced, more efficient techniques is still rather rare. We develop and estimate an adoption model consisting of two stages: awareness of water scarcity and intensity of adoption. We find that awareness of water scarcity and financial status enhance adoption of more advanced techniques whereas access to better community‐based irrigation infrastructure discourages it. We furthermore find both community‐based irrigation infrastructure and farm‐based irrigation water‐saving techniques have mitigating effects on production risk. From the results it follows that adoption can be stimulated via financial support and via extension aimed at enhancing awareness of water scarcity.     

Modelling the Crop Variety Demand of Semi‐Subsistence Households: Bananas in Uganda

We propose an approach to model the derived demand for crop varieties among semi‐subsistence farmers in a developing economy, and apply it to smallholder banana producers in Uganda. We model variety planting decisions as being composed of an extensive margin decision to grow a subset of locally available varieties (variety choice); and an intensive margin decision about the scale or extent of variety cultivation per farm (variety demand). We estimate variety demand equations using a more complete representation of the choice set upon which observed planting decisions are made. Computed elasticities of variety demand with respect to variety attributes indicate that the relative importance of consumption and production attributes varies by location and proximity to markets, from which we draw implications for the social and economic impact of crop improvement. The approach that we propose has broad appeal for analysing adoption decisions for modern or traditional varieties of both major and minor crops in developing countries.     

Challenging Small‐Scale Farming: A Non‐Parametric Analysis of the (Inverse) Relationship Between Farm Productivity and Farm Size in Burundi

We use a non‐parametric approach to investigate the (inverse) relationship between farm productivity and farm size. A kernel regression is used on data of mixed cropping systems to study the determinants of production including different factors that have been identified in literature as missing variables in the testing of the inverse relationship such as soil quality, location and household heterogeneity. Household data on farm activities and crop production were gathered from 640 households in 2007 in two Northern provinces of Burundi. Our results do not reject the findings of an inverse relationship between farm size and productivity. However, we find that size returns vary substantially with farm size, that is, between 0.2 for the smallest farms and 0.8 for the largest farms. Other factors that significantly affect production include soil quality. Finally, we find a significant positive association between food security and farm size.     

The impact of the 2005–2010 rice price increase on consumption in rural Bangladesh

This article studies the impact of the rice price increase between 2005 and 2010 on consumption in rural Bangladesh. Using the Household Income and Expenditure Survey (HIES) data, we compare net rice buyers and sellers to self‐sufficient households. To identify the effect of rice price changes on household consumption of rice, nonrice food and nonfood items, we employ a difference‐in‐differences (DiD) technique. Our findings indicate that the surge in domestic rice prices between 2005 and 2010 reduced the nonrice food consumption of net rice buyer households by 7%, compared to the households who are self‐sufficient in rice production. However, it did neither affect their rice nor their nonfood consumption. In contrast, while we find no significant effect of rice price increases on the rice consumption of net rice sellers, we observe a 9% increase in their nonrice food consumption. In such situation, a subsidy on low‐quality rice may be effective in fulfilling the nutritional requirement of low‐income households.