Nonfarm employment,agricultural intensification,and productivity change: empirical findings from Uganda

This article uses panel data from the Living Standards Measurement Study‐Integrated Surveys on Agriculture for Uganda to assess the farm‐level effects of nonfarm employment on agricultural intensification and productivity change. A sample selection model is used to account for both unobserved heterogeneity and potential simultaneity between agricultural production and nonfarm income. Results show that nonfarm employment can have differential impacts on farm technology intensity and productivity. Nonfarm income is found to have a positive impact on farm hired labor and improved seed intensity; a negative effect on on‐farm family labor use; and no significant impact on fertilizer, soil water management, and joint use of farm technologies. The econometric evidence also indicates that agricultural productivity declines as nonfarm income increases. Taken together, our findings reveal important trade‐offs between nonfarm employment and income and farm productivity growth under smallholder agriculture. The results indicated that targeted policies are required to reduce these potential trade‐offs between nonfarm employment and agricultural intensification and productivity change.     

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.     

Pathways out of poverty in lagging regions: evidence from rural western China

How to reduce poverty in lagging regions remains much debated and underserved with solid empirical evidence. This study illustrates an empirical methodology to analyze the pathways households followed out of poverty and to explore their potential in the future using 2000–2004 rural household panel data from two lagging provinces of China, Inner Mongolia and Gansu. It finds that rising labor productivity in agriculture has been key in understanding poverty reduction in rural lagging areas of these provinces and that it still holds much promise. Circular migration has also been important in Gansu, though less so in Inner Mongolia. On average, rural diversification has not proven to contribute much to poverty reduction and income transfers and agricultural tax abolishment have only helped at the margin. The findings from these two case studies highlight that the scope for reducing poverty in rural lagging regions can still be substantial in agriculture, also when nonagriculture drives national growth.     

The dynamics of Chinese rural households' participation in labor markets

The work is devoted to the dynamics of labor market participation of Chinese rural households. Based on a theoretical farm household framework the choice between four distinct labor market participation states is empirically analyzed. Using household data over the period 1995–2002 from the province Zhejiang we apply a discrete time hazard approach to analyze households' labor market participation histories. In particular, we investigate the movements between autarky and participation in general and, more specifically, the shifts between part-time and full-time farming. Estimation results suggest significant duration dependence, more precisely, a decreasing risk of moving from one state to another with an increasing time a household occupies one of these states. Further, the likelihoods of starting any participation in labor markets and to start part-time farming are considerably higher than to end participation or to return to full-time farming. In addition, we find that labor market participation decisions are significantly related to several household and farm characteristics.     

Poverty decline, agricultural wages, and nonfarm employment in rural India: 1983–2004

We analyze five rounds of National Sample Survey data covering 1983, 1987/1988, 1993/1994, 1999/2000, and 2004/2005 to explore the relationship between rural diversification and poverty. Poverty in rural India has declined at a modest rate during this time period. We provide region-level estimates that illustrate considerable geographic heterogeneity in this progress. Poverty estimates correlate well with region-level NSS data on changes in agricultural wage rates. Agricultural labor remains the preserve of the uneducated and also to a large extent of the scheduled castes and scheduled tribes. We show that while agricultural labor grew as a share of total economic activity over the first four rounds, it had fallen back to the levels observed at the beginning of our survey period by 2004. This all-India trajectory also masks widely varying trends across states. During this period, the rural nonfarm sector has grown modestly, mainly between the last two survey rounds. Regular nonfarm employment remains largely associated with education levels and social status that are rare among the poor. However, casual labor and self-employment in the nonfarm sector reveals greater involvement by disadvantaged groups in 2004 than in the preceding rounds. The implication of this for poverty is not immediately clear—the poor may be pushed into low-return casual nonfarm activities due to lack of opportunities in the agricultural sector rather than being pulled by high returns offered by the nonfarm sector. Econometric estimates reveal that expansion of the nonfarm sector is associated with falling poverty via two routes: a direct impact on poverty that is likely due to a pro-poor marginal incidence of nonfarm employment expansion; and an indirect impact attributable to the positive effect of nonfarm employment growth on agricultural wages. The analysis also confirms the important contribution to rural poverty reduction from agricultural productivity, availability of land, and consumption levels in proximate urban areas.     

Off‐farm labor market decisions and agricultural shocks among rural households in Kenya

Using household level data from rural Kenya, this article explores whether and how farm households respond to unfavorable agricultural production environments, including any ex post adjustments in off‐farm labor supply in response to unexpected weather shocks. While controlling for a wide range of educational, demographic, and other locational factors, we examine how long‐term weather conditions and specific rainfall shocks influence a household's decision to engage in, and their earnings from, the off‐farm labor market. We find that rural households engage in off‐farm work as a long‐term strategy to deal with the effects of anticipated weather conditions on their farming operations. The analysis does not reveal major short‐term adjustments in off‐farm engagement as a result of specific, unexpected rainfall shocks; these households do however rely on remittance income and petty agricultural wage labor under these circumstances. Holding other factors constant, and conditional on participation, households in areas with a more productive local agriculture tend to earn more from off‐farm work especially in the informal/business sector than their counterparts in regions with a less productive agriculture. As expected, a vibrant local economy in the form of public investment increases the probability of off‐farm participation.     

Off-farm labour allocation decisions in small-scale rural households in Zimbabwe

The double hurdle model is used to analyse the off‐farm labour decisions of small‐scale agricultural household members in the Shamva District of Zimbabwe. The approach permits the joint modelling of the decision to participate in the labour market and the decision regarding the amount of time allocated to work. Results indicate that a number of variables (notably, gender, education and assets) indeed have effects which are qualitatively and quantitatively different in terms of participation and hours worked. Overall, the empirical analysis confirms the importance of individual characteristics (such as gender and education) and household/farm characteristics (e.g. land area accessible to the household, productive assets, remittances and the agricultural terms of trade) in influencing the labour market decisions of rural household members.     

How does land fragmentation affect off‐farm labor supply: panel data evidence from China

This article provides a deeper theoretical understanding of the linkages between land fragmentation and off‐farm labor supply in China, and investigates this relationship empirically in a more direct way than does the existing literature. Drawing upon a rural household panel data set collected in Zhejiang, Hubei, and Yunnan Provinces from 1995 to 2002, we estimate the effects in two steps. First, we estimate the effect of land fragmentation on labor productivity. Second, we estimate the effect of land fragmentation on off‐farm labor supply. The production function results show that land fragmentation indeed leads to lower agricultural labor productivity, implying that land consolidation will make on‐farm work more attractive and thus decrease off‐farm labor supply. However, the effect of land consolidation on off‐farm labor supply is not significant. One likely explanation for this result may be the potentially imperfect labor markets.     

Asset versus consumption poverty and poverty dynamics in rural Ethiopia

Several studies have shown conceptually that assets form a more robust basis for identifying the poor than do flow variables like expenditures or income. Asset‐based poverty classification can be used to distinguish structural from stochastic poverty and can enable projection of poverty dynamics through time. Nonetheless, little work has empirically compared poverty measurement based on assets and expenditures to indicate the practical implications of the choice of poverty measure. This article uses panel data (between 1994 and 2004) from Ethiopia to generate asset‐ and expenditures‐based poverty classifications. Asset dynamics are then explored to test for the existence of multiple asset index equilibria that could constitute evidence of poverty traps. Results provide evidence of multiple equilibria and show that the asset‐based poverty classifications predict future asset and expenditures poverty status more accurately than expenditures‐based measures. The findings confirm that the asset‐based measure could be used to more carefully target poverty interventions.     

Assessing the impact of NERICA on income and poverty in central and western Uganda

Persistent food shortage and poverty in sub-Saharan Africa (SSA) are major development issues. New Rice for Africa (NERICA) was developed to boost crop yield and income of rural households in SSA. Although its high-yielding traits have become fairly well known, there is no empirical analysis of its impact on income and poverty. By taking the case of Uganda where a NERICA promoting program was initiated as one of the major poverty eradication measures, this study attempts to compare actual income with the hypothetical income without NERICA. We found that introduction of NERICA decreases poverty to a significant extent without deteriorating income distribution.     

Do rainfall conditions push or pull rural migrants: evidence from Malawi

This article uses nationally representative data from Malawi's 2004/05 Integrated Household Survey (IHS2) to examine whether rainfall conditions influence a rural worker's decision to make a long‐term move to an urban or another rural area. Results of a Full Information Maximum Likelihood regression model reveal that (1) rainfall shocks have a negative association with rural out‐migration, (2) migrants choose to move to communities where rainfall variability and drought probability are lower, and (3) rainfall shocks have larger negative effects on the consumption of recent migrants than on the consumption of long‐time residents.     

Farmers' health and agricultural productivity

Agriculture is one of the most hazardous productive sectors around the world. Most previous studies have focused on health issues of farmers in developing countries, while little attention has been paid to farmers' health problems in developed countries. The present study assesses the effect of farmers' health conditions on agricultural productivity in Norway. Employing stochastic frontier regression techniques, we conclude that differences in farmers' health help to explain the variance in agricultural production efficiency.     

Long-term consequences of short-term precipitation shocks: evidence from Brazilian migrant households

We find that large short-term precipitation shocks damage the long-term income of households that have permanently migrated from rural to urban areas. This outcome is consistent with the behavior of credit-constrained rural households who are willing to accept lower long-term income in urban areas following the depletion of their productive assets during an adverse shock. Our empirical evidence suggests that there may be a link between large precipitation shocks in rural areas and urban poverty. Further exploration is warranted on the mechanisms by which natural disasters cause these long-term losses.     

Agricultural production and children's diets: evidence from rural Ethiopia

We study the relationship between pre‐school children's food consumption and household agricultural production. Using a large household survey from rural Ethiopia, we find that increasing household production diversity leads to considerable improvements in children's dietary diversity. However, we also document how this nonseparability of consumption and production does not hold for households that have access to food markets. These findings imply that nutrition‐sensitive agricultural interventions that push for market integration are likely to be more effective in reducing under‐nutrition than those promoting production diversity.     

Short-term employment transitions of the Canadian labour force: rural-urban differences in underemployment

Using data from the Canadian Survey of Labour and Income Dynamics (SLID) for the period 1993–1996, we examine patterns and determinants of labour‐force transitions of adequately employed and underemployed workers in an attempt to explore whether employment dynamics significantly differ between rural and urban workers so as to disadvantage rural economic performance. The results indicate that rural adequately employed workers are significantly more likely to enter underemployment but once they are underemployed, they also have a higher probability of re‐entering adequate employment. Further, we also found weak evidence that the education level of workers has a lower impact on the probability of moving out of underemployment in rural than in urban areas. In addition, rural women are significantly less likely than their male counterparts and urban workers to enter adequate employment, although the presence of young children does not seem to especially constrain the employment of rural women. The results suggest that labour‐force transition in and out of adequate employment, and particularly underemployment, significantly differ between rural and urban workers and should be taken into account when evaluating employment hardship in rural Canada.     

Technological and policy options for sustainable agricultural intensification in eastern Uganda

This article presents a bio‐economic household model, which has been developed to assess the potential impacts of agricultural intensification efforts on economic and ecological indicators in eastern Uganda. A study region in the Lake Victoria Crescent was selected with comparative advantages for intensive agricultural production: high agricultural potential, high market access, and high population density. However, current production is characterized by low input–output systems revealing a discrepancy between development opportunities and actual development outcomes. Based on a farmer participatory research approach, production methods were introduced in the study region aimed at fostering sustainable agricultural development. Data from two community surveys, two comprehensive household and plot level surveys, and farm‐trial data were used to develop and calibrate bio‐economic models for four representative household types. Model scenarios reveal that farm households in eastern Uganda would not pursue sustainable intensification under current socio‐economic conditions. The market environment has to be improved substantially, i.e., transaction and transportation costs have to be reduced, innovative credit schemes for smallholders have to be introduced, and alternative forms of labor acquisition have to be promoted, to provide sufficient economic incentives for the adoption of environmentally sound production methods. In addition, agricultural service provision needs to be reformed and more agricultural research is needed for new and better‐targeted technologies.