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The purpose of this paper is to examine the factors that are likely to influence their wealth accumulation. Characteristics of the farm, operator, family and potential successors that contribute to wealth accumulation will be identified. An additional objective of the paper is to determine if there was a discernable difference in the level of wealth accumulation between the two groups of farm households.

The paper uses 2001 Agricultural Resource Management Survey data and a multivariate regression procedure. In particular, the study estimates two models one for those farm households whose wealth resides primarily in the farm and another for households with both farm business and nonfarm wealth.

Results from this study show that differences exist in wealth accumulation among the two groups of farm households based on factors such as farm organization, farm size and farms specializing in Livestock and other crops. Results also show a classic inverted U‐shaped wealth/age profile for the two groups of farm households considered in this analysis. However, the disinvestment tends to start at an earlier age for the group of households whose wealth resides primarily in the farm sector, 65 years compared to 82 years for farm households with wealth in both (farm and nonfarm) sectors. Findings from this study show a positive correlation between education and wealth accumulation for both groups of households.

Results point to the importance of land in the wealth portfolio of farm households and the influence of farms locations on wealth accumulation. The findings highlight the importance of maintaining a stable agricultural economy, particularly for farm households who derive their wealth from farming, with accompanying effect on land markets and the subsequent effect on the equity position, and debt servicing capacity of farm households.

This study differs from the more general agricultural finance and farm income literature in several ways. First, none of the studies in the literature has estimated the wealth of self‐employed households in general and farm households in particular. Second, since farm households collect wealth via farm and nonfarm sources their wealth accumulation method and motives are different than all other households. Third, unlike previous studies, the analysis here is conducted on a national farm‐level data with the unique feature of a larger sample than previously reported, comprising farms of different economic sizes and in different regions of the USA.

The purpose of this paper is to identify factors affecting formal credit constraint status of rural farm households in Vietnam’s North Central Coast (NCC) region.

Using the direct elicitation method (DEM), the authors consider both internal and external credit rationing.

Empirical evidences confirm the importance of household head’s age, gender and education to household’s likelihood of being credit constrained. In addition, households who have advantages in farm land size, labour resources and non-farm income are less likely to be credit constrained. Poor households are observed to remain restricted by formal credit institutions. Results from the endogenous switching regression model suggest that credit constraints negatively impact household’s consumption per capita and informal credit can act as a substitute to mitigate the negative influence of formal credit constraints.

One limitation arises from the usage of the DEM to identify credit constrained households. The method cannot detect effective and ineffective constraints. Another limitation is the inability of cross-section data to capture long-term impacts of credit constraints on household welfare. Finally, causes of credit constraints from the lender’s view cannot be observed.

The results suggest that it is necessary to enhance the credit allocation regime to reduce the transaction cost and provide target households with sufficient credit. It should be emphasized that high transaction cost and the mismatch between credit demand and supply stemming from information asymmetry. The government can help formal financial institutions to reduce information cost by encouraging the active role of social organizations such as Women Unions, Youth Unions and Veteran Unions in bridging rural farm households with formal lenders.

There are limited studies focusing on determinants of credit constraints and their impacts on rural farm households. To the best of the knowledge, there is no study evaluating the impact of credit constraints on rural farm household welfare particularly in Vietnam. In addition, the studies related to credit constraints only considered full quantity rationing (households applied for the loan but were rejected), omitting the case of partly quantity rationing (loan obtained by the borrowers is less than their demand) and self-rationing.

The purpose of this paper is to gain more insight into the relationship between off‐farm employment of rural households and water‐saving investments and irrigation water use in rural China.

Data from a survey held among 317 households in Minle County, Zhangye City, Gansu Province, covering the year 2007, are used for a probit analysis explaining investments in land leveling and for an ordinary least squares regression explaining irrigation water use per mu.

Off‐farm employment is not significantly related to investments in land leveling, but is negatively associated with water use per mu. In addition, the paper finds that the share of migrant students in a household is positively related to investments in land leveling. The results indicate the presence of major factor market imperfections in the research area, and confirm that the new economics of labor migration (NELM) approach is more relevant for analyzing off‐farm employment and agricultural production in China than neoclassical economic theory.

The paper expands the NELM approach towards the analysis of water‐saving investments and water use. In addition, it distinguishes migrant students as an important category that should be taken into account in analyzing farm household decisions making.

The purpose of this paper is to empirically investigate the effects of farm income variability, farm size, and other socio‐demographic characteristics on the precautionary saving behavior of farm households and to estimate the influences of the identified factors on the amount of savings by self‐employed farm households.

Using 2003 Agricultural Resource Management Survey (ARMS) data and a Double‐Hurdle procedure, the likelihood and the amount of savings by farm households are estimated.

An important empirical finding of this study is that variability in income plays an important role in explaining precautionary savings of US farm households. Findings suggest that farm households facing higher income risk save more and accumulate more wealth. It is indicated that several farm, operator, household, and demographic attributes contribute to the precautionary savings of farm households. In particular, results show that educational attainment by operator and spouses have positive impact on the decision to save. In addition, results from this study show that farms that specialize in cash grain are likely to have precautionary savings.

Farm households today are virtually indistinguishable from non‐farm households in their levels of income and diversity of employment. As a result, government policies that influence general economic conditions have much more profound impacts on farm families. Federal support of farm income warrants continued scrutiny. This paper shows that greater income uncertainty increases savings and wealth of farm households. Therefore, farm policies that reduce income variability or uncertainty will have an impact on precautionary savings and wealth of farm households.

Several studies have investigated savings of households; however, these studies are limited to entire US population, older Americans, or non‐self‐employed individuals in the USA. Little is known about the savings behavior of self‐employed US farm households owing to a lack of household survey data and because of the complex relationship between the farm household and farm business in terms of resource allocation (both capital and labor).

The purpose of this study is to establish household‐level food security risks associated with climate variation, and how households respond to these risks in a patriarchal society such as in Northern Cameroon where subsistence women producers have less control over resources required to support the food production sector which depends entirely on the quality of the rainy season.

Primary data from 116 female‐headed households (FHHs) and 184 male‐headed households (MHHs) is examined for the three Northern provinces of Cameroon. The survey generated information on the response and coping strategies to climatic variation; and the socioeconomic impacts of climate on households. The multinomial logit model is employed to establish the determinants of the choice selection for climate risk coping options by households.

Both FHHs and MHHs are exposed to stresses related to food production and availability, low incomes and food accessibility and utilization of food supplies, heightened by the real and perceived effects of the variability of current climate. Short‐term coping choices include diversification of livelihood which in turn impacts food accessibility and consumption choices.

A seasonal pattern is revealed in household expenditure with households spending more than 70 percent of their income on food in spring. The lowest food expenditures are in summer. Market and income manipulation choices for food supply stability include a range of non‐farm income generation strategies to cope with expected shortages induced by climatic variability. The current climate variation, household demography, and farming conditions via access to credit, tenure, and extension service delivery are significant determinants of coping choices for households perceiving change in climatic patterns.

Significant seasonal patterns in household food availability, accessibility and utilization are observed with important implications for both household welfare and as precursor to long‐term adaptation to climate change.

The present article presents a first‐look into the hired‐labor market in Chinese household farms using data from a national household survey conducted by the Research Center for the Rural Economy (RCRE) at China's Ministry of Agriculture. More specifically, the purpose of this paper is to evaluate the scale and dispersion of China's farm‐household hired laborers among 15 commodities, and test whether market factors influence labor‐hiring decisions – an expectation of a well‐functioning labor market. This research contributes to the literature concerned with the labor constraints facing Chinese household farms, especially those producing seasonal commodities.

An econometric approach is employed to assess whether Chinese farms that hire labor are responding to market factors using two repeated cross‐sections (2006, 2007) of household survey data collected by the Research Center for Rural Economy at China's Ministry of Agriculture.

The paper finds hired labor use on very small‐scale farms is surprisingly prevalent, in contrast to previously published data. The regression results suggest that labor hiring by Chinese farm households, irrespective of farm size, responds strongly to market signals and resource constraints – more labor will be hired when the wage is lower, when output is higher, and among families with fewer family members available to farm work. And the response is particularly robust for wheat, rice, and maize, whose prices are predominant determinants of the food price index.

This paper is limited in its time‐series dimension and data availability. Despite those limitations, the results hold implications for further understanding China's nascent labor market and the level to which market factors have impacted rural farm households.

Focusing on the as‐of‐yet unstudied market for hired labor on Chinese household farms, the present article makes a contribution by showing that hiring of labor in Chinese agriculture is much more prevalent than previously thought. It suggests that Chinese farm‐households are responding to certain labor‐market factors and that the household response does not weaken as the largest farms are omitted from the model, suggesting that even small farms are heeding market signals.

This study investigates implications of crop and income diversifications on consumption expenditure (welfare) of rice-producing households in Ghana. It further compares diversification by three rice production systems: two-season rain-fed, two-season irrigated and one-season rain-fed rice production.

Primary data were sourced from 225 rice farmers. Margalef index and three-stage least-squares were employed.

Majority of rice-farming households in Ghana diversify livelihoods. The extent of livelihood diversification differs among two-season rain-fed, two-season irrigated and one-season rain-fed rice-producing households. Credit, distance to district capitals, production purpose and number of farming seasons influence crop and income diversifications, and consumption expenditure of rice-producing households. While crop diversification reduces consumption expenditure, income diversification increases it. Crop and income diversifications positively influence each other. Consumption expenditure reduces crop diversification but increases income diversification.

Policy should be directed towards the promotion of more livelihood activities to boost rice farmers' welfare. There should be awareness creation and training programmes to enable rice farmers realize different economic activities within and outside the agricultural value chain.

Crop and income diversifications were measured as continuous response variables, unlike previous studies that used a binary response variable. The authors established a synergy among crop and income diversifications, and consumption expenditure (welfare). The authors further compared crop and income diversifications by three rice production systems: two-season rain-fed, two-season irrigated and one-season rain-fed rice production systems.

The aim of this study was to evaluate determinants of four diversification practises by cocoa smallholders in West Sulawesi, Indonesia: (1) growing other crops, (2) keeping livestock, (3) off-farm work for wages (4) off-farm self-employment, and the impact of diversification on welfare of community members.

Household interviews (n = 116) conducted in two subdistricts (Anreapi and Mapilli) of Polewali-Mandar District, West Sulawesi, provided quantitative data on household characteristics, crop and livestock production, income sources, expenditure and credit access. Two villages per subdistrict were included in the study, each producing cocoa as the main crop but differing in their proximity to a market town. Logistic regression was applied to identify determinants of diversification by households. Multiple linear regression (MLR) models evaluated the impact of diversification practices and other explanatory variables on two proxies of welfare (or household wealth): per capita value of durable assets (household assets other than land or livestock) and per capita expenditure for each household.

Mean per capita cocoa production in the sample was low (51 kg dry beans/annum). The mean dependency ratio (proportion of household occupants age <18 and >64) was 35%, with an average of five occupants per household. Household heads were predominantly male (95%), averaging 46 yo and 7 years of formal education. Most households (72%) depended on loans, but only 24% accessed formal loans. Significant determinants of diversification practices were access to formal credit for self-employment and subdistrict for livestock, with Mapilli subdistrict households more likely to keep livestock. Household predictors in the MLR accounted for 28% variation of the dependent, per capita value of durable goods. Off-farm self-employment and raising livestock significantly improved welfare, but growing other crops or off-farm work for wages had little effect. Other household variables demonstrated to have significant positive effects on welfare were education of the household head, proximity to a market town and land area per household.

The study was restricted to a relatively small sample size (n = 116). Studies including panel data or larger numbers of households could enable the identification of further determinants of diversification.

The study demonstrates that diversification has the potential to improve rural livelihoods, but that obstacles, especially formal credit access, may deter poorer households from diversifying their income sources.

Programs and policies that facilitate access to formal finance by smallholders could encourage diversification into small business and improve livelihoods in cocoa-dependent communities.

In the light of the decline in cocoa farm productivity in West Sulawesi, the study demonstrates the potential benefits, as well as limitations, of income diversification by smallholders.

The purpose of this paper is to examine the factors (including conservation payments) that influence household decisions to participate in off-farm work and estimate the impact of participation on household welfare under the auspices of the Grain for Green (GfG) program.

The authors used survey data from 225 farm households on the Loess Plateau and addressed the possible sample selection and endogeneity problems by employing a jointly estimated endogenous switching regression (ESR) model.

The findings of this paper are as follows: off-farm participation is positively related to households’ educational attainment and negatively related to their land resource endowment and the presence of children; participation in off-farm work exerts positive effects on household income and per capita household income, but negative effects on farm productivity; and conservation payments show no significant impact on off-farm participation, no significant impact on any of the three household welfare indicators for off-farm non-participant households, but a significantly negative impact for off-farm participant households.

This paper makes two contributions. First, the authors address the selection bias and endogeneity problem of GfG participating households by employing the ESR method and explicitly estimating the treatment effects of off-farm participation on their household welfare. Neglecting these problems leads to biased estimates and misleading policy implications. Second, this analysis stresses the important role of government in reducing market or institutional failure and other barriers that impede farmers’ efficient allocation choices instead of compensating households for conserving sloping land, shedding new light on the most effective policy options to achieve the program’s goals.

The purpose of this paper is to evaluate the effects of access to formal credit on rural household technical efficiency in China.

Based on the rural household survey data in Weifang city, Shandong province in northern China, the authors apply recent developed bootstrapped DEA approach to investigate rural technical efficiency at the household level under the consideration of off-farm activities. Rural households are then identified as credit constrained and classified as supply-side and demand-side credit constraints by applying direct elicitation method. Finally, the authors apply a tobit regression to examine the effects of credit constraints on household technical efficiency.

Rural households in China not only suffer supply-side credit constraints, but also demand-side credit constraints resulted from the transaction costs and risk rationing. The tobit regression discloses that demand-side credit constraints impose significant negative impacts on household technical efficiency.

The authors clarify the definition of credit constraints and classify the credit constraints into supply-side and demand-side credit constraints. The results of this paper have significant policy implications for rural finance policies in China.