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.     

Income distribution in rice–growing villages during the post-Green Revolution periods: the Philippine case, 1985 and 1998

This paper aims to examine changes in household income sources and its impact on household income distribution in the post‐Green Revolution periods in 1985 and 1998 in the rural Philippines. We found that there has been a structural shift of household income away from farm in favor of nonfarm labor income sources. This finding indicates that rural development is being led by nonfarm sectors. Such a shift has resulted in an increase in household income inequality as the distribution of nonfarm income has become less equal over time and was markedly more unequal than that of farm income in 1998.     

The impact of migration on rural poverty and inequality: a case study in China

Large numbers of agricultural labor moved from the countryside to cities after the economic reforms in China. Migration and remittances play an important role in transforming the structure of rural household income. This article examines the impact of rural‐to‐urban migration on rural poverty and inequality in a mountainous area of Hubei province using the data of a 2002 household survey. Since migration income is a potential substitute for farm income, we present counterfactual scenarios of what rural income, poverty, and inequality would have been in the absence of migration. Our results show that, by providing alternatives to households with lower marginal labor productivity in agriculture, migration leads to an increase in rural income. In contrast to many studies that suggest that the increasing share of nonfarm income in total income widens inequality, this article offers support for the hypothesis that migration tends to have egalitarian effects on rural income for three reasons: (1) migration is rational self‐selection—farmers with higher expected return in agricultural activities and/or in local nonfarm activities choose to remain in the countryside while those with higher expected return in urban nonfarm sectors migrate; (2) households facing binding constraints of land supply are more likely to migrate; (3) poorer households benefit disproportionately from migration.     

The role of nonfarm income in coping with the effects of drought in southern Mozambique

To reduce their dependence on subsistence agriculture, farm households in rural Africa may diversify their income sources by participating in the nonfarm sector. In years of drought, nonfarm income can also be part of the coping strategies. A multivariate sample selection model was used to analyze three years of data from a nationally representative household survey in Mozambique. The analysis was guided by the following three questions. During a drought year: (1) Do households increase their participation in nonfarm activities? (2) Are poorer households as likely as others to participate in and benefit from nonfarm activities? and (3) Which factors are associated with higher nonfarm incomes? The results suggest that households are more likely to engage in at least one nonfarm income‐generating activity during a drought year. Although poorer households are more likely to engage in nonfarm activities, they are less likely to participate in nonfarm activities of high return. The results suggest that policies reducing entry barriers (e.g., improved road infrastructure, micro‐credit schemes, and livestock promotion programs) and increasing education levels can facilitate income diversification, thus allowing rural households to better cope with the effects of drought. When designing polices, care must be taken to avoid exacerbating income inequality by targeting measures toward poorer and female‐headed households.     

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.     

Pro‐Poor Tourism as a Strategy to Fight Rural Poverty: A Critique

Pro‐poor tourism (PPT) is a development methodology that aims to use tourism as a tool for poverty reduction. PPT has been adopted by multilateral institutions, official development agencies and non‐governmental organizations (NGOs). PPT assumes an absolute definition of poverty that is based on net income. This definition allows the consideration of a tourism initiative as ‘pro‐poor’ even though the income earned by the poor population may be marginal. This paper analyses whether PPT's concept of poverty adequately addresses the issues in rural poverty. We analyse one case of unequal distribution of income generated from tourism in the 1990s (Amantaní Island, Perú). The paper concludes that PPT's concept of poverty circumvents the fact that an unequal distribution of income could imply a loss in the quality of life for the majority of a rural population: the high‐income social sector tends to increase its economic and political power to the detriment of other social sectors.     

Urbanization and poverty reduction: the role of rural diversification and secondary towns1

A rather unique panel tracking more than 3,300 individuals from households in rural Kagera, Tanzania, during 1991/1994–2010 shows that about one out of two individuals/households who exited poverty did so by transitioning out of agriculture into the rural nonfarm economy or secondary towns. Only one out of seven exited poverty by migrating to the big cities, even though those moving to the city experienced on average faster consumption growth. Further analysis of a much larger cross‐country panel of 51 developing countries cannot reject that rural diversification and secondary town development lead to more inclusive growth patterns than metropolitization. Indications are that this follows because more of the poor find their way to the rural nonfarm economy and secondary towns, than to distant cities. The development discourse would benefit from shifting beyond the rural–urban dichotomy and focusing more instead on how best to urbanize and develop its rural nonfarm economy and secondary towns.     

Income Diversification of Rural Households in China

This article examines how different patterns of farm‐level diversification affect the income levels of rural households in China. Using quantile regression analysis of data from a rural household survey, the empirical results exhibit significant differences in diversification effects across rural income strata and various structural characteristics. Diversification, especially involving nonfarm employment and migration, brings a monetary premium to low‐income rural families and an income discount to high‐income families. The policy implications suggest the encouragement of labor‐intensive enterprises in rural areas and improvement of labor quality through rural education and training programs.     

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.     

Market structure and the demand for veterinary services in India

The livestock sector is emerging as one of the fastest growing agricultural sub‐sectors in India and the expectations are that this growth could further accelerate due to growing incomes and the high income elasticity of demand for livestock products. Given the size and relatively equitable distribution of livestock in India, this presents an excellent opportunity for the country to boost rural incomes and accelerate the pace of poverty reduction. But, successful capitalisation of such opportunities requires a policy regime that facilitates growth in productivity at the farm level as well as in the processing sector. The productive potential of animals depends crucially on the quality of nutrition, genetic material and the animal health system, and on all these counts, India has a poor record. The public sector continues to be the primary provider of veterinary services, and the deteriorating fiscal situation of most state governments is making it extremely difficult to either expand the reach of these services or improve the quality of service delivery. Although, on efficiency grounds, there is good rationale for commercialised delivery of these services, serious concerns prevail in India about the equity implications of private sector delivery or full cost recovery within the government system. Evaluation of the desirability of user fees or private delivery of livestock services requires an understanding of the factors influencing the demand for these services. This paper examines the nature of demand for veterinary services in three states of India and presents first estimates of demand elasticities for veterinary services. The results indicate that price is not an important determinant of the decision to use these services. Also, practically no variation is found in price elasticities across income groups. These results suggest that the fears of sharp declines in the use of these services as a result of full cost recovery and/or private sector delivery are unfounded.     

集体林区农户收入不平等状况分析——基于辽宁省林改农户调查数据

根据辽宁省5个县3年农户数据的洛伦兹曲线、基尼系数的结果,判断出调查区农户收入差距在加大。文章运用Shapley值计算调查区农户收入结构对收入不平等状况的影响,结果显示,造成农户收入差距的主要因素是非农工作以及农民的教育水平,林改对农户收入的影响主要是通过对农户造林或是转出行为起作用的结果,林改为农户创造了较为公平的多样的收入渠道。     

经济增长与收入再分配对湖北省农村贫困变动的影响

本文通过对湖北省否受益并相关结论贫困变动由人均收入水平和收入分配不平等程度两个因素共同决定。贫困变动的增长再分配分解，考察1997—2003年间如上两个因素村贫困变动的影响方向和程度，进而分析在经济增长过程中穷人是算和比较基尼系数，考察在此期间农村居民的收入分配状况，得出对农测。     

Effects of Non‐Farm Employment on Rural Income Inequality in Developing Countries: An Investment Perspective

This paper makes several points based on a review of household survey evidence from Africa, Asia and Latin America. (i) In contrast to conventional wisdom, the evidence is very mixed as to the effect of non‐farm employment on rural income inequality. The non‐farm employment and microenterprise programmes now in vogue will not necessarily resolve rural income inequality problems and attendant social tensions nor automatically benefit the poor. (ii) Policymakers should be worried by substantial evidence of poor people's inability to overcome important entry barriers to many non‐farm activities. (iii) The main determinants of unequal access to non‐farm activities are the distribution of capacity to make investments in non‐farm assets and the relative scarcity of low capital entry barrier activities. Therefore, it is crucial for public investments and policy to favour an increase in the access of the poor to assets that allow them to overcome non‐farm employment entry barriers, (iv) It would be an error to assume that one can address asset‐poverty and inequality in the non‐farm sector without addressing farm‐side problems and vice versa.     

Land rental markets and labor productivity: Evidence from rural China

This study investigates the impact of the land rental market on labor productivity in rural China. Particular attention is given to farm and nonfarm labor productivity. Using 2012 household‐level data and a multinomial endogenous switching treatment regression technique, we find that rural households renting in farmland increased labor productivity in the farm sector by about 55%, whereas labor productivity in the nonfarm sector decreased by about 6%. We also find that rural households renting out farmland had lower labor productivity in both the farm and nonfarm sectors by 13% and 9%, respectively. More family labor transferred from the farm to the nonfarm sector after renting out land.     

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.     

How has microcredit supported agriculture? Evidence using panel data from Bangladesh

Improving agricultural productivity has received a greater attention in recent years amid concerns about rising food insecurity, population pressures, and climate change. Many believe that better access to institutional credit, spanning microcredit as well as commercial and agricultural banks, can help rural households smooth risks, and access inputs and other technology to modernize agriculture and improve farm/nonfarm linkages. We use recently augmented household panel data spanning over 20 years in Bangladesh to examine the effects of rural credit expansion (both microcredit and formal bank channels) on outcomes for agricultural households. We find that microcredit has benefited households with lower landownings, raising agricultural income from activities such as livestock rearing that require less land, as well as nonfarm income diversification for all households, but with the strongest effect for landless or near‐landless households. We do not find effects of microcredit on crop income, but do, however, find that reported supply‐side credit constraints significantly lower crop income. Borrowing by both men and women has contributed to nonfarm income growth for marginal farmers, but only men's borrowing has contributed to nonfarm income growth among higher landowning groups.     

Food insecurity,income inequality,and the changing comparative advantage in world agriculture

I would like to argue in this article that in the process of economic development in land‐poor countries in Asia, agriculture faces three distinctly different problems: food insecurity, sectoral income inequality, and the declining food self‐sufficiency associated with the declining comparative advantage in agriculture at the high‐income stage. Massive imports of food grains to Asia, if they occur, will aggravate the world food shortage, which will have significant implications for the poverty incidence in the world. I argue that in order to avoid such a tragedy, Asia should expand farm size to reduce labor cost by adopting large‐scale mechanization, sub‐Saharan Africa should realize a green revolution in grain production, and Latin America should further expand its grain production capacity.     

Rural nonfarm employment and farming: household-level linkages

This article introduces the articles in Agricultural Economics , vol. 40 no. 2 (March 2009). First, we introduce their objectives in a brief review of existing literature on developing country trends in rural income diversification, in particular rural nonfarm employment (RNFE) and its impact on farm technology choice in crops and livestock, and thus on agricultural modernization and diversification. Then we preview the key points of the articles, which use distinctive primary datasets from Albania, Bulgaria, China, India, Mexico, Nigeria, the Philippines, Senegal, and Vietnam to document the impacts of RNFE and their implications for farm technology and farm activity.     

Land for dignity and struggle for identity: Landlordism and caste in a village of south India

The paper is concerned with the contemporary relevance of caste to agrarian capitalism and the relations of dependency and allegiance it fosters in a village of Andhra Pradesh. It deploys the method of village study to examine the two-way interaction between agrarian class and caste relations and the emerging rural-based informal nonfarm economy. It elaborates the continuation of relations of debt, dependency, and political allegiance fostered by landlordism despite significant diversification to nonfarm by landlords and labour and identifies the crucial role of land inequality and the working of ritual hierarchy in locking Dalit caste in land-based relations of dependency. The paper highlights the importance of expanding the definition of landlordism as the use of social power for accumulation by embedding it in the motives and values generated by the Hindu social order. While the new wave of literature focuses attention on global capital and commodity chains to understand differentiation of rural population and ruralities, the paper emphasizes the persistent significance of landholding provincial capital in shaping class/caste relations and rural politics and argues for a course correction in thinking about the processes of globalization and new forms of labour control and stresses the continuing significance of the agrarian question.     

Cash crop choice and income dynamics in rural areas: evidence for post‐crisis Indonesia

In this article we investigate the factors affecting levels and growth of incomes in rural Indonesia following the crisis of 1997–1998. In particular, we investigate the relative roles of nonfarm incomes and productivity improvements achieved via changes in crops versus improvements on the same crops on income dynamics. Framing the article in the context of an optimal labor allocation model, relying on unique household panel data from Central Sulawesi, and using advanced panel econometric methods, we find that local innovations related to the adoption and intensification of new cash crop varieties, more specifically the shift from coffee to cocoa production, can explain a substantial part of the observed post‐crisis developments. Causal estimates of the effect of growing cocoa suggest that households were on average able to achieve about 14% higher income levels during the post‐crisis period compared to the planting of other crops, most notably coffee. Also, our results demonstrate the importance of engagement in nonfarm activities for household income growth. Comparative analyses using a nationally representative survey suggest that similar processes are at play in other parts of Indonesia.