The Persistence of Income Shocks: Evidence from Rural Indonesia

This paper estimates the persistence of transient income shocks to farm households in rural Indonesia. Persistence is defined as the elasticity of a household's 1997 household per capita income with respect to its 1993 per capita income, controlling for time‐invariant characteristics of the household. Local rainfall levels are used as an exogenous source of transitory variation in 1993 income. Four main conclusions emerge. First, roughly 30% of household income shocks remain after four years. Second, the persistence of negative and positive shocks is approximately equal; if anything, positive shocks last longer. Third, neither positive nor negative income shocks disproportionately affect poor households. Finally, measurement error in income and unobserved household heterogeneity are important sources of bias. These findings cast doubt on common arguments advocating public intervention to stabilize or redistribute income, and suggest that anti‐poverty policy should address more permanent causes of household poverty.     

Linkages between poverty and income inequality of urban–rural sector: a time series analysis of India’s urban-based aspirations from 1951 to 1994

This study examines the impact of urban and rural development on poverty and inequality in India before economic reform. The methodology comprises two dimensions. Modern time series methods are used to uncover the dynamic patterns of urban–rural poverty and income inequality. A machine-learning algorithm is used to determine the causal structure among the development indicators. Our results show that reductions in rural poverty appear to be a more effective in reducing both urban and rural poverty, although the costs of achieving these reductions have not been considered.     

Poverty dynamics in rural China revisited: do assets matter?

This paper uses an asset-based approach to examine poverty dynamics in rural China over the period 1989–2006. The analysis documents a significant structural component in the poverty dynamics of households. The lack of profitable agricultural asset accumulation plays an unneglectable role in causing households to be trapped in persistent poverty. The escape from poverty is increasingly dominated by stochastic upward mobility rather than by structural movement in terms of asset accumulation. This could threaten the prospect of poverty reduction in rural China. It is argued that future reform and policy-making should pay more attention to building households’ asset base.     

Social networks near and far: The role of bonding and bridging social capital for assets of the rural poor

With formal insurance and credit markets either absent or inaccessible to rural agents in most poor rural economies, social networks play a highly important role in mitigating the risks that agricultural households face. These kinds of informal insurance schemes are presumed to be most effective in the face of idiosyncratic risk. However, social mechanisms also exist in developing countries that may reduce locally correlated risk such as the adverse economic effects of climatic conditions that affect multiple residents in a village. This paper analyzes the role of localized (bonding) and of spatially dispersed (bridging) social capital in mitigating the impact of idiosyncratic and of locally correlated shocks on farm households’ livestock endowments. Using dynamic panel generalized method of moments (GMM) system estimation with seven‐period panel dataset of over 400 households, we find that bonding social capital is able to protect households’ livestock assets against idiosyncratic shocks, but bridging social capital does not play a role in mitigating the impact of correlated shocks. The results hold up to multiple robustness checks. A test of different hypotheses about the nature of these assets’ trajectories rejects the asset poverty trap hypothesis, and instead finds that livestock asset dynamics are characterized by a single stable equilibrium.     

Consumption smoothing in Russia1

Using a panel from the Russian Longitudinal Monitoring Survey (1994–2004), this paper investigates to what extent Russian households have been able to maintain their living standards while suffering income shocks. Consumption smoothing is modelled by means of an equilibrium correction mechanism, which disentangles short‐run dynamics and long‐run equilibrium adjustments. GMM estimation is used to control for individual household effects in the presence of dynamics. Additionally, we differentiate between food and non‐food consumption, positive and negative shocks, rural and urban areas, and several levels of poverty risk. We find that dynamics are important in the consumption equation, and that estimates are sensitive to imputation errors in home food production. No strong claims can be made regarding heterogeneity in smoothing behaviour.     

Challenges in Measuring Poverty and Understanding its Dynamics: A South Asian Perspective

South Asia’s success at reducing poverty does not imply that the topic has become passé. Poverty rates are by now low, but this is because poverty lines are low as well. And the assessment of living standards and their dynamics are blurred by measurement and interpretation challenges. This paper relies mostly on South Asian examples to highlight four tensions: poorer versus richer households, rural versus urban locations, monetary versus non‐monetary dimensions of wellbeing, and household characteristics versus context. The discussion is conducted against the backdrop of the two analytical approaches with South Asian roots that have shaped the debate for decades. This review leads to three main recommendations: household survey data has to be exploited in a more thorough manner, data that is increasingly available from other sources needs to be incorporated more systematically in the analysis, and the multiple dimensions of wellbeing should be better integrated in a common framework.     

Impact of remittances on male and female labor force participation patterns in Africa: Quasi‐experimental evidence from Ghana

In this paper, we examine how remittances, an outcome of labor mobility, affect labor market activities in Ghana using detailed household and individual‐level data. This is important, considering the extensive literature that has documented the remittance–poverty reduction nexus. First, we find a strong negative association between household remittance‐receiving status and individual labor supply decisions using instrumental variable estimation techniques. Second, we find the depressing effect of remittances on labor supply decisions to be much stronger in rural areas. Rural women who reside in remittance‐receiving households are less likely to be in the labor force compared with those who do not reside in such households. Remittances have very little impact on labor supply decisions in urban areas. Our findings support that remittances can exacerbate long‐term poverty reduction in rural areas through lower labor force participation, and as such rural‐based and gender‐based interventions may be needed to help redirect remittance income.     

中国农村居民贫困测度研究——基于山西的调查分析

运用Atkinson（1987）单维贫困测量与Alkire和Foster（2008）多维贫困测量相结合的方法,对山西农村居民贫困情况进行了测度。实证结果表明：从单维视角看,山西农村贫困主要体现在饮用水、消费、收入三个方面,全省三个主要贫困区存在差异;从多维视角来看,山西省农村居民存在多维贫困现象,考虑的贫困维度越多,贫困程度越严重。东部太行山区与北部高寒冷凉区的饮用水问题也比较严重,北部高寒冷凉区相比其他两个地区其教育问题较为突出,北部高寒冷凉区与西部吕梁山区的住房问题也需要关注。因此,山西今后要从多维度识别和瞄准贫困,针对地区贫困特点予以扶持。     

Covariate and Idiosyncratic Shocks and Coping Strategies for Poor and Non-poor Rural Households in India

The objective of the paper is to track the association between different type of shocks experienced by rural households and corresponding coping strategies opted by them as they are, not only exposed to household-level and community level shocks, but also, lack effective risk management strategies which make them vulnerable to get into chronic poverty. A probit analysis has been used to articulate the comparative static distinction of risk management strategies between poor and non poor rural households using Additional Rural Incomes Survey/Rural Economic and Demographic Survey (ARIS/REDS) data surveyed by National Council of Applied Economic Research (NCAER) in rural India across 17 states to get a comparative static analysis. Households, generally, withdraw savings, seek remittances from migrant family members, take loan from formal and informal lenders and sell their existing assets and participate in Government sponsored welfare based programs to control after effect of shocks. Comparatively non-poor rural households could build up safety net (precautionary measure) to cope with price rise and other sudden shocks. But, extremely poor, generally, if don’t get help from relatives or can’t borrow from informal sources, ultimately starve at the time of sudden shocks. The welfare based government programs fail to arrest this extreme situation of grief during the idiosyncratic shocks.

     

Adding value through the mechanization of post-harvest cassava processing,and its impact on household poverty in north-eastern Zambia

This article investigates the impact of adopting a mechanized cassava processing system on household poverty levels in Zambia. An Foster, Greer and Thorbecke (FGT) poverty measure was used to compare poverty levels among households using a mechanized cassava processing system against those households using a nonmechanized process. Based on the FGT poverty measure’s specifications, a significantly lower poverty status of 49% was found among households using the mechanized process when compared to the 58% found among households using the nonmechanized process. The significant factors contributing to these differences in poverty levels include whether households are using a mechanized process or not, the number of years’ schooling among household members, the number of years’ farming experience, household income and membership of associations. The study concludes that the mechanization of cassava processing, particularly if done on the right scale, can transform primary production activities, in turn leading to higher incomes and reduced poverty levels in rural villages. Thus, policies should be introduced aimed at encouraging the promotion of mechanized post-harvest cassava processing technologies among rural households, so as to enhance crop productivity and household income levels, as well as reduce poverty among rural households.     

健康冲击对中国老年家庭资产组合选择的影响

利用中国健康与养老追踪调查(CHARLS)数据,研究健康冲击对老年家庭资产组合的影响。把健康冲击分为急性健康冲击和慢性健康冲击两类。遭受急性健康冲击时,老年家庭持有的风险资产减少;遭受慢性健康冲击时,投资于耐用消费性资产的量减少,但拥有房产价值的量增加;健康冲击对城乡老年家庭资产组合的影响不尽相同。     

"送猪崽"与"折现金":我国产业精准扶贫的路径分析与政策模拟研究

产业扶贫旨在将贫困户的生产活动纳入社会产业大循环,因此其一直是全世界扶贫工作的重要方式和主要目标之一.我国产业精准扶贫出现了两条新路径:一是GTP路径,即向贫困户送猪崽、鸡苗和良种等资本,直接将贫困户的生产纳入当地的产业体系;二是GSP路径,即将扶贫资金折合现金并由贫困户自己决定投资项目和选择产业.文章构建了包括贫困户和非贫困户的微观主体行为模型以及基于农村公平和效率的农村福利模型,分别研究了这两条新路径上贫困户福利和农村福利的动态演变过程,然后使用系统动力学模型进行了政策模拟,拟探索出我国产业精准扶贫的最优路径及其政策支持空间.结果显示:在第3~4年的时间内,GSP路径要优于GTP,但是超过4年,GTP路径上的贫困户福利和农村福利就会累进性超过GSP.而且,在GTP路径上的时间越长,扶贫效果就越好.在中长期,提高贫困户的技术水平,增加贫困户的初始资本额是进一步提高GTP路径上贫困户福利和农村福利水平的重要环节.文章的结论对于提高我国精准扶贫的理论自信,进一步完善我国产业精准扶贫政策体系具有一定的启示.     

中国城镇家庭能源贫困评估*——基于微观调查数据的研究

我国扶贫工作重点已进入新阶段,从消除绝对贫困向缓解发展不平衡、不充分的相对贫困转变,从解决收入贫困向解决多维贫困转变,从重点解决农村贫困问题向统筹城乡扶贫转变。能源是人民生活质量的重要指标,能有效反映福利水平。了解我国城镇家庭能源消费的基本特征、准确测度能源贫困水平与分布,有助于为今后扶贫工作提供资料基础和科学管理依据。本文构建消费者能源消费决策分析框架,并运用第一次中国家庭能源消费调查数据,考察居民收入与能源消费之间的关系,并对中国城镇家庭能源贫困状况进行测度。研究发现,居民收入与能源消费之间存在S型非线性关系,能源价格、家庭特征、地域特征等因素在能源消费决策中都发挥重要影响。我国城镇家庭相对能源贫困较为严重,主要表现为能源可支付性问题。能源贫困率在20%左右,其中电力贫困程度更为严重,超过25%。家庭收入增长、户主受教育程度提高、城市电力基础设施的普及、城市环境规制水平的提升会显著降低城镇家庭陷入能源贫困的可能性,而电力价格上涨会显著增加城镇家庭陷入能源贫困的概率。     

二元财政的制度变迁：基于路径依赖的视角

植根于二元经济结构的二元财政制度总是执行有利于城镇部门发展，而且有损于农业部门发展的财政税收政策。这不仅造成了农村居民的长期贫困，而且还持续拉大城乡差距。基于新制度经济学的制度变迁分析结果显示，二元财政的制度安排内含自我增强机制，其变迁具有明显的路径依赖特征，所以，农村居民的贫困必然具有长期性，城乡差距也会持续拉大。因此，必须根据中国经济现实，对二元财政制度采取边际调整的改革措施和借助市场化的手段改善其赖以存在的经济环境，方可在长期内从整体上推动二元财政制度变迁，实现城乡平等的财政制度。     

医疗保险与城乡反贫困:1989-2006

文章利用中国健康与营养调查(CHNS)数据,估计了1989-2006年医疗保险对中国城乡家庭的反贫困效应。结果发现:发生灾难性卫生支出的城乡家庭比例较高,最穷的群体其医疗费用超过收入的比例增加,医疗保险对减少收入不平等只起到微弱作用。TIP贫困曲线表明,近几年,医疗保险补偿后,城乡患病家庭的贫困并没有减轻,医疗保险在减少贫困上的作用很小。分析贫困特征的多元回归模型显示,家庭成员数量、教育程度、抚养比率、参保人数等都影响了贫困,而条件多元回归模型则显示,医疗保险对贫困的变动没有影响。     

Risk coping and starvation in rural China

We use a 3-year panel from two poor provinces in Southern China to examine the nature of risks to which rural households are exposed and their ability to insure calorie consumption and spending of total consumption against idiosyncratic shocks to their income. We find that idiosyncratic risks are indeed the main source of income variation in the sample, consumption is better insured than total spending. Unlike total spending where full insurance is rejected in most cases, calorie intake is completely insured for both land-rich and land-poor households in both provinces. Access to even modest amounts of land significantly enhances households’ ability to guard against total spending. Land-rich households are much better insured against total spending than land-poor households. The results are robust across model specifications although Generalized Method of Moments (GMM) estimations increase the magnitude of difference in total spending between the land-rich and the land-poor. Policies targeting poverty reduction and improving land use rights and land access to the poor could potentially improve the overall risk sharing ability of the rural poor.     

URBAN POVERTY IN CHINA AND ITS CONTRIBUTING FACTORS, 1986–2000

Food price increases and the introduction of radical social welfare and enterprise reforms during the 1990s generated significant changes in the lives of urban households in China. During this period urban poverty increased considerably. This paper uses household level data from 1986 to 2000 to examine what determines whether households fall below the poverty line over this period and investigates how the impact of these determinants has changed through time. We find that large households and households with more nonworking members are more likely to be poor, suggesting that perhaps the change from the old implicit price subsidies, based on household size, to an explicit income subsidy, based on employment, has worsened the position of large families. Further investigation into regional poverty variation indicates that over the 1986–93 period food price increases were also a major contributing factor. Between 1994 and 2000 the worsening of the economic situation of state sector employees contributed to the poverty increase.     

Poverty Dynamics,Violent Conflict,and Convergence in Rwanda

This paper analyzes the poverty impact of the violent events that affected Rwanda in the 1990s. The main objective of the paper is to identify systematically potential mechanisms linking violent conflict with changes in poverty across provinces and households in Rwanda before and after a decade of violence. In accordance with emerging literature on the long‐term economic effects of violent conflict, we find empirical evidence for economic convergence between richer and poorer Rwandan provinces and households following the conflict shocks. Using a small but unique panel of households surveyed before and after the conflict period, we find that households whose house was destroyed or who lost land ran a higher risk of falling into poverty. We do not find much evidence for an economic effect of violent deaths at the household level due to substitution effects of labor within the household. Non‐violent deaths however seem to increase income per adult equivalent for the survivors. Results are shown to be robust to sample selection and IV models.     

MEASURING POVERTY USING BOTH INCOME AND WEALTH: A CROSS‐COUNTRY COMPARISON BETWEEN THE U.S. AND SPAIN

We study the correspondence between a household's income and its vulnerability to income shocks in two developed countries: the U.S. and Spain. Vulnerability is measured by the availability of wealth to smooth consumption in a multidimensional approach to poverty, which allows us to identify three groups of households: the twice‐poor group, which includes income‐poor households who lack an adequate stock of wealth; the group of protected‐poor households, which are all those income‐poor families with a buffer stock of wealth they can rely on; and the vulnerable‐non‐poor group, including households above the income‐poverty line that do not hold any stock of wealth. Interestingly, the risk of belonging to these groups changes over the life‐cycle in both countries while the size of the groups differs significantly between Spain and the U.S., although this result is quite sensitive to whether the housing wealth component is included in the wealth measure or not.