Poverty and Vulnerability in Indonesia Before and After the Economic Crisis

It is well known that the economic crisis in Indonesia has caused the poverty rate to increase significantly. The present study finds, not only that the poverty rate increased significantly, but also that much of the increase was due to a large increase in the chronic poor category (i.e. the poor who have expected consumption below the poverty line and most likely will stay poor in the near future). Furthermore, the present study also finds that the proportion of households that have high vulnerability to poverty has more than doubled since the economic crisis. As a result, the proportion of the total vulnerable group (the current poor plus the high vulnerability group) has jumped from less than one-fifth of the population before the crisis to more than one-third after the crisis.     

Assessing Poverty Trends in Indonesia by International Poverty Lines

Indonesia has made well-documented and drastic progress in raising average incomes and reducing poverty. This article adds to the literature by providing a complementary perspective of poverty between 1984 and 2011. We discuss the evolution of poverty in Indonesia using international poverty lines—$1.25 per person per day (in 2005 purchasing power parity dollars) and $2.00 per day, and we add $10.00 per day. We generate estimates of poverty since 1984 and make projections based on various trends in growth and inequality. We find that Indonesia has the potential to become a high-income country by around 2025 and end $1.25-per-day and $2.00-perday poverty by 2030, but this will require strong economic growth and favourable changes in distribution. Looking ahead, the end of poverty in Indonesia may mean that a large proportion of the population will remain vulnerable to poverty for some time to come, suggesting that public policy priorities will need to balance insurance and risk-management mechanisms with more ‘traditional’ poverty policy.     

Updating Poverty Maps with Panel Data

This paper extends the methodology of Elbers, C., Lanjouw, J. O., & Lanjouw, P. (2003). Micro level estimation of poverty and inequality. Econometrica 71(1), 355–364 and presents a low cost approach to arriving at small area welfare estimates for non-census years. The approach requires panel data and the estimation of a relation between per capita consumption from the year of interest and household characteristics from the census year. The method is illustrated for Uganda. It is shown that with the exception of the North progress in rural poverty reduction was broadly shared during 1992–99. Areas with high initial levels of poverty appear to have benefited less from growth.     

Estimating the Impact of Covid-19 on Poverty in Indonesia

Covid-19 has infected and will continue to infect millions of people all over the world. The economic impact is predicted to be large and millions of people will be pushed into poverty. In this paper, we estimate the impact of Covid-19 on poverty in Indonesia. The economic impact is expected to be severe, reducing the economic growth rate projected for 2020 from about 5% to between 4.2% and –3.5%. We find that under the best-case scenario, the poverty rate will increase from 9.2% in September 2019 to 9.7% by the end of 2020, pushing 1.3 million more people into poverty. Under the worst-case scenario, the poverty rate will increase to 16.6%, close to the level seen in 2004 when the poverty rate was 16.7%. This means that 19.7 million more people will become poor, substantially reversing Indonesia’s progress in reducing poverty. The implication is that Indonesia will need to expand its social protection programs to assist the new poor as well as the existing poor.     

Poverty incidence and economic growth in Southeast Asia

The countries of Southeast Asia have achieved very large reductions in absolute poverty incidence over recent decades. This paper examines the relationship between this accomplishment and the rate of economic growth. It develops a time series of available data on the headcount measure of poverty incidence for Thailand, Indonesia, Malaysia, and the Philippines over the period from the 1960s to 1999, in aggregate and in both rural and urban areas. It then uses this pooled data set to analyze the economic determinants of poverty incidence, the impact of the 1997 economic crisis and the degree to which poverty will be affected by alternative hypothetical recovery paths.     

Intragenerational Economic Mobility in Indonesia: A Transition from Poverty to the Middle Class in 1993–2014

Economic mobility, especially through expansion of the middle class, will dominate the future of Indonesia’s development agenda. Based on data from five waves of the Indonesia Family Life Survey (IFLS), we found that (1) poverty decreased significantly between 1993 and 2014, from 86.1% to 20.2%, while the middle class grew by almost nine times; (2) 34.4% of the poor moved into the middle class, but 11.9% were still categorised as chronically poor; (3) 42.3% of the middle class did not move into the upper class; (4) the middle and upper classes are vulnerable and easily fall into the lower classes. Our econometric estimations confirm that the drivers of economic mobility are educational attainment, formal employment, water and electricity supply, land ownership, and health investment. These findings suggest that investment in human and physical capital are the two main strategies to expand the middle class.     

Revisiting the Impact of Consumption Growth and Inequality on Poverty in Indonesia during Decentralisation

This article analyses the consumption growth elasticity and inequality elasticity of poverty in Indonesia, with a particular focus on the decentralisation period. Using provincial panel data, we show that the effectiveness of growth in alleviating poverty across provinces was greater during decentralisation—that is, between 2002 and 2010—than at any other point since 1984. The growth elasticity of poverty since 2002 is estimated to have been –2.46, which means that a 10% increase in average consumption per capita would have reduced the poverty rate by almost 25%. However, we also find that rising income inequality negated a quarter to a third of the 5.7-percentage-point reduction in the headcount poverty rate. This increasing inequality has contributed to a lower level of pro-poor growth than that maintained in Indonesia before decentralisation.     

Agro-clusters and Rural Poverty: A Spatial Perspective for West Java

Neighbouring economies are likely to influence one another. The concentration of farming activities referred to as an ‘agro-cluster’ generates opportunities for income and employment in a given region and its surrounding area. We analyse the link between poverty rates and agro-clusters by accounting for spatial spillovers. To quantify agroclusters, we employ one input-oriented and one output-oriented measure. Our analysis applies six spatial econometric specifications and focuses on 545 subdistricts of West Java, where about 10% of the population live in poverty. We find that the concentration of agricultural employment substantially reduces poverty in a subdistrict as well as in neighbouring subdistricts. We also find that specialisation in crop outputs has positive impacts on poverty reduction and that localisation externalities are fundamental to agriculture's success. These findings imply that policy interventions may be applied in a spatially selective manner because they will generate spatial-spillover effects on poverty reduction in surrounding areas.     

Changes in Household Welfare,Poverty and Inequality During the Crisis

This study provides evidence about changes in the distribution of living standards among Indonesian households during the economic crisis. It uses consumption expenditure data from a panel of households that were surveyed in May 1997, just before the onset of the crisis, and then again in August 1998, about a year after the crisis began. A household-specific deflator is used to make nominal consumption expenditures comparable across this period. The results suggest that there was a considerable drop in household welfare during the economic crisis. Average per capita expenditures fell significantly, and at the same time inequality increased. The poverty rate also appears to have doubled from the pre-crisis level. However, transitions into and out of poverty before and after the crisis reveal remarkable fluidity.     

精准扶贫框架下的城市贫困治理

贫困问题是全球面临的重大难题,亦是古今中外治国理政的大事。我国为响应全球治理贫困的需求,同时为化解国内严峻的贫困形势,2013年在农村地区开始实行"精准扶贫"战略,实践取得了巨大成功。反观城市贫困人口的数量却一直居高不下,不仅缺乏精准化救助理念与形式,而且在治理主体与体系方面也缺少精准性,为实现城市与乡村的协调发展,也为实现共同富裕的目标,在分析精准扶贫对城市反贫困的契合基础上,欲运用精准扶贫作为指导,从救助理念、形式、主体、体系这四个方面进行精准化设计,实现精准性城市贫困治理。     

Poverty Comparisons Over Time and Across Countries in Africa

We use Demographic and Health Surveys (DHS) to compare “poverty” at two or more points in time within and between African countries. Our welfare measure is an index resulting from a factor analysis of various household characteristics, durables, and household heads’ education. An advantage of this measure is that for intertemporal and intraregional comparisons, we need not rely on suspect price deflators and currency conversion factors. The wide availability and similarity of questionnaires of the DHS facilitate comparisons over both time and countries. Our results generally show declines in poverty during the previous decade, largely due to improvements in rural areas.