Person:
Lanjouw, Peter Frederik
Author Name Variants
Fields of Specialization
Poverty and Inequality Analysis; Rural Development; Small Area Estimation; Village Studies
Degrees
Departments
Poverty and Inequality Team, Development Economics Research Group, World Bank
Externally Hosted Work
Contact Information
Last updated
January 31, 2023
Biography
Peter Lanjouw, a Dutch national, is Research Manager of the Poverty and Inequality Team in the Development Economics Research Group of the World Bank. He is also an Honorary Fellow of the Amsterdam Institute of International Development, Netherlands. He completed his Ph.D. in economics from the London School of Economics in 1992. From August 2003 until August 2005, he was a visiting scholar at the Agriculture and Resource Economics department at UC Berkeley, and he held the appointment of Professor of Economics at the VU University of Amsterdam between September 1998 and May 2000. He has taught in the Masters in Development Economics program at the University of Namur, Belgium and has also taught at the Foundation for the Advanced Study of International Development in Tokyo, Japan. His research focuses on various aspects of poverty and inequality measurement as well as on rural development issues.
Publication Search Results
1 - 4 of 4
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Publication
Poverty in India during the 1990s : A Regional Perspective
(World Bank, Washington, DC, 2003-10)The authors provide estimates of poverty at the regional level in India, spanning the 1990s. Such estimates have not been previously available due to concerns regarding non-comparability of the 1993-94 and 1999-2000 National Sample Survey Organization (NSSO) household survey data. They implement an adjustment procedure to restore comparability based on a methodology developed by Elbers and others (2003). The results indicate a less rapid decline of poverty, at the all-India level than has been suggested by Deaton and Dre (2002), based on a related adjustment methodology. The authors attempt to uncover the source of disagreement across these procedures, by probing a number of their underlying assumptions. -
Publication
Non-Farm Diversification, Poverty, Economic Mobility and Income Inequality : A Case Study in Village India
(World Bank, Washington, DC, 2013-05)This paper assembles data at the all-India level and for the village of Palanpur, Uttar Pradesh, to document the growing importance, and influence, of the non-farm sector in the rural economy between the early 1980s and late 2000s. The suggestion from the combined National Sample Survey and Palanpur data is of a slow process of non-farm diversification, whose distributional incidence, on the margin, is increasingly pro-poor. The village-level analysis documents that the non-farm sector is not only increasing incomes and reducing poverty, but appears as well to be breaking down long-standing barriers to mobility among the poorest segments of rural society. Efforts by the government of India to accelerate the process of diversification could thus yield significant returns in terms of declining poverty and increased income mobility. The evidence from Palanpur also shows, however, that at the village-level a significant increase in income inequality has accompanied diversification away from the farm. A growing literature argues that such a rise in inequality could affect the fabric of village society, the way in which village institutions function and evolve, and the scope for collective action at the village level. Failure to keep such inequalities in check could thus undermine the pro-poor impacts from the process of structural transformation currently underway in rural India. -
Publication
Revisiting Between-group Inequality Measurement : An Application to the Dynamics of Caste Inequality in Two Indian villages
( 2010-06-01)Standard approaches to decomposing how much group differences contribute to inequality rarely show significant between-group inequality, and are of limited use in comparing populations with different numbers of groups. This study applies an adaptation to the standard approach that remedies these problems to longitudinal household data from two Indian villages -- Palanpur in the north, and Sugao in the west. The authors find that in Palanpur the largest scheduled caste group failed to share in the gradual rise in village prosperity. This would not have emerged from standard decomposition analysis. However, in Sugao the alternative procedure did not yield any additional insights because income gains applied relatively evenly across castes. -
Publication
Poverty Decline, Agricultural Wages, and Non-Farm Employment in Rural India 1983–2004
( 2009-03-01)The authors analyze five rounds of National Sample Survey data covering 1983, 1987/8, 1993/4, 1999/0, and 2004/5 to explore the relationship between rural diversification and poverty. Poverty in rural India declined at a modest rate during this period. The authors provide region-level estimates that illustrate considerable geographic heterogeneity in this progress. Poverty estimates correlate well with region-level 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. Although 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 the survey period by 2004. This all-India trajectory masks widely varying trends across states. During this period, the rural non-farm sector grew modestly, mainly between the last two survey rounds. Regular non-farm employment remains largely associated with education levels and social status that are rare among the poor. However, casual labor and self-employment in the non-farm sector reveal greater involvement by disadvantaged groups in 2004 than in the preceding rounds. The implication for poverty is not immediately clear - the poor may be pushed into low-return casual non-farm activities due to lack of opportunities in the agricultural sector rather than being pulled by high returns offered by the non-farm sector. Econometric estimates reveal that expansion of the non-farm 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 non-farm employment expansion; and an indirect impact attributable to the positive effect of non-farm 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.