Publication:
The Income Lever and the Allocation of Aid

Loading...
Thumbnail Image
Files in English
English PDF (495.34 KB)
277 downloads
English Text (79.15 KB)
48 downloads
Published
2013-02
ISSN
Date
2013-12-02
Author(s)
Ceriani, Lidia
Editor(s)
Abstract
The paper develops a concept and a measure of the monetary capacity of a country to reduce its own poverty and shows how these tools can be used to guide budget allocations or the allocation of aid. The authors call this concept the income lever. Making use of tax and distributive theory, the paper shows how different redistributive criteria correspond to the different normative criteria of the income lever. It then constructs various income lever indexes based on these criteria and uses such indexes to rank countries according to their own capacity to reduce poverty. As shown in the empirical application, this methodology can provide an equitable tool to rank countries or regions when it comes to budget or aid allocations, whether it is the allocation of social funds within the European Union (North-North transfers) or the allocation of aid from rich to poor countries (North-South transfers). The findings indicate that the allocation of social funds in the European Union follows closely the rank that results from the income lever indexes proposed while the allocation of aid to Sub-Saharan African countries does not.
Link to Data Set
Citation
Ceriani, Lidia; Verme, Paolo. 2013. The Income Lever and the Allocation of Aid. Policy Research Working Paper;No.6367. © World Bank. http://hdl.handle.net/10986/16327 License: CC BY 3.0 IGO.
Associated content
Report Series
Report Series
Other publications in this report series
  • Publication
    The Economic Value of Weather Forecasts: A Quantitative Systematic Literature Review
    (Washington, DC: World Bank, 2025-09-10) Farkas, Hannah; Linsenmeier, Manuel; Talevi, Marta; Avner, Paolo; Jafino, Bramka Arga; Sidibe, Moussa
    This study systematically reviews the literature that quantifies the economic benefits of weather observations and forecasts in four weather-dependent economic sectors: agriculture, energy, transport, and disaster-risk management. The review covers 175 peer-reviewed journal articles and 15 policy reports. Findings show that the literature is concentrated in high-income countries and most studies use theoretical models, followed by observational and then experimental research designs. Forecast horizons studied, meteorological variables and services, and monetization techniques vary markedly by sector. Estimated benefits even within specific subsectors span several orders of magnitude and broad uncertainty ranges. An econometric meta-analysis suggests that theoretical studies and studies in richer countries tend to report significantly larger values. Barriers that hinder value realization are identified on both the provider and user sides, with inadequate relevance, weak dissemination, and limited ability to act recurring across sectors. Policy reports rely heavily on back-of-the-envelope or recursive benefit-transfer estimates, rather than on the methods and results of the peer-reviewed literature, revealing a science-to-policy gap. These findings suggest substantial socioeconomic potential of hydrometeorological services around the world, but also knowledge gaps that require more valuation studies focusing on low- and middle-income countries, addressing provider- and user-side barriers and employing rigorous empirical valuation methods to complement and validate theoretical models.
  • Publication
    The Macroeconomic Implications of Climate Change Impacts and Adaptation Options
    (Washington, DC: World Bank, 2025-05-29) Abalo, Kodzovi; Boehlert, Brent; Bui, Thanh; Burns, Andrew; Castillo, Diego; Chewpreecha, Unnada; Haider, Alexander; Hallegatte, Stephane; Jooste, Charl; McIsaac, Florent; Ruberl, Heather; Smet, Kim; Strzepek, Ken
    Estimating the macroeconomic implications of climate change impacts and adaptation options is a topic of intense research. This paper presents a framework in the World Bank's macrostructural model to assess climate-related damages. This approach has been used in many Country Climate and Development Reports, a World Bank diagnostic that identifies priorities to ensure continued development in spite of climate change and climate policy objectives. The methodology captures a set of impact channels through which climate change affects the economy by (1) connecting a set of biophysical models to the macroeconomic model and (2) exploring a set of development and climate scenarios. The paper summarizes the results for five countries, highlighting the sources and magnitudes of their vulnerability --- with estimated gross domestic product losses in 2050 exceeding 10 percent of gross domestic product in some countries and scenarios, although only a small set of impact channels is included. The paper also presents estimates of the macroeconomic gains from sector-level adaptation interventions, considering their upfront costs and avoided climate impacts and finding significant net gross domestic product gains from adaptation opportunities identified in the Country Climate and Development Reports. Finally, the paper discusses the limits of current modeling approaches, and their complementarity with empirical approaches based on historical data series. The integrated modeling approach proposed in this paper can inform policymakers as they make proactive decisions on climate change adaptation and resilience.
  • Publication
    Labor Demand in the Age of Generative AI: Early Evidence from the U.S. Job Posting Data
    (Washington, DC: World Bank, 2025-11-18) Liu, Yan; Wang, He; Yu, Shu
    This paper examines the causal impact of generative artificial intelligence on U.S. labor demand using online job posting data. Exploiting ChatGPT’s release in November 2022 as an exogenous shock, the paper applies difference-in-differences and event study designs to estimate the job displacement effects of generative artificial intelligence. The identification strategy compares labor demand for occupations with high versus low artificial intelligence substitution vulnerability following ChatGPT’s launch, conditioning on similar generative artificial intelligence exposure levels to isolate substitution effects from complementary uses. The analysis uses 285 million job postings collected by Lightcast from the first quarter of 2018 to the second quarter of 2025Q2. The findings show that the number of postings for occupations with above-median artificial intelligence substitution scores fell by an average of 12 percent relative to those with below-median scores. The effect increased from 6 percent in the first year after the launch to 18 percent by the third year. Losses were particularly acute for entry-level positions that require neither advanced degrees (18 percent) nor extensive experience (20 percent), as well as those in administrative support (40 percent) and professional services (30 percent). Although generative artificial intelligence generates new occupations and enhances productivity, which may increase labor demand, early evidence suggests that some occupations may be less likely to be complemented by generative artificial intelligence than others.
  • Publication
    External Finance in Emerging Markets and Developing Economies: A Tale of Differences in Vulnerabilities
    (Washington, DC: World Bank, 2025-12-04) Kim, Dohan; Milesi-Ferretti, Gian Maria
    Over the past two decades, many emerging markets and developing economies have been viewed as increasingly resilient to external financial shocks. This paper assesses whether such resilience is broadly shared across emerging markets and developing economies by classifying them into three tiers based on economic size, income level, institutional strength, and financial integration. The analysis shows that first-tier emerging markets and developing economies have improved their external balance sheets and reduced dependence on official support. However, second- and third-tier emerging markets and developing economies have experienced growing external vulnerabilities since the global financial crisis, marked by rising external debt liabilities and declining foreign exchange reserves. Using a range of indicators, including sovereign defaults, arrears, partial defaults, and International Monetary Fund lending, the paper identifies episodes of external financial distress and shows that distress remains widespread among second- and third-tier emerging markets and developing economies. The empirical analysis confirms that key components of the net international investment position—especially external debt and foreign exchange reserves—predict the onset of external financial distress, with institutional quality shaping the impact. Weak institutions amplify risks, while strong institutions mitigate them. These findings highlight the importance of recognizing heterogeneity across emerging markets and developing economies, strengthening institutional quality alongside external balance-sheet management, and rebuilding buffers to safeguard against renewed global financial stress.
  • Publication
    Rigging the Scores: Corruption through Scoring Rule Manipulation in Public Procurement Auctions
    (Washington, DC: World Bank, 2025-12-02) Chen, Qianmiao
    Public procurement is highly susceptible to corruption, especially in developing countries. Although open auctions are widely adopted to curb it, this paper finds that corruption remains prevalent even within this procurement format. Procurement officers can collaborate with firms to manipulate scoring rules, ensuring predetermined winners, while corrupt firms submit noncompetitive bids to meet minimum bidder requirements. Using extensive data from Chinese public procurement auctions, the paper introduces model-driven statistical tools to detect such corruption, identifying a corruption rate of 65 percent. A procurement expert audit survey confirms the tools’ reliability, with a 91 percent probability that experts recognize suspicious scoring rules when flagged. Firm-level analysis reveals that local, state-owned, and less productive firms are favored in corrupt auctions. Lastly, the paper explores policy implications. Analysis of the national anti-corruption campaign since 2012 suggests that general investigations may be insufficient to address deeply ingrained corrupt practices. Using counterfactuals based on an estimated structural model, the paper shows that implementing anonymous call-for-tender evaluations could improve social welfare by 10 percent by eliminating suspicious rules and encouraging broader participation.
Journal
Journal Volume
Journal Issue

Related items

Showing items related by metadata.

  • Publication
    Rent Imputation for Welfare Measurement : A Review of Methodologies and Empirical Findings
    (World Bank Group, Washington, DC, 2014-11) Balcazar, Carlos Felipe; Ceriani, Lidia; Olivieri, Sergio; Ranzani, Marco
    As well acknowledged in the literature, housing is often the dominant consumption good for most households. As such, it should be included in a comprehensive welfare aggregate to measure people's living standards accurately. However, assigning a value to the flow of the dwelling for homeowners and nonmarket tenants is problematic. Over the last decades several estimation techniques have been proposed and implemented by practitioners covering from very simple to sophisticated approaches. This paper provides an extensive review of different methods to impute rent, commonly used for welfare analysis. It also gives an overview of how this problem has been addressed by other economic domains, namely national accounts, price indices, purchasing power parities, and taxation. Finally, after setting up a theoretical framework, the paper summarizes the empirical findings about the distributional impact of including imputed rents in welfare aggregates.
  • Publication
    Life Satisfaction and Income Inequality
    (2011-02-01) Verme, Paolo
    Do people care about income inequality and does income inequality affect subjective well-being? Welfare theories can predict either a positive or a negative impact of income inequality on subjective well-being and empirical research has found evidence on a positive, negative or non significant relation. This paper attempts to determine some of the possible causes of such empirical heterogeneity. Using a very large sample of world citizens, the author tests the consistency of income inequality in predicting life satisfaction. The analysis finds that income inequality has a negative and significant effect on life satisfaction. This result is robust to changes in regressors and estimation choices and also persists across different income groups and across different types of countries. However, this relation is easily obscured or reversed by multicollinearity generated by the use of country and year fixed effects. This is particularly true if the number of data points for inequality is small, which is a common feature of cross-country or longitudinal studies.
  • Publication
    Understanding Poverty Reduction in Sri Lanka
    (World Bank, Washington, DC, 2015-10) Ceriani, Lidia; Inchauste, Gabriela; Olivieri, Sergio
    This paper quantifies the contributions to poverty reduction observed in Sri Lanka between 2002 and 2012/13. The methods adopted for the analysis generate entire counterfactual distributions to account for the contributions of demographics, labor, and non-labor incomes in explaining poverty reduction. The findings show that the most important contributor to poverty reduction was growth in labor income, stemming from an increase in the returns to salaried nonfarm workers and higher returns to self-employed farm workers. Although some of this increase in earnings may point to improvements in productivity, defined as higher units of output per worker, some of it may simply reflect increases in food and commodity prices, which have increased the marginal revenue product of labor. To the extent that there have been no increases in the volumes being produced, the observed changes in poverty are vulnerable to reversals if commodity prices were to decline significantly. Finally, although private transfers (domestic and foreign) helped to reduce poverty over the period, public transfers were not as effective. In particular, the reduction in the real value of transfers of the Samurdhi program during 2002 to 2012/13 slowed down poverty reduction.
  • Publication
    Do Poorer Countries Have Less Capacity for Redistribution?
    (2009-09-01) Ravallion, Martin
    Development aid and policy discussions often assume that poorer countries have less internal capacity for redistribution in favor of their poorest citizens. The assumption is tested using data for 90 developing countries. The capacity for redistribution is measured by the marginal tax rate on those who are not poor by rich-country standards that is needed to cover the poverty gap or to provide a poverty-level of basic income, judged by developing-country standards. For most (but not all) countries with annual consumption per capita under $2,000 (at 2005 purchasing power parity) the required tax burdens are found to be prohibitive-often calling for marginal tax rates of 100 percent or more. By contrast, the required tax rates are quite low (1 percent on average) among all countries with consumption per capita over $4,000, as well as some poorer countries. Most countries fall into one of two groups: those with little or no realistic prospect of addressing extreme poverty through redistribution from the "rich" and those that would appear to have ample scope for such redistribution. Economic growth tends to move countries from the first group to the second. Thus the appropriate balance between growth and redistribution strategies can be seen to depend on the level economic development.
  • Publication
    Household Welfare and Poverty Dynamics in Burkina Faso : Empirical Evidence from Household Surveys
    (World Bank, Washington, DC, 2001-04) Monga, Celestin; Fofack, Hippolyte; Tuluy, Hasan
    The authors investigate the dynamics of poverty and income inequality in a cross-section of socio-economic groups and geographical regions over the five-year growth period following the 1994 devaluation of the CFA franc in Burkina Faso. Results show rapidly increasing urban poverty accompanied by rising income inequality, declining poverty -growth elasticities, and significant changes in the poverty map. In rural areas, the incidence of poverty remained the same and income inequality did not increase. In contrast, the distribution of welfare across socio-economic groups was more stable. The rank ordering of socioeconomic groups on the welfare scale did not change during the post-devaluation growth period. Poverty remains largely a rural phenomenon, whose inelastic nature may justify a shift toward growth-oriented policies that at least maintain the rural poor's share of income to reduce poverty in the medium term. Among factors that feed into income inequality: disparities in wages and in educational attainment and unequal access to productive assets (especially human capital).

Users also downloaded

Showing related downloaded files

  • Publication
    Dominican Republic Poverty Assessment 2023
    (Washington, DC: World Bank, 2023-11-08) World Bank
    In recent decades, economic growth in the Dominican Republic (DR) has been steady. However, growth has not occurred in such a way as to make the benefits widely and evenly available. In fact, although the DR economy grew faster than that of other LAC countries before the Covid-19 pandemic, its poverty rates and social outcomes remain broadly similar to them. This report seeks to explain this conundrum, as well as to expand the knowledge base to improve the effectiveness of ongoing poverty reduction policies in the DR. The Poverty Assessment draws primarily on new analytical work conducted in the DR, structured around four background notes on: (i) trends in monetary poverty and inequality, as well as the key drivers of those changes; (ii) nonmonetary poverty and its spatial dimensions; (iii) social assistance programs and their role in mitigating poverty; and (iv) climate change and its interaction with poverty. By helping to reduce the evidence gap in each of these areas, our analysis hopes to inform government policies and the national dialogue on poverty reduction. In addition, the note integrates existing analytical work and evidence produced inside and outside the Bank, including from its operations in the country.
  • Publication
    Classroom Assessment to Support Foundational Literacy
    (Washington, DC: World Bank, 2025-03-21) Luna-Bazaldua, Diego; Levin, Victoria; Liberman, Julia; Gala, Priyal Mukesh
    This document focuses primarily on how classroom assessment activities can measure students’ literacy skills as they progress along a learning trajectory towards reading fluently and with comprehension by the end of primary school grades. The document addresses considerations regarding the design and implementation of early grade reading classroom assessment, provides examples of assessment activities from a variety of countries and contexts, and discusses the importance of incorporating classroom assessment practices into teacher training and professional development opportunities for teachers. The structure of the document is as follows. The first section presents definitions and addresses basic questions on classroom assessment. Section 2 covers the intersection between assessment and early grade reading by discussing how learning assessment can measure early grade reading skills following the reading learning trajectory. Section 3 compares some of the most common early grade literacy assessment tools with respect to the early grade reading skills and developmental phases. Section 4 of the document addresses teacher training considerations in developing, scoring, and using early grade reading assessment. Additional issues in assessing reading skills in the classroom and using assessment results to improve teaching and learning are reviewed in section 5. Throughout the document, country cases are presented to demonstrate how assessment activities can be implemented in the classroom in different contexts.
  • Publication
    Argentina Country Climate and Development Report
    (World Bank, Washington, DC, 2022-11) World Bank Group
    The Argentina Country Climate and Development Report (CCDR) explores opportunities and identifies trade-offs for aligning Argentina’s growth and poverty reduction policies with its commitments on, and its ability to withstand, climate change. It assesses how the country can: reduce its vulnerability to climate shocks through targeted public and private investments and adequation of social protection. The report also shows how Argentina can seize the benefits of a global decarbonization path to sustain a more robust economic growth through further development of Argentina’s potential for renewable energy, energy efficiency actions, the lithium value chain, as well as climate-smart agriculture (and land use) options. Given Argentina’s context, this CCDR focuses on win-win policies and investments, which have large co-benefits or can contribute to raising the country’s growth while helping to adapt the economy, also considering how human capital actions can accompany a just transition.
  • Publication
    World Development Report 2006
    (Washington, DC, 2005) World Bank
    This year’s Word Development Report (WDR), the twenty-eighth, looks at the role of equity in the development process. It defines equity in terms of two basic principles. The first is equal opportunities: that a person’s chances in life should be determined by his or her talents and efforts, rather than by pre-determined circumstances such as race, gender, social or family background. The second principle is the avoidance of extreme deprivation in outcomes, particularly in health, education and consumption levels. This principle thus includes the objective of poverty reduction. The report’s main message is that, in the long run, the pursuit of equity and the pursuit of economic prosperity are complementary. In addition to detailed chapters exploring these and related issues, the Report contains selected data from the World Development Indicators 2005‹an appendix of economic and social data for over 200 countries. This Report offers practical insights for policymakers, executives, scholars, and all those with an interest in economic development.
  • Publication
    Digital Africa
    (Washington, DC: World Bank, 2023-03-13) Begazo, Tania; Dutz, Mark Andrew; Blimpo, Moussa
    All African countries need better and more jobs for their growing populations. "Digital Africa: Technological Transformation for Jobs" shows that broader use of productivity-enhancing, digital technologies by enterprises and households is imperative to generate such jobs, including for lower-skilled people. At the same time, it can support not only countries’ short-term objective of postpandemic economic recovery but also their vision of economic transformation with more inclusive growth. These outcomes are not automatic, however. Mobile internet availability has increased throughout the continent in recent years, but Africa’s uptake gap is the highest in the world. Areas with at least 3G mobile internet service now cover 84 percent of Africa’s population, but only 22 percent uses such services. And the average African business lags in the use of smartphones and computers as well as more sophisticated digital technologies that catalyze further productivity gains. Two issues explain the usage gap: affordability of these new technologies and willingness to use them. For the 40 percent of Africans below the extreme poverty line, mobile data plans alone would cost one-third of their incomes—in addition to the price of access devices, apps, and electricity. Data plans for small- and medium-size businesses are also more expensive than in other regions. Moreover, shortcomings in the quality of internet services—and in the supply of attractive, skills-appropriate apps that promote entrepreneurship and raise earnings—dampen people’s willingness to use them. For those countries already using these technologies, the development payoffs are significant. New empirical studies for this report add to the rapidly growing evidence that mobile internet availability directly raises enterprise productivity, increases jobs, and reduces poverty throughout Africa. To realize these and other benefits more widely, Africa’s countries must implement complementary and mutually reinforcing policies to strengthen both consumers’ ability to pay and willingness to use digital technologies. These interventions must prioritize productive use to generate large numbers of inclusive jobs in a region poised to benefit from a massive, youthful workforce—one projected to become the world’s largest by the end of this century.