Publication: Is Informality Welfare-Enhancing Structural Transformation? Evidence from Uganda
Loading...
Published
2011-10-01
ISSN
Date
2012-03-19
Author(s)
Pimhidzai, Obert
Editor(s)
Abstract
While Africa's recent decade of growth and poverty reduction performance has been lauded, concern has been expressed regarding the structure of this growth. In particular, questions have been raised about whether the growth is based on a commodities boom, or whether it is the beginning of a structural transformation that will lift workers from low-productivity jobs into higher-productivity ones. Macro evidence has suggested that the structural transformation has not started. But macro analysis misses the evidence that the process of transformation has started, because this process begins at the household level. Household livelihoods do not move from ones based on subsistence farming and household level economic activities into livelihoods based on individual wage and salary employment away from the household in one leap -- this process takes generations. The intermediate step is the productive informal sector. It is income gains at the household level in this sector that fuel productivity increases, savings, and investment in human capital in this sector. Ensuring that most households are able to diversify their livelihoods into the non-farm sector through productive informality not only increases growth, but also allows the majority of the population to share in the growth process. This paper illustrates this point with the case of Uganda which followed this path and experienced two decades of sustained growth and poverty reduction.
Link to Data Set
Citation
“Pimhidzai, Obert; Fox, Louise. 2011. Is Informality Welfare-Enhancing Structural Transformation? Evidence from Uganda. Policy Research working paper ; no. WPS 5866. © World Bank. http://hdl.handle.net/10986/3632 License: CC BY 3.0 IGO.”
Associated URLs
Associated content
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)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 It’s Not (Just) the Tariffs: Rethinking Non-Tariff Measures in a Fragmented Global Economy(Washington, DC: World Bank, 2025-10-22)As tariffs have declined, non-tariff measures (NTMs) have become central to trade policy, especially in high-income countries and regulated sectors like food and green technologies. Although NTMs may serve legitimate goals, they could also sort countries and firms into or out of markets based on compliance capacity and differences in product mix. Documenting recent advances in the estimation of ad valorem equivalents (AVEs), this paper uncovers new patterns of use and exposure of NTMs. High-income countries rely more heavily on NTMs relative to tariffs, while low- and middle-income countries face steeper AVEs on their exports. Firm-level evidence shows that NTMs disproportionately affect smaller firms, leading to market exit and concentration. Poorly designed NTMs can harm productivity and welfare, while coordinated, capacity-aware use can deliver inclusive outcomes. Policy design, transparency, and diagnostics must evolve to reflect the growing role—and risks—of NTMs in a fragmented global trade landscape.Publication Monitoring Global Aid Flows: A Novel Approach Using Large Language Models(Washington, DC: World Bank, 2025-11-04)Effective monitoring of development aid is the foundation for assessing the alignment of flows with their intended development objectives. Existing reporting systems, such as the Organisation for Economic Co-operation and Development’s Creditor Reporting System, provide standardized classification of aid activities but have limitations when it comes to capturing new areas like climate change, digitalization, and other cross-cutting themes. This paper proposes a bottom-up, unsupervised machine learning framework that leverages textual descriptions of aid projects to generate highly granular activity clusters. Using the 2021 Creditor Reporting System data set of nearly 400,000 records, the model produces 841 clusters, which are then grouped into 80 subsectors. These clusters reveal 36 emerging aid areas not tracked in the current Creditor Reporting System taxonomy, allow unpacking of “multi-sectoral” and “sector not specified” classifications, and enable estimation of flows to new themes, including World Bank Global Challenge Programs, International Development Association–20 Special Themes, and Cross-Cutting Issues. Validation against both Creditor Reporting System benchmarks and International Development Association commitment data demonstrates robustness. This approach illustrates how machine learning and the new advances in large language models can enhance the monitoring of global aid flows and inform future improvements in aid classification and reporting. It offers a useful tool that can support more responsive and evidence-based decision-making, helping to better align resources with evolving development priorities.Publication The Macroeconomic Implications of Climate Change Impacts and Adaptation Options(Washington, DC: World Bank, 2025-05-29)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 The State of Global Services Trade Policies: Evidence from Recent Data(Washington, DC: World Bank, 2025-10-28)The economic environment for services trade has changed dramatically over the past 15 years, driven by rapid technological progress that has expanded the possibilities for exchanging services. How has trade policy responded to these changes? How do policy stances in a wide range of service sectors compare across economies? With its unprecedented global coverage, the Services Trade Policy Database and the associated Services Trade Restrictions Index, developed jointly by the World Bank and the World Trade Organization, help address these questions. This paper makes three principal contributions. First, it offers an in-depth discussion of the current state of services trade policies and their differences across 134 economies and 34 services subsectors. Second, the paper reveals how recent (2016–22) changes in policy stances have seen progressive liberalization by lower-income economies but stabilization or even slight policy reversals in high-income economies. This dynamic differs fundamentally from the trend that unfolded after the Great Recession over 2008–16. Third, the paper shows the implications of policy changes over the past six years on services trade costs, and it showcases how the Services Trade Policy Database’s regulatory information can inform trade negotiations, regulatory analysis, and policy making. Alongside these contributions, the paper documents updates to the Services Trade Policy Database’s economy and sector coverage and explains the latest methodological improvements made to the World Bank–World Trade Organization Services Trade Restrictions Index.
Journal
Journal Volume
Journal Issue
Collections
Related items
Showing items related by metadata.
Publication Inclusive Growth Analytics : Framework and Application(2009-03-01)This paper argues that inclusive growth analytics has a distinct character focusing on both the pace and pattern of growth. Traditionally, applied country-specific poverty and growth analyses have been done separately. This paper describes the conceptual elements for an analytical strategy aimed to integrate these two strands of analyses, and to identify and prioritize country-specific constraints to sustained and inclusive growth. The authors apply the framework to the case of Zambia. The analysis suggests that income growth in Zambia is constrained by poor access to domestic and international markets, inputs, extension services, and information. High indirect costs - mostly attributable to infrastructure service-related inputs in production including energy, transport, telecom, water, but also insurance, marketing, and professional services - undermine Zambia's competitiveness, limit job creation, and therefore serve as a major constraint to inclusive growth. Improving the quality and access to secondary and tertiary education is essential if the poor are to benefit from future growth of the non-farm economy. Weak governance and, in particular, poor government effectiveness are factors behind the market coordination failures and the identified government failures, and are as such major obstacles to inclusive growth in Zambia.Publication Decomposing Distributional Changes in Pakistan(World Bank, Washington, DC, 2012-07)This paper quantifies the contributions to distributional changes observed in Pakistan over the last decade. In contrast to methods that focus on aggregate summary statistics, the method adopted in this paper generates entire counterfactual distributions to account for the contributions of demographics, labor and non-labor incomes in explaining poverty reduction. The results show that the most important contributor was the growth in income. Moreover, this growth in income seems to be driven by returns to individual and household endowments, pointing to productivity increases as the driving force behind poverty reduction. Lower dependency ratios, transfers and remittances also contributed to poverty reduction, albeit to a smaller extent. Growth in productivity, particularly between 2001-02 and 2005-06 is consistent with estimates from aggregate accounts, which points to productivity growth led by movements of labor force away from agriculture and into industry and services. If the objective is to reach similar or accelerated poverty reduction and productivity growth going forward, increased investment in rural areas will be needed.Publication The Impact of Roads on Poverty Reduction : A Case Study of Cameroon(World Bank, Washington, DC, 2010-02)Many investments in infrastructure are built on the belief that they will ineluctably lead to poverty reduction and income generation. This has entailed massive aid-financed projects in roads in developing countries. However, the lack of robust evaluations and a comprehensive theoretical framework could raise questions about current strategies in Sub-Saharan Africa. Using the second Cameroonian national household survey (Enquete Camerounaise Aupres des Menages II, 2001) and the Cameroon case study, this paper demonstrates that investing uniformly in tarred roads in Africa is likely to have a much lower impact on poverty than expected. Isolation from a tarred road is found to have no direct impact on consumption expenditures in Cameroon. The only impact is an indirect one in the access to labor activities. This paper reasserts the fact that access to roads is only one factor contributing to poverty reduction (and not necessarily the most important in many cases). Considering that increase in non-farming activities is the main driver for poverty reduction in rural Africa, the results contribute to the idea that emphasis on road investments should be given to locations where non-farming activities could be developed, which does mean that the last mile in rural areas probably should not be a road.Publication Economic Mobility in Europe and Central Asia : Exploring Patterns and Uncovering Puzzles(World Bank Group, Washington, DC, 2015-01)Substantial upward economic mobility in the majority of countries in Europe and Central Asia in the 2000s translated into achievements in reducing poverty and boosting shared prosperity. Although factors associated with upward mobility vary significantly by country, education and jobs undoubtedly play an important role in lifting households out of poverty and helping them to improve their living standards. This study finds there is a puzzling mismatch between the objective economic mobility patterns observed in survey data and people's subjective perception of their mobility. A majority of people in the region perceives they are worse off economically than in the past and voice frustration over limited opportunities to improve their lives. This disconnect is partly explained by increased inequality in the region, an increasing sense of unfairness in the processes to move up, and a more marked sense of insecurity and vulnerability. Although the region has been making headway in lifting households out of poverty, ensuring sustainable progress toward poverty reduction and shared prosperity requires policies that promote human capital accumulation, foster job creation, and offer adequate protection to improve households' resilience to shocks.Publication Distributions in Motion : Economic Growth, Inequality, and Poverty Dynamics(2010-09)The joint determination of aggregate economic growth and distributional change has been studied empirically from at least three different perspectives. A macroeconomic approach that relies on cross-country data on poverty, inequality, and growth rates has generated some interesting stylized facts about the correlations between these variables, but has not shed much light on the underlying determinants. "Meso-" and microeconomic approaches have fared somewhat better. The microeconomic approach, in particular, builds on the observation that growth, changes in poverty, and changes in inequality are simply different aggregations of information on the incidence of economic growth along the income distribution. This paper reviews the evolution of attempts to understand the nature of growth incidence curves, from the statistical decompositions associated with generalizations of the Oaxaca-Blinder method, to more recent efforts to generate "economically consistent" counterfactuals, drawing on structural, reduced-form, and computable general equilibrium models.
Users also downloaded
Showing related downloaded files
Publication Global Economic Prospects, June 2025(Washington, DC: World Bank, 2025-06-10)The global economy is facing another substantial headwind, emanating largely from an increase in trade tensions and heightened global policy uncertainty. For emerging market and developing economies (EMDEs), the ability to boost job creation and reduce extreme poverty has declined. Key downside risks include a further escalation of trade barriers and continued policy uncertainty. These challenges are exacerbated by subdued foreign direct investment into EMDEs. Global cooperation is needed to restore a more stable international trade environment and scale up support for vulnerable countries grappling with conflict, debt burdens, and climate change. Domestic policy action is also critical to contain inflation risks and strengthen fiscal resilience. To accelerate job creation and long-term growth, structural reforms must focus on raising institutional quality, attracting private investment, and strengthening human capital and labor markets. Countries in fragile and conflict situations face daunting development challenges that will require tailored domestic policy reforms and well-coordinated multilateral support.Publication Europe and Central Asia Economic Update, Spring 2025: Accelerating Growth through Entrepreneurship, Technology Adoption, and Innovation(Washington, DC: World Bank, 2025-04-23)Business dynamism and economic growth in Europe and Central Asia have weakened since the late 2000s, with productivity growth driven largely by resource reallocation between firms and sectors rather than innovation. To move up the value chain, countries need to facilitate technology adoption, stronger domestic competition, and firm-level innovation to build a more dynamic private sector. Governments should move beyond broad support for small- and medium-sized enterprises and focus on enabling the most productive firms to expand and compete globally. Strengthening competition policies, reducing the presence of state-owned enterprises, and ensuring fair market access are crucial. Limited availability of long-term financing and risk capital hinders firm growth and innovation. Economic disruptions are a shock in the short term, but they provide an opportunity for implementing enterprise and structural reforms, all of which are essential for creating better-paying jobs and helping countries in the region to achieve high-income status.Publication Digital Africa(Washington, DC: World Bank, 2023-03-13)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.Publication Classroom Assessment to Support Foundational Literacy(Washington, DC: World Bank, 2025-03-21)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 Business Ready 2024(Washington, DC: World Bank, 2024-10-03)Business Ready (B-READY) is a new World Bank Group corporate flagship report that evaluates the business and investment climate worldwide. It replaces and improves upon the Doing Business project. B-READY provides a comprehensive data set and description of the factors that strengthen the private sector, not only by advancing the interests of individual firms but also by elevating the interests of workers, consumers, potential new enterprises, and the natural environment. This 2024 report introduces a new analytical framework that benchmarks economies based on three pillars: Regulatory Framework, Public Services, and Operational Efficiency. The analysis centers on 10 topics essential for private sector development that correspond to various stages of the life cycle of a firm. The report also offers insights into three cross-cutting themes that are relevant for modern economies: digital adoption, environmental sustainability, and gender. B-READY draws on a robust data collection process that includes specially tailored expert questionnaires and firm-level surveys. The 2024 report, which covers 50 economies, serves as the first in a series that will expand in geographical coverage and refine its methodology over time, supporting reform advocacy, policy guidance, and further analysis and research.