Pages: 12

Urbanization is a transformative force reshaping the economies and societies of developing countries, with their cities poised to gain 1.8 billion new residents between 2025 and 2050. Urbanization can yield powerful economic development dividends, but the rapid expansion of cities in countries that lack adequate resources to manage them is a pressing policy challenge. In spite of urbanization’s strong correlation with development, rapidly growing cities are often beset with urban poverty and informal settlements lacking basic public services. There is a limited window of opportunity to manage the urbanization process and set countries on a sustainable development trajectory. The decisions that shape today’s emerging cities will have economic, social, and environmental impacts for decades to come. In this context, a spatial approach to economic planning is essential to coordinate and sequence investments across locations, and for optimizing scarce resources. This chapter introduces key findings from advances in spatial-economic theory and outlines the analysis tools and policy frameworks covered in the remainder of this book, which offers knowledge and practical tools to better understand and address urbanization and sustainable development through a coordinated spatial and economic approach.

Pages: 35

This chapter provides an overview of spatial-economic theory from a historical perspective, and draws conclusions relevant for research and policymaking. It explores four key areas of theory: location, spatial organization, regional inequality, and urbanization. Various theories shed light on factors that influence firm location and the geographic distribution of economic activities. They help to explain why some regions excel while others lag behind and what causes developmental convergence or divergence among locations. They also explain urbanization and its link to economic development, and the evolution of systems of cities. The chapter provides timelines that highlight theoretical milestones over the last two centuries, and seminal writings in each area. It then synthesizes takeaways that are relevant to policymakers in countries currently undergoing urbanization. Key principles are as follows: (1) economic development requires spatial transformation, and urbanization accompanies development; (2) clustering is economically powerful and creates momentum, contributing to spatial disparities, and (3) different cities serve different functions and a diverse system of cities can leverage a variety of advantages. The compendium of work summarized in this chapter makes a compelling case for the need to integrate spatial and economic planning.

Pages: 144

No chapter abstract available.

Pages: 24

This chapter explores topics relevant for data analysis to inform spatial and economic policy, specifically spatial disaggregation, visualization, mapping, and overlays. Economic, social, and environmental indicators are noted, and the chapter includes instructions for calculating two composite indexes of social development: the Human Development Index and the Multidimensional Poverty Index. Strengths and limitations of various visualization techniques are discussed with examples. Case studies discussing Djibouti’s National Development Plan, and Spatial Development Frameworks from Ghana and South Africa, illustrate the use of disaggregation, visualization, mapping, and overlays for policy-making. The chapter demonstrates how spatializing data reveals geographic variations in development indicators that national-level statistics often mask, and how spatialized data can highlight opportunities, challenges, and spatial relationships that are critical to informing decision-making and spatial coordination.

Pages: 14

This chapter provides three quantitative tools for analysing industry clustering and spatial trends, which are fundamental to inform spatial-economic policy-making: location quotients, shift-share analysis, and growth-share matrices. Location quotients are used to identify locations of industry concentration. Shift-share analysis is used to examine the growth or decline of industries by location, and parses out the amount of growth due to local factors. A growth-share matrix visualizes both industry concentration and industry growth together, classifying cities or industries as leading, lagging, emerging, or declining. The chapter provides an explanation and practical guidance on using the three tools, as well as a real world example of how the three were used to inform spatial policy in Ethiopia.

Pages: 33

This chapter provides practical guidance on analysing economic linkages through value-chain mapping, input-output analysis, and multipliers — key tools for informing spatially targeted economic policy. These methods can help identify high-potential industries and value chains, shape policies to leverage economic opportunities and address bottlenecks, and quantify the impact of industry-specific policies or shocks on economy-wide output, value added, wages, and jobs. The chapter offers step-by-step instructions for applying these tools and discusses their strengths and limitations. Four case studies illustrate real-world applications: identifying agro-industry opportunities in Haiti through value-chain mapping; mapping flows of agricultural and value-added products within Africa; using multipliers to identify high-potential industries in Central America and the Dominican Republic; and applying multiregional input-output analysis to evaluate economic integration in China’s Middle and Lower Yellow River region.

Pages: 25

This chapter explores seven key metrics for assessing spatial inequality and segregation: the dissimilarity index, the interaction and isolation indexes, the entropy index (Theil’s H), the spatial Gini index, the Williamson index, and the Moran’s I statistic. These metrics are practical tools for policymakers and researchers to analyse disparities, and can be applied at both the national level among regions, and subnational levels within cities or metro areas. Understanding and tracking spatial patterns of segregation and inequality is critical for designing policies that promote social inclusion and equitable access to resources. The chapter provides clear, step-by-step guidance on the application of the metrics, ensuring that readers can effectively apply them in practice. Two case studies are included to demonstrate the practical relevance of the analysis tools. The first examines evolving patterns of segregation by caste, tribe, housing type, and religion in Mumbai, noting the policy implications of the findings. The second case tracks poverty and inequality within and among Malaysia’s states in order to assess the effectiveness of four decades of economic policy and a theoretical hypothesis on regional convergence.

Pages: 28

This chapter provides practical tools for analysing a system of cities, focusing on their size distribution, economic roles, and interconnections. It offers guidance on forecasting population growth, evaluating city-size distributions using Zipf’s law, and assessing urban primacy – the dominance of the largest city. Additionally, it introduces methods for calculating an economic gravity index and estimating a gravity model to predict the effects of connectivity changes or barriers between locations. Five case studies illustrate how these tools apply in a policy context. They include an analysis of urban primacy in Uganda, an assessment comparing urban population growth and investment locations in Ethiopia, and an examination of city-size distributions in Africa, using Zipf’s law to explore the potential effects of trade integration. Other cases examine market gravity and economic performance in Indonesia’s cities and use a gravity model to predict trade barrier impacts between African cities.

Pages: 18

Scenario planning is a methodology that provides a set of tools to analyse possible futures and make strategic choices in the face of uncertainty. It is applicable to both spatial and aspatial contexts and is widely used in both economic planning and land-use planning. It is a particularly useful tool for urbanizing countries where spatial and economic transformation are proceeding at a rapid pace, and present-day decisions will have long-lasting impacts on development outcomes. 1 Particularly where investment needs are high, and resources are constrained, strategic policy-making must weigh tradeoffs and make difficult decisions. Scenario planning is an apt tool for such situations.

Pages: 72

No chapter abstract available.

Pages: 30

Effective policy-making in urbanizing countries requires spatially specific tools that address locational challenges and opportunities at the subnational level. This chapter examines three key policy instruments that integrate spatial and economic considerations and tailor interventions to locational specificities: special economic zones, Regional and Local Development Plans, and urban master plans. For each policy tool, the chapter explores its purpose, historical evolution, and application, as well as the formulation process, major components, and insights about its effectiveness in achieving development objectives. Case studies provide examples of practical application of each policy tool. They discuss the use of special economic zones in Ethiopia and South Africa to stimulate investment and industrialization, use of a Local Development Plan in South Africa to reverse the fortunes of a declining local economy, and Town Planning Schemes used in Ahmedabad, India as a mechanism for urban redevelopment. By examining these tools and their applications, the chapter offers practical lessons for policymakers and researchers seeking to design, implement, or assess place-based strategies for sustainable and inclusive development.

Pages: 40

In the context of rapid urbanization, countries have the critical task of guiding their evolving spatial and economic structure, and getting national policy right is an urgent and high-stakes task. This chapter examines four key national policy tools: National Development Plans (NDPs), Spatial Development Frameworks (SDFs), National Urban Policies (NUPs), and cross-sector coordination frameworks. While all are aimed at coordinating interventions across various government sectors to achieve economic and spatial goals, they differ in scope and approach. The chapter explores each tool’s purpose, historical evolution, formulation process, major components, and effectiveness. Case studies illustrate their application: South Korea’s NDPs addressed economic transformation, industrialization, and unbalanced urbanization; South Africa’s SDF builds on lessons from a long history of spatial planning to tackle spatial inequality through a coordinated approach; Colombia’s NUP has aimed to address the connectivity, productivity, and quality of life in Colombian cities, highlighting institutional challenges along the way; Zambia’s cross-sectoral coordination of NDP implementation has addressed institutional silos; and Morocco’s long history of coordinating economic and spatial policies has highlighted the spatial influence of economic policy and the potential of regional-level coordination. These examples illustrate both the importance and the challenge of integrated spatial-economic planning at the national level.