South Africa’s labor market exhibits a unique equilibrium with one of the highest unemployment rates in the world and yet a low level of informal employment. The unemployment rate has remained high and persistent over recent decades, in spite of the formal demise of the apartheid regime and subsequent transition to democracy in 1994. This paper uses a matching model of the labor market to argue that spatial considerations combined with low productivity of informal work may be responsible for such an outcome. Spatial dispersion inherited from the apartheid regime thins the labor market, creating exclusion and perpetuating spatial segregation. In most developing countries, the result would be higher employment in informal or own account employment. However, with low productivity in the informal sector, the high rate of exclusion shows itself in higher unemployment rates instead. Transportation costs and housing deregulation may become key factors in improving the working of the labor market in South Africa especially if it is not possible to raise informal productivity.
Can South Africa’s segregation policies explain, at least partially, its current poor employment outcomes? To explore this question, we study the long-term impact of the forced resettlement of around 3.5 million black South Africans from their communities to the so-called “homelands” or “Bantustans”, between 1960 and 1991. Our empirical strategy exploits the variability in the magnitude of resettlements between communities. Two main findings. First, the magnitude of outgoing internal migrations was largest for districts close to former homelands. Second, districts close to former homelands have higher rates of non-employed population in 2011. Together the evidence suggests that districts that experienced racial segregation policies most intensely, as measured by outgoing forced resettlements, have worse current employment outcomes.
This report analyzes the economic legacy of spatial exclusion in South Africa, focusing on the long-term effects of the former Bantustan policy. Through quantitative analysis, the report explores the spatial dimension of economic activity in South Africa and specifically how this particular spatial institution has continued to shape current economic outcomes, despite past and present attempts to reverse the effect. The report also identifies areas for further research and potential intervention to enable more effective economic inclusion of the former homeland areas of the country.
The report aims to inform the government’s strategic approach towards manufacturing by analyzing the potential and limits for job creation within the sector. To meet that goal, we analyze the sector’s main features and recent trajectory through the lens of global deindustrialization and South Africa’s particular industrial dynamics. Secondly, we provide evidence of how, when, and why South Africa has deviated from the global deindustrialization trends. Lastly, we provide a policy framework to address the bottlenecks that are preventing South Africa from getting back on a better track of industrial performance.
This report analyzes the causes and consequences of South Africa’s high rates of unemployment and the unique nature of labor market exclusion in the country. It leverages a combination of new quantitative analysis using South African datasets and international datasets for benchmarking, together with synthesis of existing literature and case studies. The goal is to: (1) characterize the challenge of labor market exclusion in South Africa, (2) identify ways in which this is similar and different to other countries, (3) understand what drives the unique challenges of the labor market in South Africa, and (4) narrow down what policy areas are most important to address the underlying drivers. This report takes a diagnostic approach to understand the causes of South Africa’s unique pattern of low informality.
This paper explores franchising in South Africa, and its potential to help resolve the economy’s challenges of low entrepreneurship and concentrated ownership. South Africa features a large franchising sector, with half a million formal workers and a large number of small businesses owners competing directly with vertically integrated chains. Traditional franchising may not have much space for further growth as a percentage of the economy, but it can be made more inclusive with innovations in franchise finance that broaden the base of potential franchisees, as well as enforcement of consumer protections to ensure franchisee-franchisor relationships are balanced. The expansion of the franchising model to less capital-intensive business concepts and serving lower-income consumers (micro-franchising) is one area with expanding growth potential for the country, while the application of the franchising model to public services and socially driven organizations is less promising. Finally, while the franchising model is only directly applicable to particular sectors, there are features of franchising and the capabilities built up around the franchising that could be applied to other priority areas of the economy, in particular to smallholder agriculture. The success of traditional franchising shows the power of a menu of standardized proposals and contracts in a marketplace with a range of franchisors (in this case, up- and downstream agriculture corporates) offering different opportunities to potential franchisees (in this case, smallholder farming communities), along with training and technology transfer at scale.
In this case study, we introduce a user-centered design process for developing Metroverse, a narrative visualization platform that communicates urban economic composition and growth opportunities for cities. The primary challenge in making Metroverse stems from the complexity of the underlying research and data, both of which need to be effectively communicated to a wide range of end-users with different backgrounds. To unravel the complexity of the research, and to design the platform, we followed a user-centered design process. Our design process brought together researchers, designers, and various end-users, who collectively guided the design of the narrative visualization. Engaging end-users in the early phases of the project allowed us to identify the valuable insights in the data and subsequently design effective visualizations that convey those insights. We believe findings from our process can provide a template for similar projects that require translating complex research data and methodologies into user-friendly story structures.
This paper presents a structural ranking of countries by their distance to frontier. The ranking is based on comparative advantage. Hence, it reveals information on the productive capabilities of countries that is fundamentally different from GDP per capita. The ranking is centered on the assumption that countries’ capabilities across products are similar to those of other countries with comparable distance to frontier. It can be micro-founded using standard trade models. The estimation strategy provides a general, non-parametric approach to uncovering a log-supermodular structure from the data, and I use it to also derive a structural ranking of products by their complexity. The underlying theory provides a flexible micro-foundation for the Economic Complexity Index (Hidalgo and Hausmann, 2009).
In the short-term, economies shift preferentially into new activities that are related to ones they currently do. Such a tendency should have implications for the nature of an economy’s long-term development as well. We explore these implications using a dynamical network model of an economy’s movement into new activities. First, we theoretically derive a pair of coordinates that summarize long-term structural change. One coordinate captures overall ability across activities, the other captures an economy’s composition. Second, we show empirically how these two measures intuitively summarize a variety of facts of long-term economic development. Third, we observe that our measures resemble complexity metrics, though our route to these metrics differs significantly from previous ones. In total, our framework represents a dynamical approach that bridges short-and long-term descriptions of structural change, and suggests how different branches of economic complexity analysis could potentially fit together in one framework.
Few countries have embraced active labor market policies to the same extent as Saudi Arabia. In the aftermath of the Arab Spring, the imperative of increasing Saudi employment became paramount. The country faced one of the highest youth unemployment rates in the world while over 80 percent of its private sector consisted of foreign labor. Since 2011, a wave of employment nationalization efforts has been mainly implemented through a comprehensive and strictly enforced industry and firm specific quota system known as Nitaqat. This paper assesses the employment gains as well as the costs and unintended consequences resulting from Nitaqat and related policies between 2011 and 2017. We find that while job nationalization policies generated significant initial gains in Saudi employment and labor force participation, the effects were heterogeneous across workers, firms and sectors. Moreover, our analysis suggests that the resulting unintended consequences far outweighed the benefits over time generating a less cost-effective and productivity inhibiting labor market composition.
This paper analyzes the changes in Saudi employment and unemployment between 2009 and 2018 and argues that a supply-demand skill mismatch exacerbated by insufficient job creation, and prevalent Saudi preferences and beliefs about employment underpin the high unemployment problem that coexists with low Saudi employment in the private sector in the country.
We examine how inequality and openness interact in shaping the long-run growth prospects of developing countries. To this end, we develop a Schumpeterian growth model with heterogeneous households and non-homothetic preferences for quality. We show that inequality affects growth very differently in an open economy as opposed to a closed economy: If the economy is close to the technological frontier, the positive demand effect of inequality on growth found in closed-economy models may be amplified by international competition. In countries with a larger distance to the technology frontier, however, rich households satisfy their demand for high quality via importing, and the effect of inequality on growth is smaller than in a closed economy and may even be negative. We show that this theoretical prediction holds up in the data, both when considering growth in export quality at the industry level and when considering growth in GDP per capita.
We analyze Ukraine's opportunities to participate in European value chains, using traditional gravity models, combined with tools from Economic Complexity Analysis to study international trade (exports) and Foreign Direct Investment (FDI). This toolbox is shown to be predictive of the growth and entry of new exports to the EU's Single Market, as well as foreign direct investments from the Single Market in Ukraine. We find that Ukraine has suffered from a decline of trade with Russia, which has led not only to a quantitative but also a qualitative deterioration in Ukrainian exports. Connecting to western European value chains is in principle possible, with several opportunities in the automotive, information technology and other sectors. However, such a shift may lead to a spatial restructuring of the Ukrainian economy and a mismatch between the geographical supply of and demand for labor.
We analyze how globalization affects the allocation of talent across competing teams in large matching markets. Focusing on amplified superstar effects, we show that a convex transformation of payoffs promotes positive assortative matching. This result holds under minimal assumptions on how skills translate into competition outcomes and how competition outcomes translate into payoffs. Our analysis covers many interesting special cases, including simple extensions of Rosen (1981) and Melitz (2003) with competing teams. It also provides new insights on the distributional consequences of globalization, and on the role of technological change, urban agglomeration, and taxation for the composition of teams.
Using panel data for workers who change jobs, changes in several labor outcomes after inter-city migration are estimated by comparing workers in similar circumstances who move to a new city –the treatment group—with those who stay in the same city –the control group. After matching the two groups using Mahalanobis distances over a wide range of covariates, the methodology of “difference-in-difference treatment effects on the treated” is used to estimate changes after migration. On average, migrants experience income gains but their dedication to formal employment becomes shorter. Income changes are very heterogenous, with low-wage workers and those formerly employed by small firms experiencing larger and more sustained gains. The propensity to migrate by groups of sex, age, wage level, initial dedication, initial firm size and size of city of origin is significantly and directly correlated with the expected cumulative income gains of migration, and inversely with the uncertainty of such gains.
Considering the case of the proposed airport in Vlora, South Albania, this report analyzes the channels through which a new greenfield airport can contribute to regional economic development. In December 2019, the Government of Albania opened a call for offers to build a new airport in the south of the country. While there is evidence indicating that the airport could be commercially viable, this does not provide a grounded perspective on the channels by which the airport could boost the regional economy. To evaluate how the new airport would interact with existing and potential economic activities, this report evaluates three of the most important channels of impact by which the airport could serve as a promoter: (1) economic activities directly related to or promoted by airports, (2) the airport’s potential contribution to the region’s booming tourism sector and (3) the potential for the country’s development of air freight as a tool for export promotion. In each of these three cases, the report identifies complementary public goods or policies that could maximize the airport’s impact in the region.
The operation of the airport itself could stimulate a series of economic activities directly related to air traffic services. Airports have the ability to mold the economic structure of the places immediately around them, acting both as a consumer and as a supplier of air transport services. Not only activities related to transportation and logistics thrive around airports, but also a variety of manufacturing, trade and construction industries. Nevertheless, the agglomeration benefits of a successful aerotropolis are not guaranteed by the construction of an airport. For South Albania’s new airport to actualize its potential returns, integrated planning of the airport site will be required, with focus on real estate planification and provision of complementary infrastructure.
Establishing an airport in Vlora has the potential to spur regional development in South Albania through facilitating the growth of the tourism sector and its related activities. Albania’s tourism industry has seen strong growth in the last two decades, but still lags behind its potential. Albania only has a strong penetration in the tourism market of its neighboring markets, and the high seasonality of the tourism season further limits the sector’s growth. The establishment of an airport in South Albania would ease some of the tourism industry constraints tied to transportation into the country and region. Given the high reliance of the tourism industry on its many complementary inputs, more than one area of concern may have to be addressed for the impact of the new airport to be maximized. Facilitating transportation access around the South Albania region and specifically to tourist sites; preparing natural and cultural heritage sites for tourism use and expanding tourism infrastructure to accommodate potential growth are some of the interventions analyzed.
Airfreight infrastructure could in theory provide opportunities to improve the competitiveness of Albanian exports but developing a successful air cargo cluster is no simple task. An airport can facilitate an alternative mode of transport for specific types of goods and hence promote a country’s exports. In Albania’s case, not only existing textile and agriculture products could be competitively exported through air freight, but also air freight itself could improve Albania’s position to diversify into “nearby” industries, identified by the theory of Economic Complexity. Nevertheless, an effective air freight strategy does not and cannot uniquely depend on the simple availability of a nearby airport. Air cargo operations require both traffic volume that Albania may not be able to provide, as well as complementary cargo-specific infrastructure. Although the potential for air freight in South Albania could be high, it is by no means a safe bet nor does it imply with certainty significant impact in the immediate future.
We introduce quality differentiation into a Ricardian model of international trade. We show that (1) quality differentiation allows industrialized countries to be active across the full board of products, complex and simple ones, while developing countries systematically specialize in simple products, in line with novel stylized facts. (2) Quality differentiation may thus help to explain why richer countries tend to be more diversified and why, increasingly over time, rich and poor countries tend to export the same products. (3) Quality differentiation implies that the gains from inter-product trade mostly accrue to developing countries. (4) Guided by our theory, we use a censored regression model to estimate the link between a country’s GDP per capita and its export quality. We find a much stronger relationship than when using OLS, in line with our theory.
We empirically investigate the relationship between a country’s economic complexity and the diversity in the birthplaces of its immigrants. Our cross-country analysis suggests that countries with higher birthplace diversity by one standard deviation are more economically complex by 0.1 to 0.18 standard deviations above the mean. This holds particularly for diversity among highly educated migrants and for countries at intermediate levels of economic complexity. We address endogeneity concerns by instrumenting diversity through predicted stocks from a pseudo-gravity model as well as from a standard shift-share approach. Finally, we provide evidence suggesting that birthplace diversity boosts economic complexity by increasing the diversification of the host country’s export basket.
We investigate the relationship between the presence of migrant inventors and the dynamics of innovation in the migrants’ receiving countries. We find that countries are 25 to 60 percent more likely to gain advantage in patenting in certain technologies given a twofold increase in the number of foreign inventors from other nations that specialize in those same technologies. For the average country in our sample, this number corresponds to only 25 inventors and a standard deviation of 135. We deal with endogeneity concerns by using historical migration networks to instrument for stocks of migrant inventors. Our results generalize the evidence of previous studies that show how migrant inventors "import" knowledge from their home countries, which translates into higher patenting in the receiving countries. We interpret these results as tangible evidence of migrants facilitating the technology-specific diffusion of knowledge across nations.
This paper constructed a simple model to illustrate the global supply chain profit sharing and industrial upgrading mechanism, from which it was found that the average profitability distribution in the different supply chain stages was determined by two main factors: (1) the average product of the labor in the firms at each production stage; and (2) the ratio of the output elasticity of capital to the output elasticity of labor in each stage. This paper also proposed a new industrial upgrading mechanism, the ‘inter-supply chain upgrading’, for supply chain firms. Rises in production complexity and increased factor intensity in each production stage were found to be the two essential conditions for the inter-supply chain upgrading. The empirical study results were found to be broadly consistent with the proposed theories.