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.
We studied the geography as well as the demographic and socio-economic characteristics of 1.7 million members of the global Colombian diaspora (34% of the total estimated Colombian diaspora) using census and survey data from major host countries, and 3.5 million Twitter users located around the world presumed to be of Colombian origin. We also studied the locations and industries of Colombian senior managers and directors outside Colombia, using a global database of over 400 million companies. Moreover, we studied the migration journeys, the diaspora’s attachment to Colombia, the level of diaspora engagement and interest in engaging, the intentions to return back home, the interest in diaspora government policy, and the overall sentiment of the diaspora towards Colombia, through a survey which received 11,500 responses from the diaspora in well over 100 countries in less than two months. We additionally interviewed 12 Colombian transnational entrepreneurs and professionals, to understand what attracts them professionally to Colombia, and what may stand in the way of more diaspora engagement and professional growth.
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.
We use aggregated and anonymized information based on international expenditures through corporate payment cards to map the network of global business travel. We combine this network with information on the industrial composition and export baskets of national economies. The business travel network helps to predict which economic activities will grow in a country, which new activities will develop and which old activities will be abandoned. In statistical terms, business travel has the most substantial impact among a range of bilateral relationships between countries, such as trade, foreign direct investments and migration. Moreover, our analysis suggests that this impact is causal: business travel from countries specializing in a specific industry causes growth in that economic activity in the destination country. Our interpretation of this is that business travel helps to diffuse knowledge, and we use our estimates to assess which countries contribute or benefit the most from the diffusion of knowledge through global business travel.
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.
During the early 1990s Germany offered temporary protection to over 700,000 Yugoslavian refugees fleeing war. By 2000, many had been repatriated. We exploit this natural experiment to investigate the role of migrants in post-conflict reconstruction in the former Yugoslavia, using exports as outcome. Using confidential social security data to capture intensity of refugee workers to German industries–and exogenous allocation rules for asylum seekers within Germany as instrument—we find an elasticity of exports to return migration between 0.08 to 0.24. Our results are stronger in knowledge-intensive industries and for workers in occupations intensive in analytical and managerial skills.
Are there Marshallian externalities in job search? We study how workers who lose their jobs in establishment closures in Germany cope with their loss of employment. About a fifth of these displaced workers do not return to social-security covered employment within the next three years. Among those who do get re-employed, about two-thirds leave their old industry and one-third move out of their region. However, which of these two types of mobility responses workers will choose depends on the local industry mix in ways that are suggestive of Marshallian benefits to job search. In particular, large concentrations of one’s old industry makes it easier to find new jobs: in regions where the pre-displacement industry is large, displaced workers suffer relatively small earnings losses and find new work faster. In contrast, large local industries skill-related to the pre-displacement industry increase earnings losses but also protect against long-term unemployment. Analyzed through the lens of a job-search model, the exact spatial and industrial job-switching patterns reveal that workers take these Marshallian externalities into account when deciding how to allocate search efforts among industries.
Does technology require labour mobility to diffuse? To explore this, we use German social-security data and ask how plants that pioneer an industry in a location – and for which the local labour market offers no experienced workers – assemble their workforces. These pioneers use different recruiting strategies than plants elsewhere: they hire more workers from outside their industry and from outside their region, especially when workers come from closely related industries or are highly skilled. The importance of access to experienced workers is highlighted in the diffusion of industries from western Germany to the post-reunification economy of eastern German. While manufacturing employment declined in most advanced economies, eastern German regions managed to reindustrialise. The pioneers involved in this process relied heavily on expertise from western Germany: while establishing new manufacturing industries in the East, they sourced half of their experienced workers from the West.
Venezuela has seen an unprecedented exodus of people in recent months. In response to a dramatic economic downturn in which inflation is soaring, oil production tanking, and a humanitarian catastrophe unfolding, many Venezuelans are seeking refuge in neighboring countries. However, the lack of official numbers on emigration from the Venezuelan government, and receiving countries largely refusing to acknowledge a refugee status for affected people, it has been difficult to quantify the magnitude of this crisis. In this note we document how we use data from the social media service Twitter to measure the emigration of people from Venezuela. Using a simple statistical model that allows us to correct for a sampling bias in the data, we estimate that up to 2,9 million Venezuelans have left the country in the past year.
This article provides an empirical assessment of global scientific mobility over the past four decades, based on bibliometric data. We find (i) an increasing diversity of origin and destination countries integrated in global scientific mobility, with (ii) the centre of gravity of scientific knowledge production and migration destinations moving continuously eastwards by about 1300 km per decade, (iii) an increase in average migration distances of scientists reflecting integration of global peripheries into the global science system, (iv) significantly lower mobility frictions for internationally mobile scientists compared to non-scientist migrants, (v) with visa restrictions establishing a statistically significant barrier affecting international mobility of scientists hampering the global diffusion of scientific knowledge.
Using a large individual-level survey spanning several years and more than 150 countries, we examine the importance of social networks in influencing individuals’ intention to migrate internationally and locally. We distinguish close social networks (composed of friends and family) abroad and at the current location, and broad social networks (composed of same-country residents with intention to migrate, either internationally or locally). We find that social networks abroad are the most important driving forces of international migration intentions, with close and broad networks jointly explaining about 37% of variation in the probability intentions. Social networks are found to be more important factors driving migration intentions than work-related aspects or wealth (wealth accounts for less than 3% of the variation). In addition, we find that having stronger close social networks at home has the opposite effect by reducing the likelihood of migration intentions, both internationally and locally.
Using a large individual-level survey spanning several years and more than 150 countries, we examine the importance of social networks in influencing individuals' intention to migrate internationally and locally. We distinguish close social networks (composed of friends and family) abroad and at the current location, and broad social networks (composed of same-country residents with intention to migrate, either internationally or locally). We find that social networks abroad are the most important driving forces of international migration intentions, with close and broad networks jointly explaining about 37% of variation in the probability intentions. Social networks are found to be more important factors driving migration intentions than work-related aspects or wealth (wealth accounts for less than 3% of the variation). In addition, we nd that having stronger close social networks at home has the opposite effect by reducing the likelihood of migration intentions, both internationally and locally.
The recent economic depression in Greece hit the population of Albanian migrants in Greece particularly hard, spurring a wave of return migration that increased the Albanian labor force by 5% in less than four years, between 2011 and 2014. We study how this return migration affected the employment chances and earnings of Albanians who never migrated. We find positive effects on the wages of low-skilled non-migrants and overall positive effects on employment. The gains partially offset the sharp drop in remittances in the observed period. An important part of the employment gains are concentrated in the agricultural sector, where most return migrants engage in self-employment and entrepreneurship. Businesses run by return migrants seem to pull Albanians from non-participation, unemployment and subsistence agriculture into commercial agriculture.
Immigration and Economic Transformation: A Concept Note
Ljubica Nedelkoska, Tim O’Brien, Ermal Frasheri, Daniel Stock
In May 2017, CID prepared a concept note that described the connection between immigration and knowhow transfer internationally and profiled the current state of low immigration levels and immigration policy issues in Sri Lanka. The note identifies immigration policy reform as an important area of opportunity for unleashing higher levels of entrepreneurship and the introduction of new knowhow for economic diversification in Sri Lanka, but stops short of providing specific recommendations. Instead, the note lays out broad ideas for making immigration policy more flexible and encourages the Government of Sri Lanka to activate a cross-government policy team that is capable of developing reforms that meet Sri Lanka’s particular needs.
A Comparative View on of Immigration Frameworks in Asia: Enhancing the Flow of Knowledge through Migration
Ermal Frasheri, Ljubica Nedelkoska, Sehar Noor, Tim O’Brien
Later in 2017, at the request of a policy team of the Government of Sri Lanka, CID conducted research to compare immigration policy frameworks in other countries in Asia to understand promising policy options for Sri Lanka. Our resulting research note focuses on Indonesia, Vietnam, Thailand, Malaysia, Hong Kong, and Singapore. We find that the immigration policies of the six countries vary across numerous dimensions as each country prioritizes attracting the talents, skills and resources it needs from abroad in different ways. These variations provide a range of examples that may be relevant to decision-makers in Sri Lanka. Additionally, we find an emerging pattern among the six countries where more developed economies tend to have more elaborate immigration systems and target a more diverse set of people. By looking at available data, we also confirm that more elaborate immigration systems are closely associated with more actual immigration, higher presence of foreign firms, and higher levels of foreign direct investment (FDI) among this group of countries. Based on the comparative analysis, together with the issues identified by the Department of Immigration and Emigration’s Gap Analysis, it is possible to identify a number of principles around which future immigration reform in Sri Lanka should be organized.
Are the well-known facts about urbanization in the United States also true for the developing world? We compare American metropolitan areas with analogous geographic units in Brazil, China and India. Both Gibrat’s Law and Zipf’s Law seem to hold as well in Brazil as in the U.S., but China and India look quite different. In Brazil and China, the implications of the spatial equilibrium hypothesis, the central organizing idea of urban economics, are not rejected. The India data, however, repeatedly rejects tests inspired by the spatial equilibrium assumption. One hypothesis is that spatial equilibrium only emerges with economic development, as markets replace social relationships and as human capital spreads more widely. In all four countries there is strong evidence of agglomeration economies and human capital externalities. The correlation between density and earnings is stronger in both China and India than in the U.S., strongest in China. In India the gap between urban and rural wages is huge, but the correlation between city size and earnings is more modest. The cross-sectional relationship between area-level skills and both earnings and area-level growth are also stronger in the developing world than in the U.S. The forces that drive urban success seem similar in the rich and poor world, even if limited migration and difficult housing markets make it harder for a spatial equilibrium to develop.
We present the first evidence that international emigrant selection on education and earnings materializes through occupational skills. Combining novel data from a representative Mexican task survey with rich individual-level worker data, we find that Mexican migrants to the United States have higher manual skills and lower cognitive skills than non-migrants. Conditional on occupational skills, education and earnings no longer predict migration decisions. Differential labor-market returns to occupational skills explain the observed selection pattern and significantly outperform previously used returns-to-skills measures in predicting migration. Results are persistent over time and hold within narrowly defined regional, sectoral, and occupational labor markets.
About four years ago, at the onset of CID’s engagement in Albania, the country faced two issues that were threatening its macro-fiscal stability: a skyrocketing public debt and an insolvent, publicly-owned electricity distribution system that was plagued by theft and technical inefficiency. These two interlinked issues constrained both short-term economic growth and the ability of the country to develop new drivers of long-term growth. Over the subsequent years, the government was able to successfully respond to these constraints through a now-concluded IMF program and through a series of reforms in the electricity sector. With these constraints now relaxed, CID saw the need for a new analysis of the current and emerging constraints to growth in Albania. This analysis will guide future research and inform the government and non-government actors on emerging economic issues for prioritization.
While growth has accelerated over the last several years, to over 3% in 2016, this is not a pace that will allow for a rapid convergence of incomes and well-being in Albania with that of developed countries in Europe and elsewhere. This growth diagnostic attempts to identify the binding constraint to sustainably higher economic growth in Albania.
Recognizing that economic growth requires a number of complementary inputs, from roads to human capital to access to finance and many more, this report compares across eight potentially binding constraints using the growth diagnostic methodology to identify which constraint is most binding. This research was conducted throughout 2016, building on prior research conducted by CID and other organizations in Albania. Each constraint discussed in this report is cited by analysts within or outside the country as the biggest problem for growth in Albania. Through the growth diagnostic framework, we are able to evaluate the evidence and show that some constraints are more binding than others.
Despite serious issues in many other areas, we find that the binding constraint to stronger growth in Albania is a lack of productive knowhow. By “knowhow,” we mean the knowledge and skills needed to produce complex goods and services. Albania faces a unique knowhow constraint that is deeply rooted in its closed-off past, and the limited diversification that has taken place in the private sector can, in nearly all cases, be linked to distinct inflows of knowhow. The strongest sources of knowhow inflows into Albania have been through foreign direct investment and immigration, especially returning members of the diaspora who start new businesses or upgrade the productivity of existing businesses.
The evidence also points to particular failings in rule of law in Albania that play an important role in keeping Albania in a low-knowhow equilibrium. Weaknesses in Albania’s rule of law institutions, including frequent policy reversals and corruption in the bureaucracy and judiciary, increase the risk of investments and transaction costs of business. While it is difficult to separate perceptions from reality in this area, both perceptions of weak rule of law and actual rule of law failings appear to play critical roles in constraining more diversified investment in Albania. We find that while existing firms in Albania successfully navigate the rule of law weaknesses, and in some cases benefit from the system, potential new investors are acutely sensitive to rule of law issues.
The recent economic depression in Greece hit the population of Albanian migrants in Greece particularly hard, spurring a wave of return migration which increased the Albanian labor force by 5 percent in less than four years, between 2011 and 2014. We study how this return migration affected the employment chances and earnings of Albanians who never migrated. We find positive effects on the wages of low-skilled non-migrants and overall positive effects on employment. The gains partially offset the sharp drop in remittances in the observed period. An important part of the employment gains are concentrated in the agricultural sector, where most return migrants engage in self-employment and entrepreneurship. Businesses run by return migrants seem to pull Albanians from non-participation, unemployment and subsistence agriculture into commercial agriculture.