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In 2018, the Growth Lab team turned attention to diagnosing growth problems at the subnational level. The Prime Minister of Sri Lanka requested that the team start with the North Central Province, which had been experiencing recurring droughts, which had in turn been affecting national rice production. This presentation summarizes what the team found and presented to a local university in the North Central Province in September 2018. People in the province had long been working to escape from the vulnerability and low income levels of rice farming and the diagnostic found important areas for national-local coordination to support pathways to a stronger, and more connected, local economy.

The degree to which modern technologies are able to substitute for groups of job tasks has renewed fears of near-future technological unemployment. We argue that our knowledge, skills and abilities (KSA) go beyond the specific tasks we do at the job, making us potentially more adaptable to technological change than feared. The disruptiveness of new technologies depends on the relationships between the job tasks susceptible to automation and our KSA. Here we first demonstrate that KSA are general human capital features while job tasks are not, suggesting that human capital is more transferrable across occupations than what job tasks would predict. In spite of this, we document a worrying pattern where automation is not randomly distributed across the KSA space – it is concentrated among occupations that share similar KSA. As a result, workers in these occupations are making longer skill transitions when changing occupations and have higher probability of unemployment.

The literature on income gaps between Chiapas and the rest of Mexico revolves around individual factors, such as education and ethnicity. Yet, twenty years after the Zapatista rebellion, the schooling gap between Chiapas and the other Mexican entities has shrunk while the income gap has widened, and we find no evidence indicating that Chiapas indigenes are worse-off than their likes elsewhere in Mexico. We explore a different hypothesis. Based on census data, we calculate the economic complexity index, a measure of the knowledge agglomeration embedded in the economic activities at a municipal level in Mexico. Economic complexity explains a larger fraction of the income gap than any individual factor. Our results suggest that chiapanecos are not the problem, the problem is Chiapas. These results hold when we extend our analysis to Mexico’s thirty-one federal entities, suggesting that place-specific determinants that have been overlooked in both the literature and policy, have a key role in the determination of income gaps.

Economists have long discussed the negative effect of Dutch disease episodes on the non-resource tradable sector as a whole, but little has been said on its impact on the composition of the non-resource export sector. This paper fills this gap by exploring to what extent concentration of a country's non-resource export basket is determined by their exports of natural resources. We present a theoretical framework that shows how upward pressure in wages caused by a resource windfall results in higher export concentration. We then document two robust empirical findings consistent with the theory. First, using data on discovery of oil and gas fields and of commodity prices as sources of exogenous variation, we find that countries with larger shares of natural resources in exports have more concentrated non-resource export baskets. Second, we find capital-intensive exports tend to dominate the export basket of countries prone to Dutch disease episodes.

Listen to the podcast interview with the authors

In August 2016, the Government of Sri Lanka (GoSL) and the Building State Capability program of CID convened five teams of civil servants, tasking them with solving issues related to investment and export promotion. One of these teams, the “Targeting Team,” took on the task of formulating and executing a plan to identify promising new economic activities for investment and export promotion in Sri Lanka. With the assistance of CID’s Growth Lab, the Targeting Team assembled and analyzed over 100 variables from 22 datasets, studying all tradable activities and 29 representative subsectors. Their analysis highlighted the potential of investment related to electronics, electrical equipment and machinery (including automotive products), as well as tourism. Ultimately, the team’s recommendations were incorporated in GoSL strategies for investment promotion, export development, and economic diplomacy; extensions of the research were also used to help plan new export processing zones and target potential anchor investors.

This report summarizes the methodology and findings of the Targeting Team, including scorecards for each of the sectors studied.

Economies grow by adding new products and services to their production portfolio, not by producing more of the same kinds of products. The key to such diversification is access to know-how, but know-how often has to come from abroad. This is because it is often easier to move brains to new countries than to move new know-how into brains. In the experience of Singapore, India, Vietnam and most other dynamic economies, three channels of know-how transfer stand out: FDI, immigration and diaspora networks.

In this lecture, Professor Hausmann explores the relationship between economic development and the accumulation of know-how. In particular, he discusses how to tackle Sri Lanka’s limited export diversification.

Video - Acessing Know-how for Growth in Sri Lanka

Video - Full Q&A on Sri Lanka's export diversification

This note collects evidence related to possible constraints to economic growth, and their relation with GoSL’s industrial zone development agenda. We find that new zones are especially well-suited to help address Sri Lanka’s lack of industrial land and high policy uncertainty, both of which may be holding back growth. Less clear, however, are zones’ impact on Sri Lanka’s limited transport links beyond the Western Province. Finally, partnering with well-connected zone management companies may also help create opportunities to connect with firms in new, non-traditional sectors.

Setting a country’s structural growth rate on a higher path, i.e. sparking and sustaining a growth acceleration can have quantitatively huge implications for national income and, more broadly, for people’s wellbeing. We develop a novel statistical framework to identify systematically the set of binding constraints that were unlocked before the 135 growth acceleration episodes that took place between 1962 and 2002 worldwide. We employ this information to characterise the acceleration process, which tends to be preceded by a deep recession and major economic policy changes. Once we combined this information with a set of counterfactual analyses, we find however that successful acceleration strategies should not contain off-the-shelf approaches or necessarily all-encompassing “shock therapy” solutions. On the other hand, they call for a careful tailoring to local conditions. Richer countries tend to experience fewer accelerations, but once these have been ignited, they are better positioned to make the most out of them. Despite standard growth determinants doing a fairly good job at characterising successful accelerations, we note how take-offs remain extremely hard to engineer with a high degree of certainty.

Throughout 2016, CID conducted a growth diagnostic analysis for Sri Lanka in collaboration with the Government of Sri Lanka, led by the Prime Minister’s Policy Development Office (PDO), and the Millennium Challenge Corporation (MCC). This presentation report aggregates collaborative quantitative and qualitative analysis undertaken by the research team. This analysis was originally provided to the Government of Sri Lanka in April 2017 in order to make available a record of the detailed technical work and CID’s interpretations of the evidence. A written executive summary is provided here as a complement to the detailed presentation report. Both the report and the executive summary are structured as follows. First, the analysis identifies Sri Lanka’s growth problem. It then presents evidence from diagnostic tests to identify what constraints are most responsible for this problem. Finally, it provides a summary of what constraints CID interprets as most binding and suggests a “growth syndrome” that underlies the set of binding constraints. 

In brief, this growth diagnostic analysis shows that economic growth in Sri Lanka is constrained by the weak growth of exports, particularly from new sectors. Compared to other countries in the region, Sri Lanka has seen virtually no diversification of exports over the last 25 years, especially in manufactured goods linked through FDI-driven, global value chains. We found several key causes behind this lack of diversified exports and FDI: Sri Lanka’s ineffective land-use governance, underdeveloped industrial and transportation infrastructure, and a very high level of policy uncertainty, particularly in tax and trade policy. We believe that these issues trace back to an underlying problem of severe fragmentation in governance, with a critical lack of coordination between ministries and agencies with overlapping responsibilities and decision-making authority.

The fact that firms benefit from close proximity to other firms with which they can exchange inputs, skilled labor or know-how helps explain why many industrial clusters are so successful. Studying the evolution of coagglomeration patterns, we show that which type of agglomeration benefits firms has drastically changed over the course of a century and differs markedly across industries. Whereas, at the beginning of the twentieth century, industries tended to colocate with their value chain partners, in more recent decades the importance of this channels has declined and colocation seems to be driven more by similarities industries' skill requirements. By calculating industry-specific Marshallian agglomeration forces, we are able to show that, nowadays, skill-sharing is the most salient motive in location choices of services, whereas value chain linkages still explain much of the colocation patterns in manufacturing. Moreover, the estimated degrees to which labor and input-output linkages are reflected in an industry's coagglomeration patterns help improve predictions of city-industry employment growth.

Original version of this paper was published in 2016.

Macroeconomic adjustment in the euro area periphery was more recessionary than pre-crisis imbalances would have warranted. To make this claim, this paper uses a Propensity Score Matching Model to produce counterfactuals for the Eurozone crisis countries (Greece, Portugal, Ireland, Cyprus, Spain) based on over 200 past macroeconomic adjustment episodes between 1960-2010 worldwide. At its trough, between 2010 and 2015 per capita GDP had contracted on average 11 percentage points more in the Eurozone periphery than in the standard counterfactual scenario. These results are not dictated by any specific country experience, are robust to a battery of alternative counterfactual definitions, and stand confirmed when using a parametric dynamic panel regression model to account more thoroughly for the business cycle. Zooming in on the potential causes, the lack of an independent monetary policy, while having contributed to a deeper recession, does not fully explain the Eurozone’s specificity, which is instead to be identified in a sharper-than-expected contraction in investment and fiscal austerity due to high funding costs. Reading through the overall findings, there are reasons to believe that an incomplete Eurozone institutional setup contributed to aggravate the crisis through higher uncertainty.