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Sri Lanka has an excessively complex tariff structure that distorts the structure of the economy in important ways. It is a priority for the Government of Sri Lanka (GoSL) to rationalize the system in order to facilitate a transition to greater economic diversification, stronger export growth, and the emergence of new, higher paying jobs. Sri Lanka’s New Trade Policy makes this tariff rationalization a priority. It also recognizes that tariff rationalization should go hand in hand with new trade adjustment assistance measures to support the adjustment of firms and of people. The New Trade Policy outlines the basic contours of tariff rationalization and trade adjustment assistance measures but does not provide a detailed roadmap.

This discussion paper was prepared at the invitation of the Ministry of Development Strategies and International Trade (MoDSIT) as part of the Center for International Development’s research project on sustainable and inclusive economic growth in Sri Lanka. The aim of the paper is to study policy tools that the GoSL could use to structure trade adjustment assistance in the context of tariff rationalization. In order to accomplish this aim, we begin by outlining the type of tariff rationalization that needs to take place in order to address key constraints to growth in a way that is sensitive to both government revenue needs and political economy considerations. We stress that tariff rationalization must be approached in a holistic way that treats the various tariffs and para-tariffs as interrelated, rather than an approach that attempts to address one part of the system at a time. A holistic approach would provide many degrees of freedom to solve the underlying problems in the system while increasing revenues and potentially generating strong public support. Critically, a holistic approach would allow for a single tariff rationalization plan to be phased in over a period of years in a predictable way, whereas attempts to rationalize the system one part at a time would lead to extreme uncertainty.

With the principles of smart tariff rationalization in place, we draw upon international lessons and Sri Lanka’s own institutional capabilities to recommend a two-tiered approach to helping industries and workers adjust. In each case, the first tier represents low-cost measures that can begin in the short term to help industries and workers, regardless of whether they will be negatively impacted by tariff rationalization, while the second tier of assistance applies only to trade-affected industries and workers and can be developed in the medium term. For industries, Tier 1 support involves the use of an innovative process of public-private problem solving of industry-specific constraints, and Tier 2 support involves the use of special safeguard measures to provide an objective and transparent process for determining which industries require longer phase out periods for tariff reductions versus the tariff rationalization plan. For workers, Tier 1 support involves improved access labor market information and training opportunities through the development of regional (or local) job centers. Tier 2 support provides government funding for training and job placement services. We conclude that this package of trade adjustment assistance measures could be used to complement a holistic tariff rationalization plan. But we caution that attempts to rush the implementation of these measures without careful design and communication could deeply undermine the potential for the reforms to work in solving underlying economic problems.

How can the productive capabilities of each municipality be unleashed taking into consideration the resources available to them? A first pass at this ambitious question begins by understanding the set of outputs a municipality is capable of producing. We answer this by discovering relationships between agricultural inputs and outputs and ask a relatively simpler question: how similar are agricultural outputs in terms of the inputs they use? Answering this question is made difficult by the fact that most UPAs cultivate just one or two crops. This may be a rational response to economies of scale. Given a plot of land and inputs, it may be easier to cultivate one crop on the entire land than plant a number of them with each requiring a different care regimen³. It may be that the inputs available only allow for a few types of crops.

In this paper, we use the rural census data from Colombia to build an agricultural product space capturing the similarities between outputs. We test the predictive power of the product space and use this to answer the question above. In section 2, we discuss the various sources of data and how they are merged, cleaned, and transformed before processing. In section 3, we look at some high level features of the dataset and how inputs, outputs, and land use are related. In section 4, we explore the mechanics of diversification.

We construct similarity and density matrices and show that they do indeed predict what a municipality produces. Finally, in section 5 we use Machine Learning algorithms and the density matrices to predict municipalities that are best suited to produce a given output. Further, we identify "missing" municipalitiesoutput pairs i.e. municipalities that should be producing a given output at high yield but currently are not. Finally, we summarize our findings and suggest areas for further work.

In this report we will be making extensive use of concepts described in more detail in the companion report "How Industry-Related Capabilities Affect Export Possibilities," especially with respect to Machine Learning techniques.

The central question we will explore in this document is: Can we anticipate the opportunities that Colombian cities have to export specific products based on their existing productive capabilities?

In the following pages, we report a collection of results, analyses, and advances in which we assess how industry-related capabilities affect export possibilities. Our final goal will be to create a single measure that synthesizes all the knowledge and existing information about the productive capabilities of each city, both “horizontal” and “vertical”, and that quantifies how competitive a city can be if it aims at exporting a given product it does not yet export.

This document is broken in two main efforts: First, we want to understand the “mechanics” of diversification processes. And second, we want to be able to provide recommendations of products that are not produced in cities, but should be. The first effort requires a multitude of analyses, each trying to describe the characteristics of firms, of cities, and of the mechanisms that expand the export baskets of places. The second effort requires the development of a statistical model that is accurate when predicting the appearances of products in cities. These two efforts, explaining and predicting, are complementary, but different.

Explanations that lack the power of accurately predicting the future are useless in practice; predictions of phenomena for which we lack understanding are dangerous. But together they provide a unified story that can inform policy decisions.

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. 

In this study, we analyzed Albania’s industrial exports using the frameworks of the Product Space and Economic Complexity in order to determine which products Albania could diversify into in the near future. In particular, we identified groups of products that are technologically close to those which Albania already exports and which at the same time are technologically more sophisticated (more complex) than Albania’s average exports. This analysis does not suggest that products that do not fulfill the criteria of technological proximity and product complexity should not be invested in. However, it suggests that some products may have higher chances of succeeding in Albania because of its existing technological capabilities, while also bringing about diversification towards more complex, higher value-added production.

We find that the top two sectors that satisfy the criteria of being in close proximity to the existing technological capabilities in Albania, while also having relatively highly complex products, are Plastics/Rubbers and Agriculture/Foodstuffs. Within each of these sectors, we list more specific products that make for good candidates for diversification.

Using German social security data, we study inter-industry labor mobility to assess how industry-specific human capital is and to determine which industries have similar human capital requirements. We find that inter-industry labor flows are highly concentrated in just a handful of industry pairs. Consequently, labor flows connect industries in a sparse network. We interpret this network as an expression of industries similarities in human capital requirements, or skill relatedness. This skill-relatedness network is stable over time, similar for different types of workers and independent of whether workers switch jobs locally or over larger distances. Moreover, in an application to regional diversification and local industry growth, skill relatedness proves to be more predictive than colocation or value chain relations. To facilitate future research, we make detailed inter-industry relatedness matrices online available.

Many countries, like Sri Lanka, are trying to diversify their economies but often lack the capabilities to lead diversification programs. One of these capabilities relates to targeting new sectors to promote and pursue through a diversification policy: countries know they are ‘doomed to choose’ sectors to target,¹ but lack effective capabilities to do the targeting. This paper narrates a recent (and ongoing) initiative to establish this kind of capability in Sri Lanka. The initiative adopted a Problem Driven Iterative Adaptation (PDIA) process, where a team of Sri Lankan officials worked with Harvard Center for International Development (CID) facilitators to build capabilities. The paper tells the story of this process, providing documented evidence of the progress over time and describing the thinking behind the PDIA process. It shows how a reliable targeting mechanism can emerge in a reasonably limited period, when a committed team of public officials are effectively authorized and engaged. The paper will be of particular interest to those thinking about targeting for diversification and to those interested in processes (like PDIA) which are focused on building state capability and fostering policy implementation in public contexts.

¹ The term here comes from Hausmann, R. and Rodrik, D. 2006. Doomed to Choose: Industrial Policy as Predicament. Draft.

Countries that specialize in commodities have in recent years been hit by high volatility in world prices for their exports. This paper suggests four ways that commodity-exporters can make themselves less vulnerable.

(1) Option contracts can be used to hedge against short-term declines in the commodity price without giving up the upside, as Mexico has shown.

(2) Commodity-linked bonds can hedge longer-term risk, and often have a natural ultimate counter-party in multinational corporations that depend on the commodity as an input.

(3) The well-documented pro-cyclicality of fiscal policy among commodity exporters can be reduced by insulating official forecasters against an optimism bias, as Chile has shown.

(4) Monetary policy can be made automatically more counter-cyclical, judged by the criterion of currency appreciation in reaction to positive terms-of-trade shocks, under either of two regimes:   peggers can add the export commodity to a currency basket (CCB, for “Currency-plus-Commodity Basket”) and others can target Nominal Income instead of the CPI.