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.
Credit market activity in Albania has been sluggish in recent years in spite of low and declining interest rates. The economy lost its growth momentum after 2009. Investment and lending activity slowed down substantially despite low interest rates, relative macroeconomic resilience, and available capacity in the private sector to take on more debt. This study analyzes the supply (lenders’) and demand (borrowers’) sides of the market.
The reason behind the credit market failure is a supply-demand mismatch. Poor financial intermediation is the main problem on the supply side. Despite excess liquidity in the financial sector, banks are excessively risk-averse, bank practices and products are unsophisticated, and non-bank financial market is underdeveloped. Excessive risk aversion translates into tight credit standards, credit rationing and credit crunch for some economic sectors, in particular those dominated by SMEs. On the demand side, firms overall have a low appetite to expand, limited capacity to create bankable and financially viable projects, and are also constrained by infrastructural gaps and economic uncertainty. The mismatch results from the fragmentation of the credit market, with reliable borrowers from traditional sectors having easy access to finance, and other segments being almost fully deprived of credit.
Government and donor-led policies to mitigate the problem have had little success. Albania enjoys access to a number of domestic and external funding schemes primarily focused on alleviating funding constraints for credit-deprived sectors, but these programs have been ineffective. Further study is needed to understand the reasons behind the limited success of these programs.
A National Development Bank (NDB) could address some of the observed credit market challenges. While an NDB’s ability to directly resolve demand-side constraints would be limited, an NDB could effectively tackle supply-side constraints in the credit market as well as provide surveillance and collect information from the private sector, leverage technical assistance, and develop tailored financial products. Establishing an NDB should be considered carefully, taking into account functional, governance, funding, staffing and other risk factors.
When the Albanian Communist regime fell in 1991-92, many Albanians saw their future outside the borders of Albania. At that time in history, no one anticipated the scale of migration that would take place in the subsequent two decades. Today, one third of Albania’s 1991 population lives abroad. Most of these migrants live and work in neighboring Greece and Italy. The third most popular destination is however the United States. Besides this new wave of migrants, the US has an old Albanian diaspora–the offspring of migrants who came to the US between the First and the Second World War. This is what mainly gives rise to the second generation Albanian-Americans.
To the best of our knowledge, there is currently no systematic documentation of the socio-demographic and economic characteristics of the Albanian community in the US. To bridge this gap, we use data from the American Community Survey 2012 and analyze these characteristics. The profiling could be of interest for anyone who focuses on the Albanians abroad – the Government’s Programs dealing with diaspora and migration issues, researchers interested in migration questions, the Albanian Community Organizations in the US or the diaspora members themselves.
We find that the first and the second generation Albanian-Americans have distinctive features. The first generation (those who arrived after the fall of Communism) is more educated than the non-Albanian Americans with comparable demographics. This is particularly true of Albanian women. The education of the second generation resembles more closely the US population with comparable demographic characteristics.
Despite the qualification advantage, first generation Albanian-Americans earn much less than non-Albanian Americans with comparable socio-demographic characteristics. We find that this is not associated with being Albanian per se but with being an immigrant more generally. The migrant-native gap narrows down with time spent in the US.
An important channel through which the current gap is maintained is qualification mismatch. We observe that first generation Albanian-Americans are over-represented in occupations requiring little skills and under-represented in occupations requiring medium and high skills, in direct contrast to them being more educated than non-Albanians.
When it comes to the earnings of second generation Albanian-Americans, the situation is more nuanced. The low skilled Albanian-Americans earn significantly more, and the highly skilled Albanian-Americans earn significantly less than the non-Albanian Americans with comparable socio-demographic characteristics. We currently do not have a straightforward explanation for this pattern.
The Albanian population in the US is highly concentrated in a few states: New York, Michigan and Massachusetts account for almost 60% of all Albanian Americans. The community in Massachusetts is the best educated; best employed and has the highest earnings among the three, but is also the oldest one in terms of demographics.
However, due to its sheer size (over 60,000 Albanian-Americans), New York is the host of most Albanians with BA degree (about 10,000). New York also hosts the largest number of high earning Albanians (about 1,800 earn at least $100,000 a year).
This survey studies the ways in which active Albanian-Americans would like to engage in the development of their home countries. Its results will help us define the focus of the upcoming events organized under the Albanian Diaspora Program.
Between March 6th and March 22nd 2015, 1,468 Albanian-Americans took part in the online survey, of which 869 completed the survey. The results presented in this report are based on the answers of the latter group. The results of this survey do not represent the opinions of the general Albanian-American community, but rather the opinions of those who are more likely to engage in an Albanian Diaspora Program.
The survey was jointly prepared with the following Albanian-American organizations: Massachusetts Albanian American Society (MAAS/BESA), Albanian American Success Stories, Albanian Professionals in Washington D.C., Albanian Professionals and Entrepreneurs Network (APEN), Albanian-American Academy, Albanian American National Organization, and VATRA Washington D.C. Chapter. The survey was sponsored by the Open Society Foundations, as a part of the grant OR2013-10995 Economic Growth in Albania granted to the Center for International Development at Harvard University.
Harvard University’s Center for International Development and the Government of Albania has been engaged in a two year growth strategy exercise starting in 2013 till 2015. Discussions with the Ministry of Agriculture yielded that there is a need for conducting value chain studies on a few important product groups with the following objective:
- Cultivate ‘value chain’ oriented thinking within the Ministry of Agriculture
- Identify key issues ‘within’ the particular product groups and ‘across’ different product groups that need to be tackled at the public policy level
Here is a value chain study of the Medicinal & Aromatic Plants (MAPs), specifically of sage and lavender. The products have been chosen given its huge importance in the economy as the largest export commodity in agriculture and their contributions to a farmer’s income. A special black-belt team comprising ministry officials will take forward the findings of this study and will iteratively make policy, ensuring better policies and implementation at the same time.
The Centre for International Development (CID) at Harvard University has been leading a two year project with the Government of Albania to help identify and implement growth strategies by studying the constraints that bind specific sectors. In May this year, the Ministry of Agriculture tasked CID to look at the ban imposed by the European Union (EU) on the export of mussels from Albania. The research was sponsored by the Open Society Foundations, as a part of the grant OR2013-10995 Economic Growth in Albania granted to CID.
During the research project, we studied the value chain of mussel production and certification in Albania, mapped the requirements laid down by EU legislation and identified shortfalls in compliance. This report presents our findings and recommendations.
The Butrint lagoon is the main production center for mussels in Albania. By 1989, production from the lagoon had increased to 5,000 tons per year. It dropped dramatically in the 1990s due to an outbreak of cholera and the subsequent ban on the export of mussels by the EU. The ban has not been lifted since. Albania still cannot export mussels to the EU because these do not meet the required sanitary standards.
Our research finds that lack of reliable and affordable purification facilities is at the root of the problem. Unless this constraint is alleviated, it will continue to frustrate efforts to ensure compliance with standards.
During the last years production of fresh vegetables in Albania had an important growth due to the increase in the number of Ha using Greenhouses technologies. Many of the new investments came from former expats who spent a few years working abroad and came back -in some cases because of the crisis in Greece - with money and some experience in the field. However, although exports showed an important growth (in tomatoes, for example exports doubled from 2013 to 2011!), the sector has not been able to definitely take off and be a relevant player in the international market. The problem is not only that the share of Albania in the European trade is almost negligible but also that diversification didn't happen, quality has not improved and as a consequence the prices that Albanian producers get is very low - the lowest in Europe for some products like tomatoes. In this context, Albania has been focusing on the regional markets (probably not consciously but as a consequence of not having established a commercial relation with higher-end markets and not having a proper quality produce to offer), has been excluded from the best markets and has not improved the productive methods, practices, etc. Given this situation the building of new capacity was not necessarily a success: local markets started to be oversupplied and production losses are very high as a consequence.
In this report we analyzed the value chain of the fresh vegetables sector, focusing on the production of tomatoes. We detail the problems of the whole value chain (from the production to the marketing), pointing out the "missing links" that are preventing Albania to become a major tomato exporter in the European market. We find that there is a huge potential for the country - in terms of the natural conditions and also in terms of competitiveness -, but it is very difficult to be reached without making a re-organization of the sector to make it more integrated and give the proper incentives to solve simultaneously all the problems.
We found that in order to improve the general productivity of the sector it is not necessary to make huge capital disbursements. Although some of the constraints are clearly money-related, most of them are organization-related.
What the propose in this report is a method to re-organize the sector in a way that makes it easier for the economic agents to vertically and horizontally integrate and transform the sector into a "factory", where every participant has its defined role and work is divided with specific roles. The role of the Government is twofold: first, to facilitate the organization of this model, find the actors that can lead the change and provide them the incentives to coordinate. Second, to provide all the public goods that are now missing or incomplete (not only in terms of infrastructure but also in terms of marketing, negotiations, etc). In the next sections we explain with detail the constraints and missing links we found throughout the value chain of tomatoes and propose a new model to solve them. We show that with little organizational changes, Albania could increase its tomato exports by four times in a few years.
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 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.