About 17 years ago, I began preparations for applying to colleges in America. One of the prerequisites to qualify for an undergraduate program was the Test of English as a Foreign Language (TOEFL), administered at testing centers around the world. I vividly remember calling the number given to see how I faired in the test, standing at an international call center booth on a sunny afternoon in Islamabad, Pakistan, my heart beating fast with anticipation. The call cost Rs.100/minute at the time ($1.05/min at the current rate). But despite the expensive price tag, the service delivered information I desperately needed.
Fast forward to the age of Google Voice, WhatsApp, Viber… You’ll agree that technology has not only advanced but services have become cheaper as well. Technology is entrenched in our everyday tasks—from communication to financial transactions, from expanding education to building resilience to natural disasters, and from informing transport planning to expanding energy to the unserved.
So, ask yourself: am I—a student, teacher, business owner, or a local government representative—reaping the full benefits of the greatest information and communication revolution in human history? With more than 40% of the world’s population with access to the internet and new users coming online every day, how can I help turn digital technologies into a development game changer? And how can the world close the global digital divide to make sure technology leaves no one behind?
IDS 2018 presents statistics and analysis on the external debt and financial flows (debt and equity) of the world’s economies for 2016. It provides more than 200 time series indicators from 1970 to 2016 for most reporting countries. To access the report and related products you can:
View the “about the data” section for a full description of the concepts and definitions in IDS.
This year’s edition is released less than 10 months after the 2016 reference period, making comprehensive debt statistics available faster than ever before. In addition to the data published in multiple formats online, IDS includes a concise analysis of the global debt landscape, which will be expanded on in a series of bulletins over the coming year.
Why monitor and analyze debt?
The core purpose of IDS is to measure the stocks and flows of debts in low- and middle-income countries that were borrowed from creditors outside the country. Broadly speaking, stocks of debt are the current liabilities that require payment of principal and/or interest to creditors outside the country. Flows of debt are new payments from, or repayments to, lenders.
These data are produced as part of the World Bank’s own work to monitor the creditworthiness of its clients and are widely used by others for analytical and operational purposes. Recurrent debt crises, including the global financial crisis of 2008, highlight the importance of measuring and monitoring external debt stocks and flows, and managing them sustainably. Here are three highlights from the analysis presented in IDS 2018:
Net financial inflows to low-and middle income countries grew, but IDA countries were left behind
In 2016, net financial flows into low- and middle-income countries grew to $773 billion - a more than three-fold increase over 2015 levels, but still lower than levels seen between 2012 and 2014.
However, this trend didn’t extend to the world’s poorest countries. Among the group of IDA-only countries, these flows fell 34% to $17.6 billion - their lowest level since 2011. This fall was driven by drops in inflows from bilateral and private creditors.
Small and medium enterprises (SMEs) are the backbone of the economy, being the main contributors to employment in developing and developed countries. Despite their importance, access to finance is relatively limited when comparing to large firms and is a major operating constraint for SMEs. The International Finance Corporation (IFC) estimates that to satisfy the demand by formal SMEs around the world credit had to increase between 900 and 1,100 billion U.S. dollars in 2011.
In a new policy brief (Abraham and Schmukler, 2017), we explore the obstacles to SME finance and some of the solutions that have been put in practice to try overcome them.
For many years, financial globalization has been promoted as a vehicle to raise living standards throughout the world, particularly in developing countries. However, a mounting body of empirical literature shows that in practice the effects of financial globalization have been overall mixed; financial globalization has only brought limited positive effects while it has also increased risks.
China has provided foreign assistance to countries around the world since the 1950s. Since it’s not part of the DAC group of donors who report their activities in a standard manner, there isn’t an official dataset which breaks down where Chinese foreign assistance goes, and what it’s used for.
A team of researchers at AidData, in the College of William and Mary have just updated their “Chinese Global Official Finance” dataset. This is an unofficial compilation of over 4,000 Chinese-financed projects in 138 countries, from 2000 to 2014, based on a triangulation of public data from government systems, public records and media reports. The team have coded these projects with over 50 variables which help to group and characterize them.
Activity-level data on an increasingly important donor
This dataset is interesting for two reasons. First, China and other emerging donors are making an impact on the development finance landscape. As the Bank has reported in the past (see International Debt Statistics 2016), bilateral creditors are a more important source of finance than they were just five years ago. And the majority of these increases are coming from emerging donors with China playing a prominent role.
Second, this dataset’s activity-level data gives us a look at trends and allocations in Chinese bilateral finance which can inform further analysis and research. Organizations like the World Bank collect data on financial flows directly from government sources for our operational purposes, but we’re unable to make these detailed data publicly available. We compile these data into aggregate financial flow statistics presented from the “debtor perspective”, but they’re not disaggregated by individual counterparties or at an activity-level. So there can be value added from sources such as AidData’s China dataset.
A detailed view, but only part of the picture of all financial flows
However, this dataset has limitations. It only presents estimates of “official bilateral credits”. These are flows between two governments, and are just one part of the total financial flows coming from China. By contrast, the World Bank is able to integrate the granular data it collects from countries into the full set of financial flows to and from its borrowing countries. This situates official bilateral credit among the broader spectrum of providers of long-term financing (such as bondholders, financial intermediaries, and other private sector entities), sources of short-term debt (including movements in bank deposits), and equity investments (foreign direct and portfolio investments). This data integration leads to better quality statistics.
In short, AidData’s China dataset provides more detail on one type of financial flow, but is likely to be less reliable for a number of low-income countries. With these caveats in mind, I’ve done a quick exploration of the dataset to produce some summary statistics and give you an idea of what’s inside.
Looking at foreign assistance by type of flow
First, let’s see what the trends in different types of foreign assistance look like. AidData researchers code the projects they’ve identified into three types of “flow”:
Official Development Assistance (ODA), which contains a grant element of 25% or more and is primarily intended for development.
Other Official Flows (OOF), where the grant element is under 25% and the the financing more commercial in nature.
Vague Official Finance, where there isn’t enough information to assign it to either category.
Here are the total financial values of the projects in AidData’s dataset, grouped by flow type and year:
It looks like more Chinese finance is classed as OOF ($216bn in the period above) than ODA ($81bn), and that 2009 is a bit of an outlier. With this dataset, we next can figure out which countries are the top recipients of ODA and OOF, and also which sectors are most financed.
Now that the Nobel Committee has decided to award the prize once again for work in behavioral economics, it is a good time to study the role of disclosure formats for effective consumer protection.
We partnered with CONDUSEF, the financial consumer protection agency in Mexico, and the Superintendent of Banks in Peru to test which types of product disclosures work best for savings and credit products by low-income consumers in Peru and Mexico.
In a lab experiment, low-income consumers were assigned a financial needs profile—such as having to make two withdrawals per month from a savings accounts and two balance inquiries—and then incentivized to choose the product that best fit their needs. In each round of the experiment, we tested different methods for providing summary product information. In Mexico, we tested comparative tables; in Peru, we tested a key facts statement (KFS) designed by the financial institutions; and in both countries we tested.
This blog is part of a series exploring new sources of competitiveness in Bangladesh
Did you know that Bangladesh is the 2nd largest non-EU exporter of bicycles to the EU and the 8th largest exporter overall?
Bicycles are the largest export of Bangladesh’s engineering sector, contributing about 12 percent of engineering exports.
This performance is in large part due to the high anti-dumping duty imposed by the EU against China.
Recently, the EU Parliament and the Council agreed on EU Commission’s proposal on a new methodology for calculating anti-dumping on imports from countries with significant market distortions or pervasive state influence on the economy.
This decision could mean that the 48.5 percent anti-dumping duty for Chinese bicycles may not end in 2018 as originally intended. China is disputing the EU’s dumping rules at the World Trade Organization.
As the global bicycle market is expected to grow to $34.9 billion by 2022, Bangladesh has an opportunity to diversify its exports beyond readymade garments. Presently, Bangladesh is the 2nd largest non-EU exporter of bicycles to the EU and the 8th largest exporter overall.
However, if the EU anti-dumping duty against China is reduced or lifted after 2018, Bangladesh’s price edge might be eroded.
Since 1970, the electricity generation capacity of Turkey has increased more than 30-fold to reach 70,000 MW in March 2015. In a country of nearly 80 million people, demand for electricity has risen about 7 percent annually in recent years, requiring steady efforts to expand the sources of reliable and clean power. Starting in the early 2000s, through a series of interlinked measures supported by the World Bank Group, the country has worked to meet this growing demand, while spurring private-sector investment and innovation. Read more.
Sri Lanka experienced strong growth at the end of its 26-year conflict. This was to be expected as post-war reconstruction tends to bring new hope and energy to a country.
And Sri Lanka has done well—5 percent growth is nothing to scoff at.
However, Sri Lanka needs to create an environment that fosters private-sector growth and creates more and better jobs. To that end, the country should address these 6 pressing challenges:
1. The easy economic wins are almost exhausted
For a long time, the public-sector has been pouring funds into everything from infrastructure to healthcare. Unfortunately, Sri Lanka’s public sector is facing serious budget constraints. The island’s tax to growth domestic product (GDP) ratio is one of the lowest in the world, falling from 24.2% in 1978 to 10.1% in 2014. Sri Lanka should look for more sustainable sources of growth. As in many other countries, the answer lies with the private sector.
2. Sri Lanka has isolated itself from global and regional value chains
Over the past decades, Sri Lanka has lost its trade competitiveness. As illustrated in the graph below, Sri Lanka outperformed Vietnam in the early 1990s on how much of its trade contributed to its growth domestic product. Vietnam has now overtaken Sri Lanka where trade has been harmed by high tariffs and para-tariffs and trade interventions on agriculture.
Sri Lanka’s private sector is ailing. Sri Lankan companies are entrepreneurial and the country’s young people are smart, inquisitive, and dynamic. Yet, this does not translate into a vibrant private sector. Instead, public enterprises are the ones carrying the whole weight of development in this country.
The question is, why is the private sector not shouldering its burden of growth?
From the chart above, you can see how difficult it is to set up and operate a business in Sri Lanka. From paying taxes to enforcing contracts to registering property, entrepreneurs have the deck stacked against them.
Trading across borders is particularly challenging for Sri Lankan businesses. Trade facilitation is inadequate to the point of stunting growth and linkages to regional value chains. The chart explains just why Sri Lanka is considered one of the hardest countries in the world to run a trading business. Compare it to Singapore–you could even import a live tiger there without a problem.
“200 pieces of Selfie are ready, please call them to collect,” Nurjahan, an entrepreneur selling a local brand “Selfie” shoes, tells her husband to call a local shop owner to pick up his order.
We recently visited Bhairab to get a first-hand look at one of the important industrial clusters in Bangladesh, where Nurjahan’s shoe microenterprise is located.
Bhairab is about 85-kilometer from the capital Dhaka, and its shoe cluster is well organized into around 7,000 factories of which 40 percent are micro factories (employing between two to seven workers). They are mostly family-run, producing low-cost shoes, mostly for the local market at prices as low as just Tk100 – or around $1.25 a pair. Virtually none of these factories have access to bank financing, although some access credit from NGOs. In Nurjahan’s shoe factory, about 45 women and 12 men work in five sheds. Over the last 30 years, her micro business has grown into a small enterprise.