Recent estimates place global annual non-revenue water (NRW), i.e. water produced but not billed because of commercial or physical losses, at 126 billion cubic meters. This translates to nearly $40 billion in annual losses on waste and foregone revenues—a sum, that even if a fraction could be recovered, would underpin a compelling market opportunity for private service companies and a boost to public water utilities’ sustainability.
A new joint initiative is aiming to drive declines in NRW faster, cheaper, and more sustainably by assisting water utilities to engage private companies in performance-based contracts (PBCs). The World Bank’s Public-Private Infrastructure Advisory Facility (PPIAF) and the Bank’s Water Global Practice, in partnership with the International Water Association, analyzed 43 projects and determined that NRW initiatives supported by PBCs are 68 percent more effective compared to those undertaken by utilities alone, (see for example, Using Performance Based Contracts to Reduce NRW) and are systematically faster at reducing the rate of loss.
The vignette below was originally published in a new joint report from the World Bank, WHO and OECD, Delivering quality health services: A global imperative for universal health coverage.
Eight years ago, when she was diagnosed with rheumatoid arthritis, an autoimmune disease that causes inflammation, swelling and acute pain in the joints, Cecilia Rodriguez was Director of a primary health care facility. “I had very bad rheumatoid arthritis and spent a lot of time in bed,” says Rodriguez, who was in her thirties when she first experienced the painful symptoms. “I realized that what I had been promoting as a health administrator was very different from what I needed as a patient.”
The new water supply system at Togotoi is the first project to become operational under the Government’s National Rural Drinking Water Supply Program, which was launched last year and was called “Ala-Too Bulagy” – meaning “spring of snowy mountains.”
The Innovation Paradox: Developing-Country Capabilities and the Unrealized Promise of Technological Catch-Up – sheds light on how to address this paradox.
What is the new study Innovation Paradox all about?
The potential gains from bringing existing technologies to developing countries are vast, much higher for poor countries than for rich countries. Yet developing-country firms and governments invest relatively little to realize this potential. That’s the origin of what we are calling ‘The Innovation Paradox’.
Why do firms in developing countries lag behind when it comes to innovation?
The Innovation Paradox, argues that developing country firms choose not to invest heavily in adopting technology, even if they are keen to do so, because they face a range of constraints that prevent them from benefitting from the transfer.
Developing country firms are often constrained by low managerial capability, find it difficult to import the necessary technology, to contract or hire trained workers and engineers, or draw on the new organizational techniques needed to maximize the potential of innovation. Moreover, they are often inhibited by a weak business climate. For example, small and medium enterprises (SMEs) are constantly in a situation where they are putting out fires, they don’t have a five-year plan, they don’t have somebody keeping track of what new technology has come out of some place that they could bring to the firm.
The rates of return to investments and innovation of various kinds appear to be extremely high, yet we see a much smaller effort in these areas. In the developing countries, we need to think not only about barriers to accumulating knowledge capital, we have to think about all the barriers to accumulating all of the complementary factors—the physical capital. So, if I have a lousy education system, it doesn’t matter if I get a high-tech firm because there won’t be any workers to staff it.
Innovation requires competitive and undistorted economies, adequate levels of human capital, functioning capital markets, a dynamic and capable business sector, reliable regulation and property rights. Richer countries tend to have more of these conditions. This is at the root of Paradox. Even though follower countries have much to gain from adopting existing technologies from the advanced countries, in practice, missing and distorted markets, weak management capabilities and human capital prevent them from taking advantage of these opportunities.
Located in the warm waters of the Eastern Caribbean, Dominica is no stranger to tropical storms and hurricanes. Yet Hurricane Maria, which battered Dominica last September, was unlike anything the island nation had ever seen. Packing winds of over 160 miles per hour, the Category 5 hurricane claimed the lives of 30 people and caused total damages and losses exceeding US$1.3 billion.
We all hear about the importance of “socio-emotional skills” when looking for a job. Employers are said to be looking for individuals who are hardworking, meet deadlines, are reliable, creative, collaborative … the list goes on depending on the occupation. In recent years, it seems, these skills have become equally important as technical skills. But do employers really care about these soft skills when hiring? If so, what type of personality do they favor?
Updated country income classifications for the World Bank’s 2019 fiscal year are available here.
The World Bank assigns the world's economies into four income groups — high, upper-middle, lower-middle, and low. We base this assignment on GNI per capita calculated using the Atlas method. The units for this measure and for the thresholds is current US Dollars.
At the Bank, these classifications are used to aggregate data for groups of similar countries. The income-category of a country is not one of the factors used that influence lending decisions.
Each year on July 1st, we update the classifications. They change for two reasons:
1. In each country, factors such as income growth, inflation, exchange rates, and population change, influence GNI per capita.
2. To keep the dollar thresholds which separate the classifications fixed in real terms, we adjust them for inflation.
The data for the first adjustment come from estimates of 2017 GNI per capita which are now available. This year, the thresholds have moved down slightly because of low price inflation and the strengthening of the US dollar. Click here for information about how the World Bank classifies countries.
New thresholds are determined at the start of the Bank’s fiscal year in July and remain fixed for 12 months regardless of subsequent revisions to estimates. As of July 1 2018, the new thresholds for classification by income are:
|Threshold||GNI/Capita (current US$)|
|Lower-middle income||996 - 3,895|
|Upper-middle income||3,896 - 12,055|
Changes in Classification
The following countries have new income groups:
|Country||Old group||New group|
|Syrian Arab Rep.||Lower-middle||Low-income|
The country and lending groups page provides a complete list of economies classified by income, region, and lending status and links to previous years’ classifications. The classification tables include all World Bank members, plus all other economies with populations of more than 30,000. The term country, used interchangeably with economy, does not imply political independence but refers to any territory for which authorities report separate social or economic statistics.
Tables showing 2017 GNI, GNI per capita, GDP, GDP PPP, and Population data are also available as part of the World Bank's Open Data Catalog. Note that these are preliminary estimates and may be revised. For more information, please contact us at [email protected]
The World Development Indicators database has been updated. This is a regular quarterly update to 1,600 indicators and includes both new indicators and updates to existing indicators.
Data for population and national accounts, including GDP and GNI-related indicators, have been released for countries and aggregates.
The methodology for presenting value added for the services sector has been revised, and financial intermediary services indirectly measured (FISIM) are presented separately. Historically, FISIM was used in the calculation of the “Services, etc” indicator. Starting with July 2018 update of the WDI, FISIM is presented as a separate series, where available. In addition, the “Final consumption expenditure, etc” and “Household consumption expenditure, etc” data included any existing statistical discrepancy between GDP according to production methodology and GDP according to expenditure methodology. Starting with this update, these two series will no longer be published. Instead, indicators for final consumption expenditure and household consumption expenditure are now available. Users can find the statistical discrepancy listed as a separate indicator. You can access the latest list of indicator additions, deletions, descriptions and code changes here. The methodology for calculating value added shares has also been updated.
Other data that have been updated include FDI, tariffs, monetary and prices indicators, balance of payments, trade, health, military expenditure, air traffic, CPIA ratings, and fisheries. Purchasing Power Parities (PPP) have been updated for OECD and Eurostat countries to show the latest release. The country classification hierarchies and group aggregate data reflect the new fiscal year 2019 income classifications. Historical data have been revised as necessary.
Data can be accessed via various means including:
- The World Bank’s main multi-lingual and mobile-friendly data website, http://data.worldbank.org
- The DataBank query tool: http://databank.worldbank.org which includes archived versions of WDI.
- Bulk download in XLS and CSV formats and directly from the API
But pitting people against nature in this way offers a false choice.
Although it’s Africa's largest economy, Nigeria is missing out on the region’s most exciting financial innovation: mobile money.
Twenty-one percent of adults in Sub-Saharan Africa have a mobile money account, nearly double the share from 2014, according to the latest Global Findex report.
By contrast, Nigeria lags behind: just 6% of adults have a mobile money account, a number virtually unchanged from 2014.