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01 / 05
The Questionable Economics of Foreign Aid

Blog Post | Economic Growth

The Questionable Economics of Foreign Aid

Strong institutions and good policy - not foreign aid - will lift Africans from poverty.

In 2015, David Cameron’s government enshrined in law the UK’s commitment to spend 0.7 per cent of its gross national income on foreign aid each year. Ahead of last month’s general election, Theresa May reaffirmed Cameron’s commitment, which amounted to over 13 billion pounds in 2016. “Let’s be clear,” May said, “the 0.7 per cent commitment remains and will remain.”

British charities, including Save the Children, Oxfam, Christian Aid and Comic Relief, praised Mrs. May’s decision, stating that “the aid should be untied, focused on poverty reduction and spent through an independent Department for International Development.” Yet many of the same organizations are also concerned about what they perceive as the lack of government spending at home.

“Grenfell Tower is a Hurricane Katrina moment, revealing the shameful state of Britain,” wrote Oxfam’s strategic adviser Duncan Green following the Grenfell Tower fire. “Austerity, which has seen the budgets of local government cut dramatically with the greatest cuts felt by the poorest areas,” was partly to blame for the disaster, he averred.

While the continued plight of the world’s poor and problems experienced by the British underclass should not occasion jokes about “magic money trees”, it is a simple fact of life that the UK, like most Western nations, must economize. The British debt and deficit amount to 86 per cent and 2.6 per cent of GDP, and while UK domestic spending is best left to British economists to address, I would like to offer some thoughts on foreign aid. And, in particular, the theory behind foreign aid and its impact on the world’s poorest region, Africa.

The first question is whether aid is necessary. In the 1950s and 1960s, many development economists believed in the “vicious cycle of poverty” theory, which argued that poverty in the developing world prevented the accumulation of domestic savings. People in poor countries consumed all of their income and had nothing left to save and invest. Low savings resulted in low domestic investment, and low investment was seen as the main impediment to rapid economic growth. Foreign aid, therefore, was intended to fill the apparent gap between insufficient savings and the requisite investment in the economy.

Today’s calls for more foreign aid are often based on the same theory. Thus, the UK’s Department for International Development (DfID) website claims that it is “targeting British international development policy on economic growth and wealth creation [in poor countries].” The United States Agency for International Development (USAID) promises to work “with private-sector companies to spur economic development, so that citizens can participate in a vibrant economy that allocates resources wisely.”

Yet experience contradicts the “vicious cycle of poverty” theory. Today, many formerly poor countries enjoy high standards of living, while others have stagnated or, in some cases, regressed. For example, the 1960 per-capita income in South Korea was $1,102. In Ghana it was $1,053. By 2015 Korea had reached $25,022, while Ghana is yet to break $2,000, only rising to $1,696 (the figures are in 2010 dollars). Yet, as can be seen in the graph below, Ghana received much more in net official development aid (ODA) per capita than South Korea between 1960 and 2015 (figures are in current U.S. dollars).

As New York University Professor William Easterly wrote, “It doesn’t help the poverty trap story that 11 out of the 28 poorest countries in 1985 had not been in the poorest fifth back in 1950. They had gotten into poverty by declining from above, rather than being stuck in it from below, while others escaped. If the identity of who is in the poverty trap keeps changing, it must not be much of a trap.”

Countries that improve their policies and institutions — by increasing their trade openness, limiting state intervention in the economy, building a business-friendly environment, and emphasizing protection of property rights and the rule of law — tend to grow faster than others. Such countries also tend to attract foreign capital, which can help to increase economic growth. Improvement in policies and institutions also creates a suitable environment for growth in domestic investment. As trust in institutions such as the rule of law and protection of private property grows, people feel more confident investing in the local economy.

Today, the size and the scope of global capital markets make Africa’s access to capital potentially easier than at any time in the past. Indeed, private capital flows to developing countries now dwarfs aid flows.

According to the Brookings Institution, ODA to African countries has fallen from “62 per cent of total external flows in 1990 to 22 per cent in 2012,” and the disappearing aid has been largely replaced by private capital. “The volume of external flows to the region increased from $20 billion in 1990 to above $120 billion in 2012. Most of this increase in external flows to sub-Saharan Africa can be attributed to the increase in private capital flows.”

Sub-Saharan Africa is the least economically free region in the world. There is a general consensus among economists that Africa needs to catch up with the rest of the world in terms of economic liberalization. Aid is often intended to promote policy reform, yet it has helped to create disincentives to liberalization for a number of reasons.

For example, aid is often driven by foreign policy considerations, not economics. For much of the Cold War, African countries were given bilateral and multilateral assistance on the basis of their geopolitical importance to the West and the Soviet Union. More recently, a 2015 study by AidData revealed that Chinese aid to Africa is used to both “promote Chinese foreign policy goals,” and advance “the economic interests of the Chinese state as well as Chinese firms operating abroad.” Likewise, American aid to African countries like Ethiopia is often strongly influenced by geopolitical interests. As a recent piece in the Harvard International Review noted, American aid to Ethiopia was long driven by a desire to prevent the spread of Islamic extremism in the country.

Aid has not led to economic reforms in Africa. In the 1980s, the World Bank started to promote structural adjustment loans that were meant to disburse aid to countries in exchange for their commitment to economic reforms. Such conditional lending soon proved ineffective, in part because aid agencies have no enforcement mechanism, and also because they have a well-known bureaucratic incentive to lend, which undermines the credibility of their conditionality.

In fact, aid may also actively retard policy reform. Between 1970 and 1993, for example, the World Bank and the IMF gave Zambia 18 adjustment loans with little or no reform staking place, forcing World Bank researchers to conclude that “this large amount of assistance sustained a poor policy regime.” More generally, two World Bank researchers concluded that “higher aid slowed reform [in the developing world] over the 1980–2000 period.”

Even in those countries that follow sensible macroeconomic policies, aid appears to have no positive effect and may go so far as to discourage reform. Some World Bank research claimed that developing countries that follow good fiscal, monetary, and trade policies benefit from foreign aid. But that research has been difficult to independently corroborate. Scholars who used updated World Bank data found no positive correlation between foreign aid and economic growth in countries with “good policies.” Research suggests that when governments do decide to undertake economic reforms, they tend to do so because of domestic factors, including economic crises.

In short, the theoretical case for foreign aid is, at best, questionable, and aid’s practical impact on some of the world’s poorest economies may well have been harmful.

This first appeared in CapX.

BusinessMirror | Poverty Rates

PHL Could Hit Single-Digit Poverty Years Ahead of Schedule

“Better labor market conditions and slower inflation in the country could turn the administration’s single-digit poverty incidence aspirations into a reality two years ahead of schedule.

This was according to the latest Macro Poverty Outlook for the Philippines, released by the World Bank on Monday. It estimated that poverty incidence in the country could decrease to 9.3 percent in 2026 from 12.2 percent this year and 17.8 percent in 2021.”

From BusinessMirror.

Blog Post | Science & Technology

AI Is a Great Equalizer That Will Change the World

A positive revolution from AI is already unfolding in the global East and South.

Summary: Concerns over potential negative impacts of AI have dominated headlines, particularly regarding its threat to employment. However, a closer examination reveals AI’s immense potential to revolutionize equal and high quality access to necessities such as education and healthcare, particularly in regions with limited access to resources. From India’s agricultural advancements to Kenya’s educational support, AI initiatives are already transforming lives and addressing societal needs.


The latest technology panic is over artificial intelligence (AI). The media is focused on the negatives of AI, making many assumptions about how AI will doom us all. One concern is that AI tools will replace workers and cause mass unemployment. This is likely overblown—although some jobs will be lost to AI, if history is any guide, new jobs will be created. Furthermore, AI’s ability to replace skilled labor is also one of its greatest potential benefits.

Think of all the regions of the world where children lack access to education, where schoolteachers are scarce and opportunities for adult learning are scant.

Think of the preventable diseases that are untreated due to a lack of information, the dearth of health care providers, and how many lives could be improved and saved by overcoming these challenges.

In many ways, AI will be a revolutionary equalizer for poorer countries where education and health care have historically faced many challenges. In fact, a positive revolution from AI is already unfolding in the global East and South.

Improving Equality through Education and Health Care

In India, agricultural technology startup Saagu Baagu is already improving lives. This initiative allows farmers to increase crop yield through AI-based solutions. A chatbot provides farmers with the information they need to farm more effectively (e.g., through mapping the maturity stages of their crops and testing soil so that AI can make recommendations on which fertilizers to use depending on the type of soil). Saagu Baagu has been successful in the trial region and is now being expanded. This AI initiative is likely to revolutionize agriculture globally.

Combining large language models with speech-recognition software is helping Indian farmers in other ways. For example, Indian global impact initiative Karya is working on helping rural Indians, who speak many different languages, to overcome language barriers. Karya is collecting data on tuberculosis, which is a mostly curable and preventable disease that kills roughly 200,000 Indians every year. By collecting voice recordings of 10 different dialects of Kannada, an AI speech model is being trained to communicate with local people. Tuberculosis carries much stigma in India, so people are often reluctant to ask for help. AI will allow Indians to reduce the spread of the disease and give them access to reliable information.

In Kenya, where students are leading in AI use, the technology is aiding the spread of information by allowing pupils to ask a chatbot questions about their homework.

Throughout the world, there are many challenges pertaining to health care, including increasing costs and staff shortages. As developed economies now have rapidly growing elderly populations and shrinking workforces, the problem is set to worsen. In Japan, AI is helping with the aging population issue, where a shortage of care workers is remedied by using robots to patrol care homes to monitor patients and alert care workers when something is wrong. These bots use AI to detect abnormalities, assist in infection countermeasures by disinfecting commonly touched places, provide conversation, and carry people from wheelchairs to beds and bathing areas, which means less physical exertion and fewer injuries for staff members.

In Brazil, researchers used AI models capable of predicting HER2 subtype breast cancer in imaging scans of 311 women and the patients’ response to treatment. In addition, AI can also help make health resource allocations more efficient and support tasks such as preparing for public health crises, such as pandemics. At the individual level, the use of this technology in wearables, such as smartwatches, can encourage patient adherence to treatments, help prevent illnesses, and collect data more frequently.

Biometric data gathered from wearable devices could also be a game-changer. This technology can detect cancers early, monitor infectious diseases and general health issues, and give patients more agency over their health where access to health care is limited or expensive.

Education and health care in the West could also benefit from AI. In the United States, text synthesis machines could help to address the lack of teachers in K–12 education and the inaccessibility of health care for low-income people.

Predicting the Future

AI is already playing a role in helping humanity tackle natural disasters (e.g., by predicting how many earthquake aftershocks will strike and their strength). These models, which have been trained on large data sets of seismic events, have been found to estimate the number of aftershocks better than conventional (non-AI) models do.

Forecasting models can also help to predict other natural disasters like severe storms, floods, hurricanes, and wildfires. Machine learning uses algorithms to reduce the time required to make forecasts and increase model accuracy, which again is superior to the non-AI models that are used for this purpose. These improvements could have a massive impact on people in poor countries, who currently lack access to reliable forecasts and tend to be employed in agriculture, which is highly dependent on the weather.

A Case for Optimism

Much of the fear regarding AI in the West concerns the rapid speed at which it is being implemented, but for many countries, this speed is a boon.

Take the mobile phone. In 2000, only 4 percent of people in developing countries had access to mobile phones. By 2015, 94 percent of the population had such access, including in sub-Saharan Africa.

The benefits were enormous, as billions gained access to online banking, educational opportunities, and more reliable communication. One study found that almost 1 in 10 Kenyan families living in extreme poverty were able to lift their incomes above the poverty line by using the banking app M-Pesa. In rural Peru, household consumption rose by 11 percent with access to phones, while extreme poverty fell 5.4 percent. Some 24 percent of people in developing countries now use the mobile internet for educational purposes, compared with only 12 percent in the richest countries. In lower-income countries, access to mobile phones and apps is life-changing.

AI, which only requires access to a mobile phone to use, is likely to spread even faster in the countries that need the technology the most.

This is what we should be talking about: not a technology panic but a technology revolution for greater equality in well-being.

Brookings | Poverty Rates

India Eliminates Extreme Poverty

“High growth and large decline in inequality have combined to eliminate poverty in India for the PPP$ 1.9 poverty line. (Here we use the PPP$ 1.9 line [2011 prices] rather than the PPP$ 2.15 line at 2017 prices because the former closely corresponds to the official India Tendulkar poverty line.)

The Headcount Poverty Ratio (HCR) for the 2011 PPP$ 1.9 poverty line has declined from 12.2 per cent in 2011-12 to 2 per cent in 2022-23, equivalent to 0.93 percentage points (ppt) per year. Rural poverty stood at 2.5% while urban poverty was down to 1%.”

From Brookings.

Blog Post | Economic Growth

India’s Good Fortune: How the Country Is Tackling Energy Poverty, Increasing Growth, and Building the Future

Energy poverty and many other problems will soon be things of the past for India.

Summary: Over the past two decades, India has made remarkable strides in multidimensional poverty reduction. This comprehensive measure, which considers factors like education and infrastructure alongside income, paints a more accurate picture of poverty. Additionally, India has achieved significant progress in areas such as child mortality, sanitation, access to clean water, and electricity, signaling a positive trajectory for improved living standards and environmental outcomes in the country.


Just two decades ago, life in India looked bleak. Between 2005 and 2006, 55.1 percent of the Indian population—the equivalent of 645 million people—suffered from multidimensional poverty, and in 2004, 39.9 percent of Indians lived in extreme poverty.

Multidimensional poverty measures the percentage of households in a country deprived along three factors: monetary poverty, access to education, and basic infrastructure services. That captures a more thorough picture of poverty.

Multidimensional poverty dropped from over half of the population to 27.7 percent (370 million people) in 2014. In 2019–21, the proportion of people suffering from multidimensional poverty declined further to only 16.4 percent of the total population, or 230 million people. Although the pandemic slowed some aspects of poverty alleviation, the percentage of people in multidimensional poverty has continued to drop significantly year on year in India.

It’s also worth considering extreme poverty, which is defined as living below the international poverty line of $2.15 per day. Using this measure, the number of people living in extreme poverty in India declined from more than half of the population (63.1 percent) in 1977 to only 10 percent in 2019.

Moreover, child mortality declined from 43.4 percent in 1918 to only 3.1 percent in 2021. The number of people without adequate sanitation has dropped from 50.4 percent to 11.3 percent, and the proportion of people without adequate drinking water has fallen from 16.4 percent to just 2.7 percent. As well, more people in the country have access to clean cooking fuels than ever before, from 22.3 percent of people in 2000 to 67.9 percent in 2020.

India has also been tackling environmental concerns. The population of the greater one-horned rhino, which has a “vulnerable” conservation status, has increased from 40 in 1966 to over 4,000 in 2021. Air pollution is one of the world’s largest health and environmental problems, and in low-income countries, it is often the leading risk factor for death. Although there is still work to do, the death rate in India from air pollution decreased from 1990 to 2019 by 42 percent, from 280.5 deaths per 100,000 people to 164.1 deaths per 100,000.

In 2017, Indian Prime Minister Modi launched a plan to electrify more households, targeting over 40 million families in rural and urban India, or roughly a quarter of the population. The plan was called “Saubhagya”—literally, “good fortune” or “auspiciousness.” Although the country did not meet its target as quickly as planned, access to electricity in India has been increasing.

The term “access to electricity” does not have a universally accepted definition, but general usage takes into account the availability of electricity, safe cooking facilities, and a minimum level of consumption. According to the International Energy Agency, “access to electricity” involves more than just connecting a household to the grid; it also requires households to consume a certain minimum amount of electricity, which varies based on whether it is a rural or urban household.

According to the UNDP report, 97.9 percent of Indians had access to electricity between 2019 and 2021. Only 50.9 percent of Indians had access to electricity in 1993. The country has achieved immense progress. In 2018, Prime Minister Modi stated that every village in India had access to electricity.

Climate change is likely to be costly to the Indian subcontinent. Heatwaves have already led to an increase in deaths in India, particularly since a large share of the population is employed in outdoor labor like farming and construction.

India aims to reach net-zero emissions by 2070 and for 50 percent of the power-generation capacity to come from clean energy sources by 2030. The energy transition for India will take time, and the country will need fossil fuels to meet its energy needs for many years yet, but the future is looking promising.

Last year, for example, India brought an indigenous reactor design online at the Kakrapar Atomic Power Project Unit 4. India has 22 working nuclear reactors, which produce about 3 percent of the country’s electricity. India has ambitious plans to build more reactors—aiming to commission a new reactor every year.

The fact that a large country can more than halve multidimensional poverty in only 15 years is a cause for celebration, but India’s foresight of meeting future increasing energy needs is also something to be applauded. Energy poverty will soon be a thing of the past for India. Increased electricity will lead to further poverty alleviation, economic growth, and improved living standards, which in turn will lead to better air quality and environmental outcomes. These are good fortunes that we can all celebrate.