Poverty and Energy

By Andy May – Re-Blogged From http://www.WattsUpWithThat.com

Poverty and access to energy are closely related. Although it probably isn’t possible to show that access to energy is the key reason so many have been lifted out of poverty in recent decades, the data and logic suggests that this so. In the United States, the average person uses about 300 million BTUs of energy per year according to the EIA. This is equivalent to the manual labor of 69 healthy people working hard for 6 hours per day. Worldwide, the average person uses 73 million BTUs, the equivalent of 16 hardworking people.

Prior to the industrial age, which began with the first practical coal- and wood-fired steam engines between 1712 and 1776, slavery, bonded servants and serfs were common, this group made up over 90% of the world’s population in 1800. For a few people to live well they needed lots of servants and domestic animals to do the manual labor for them. Now, in the age of electricity, petroleum and nuclear powerplants, most manual labor can be done by machines. No longer do a few wealthy people live from the labor of others, everyone who has access to energy can live well. Before the industrial age, nearly everyone was extremely poor as seen in Figure 1, today fewer than 10% are extremely poor.

Figure 1. The percent of the population in extreme poverty (income of less than $1.90 per person per day or about $2,774 per year) in 2011 PPP (purchase power parity) dollars is shown in orange with the scale on the right. Total fossil fuel consumed, in Terawatt-hours (one terawatt is 1×1012 Watts) is shown in blue with a scale on the left. The data on extreme poverty and fossil fuel consumption was downloaded from ourworldindata.org by Hannah Ritchie and Max Roser. The early data is from (Bourguignon and Morrisson 2002) and the later data from the World Bank.

While over 90% of people lived in extreme poverty for most of 19th century, extreme poverty has since been completely eradicated in the western world and is disappearing at a rapid and accelerating rate in the third world. Figure 2 shows the number of people living in extreme poverty for several selected areas and the whole world. The United States, the European Union and Canada are not plotted because no one in those countries is living in extreme poverty.

Figure 2. The number of people in extreme poverty in selected areas and for the whole world. Downloaded from ourworldindata.org, data collected by the World Bank.

 

The only significant increase in the number of extremely poor in Figure 2 is in sub-Saharan Africa and this increase has flatten considerably since 2010. Most of the remaining very poor live in China, India and Africa. The very poor typically have no indoor, improved, running water or sanitary facilities, no electricity, what shelter they do have is in poor shape, they have no access to transportation and often no schools. Their energy is from burning wood, coal, or dung, indoors and without proper ventilation. This is the primary reason over four million people die of indoor air pollution each year according to the World Health
Organization.

In this post, we use the World Bank Organization’s definition of extremely poor, which is an income of less than 2011 PPP$1.90 per day per person. PPP$ are purchase-parity US dollars, they are corrected for the differences in the price of essential goods from country to country. This amount seems different than the classical definition of $1/day previously used, but since that was in 1996 dollars and the new definition is in 2011 dollars they are nearly the same. In 2011 dollars, any family of four is extremely poor if their total income (technically their total consumption, which includes charity) is less than $2,774 per year.
Homi Kharas in a Brookings Institution 2017 white paper entitled “The unprecedented expansion of the global middle class” has estimated that 140 million people are joining the world middle class annually and the number appears to be growing each year. At the end of 2016, there were 3.2 billion people in the middle class, an astonishing number, this is over 42% of the Earth’s population. Kharas defines the world middle class as a family of four earning more than $16,060 per year and less than $160,600 per year in 2011 PPP$.

The World Bank calls the group between extremely poor and the middle class (those who live on $1.90/day to $10 per day) “low income.” This group is growing rapidly also. By way of contrast, the poverty definition in the United States for a family of four is an income below $24,339 per year, not including the value of free food, free medical care and housing assistance. Taxes in the United States rise rapidly with income, yet the higher taxes are not taken into account when comparing the income of the U.S. defined “poor” to the income of higher earners, this radically distorts the measurement of inequality (see this report by John Early for more details). By world standards, a family with this much income is solidly upper-middle class. But, “poor” people in the United States have cell phones, cars, apartments, running water, sanitation, access to
schools, and disposable income nearly equal to the U.S. low income and middle-class groups. These are items only the middle class and more affluent have in less developed countries.

The correlation between the reduction of extreme poverty and total fossil fuel consumption is very enticing in Figure 1. Figure 3 shows the relationship using data from 1820 through 2015. The data was downloaded from ourworldindata.org. The early energy data shown in Figure 3 is from Vaclav Smil’s book Energy Transitions: Global and National Perspectives (2nd edition) (Smil 2017) and the later data is from the BP Statistical Review of World Energy here. The poverty data is from (Bourguignon and Morrisson 2002) and the World Bank.

 

Figure 3. Total fossil fuel use is on the X axis and the percent extreme poverty of total world population is on the Y axis. The relationship is strong with an R2 of 0.99. Other sources of energy, such as hydroelectric or nuclear were ignored since they were invented late in this period, which covers 1820 to 2015. The relationship suggested by the regression is that extreme poverty is reduced by 1% for every 1,628 TWh increase in global fossil fuel use. The regression is significant at an F of regression of 3.7×10-21, that is much higher than 99.999. There are 23 values plotted and used in the regression. The data on extreme poverty and fossil fuel consumption were downloaded from ourworldindata.org by Hannah Ritchie and Max Roser.

Figure 3 does not prove that the level of extreme poverty was reduced due to the increased use of fossil fuels, but it shows they are strongly related and that the use of fossil fuels might have been the main reason for the reduction in poverty. Energy use and poverty are unevenly distributed in the world today. Figure 4 shows the global distribution of total energy use.

Figure 4. Energy use in the world, data and plot from ourworldindata.org by Hannah Ritchie and Max Roser.

 

As we would expect, Figure 4 shows that the wealthier countries use much more energy than the poorer countries. When total energy used is plotted against GDP in 2011 constant international dollars, we get the plot in Figure 5. This is a plot of data from 211 countries and regions. The data was downloaded from
ourworldindata.org and gathered by the United Nations, IEA and the World Bank.

Figure 5. Plot and regression of GDP per capita in constant international 2011 dollars versus energy use in kg of oil equivalent. There are 212 countries and regions plotted, the points are the average for the period 1990 to 2014. Data downloaded from ourworldindata.org by Hannah Ritchie and Max Roser. Original data sources are the IEA and the World Bank.

 

Figure 5 plots primary energy used per capita versus GDP per capita. The points are the average annual totals for both values from 1990 to 2014. The correlation isn’t great, but acceptable, the F of regression is significant at the 1.4×10-67 level. This suggests the two values plotted are strongly related and that for
every kg of oil equivalent consumed per person we can expect GDP to grow an average of 53 cents per person over the period from 1990 to 2014 in 2011 PPP$. There are 140 kg of oil in a barrel, which costs about $68 today (roughly $63.50 in 2011$) or 45 cents/kg. The same values can be viewed in the time
dimension as shown in Figure 6.

Figure 6. Over the years with data, energy use and GDP show the same trend in some detail. Original data sources are the IEA and the World Bank.

 

The correlation seen in Figure 5 is also visible in the data plotted in Figure 6. In Figure 7 we compare worldwide energy used per capita to GDP per capita, but each observation is a year, rather than a country or region like in Figure 5. Remember that in Figure 5 we simply averaged the data from 1990 to 2014, in
Figure 7 the years are plotted separately.

Figure 7. Worldwide energy used in kg of oil equivalent versus GDP in constant international 2011 dollars. Each observation is one year (1990-2014). Original data sources are the IEA and the World Bank.

The R2 has improved over Figure 5 with this yearly view. Even though we have 25 observations in this regression versus 212 in Figure 5, the F statistic of the regression is significant at 1.2×10-12. As people move from poverty to the lower and middle classes they use more energy, which is why the energy growth is
concentrated in Asia and the Pacific as seen in Figure 8.

Figure 8. Energy consumption in the world by region. From ourworldindata.org by Hannah Ritchie and Max Roser. Original data sources are the IEA and the World Bank.

In Figure 9 we see the fossil fuel data for selected countries and regions. Clearly, while fossil fuel use is declining in the EU, OECD and in the U.S., it is increasing much more rapidly in Africa, China and India. This is partly because many more people live in Africa, India and China; but also because of the rapid decline in extreme poverty in the third world. As people come out of poverty they use more energy, they use it for essential things like clean water, sanitation and healthy food; but also, for luxuries like cars, air conditioning,
heating and cell phones.

Figure 9. Fossil fuel use for selected countries and regions. Data downloaded from ourworldindata.org, collected by the IEA.

Per dollar of GDP, low-income people use more energy. But, when their income rises, they use energy
more efficiently, this can be seen in Figure 10. The figure shows the GDP per energy used ratio for low-income and high-income countries. This may be because high-income countries have their energy distribution infrastructure in place and low-income countries are still building theirs. Until the
infrastructure is in place energy delivery is expensive and less reliable.

Figure 10. Energy efficiency expressed as GDP/energy used for both high-income and low-income countries. Data downloaded from ourworldindata.org, collected by the IEA.

China is well along in their energy infrastructure build-out and as can be seen in Figure 9 the rapid growth in their fossil fuel use has leveled off after a very rapid increase from 2002 to 2013. Coal is the most popular fuel for generating reliable electricity by far. Coal, regardless of what you may hear from the blathering news media, still produces 40% of the worlds electricity, see Figure 11.

Figure 11. Coal is the largest primary fuel for making electricity in the world today and for the foreseeable future.

While worldwide coal use dropped from 2013 to 2016, it increased in 2017. It is expected to remain the dominant primary energy source for electricity through 2030 by ExxonMobil and the IEA.

Figure 12 shows that during the build-out of the Chinese energy infrastructure coal use skyrocketed in the country.

Figure 12. Coal consumption in selected countries. Data downloaded from ourworldindata.org.

 

Africa, a continent with limited energy infrastructure, but over a billion mostly poor people, shows very little change from year-to-year. India’s coal use is beginning to pick up and looks like China 25 years ago. India has huge coal reserves, the fifth largest in the world and over a billion people, mostly very poor. The country is advancing economically very fast and since access to reliable electricity is vital to a robust economy, it
may follow the path of China. India’s commitment to reduce CO2 emissions and coal use in the Paris agreement is as a percent of GDP (energy efficiency) so if they follow the normal course of infrastructure development, like China did, they meet their commitment, but their CO2 emissions increase.

Electricity is somewhat wasteful because only 28% of the primary energy used to generate it is delivered in a useable form to the consumer (EIA 2012), but electricity is none-the-less essential for water and sanitation facilities, hospitals and communications. For these reasons and many more, access to electricity is vital for economic growth and reducing poverty as seen in Figures 13 and 14.

 

Figure 13. Plots of per capita GDP and percent of the population with access to electricity by year for the world. Data downloaded from ourworldindata.org.

 

Figure 14. The correlation between the percent of the population with access to electricity and per capita GDP for the period 1990 to 2014. Data downloaded from ourworldindata.org.

Like fossil fuel use and total energy use, use and access to electricity is very closely correlated with prosperity. Due to the importance of electricity for creating and delivering clean water, proper sanitation and
health care, it is also vital for a population’s health.

 

Conclusions and Discussion

The correlation between access to energy, especially electricity, and economic prosperity is very strong. This strong correlation suggests, but does not prove, that available, affordable energy is essential for reducing
poverty. It also suggests the opposite, that withholding energy from a population will lead to more poverty. Other factors can cause poverty, government corruption, runaway crime, and war are examples; but surely access to affordable energy is a critical component of economic prosperity.

In 1990 there were about 2 billion people living in extreme poverty, this has now been reduced to less than 700 million. Currently over 200,000 people move out of poverty and into the lower or middle class every day. Income inequality in the world is lower today than at any time in the history of humankind. Even in the United States, inequality has been lowered substantially; regardless of what is seen in the news media. Phil Gramm and Robert Ekelund have even speculated that it was the rising equality between working people and welfare recipients in the U.S. that led, in part, to the election of Donald Trump as President, from their June 24, 2018 op-ed in the Wall Street Journal:

 

“The new analysis [(Early 2018)] was published in April by the Cato Institute’s John F. Early, a former assistant commissioner of the Bureau of Labor Statistics, and it provides the most comprehensive accounting to date of how taxes and government payments affect income distribution in the U.S. His study includes the roughly $1 trillion of annual government spending not currently counted in the U.S. Census Bureau’s income-distribution tables. That includes Medicaid, food stamps, the earned-income tax credit, and 85 other federal payments and services, along with similar state and local income supplements. The study also subtracts federal, state and local taxes from individuals’ measured income, an adjustment not contained in the census data.

The most surprising finding is the astonishing degree of equality among the bottom 60% of American earners, generated in part by the explosion of social-welfare spending and the economic and wage stagnation during the Obama era. Hardworking middle-income and lower-middle-income families must have recognized that their efforts left them little better off than the growing number of recipients of government transfers. The perceived injustice of this equality helped drive the political shift among blue-collar workers, many of whom supported the pro-growth candidacy of Donald Trump in 2016 despite having voted for Mr. Obama in the two previous presidential elections.”

Due to the steep increase in the tax rate with rising income and the large size of government payments to the bottom quintile of the U.S. population, the study by John Early found that while the bottom quintile earned only 2.5% of all earned income, they have virtually the same share of spendable income as the second quintile. Middle income workers earned almost six times what the bottom quintile earned, but only had 20% more spendable income. They conclude this basic unfairness to the working class was noticed by the public and played a large role in electing the President.

Judge William Alsup, a United States District Judge in California, recently dismissed a lawsuit by several California communities against a number of oil and gas companies. The California communities were seeking damages against a potential future rise in sea level that they claim is due to carbon dioxide emissions from burning oil and gas. In that judge’s opinion (text here) he states the thesis of this post reasonably well:

“With respect to balancing the social utility against the gravity of the anticipated harm, it is true that carbon dioxide released from fossil fuels has caused (and will continue to cause) global warming. But against that negative, we must weigh this positive: our industrial revolution and the development of our modern world has literally been fueled by oil and coal. Without those fuels, virtually all of our monumental progress would have been impossible. All of us have benefited. Having reaped the benefit of that historic progress, would it really be fair to now ignore our own responsibility in the use of fossil fuels and place the blame for global warming on those who supplied what we demanded? Is it really fair, in light of those benefits, to say that the sale of fossil fuels was unreasonable?”

The judge makes the point that we cannot condemn fossil fuels, especially coal, or outlaw their use, without also considering the consequences of the actions. Restricting or eliminating fossil fuels, or even increasing their cost, will almost certainly slow the reduction of poverty in the world or even increase the level of poverty. Is this fair?

CONTINUE READING –>

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