Press Release: New PPI Report finds 113,000 jobs in the growing Australian App Economy

WASHINGTON—The Progressive Policy Institute (PPI) today released a new report, “The Rise of the Australian App Economy,” which estimates 113,000 workers are employed in the Australian App Economy, a growth of at least 11 percent since 2014. It also calculates app Intensity — the number of App Economy jobs in a country as a percentage of total jobs in that country. Australia has an App Intensity of 0.9 percent. By comparison, Europe has an App Intensity of 0.8 percent, while the U.S. App Intensity is 1.1 percent.

The report includes estimates of App Economy jobs by state and as a percentage of all jobs on a state-by-state basis. More than 56,000 workers are employed in the App Economy in New South Wales, 29,000 in Victoria, and 14,500 in Queensland.

“The Australian App Economy is remarkably diverse, both in industry and geography,” writes PPI Chief Economic Strategist Michael Mandel, the author of the report. “A surprisingly broad range of enterprises are searching for workers across the country who have the ability to design, develop, maintain or support mobile applications.”

“Remember that any app is exportable, in the sense that it can be downloaded from an app store by anybody around the world, no matter how far the distance. That means the Australian App Economy can become a basis for continued growth. In addition, apps can improve the efficiency and attractiveness of the Australian economy.”

The report also provides an overall breakdown of App Economy employment by operating system, comparing the number of jobs in the iOS ecosystem with the number of jobs in the Android ecosystem. Finally, it compares the estimate here with a 2014 estimate of Australian App Economy jobs done using a somewhat different methodology.

As the App Economy grows in significance globally, it becomes essential to have a consistent set of App Economy job estimates so that policymakers can compare their country’s performance with that of other countries. The ultimate objective for PPI is to be able to track the growth of the App Economy globally, and to see which countries are benefiting the most. Ideally, PPI should be able to link App Economy growth to policy measures implemented by governments.

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The Rise of the Australian App Economy

When Apple introduced the iPhone in 2007, that initiated a profound and transformative new economic innovation. While central bankers and national leaders struggled with a deep financial crisis and stagnation, the fervent demand for iPhones and the wave of smartphones that followed was a rare force for growth.

Today, there are more than 4 billion mobile broadband subscriptions—an unprecedented rate of adoption for a new technology. Use of mobile data is rising at 55 percent per year, a stunning number that shows its revolutionary impact.

More than just hardware, the smartphone also inaugurated a new era for software developers around the world. Apple’s opening of the App Store in 2008, followed by Android Market (now Google Play) and other app stores, created a way for iOS and Android developers to write mobile applications that could run on smartphones anywhere.



			

Amazon, Whole Foods, and the Simple Arithmetic of Household Time

I’ve been writing a lot about ecommerce lately. I would be remiss if I did not address the Amazon offer to buy Whole Foods. I have two thoughts.

First, I’m not an antitrust economist. But it strikes me that under ordinary antitrust logic, Amazon’s purchase of Whole Foods would ring no alarm bells. Despite the name recognition of Whole Foods, the company’s $16 billion in sales last year pales next to Kroger’s $115 billion in sales or Albertson’s roughly $60 billion in sales. If anything, the purchase increases competition in the grocery business.

Second, what is Amazon likely to do with Whole Foods? I’m not privy to Amazon’s strategic thinking, of course. But the main point of ecommerce, when done right, is to reduce the time consumers spend shopping—the drive to the store, the search for parking, the endless trudging through the aisles. In turn, ecommerce companies have been shifting those unpaid hours of household labor into the market sector, creating decent-paid jobs in fulfillment centers and electronic shopping operations.

By my calculations, the shift to ecommerce over the past nine years has saved American households roughly 64 million hours per week in reduced shopping time, or the equivalent of 1.6 million full-time jobs. (yes, that million is right…calculations below).

Some of those hours of unpaid household labor were shifted to the market sector. Over the same period, the number of ecommerce jobs rose by almost 400,000, as fulfillment center workers and drivers took over the tasks that consumers used to do. Brick-and-mortar jobs dropped by 76,000, so that was a net plus for job creation.

If these trends continue, Amazon and other ecommerce companies will try to make shopping for meals easier and less time-consuming for American households, and generate more paid jobs in the process.

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Calculations

According to the American Time Use Survey from the Bureau of Labor Statistics, in 2015-2016 Americans spent .645 hours per day on average shopping for consumer goods or traveling to shopping, or 4.5 hours per week. Since there are 260 million Americans aged 15 and over, that means Americans spend approximately 1.2 billion hours a week shopping for consumer goods or traveling to shopping (that’s the equivalent of 30 million full-time jobs).

By comparison, in 2006-2007 Americans spent 4.75 hours per week shopping for consumer goods or traveling to shopping, or 0.25 more. That extra quarter hour corresponds to 64 million extra hours per week (260 million x .25). So because of the increase in ecommerce over the past 9 years, American households save 64 million hours per week, or the equivalent of 1.6 million full-time jobs.

Note: I get an almost identical result based on the magnitude of the decline in  brick-and-mortar’s share of retail sales.

 

Moving Beyond the Balance-Sheet Economy

In 2016 the United States exported to Europe US$598bn worth of goods and services, and imported $698bn of goods and services. Minus some statistical discrepancies, European countries recorded the inverse flow of imports and exports.

For the past century, economists and policymakers have relied on this ‘balancesheet approach to economics to guide their decisions. One country’s exports are reported as another country’s imports. One company’s production shows up elsewhere in the economy as consumption, or investment, or inventories. The output of the world is the sum of the outputs of the individual countries.

The balance-sheet approach to the economy is well-suited to the physical world. Go back 100 years, and the economies of industrialized countries were composed of physical objects that we could easily count: millions of cases of canned American corn; millions of hectolitres of French wine; millions of metric tonnes of German coal; thousands of long tonnes of British steel ingots. These were tangible and real economic outputs.



			

EU Competition Policy

PPI believes that the tech/telecom space is intensely competitive, not just in the United States but around the world.  We also believe that companies which are innovative and invest in new technologies and capabilities are providing great benefits to consumers and workers, including a fast-growing number of good jobs.

From that perspective, we are strongly against the EU’s punitive $2.7 billion antitrust fine against Google.  We believe the EU’s action will only feed into a global regulatory attack against innovation, and as such, will hurt consumers and workers.

Mandel featured on Financial Times, “Michael Mandel on the case for productivity optimism”

Michael Mandel, chief economic strategist at the Progressive Policy Institute, joined Alphachat to talk about his report, “The Coming Productivity Boom”, co-authored by Bret Swanson of Entropy Economics.

Mandel argues that the decades-long productivity stagnation will end once companies in the “physical” industries — transportation, construction, manufacturing, healthcare, wholesale and retail trade — start investing in information technology the way that companies in the digital industries have.

From the summary of their paper:

The digital industries, which account for around 25% of U.S. private-sector employment and 30% of private-sector GDP, make 70% of all private-sector investments in information technology. The physical industries, which are 75% of private-sector employment and 70% of private-sector GDP, make just 30% of the investments in information technology.…

Information technologies make existing processes more efficient. More importantly, however, creative deployment of IT empowers entirely new business models and processes, new products, services, and platforms. It promotes more competitive differentiation. The digital industries have embraced and benefited from scalable platforms, such as the Web and the smartphone, which sparked additional entrepreneurial explosions of variety and experimentation. The physical industries, by and large, have not. They have deployed comparatively little IT, and where they have done so, it has been focused on efficiency, not innovation and new scalable platforms. That’s about to change.

Mandel tells me why he believes that productivity pessimists such as Robert Gordon are wrong to extrapolate from current trends, why he isn’t worried by the increasing market concentration in the leading companies in many economic sectors, and how public policy can play a role in facilitating this forthcoming productivity boom. And in a speed round, we also discuss the specific ways in which physical industries can be transformed by more IT investment, plus which technologies hold the most promise.

For the full interview, listen here at Financial Times

Do today’s tech/telecom companies employ too few workers?

On June 7,  Axios  journalist Chris Matthews wrote a piece “Big Companies, Fewer Workers”  that said:

The five most valuable companies in the U.S. are all technology firms that employ far fewer workers than their industrial predecessors.

He echoes a common complaint. But is it really true?

I decided to  compare employment at today’s most valuable  tech/telecom companies with employment at the most valuable industrial giants of the past.  My point of reference is 1979, the all-time peak year for manufacturing employment in the United States. At the end of 1979, these were the top 10 industrial companies (ordered by market cap), and their total employment.


Table 1: Top 10 Most Valuable US Industrial Companies, 1979*
  Jobs(thousands)
IBM 337
General Motors 853
General Electric 405
Eastman Kodak 126
DuPont 134
3M 88
Dow Chemical 56
Merck 31
Xerox 116
Johnson & Johnson 72
Total 2218
Data: Siblis Research , corporate annual reports, Progressive Policy Institute

So as of 1979, the ten most valuable U.S. industrial companies had a total employment of 2.2 million.*

By comparison, I took today’s most valuable tech/telecom companies, ordered by market cap as of June 10. Here’s the list, plus their total employment.


Table 2: Top 10 Most Valuable US Tech/Telecom Companies, 6/10/2017
jobs(thousands)
Apple 116
Alphabet 72
Microsoft 114
Amazon.com 341
Facebook 17
AT&T 268
Verizon 161
Comcast 159
Oracle 136
Intel 106
Total 1490
Data: Annual reports, PPI

So the ten most valuable US tech/telecom companies today employ 1.5 million workers, roughly two-thirds as many as the 2.2 million employed by the ten most valuable US industrial companies in 1979.

However, a look at the two lists shows something interesting:  Take General Motors out of the 1979 list, and the size distribution in 1979 doesn’t look that much different than the size distribution in 2017.   Industrial leaders such as Kodak, Dupont and Xerox employed between 100K and 150K workers in 1979, roughly the same workforce as Apple, Microsoft, Verizon, Comcast, Oracle, and Intel today. GE and IBM in 1979 employed roughly the same number of workers as Amazon today. And Merck in 1979 wasn’t that much larger than Facebook today.

Conclusion: In terms of employment, the major difference between the industrial giants of 1979 and the tech/telecom giants of 2017 is one superstar company, General Motors, whose 1979 workforce dwarfed any other company on either the 1979 or the 2017 list.

 

To be continued…

 

*My definition of ‘industrial’ includes non-energy manufacturing companies. The 1979 list should include Procter and Gamble, but I could not locate their employment data in their annual report.  There’s no reason to think that substituting P&G for J&J would make a significant difference in the list. Ford Motor’s stock price underwent a steep plunge in 1979 that took it out of the top 10 industrial companies by market cap.

 

 

 

 

 

Berg for Washington Monthly, “Trump’s Betrayal of the Hungry Working Class”

With Trump’s proposal to gut federal food assistance by $192 billion — much of which would come out of the shopping carts of the working class — the president is once again proving his willingness to shaft those who supported him most.

Contrary to the racially-tinged stereotype that Americans who rely upon the Supplemental Nutrition Assistance (SNAP) program — formerly known as food stamps — are primarily “inner city,” liberal people of color, the reality is that many SNAP recipients are white, rural and suburban Americans who voted for Trump; the president won eight of the ten states with the highest percentage of SNAP recipients.

Not surprisingly, the parts of the nation with the highest rates of SNAP usage tend to be those with the highest levels of poverty, hunger, and food insecurity. In 2015, 42 million Americans lived in households classified by the federal government as “food insecure,” meaning they could not always afford the food they needed. Of those, more lived in rural areas and suburbs areas than in cities.

Continue reading at Washington Monthly.

Connecticut’s Embarrassing Anti-Innovation Law

Innovation is the foundation of growth. As innovation spreads to the physical industries, the result is higher wages, lower costs, and a more dynamic economy, as we showed in our recent report, The Coming Productivity Boom.

But innovation in physical industries  has proceeded slower than we might have wanted, In part, that’s because promising technologies are being hindered at the state and local  level. Consider the humble eye refraction. Some companies are rolling out technologies that enable ordinary people to do eye refractions remotely, using computers or smartphones. Such a technology has the potential to greatly reduce the cost of updating and renewing contact lens prescriptions, while enabling people to check their eyes more often.

Unfortunately, in Connecticut, the state legislature is now considering a bill that would undercut the use of remote eye refractions. The bill says, in part:

No provider shall issue an initial prescription to or renew an initial prescription for a patient without having performed an in-person evaluation and an eye examination of the patient.

In other words, everyone has to make an expensive and time-consuming in-person trip to an eye doctor to get a prescription renewal for contact lens, even if the remote refraction says no change. This requirement could be especially costly in Connecticut, where optometrists make $192,870 per year on average, the highest in the country, according to the Bureau of Labor Statistics.* Indeed, Connecticut is the only state where optometrists make more than family and general practitioners, based on BLS data.

Remote refraction can and should never replace in-person visits to optometrists and ophthalmologists. But in a world where health care costs are increasingly squeezed, it seems silly and downright embarrassing for a forward-looking state like Connecticut to inhibit a technology that could make people better off at a lower cost.

*These figures are based on the May 2016 Occupational Employment Statistics from the BLS. See this page for a list of top-paying states for optometrists. This data does not cover self-employed workers.

Weinstein for The Hill, “How CEOs could help pay for tax reform”

When Congress passed the Dodd-Frank Act, it included a requirement that U.S. companies annually report the ratio between their CEO and median worker pay. This modest provision takes effect this year, but it’s unlikely to reverse America’s widening pay gap.​

In fact, if President Trump has his way on tax reform, the earnings gap will get much worse courtesy of the federal government.

That’s not to say tax reform isn’t needed; in fact, it’s long overdue. But tax reform needs to put working families first, not overpaid CEOs and top executives. Furthermore, it shouldn’t add to the national debt, which means that lower corporate rates must be paid for by eliminating some of the trillion dollars in tax breaks handed out each year.

One way to ensure that CEOs and their firms don’t gouge the American taxpayer under the guise of tax reform – and offset the cost of lowering the corporate tax rate – would be for Congress to take a simple, straightforward step: eliminate the tax break for excessively high CEO pay.

Continue Reading at The Hill. 

Open Internet: Time for Congress to Act

The FCC, under Chairman Ajit Pai,  voted today to start the process of eliminating Title II rules on ISPs. We applaud his move. As we have said before, the Internet was thriving under the light-touch regulatory regime that preceded Title II. Indeed, government data shows that the telecom industry was one of the top contributors to US productivity growth from 2000 to 2014, before Title II was put in place. *

Our belief is that the economy could be entering into a renewed period of productivity growth, propelled by the application of digital technology to the physical industries (see The Coming Productivity Boom). That transition would have been much more difficult under the antiquated regulatory structure that comes with Title II.

But as we have also said before, smart regulations are essential for a well-functioning economy. There’s no doubt in our mind that open internet rules are needed to govern the Internet. We think now is the right time for Congress to codify the open internet principles into law–that’s the best way to get a consistent regulatory structure that will produce faster growth for us all.

 

*Contribution to multifactor productivity growth, as calculated from the BEA-BLS Integrated Production Accounts.

 

 

 

Mandel for WSJ, “Robots Will Save the Economy”

The problem today is too little technology. Physical industries haven’t kept up.

Some anxious forecasters project that robotics, automation and artificial intelligence will soon devastate the job market. Yet others predict a productivity fizzle. The Congressional Budget Office, for instance, expects labor productivity to grow at the snail’s pace of 1.3% a year over the next decade, well below the historical average.

There’s reason to reject both of these dystopian scenarios. Innovation isn’t a zero-sum game. The problem for most workers isn’t too much technology but too little. What America needs is more computers, mobile broadband, cloud services, software tools, sensor networks, 3-D printing, augmented reality, artificial intelligence and, yes, robots.

For the sake of explanation, let’s separate the economy into two categories. In digital industries—technology, communications, media, software, finance and professional services—productivity grew 2.7% annually over the past 15 years, according to the findings of our report, “The Coming Productivity Boom,” released in March. The slowdown is concentrated in physical industries—health care, transportation, education, manufacturing, retail—where productivity grew a mere 0.7% annually over the same period.

Digital industries have also experienced stronger job growth. Since the peak of the last business cycle in December 2007, hours worked in the digital category rose 9.6%, compared with 5.6% on the physical side. If health care is excluded, hours worked in physical jobs rose only 3%.

What is holding the physical industries back? It is no coincidence that they are heavily regulated, making them expensive to operate in and resistant to experimentation. The digital economy, on the other hand, has enjoyed a relatively free hand to invest and innovate, delivering spectacular and inexpensive products and services all over the world.

Continue reading at The Wall Street Journal.

Update on ecommerce and brick-and-mortar retail jobs

This post updates our March 2017 paper on ecommerce jobs, based on the latest data from the Bureau of Labor Statistics  (we also call this sector “advanced distribution”) . Here’s what we find:

  1. Since the last business cycle peak, December 2007, the number of ecommerce jobs is up by 397,000. These gains are being driven mainly by the growth of fulfillment centers in states such as Kentucky, Tennessee, Indiana, and Pennsylvania.
  2. Since December 2007, the number of brick-and-mortar retail jobs, as reported by the BLS,  is up 186,000. However, that’s a deceptive gain, because hours worked has fallen. In fact, the number of full-time equivalent jobs in brick-and-mortar retail has fallen by 76,000 since December 2007.
  3. That means the gains in ecommerce jobs far exceeds the loss in full-time equivalent  jobs in brick-and-mortar retail.
  4. At an annual rate, wage and salary payments to ecommerce workers are up by $19 billion since December 2007, measured in 2016 dollars. Wage and salary payments to brick-and-mortar retail workers are up almost $4 billion, in 2016 dollars, over the same stretch.
  5. In an upcoming piece, we do a detailed analysis of the wage difference on a local level between ecommerce (advanced distribution) and retail. Our conclusions–that ecommerce pays significantly more than bricks-and-mortar retail–remains the same.

 

Will Illinois Privacy Laws Hurt App Economy Jobs?

One of the bright spots for the Illinois labor market in recent years has been the App Economy. By the estimate in our just-released report, Illinois had 72,000 App Economy jobs as of December 2016, ranked number 6 in the country, just behind Massachusetts.  These jobs have all been created since 2007, when Apple introduced the first iPhone. To put this in perspective, total private sector employment in Illinois has risen by only 54,000 jobs since 2007, suggesting that the App Economy may be at least partly responsible for the net gain in jobs.

As I have written in a recent op-ed, we may have finally reached the “tipping point” in the ability of the Internet to generate jobs. Not just App Economy jobs, but ecommerce and fulfillment center jobs that help mid-skilled workers. Indeed, we see that

…. advanced distribution–the ability to ensure an order-delivery lag of one day or less–represents a genuinely new advance that has the potential to generate spin-offs of its own.  For example, custom manufacturing  may become a viable business model if a customer can order a made-to-order shirt or chair and get it in one day.  That would require the custom manufacturers to be located near the fulfillment centers, giving them a durable competitive advantage that overseas rivals would not be able to match.

In that way advanced distribution could become an essential complement to advanced manufacturing,  potentially exacting a significant time penalty for offshoring.   Rather building distribution centers around factories, we’ll start building advanced manufacturing or custom manufacturing hubs around fulfillment centers.

However, these potential gains in advanced distribution and advanced manufacturing could be hindered by state-level digital privacy bills that Illinois and other states are considering. These pieces of legislation could fragment the Internet, and would make online browsing and transactions much more complicated.  Jobs would become harder to create, not easier.

Privacy is important for all of us.  We believe in a consistent, national framework for online privacy, administered at the federal level. The logical agency is the Federal Trade Commission (FTC), which has an excellent record of reacting to privacy concerns. But state-level laws are not the way to to go.

 

 

 

How Ecommerce Creates Jobs and Reduces Income Inequality

The expansion of ecommerce is a significant plus for the income and living standards of high-school educated workers, not a minus. That’s welcome news, as demonstrated in our latest paper, “How Ecommerce Creates Jobs and Reduces Income Inequality:”

We estimate that ecommerce jobs in fulfillment centers and ecommerce companies rose by 400,000 from December 2007 to June 2017, substantially exceeding the 140,000 decline of brickand- mortar retail jobs. We explain this job growth by showing that households are saving 64 million hours of week of shopping time because of ecommerce, and some of these unpaid household hours are being shifted into market work. One consequence is that productivity growth is being underestimated.

Based on a county-by-county analysis, we estimate that fulfillment center jobs pay 31% more than brick-and-mortar retail jobs in the same area. This suggests the shift to ecommerce jobs is reducing income inequality by raising the wages paid to high school graduates.

This research was cited in today ‘s Greg Ip’s Wall Street Journal piece, “Workers: Fear not the Robot Apocalypse”.  Read the paper here.

 

 

 

 

U.S. App Economy Jobs Update

In this paper, PPI estimates that App Economy employment in the United States totaled 1.729 million as of December 2016.  Based on our previous work, the number of App Economy jobs in the United States has nearly quadrupled over the past five years, growing at a 30 percent annual rate. Looking at the top mobile operating systems, roughly 1.53 million jobs belong to the iOS ecosystem, while 1.35 million jobs belong to the Android ecosystem (many jobs belong to both ecosystems).  We also list the top 25 states by their App Economy employment.

This work is part of a larger PPI research project examining App Economy employment in different countries and regions, including  Europe, Latin America, and Asia. These are not numbers that can be found in government statistics, because the App Economy doesn’t fit neatly into the old economic paradigms. For example, statistical agencies that count exports have no category in trade statistics for the revenues generated by the export of domestically-created apps to other countries, even though these revenues may be very significant. Indeed, statisticians may not be counting these exports at all.

Moreover, the explosive growth of App Economy employment bears directly on the broad ongoing debate about the link between technological innovation and jobs.  There’s a pervasive worry that new technologies destroy jobs without creating very many new ones.

But our work has consistently demonstrated that innovation creates better and more jobs–not just on the coasts, but across the whole country.  In addition to the large number of App Economy jobs, our recent research shows rapid growth in ecommerce (“advanced distribution”)  jobs, which are better paid than retail jobs, and located in states such as Indiana, Kentucky and Tennessee. More broadly, we have shown that job growth in the digital sector of the economy has been faster than job growth in the physical sector, despite faster productivity growth in the digital industries.

Finally, we expect that the long-term growth prospects of the App Economy are still strong. Yes, the great surge of new game, media, and ecommerce apps is probably close to its peak. However, the rise of the Internet of Things means that more and more objects and physical processes will be connected to the Internet. Increasingly, individuals will be using mobile apps as their interface to their home, travel, entertainment, car, schools, health providers, and state and local governments. Employees in many enterprises are using mobile apps to monitor or control work processes. These apps will be highly functional and sophisticated, serving an essential role in interacting with our environment–and they will require ever more workers to build and maintain.