Category: Essentials of Economics: Ch 05

Posted on

The AI revolution

Artificial intelligence is having a profound effect on economies and society. From production, to services, to healthcare, to pharmaceuticals; to education, to research, to data analysis; to software, to search engines; to planning, to communication, to legal services, to social media – to our everyday lives, AI is transforming the way humans interact. And that transformation is likely to accelerate. But what will be the effects on GDP, on consumption, on jobs, on the distribution of income, and human welfare in general? These are profound questions and ones that economists and other social scientists are pondering. Here we look at some of the issues and possible scenarios.

According to the Merrill/Bank of America article linked below, when asked about the potential for AI, ChatGPT replied:

AI holds immense potential to drive innovation, improve decision-making processes and tackle complex problems across various fields, positively impacting society.

But the magnitude and distribution of the effects on society and economic activity are hard to predict. Perhaps the easiest is the effect on GDP. AI can analyse and interpret data to meet economic goals. It can do this much more extensively and much quicker than using pre-AI software. This will enable higher productivity across a range of manufacturing and service industries. According to the Merrill/Bank of America article, ‘global revenue associated with AI software, hardware, service and sales will likely grow at 19% per year’. With productivity languishing in many countries as they struggle to recover from the pandemic, high inflation and high debt, this massive boost to productivity will be welcome.

But whilst AI may lead to productivity growth, its magnitude is very hard to predict. Both the ‘low-productivity future’ and the ‘high-productivity future’ described in the IMF article linked below are plausible. Productivity growth from AI may be confined to a few sectors, with many workers displaced into jobs where they are less productive. Or, the growth in productivity may affect many sectors, with ‘AI applied to a substantial share of the tasks done by most workers’.

Growing inequality?

Even if AI does massively boost the growth in world GDP, the distribution is likely to be highly uneven, both between countries and within countries. This could widen the gap between rich and poor and create a range of social tensions.

In terms of countries, the main beneficiaries will be developed countries in North America, Europe and Asia and rapidly developing countries, largely in Asia, such as China and India. Poorer developing countries’ access to the fruits of AI will be more limited and they could lose competitive advantage in a number of labour-intensive industries.

Then there is growing inequality between the companies controlling AI systems and other economic actors. Just as companies such as Microsoft, Apple, Google and Meta grew rich as computing, the Internet and social media grew and developed, so these and other companies at the forefront of AI development and supply will grow rich, along with their senior executives. The question then is how much will other companies and individuals benefit. Partly, it will depend on how much production can be adapted and developed in light of the possibilities that AI presents. Partly, it will depend on competition within the AI software market. There is, and will continue to be, a rush to develop and patent software so as to deliver and maintain monopoly profits. It is likely that only a few companies will emerge dominant – a natural oligopoly.

Then there is the likely growth of inequality between individuals. The reason is that AI will have different effects in different parts of the labour market.

The labour market

In some industries, AI will enhance labour productivity. It will be a tool that will be used by workers to improve the service they offer or the items they produce. In other cases, it will replace labour. It will not simply be a tool used by labour, but will do the job itself. Workers will be displaced and structural unemployment is likely to rise. The quicker the displacement process, the more will such unemployment rise. People may be forced to take more menial jobs in the service sector. This, in turn, will drive down the wages in such jobs and employers may find it more convenient to use gig workers than employ workers on full- or part-time contracts with holidays and other rights and benefits.

But the development of AI may also lead to the creation of other high-productivity jobs. As the Goldman Sachs article linked below states:

Jobs displaced by automation have historically been offset by the creation of new jobs, and the emergence of new occupations following technological innovations accounts for the vast majority of long-run employment growth… For example, information-technology innovations introduced new occupations such as webpage designers, software developers and digital marketing professionals. There were also follow-on effects of that job creation, as the boost to aggregate income indirectly drove demand for service sector workers in industries like healthcare, education and food services.

Nevertheless, people could still lose their jobs before being re-employed elsewhere.

The possible rise in structural unemployment raises the question of retraining provision and its funding and whether workers would be required to undertake such retraining. It also raises the question of whether there should be a universal basic income so that the additional income from AI can be spread more widely. This income would be paid in addition to any wages that people earn. But a universal basic income would require finance. How could AI be taxed? What would be the effects on incentives and investment in the AI industry? The Guardian article, linked below, explores some of these issues.

The increased GDP from AI will lead to higher levels of consumption. The resulting increase in demand for labour will go some way to offsetting the effects of workers being displaced by AI. There may be new employment opportunities in the service sector in areas such as sport and recreation, where there is an emphasis on human interaction and where, therefore, humans have an advantage over AI.

Another issue raised is whether people need to work so many hours. Is there an argument for a four-day or even three-day week? We explored these issues in a recent blog in the context of low productivity growth. The arguments become more compelling when productivity growth is high.

Other issues

AI users are not all benign. As we are beginning to see, AI opens the possibility for sophisticated crime, including cyberattacks, fraud and extortion as the technology makes the acquisition and misuse of data, and the development of malware and phishing much easier.

Another set of issues arises in education. What knowledge should students be expected to acquire? Should the focus of education continue to shift towards analytical skills and understanding away from the simple acquisition of knowledge and techniques. This has been a development in recent years and could accelerate. Then there is the question of assessment. Generative AI creates a range of possibilities for plagiarism and other forms of cheating. How should modes of assessment change to reflect this problem? Should there be a greater shift towards exams or towards project work that encourages the use of AI?

Finally, there is the issue of the sort of society we want to achieve. Work is not just about producing goods and services for us as consumers – work is an important part of life. To the extent that AI can enhance working life and take away a lot of routine and boring tasks, then society gains. To the extent, however, that it replaces work that involved judgement and human interaction, then society might lose. More might be produced, but we might be less fulfilled.

Articles

Questions

  1. Which industries are most likely to benefit from the development of AI?
  2. Distinguish between labour-replacing and labour-augmenting technological progress in the context of AI.
  3. How could AI reduce the amount of labour per unit of output and yet result in an increase in employment?
  4. What people are most likely to (a) gain, (b) lose from the increasing use of AI?
  5. Is the distribution of income likely to become more equal or less equal with the development and adoption of AI? Explain.
  6. What policies could governments adopt to spread the gains from AI more equally?
Posted on

The future of shipping and trade

Shipping and supply chains generally have experienced major problems in 2021. The global pandemic disrupted the flow of trade, and the bounce-back in the summer of 2021 saw supply chains stretched as staff shortages and physical capacity limits hit the transport of freight. Ships were held up at ports waiting for unloading and onward transportation. The just-in-time methods of delivery and stock holding were put under considerable strain.

The problems were compounded by the blockage of the Suez canal in March 2021. As the blog, JIT or Illegit stated “When the large container ship, the Ever Given, en route from Malaysia to Felixtowe, was wedged in the Suez canal for six days in March this year, the blockage caused shipping to be backed up. By day six, 367 container ships were waiting to transit the canal. The disruption to supply cost some £730m.”

Another major event in 2021 was the Glasgow COP26 climate conference and the growing willingness of countries to commit to decarbonising their economies. But whereas electricity can be generated from renewable sources, and factories and land transport, such as cars, vans and trains, can run on electricity, it is not so easy to decarbonise shipping, especially for long journeys. They cannot plug in to the grid or draw down from overhead cables. They have to carry their own fuel sources with them.

So, have the pandemic and the Ever Given incident exposed weaknesses in the global supply chain and in shipping in particular? And, if so, in what ways is shipping likely to adapt? And will the pressure to decarbonise lead to a radical rethinking of shipping and long-distance trade?

These are some of the issues considered in the podcast linked below. In it, “Shipping strategist Mark Williams tells Helen Lewis how examining the challenge of decarbonising shipping reveals a future which looks radically different to today, in a world where population, oil extraction and economic growth have all peaked, and trade is transformed”.

Listen to the podcast and have a go at the questions below which are based directly on it.

Podcast

Articles

Questions

  1. Why should we care about the shipping industry?
  2. What lessons can be drawn from the Ever Given incident?
  3. What structural changes are needed to make shipping an industry fit for the long-term demands of the global economy?
  4. Distinguish between just-in-time supply chains and just-in-case supply chains.
  5. What are ‘reshoring’ and ‘nearshoring’? How have they been driven by a growth in trade barriers?
  6. What are the implications of reshoring and nearshoring for (a) globalisation and (b) the UK’s trading position post-Brexit?
  7. What is the contribution of shipping to global greenhouse gas emissions? What other pollutants are emitted from the burning of heavy fuel oil (or ‘bunker fuel’)?
  8. What levers exist to persuade shipping companies to decarbonise their vessels?
  9. What alternative ‘green’ fuels are available to power ships?
  10. What are the difficulties in switching to such fuels?
  11. What economies of scale are there in shipping?
  12. How do the ownership patterns in shipping benefit decision making and change in the industry?
  13. Are ammonia or nuclear power the answer to the decarbonisation of shipping? What are their advantages and disadvantages?
  14. Why are President Xi’s views on the future of shipping so important?
  15. How will the decarbonisation of economies affect the demand for shipping?
  16. What is likely to happen to Chinese demand for iron ore and coking coal over the coming years? What effect will it have on shipping?
  17. How and by how much is the European Emissions Trading System likely to contribute to the decarbonisation of shipping?
  18. What is the Sea Cargo Charter? What difference is it likely to make to the decarbonisation of shipping?
  19. In what ways do cargo ships optimise productivity?
  20. What impact is slowing population growth, or even no population growth, likely to have on shipping?
Posted on

JIT or illegit?

With the bounce-back from the pandemic, many countries have experienced supply-chain problems. For example, the shortage of lorry drivers in the UK and elsewhere (see the blog Why is there a driver shortage in the UK?) has led to empty shelves, fuel shortages and rising prices. The problem has been exacerbated by a lack of stock holding. Holding minimum stocks has been part of the modern system of ‘just-in-time’ (JIT) supply-chain management.

JIT involves involves highly integrated and sophisticated supply chains. Goods are delivered to factories, warehouses and shops as they are needed – just in time. Provided firms can be sure that they will get their deliveries on time, they can hold minimum stocks. This enables them to cut down on warehousing and its associated costs. The just-in-time approach to supply-chain management was developed in the 1950s in Japan and since the 1980s has been increasingly adopted around the world, helped more recently by sophisticated ordering and tracking software.

If supply chains become unreliable, however, JIT can lead to serious disruptions. A hold-up in one part of the chain will have a ripple effect along the whole chain because there is little or no slack in the system. When the large container ship, the Ever Given, en route from Malaysia to Felixtowe, was wedged in the Suez canal for six days in March this year, the blockage caused shipping to be backed up. By day six, 367 container ships were waiting to transit the canal. The disruption to supply cost some £730m.

JIT works well when sources of supply and logistics are reliable and when demand is predictable. The pandemic is causing many logistics and warehousing managers to consider building a degree of slack into their systems. This might involve companies having alternative suppliers they can call on, building in more spare capacity and having their own fleet of lorries or warehousing facilities that can be hired out when not needed but can be relied on at times of high demand.

When the ‘bounce back’ subsides, so may the current supply chain bottlenecks. But the rethinking that has been generated by the current problems may see new patterns emerge that make supply chains more flexible without becoming more expensive.

Articles

Questions

  1. What are the costs and benefits of a just-in-time approach to logistics?
  2. Are current supply chain problems likely to be temporary or are there issues that are likely to persist?
  3. How might the JIT approach be reformed to make it more adaptable to supply chain disruptions?
Posted on

Food sustainability

Each week, BBC Radio 4 broadcasts readings from a book serialised in five 15-minute episodes. In the week beginning 18 January 2021, the readings were from English Pastoral: An Inheritance by James Rebanks, a farmer from the Cumbrian fells. His farm is relatively small, covering 185 acres.

He has attempted to make it much more sustainable and less intensive, reintroducing traditional Herdwick sheep, having a mixture of cows and sheep rather than just sheep, a greater sub-division of fields, and more natural scrubland, peatbogs and trees. As a result, soil quality has improved and there has been an explosion of biodiversity, with an abundance of wild flowers and insects.

Apart from being an autobiography of his time as a farmer and his attempt to move towards more traditional methods, the book examines broader issues of agricultural sustainability. It looks at the pressures of consumers wanting cheap food, the market power of supermarkets and wholesalers, the cost pressures on farmers pushing them towards monoculture to achieve economies of scale, and the role of the agrichemicals industry promoting fertilisers, feeds and pesticides which bring short-term financial gains to farmers, but which cause longer-term damage to the land and to biodiversity.

Rebanks has gained quite a lot of media attention after the publication of his first book, The Shepherd’s Life, including being one of the guests on Desert Island Discs and the subject of an episode of The Food Programme.

Listen to the Food Programme podcast and try answering the questions, which are all based on the podcast in the order of the points made in the interview.

Podcast

Reviews

Questions

  1. What are the incentives of an unregulated market for food that result in monoculture and a loss of biodiversity?
  2. To what extent are consumers responsible for changes in farming methods?
  3. Have the changes helped the urban poor?
  4. How is the monopsony power of supermarkets and food wholesalers impacting on food production and the pattern of agriculture?
  5. There are various (private) economies of scale in food production, but these often involve substantial external costs and long-term private costs too. How does this impact on land use?
  6. What are some of the limits of technology in increasing crop, meat and dairy yields?
  7. Will more recent changes in the pattern of food consumption help to increase mixed farming and biodiversity?
  8. Is it ‘rational’ for many farmers to continue with intensive farming with high levels of artificial fertilisers and pesticides?
  9. Is diversity in farming across farms within a local area a public good? If so, how could such diversity be achieved?
  10. How can farmers be encouraged to think and act holistically?
  11. Is there a trade-off between food output and biodiversity?
  12. What are the dangers in the UK reaching an agricultural trade deal with the USA?
  13. What are the benefits and costs of encouraging local food markets?
Posted on

Support for firms forced to close: guaranteeing revenue?

Some firms in the high-Covid, tier 3 areas in England are being forced to shut by the government. These include pubs and bars not serving substantial meals. Similarly, pubs in the central belt of Scotland must close. But how should such businesses and their employees be supported?

As we saw in the blog, The new UK Job Support Scheme: how much will it slow the rise in unemployment?, the government will support such businesses by paying two-thirds of each employees’ salary (up to a maximum of £2100 a month) and will give cash grants to the businesses of up to £3000 per month.

This support has been criticised by local leaders, such as those in Greater Manchester, as being insufficient. Workers, they argue, will struggle to pay their bills and the support for firms will be too little to prevent many closing for good. What is more, many firms and their employees in the supply chain, such as breweries, will get no support. Greater Manchester resisted being put into tier 3 unless the level of support was increased. However, tier 3 status was imposed on the authority on 20 October despite lack of agreement with local politicians on the level of support.

Jim O’Neill, Vice Chair of the Northern Powerhouse partnership, has argued that the simplest way of supporting firms forced to close is to guarantee their revenue. He stated that:

The government would be sensible to guarantee the revenues of businesses it is forcing to shut. It is easier, fairer and probably less costly in the long run – and a proper test of the government’s confidence that in the New Year two of the seven vaccines the UK has signed up to will work.

This would certainly help firms to survive and allow them to pay their employees. But would guaranteeing revenues mean that such firms would see an increase in profits? The questions below explore this issue.

Articles

Questions

  1. Identify the fixed and variable costs for a pub (not owned by a brewery).
  2. If a pub closed down but the wages of workers continued to be paid in full, what cost savings would be made?
  3. If a pub closed down but was given a monthly grant by the government equal to its previous monthly total revenue but had to pay the wages of it workers in full, what would happen to its profits?
  4. On 19 October, the Welsh government introduced a two-week lockdown for Wales. Under these restrictions, all non-essential retail, leisure, hospitality and tourism businesses had to close. Find out what support was on offer for such firms and their workforce and compare it to other parts of the UK.
  5. What type of support for leisure and hospitality businesses forced by the government to close would, in your opinion, be optimal? Justify your answer.
  6. Is there any moral hazard from the government providing support for businesses made unprofitable by the Covid-19 crisis? Explain.