Tag: agriculture



Climate change is not just an environmental challenge: its socioeconomic impacts are profound and far-reaching, touching every aspect of society. From agriculture to health, from urban infrastructure to coastal communities, the effects of climate change are evident and escalating.

The far-reaching effects

In agriculture, rising temperatures, more intense and frequent heatwaves and changing precipitation patterns pose significant threats to food security.1, 2 Crop yields decline as extreme weather events become more frequent and unpredictable, leading to increased food prices and economic instability. Smallholder farmers, who often lack the resources to adapt, are particularly vulnerable, exacerbating rural poverty and food insecurity.3

Coastal communities face the dual threats of sea-level rise and more intense storms.4 Erosion and inundation damage homes, infrastructure and livelihoods, displacing populations and disrupting local economies. The loss of coastal ecosystems further compounds these challenges, reducing natural defences against storm surges and exacerbating the impacts of climate-related disasters.

Health systems strain under the burden of climate-change-induced heatwaves, air pollution and the spread of vector-borne diseases.5, 6 Heat-related illnesses increase as temperatures rise, particularly affecting vulnerable populations such as the elderly and outdoor workers. Air pollution exacerbates respiratory conditions, leading to higher healthcare costs and decreased productivity. Vector-borne diseases, such as malaria and dengue fever, expand into new regions, placing additional strain on already overburdened health systems.

Displacement due to climate-related disasters amplifies social inequalities and challenges urban planning and infrastructure.7 Vulnerable communities, often located in low-lying areas or informal settlements, bear the brunt of climate impacts, facing the loss of homes, livelihoods and community cohesion. Inadequate housing and infrastructure increase the risks associated with extreme weather events, perpetuating cycles of poverty and vulnerability.

Furthermore, climate change exacerbates existing socioeconomic disparities, disproportionately affecting marginalised and vulnerable populations. Indigenous communities, women, children and people living in poverty are often the hardest hit, lacking access to resources, information, and adaptive capacity.8

Policy responses

Addressing the socioeconomic impacts of climate change requires co-ordinated action across sectors and scales. Policy interventions, such as investment in climate-resilient infrastructure and the promotion of sustainable agriculture practices, are essential for building resilience and reducing vulnerability. Community-led initiatives that prioritise local knowledge and empower marginalised groups are also critical for fostering adaptive capacity and promoting social equity.

To address these challenges, projects like CROSSEU, the new €5 million Horizon Europe project (that I have the pleasure to be part of), play a crucial role in enhancing our understanding of these impacts and developing actionable strategies for resilience and adaptation. One of the key contributions of CROSSEU lies in its development of a Decision Support System (DSS) that integrates tools, measures, and policy options to address these risks in a cross-sectoral and cross-regional perspective. This DSS will support (and hopefully improve) decision-making processes at various levels, from local to EU-wide, and facilitate the adoption of evidence-based policies and measures to enhance resilience and mitigate the impacts of climate change.

Would you like to know more about CROSSEU? Follow our journey and be informed of our publications and events in our new webpage: https://crosseu.eu/9

Articles/References

  1. Global food security under climate change
    Proceedings of the National Academy of Sciences, Josef Schmidhuber and Francesco N Tubiello (11/12/2007)
  2. Reducing risks to food security from climate change
    Global Food Security, Bruce M Campbell et al. (2016: 11, pp 34–43)
  3. The value-add of tailored seasonal forecast information for industry decision making
    Climate, Clare Mary Goodess et al (16/10/2022)
  4. Assessing climate change impacts, sea level rise and storm surge risk in port cities: a case study on Copenhagen
    Climatic change, Stéphane Hallegatte, Nicola Ranger, Olivier Mestre, Patrice Dumas, Jan Corfee-Morlot, Celine Herweijer and Robert Muir Wood (7/12/2010)
  5. Health risks of climate change: An assessment of uncertainties and its implications for adaptation policies
    Environmental Health, J Arjan Wardekker, Arie de Jong, Leendert van Bree, Wim C Turkenburg and Jeroen P van der Sluijs (19/9/2012)
  6. Climate Change and Temperature-related Mortality: Implications for Health-related Climate Policy
    Biomedical and Environmental Sciences, Tong Shi Lu, Jorn Olsen and Patrick L Kinney (2021: 34(5) pp 379–86 )
  7. Climate Change, Inequality, and Human Migration
    IZA Discussion Paper No. 12623, Michał Burzyński, Christoph Deuster, Frédéric Docquier and Jaime de Melo (23/9/2019)
  8. The trap of climate change-induced “natural” disasters and inequality
    Global Environmental Change, Federica Cappelli, Valeria Costantini and Davide Consoli (30/7/2021)
  9. Cross-sectoral Framework for Socio-Economic Resilience to Climate Change and Extreme Events in Europe
    UEA Research Project, Nicholas Vasilakos, Katie Jenkins and Rachel Warren

Questions

  1. How do the socioeconomic impacts of climate change differ between rural and urban communities? What factors contribute to these disparities, and how can policies address them effectively?
  2. In what ways do vulnerable populations, such as indigenous communities and those living in poverty, bear the brunt of climate change impacts? How can we ensure that climate adaptation strategies prioritise their needs and promote social equity?
  3. The blog mentions the importance of community-led initiatives in building resilience to climate change. What examples of successful community-based adaptation projects can you identify, and what lessons can be learned from their implementation?
  4. How can governments and organisations collaborate to address the socioeconomic impacts of climate change while also promoting economic growth and development? What role do cross-sectoral partnerships play in building resilience and fostering sustainable practices?

The development of open-source software and blockchain technology has enabled people to ‘hack’ capitalism – to present and provide alternatives to traditional modes of production, consumption and exchange. This has enabled more effective markets in second-hand products, new environmentally-friendly technologies and by-products that otherwise would have been negative externalities. Cryptocurrencies are increasingly providing the medium of exchange in such markets.

In a BBC podcast, Hacking Capitalism, Leo Johnson, head of PwC’s Disruption Practice and younger brother of Boris Johnson, argues that various changes to the way capitalism operates can make it much more effective in improving the lives of everyone, including those left behind in the current world. The changes can help address the failings of capitalism, such as climate change, environmental destruction, poverty and inequality, corruption, a reinforcement of economic and political power and the lack of general access to capital. And these changes are already taking place around the world and could lead to a new ‘golden age’ for capitalism.

The changes are built on new attitudes and new technologies. New attitudes include regarding nature and the land as living resources that need respect. This would involve moving away from monocultures and deforestation and, with appropriate technologies (old and new), could lead to greater output, greater equality within agriculture and increased carbon absorption. The podcast gives examples from the developing and developed world of successful moves towards smaller-scale and more diversified agriculture that are much more sustainable. The rise in farmers’ markets provides an important mechanism to drive both demand and supply.

In the current model of capitalism there are many barriers to prevent the poor from benefiting from the system. As the podcast states, there are some 2 billion people across the world with no access to finance, 2.6 billion without access to sanitation, 1.2 billion without access to power – a set of barriers that stops capitalism from unlocking the skills and productivity of the many.

These problems were made worse by the response to the financial crisis of 2007–8, when governments chose to save the existing model of capitalism by propping up financial markets through quantitative easing, which massively inflated asset prices and aggravated the problem of inequality. They missed the opportunity of creating money to invest in alternative technologies and infrastructure.

New technology is the key to developing this new fairer, more sustainable model of capitalism. Such technologies could be developed (and are being in many cases) by co-operative, open-source methods. Many people, through these methods, could contribute to the development of products and their adaptation to meet different needs. The barriers of intellectual property rights are by-passed.

New technologies that allow easy rental or sharing of equipment (such as tractors) by poor farmers can transform lives and massively increase productivity. So too can the development of cryptocurrencies to allow access to finance for small farmers and businesses. This is particularly important in countries where access to traditional finance is restricted and/or where the currency is not stable with high inflation rates.

Blockchain technology can also help to drive second-hand markets by providing greater transparency and thereby cut waste. Manufacturers could take a stake in such markets through a process of certification or transfer.

A final hack is one that can directly tackle the problem of externalities – one of the greatest weaknesses of conventional capitalism. New technologies can support ways of rewarding people for reducing external costs, such as paying indigenous people for protecting the land or forests. Carbon markets have been developed in recent years. Perhaps the best example is the European Emissions Trading Scheme (EMS). But so far they have been developed in isolation. If the revenues generated could go directly to those involved in environmental protection, this would help further to internalise the externalities. The podcasts gives an example of a technology used in the Amazon to identify the environmental benefits of protecting rain forests that can then be used to allow reliable payments to the indigenous people though blockchain currencies.

Podcast

Questions

  1. What are the main reasons why capitalism has led to such great inequality?
  2. What do you understand by ‘hacking’ capitalism?
  3. How is open-source software relevant to the development of technology that can have broad benefits across society?
  4. Does the current model of capitalism encourage a self-centred approach to life?
  5. How might blockchain technology help in the development of a more inclusive and fairer form of capitalism?
  6. How might farmers’ co-operatives encourage rural development?
  7. What are the political obstacles to the developments considered in the podcast?

In the blog the service sector continues to drive the UK business cycle written in October 2014 we observed how UK growth was being driven by the service sector while other industrial sectors struggled. The contrasting performance across UK industry appears now to be even more marked. The latest GDP numbers from the Office for National Statistics contained in Gross Domestic Product: Preliminary Estimate, Quarter 4 (Oct to Dec) 2015 show the economy’s output expanded by 0.5 per cent in the fourth quarter. Yet the construction sector is in recession following contractions of 1.9 per cent (Q3) and 0.1 per cent (Q4). Here we update our earlier blog to evidence the UK’s growth paradox.

Preliminary estimates suggest that the UK economy expanded by 0.5 per cent in the final quarter of 2015 following on from growth of of 0.4 per cent in the third quarter. 2015 as a whole saw output grow by 2.2 per cent, down from 2.9 per cent in 2014 and a little below the average over the past 60 years of around 2.6 per cent.

Chart 1 shows quarterly economic growth since 1980s (Click here for a PowerPoint of the chart). It illustrates nicely the inherent volatility of economies – one of the threshold concepts in economics.The average quarterly rate of growth since 1980 has been 0.5 per cent so on the face of it, a quarterly growth number of 0.5 per cent might seem to paint a picture of sustainable growth. Yet, the industrial make up of growth is far from balanced.

Consider now Chart 2 (Click here for a PowerPoint of the chart). It allows us to analyse more recent events by tracking how industrial output has evolved since 2006. It suggests an unbalanced recovery following the financial crisis. In 2015 Q4 the economy’s total output was 6.6 per cent higher than in 2008 Q1 with service-sector output 11.6 per cent higher. However, a very different picture emerges for the other principal industrial types.

The economy’s total output surpassed its 2008 Q1 peak in 2013 Q2, but output across the production industries in 2015 Q4 remains 9.4 per cent lower than in 2008 Q1 (and 6.4 per cent lower specifically within manufacturing) and 4.2 per cent lower in the construction sector. However, output in the agricultural sector has rebounded and is now 8.4 per cent higher than in 2008 Q1.

The growth data continue to show the British economy struggling to rebalance its industrial composition. With output in construction in 2015 Q4 2 per cent lower than it was in Q2 and manufacturing output 0.4 per cent lower, UK growth remains stubbornly dependent on the service sector.

Data

Preliminary Estimate of GDP – Time Series Dataset Quarter 4 (Oct to Dec) 2015 Office for National Statistics
Gross Domestic Product: Preliminary Estimate, Quarter 4 (Oct to Dec) 2015 Office for National Statistics
Economy tracker: GDP BBC News

Articles
UK economic growth slows in 2015: what the economists are saying Guardian, Katie Allen (28/1/16)
UK economy grows 0.5% in fourth quarter BBC News, (28/1/16)
Bumpy times ahead’ for UK even as fourth quarter growth accelerates Telegraph, Szu Ping Chan (28/1/16)
UK economic growth rises to 0.5% in fourth quarter The Scotsman, Roger Baird (28/1/16)
GDP growth picks up to 0.5% but only the services sector comes to the party Independent, Ben Chu (29/1/16)

Questions

  1. What is the difference between nominal and real GDP? Which of these helps to track changes in economic output?
  2. Looking at Chart 1 above, summarise the key patterns in real GDP since the 1980s.
  3. What is a recession?
  4. What are some of the problems with the traditional definition of a recession?
  5. Can a recession occur if nominal GDP is actually rising? Explain your answer.
  6. What factors lead to economic growth being so variable?
  7. What factors might explain the very different patterns seen since the late 2000s in the volume of output of the four main industrial sectors?
  8. What different interpretations could there be of a ‘rebalancing’ of the UK economy?
  9. What other data might we look at to analyse whether the UK economy is ‘rebalancing’?.
  10. Do the different rates of growth across the industrial sectors of the UK matter?
  11. Produce a short briefing paper exploring the prospects for economic growth in the UK over the next 12 to 18 months.
  12. What is the difference between GVA and GDP?
  13. Explain the arguments for and against using GDP as a measure of a country’s economic well-being.

You’ll be familiar with these types of posts from me, which typically start with a comment like: ‘On my commute to work on …’. That’s one of the good things about a long drive – the interesting and informative discussions that you hear on the radio. This one is another interesting piece from BBC Radio 4, looking at a very topical issue, especially to those living in the South West and other rural areas in the UK.

We have recently seen pictures of farmers protesting about the price of milk and in places like Somerset, the protest took a rather odd method, where farmers from across the region entered supermarkets and simply bought all of the milk, before giving it away. The issue is that dairy farming is no longer profitable, as the price that dairy farmers receive for each pint of milk is now lower than the cost of providing it. Thus, for each pint they make a loss.

There are many reasons that have contributed to this situation, including pressures imposed by customers demanding cheaper prices; pressures from supermarkets using their monopsony power to force down the prices paid to farmers; and pressures from abroad. In the case of milk, we have a surplus and with a perishable product, i.e. one that cannot be stored, unlike wheat, this has contributed to falling prices. Data suggest that we are seeing approximately one farmer per day being forced to leave the indsutry.

This programme explores the current dairy farming crisis and draws some similarities with the wheat crisis that the UK experienced in the 1930s. The programme below is 30 minutes and provides some interesting insights on two important commodities and the economics behind the markets.

Today’s crisis in dairy farming and the wheat crisis of the 1930s BBC Radio 4; The Long View, Jonathan Freedland (29/9/15)

Questions

  1. Using demand and supply analysis, explain the situation in the milk market.
  2. Now consider the wheat industry and provide a similar analysis of how prices are set and what caused the problems seen in the 1930s.
  3. Although these two commodities have similarities they are also very different. Why can two different commodities experience such similar problems at such different times?
  4. What are the key demand and supply-side factors affecting the current low price of milk?
  5. Consider the market for (a) milk and (b) wheat. What are (if any) the market failures within each area?
  6. Agriculture is an area where we do see significant government intervention. Should the UK government be doing more to help the UK’s dairy farmers? If so, what should they do and would this intervention create further problems, e.g. unintended consequences?

The latest GDP numbers from the Office for National Statistics contained in Quarterly National Accounts, Q2 2014 show the economy’s output expanded by 0.9 per cent in the second quarter. This follows on the back of a 0.7 per cent increase in output in Q1 2014. The economy’s output is now thought to be 0.7 per cent above its Q1 2008 peak. Yet, the data show very different profiles for the four principal industrial sectors. The service sector appears to be ploughing ahead while the rest (production, construction and agriculture) lag behind.

Chart 1 shows quarterly economic growth since 1980s (click here for a PowerPoint of the chart). It illustrates nicely the inherent volatility of economies – one of the threshold concepts in economics. The average quarterly rate of growth since 1980 has been 0.5 per cent. On the face of it, a quarterly growth number of 0.9 per cent would appear very robust. Of course, this has to been set in the context of the 2008/9 recession. UK output peaked in Q1 2008 (£414.424 billion at 2011 prices). The revised data now show that there followed 5 quarters of declining output (previously, data suggested the duration of the recession was 6 quarters). During this period output shrank 6 per cent (GDP at 2011 prices had fallen by Q2 2009 to £389.388 billion ).

Chart 1 highlights two earlier downturns. First, there is the recession of the early 1980s. We can see the 5-quarter recession that commenced in Q1 1980. By the end of this recession output had shrunk by 4.5 per cent. Second, there is the recession of the early 1990s which commenced in Q3 1990. Again, this recession lasted five quarters. By the time the economy had come out of recession it had shrunk 2.2 per cent.

Consider now Chart 2 (click here for a PowerPoint of the chart). It allows us to analyse more recent events by tracking how industrial output has evolved since 2006. It suggests an unbalanced recovery. From it, we observe that in Q2 2014 service-sector output was 6.5 per cent higher than in Q1 2008. However, a very different picture emerges for the other principal industrial types. Output across the production industries remains 9.7 per cent lower, 9.2 per cent lower in agriculture and 8.9 per cent lower in the construction sector.

In short, the British economy continues to struggle to rebalance its industrial base. The business cycle remains heavily dependent on the service sector.

Articles
UK GDP revised up: what the economists say Guardian, Katie Allen (30/9/14)
UK economy grew 0.9% in second quarter, says ONS BBC News, Katie Allen (9/5/14)
UK GDP: Did the UK economy do well after all? Independent, Ben Chu (30/9/14)
UK economy grew 0.9% Herald, Ian McConnell (1/10/14)
Economy tracker: GDP BBC News (30/9/14).

Data

Quarterly National Accounts, Q2 2014 Dataset Office for National Statistics
Quarterly National Accounts, Q2 2014, Statistical Release Office for National Statistics

Questions

  1. What is the difference between nominal and real GDP? Which of these helps to track changes in economic output?
  2. Looking at Chart 1 above, summarise the key patterns in real GDP since the 1980s.
  3. What is a recession?
  4. What are some of the problems with the traditional definition of a recession?
  5. Can a recession occur if nominal GDP is actually rising? Explain your answer.
  6. What factors lead to economic growth being so variable?
  7. What factors might explain the very different patterns seen since the late 2000s in the volume of output of the four main industrial sectors?
  8. What different interpretations could there be of a ‘rebalancing’ of the UK economy?
  9. What other data might we look at to analyse whether the UK economy is ‘rebalancing’?.
  10. Produce a short briefing paper exploring the prospects for economic growth in the UK over the next 12 to 18 months.
  11. What is the difference between GVA and GDP?
  12. Explain the arguments for and against using GDP as a measure of a country’s economic well-being.