# Technology

• Tiago Belejo Correia
• José Ramón Díez
• Clàudia Canals
Oriol Carreras Baquer
Eduard Llorens i Jimeno
• Clàudia Canals
Oriol Carreras Baquer
• Clàudia Canals
Oriol Carreras Baquer
• Clàudia Canals
Oriol Carreras Baquer
Eduard Llorens i Jimeno
• Oriol Aspachs
• Enric Fernández
• Enric Fernández
• Enric Fernández
• Clàudia Canals
• Oriol Carreras Baquer
• Javier García Arenas
• Cristina Farras
• Oriol Carreras Baquer
• Javier García Arenas
Marta Guasch
• Roser Ferrer
• Àlex Ruiz
• Josep Mestres Domènech
• Ricard Murillo Gili
• Roser Ferrer
• Àlex Ruiz
• Clàudia Canals
• Oriol Carreras Baquer
Roser Ferrer
Ricard Murillo Gili
• Javier García Arenas
• Sandra Jódar Rosell
Denis Nakagaki
• Enric Fernández
• Gerard Arqué
• Antonio Escoda
• Josep Mestres Domènech
• Josep Mestres Domènech
• Denis Nakagaki
• Roser Ferrer
• Clàudia Canals
Oriol Carreras Baquer
• Clàudia Canals
Oriol Carreras Baquer
• Clàudia Canals
Oriol Carreras Baquer
• Ana Bras
Lukas Schaefer
• Clàudia Canals
• Clàudia Canals
Oriol Carreras Baquer
• Clàudia Canals
Oriol Carreras Baquer
Judit Montoriol Garriga
Lukas Schaefer
• Clàudia Canals
Oriol Carreras Baquer
• Clàudia Canals
Oriol Carreras Baquer
• ## Digitalisation of the agrifood sector: what does Twitter tell us?

catalanspanish

14 Dec 2021

14 Sep 2021

## Digital NGEU: an important leap or not?

13 Sep 2021

Technology is advancing at a frenetic pace and offers the agrifood chain a large number of opportunities to make its production more efficient and sustainable. Moreover, the arrival of COVID-19 has shown that the most digitalised companies were able to continue their activities more readily than the rest. In this article we examine the degree of popularity of the different digital technologies used in the primary sector and agrifood industry based on a text analysis of over 2 million tweets on Twitter. All these technologies are essential to create a connected ecosystem that will make up the Food Chain 4.0 of the future.

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The unexpected arrival of the pandemic has shown that the most digitalised companies were more prepared to adapt to the new situation and were able to continue to operate much more smoothly than the rest. There is no doubt that, in this new environment, the digital transformation of companies is now unavoidable in order to boost their competitiveness.

Big data, robotics, the internet of things and blockchain are just some examples of the new digital technologies gradually being adapted by firms, particularly in the agrifood sector. Technology is advancing at a frenetic pace and is offering the agrifood chain a large number of opportunities to produce more efficiently and sustainably. However, statistical information on the degree to which such technologies have been taken up, and the most comprehensive official statistical source1, does not provide information on the primary sector. Below we present a novel analysis of the «popularity»  of new digital technologies in the agrifood sector based on data from Twitter.

• 1. Survey on the use of information and communication technologies (ICT) and e-commerce in companies, compiled by the National Statistics Institute.
Twitter as a source of information to detect future trends

Data from Twitter can be extremely valuable in detecting new trends as it allows us to analyse the popularity of certain terms according to how frequently they appear in tweets. However, it is true that «talking about something» is not the same as successfully implementing the various digital technologies in a company's recurring operations. For this reason the results presented below should be interpreted simply as an indication of new trends that may be taking root in agrifood companies.

Data from Twitter allow us to analyse how popular the different digital technologies

are in the agrifood sector according to how often they are mentioned in tweets.

For this study, data was processed from over 24 million tweets sent by individual users and digital media during the period 2017-2019. Among these, 2 million corresponded to the agrifood sector. Using natural language processing techniques, the tweets were categorised according to mentions of different digital technologies and to the business sector.2 The key to obtaining relevant data from social media is to first define «seed» words or phrases to identify texts corresponding to each of the business sectors, as well as «seed» words or phrases related to the different digital technologies of interest.3 Using a machine-learning algorithm, other words and phrases related to the concept in question that were not initially included were also identified, thus broadening the spectrum of texts analysed. At this stage, it is important to carefully screen for polysemous words (i.e. those that have more than one meaning, such as the word «reserva» in Spanish, which can be used to refer to a hotel booking as well as an aged wine).

• 2. This analysis was carried out in collaboration with Citibeats, a company specialising in unstructured natural language processing.
• 3. For example, the «seed» woods and phrases used to identify big data were: analytics, arquitectura de sistemas (system architecture), data mining, database, inteligencia empresarial (business intelligence), Python and SQL, among others (as well as the term big data per se).
What is the degree of digitalisation of the agrifood sector according to Twitter?

To assess the agrifood sector's degree of digitalisation according to data from Twitter, we first need to know how common tweets about digitalisation are in other business sectors. The most digitalised industry according to our analysis is the information and communication technologies (ICT) sector: 3.2% of the sector's tweets contain terms related to digitalisation, a result that is not surprising given the very nature of the industry. Next comes finance and insurance with 2.7% of the tweets.

This percentage is obviously lower in the primary sector at 0.6% but it is similar to the 0.7% for professional, scientific and technical activities. In the case of the agrifood industry, the percentage of tweets on digitalisation is only 0.3%, very close to the basic manufacturing sector (which includes the textile, wood, paper and graphic arts industries), with the lowest percentage among the sectors analysed, 0.2%.

Which digital technologies are most popular in the agrifood sector according to Twitter?

The wealth of data obtained from Twitter allow us to identify the most popular digital tools in each business sector according to how frequently they are mentioned in the tweets examined. According to our analysis, a large proportion of the primary sector's tweets about digitalisation tend to include issues related to big data (45% of all tweets about digitalisation). One clear example of the application of big data in the sector can be found in «precision agriculture» techniques which require large amounts of data to be analysed to optimise decisions and thereby increase production and, in turn, ensure sustainability. These techniques are used, for instance, to calculate the irrigation requirements of crops by taking into account climatic conditions (sunlight, wind, temperature and relative humidity) and crop characteristics (species, state of development, planting density, etc.). To carry out this calculation, real-time updated meteorological data, a large computing capacity and fast data transmission speeds are all required for an automatic irrigation system to be properly adjusted. This technology helps to use water more efficiently, a highly relevant aspect in areas with a Mediterranean climate that are extremely vulnerable to climate change and where water is in short supply.

Big data, the internet of things and robotics are the most popular technologies in the primary sector,

indispensable for advancing the application of precision agriculture techniques and smart automated farming.

Other popular technologies in the primary sector are the internet of things (16% of tweets) and robotics, including drones (10% of tweets). The new digital technologies promise to revolutionise the field of agriculture and stockbreeding by the middle of this century, the same as the mechanisation of farming in the xxi century. Agricultural Machinery 4.0 (which is closer to the robots in science fiction films than to the tractors we are used to seeing on all farms in the country) helps to increase productivity whilst also improving working conditions in the field. This trend towards more automated agricultural tasks has become stronger in the wake of the coronavirus pandemic, as the difficulty in recruiting seasonal workers due to international mobility restrictions has led to increased interest in robotics and agricultural automation. In fact, companies that manufacture robots for agriculture have seen a sharp increase in orders, such as robots that pick strawberries while removing mould with ultraviolet light.14

The use of drones warrants particular attention as this has grown exponentially in recent years and applications are increasingly widespread: from the early detection of pests and the aerial inspection of large areas of crops to locating wild boar with heat-sensitive cameras to prevent the spread of African swine fever to domestic pigs.5

• 4. See Financial Times Agritech «Farm robots given Covid-19 boost», 30 August 2020.

### The popularity of various digital technologies in the agrifood sector

Blockchain is the technology that stands out most in the food sector (30% of the total number of tweets on the sector's digitalisation) and this comes as no surprise as it has many different applications for the food and beverage industry. Producing a chain of unalterable, reliable records, blockchain makes it possible to guarantee the complete traceability of products throughout all the links in the food chain. Simply scanning a QR code provides access to all the data regarding the origin, production method, veterinary treatments received, ingredients used, etc. A large number of agrifood companies are already experimenting with blockchain as it offers clear benefits in terms of transparency regarding origin, product quality and food safety, aspects that are increasingly valued by consumers. Blockchain technology is also being used to limit food waste, another essential challenge for the sector.

Blockchain enables the digital verification of food products,

making them traceable throughout the links in the food chain.

Compared with other sectors, which tools are particularly significant for the agrifood industry?

There are some digital technologies that are not very popular across all economic sectors, perhaps because they have a more limited or specific range of application. These are technologies that, despite having a low percentage of tweets in absolute terms according to our study, may be relatively popular for a particular sector compared with the rest.

To detect such cases, we have calculated a new metric, namely a concentration index which takes into account the relative popularity of technologies in a sector compared with the rest of the sectors.6 By using this methodology, we have found that the primary sector continues to stand out in terms of big data. Specifically, the primary sector concentrates 9.2% of the total number of tweets mentioning big data made by all sectors, a much larger proportion than the 3.1% share of primary sector tweets out of the total number of tweets analysed (as can be seen in the following table, in this case the concentration index is 3). We have also determined that the sector is particularly interested in the internet of things, as already mentioned, but have discovered that nanotechnology is also a relatively popular technology in the primary sector. In other words, although only 3.8% of the tweets in the primary sector deal with nanotechnology, this percentage is high compared with the 1.7% share of nanotechnology tweets out of the total (in other words, this technology is not very popular in general across all sectors but is slightly more popular in the primary sector than the others). This find is not surprising since genetic engineering is one of the fields in which technology has advanced most in order to boost crop yields. For example, by optimising the yield of vines it is possible to develop plants that are much more resistant to extreme weather conditions and pests.

• 6. The concentration index is calculated as the ratio between (1) the percentage of tweets related to a particular technology and sector out of the total tweets for this technology, and (2) the percentage of tweets by a sector out of the total tweets of all sectors. Values above 1 indicate the technology is relatively more popular in that sector.

### Concentration index for tweets related to each technology in comparison with the other sectors

Finally, virtual and augmented reality is also a relatively popular technology in
the agrifood industry.
Specifically, the agrifood industry concentrates 6.2% of the total virtual and augmented reality tweets made by all sectors, a percentage that more than doubles the 2.5% share of primary sector tweets out of the total number of tweets analysed (the concentration index is equal to 2.5 in this case). This technology uses virtual environments (virtual reality) or incorporates virtual elements into reality (augmented reality) that provide additional knowledge and data that can be used to optimise processes. At first it may be surprising that this technology is relatively popular in the agrifood industry but its uses are spreading as the industry implements digital technologies in its production processes, in the so-called Industry 4.0. One specific example of how this technology is used is in repairing breakdowns. When a fault occurs, operators can use augmented reality goggles to follow the steps contained in virtual instruction manuals that are projected onto the lens to help resolve the incident. The glasses recognise the different parts of the machine and visually indicate to operators where they should act to solve the specific problem.

There are numerous examples of new digital technologies being applied in the agrifood sector. We are witnessing a revolution that is destined to transform the different links in the food chain: from the exploitation of data and the use of drones to make harvesting more efficient to implementing blockchain technology to improve the traceability of the final products that reach our homes. In short, the future will bring us the Food Chain 4.0, a totally connected ecosystem from the field to the table.

Monograficos
• Javier Ibáñez de Aldecoa Fuster
Eduard Llorens i Jimeno
• Eduard Llorens i Jimeno
• Clàudia Canals
Oriol Carreras Baquer
• Clàudia Canals
Oriol Carreras Baquer
• Clàudia Canals
Oriol Carreras Baquer
• Clàudia Canals
Oriol Carreras Baquer
Judit Montoriol Garriga
• Clàudia Canals
Oriol Carreras Baquer
• Enric Fernández
• Josep Mestres Domènech
Eduard Llorens i Jimeno
• Eduard Llorens i Jimeno
• Josep Mestres Domènech
Eduard Llorens i Jimeno
• ## e-commerce: several year’s progress made in just a few months

catalanspanish

14 Dec 2021

14 Sep 2021

## Digital NGEU: an important leap or not?

13 Sep 2021

The pandemic has inevitably brought about major changes in our consumption habits. Faced with the impossibility of going to a store in person, online shopping channels have gained a lot of share in 2020. According to an analysis of CaixaBank’s internal data, this growth has not only been significant but also widespread among companies of different sizes and sectors, and has encouraged many of them to use e-commerce as a sales channel for the very first time.

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The huge growth in e-commerce after the outbreak of the pandemic

The harsh mobility restrictions imposed to combat the spread of COVID-19 have undoubtedly dealt a severe blow to the Spanish economy but they have also speeded up some of the changes we had already been observing. One of the changes seeing the greatest growth, and also which we have been monitoring the most, is the adoption of e-commerce by retailers. Given the mobility restrictions and social distancing, online sales are providing a boost for the retail sector that has helped to avoid an even more complex economic situation during the pandemic.

To analyse the progress of online sales, we have used the consumption indicator compiled from CaixaBank’s internal data, evaluating the trend in retail without the trade in essential goods, which perform very differently to the rest of retail trade.11 As can be seen in the chart below, e-commerce sales have performed very well since the start of the pandemic. Between the months of April and May 2020, when mobility was restricted the most, e-commerce spending achieved triple-digit growth, reaching spending volumes only surpassed in the week of Black Friday in recent years. This growth rate moderated as restrictions were eased and people could once again make face-to-face purchases. Nevertheless, the growth rates have consistently remained above 50% compared to 2019, except at very specific moments.

• 11. We have excluded food and pharmacy sales from the analysis since the effect of the restrictions on the consumption of these types of goods was the opposite of that observed for trade in non-essential goods during the early part of the pandemic.

#### CaixaBank retail consumption indicator1

Variation compared to the baseline (%)2

The trend described for e-commerce is in clear contrast to the performance of face-to-face sales which, as can be seen from the chart, fell sharply during the first state of emergency and, to a lesser extent, during the second and third waves of COVID-19 in November 2020 and February 2021, respectively. In 2020 as a whole, face-to-face retail spending fell by 23% compared to 2019, while e-commerce grew by 69% year-on-year. As a result, the growth in online sales cushioned the impact on the sector’s turnover, down by 15%.

Democratic growth in internet sales

One question that should be asked is what type of commerce has been able to benefit from this growth in online sales. Switching to selling online or expanding existing e-commerce channels entails significant investment in digitisation, representing a barrier for smaller businesses, especially those having to adopt this channel for the very first time. Nevertheless, according to an analysis of CaixaBank’s internal data, the growth in e-commerce has been widespread, observed in both large and small companies, as well as in companies with e-commerce experience and also new entrants.

According to an analysis of CaixaBank’s internal data,

the growth in e-commerce has been widespread, observed in both large and small companies, as well as in experienced companies and new entrants

As the following chart shows, as of May 2020 the contribution made by new entrants to the growth in e-commerce sales increased steadily, reaching 30% of the total. However, after the second state of emergency was announced on 25 October 2020, this upward trend ended. This is probably because, in events such as Black Friday and the Christmas season, the most consolidated e-commerce retailers once again captured the bulk of online sales. However, the contribution made to e-commerce growth by new entrants was very high in 2020 as a whole, revealing that this shift to internet sales has also occurred in stores that were not previously online.

## Contribution to retail e-commerce growth by new entrants

Last actualization: 07 July 2021 - 15:47

If we look at the dynamics of e-commerce by company size, we can observe two different stages. First, during the months of the first state of emergency, large companies made up the bulk of e-commerce growth. Small businesses found it more difficult to react immediately and many had to wait until they were able to open in person in order to start adapting to e-commerce sales.

During the months of the first state of emergency,

large companies made up the bulk of e-commerce growth. Small businesses have taken longer to react

From the end of June, coinciding with the end of the state of emergency, the dynamics of e-commerce began to change in favour of smaller businesses. Specifically, from that moment on, the possibility of opening their doors made it easier for many small businesses to adapt to the online sales channel. As a result, in July and August online sales by smaller companies generated about half the sector’s total growth in e-commerce.

#### CaixaBank retail e-commerce indicator1

Contribution to year-on-year change (pp)

Structural change

Internal CaixaBank data also suggest that the increase in online sales is not concentrated within a few types of trade; in fact quite the opposite. All retail categories have posted appreciable growth during 2020, although we expect to see e-commerce growth moderating in favour of greater on-site spending following the lifting of restrictions.

It is therefore interesting to estimate to what extent the growth in e-commerce is here to stay. To this end, the chart below shows the trend in the share of online purchases as a percentage of total purchases in the different branches of retail activity. As can be seen, the share of e-commerce picked up strongly in 2020 in all branches. However, if we compare the trend of recent years with the record of March 2021, a month with notable restrictions but not particularly hard on retail trade, we can see there are some branches of activity (bookshops and stationers, as well as textiles) where the share of face-to-face consumption has returned to normal. On the other hand, for the rest of the branches of activity, part of the extraordinary gains made in 2020 was still visible in March 2021, to some extent suggesting a possible change in consumption patterns.

## Share of e-commerce in total sales

Last actualization: 07 July 2021 - 15:48
It is too early to judge how much of this change will be structural and how much will dissipate once we get over the health crisis.

Face-to-face consumption is sure to remain one of the main supports for retail trade

In conclusion, e-commerce has grown considerably after the emergence of COVID-19. This growth, moreover, has been «democratic» since both large and small companies (although the latter took a little longer) have taken advantage of the boost provided by the mobility restrictions to online consumption. It has also been a very steep learning curve, so that new entrants to e-commerce were behind much of the growth in 2020.

However, it is too early to judge how much of this change will be structural and how much will dissipate once we get over the health crisis. Face-to-face consumption is sure to remain one of the main supports for retail trade. Nevertheless, it is difficult to see a future for retail without the sector committing clearly and strongly to digitising its sales channels, enabling many small businesses to access a much larger and more diversified market and consumers to access a market with a much wider range on offer.

Monograficos
• Judit Montoriol Garriga
Àlex Ruiz
• Clàudia Canals
Oriol Carreras Baquer
• Clàudia Canals
Oriol Carreras Baquer
• Clàudia Canals
Oriol Carreras Baquer
• Clàudia Canals
Oriol Carreras Baquer

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## NGEU: the action plans in the digital sphere in key sectors of the Spanish economy

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September 13th, 2021

In this article, we review the main actions set out in the Recovery, Transformation and Resilience Plan in the sphere of digitalisation in three sectors of interest for the Spanish economy: tourism, industry and agri-food.1

• 1. In 2019, these three sectors together accounted for around 29% of GDP.
1. Tourism sector

The Plan includes investments in the sphere of digitalisation to help attract tourists, who are becoming increasingly digitalised, as well as to improve the management of tourism flows and to boost the competitiveness of companies in the sector.

The Plan mobilises funds from the Recovery and Resilience Mechanism (RRM) to the tune of 3.4 billion euros in the sector, of which it plans to devote 15.4% to investments in digitalisation. This amounts to some 540 million euros in the period between 2021 and 2023. To determine whether this sum is significant, we must compare it with the industry’s usual level of investment in digitalisation. To this end, we made an approximation using the EUKLEMS database, which provides sector-by-sector information on investments in different areas, including some related to the digital sphere.2

This exercise indicates that the total amount set out in the Plan represents around 25% of the sector’s average annual investment in 2014 and 2015. If we distribute the investment evenly across three years, this represents an increase of 8.3% per year. This is a notable increase if we consider that between 1996 and 2015 the average annual increase in investments of this kind in the sector was 7.2%.

If we look in more detail at the type of investments envisaged, they can be grouped into three categories:

1) Tourism Sustainability Plan for destinations: the objective of these investments is to improve the customer’s tourism experience through digital applications (websites, apps), to develop and manage connectivity infrastructure (fibre optic cable, municipal WiFi networks, 5G), to develop artificial intelligence (AI) and big data tools (online reputation management, flow management, etc.) and to engage with businesses providing tourism services at the destination (improve training and offer advice on digital matters).

2) Digital Transformation Plan for tourist destinations: the proposal involves creating a platform that provides interoperability to the supply of public and private tourism services, as well as creating the Tourism Integration System (TIS), an environment for accessing information on supply and demand which offers analytical tools as well as other tools to facilitate interaction with tourists.

3) Digital Transformation Plan for companies in the tourism value chain through artificial intelligence and other enabling technologies: this latter chapter foresees the creation of a sector-wide database to enhance the use of big data and AI in the sector, as well as to generate a public-private collaborative environment in order to create a kind of app store aimed at businesses in the sector. Finally, financing will be offered for innovation processes, especially in SMEs.

While the actions considered are a step in the right direction, the Plan does not provide many details about the mechanisms for facilitating the process of the modernisation and digitalisation of SMEs.

• 2. To approximate the volume of investment in digitalisation, we sum up the categories of software and databases, research and development, computers and telecommunications equipment. We also approximate the tourism sector using the official CNAE economic activity sectors I and R (hospitality and artistic, recreational and entertainment activities).
2. Industrial sector

The aim is to promote the modernisation and productivity of the industrial ecosystem through the digitalisation of the value chain. MRR funds amounting to 3,781.5 million euros are expected to be mobilised, of which 25% is earmarked for investments in the sphere of digitalisation (some 950 million euros) between 2021 and 2023. When we approximate the sector’s investments in digitalisation using the EUKLEMS database, the investment considered represents 16% of the sector’s average annual investment in 2014 and 2015. Distributed evenly across three years, this represents an increase of 5.4% per year, a significant rate given that the average growth in this type of investment in the sector stood at 4.0% between 1996 and 2015.

The investments considered can be distinguished between two areas of focus:

1) Promoting sector-wide data spaces: facilitating the creation of large-scale sectoral data spaces to serve as a basis for digitalisation or to be made use of with the help of analytical tools. Finance pilot projects in order to explore data exchange possibilities.

2) Investments in the sphere of the circular economy: financing the adoption of digital technologies aimed at environmental management.

There is a third, very important area of focus which is based on the new figure of public-private collaboration (so-called PERTEs), designed to promote projects with a high knock-on capacity as well as containing elements of investment in digitalisation. However, the specific actions that will be carried out in this third area are yet to be determined.

3. Agri-food and fisheries sector

The focus of the Plan is to respond to the challenges that are eroding the sector’s competitiveness. One such challenge is the delay in the incorporation of digital technologies. To address this delay, 7% of the RRM funds allocated to the sector (1,051 million euros in total) are earmarked for investments in digitalisation, representing some 74 million euros to be distributed between 2021 and 2023.

While the amount in absolute terms may seem small, the figure envisaged in the Plan represents 90% of the sector’s average annual investment in 2014 and 2015. This is a very significant amount which could mark an important step in the digitalisation of a sector which currently lies at the tail end of the ranking of sectors in this field, according to the CaixaBank Sectoral Digitalisation Index 2020.3

Looking at the investments in more detail, we can distinguish between actions aimed at the agri-food sector and others more specific to the fisheries sector:

1) On the side of the agri-food sector, a convertible loan facility is to be opened through the public national innovation company (Empresa Nacional de Innovación S.A., or ENISA) for SMEs in the agri-food and rural sectors that propose innovative and digital projects. It also proposes creating a digital innovation hub to make it easier for businesses to adopt new technologies and to create an observatory to track the entire process of the sector’s digitalisation.

2) On the side of the fisheries sector, a battery of measures is envisaged, including aid for the digitalisation of the fishing fleet and the fishing surveillance services, as well as investments to modernise the Network of Marine Reserves of Interest for Fishing.

In short, the Plan envisages significant digital investments in the three sectors considered. While the areas of action appear to be adequate, the final impact will depend on the quality of the investments that are carried out. In this regard, coordination between the public and private sectors and independent assessments of the various investments will be important.

• 3. See https://www.caixabankresearch.com/en/document/20-july-2021/caixabank-sectoral-digitalisation-index-2020
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