In traditional terms, the level of service development has a significant impact on the level of overall socio-economic development. The service sector contributes to the socio-economic development of a country and regions through the creation of new jobs, increased income and through meeting the needs of the residents (Illeris 1996). Changes taking place in modern economies necessitate changes in the role of services. These changes are contingent on economic processes that are the result of,
The aim of the article is:
To identify modern services in the light of relevant literature; To attempt to construct a model of the impact of services on economic development; To analyse the level of development of modern services in the EU member states, and To empirically verify the model of the impact of those services on economic development in the EU member states. The empirical analysis was carried out with the application of statistical data from the Eurostat database.
The starting point of this analysis was the identification of modern services. The literature on the subject uses such terms as: new, innovative and modern services. These concepts, although not synonymous, are often used interchangeably. It is worth noting, however, that the term new services is usually understood as pertaining to the services that have emerged relatively recently. Novelty is something that has just been invented or made, something that has functioned in a given environment for a short time. At this point, it is also necessary to differentiate between novelty at the scale of an enterprise (micro scale) and novelty on the market (macro scale). Something that will be new to one company may have existed for a long time in another. A similar situation applies to the macro scale. It is also worth taking into account the fact that something may or may not be new because of the reference point. In many stores in Poland the possibility of ordering purchases electronically is a new service, although stores in many countries of Western Europe or the United States have offered online sales for some time now. Menor et al. (2002) define a new service as an offer that has been previously unavailable to the company’s customers, resulting from adding it to an earlier portfolio of services or changing the concept of services. Because the relevant literature perceives services as a series of interactions between participants, processes and material elements, changes in any of these elements trigger the “newness” of a service. According to scholars, all changes in the concept of a service which require skills different from earlier ones can be considered a new service. Authors also point out that a “new” service offer (i.e. what is offered) as well as changes in the service concept (how it is offered) should be taken into account. However, this approach requires the division of new services according to the degree of changes taking place. In terms of the degree of novelty, new services, just like innovative services, can be classified as radical and incremental. Radical ones are those new for the market, previously undefined, most often created as a result of ICT development, or new services in the company, which, however, are already provided on the market by other enterprises. Incremental ones concern the enrichment of the existing portfolio of services by adding new items (e.g. on the menu, new routes, courses), changes in the features of services already provided, or small changes that affect their reception by customers (Menor et al. 2002). New services can also be classified according to whether the “new” refers to the input, the process or the effect (output).
Innovation in relation to newness is a broader concept. It covers the entire process of transition from the idea through its implementation to the introduction of a new functionality into an enterprise. Innovation is therefore a commercial application of a new content (novelty). As in the case of novelties, innovations too can be considered at different scales. Depending on the reference point, a service can be innovative for a company or the market (if no company has previously introduced it). As in the case of product innovations, also in the case of services there are two types of innovations. Depending on the scale under consideration, we can divide them into radical and incremental (Garcia, Calantone 2002). Radical innovations are new services on the market, previously unknown, undefined, which are most often created as a result of new technologies (especially in the ICT sector). Incremental innovations usually consist in extending the existing services portfolio by adding new elements, changing the forms of distribution. Most often (as in the case of products), radical service innovations have the character of supply-driven innovations (and are created thanks to the development of ICT), while incremental innovations are demand-driven, imposed by customers’ expectations.
Services are not prone to innovation to the same degree. The diffusion of technological progress in the service sector is characterised by its uneven spread in various types of services. This is due to the heterogeneity and associated principles of development of individual services and the role which work and capital play in them (Szukalski 2001). In the relevant literature, we find many typologies of services classified according to the degree of susceptibility to innovations. These include, e.g. a ‘sectoral innovation styles typology’ by Soete and Miozzo (1990) or a ‘sectoral innovation patterns typology’ by Den Hertog and Bilderbeek (1999), and in Polish literature on the subject – Rogoziński (2004). The prevalent view expressed by the authors is that the so-called “supplier-oriented” services, e.g. personal services, hotels, restaurants, and trade are less susceptible to innovation. Knowledge-based services and those related to business operations are definitely more susceptible to innovation. In the context of the susceptibility of services to innovations, one should also mention the category of Knowledge Intensive Services. These are services whose important element is knowledge constituting their source (input). It is also important to be able to use the outcome of the service process / service activity as a contribution to the production process. Hence their high susceptibility to changes and innovations.
The term ‘modern service’ has a slightly different dimension. Greater importance is attributed here to technological progress (Mishra et al. 2011). Modern is progressive; as the name implies, it is appropriate for modern times. Therefore, in the era of dynamic development of ICT and an increase in the importance of knowledge in the economy, it seems fit and proper to see modern services as services that are knowledge-intensive and, in addition, “appropriate to the new times”, i.e. subject to dynamic development. The classification of services into traditional and modern also often involves a criterion of the dynamics of the increase in the share of services in generating GDP. This approach is exemplified by Eichengreen’s typology (2009). He distinguishes as follows:
A review of the literature on the subject leads to the conclusion that, in addition to the susceptibility to technological progress, a dynamic service development is the second criterion that differentiates services. By applying these two criteria, identification of modern services was made, which will be subject to detailed analyses later in the study. Modern services are thus treated as services which meet two criteria. First of all, it was assumed that these are services belonging to the group of so-called knowledge-intensive services (KIS). The advantage of adopting these assumptions is that these services occur in official business classifications (NACE, PKD), thanks to which it is possible to obtain the statistical data necessary for analysis. The second criterion for distinguishing modern services is their dynamic development expressed by an increase in their share in the structure of services according to the employment measure The dynamics index was calculated for the EU countries in the years 2004–2014.
Modern services play an important role in socio-economic development in the era of a knowledge-based economy. In the modern economy, the driving force behind development is the creation and skilful use of knowledge. Knowledge has always been important for development, yet today it is an important tool for increasing the level of innovation and the most important source of competitive advantage. A review of the literature on the subject leads to the conclusion that the most important development factors include the following:
Human capital, constituting a source and an important link of knowledge transfer to the economy, Social capital, playing a key role in the process of knowledge transfer and the process of mutual learning, An innovative environment which, through the generation and transfer of innovation, determines innovative activity, Business support, facilitating the operation of modern enterprises on the market, and The availability of financial capital which helps, among others, to finance innovative activities. Comparisons of the above factors of the development of modern economies as well as earlier arrangements related to modern services have allowed constructing an impact model of modern services on the process of socio-economic development in the era of a knowledge-based economy. This model has emerged as a result of a simultaneous application of criteria and factors of modern development: human capital, innovative environment, business service infrastructure, financial capital and economic climate, as well as distinguished modern services, including: research and development services, educational and medical services, professional services (and business services), financial services and administrative services (Fig. 1).
Fig. 1
Model of the impact of modern services on socio-economic development.
Source: own study.

According to this model, the impact of modern services on the knowledge-based economy involves the following relations:
R&D generates innovation and influences its transfer to the economy (Aydalot, Keeble 1988; Capello, Nijkamp 2009; Uppenberg 2009); educational and medical services are responsible for human capital development in the area of qualifications and skills – the teaching of management-level personnel (higher education institutions) and life-long learning (training) (Camagni 1991; Becker, Gary 1993; Pakulska 2005; Lundvall 2000; Chojnicki, Czyż 2006; Markowski, Drzazga 2008); professional services create an infrastructure that supports the development of the modern economy – business services (real estate, activity of advisory centres, information centres, tax and legal services, etc.) (Werwicki 1998; D. Keeble et al. 1999; Longhi 1999; Kłosiński 2000); financial services are of key importance in terms of acquiring financial capital (banking and shadow banking institutions) (e.g. Berger, Udell 2002). self-government authorities and their policies, as well as of various types of organisations and associations supporting development plays important role in developing an adequate climate of economic activity (social climate).
In the context of the impact on the development of the modern economy, research and development services will be of basic importance in shaping the adequate innovation environment. Their primary task will be to generate innovation and services of various types of intermediary institutions in the transfer of these innovations to the economy, i.e. their commercialisation. Human capital, which is a key factor in the development of a knowledge-based economy, is considered from the point of view of the role of educational services in shaping qualifications and skills. In addition, the impact of medical services is taken into account. The functioning of the business environment will be mainly influenced by professional services, such as, for example, consulting, marketing or legal and accounting services. Financial capital, on the other hand, is analysed from the perspective of the services of institutions ensuring its availability, i.e. dealing with granting preferential loans, offering loan guarantees as well as other financial services. Creating an adequate climate of economic activity (social climate) is the domain of self-government authorities and their policies, as well as various types of organisations and associations supporting development.
However, the above diagram, taking into account separate categories of factors (the innovative environment, business services, human capital, the social climate, and financial capital), is greatly simplified, because there is a network of interdependencies between these categories. A case in point is an innovative environment whose operation is largely dependent on financial capital (Churski, Dominiak 2012), as well as on human capital and the social climate. Similarly, the functioning of the innovation environment is also influenced by the level of professional services development (e.g. IT, marketing and advisory services). In the same way, you could analyse the dependencies between the other elements of the diagram. However, of fundamental significance – from the point of view of the objective of this analysis – is the impact of modern services on the formation of a modern knowledge-based economy through affecting the main categories of its development factors. It should also be noted that the highlighted modern services influence not only the formation of one of the factors which is assigned to them in the diagram of factor categories. For example, educational services have an impact not only on the development of human capital, but also on the remaining categories of factors – through the education of adequate labour resources – also for the innovative environment, business services and financial services. Similarly, professional and financial services are indispensable for the adequate operation of the business environment and for shaping a proper business climate. Also, the activity of self-government authorities can be considered in the context of not only shaping the economic climate, but also as helpful for shaping human and social capital, or in the context of the innovation strategy chosen. The diagram, then, is characterised by a large degree of generalisation and in a very simplified way depicts the most important relations between the elements analysed.
All the previously mentioned factors fostering the development of a knowledge-based economy are closely interlinked. These relations cover both the sphere of science responsible for generating innovations, the economy that implements them, and the organisations and self-government authorities supporting both the above processes. These relations are referred to by the triple helix concept (Etzkowitz, Leydesdorff 1995), in which cooperation between science, the economy and public authorities is to lead to the most optimal development conditions.
The following stage of the study consisted in an empirical verification of the model as operational in selected European Union member states in 2014. To this end, a set of features describing the level of development of previously distinguished modern services (input services) was collected in the first step. Levels of development of these services were used, including the availability of service facilities, their financing and employed staff. Due to a limited access to statistical data, the social capital factor and the services related to its development were not included in the empirical verification of the constructed model. The list of indicators used is included in Table 1.
Indicators of the level of development of modern services.
Type of services | Indicators – input services | Indicators – output services (development factors) |
---|---|---|
Education | Educational services | Human capital I |
Percentage of economically active teachers | Indicator of professional activity | |
Education expenditure in % of GDP | Percentage of persons with university degree | |
Scholarisation index | Percentage of economically active engineers and scientists | |
Percentage of students of technical faculties | ||
Percentage of people over 25 years of age participating in education (LL) | ||
Percentage of employees in the sector: Education | ||
Percentage of people using e-learning | ||
Medicine | Health services | Human capital II |
Medical staff in 100,000 residents | Average life expectancy by f/m | |
Health care expenses per capita (Euro) | The number of years lived in health by f/m | |
The percentage of employees in the sector: Health care and social welfare | ||
Research and development | Research and development services | Innovativeness |
GERD – total expenditure on R&D per capita (Euro) | Share of turnover from innovation | |
BERD – expenditure of enterprises on R&D per capita (Euro) | Percentage of innovative enterprises | |
Percentage of economically active people working in R&D | Patents per 1 million inhabitants | |
Finance | Financial services | Financial capital |
Percentage of employees in the sector: Financial intermediation | Gross value added per 1 employee in enterprises | |
No. of credit institutions per 1,000 businesses | Investments per 1 employee in enterprises | |
The percentage of employees in credit institutions | ||
Business services | Professional services | Business-conducive environment |
Percentage of ICT sector employees | The percentage of newly hired employees in general employment | |
Percentage of employees in professional services (section M) | Number of business entities per 1,000 inhabitants |
Source: own study.
The analysis of the spatial differences in the level of development of modern services applies the synthetic Perkal indicator To assess the innovation potential of regions the Perkal indicator has been used, e.g. by Nowakowska, Feltynowski (2009: 11–14). – synthetic indicator, – 1, 2,…, p, – the number of features considered, – a standardised value of the jth characteristic for the ith object.
The use of the synthetic index required in the first place the standardisation of values of indicators describing the intensity of individual features. The standardisation for stimulant characteristics was based on the following formula:
– a standardised value of the jth characteristic for the ith object, – the value of the jth characteristic for the ith object, – mean values of jth features, – standard deviation value of the jth features.
The standardisation of indicator values helped to create a matrix of standardised variables, which were used in the calculation of synthetic indicators (WS) for 2014. Based on the spread of values of synthetic indicators, the scale of diversification in the level of development of modern services in selected European countries was determined.
In the analysis of spatial diversification of the level of development of modern services in the selected European countries, a summary index of the level of modern service development (WS) and partial indicators (WC1, WC2, WC3, WC4, WC5) were used, corresponding to the five distinguished types of modern services: educational, medical, research and development, professional services (for business), and financial services. The results of the classification of European countries according to the value of the synthetic level indicator for the development of modern services are presented by the cartogram (Fig. 2) and Table 2. The Scandinavian countries: Sweden, Finland and Denmark as well as Luxembourg, are characterised by the highest level of development of modern services. High values of the synthetic index were also recorded in Belgium, the Netherlands, Austria, Germany, and Ireland. In the case of the Scandinavian countries, their high position was determined by the high level of development of R&D, education and business services. Germany and Austria, on the other hand, are characterised by a high level of development of medical services. Luxembourg is the unquestionable leader in terms of the level of development of financial services. The lowest level of development of modern services is characteristic of the countries of Central and Eastern Europe: Romania, Bulgaria, Poland, Hungary, and Slovakia.
Countries with the highest and lowest levels of development of selected modern services.
Educational services | Health services | Research and development services | Financial services | Business services | |
---|---|---|---|---|---|
The highest level of development | Sweden | Sweden | Denmark | Luxembourg | Sweden |
The lowest level of development | Slovakia | Hungary | Poland | Slovakia | Slovakia |
Source: own study based on data from the Eurostat database.
Fig. 2
The level of development of modern services in the EU member states in 2014.
Source: own study based on data from the Eurostat database.

In the second step, a similar procedure was used in relation to the characteristics that describe the growth factors (output) (Table 1). At the final stage of the research procedure, these results were compared against the synthetic indicator of the level of development of the modern economy, calculated using three features: share of HTM (High Technology Manufacturing) employees in total employment (%), share of high-tech exports in total exports (%), Gross Domestic Product per capita Taking into account, apart from GDP, the high technology industry indicators was connected with the necessity of consideration of the level of a modern, knowledge-based economy.
The correlation coefficients between the level of development of modern services and development factors and the level of socio-economic development.
Modern services | Correlation coefficient between services and: | Growth factors | Correlation coefficient between factors of GDP per capita | Level of socio-economic development |
Educational services | 0.80 | Human capital | 0.64 | |
Health services | 0.46 | 0.42 | ||
Financial services | 0.49 | Financial capital | 0.75 | |
Business services | 0.62 | Business environment | 0.48 | |
R&D Services | 0.82 | Innovative environment | 0.74 |
Source: own study based on data from the Eurostat database.
The analysis conducted leads to the following conclusions:
The highest level of the development of modern services can be identified in the Nordic countries, as well as in Germany, Austria, Ireland, and the Low Countries. A similar distribution can be found in the level of development of the modern economy (measured by the synthetic indicator). Sweden, Finland and Denmark have by far the highest level of development of educational and research and development services. In terms of medical services, the countries with the highest level of development, next to the Scandinavian countries, include Germany and Austria, while the highest level of business services can be found in the United Kingdom. Luxembourg is the unquestionable leader in the level of development of financial services. A verification of the model of impact of modern services on economic development allows the conclusion that the major growth factors of the modern economy are: innovation and material capital. An important role is played also by human capital (especially in the field of education). The results of the empirical analysis confirm assumptions about a strong impact of modern services on economic development. A particular role is played here by the R&D services (contributing to innovation) and financial services, which ensure access to financial capital, necessary in the development process. Moreover, correlation analysis confirms the importance of educational services in the development of human capital and by extension – in economic development.
Fig. 1

Fig. 2

Countries with the highest and lowest levels of development of selected modern services.
Educational services | Health services | Research and development services | Financial services | Business services | |
---|---|---|---|---|---|
The highest level of development | Sweden | Sweden | Denmark | Luxembourg | Sweden |
The lowest level of development | Slovakia | Hungary | Poland | Slovakia | Slovakia |
Indicators of the level of development of modern services.
Type of services | Indicators – input services | Indicators – output services (development factors) |
---|---|---|
Education | Educational services | Human capital I |
Percentage of economically active teachers | Indicator of professional activity | |
Education expenditure in % of GDP | Percentage of persons with university degree | |
Scholarisation index | Percentage of economically active engineers and scientists | |
Percentage of students of technical faculties | ||
Percentage of people over 25 years of age participating in education (LL) | ||
Percentage of employees in the sector: Education | ||
Percentage of people using e-learning | ||
Medicine | Health services | Human capital II |
Medical staff in 100,000 residents | Average life expectancy by f/m | |
Health care expenses per capita (Euro) | The number of years lived in health by f/m | |
The percentage of employees in the sector: Health care and social welfare | ||
Research and development | Research and development services | Innovativeness |
GERD – total expenditure on R&D per capita (Euro) | Share of turnover from innovation | |
BERD – expenditure of enterprises on R&D per capita (Euro) | Percentage of innovative enterprises | |
Percentage of economically active people working in R&D | Patents per 1 million inhabitants | |
Finance | Financial services | Financial capital |
Percentage of employees in the sector: Financial intermediation | Gross value added per 1 employee in enterprises | |
No. of credit institutions per 1,000 businesses | Investments per 1 employee in enterprises | |
The percentage of employees in credit institutions | ||
Business services | Professional services | Business-conducive environment |
Percentage of ICT sector employees | The percentage of newly hired employees in general employment | |
Percentage of employees in professional services (section M) | Number of business entities per 1,000 inhabitants |
The correlation coefficients between the level of development of modern services and development factors and the level of socio-economic development.
Modern services | Correlation coefficient between services and: | Growth factors | Correlation coefficient between factors of GDP per capita | Level of socio-economic development |
Educational services | 0.80 | Human capital | 0.64 | |
Health services | 0.46 | 0.42 | ||
Financial services | 0.49 | Financial capital | 0.75 | |
Business services | 0.62 | Business environment | 0.48 | |
R&D Services | 0.82 | Innovative environment | 0.74 |
Effect of Regional Baric Systems on the Occurrence of Bioclimatic Conditions in Poland Effects of Geomorphological Processes and Phytoclimate Conditions Change on Forest Vegetation in the Pomeranian Bay Coastal Zone (Wolin National Park, West Pomerania) Changes of the Surface Area of Morskie Oko and Wielki Staw in the Tatra Mountains Vertical Variability of Night Sky Brightness in Urbanised Areas The Role of Geomorphosites in the Local Economy Development of the Carpathian and Sub-Carpathian Area of Vrancea County, Romania Generative Adversarial Approach to Urban Areas’ NDVI Estimation: A Case Study of Łódź, Poland Cartography and Analysis of the Urban Growth, Case Study: Inter-Communal Grouping of Batna, Algeria Impacts of Land Use Change on Landscape Structure and Ecosystem Services at Local Scale: A Case Study in Central Portugal The Increase in the Proportion of Impervious Surfaces and Changes in Air Temperature, Relative Humidity and Cloud Cover in Poland The Analysis of Fire Hotspot Distribution in Kalimantan and its Relationship With Enso Phases Patterns in the Multiannual Course of Growing Season in Central Europe Since the End of the 19th Century