The relevance of innovation as an engine of economic growth has never been denied, but the main emphasis has typically been placed on the manufacturing sector. A key step in this direction is the carrying out of innovation surveys that include the tertiary sector. Along these lines, the aim of this article is to provide evidence about the innovative character of services in Spain. Drawing on the Third Community Innovation Survey (CIS 3) for Spain, we use factor and cluster analyses to demonstrate that services do innovate, and to locate these activities in the production system.

Although the attention of innovation studies has traditionally been focused on manufacturing, the differential features of innovation activities carried out by services are gaining more and more relevance in innovation research. The aim of this paper is to thoroughly analyse the data from the Spanish Innovation Survey 2000, the first large-scale innovation survey that included service activities in Spain, in order to identify the main patterns of innovation in Spanish services. The results of our investigations confirm that a high degree of heterogeneity, in relation to innovation patterns, exists among service firms and among service industries as well. Nevertheless, important similarities are found between pioneer classifications, such as the theoretical taxonomy of service industries by Soete and Miozzo (1989) Soete, L. and Miozzo, M. 1989. “Trade and Development in Services: A Technological Perspective”. The Netherlands: MERIT Research Memorandum, 89-031. MERIT. [Google Scholar] or the classification of service firms elaborated by Hollenstein (2003) Hollenstein, H. 2003. Innovation modes in the Swiss service sector: a cluster analysis based on firm-level data. Research Policy, 32(5): 845–863. [Crossref], [Web of Science ®] [Google Scholar] , and the taxonomy we obtained by applying multivariate analysis.

The effects of information and communication technology (ICT) on development have been studied primarily from the perspective of their contributions to a country’s economic growth. However, ICT can offer individuals much more than just monetary income—it can improve many aspects of their quality of life. In fact, according to the human development paradigm, income is only one resource that helps individuals to satisfy their economic needs. Using the capabilities approach as a theoretical framework, this study applied data panel technique to a sample of 145 countries to investigate how the use and adoption of ICT, by individuals, enterprises, and governments, affects human development, as measured by the Social Progress Index and Human Development Index (HDI). The results show that regardless of a country’s level of development, the individual use of ICT has a positive impact on human development; especially on the dimensions measured by HDI (having a long and healthy life, being knowledgeable, and having a decent standard of living). Furthermore, the use of ICTs for commercial purposes has a positive impact on human development at the global level, but if we make the analysis considering only developed countries, the relationship of this variable with human development is no longer significant. Regarding the impact of government use of ICT on human development, it has been verified that it is significant on developed countries. This study can be used as a tool by policymakers, especially in developing countries, to reinforce their intentions to support the use and implementation of ICTs.

Climate change is a major global concern closely related to the strategies aimed at reducing energy consumption and increasing energy efficiency. Over the last decades, the interest in the development of renewable energy (RE) has grown exponentially. In the case of the European Union (EU), the Renewable Energy Directive sets rules to achieve a 32% of total energy consumption to be covered through RE by 2030. In order to achieve this goal, it is important to know what are the main driving factors of RE consumption (REC). This study aims to analyze the impact of economic and social factors on the share of REC in total energy consumption in the EU over the period 2001–2015. For doing so, we estimate a Panel Corrected Standard Error (PCSE) model. The results obtained show that economic factors have a negative effect on REC. In contrast, social factors like education exert a positive effect. This suggests that it is necessary to adopt a holistic approach that includes not only economic but also social aspects in order to foster REC.

<!--field: Abstract-->Knowledge-intensive business services (KIBS) have received great attention over the last years, in part due to their similarities with high-innovative manufacturing firms. Nevertheless, many innovations carried out by KIBS are of a soft nature. The objective of this paper is to identify patterns of innovation in KIBS firms when non-technological innovation is taken into account. To do so, we employ microdata for 1,837 Spanish KIBS firms. The results obtained show that there are important differences in the innovation behaviour of KIBS firms. In particular, four innovation modes are distinguished: hard innovation, soft innovation, lonely innovation and knowledge diffusion. These modes are evenly distributed within KIBS industries and in three out of the four modes soft innovation plays a relevant role. JEL codes: L84, O39 <!--field: -->