A lasting crisis affects R&D decisions of smaller firms: the Greek experience.

We use the prolonged Greek crisis as a case study to understand how a lasting economic shock affects the innovation strategies of firms in economies with moderate innovation activities. Adopting the 3-stage CDM model, we explore the link between R&D, innovation, and productivity for different size groups of Greek manufacturing firms during the prolonged crisis. At the first stage, we find that the continuation of the crisis is harmful for the R&D engagement of smaller firms while it increased the willingness for R&D activities among the larger ones. At the second stage, among smaller firms the knowledge production remains unaffected by R&D investments, while among larger firms the R&D decision is positively correlated with the probability of producing innovation, albeit the relationship is weakened as the crisis continues. At the third stage, innovation output benefits only larger firms in terms of labor productivity, while the innovation-productivity nexus is insignificant for smaller firms during the lasting crisis.

GLOBALINTO input-output intangibles database: Industry-level data on intangibles for the EU-27 and the UK.

This paper presents the GLOBALINTO Input-Output Intangibles Database, that was constructed in the context of the Horizon2020 project 'GLOBALINTO: Capturing the value of intangible assets in micro data to promote the EU's Growth and Competitiveness'. The database is formulated under an input-output framework and treats intangibles as producer services that derive from certain knowledge producing sectors in the economy (namely J62-J63 - Computer programming, consultancy, and related activities; Information service activities, M72 - Scientific research and development, M73 - Advertising and market research, and N - Administrative and support service activities) and embeds them withing the context of global value chains (GVCs) as traded knowledge intermediates. Data include intangibles related variables for 56 2-digit NACE Rev. 2/ ISIC Rev. 4 sectors from the EU-27 and the UK and are complemented with export variables and R&D related statistics from Eurostat for the period 2000-2014. An application of the dataset can be found in the research article 'Intangibles, innovation, and sector specialization in global value chains: A case study on the EU's and the UK's manufacturing industries' [1] .

Action plan for the mitigation of greenhouse gas emissions in the hospital-based health care of the Hellenic Army.

Climate change is a growing threat for human health and well-being, one that will seriously impact and potentially disrupt all economic sectors and supply chains, such as trade, tourism, agriculture, forestry, and fisheries. The environmental impact of the delivery of medical and hospital care, which generates its own greenhouse gas emissions, needs to be examined and analyzed in detail in order to design and implement effective mitigation actions and measures. Hospital internal energy use processes include the energy consumed for hospital operation, such as lighting, heating, cooking, waste treatment, and other functions associated with the logistical and operational support of hospitals. The present research work, which follows the assessment undertaken in a previous study of the transport activities of the 401 Military General Hospital of Athens (401 MGHA), focuses on the carbon footprint of the stationary emission sources of the 401 MGHA; it serves as a second step in the development of an action plan for the mitigation of greenhouse gas emissions in the hospital-based health care of the Hellenic (Greek) Army. A portfolio of energy saving and emission reduction actions is proposed and mapped according to their abatement cost and greenhouse gas (GHG) reduction potential. The highest decrease of GHG emissions is expected to be materialized by the decarbonization of the Greek power sector due to the lignite phase-out and increased share of low carbon fuels and renewable energy sources. Significant emission reduction potential could also be achieved by the replacement of face-to-face hospital visits by telemedicine, primarily by reducing transport-associated emissions. Furthermore, a number of key performance indicators (KPI) are proposed as simple and easily monitored metrics of the hospital's performance towards its sustainable low carbon objectives. Specific KPIs per mitigation action are presented, as well as a general KPI that covers all mitigation actions and sources of emissions in the form of "tCO2eq per patient" or "tCO2eq per hospitalization day."

Questionnaire dataset: The Greek Smart Cities - Municipalities dataset.

The dataset was formulated through field research in the Greek Municipalities. The survey was undertaken with an online questionnaire (available in Greek) and the contact person was the Chief Digital Officer or a person with similar responsibilities. The final sample is 252 out of a total of 325 Municipalities. Each respondent had to answer to 26 questions, including sub-questions, of different types (1) 5-point Likert scale, (2) rating scale, (3) closed type "Yes/no", (4) open-ended and (5) dropdown, and, depending on them, there are 3 types of variables (1) ordinal, (2) nominal, and (3) scale variables. The concepts included in the questionnaire are a) the level of integration and use of digital technologies, b) the difficulties and the challenges municipality authorities face when trying to implement a smart strategy and c) the level of diverse collaborations and partnerships which are necessary in order to develop a strategy. The data can be used to analyse the strategic capabilities of the Greek Municipalities under the three concepts evaluated in the questionnaire. The data's primary beneficiaries include researchers, public authorities, digital platforms entrepreneurs, smart city specialists and smart city entrepreneurs, as they can use the dataset to develop models against already known results, to identify factors important in an urban strategy and to further study the correlations between the different factors, design and draft an urban strategy on real data.