Focus and Application Options

LIAISE Policy Brief No. 5 on "Scientific tools in Europe: focus and application options" has just been published. Policy Impact Assessment (IA) has been an obligatory procedure in the legislative process within the EU since 2002. It has to identify the likely impacts on sustainable development (specifically the social, environmental and economic impacts) of all major policy strategies and instruments prior to actual implementation. The link between IA and sustainable development is rooted in the 2006 renewed Sustainable Development Strategy. IA also provides the legal basis to feed scientific evidence into the policy process and to base policy-making on scientifically robust tools and results. In line with the recognition of the importance of IA for sound sustainable policies, the EC (DG Research and Innovation) has funded through the Framework Programmes (FP) 6 and 7 research supporting knowledge creation in this field. This policy brief presents an analysis of tools developed in the context of FP6 and FP7 undertaken by the LIAISE project. This assessment focused on the following interests of IA practitioners as tool users: Which policy area(s) do the tools address? Which impact area(s) are covered by the tools? Which jurisdictional level(s) can the tools be applied at? How can the tools be categorized? There exists a wide variety of tools that comprises: Quantitative and qualitative tools, such as models, scenarios, multi-criteria analysis and participatory tools, Tool components, such as indicators, databases and comprehensive analytic methods, Evaluation frameworks, toolboxes and platforms etc. serving as a higher level system for tool selection or tool linkage. These results are based on an analysis of 203 research projects designing tools for IA funded in FP6 and 7. The results shall contribute to addressing the science-policy interface of IA by identifying possible challenges for tool users and tool suppliers with respect to tool development and selection

A Dual-Frequency Series-Fed Patch Array Antenna

Abstract-A novel dual-frequency concept for series-fed microstrip patch array antennas is proposed. An identical near field distribution following an identical far field characteristic was achieved at two different frequencies. The conventional series fed array comes with a uniform aperture distribution for patches of same width. By exploiting the dispersion of this periodic structure the same cosine aperture distribution at two different frequencies is obtained. Due to the cosine aperture distribution a low side lobe level of 23 dB is intrinsically achieved for the two operating frequencies, 23 GHz and 25 GHz. This concept is particularly suited for small frequency ratios (f+/f− < 1.3)

Autonomic neuropathy predisposes to rosiglitazone-induced vascular leakage in insulin-treated patients with type 2 diabetes: a randomised, controlled trial on thiazolidinedione-induced vascular leakage

Contains fulltext : 88447.pdf (publisher's version ) (Closed access)AIMS/HYPOTHESIS: The mechanism of fluid-related complications caused by thiazolidinedione derivatives is unclear. One potential mechanism is thiazolidinedione-induced arterial vasodilatation, which results in vascular leakage and a fall in blood pressure, normally counterbalanced by sympathetic activation and subsequent renal fluid retention. We hypothesised that thiazolidinedione-induced vascular leakage will be particularly prominent in patients with autonomic neuropathy. METHODS: We conducted a randomised, double-blind, placebo-controlled, parallel study in 40 patients with type 2 diabetes on insulin treatment recruited from a university medical centre. The randomisation was performed by a central office using a randomisation schedule. Both treatment groups, placebo (n = 21) and rosiglitazone (n = 19), were stratified for sex and level of autonomic neuropathy as assessed by Ewing score (or=2.5). We investigated the effects of 16 weeks of treatment with rosiglitazone 4 mg twice daily on vascular leakage (transcapillary escape rate of albumin, TERalb), body weight, extracellular volume and plasma volume. RESULTS: Thirty-nine patients were included in the analysis. In patients with high Ewing scores (n = 16), rosiglitazone increased TERalb significantly (DeltaTERalb: rosiglitazone +2.43 +/- 0.45%/h, placebo -0.11 +/- 0.15%/h, p = 0.002), while rosiglitazone had no effect in the patients with low Ewing scores (n = 23). Rosiglitazone-induced increases in TERalb and Ewing score at baseline were correlated (r = 0.65, p = 0.02). There was no correlation between Ewing score and rosiglitazone-induced changes in fluid variables. One subject was withdrawn from the study because of atrial fibrillation. CONCLUSIONS/INTERPRETATION: Rosiglitazone may increase vascular leakage in insulin-treated patients with type 2 diabetes with autonomic neuropathy. Autonomic neuropathy did not exaggerate rosiglitazone-induced fluid retention. Therefore, autonomic neuropathy should be considered as a risk factor for thiazolidinedione-induced oedema, not for thiazolidinedione-induced fluid retention. TRIAL REGISTRATION: ClinicalTrials.gov NCT00422955. FUNDING: GlaxoSmithKline.1 september 201

‘Better late than never’: the interplay between green technology and age for firm growth

This paper investigates the relationship between green/non-green technologies and firm growth. By combining the literature on eco-innovations, industrial organisation and entrepreneurial studies, we examine the dependence of this relationship on the pace at which firms grow and the age of the firm. From a dataset of 5498 manufacturing firms in Italy for the period of 2000–2008, longitudinal fixed effects quantile models are estimated, in which the firm’s age is set to moderate the effects of green and non-green patents on employment growth. We find that the positive effect of green technologies on growth is greater than that of non-green technologies. However, this result does not apply to struggling and rapidly growing firms. With fast-growing (above the median) firms, age moderates the growth effect of green technologies. Inconsistent with the extant literature, this moderation effect is positive: firm experience appears important for the growth benefits of green technologies, possibly relative to the complexity of their management

Sustainability, innovation, and efficiency:A key relationship

Sustainability has become the emerging goal for countries, companies, and people. Sustainability usually refers to the need to develop models necessary for both human beings and our planet to survive. However, sustainability is not a short-term problem; it is above all a long-term issue, posing intergenerational equity problems. Moreover, sustainability needs efficiency. The efficient use of energy, natural, material, and informational resources is vital for sustainability and sustainable development, which should be the major goal of every country, as established in Rio in 1992, and reaffirmed at Rio+ 20 in 2012. But any strategy aiming at sustainability and efficient use of resources must focus on innovation and technological progress. Consequently, innovation is fundamental to making sustainability possible and improving efficiency. Yet, innovation for sustainability must be environmentally friendly (e.g., green technologies). The principle behind such a strategy is better instead of more. This paper aims at highlighting the key relationship among sustainability, innovation, and efficiency. First, it examines the concept of sustainability, looking at the neoclassical literature on sustainability and its relationship with innovation. Then, it analyzes different theoretical approaches and discusses the policy issues for sustainability where innovation, natural capital, human capital, population, and institutions are fundamental factors

A framework to move forward on the path to eco-innovation in the construction industry: implications to improve firms´ sustainable orientation

This paper examines key aspects in the innovative behavior of the construction firms that determine their environmental orientation while innovating. Structural equation modeling was used and data of 222 firms retrieved from the Spanish Technological Innovation Panel (PITEC) for 2010 to analyse the drivers of environmental orientation of the construction firms during the innovation process. The results show that the environmental orientation is positively affected by the product and process orientation of construction firms during the innovation process. Furthermore, the positive relation between the importance of market information sources and environmental orientation, mediated by process and product orientation, is discussed. Finally, a model that explains these relations is proposed and validated. Results have important managerial implications for those companies worried about their eco-innovative focus as the types of actions and relations within firms most suitable for improving their eco-innovative orientation are highlighted.The authors would like to thank the Spanish Economy and Competitiveness Ministry for its support through the research project (EC02011-27369) and also the Universitat Politecnica de Valencia (SP20140647).Segarra Oña, MDV.; Peiró Signes, A.; Cervelló Royo, RE. (2015). A framework to move forward on the path to eco-innovation in the construction industry: implications to improve firms´ sustainable orientation. Science and Engineering Ethics. 21(6):1469-1484. https://doi.org/10.1007/s11948-014-9620-2S14691484216Amara, N., & Landry, R. (2005). Sources of information as determinants of novelty of innovation in manufacturing firms: evidence from the 1999 statistics Canada innovation survey. Technovation, 25(3), 245–259.Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two- step approach. Psychological Bulletin, 103(3), 411–423.Ang, G. K. I. (2004). Competing revaluing construction paradigms in practice. Rotterdam: CIB.Audet, R., & Guyonnaud, M. F. (2013). Transition in practice and action in research. A French case study in piloting eco-innovations. Innovation: The European Journal of Social Science Research, 26(4), 398–415.Bagozzi, R., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 18(1), 74–94.Barclay, D., Higgins, C., & Thompson, R. (1995). The partial least square (PLS) approach to causal modelling: Personal computer adoption and use as an illustration. Technology Studies, Special Issue on Research Methodology, 2(2), 285–309.Barrett, P. (2007). Revaluing construction: A holistic model. Building Research and Information, 35(3), 268–286.Barrett, P., & Lee, A. (2005). Revaluing construction: A CIB priority theme, Salford Centre for Research and Innovation. Salford/CIB: University of Salford, Rotterdam.Beamon, B. M. (2005). Environmental and sustainability ethics in supply chain management. Science and Engineering Ethics, 11(2), 221–234.Burciu, A., Bostan, I., Condrea, P., & Grosu, V. (2010). Financing the environmental policies in the communitarian space. Environmental Engineering and Management Journal, 9(9), 1179–1185.Carrascosa-López, C., Peiró-Signes, Á., & Segura-García-del-Río, B. (2012). Does it pay to be greener than legislation? An empirical study of spanish tile industry. Journal of Sustainable Development, 5(5), 17–26.Carter, T., & Fowler, L. (2008). Establishing green roof infrastructure through environmental policy instruments. Environmental Management, 42(1), 151–164.Cervelló-Royo, R., Garrido-Yserte, R., & Segura-García del Río, B. (2012). An urban regeneration model in heritage areas in search of sustainable urban development and internal cohesion. Journal of Cultural Heritage Management and Sustainable Development, 2(1), 44–61.Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–358). New Jersey: Lawrence Erlbaum Associates.Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A partial least squares latent variable modelling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic mail emotion/adoption study. Information Systems Research, 14(2), 189–217.Commission, European. (2004). Facing the challenge: The Lisbon strategy for growth and employment Brussels. Brussels: European Comission.Commission of the European Communities (2006). Action Plan for Energy Efficiency: Realising the Potential, Brussels. http://ec.europa.eu/energy/action_plan_energy_efficiency/doc/com_2006_0545_en.pdf . (Accessed 31/01/2014).Courtney, R., & Winch, G. (2002). CIB strategy for re-engineering construction. Rotterdam: CIB.Courtney, R., & Winch, G. M. (2003). Re-engineering construction: The role of research and implementation. Building Research and Information, 31(2), 172–178.Davis, M. (2001). The professional approach to engineering ethics: Five research questions. Science and Engineering Ethics, 7, 379–390.Ding, G. K. C. (2008). Sustainable construction. The role of environmental assessment tools. Journal of Environmental Management, 86(3), 451–464.Du Plessis, C., & Cole, R. J. (2011). Motivating change: Shifting the paradigm. Building Research and Information, 39(5), 436–449.Esty, D. C., & Winston, A. S. (2006). Green to gold, how smart companies use environmental strategy to innovate, create value, and build competitive advantage. Hoboken: Wiley.European Commission (2010) Europe 2020: A strategy for smart, sustainable and inclusive growth, Brussels.Falk, R., & Miller, N. (1992). A primer on soft modelling. Akron: The University of Akron Press.Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 328–388.Freeman, R. E. (1994). The politics of stakeholder theory: Some future directions. Business Ethics Quarterly, 4(4), 409–422.Gázquez-Abad, J. C., Huertas-García, R., Vázquez-Gómez, M. D., & Romeo, A. C. (2014). Drivers of sustainability strategies in Spain’s wine tourism industry. Cornell Hospitality Quarterly, 1938965514549657.Gebauer, H., Gustafsson, A., & Witell, L. (2011). Competitive advantage through service differentiation by manufacturing companies. Journal of Business Research, 64(12), 1270–1280.Geisser, S. (1975). A predictive approach to the random effect model. Biometrika, 61(1), 101–107.González-Benito, O., & González-Benito, J. (2008). Implications of market orientation on the environmental transformation of industrial firms. Ecological Economics, 64(4), 752–762.Henseler, J., Ringle, C., & Sinkovics, R. (2009). The use of partial least square path modelling in international marketing. In I. Rudolf, R. Sinkovics & N. Pervez (Eds.), Advance in international marketing (Vol. 20, pp. 277–319).Hill, S., & Lorenz, D. (2011). Rethinking professionalism: Guardianship of land and resources. Building Research and Information, 39(3), 314–319.Huedo, P., & Lopez-Mesa, B. (2013). Review of tools to assist in the selection of sustainable building assemblies. Informes de la Construcción, 65(529), 77–88.IPCC. (2007a). Climate change 2007: The physical science basis. summary for policymakers: Contribution of working group i to the fourth assessment report of the intergovernmental panel on climate change. Geneva: IPCC.IPCC. (2007b). Mitigation. contribution of working group III to the fourth assessment report of the intergovernmental panel on climate change. Geneva: IPCC.Jensen, J. S., Gottlieb, S. C., & Thuese, C. L. (2011). Construction sector development: Frames and governance responses. Building Research and Information, 39(6), 665–667.Kibert, Ch J. (2007). The next generation of sustainable construction. Building Research & Information, 35(6), 595–601.Kim, Y., Brodhag, C., & Mebratu, D. (2014). Corporate social responsibility driven innovation. Innovation: The European Journal of Social Science Research, 27(2), 175–196.Kuhn, S. (2001). Commentary on: The greening of engineers: A cross-cultural experience. Science and Engineering Ethics, 7(1), 123–124.Lam, P. T., Chan, E. H., Chau, C. K., Poon, C. S., & Chun, K. P. (2011). Environmental management system vs green specifications: How do they complement each other in the construction industry? Journal of Environmental Management, 92(3), 788–795.Leimeister, S., Leimeister, J. M., & Knebel, U. (2009). A cross-national comparison of perceived strategic importance of RFID for CIOs in Germany and Italy. International Journal of Information Management, 29(1), 37–47.Leman, A., & Bordass, B. (2007). Are users more tolerant of green buildings? Building Research and Information, 35(6), 662–673.Liefferink, D., & Andersen, M. S. (1998). Strategies of the green member states in EU environmental policy-making. Journal of European Public Policy, 5(2), 254–270.Losada, B. (2013). Smart cities through the smart grid: The sustainable smart city and its energy dependence. DYNA, 88(2), 154–155.Luetzkendorf, T. (2010). Sustainable properties-dream or trend? Informes de la Construcción, 61(517), 5–15.Lützkendorf, T., & Lorenz, D. (2007). Integrating sustainability into property risk assessments for market transformation. Building Research and Information, 35(6), 644–671.Matthyssensa, P., & Vandenbempt, K. (2008). Moving from basic offerings to value-added solutions: Strategies, barriers and alignment. Industrial Marketing Management, 37(3), 316–328.McKeiver, C., & Gadenne, D. (2005). Environmental management systems in small and medium business. Small Business Journal, 23(5), 513–537.Nunnally, J. C., & Bernstein, I. H. (1995). Teoría psicométrica. México: McGraw-Hill.Parsa, H. G., Segarra-Oña, M., Jang, S. S., Chen, R., & Singh, A. J. (2014). Special issue on sustainable and eco-innovative practices in hospitality and tourism. Cornell Hospitality Quarterly, 55(1), 5–5.Pearce, D. (2006). Is the construction sector sustainable? Building Research and Information, 34(3), 201–207.Peiró-Signes, A., Miret-Pastor, L. L., Segarra-Oña, M. V., & De Miguel Molina, B. (2013). Analysing the determinants of better performance through eco management tools at the food industry: An empirical study. In P. Golinska (Ed.), Eco Production and logistics (pp. 73–90). Heidelberg: Springer.Peiró-Signes, A., Verma, R., Mondéjar-Jiménez, J., & Vargas-Vargas, M. (2014). The impact of environmental certification on hotel guest ratings. Cornell Hospitality Quarterly, 55(1), 40–51.Petruzzelli, A. M., Dangelico, R. M., Rotolo, D., & Albino, V. (2011). Organizational factors and technological features in the development of green innovations: Evidence from patent analysis. Innovation: Management, Policy and Practice, 13(3), 291–310.Porter, M. E., & Kramer, M. R. (2006). Strategy and society: The link between competitive advantage and corporate social responsibility. Harvard Business Review, 84(12), 78–92.Porter, M. E., & Van der Linde, C. (1995). Toward a new conception of the environment competitiveness relationship. Journal of Economic Perspectives, 9(4), 97–118.Rennings, K. (2002). Redefining innovation—Eco-innovation research and the contribution from ecological economics. Ecological Economics, 32(2), 319–332.Rennings, K., Ziegler, A., Ankele, K., & Hoffman, E. (2006). The influence of different characteristics of the eu environmental management and auditing scheme on technical environmental innovations and economic performance. Ecological Economics, 57(1), 45–59.Ringle, C. M., Wende, S., & Will, A. (2005). SmartPLS 2.0 M3. http:// www.smartpls.de .Sánchez-Ollero, J. L., García-Pozo, A., & Marchante-Mera, A. (2013). How does respect for the environment affect final prices in the hospitality sector? A hedonic pricing approach. Cornell Hospitality Quarterly, 55, 31–39.Schmidt, V. A., & Radaelli, C. M. (2004). Policy change and discourse in Europe: Conceptual and methodological issues. West European Politics, 27(2), 183–210.Segarra-Oña, M.D.V., M.Peiró-Signes, Á., Verma, R., & Miret-Pastor, L. (2012). Does environmental certification help the economic performance of hotels? Evidence from the spanish hotel industry. Cornell Hospitality Quarterly, 1938965512446417.Segarra-Oña, M. V., Peiró-Signes, A., Albors-Garrigós, J., & Miret-Pastor, P. (2011). Impact of innovative practices in environmentally focused firms: Moderating factors. International Journal of Environmental Research, 5(2), 425–434.Segarra-Oña, M. D. V., Peiró-Signes, A., & Mondéjar-Jiménez, J. (2013). Identifying variables affecting the proactive environmental orientation of firms: An empirical study. Polish Journal of Environmental Studies, 22(3), 873–880.Sharma, A., Thomas, D., & Konsynski, B. (2008). Strategic and institutional perspectives in the evaluation, adoption and early integration of radio frequency identification (RFID): An empirical investigation of current and potential adopters. Proceedings of the 41st Hawaii international conference on system science, Waikoloa, Big Island, Hawaii, USA (pp 407–420).Sigala, M. (2014). Customer involvement in sustainable supply chain management a research framework and implications in tourism. Cornell Hospitality Quarterly, 55(1), 76–88.Song, M., Peng, J., Liu, W., & An, Q. (2014). A PSBM model for environmental efficiency evaluation and its application. Polish Journal of Environmental Studies, 23(3), 893–900.Stern, N. (2006). The economics of climate change: The stern review. Cambridge: Cambridge University Press.Stone, M. (1974). Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society, 36, 111–147.Stone, G. W., & Wakefield, K. L. (2000). Eco-orientation: An extension of market orientation in an environmental context. Journal of Marketing Theory and Practice, 8(3), 21–31.Tenenhaus, M., Vinzi, V., Chatelin, J., & Lauro, C. (2005). PLS path modeling. Computational Statistics & Data Analysis, 48(1), 159–205.Tse, R. Y. (2001). The implementation of EMS in construction firms: Case study in Hong Kong. Journal of Environmental Assessment Policy and Management, 3(2), 177–194.Turner, R. K. (2006). Sustainability auditing and assessment challenges. Building Research and Information, 34(3), 197–200.Van Bueren, E., & De Jong, J. J. (2007). Establishing sustainability: Policy successes and failures. Building Research and Information, 35(5), 543–556.Vanasupa, L., Chen, K. C., & Slivovsky, L. (2006). Global challenges as inspiration: A classroom strategy to foster social responsibility. Science and Engineering Ethics, 12(2), 373–380.Vastag, G., Kerekes, S., & Rondinelli, D. A. (1996). Evaluation of corporate environmental management approaches: A framework and application. International Journal of Production Economics, 43(2–3), 193–211

Green process innovation: Where we are and where we are going

Environmental pollution has worsened in the past few decades, and increasing pressure is being put on firms by different regulatory bodies, customer groups, NGOs and other media outlets to adopt green process innovations (GPcIs), which include clean technologies and end-of-pipe solutions. Although considerable studies have been published on GPcI, the literature is disjointed, and as such, a comprehensive understanding of the issues, challenges and gaps is lacking. A systematic literature review (SLR) involving 80 relevant studies was conducted to extract seven themes: strategic response, organisational learning, institutional pressures, structural issues, outcomes, barriers and methodological choices. The review thus highlights the various gaps in the GPcI literature and illuminates the pathways for future research by proposing a series of potential research questions. This study is of vital importance to business strategy as it provides a comprehensive framework to help firms understand the various contours of GPcI. Likewise, policymakers can use the findings of this study to fill in the loopholes in the existing regulations that firms are exploiting to circumvent taxes and other penalties by locating their operations to emerging economies with less stringent environmental regulations.publishedVersio