Indicator-based evaluation of inter-linkages between different sustainable development objectives (INDI-LINK)

The INDI-LINK project has three main objectives: (1) further improvement of sustainable development indicators (SDI), (2) assessment of interlinkages between the different priorities of the EU SDS and (3) deriving conclusions for future SD policy making. To achieve these objectives, INDI-LINK will develop new concepts and methods and improve data for the calculation of selected 'best-needed' and proxy indicators; test different methods for extending indicator time series through forecasting; review emerging policy areas, for which no indicators exist so far; develop a solid conceptual framework for interlinkage assessment based on a comparative analysis of analytical frameworks, methods and tools; provide a quantitative analysis of interlinkages using select ed indicators with best-suited assessment methods and identify most effective combinations of environmental, economic and social policy measures, focusing on the maximum use of synergies and best possible mitigation of potential trade-offs. A series of 4 workshops will be organised, where representatives of relevant DGs and external experts will be involved. The INDI-LINK consortium has a well-established institutional balance and includes four university institutes, one national statistical institute, one public-private research institute and three private research institutions (SMEs). As INDI-LINK partners are coordinating or participating in a number of other relevant projects on the EU level, INDI-LINK will provide and make full use of synergies with projects such as MATISSE, Sustainability A-Test, SUSTOOLS, FORESCENE and MOSUS. The project will provide recommendations for priorities in future SDI development on the EU level, for future assessments of interlinkages and for an effective implementation of t he revised EU SDS, with a particular focus on policy integration across different SD dimensions.


Evaluation and forecasting of gas consumption by statistical analysis
Gorucu, FB; Gumrah, F (2004-02-01)
This study includes an approach to understand the factors affecting gas demand and to forecast gas consumption by multivariable regression analysis for the capital city of Ankara, Turkey. The process of the study is developing a statistical model and testing the model for the past years to understand how accurate it is. After obtaining the most reliable model, forecasting the gas consumption for the remaining days of 2002 and the year 2005 is performed. During the project, by the means of economical conditi...
Multivariate Forecasting of Global Horizontal Irradiation Using Deep Learning Algorithms
Vakitbilir, Nuray; Direkoğlu, Cem; Sustainable Environment and Energy Systems (2021-2-11)
Increasing photovoltaic (PV) panel instalments jeopardise the electrical grid frequency, especially in island countries, such as Cyprus. For a continuous growth in the PV instalments in Northern Cyprus as well as minimal usage of conventional energy sources in power generation, it is of utter importance for a grid manager to possess information on the energy production of PV panels, hence knowledge on received radiation, i.e. Global Horizontal Irradiation (GHI). Therefore, the prediction of GHI plays an ess...
Common agricultural policy regionalised impact - the rural development dimension (CAPRI-RD)
Öcal, Nadir(2013-4-30)
The Common Agricultural Policy Regionalised Impact – the Rural Development Dimension (CAPRI-RD) aims to develop and apply an operational, Pan-European tool including all Candidate and Potential Candidate countries to analyse the regional impacts of all policy measures under CAP Pillar I and II across a wide range of economic, social and environmental indicators, aligned with the CMEF. CAPRI-RD’s core contains consistently linked economic models at the NUTS 2 level, the CAPRI model for agriculture, and a new...
Optimal capital structure for build-operate-transfer power projects
Arıcı, Erdem; Arıkan, Metin S.; Department of Civil Engineering (2003)
Observing the deficiencies of traditional methods in meeting the demands of today̕s infrastructure development has been motivating countries towards privatization of these sectors. However, due to the differences in these sectors as compared to other businesses, privatization can not be performed without strict regulations. Today, concession agreements like BOT models seem the best way for solving the problems. Financing of concession agreements plays a key role. In Turkey, most BOT projects are financed by...
Overconfidence and bubbles in experimental asset markets
Şahin, Serkan; Küçükkaya, Halit Engin; Yılmaz, Özlem; Department of Business Administration (2013)
The aim of this study is to investigate uncertainty levels of industries and explore those financial ratios that have the highest information content in determining the set of industry characteristics and use the most informative ratios selected in developing industry specific financial distress models. First, we employ factor analysis to determine the set of ratios that are most informative in specified industries. Second, we use entropy method as a Multiple Attribute Decision Making Model, to measure the ...
Citation Formats
H. S. Kalaycıoğlu, “Indicator-based evaluation of inter-linkages between different sustainable development objectives (INDI-LINK),” 2006. Accessed: 00, 2020. [Online]. Available: