Primary Environmental Data Quality Model: Proposal of a Prototype of Model Concept

Abstract: There is the short overview of the terms data quality and environmental information, following up the model definition in the paper. It introduces one such prototype of model -easy to implement, covering all modelling niches in environmental informatics and promising easy model knowledge sharing -it will be suitable to make a basis for appropriate model library. There is also discussed the use of the model and its role in the process of measurement of data quality. The concept is illustrated by the case study of the South Moravian region waste management data evaluation (realized by authors) and compared with the approach of the Ministry of Environment of the Czech Republic. Short conclusion suggests the future exploitation of possible new ways of dealing with the primary data uncertainty

CORPORATE PERFORMANCE INDICATORS FOR AGRICULTURE AND FOOD PROCESSING SECTOR

Abstract HŘEBÍČEK, J., POPELKA, O., ŠTENCL, M., TRENZ, O.: Corporate performance indicators for agriculture and food processing sector. Acta univ. agric. et silvic. Mendel. Brun., 2012, LX, No. 4, pp. 121-132 The research project: "Construction of Methods for Multi-factorial Assessment of Company Complex Performance in Selected Sectors", solved by author team, is introduced. Current trends of corporate performance evaluation (i.e. measurement of environmental, social, economic and governance (ESG) performance) and corporate sustainable reporting are discussed in the paper focused to agriculture and food processing sector. The relationship between environmental and sustainability indicators and corporate sustainability reporting is an important issue; and the development of advanced methods to identify key performance indicators for ESG performance is discussed here along with the possibility of the utilization of information and communication technology and XBRL taxonomy evaluating applications for the creation of business performance

Aplinkosaugos rodiklių nustatymas veiklai vertinti pagal ASV veiklos kriterijus ir investuotojų sprendimams paremti

This contribution deals with the construction of environmental indicators, serving investors for the assessment of complex performance of companies in accordance with social and corporate governance indicators, the so-called ESG performance indicators. The research project "Construction of Methods for Multifactor Assessment of Company Complex Performance in Selected Sectors", solved by the team of authors has been introduced. In recent years, investment managers have preferred the importance of ESG indicators showing long-term sustainable performance of those companies in which they have invested their financial resources. The objective of presented contribution is the proposal of environmental indicators, i.e. key ESG performance indicators. Environmental indicators are used not only for decision-making, but also for determination of sustainable value. A number of successive steps have been taken to construct environmental indicators and a combination of various statistical methods has been employed. An empirical analysis of environmental performance indicators for the companies operating in the processing industry according to CZ-NACE has been carried out on the basis of the analysis of sources, suggested by international organisations and voluntary environmental instruments. Environmental performance indicators, facilitating investors to decide on their investment activities and forming the part of key ESG-performance indicators, represent expected results of the empirical research

Optimization of parameters in the Menzerath–Altmann law

summary:Four formulas of the Menzerath–Altmann law are tested from the point of view of their applicability and suitability. The accuracy of related approximations of measured data is examined by the least square method at first. Then the accuracy of calculated parameters in the formulas under consideration is compared statistically. The influence of neglecting parameter $c$ is investigated as well. Finally, the obtained results are discussed by means of an illustrative example from quantitative linguistics

An Architecture for the Semantic Enhancement of Environmental Resources

Part 4: Semantics and EnvironmentInternational audienceThe vision of a Single Information Space in Europe for the Environment (SISE) requires seamless access to environmental resources, including data, models and services. Standardization organizations like OGC and OASIS have laid the foundations for interoperability on a syntactic level for many aspects of distributed environmental information systems (e.g. OGC SWE for sensor information). At the same time, the EC has undertaken a considerable effort to commit European stakeholders to offering their environmental information in such a way that it is accessible by interested parties, both on the scientific level by supporting research projects, like ORCHESTRA and SANY, and on the legal level by introducing directives (such as the INSPIRE directive). This development, amongst others, has led to the present situation in which a large number of environmental information sources are available. However, to implement the vision of the SISE it is not enough to publish resources. Environmental information must be discoverable, and it must be ‘understandable’ in different contexts in order to be used effectively by parties of various thematic domains. Therefore, in order to foster the implementation of SISE, semantic interoperability is a necessary element. Key to semantic interoperability is the presence of meta-information which describes the concepts of the environmental resources. Producing this meta-information puts a heavy technological burden on the individual resource providers such that it seems unlikely that enough semantic meta-information will ever be made available to reach semantic interoperability and thus accomplish the vision of SISE unless other ways to provide this essential meta-information are found. In this paper we introduce an architecture, developed in the FP7 project TaToo (247893), which tries to overcome the aforementioned obstacles by providing the possibility to easily annotate and rate environmental information resources, even by parties which do not own the resource, and transparently equipping this information with domain knowledge and thus enhancing discoverability and usability of resources with semantic technologies. The objective of the architecture is to seamlessly blend in with existing infrastructures by making use of de facto standards while offering support for discovery, annotation and validation of environmental resources through open interfaces