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Manufacturing companies are facing rapid and unanticipated changes in their business environment. Most of these companies need to find new strategies to remain competitive in the market. Therefore, the main purpose of this study is to integrate the Fuzzy Analytical Network Process (ANP) and VIKOR methods to evaluate the green agile factors and sub-factors in the dairy companies in Iran. To find the green agile factors and sub-factors, this study used the expert’s opinions and literature review.
Authors:dr. Dalia ŠtreimikienėIERDdr. Tomas BaležentisIERDAhmad Bathaei Abbas Mardani Siti Rahmah Awang Goh Chin Fei Norhayati Zakuan
In order to ensure sustainable development of the modern economies, there is a need for transforming the linear economy model to circular or green economy model. Bioeconomycan contribute to this goal by ensuring the use of bioproducts and biotechnologies. The flow of material and energy in the bioeconomy is based on the use of biomass and renewable sources for food, feed, and materials production.
Impact assessment is an important tool for policymakers. Pursuing sustainable farming development, it is important to analyse and evaluate possibilities and obstacles of the implementation of sustainable farming practices. The development of new policies requires indepth analysis and a thorough assessment of the impact of already implemented policy measures (ex-post evaluation).
Authors:dr. Aistė GalnaitytėIERDdr. Virginia NamiotkoIERD Lina NovickytėIERD
This paper aims to adapt the social network analysis method to explore the characteristics of 59 cross-border e-commerce policies promulgated by the Chinese government from January 2013 to July 2018. On this basis, the paper quantitatively analyzes the internal structure and dynamic layout characteristics of sustainable cross-border e-commerce policy documents focusing on three dimensions: policy service contents, policy regulatory targets, and policy measures.
Authors:dr. Tomas BaležentisIERDdr. Dalia ŠtreimikienėIERDWeihua Su Yuying Wang Lan Qian Shouzhen Zeng
In this paper, Normalized Weighted Bonferroni Mean (NWBM) and Normalized Weighted Bonferroni Harmonic Mean (NWBHM) aggregation operators are proposed. Besides, we check the properties thereof, which include idempotency, monotonicity, commutativity, and boundedness. As the intuitionistic fuzzy numbers are used as a basis for the decision making to effectively handle the real-life uncertainty, we extend the NWBM and NWBHM operators into theintuitionistic fuzzy environment.
The paper performed comparative assessment of greenhouse gas (GHG) emission trends and climate change mitigation policies in the fuel combustion sector of selected EU member states with similar economic development levels and historical pasts, and implementing main EU energy and climate change mitigation policies, having achieved different success in GHG emission reduction.
Authors:dr. Justas ŠtreimikisIERDAsta Mikalauskienė Ignas Mikalauskas Gintarė Stankūnienė Rimantas Dapkus
Biogas production from animal manure offers many environmental, agricultural, energy security, and social-economic benefits. The growth of biogas from animal manure in Lithuania is limited. Currently, there are only 10 biogas plants in operation that have been installed on large-scale pig farms.
The new paradigm of innovative, sustainable and inclusive rural development calls for the search of new forms and approaches that might be applicable to explain the on-going transformations in the knowledge age. New rural policy stresses the focus on bottom-up approach, self-organization and cooperation between territorial government and local community.
Authors:dr. Rita VilkėIERDLigita Šarkutė
During last decades the essential shift occurred in the structure of the economy from industrial product-driven to the post-industrial service-driven economic system. A growing number of manufacturing firms throughout the world are shifting from selling goods to offering more and more services alongside their products. This movement is termed the “servitization”.
This article is aimed at identification of the shadow economy’s causal factors and indicators in 19 Eurozone member states over the period from 2005 to 2016. Application of the MIMIC model has allowed to identify the following causal factors of the shadow economy in the Eurozone: employment rate, gender wage gap and income inequalities (expressed as the GINI index).
Authors:Rita Remeikienė Gasparėnienė Ligita Viktoras Chadyšas Martin Cepel