Scientific publications

This paper estimates the shadow price of CO2 from burning maize straw in the Chinese agricultural sector and explores the related policy implications for decision makers. Using a quadratic directional distance function, we evaluate the production inefficiency and shadow prices of CO2 reduction for the seven major maize-producing provinces in China for 1996-2014. In general, the efficiency improves over time.

Understanding the relationships among CO2 emissions, energy consumption, and economic growth helps nations to develop energy sources and formulate energy policies in order to enhance sustainable development. The present research is aimed at developing a novel efficient model for analyzing the relationships amongst the three aforementioned indicators in G20 countries using an adaptive neuro-fuzzy inference system (ANFIS) model in the period from 1962 to 2016. In this regard, the ANFIS model has been used with prediction models using real data to predict CO2 emissions based on two important input indicators, energy consumption and economic growth.

The measurement of sustainability is actively used today as one of the main preventative instruments in order to reduce the decline of the environment. Sustainable decision-making in solving energy issues can be supported and contradictory effects can be evaluated by scientific achievements of multi-criteria decision-making (MCDM) techniques. The main goal of this paper is to overview the application of decision-making methods in dealing with sustainable energy development issues.

Although many studies have focused on significant role of total quality management (TQM) in literature, little attention has been paid to using the fuzzy multiple criteria decision making (FMCDM) for analysis TQM factors especially in the context of hospitality. The purpose of this study is to identify, prioritize and evaluate the TQM critical success factors (CSFs) in hospitality industry by integrating the theory of fuzzy sets, quantitative and qualitative approaches.

The research aims to substantiate a construct of the scientific research which enables assess the associated agricultural producers' involvement in agricultural policy-making processes. Methods of scientific discourse analysis, survey of agricultural producers, statistical data analysis, systematization and synthesis of scientific insights were used. The theoretical background is based on analysis of management theories explaining a nature of inter-organizational interaction.

Since the 1990s, the volume of biogas produced in the world has been increasing. Biomethane (upgraded biogas) is a more versatile renewable fuel. Biogas transportation from production sites to upgrading facilities induces a scale advantage and an efficiency increase. Therefore, exploration of costs and energy use of biogas transportation using dedicated infrastructure is needed.

The concept of resilience has wide acceptance in different scientific doctrines and fields, from ecology to disaster management. Nowadays this phenomenon is being more and more intensively exploited in economic sciences in an attempt to measure the ability of economic systems to quickly regenerate from different external shocks or even to avoid them as such.

Lina Pareigienė Pareigiene, L. 2018. Rural community movement in Lithuania from the perspective of new social movement. In Management Theory and Studies for Rural Business and Infrastructure Development, Vol. 40, No 3, p. 369-378, DOI: https://doi.org/10.15544/mts.2018.35, eISSN 2345-0355, [Clarivate Analytics Web of Science Core Collection Emerging Sources Citation Index (ESCI); EBSCO; Business Source Complete; CAB Abstracts; Ulrich’s; DOAJ; OAJI; IndexCopernicus; ERIH PLUS; AcademicKeys.com; Google Scholar].

This article discusses the differences between incentives and forms of farmers’ collaboration in agrarian, industrial and post-industrial economies and introduces collaboration examples based on the concept of a two-sided networkas a new phenomenon appropriate for the post-industrial era.

Ecological Kuznets curve (EKC) reveals the relationship between GHG emissions and economic growth. However, there are other factors and different channels through which the economic growth affects environmental quality. Therefore, we aim to examine not only direct (scale) impact of previously analysed factors, such as GDP, trade, foreign direct investment (FDI), urbanization, industrialization, renewable energy consumption, and energy efficiency on GHG emissions, but also to model composition and technique effects of this impact.