Scientific publications

The European Union (EU) is an integrated alliance of equally treated Member States sharing mutual values, legal principles and markets. Close cooperation, deep integration and convergence are the major priorities for the EU. Anyway, these principles are not always reflected in the EU-wide policies which are implemented through financial support mechanisms.

This paper examines the possible Brexit scenarios and their impacts on the Common Agricultural Policy (CAP) of the European Union (EU) with particular focus on Lithuania. The paper outlines the scientific discourse on the imminent modifications of the CAP after the Brexit along with changes in the EU budget

According to van der Ploeg [1998], rural development consists of a “balance of changing and stable elements” and that continuity and change have always characterized rural development [Van der Ploeg, 1998]. What kinds of changes are common for rural development in developed countries at the beginning of the 21st century? In our opinion the most decisive factor of social, economic, technological and cultural transformation in the 21st century is knowledge, which has influence on all spheres of human life. Burton-Jones [1999] noted that the gap between rich and poor nations is accelerating under “knowledge capitalism”.

Sustainability is a key area of concern for manufacturing firms’ long-term success. However, the manufacturing industry has not been fully conscious of the potential sustainable values across manufacturing system. There is a need to better understand how companies can improve sustainable value creation. Recent research and practices have shown that sustainable operations can be one way to create sustainable values (e.g. economic, environmental and social).

This paper adopts data envelopment analysis, namely the range adjusted measure (RAM) which is based on the additive structure, to measure the technical efficiency and productivity change. Note that we distinguish among energy and non-energy inputs in the analysis.

Even though renewable energy development has gained momentum in China, thermal power generation still accounts for approximately 70% of the county's total power generation serving as the major source of carbon dioxide (CO2) emissions in China. Facing the challenges of meeting 2030 peak target of CO2 emission and realizing the coordinated development of thermal power generation in Beijing-Tianjin-Hebei region, this paper applies generalized Divisia Index Method (GDIM) to decompose the dynamics in the relevant CO2 emission.

Energy taxes are one of the main market-based tools directed toward mitigating climate change in the European Union (EU). Therefore, the aim of this article was to analyze whether energy taxes really contribute to the reduction of greenhouse gas (GHG) emissions and the successful implementation of climate change policy.

This study analyses the sustainability condition of a healthy environment, economic growth and poverty level in relation to the golden age population in Malaysia based on the quantile regression estimates covering the period of 1960 until 2016. Generally, studies on aging population have generated attention globally due to its possible impact on health care, greenhouse gas emissions, globalization, investment for the purpose of research and devel-opment, income inequality and energy consumption.

The promotion of pro-environmental behavior is regarded as very important in solving environmental problems. The Value-Belief-Norm (VBN) theory usually emphasizes internal factors; however, we have transformed this theory by including the environmental knowledge as an external factor. The results showed that action-related environmental knowledge was related to the ecological worldview and directly influenced the private sphere behavior.

Business decisions often require economic analysis involving uncertainties. This study brings forward the multi-attribute group decision making (MAGDM) framework based upon Pythagorean fuzzy (PF) sets with self-confidence of decision makers. By incorporating the ideas of the order-inducing variables of the induced ordered weighted averaging (IOWA) operator, we propose two PF confidence aggregation methods, namely PF confidence induced ordered weighted averaging (PFCIOWA) operator and PF confidence induced hybrid weighted averaging (PFCIHWA) operator.