The purpose of the survey and to some extent polemical article is to present the issue of green growth, a new operating strategy, which the OECD is currently working on. Green growth is seen as a practical tool for achieving the timeless objective, which is sustainable development. In the paper, a particular attention is put on the following question: what kind of relationship occurs between green growth, green economy and sustainable development. The author analyses the purpose of simultaneous functioning of the three "green" ideas. The added value of this paper is a presentation of the author's model of GG-GE-SD relations and a new approach to defining the phenomenon of green growth. It is concluded that co-existence of the trio green economygreen growth -sustainable development is reasonable due to the complementary and synergistic nature of correlations between these concepts.
According to the assumptions of Organisation for Economic Co-operation and Development OECD, the share of biofuels in the global transport sector is estimated to reach 15%–23% by 2050. The triticale can be used to produce bioethanol. The appropriate production process should generate as much renewable energy as possible per production unit. Plant production can be carried out in various tillage systems and using appropriate doses of nitrogen fertilization. The objective of this study is to compare the effect of traditional tillage system (TRD) and reduced (RED) tillage technology and nitrogen fertilizer (0, 40, 80, 120 kg N ha−1) on grain and bioethanol yield of spring triticale. The field experiment was performed in the south east of Poland (50°42′ N, 23°15′ E) on medium dystrophic typical brown soil. Based on research and calculations, the TRD system and between 40 and 80 kg ha−1 of N fertilizer are recommended for use in the cultivation of triticale for bioethanol production purposes. Such a variant will ensure a sufficient yield of grain (5.190 and 5.803 t ha−1), starch (3.462 and 3.871 t ha−1) and bioethanol (2487.3 and 2780.7 L ha−1) and good agronomic efficiency of N fertilizer (16.96 and 12.15 L of bioethanol per 1 kg of nitrogen (N) applied). The best ratio of energy efficiency of bioethanol production (EROI — Energy Return on (Energy) Investment or “net energy”) was recorded for the TRD system (1.138:1) and for the N fertilizer at 40 kg N ha−1 (1.144:1).
Multidimensional crisis phenomena (financial–economic, environmental and social), plaguing the international community, especially in the last 30 years, have intensified resentment towards traditional models of growth and socio-economic development. The European Commission has placed the idea of a green economy (GE) at the heart of the Europe 2020 strategy. This paper presents an assessment of the implementation of the green economy assumptions in EU countries in 2018, taking 2010 as the base year. Using taxonomic methods, a synthetic evaluation index (GEI—Green Economy Index) was constructed based on a multi-criterion set of 27 indicators. This paper attempts to answer the following questions: How green are the European economies? What are the main challenges in this context? The average value of the index for the EU countries decreased in the studied years from 0.3423 to 0.3294, which can be interpreted as a slowdown in the greening processes. The key recommendations for the upcoming years include the improvement of energy efficiency indicators, the further increase in the share of renewable energy sources in the energy balance. Moreover, a significant problem continues to be the high percentage of the population at risk of poverty or social exclusion, as well as low CO2 and resource productivity rates.
In this paper, the aggregate index of national economies’ circularity (INEC) was proposed and empirically verified. For this purpose, the taxonomic linear ordering method was used, which is a multi-criteria decision-making procedure. This method replaces the analysis of the phenomenon described by a set of indicators with an analysis using one aggregate indicator: the so-called ‘synthetic metric’. Based on 14 circular economy indicators that are available in the Eurostat database, the circularity indexes were constructed for 24 EU countries (including the United Kingdom). This allowed the author, on the one hand, to create a ranking of the countries, and on the other, to assign them to four groups, which were characterized by a similar level of circularity. This paper attempts to answer the following questions: how circular are the European economies? What are the main challenges in achieving circularity in Europe? Taking into account the INEC range [0,1], it should be noted that the level of circularity in the analysed European countries is low (an average of 0.3021). Therefore, the paper indicates the areas requiring improvement in this respect.
Research background: Many scientists have researched the economic competitiveness of agriculture. At the same time, considerably less attention is paid to the so-called green competitiveness. Considering a global trend searching for solutions to reduce the environmental impact of the agricultural sector, it seems reasonable to explore the overlap between economic competitiveness and green competitiveness. Purpose of the article: This study aims to answer the following questions: What is the level of economic and green competitiveness of agriculture in respective countries? What is the level of the comprehensive competitiveness of agriculture in EU member states? Do the economic competitiveness outcomes of respective countries coincide with their green competitiveness rankings? Methods: Taxonomic methods were applied to design synthetic indices of economic, green and comprehensive competitiveness of 27 member states of the European Union, based on multi-criteria sets of specific indicators from 2018. Findings & value added: The results of analyses imply that, in general, the level of green competitiveness of agriculture is higher than the level of its economic competitiveness in EU member states. Simultaneously, the developed rankings show that respective countries' economic and green competitiveness are not linked. In other words, economic competitiveness outcomes do not match green competitiveness outcomes for EU agriculture. This work is a genuine contribution to studies on the methods for measuring and evaluating the competitiveness of agriculture as it designs separate synthetic measures for economic and green competitiveness and confronts both types of competitiveness in EU member states. The research findings for the first time provide clear answers to questions about the mutual relationship between economic and green competitiveness in agriculture. Furthermore, an added value of this study is that it introduces and attempts to define the notion of green competitiveness.
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