Suchergebnisse

Purpose: Based on headline indicators, green growth's aggregate indexes have been constructed for 28 EU countries (including the United Kingdom). This allowed creating a ranking of the countries and identifying the strengths and weaknesses of green growth both at the European and national levels. Design/Methodology/Approach: Research was carried out based on the taxonomic linear ordering method. The reference years 2013-2018 were chosen due to data availability for individual indicators on the OECD database. Findings: The analysis showed that Sweden features the highest level of green growth, while Estonia received the lowest rating. Generalizing the study results, it can be stated that the level of 'greening' growth in European Union countries is still low. Practical Implications: The research results fill in the existing information gap by providing an answer to the fundamental question: How can green growth be evaluated synthetically based on headline indicators? This also allows countries to identify areas where their performance is weak and prioritize their mitigation measures accordingly. Originality/Value: The proposed method advances the OECD approach by adding evaluation metrics to assess each country's performance relative to other jurisdictions by indicator and by a synthetic measure. ; peer-reviewed

Purpose: The concept of green growth gained in importance as a result of the recent financial and economic downturn. In the opinion of many experts it is a potential way of achieving a long-term goal, that is, sustainable development. An essential role in the context of green growth is attributed to the agricultural sector. The authors attempted to establish a synthetic measure of the level of green growth in agriculture. Design/Methodology/Approach: Research was carried out based on the taxonomic linear ordering method. The reference years 2000-2017 were chosen due to data availability on Eurostat, FAO and OECD database. Due to the existing information gap, 25 EU countries were accepted for analysis. Findings: The analysis showed that Poland is characterized by the highest level of green growth in agriculture, while Cyprus received the lowest rating. Generalizing the results of the study, it can be stated that the level of 'greening' agriculture in European Union countries is insufficient. Practical Implications: The results fill in the existing information gap by providing an answer to the fundamental question: How can green growth in agriculture be evaluated synthetically? The proposed method advances the OECD approach by adding evaluation metrics to assess the performance of each country relative to other jurisdictions by indicator and by a synthetic measure. This allows countries to clearly identify areas where their performance is weak and to prioritize their mitigation measures accordingly. Originality/Value: The proposed method advances the OECD approach by adding evaluation metrics to assess the performance of each country relative to other jurisdictions by indicator and by a synthetic measure. This allows countries to clearly identify areas where their performance is weak and to prioritize their mitigation measures accordingly. ; peer-reviewed

Purpose: In the recent decade, the so-called green growth (GG) concept has made a significant contribution to many-years' debate on sustainable development (SD). One of its key pillars is eco-innovation (EI), however little information is available on whether and to what extent eco-innovation can be actually perceived as a significant factor for implementing green growth. For this reason, the aim of this paper is to clarify and synthesise findings at the intersection of these two fields: eco-innovation and the green growth processes. Design/Methodology/Approach: The paper provides a special insight into the relationship between EI and GG incorporating the spatial dimension into analysis. The empirical part is based on the sample of 21 European countries. Findings: The rests of spatial panel models show that there exist positive effects of investing in eco-innovations on green growth. However, these results involve strong nonlinearities and threshold effects. The obtained results shed a new light on the uncovering relevant aspects and complexities of eco-innovations and green growth. Practical Implications: These results suggest that the policy-makers should mainly focus on stimulating the companies to introduce eco-innovations aiming at a reduction of material input and energy per unit output as well as an improvement of eco-management practices. Government incentives for green technology and organizational solutions may include a combination of subsidies and tax incentives. Originality/Value: This study is the first one which includes different measures of eco-innovations and relates them to the green growth process. These measures allow us portray the countries' eco-innovation efforts from input, process, and output perspectives. ; peer-reviewed

Purpose – This paper presents the results of an assessment of the aggregated competitiveness of the agricultural sector in the EU member states. The authors sought answers to the following questions: What is the general level of competitiveness of the agricultural sector in the European Union? Which countries are leaders in the EU and which are outsiders in this area? Research method – The analyses were based on a set of intentionally selected multi-criteria indicators and taxonomic methods. An aggregated Competitiveness Index (CI) was designed, which allowed evaluating and classifying EU countries into categories in terms of the studied phenomenon. The analysis draws upon data derived from the World Bank's and Eurostat statistical databases, and the assessment covered two years – 2004 and 2018. Results – The mean CI in 2018 for all the evaluated countries was 0.1701, while in the base year it was 0.1942, which means that in the analysed years the general competitiveness level of agricultural sectors in the EU member states declined. Considering the possible range of CI (0.1), this level was very low in both analysed years. The general competitiveness level fell due to: the reduced use of fertilisers, decrease in the relative export orientation, smaller area of arable land and a decline in employment in agriculture. Originality/value/implications/recommendations – The analysis of the agricultural sector presented in this paper, using a comprehensive index, is the approach that has not been previously applied, taking into account the selection of the components of a comprehensive index, which was made on the basis of the literature studies. The proposed index allowed classifying the countries of the European Union according to both their resources and performance in production and trade in the agricultural sector and comparing the position they occupied in 2004 and in 2018.