Economic and environmental aspects of inland transport in EU countries

Baran, Joanna; Górecka, Aleksandra

doi:10.1080/1331677x.2019.1578680

Cited by 20 publications

(16 citation statements)

References 36 publications

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“…The DEA method is a deterministic technique and produces results that are particularly sensitive to measurement error. Moreover, the DEA method measures efficiency relative to best practices within a particular sample, and so comparisons of scores between different studies are not meaningful [119].…”

Section: Discussionmentioning

confidence: 99%

Economic and Environmental Aspects of Agriculture in the EU Countries

Baran

2021

Energies

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The analysis of the economic efficiency of agriculture has been the subject of numerous studies. An economically efficient agricultural sector is not always environmentally efficient. Agriculture is a large emitter of greenhouse gases. The Intergovernmental Panel on Climate Change states that food production and agriculture are responsible for 21–37% of total global CO2 emissions. Due to the comprehensive assessment of the agricultural efficiency, it is worthwhile to apply to its measurement an integrated approach based on economic, energy and environmental aspects. These aspects were the main reasons for undertaking this research. The purpose of the study was to determine the economic, energy and environmental efficiency of agriculture in the EU Member States in 2019. The environmental analyses relate to the period 1990–2019. A total of 26 member states of the European Union (excluding Malta and Luxembourg) were selected for research. The sources of materials were Eurostat and the European Environmental Agency. This study was based on the Data Envelopment Analysis method, and used the DEA model focused on minimizing inputs. The research also adopts energy productivity and greenhouse gas emission efficiency indicators. The DEA model features the following variables: one effect (value of agricultural production) and four inputs (land, labour, use of fertilizers and use of energy). It was found that seven out of the 26 studied EU countries have efficient agriculture. The efficient agriculture group included The Netherlands, Denmark, Greece, Cyprus, the United Kingdom, Italy and Ireland. Based on the DEA method, benchmarks have been defined for countries with inefficient agriculture. On the basis of these benchmarks for inefficient agricultural sectors, it was possible to determine how they could improve efficiency to achieve the same results with fewer inputs. This issue is particularly important in the context of sustainable agricultural development. In the next stage of the research, the analysis of economic and energy efficiency was combined with the analysis of GHG emission efficiency in agriculture. Four groups of countries have been distinguished: eco-efficiency leaders, eco-efficiency followers, environmental slackers, eco-efficiency laggards. The leaders of the classification were The Netherlands, Italy, Greece, Cyprus and Portugal.

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Section: Discussionmentioning

confidence: 99%

Economic and Environmental Aspects of Agriculture in the EU Countries

Baran

2021

Energies

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“…However, taking into account the type of returns to scale two models are distinguished, which are as follows: the CCR model providing for constant returns to scale, and the BCC model provides for changing return to scale. The CCR model is used to calculate the overall technical efficiency (Technical Efficiency -TE) and the BCC model is used to calculate pure technical efficiency (Pure Technical Efficiency -PTE) [Baran and Górecka 2019]. Charnes et al [1978] had evaluated the measure of efficiency for each DMU that is obtained as a maximum of a ratio of weighted outputs to weighted inputs.…”

Section: Methodsmentioning

confidence: 99%

Untitled

2021

eiol

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Thematic Editors: Marta Zięba (language editor; efficiency in logistics); Joanna Domagała (warehouse management); Aleksandra Górecka (logistic infrastructure); Konrad Michalski (logistic systems and IT systems in logistics); Tomasz Rokicki (transport and spedition); Monika Roman (optymalizacja procesów logistycznych); Elżbieta J. Szymańska (supply chains and costs in logistics); Michał Wielechowski (logistics in the economy); Marcin Wysokiński (hazardous materials and OHS in logistics).

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“…A number authors pointed out infrastructure as the main constrain for establishing the high level of seaport cooperation. Baran and Górecka (2019) admitted that ineffective road and rails transportation in Croatia is a big constraint to a possible business model between seaports in Koper, Rijeka and Bar. Study of Vlahinić-Lenz et al, (2019) shows bad status of the transport infrastructure in Central and Eastern E.U.…”

Section: Theoretical Approachmentioning

confidence: 99%

Possibility of business cooperation in the selected Adriatic Sea ports

Drašković¹,

Jovović²,

Rabe³

2020

Economics &Amp; Sociology

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The subject of this paper is the analysis of perceptions of 210 respondents about the level of possible business cooperation between the three Adriatic seaports (Bar, Koper and Rijeka). The aim of the research is to assess the degree of negative impact of individual key influencing factors which are grouped in the model according to the principle of compatibility into three independent variables at the level of possible business cooperation (as dependent variables). It starts from the basic hypothesis that further development of these seaports, among other things, should be based on their greater business cooperation, because it can significantly increase their competitiveness (Juscius et al., 2020) in the wider region through better business and logistics competencies. The authors have also defined the auxiliary hypothesis that in order to establish the mentioned business cooperation, it is necessary to overcome many economic, political, institutional and other barriers (Gupta et al. 2019; Panikarova et al, 2020; Draskovic et al., 2020). The paper uses the method of multiple linear regression to determine the relationship between the dependent and the independent variables.

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Economic and environmental aspects of inland transport in EU countries

Cited by 20 publications

References 36 publications

Economic and Environmental Aspects of Agriculture in the EU Countries

Economic and Environmental Aspects of Agriculture in the EU Countries

Untitled

Possibility of business cooperation in the selected Adriatic Sea ports

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