scholarly journals Virtual Airport Hub—A New Business Model to Reduce GHG Emissions in Continental Air Transport

2021 ◽  
Vol 13 (9) ◽  
pp. 5076
Author(s):  
Wojciech Paprocki

The virtual airport hub business model is an innovative solution supported by digital technologies; the implementation of which in continental air transport may lead to a reduction in energy consumption and to a reduction in greenhouse gas emissions. The prerequisites for the implementation of the described solution are as follows: striving to implement the GHG emission reduction strategy laid out in the Paris Agreement (2015) and the European Green Deal (2019) as well as the EU digitalization strategy (2020). The use of predictive analytics to identify the mobility needs of population and operational capabilities of the sector gives an opportunity to plan travel flows and to create an appropriate set of direct connections among regional airports every day. The results of the analysis of data from 2019 on the amount of energy consumption and GHG emissions indicate that in Europe, it would be possible to achieve reduce GHG emissions by 5% without reducing the number of passengers using air transport. The study was prepared after conducting literature studies, data analysis, and using the method of formulating scenarios. The proposed solution has the features of an innovative business model, the implementation of which allows for obtaining more favorable effects using already available resources.

Author(s):  
Wojciech Paprocki

The virtual airport hub business model is an innovative solution supported by digital technologies, the implementation of which in continental air transport may lead to a reduction in energy consumption and to a reduction in greenhouse gas emissions. The prerequisites for the implementation of the described solution are: striving to implement the GHG emission reduction strategy laid out in the Paris Agreement (2015) and the European Green Deal (2019) as well as the EU digitalization strategy (2020). The use of predictive analitics to identify the mobility needs of population and operational capabilities of the sector, gives an opportunity to plan travel flows and to create an appropriate set of direct connections among regional airports every day. The results of the analysis of data from 2019 on the amount of energy consumption and GHG emissions indicate that in Europe, it would be possible to achieve reduce GHG emissions by 5% without reducing the number of passengers using air transport. The study was prepared after conducting literature studies, data analysis and using the method of formulating scenarios. The proposed solution has the features of an innovative business model, the implementation of which allows for obtaining more favorable effects using already available resources.


2021 ◽  
Vol 13 (14) ◽  
pp. 7650
Author(s):  
Astrida Miceikienė ◽  
Kristina Gesevičienė ◽  
Daiva Rimkuvienė

The reduction of GHG emissions is one of the priorities of the EU countries. The majority of studies show that financial support and environmental taxes are one of the most effective measures for the mitigation of the negative consequences of climate change. The EU countries employ different environmental support measures and environmental taxes to reduce GHG emissions. There is a shortage of new studies on these measures. The aim of the present study is to compare the effectiveness of the environmental support measures of the EU countries with the effectiveness of environmental taxes in relation to the reduction of GHG emissions. This study is characterized by the broad scope of its data analysis and its systematic approach to the EU’s environmental policy measures. An empirical study was performed for the EU countries with the aim of addressing this research problem and substantiating theoretical insights. A total of 27 EU member states from 2009 to 2018 were selected as research samples. The research is based on a cause-and-effect relationship, where the factors affecting environmental pollution (environmental taxes and subsidies) are the cause, and GHG emissions are the effect. Statistical research methods were used in the empirical study: descriptive statistics, the Shapiro–Wilk test, one-way analysis of variance (ANOVA), simple regression and cluster analysis. The results show that the older member countries of the EU, which had directed the financial measures of environmental policy towards a reduction in energy consumption, managed to achieve a greater reduction in GHG emissions compared to the countries which had not applied those measures. The Central and Eastern European countries are characterized by lower environmental taxes and lower expenditure allocated to environmental protection. The countries with a higher GDP per capita have greater GHG emissions that the countries with lower GDP per capita. This is associated with greater consumption, waste, and energy consumption. The study conducted gives rise to a discussion regarding data sufficiency in the assessment and forecasting of GHG emissions and their environmental consequences.


2019 ◽  
Vol 1 (1) ◽  
pp. 389-405 ◽  
Author(s):  
Wioletta Skrodzka ◽  
Olga Kiriliuk

AbstractPower engineering is one of the key areas of sustainable development. Many countries create new concepts of environmental safety management and modify their energy systems to be in line with the goals of sustainable development in the EU. Sustainable development indicators can be a tool for monitoring the set goals of environmental safety management. The aim of the article is to assess the environmental safety management of the energy sector in Poland in relation to EU as well as presenting the concept of sustainable energy development and indicators used to assess the development of energy in the following dimensions: social, economic and ecological. The indicators used to assess the sustainable development of energy in the following dimensions were compared: sustainable consumption and production, marking the production and consumption of energy; organizations and sites with eco-management and audit scheme (EMAS); registration climate change, marking GHG emissions and the share of renewable energy in gross final energy consumption; sustainable transport, marking the energy consumption of transport relative to GDP. The article will test the hypothesis that the structure of obtaining energy in Poland and the tempo of change in this respect differ from the EU average.


Energies ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 965 ◽  
Author(s):  
Jacek Brożyna ◽  
Wadim Strielkowski ◽  
Alena Fomina ◽  
Natalya Nikitina

Our paper focuses on the renewable energy and EU 2020 target for energy efficiency in the Czech Republic and Slovakia. We study the reduction of greenhouse gas (GHG) emissions in these two EU Member States through the prism of the Europe 2020 strategy and the 3 × 20 climate and energy package and economic growth (represented by the Gross Domestic Product (GDP) that allows to measure the national dynamics and provide cross-country comparisons) without attributing specific attention to issues such as the electrification of transport or heating, and thence leaving them outside the scope of this paper. Both Czech Republic and Slovakia are two post-Communist countries that still face the consequences of economic transformation and struggle with the optimal management of natural resources. Both countries encountered profound system transformation after 1989 that are apparent in all three measures of sustainable development used in our study. We show that it is unlikely that the planned increase in renewable energy in the Czech Republic and Slovakia will reach its targets, but they might succeed in reducing their energy consumption and greenhouse gas emissions. Our findings show that the energy intensity of Czech and Slovak economies increased in the early 2000s and then stabilized at a level about twice of the EU average. It appears that this value is likely to remain the same in the forthcoming years. However, implementation of GHG emissions in the Czech Republic and Slovakia may be at risk in case the proper energy policy is not maintained. Moreover, our results show how the increase in the share of renewable energy and improvement in energy efficiency go hand-in-hand with mining and exploiting the energy sources that is notorious for the transition economies. We also demonstrate that a proper energy policy is required for effectively reducing energy consumption and greenhouse gas emissions. There is a need for commitments made by relevant stakeholders and policymakers targeted at achieving sustainable economic growth and energy efficiency. In addition, we demonstrate that there is a need for maintaining a proper balance between economic development and environmental protection, which is a must for the EU sustainable energy development agenda and all its accompanying targets for all its Member States.


2019 ◽  
Vol 17 (Suppl.1) ◽  
pp. 511-523
Author(s):  
Nikolay Sterev

In the growth of the Industry 4.0 transformation the economy has become to changed. Thus, not just the economy regulations are fostered but a new business approach has been arisen: the circular / regenerative economy approach. The EC already reacted as it introduced not just updated Sustainable development indices but a new set of indices: circular economy indices. According to this change of the economic model, the business organizations are fostered to change their business models, especially for the industry. Thus, not just the new regulations have to be introduced to the industrial business model but the total change of the added value of the business as introduction of green technologies or innovations for non-waste production value chains. Aim of the paper: to identify and to analyze the requirements to the business that foster them to change their linear business model to circular one. Methods: descriptive analysis of the Bulgarian economy according to circular economy indices; comparative analyses for identification of main differences between linear and circular economies; induction and deduction of the elements of business models. Results: analysis of the indices of circularity of the Bulgarian economy; analysis of requirements for transition from linear to circular economy; identifying requirements to the business model of a circular economy; systematizing rules / guidelines for transforming the business model of a linear economy into the business model of a circular economy. Conclusions: The indicators of the circular economy can be considered as a part of the harmonization process in the EU. Avoiding from the responsibilities of the circular economy approach by Bulgarian industry leads to moving away from the EU economies. This requires relevant national policies, measures and instruments to promote the transformation of the business model to circular one. The paper aims to present the need of industrial business model change as to analyze the starting position of the Bulgarian industry. Thus, the structure of the paper is following: 1. Introduction to Circular economy indices. 2. Definition of Circular economy approach. 3. Analysis of the Circular economy indices change for Bulgaria. 4. Introduction to business model change from linear to circular one. Conclusions.


2019 ◽  
Vol 111 ◽  
pp. 03014
Author(s):  
Shima Ebrahimigharehbaghi ◽  
Queena K. Qian ◽  
Frits M. Meijer ◽  
Henk J. Visscher

The European Commission aims to decrease GHG emissions to 80% below 1990 levels by 2050 (EU, 2017). The housing stock has a considerable share that equals to 40% of energy consumption and 36% of emissions in the EU. The current research aims to evaluate the homeowners’ energy renovation decisions on the exterior, interior, and insulation/installation of their house. The householders’ renovation decisions are analyzed with regards to (1) which stages to help/support and (2) what information is essential in the renovation process. Considering the extent of difficulty for private homeowners’ in accessing information and complexity in conducting the renovation, transaction cost (TC) theory is applied in understanding the decisions. The data has been collected through a survey among 3,776 of the Dutch homeowners in 2012. Then, statistical and logistic regression analysis has been conducted to analyze the renovation decisions for two groups of homeowners: renovators and potential renovators. According to the results and the outcomes of this study: (1) For the renovators: (a) the main identified stages in getting help are in carrying out the renovation, determining the costs, and looking for the reliable professional/ contractor, (b) the main identified sources of information are at the maintenance/ installation companies, family/ friends, and via internet; (2) For the potential renovators: (a) the main identified help stages are in determining the costs, looking for a reliable professional and carrying out the renovation/ improvement, (b) the main identified sources of information are via the internet, by a maintenance/ installation companies, and family/ friends. The main difference among the renovators is for insulation/ installation. The most significant stage in getting help for insulation/installation is to find out the most efficient solutions. Similar results have been found for the potential renovators; the only difference was in the order of the influencing factors.


2016 ◽  
Vol 1 (1) ◽  
Author(s):  
M. Ruslianor Maika

Business model innovators (BMI) earned an average premium that was more than four times greater than that enjoyed by product or process innovators. Furthermore, BMI delivered returns that were more sustainable; even after ten years, business model innovators continued to outperform competitors and product and process innovators (BCG, 2009). Innovation is done using a device management such as: Business Model Canvas (BMC) and the design thinking approach (DTA). BMC used to mapping the Bank Muamalat through the 9 building blocks for later in-design a new business model to conduct the interview process to collect ideas and find an innovative solution.


2021 ◽  
Vol 25 (1) ◽  
pp. 1152-1164
Author(s):  
Madara Rieksta ◽  
Gatis Bazbauers ◽  
Andra Blumberga ◽  
Dagnija Blumberga

Abstract The aim of presented study was to identify the most promising new business models which could help to reach climate and energy targets. ‘Business model’ means new opportunities (e.g. business for profit or non-profit community collaboration models) enabled by various technologies in energy domains, i.e., heat and power supply and demand as well as mobility. Based on scientific publications, nine most important technologies and 37 new business models, which could be among the most important for sustainable energy transition, were identified. Mapping of the new business models was done by looking at synergies between the technologies and the energy domains. Valuation of the business models is done by finding ‘expected impact’ with regards to reduction of greenhouse gas (GHG) emissions, which is obtained by multiplication of two factors: ‘potential’ and ‘feasibility’. The ’potential’ represents ability to reduce GHG emissions considering technical characteristics of technologies involved and scalability. The ‘feasibility’ indicates how realistic is implementation of the new business model in the near to mid-term. Experts in the field of energy and environmental engineering were interviewed to obtain scores for the ‘potential’ and the ‘feasibility’ for all business models. The results show that electric mobility is among the solutions with the largest expected impact for reduction of GHG emissions. Results of this valuation will be used to choose the most promising solutions for further analysis with system dynamic modelling.


2019 ◽  
Vol 2 (4) ◽  
pp. 260-266
Author(s):  
Haru Purnomo Ipung ◽  
Amin Soetomo

This research proposed a model to assist the design of the associated data architecture and data analytic to support talent forecast in the current accelerating changes in economy, industry and business change due to the accelerating pace of technological change. The emerging and re-emerging economy model were available, such as Industrial revolution 4.0, platform economy, sharing economy and token economy. Those were driven by new business model and technology innovation. An increase capability of technology to automate more jobs will cause a shift in talent pool and workforce. New business model emerge as the availabilityand the cost effective emerging technology, and as a result of emerging or re-emerging economic models. Both, new business model and technology innovation, create new jobs and works that have not been existed decades ago. The future workers will be faced by jobs that may not exist today. A dynamics model of inter-correlation of economy, industry, business model and talent forecast were proposed. A collection of literature review were conducted to initially validate the model.


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