Autonomous Energy Regions as a Proposed Choice of Selecting Selected EU Regions—Aspects of Their Creation and Management
Abstract
:1. Introduction
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- Geographical location and natural resources;
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- Equipping with energy, transport, and housing infrastructure;
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- Human capital;
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- Equipping with capital and access to aid programs and support funds;
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- Interest in and acceptance of solutions using renewable energy sources (AREs);
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- The innovativeness of the economy (enterprises) and the provision of research and development facilities;
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- Local, regional, and national historical and political circumstances [8].
2. Materials and Methods
The Importance of the ARE Concept in Global Terms
Research on the Possibilities of Creating AREs in the MazoviaVoivodeship
- Postal questionnaires (@);
- Taxonomic method (Hellwig’s method).
3. Literature Review
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- Identify and assess the potential of different forms of energy in a given area;
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- An estimate of the current and future energy needs of the area;
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- An estimate of the real degree of security of energy needs from local sources;
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- The selection of a supplier of complementary energy;
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- Draw up local energy development programs;
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- Inventory and assessment of the technical condition of local/regional energy infrastructure, networks, and consumers;
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- Take initiatives to set up local businesses involved in the preparation and implementation of projects related to the functioning of AREs;
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- Promotion of AREs and their applications;
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- Building a network of links between the entities of the energy system and establishing cooperation with other AREs.
3.1. EU Energy Policy Acceptance of the ARE
- Guaranteeing Europe’s electricity supply;
- Ensuring that energy prices do not act as a brake on European competitiveness;
- Environmental protection and in particular the prevention of climate change;
- Developing energy networks.
3.2. Impact of the ARE on the Socioeconomic Development of the Regions
4. Results
Analysis of the Survey
5. Description of Taxonomic Method and Test Results
- Selection of diagnostic variables.
- Standardization.
- Replacement of the destimulant with stimulants.
- Calculation of synthetic indicators.
- Interpretation of obtained results.
- Four indicators have been selected for the study, which have been considered crucial by the Delphic Method research team. The study was carried out based on statistical data for 2018 (last year for which statistics were available). These included the following indicators:
- Registered unemployment rate in %.
- Use of the gas installation in % of the total. Income of the district per 1 inhabitant. Average gross monthly salary. Justification for the choice of indicators by the research team.
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- Registered unemployment rate in %—the high level of unemployment in a given region creates developmental opportunities. According to the analysis of world literature, research and good practice analysis [73], renewable energy is an economic sector that creates many jobs. Labor resources provide an opportunity and allow us to presume that a significant proportion of people will be interested in taking up employment in the creation of the ARE.
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- The user of the gas installation in % of the total—the data was considered a stimulant. The high level of gasification indicates that there is potentially little interest among investors in engaging in initiatives to create an ARE. It should also be borne in mind that gas is one of the cheapest energy sources and is environmentally friendly. Therefore, replacing gas with renewable energy sources becomes unattractive.
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- Poviatincome per capita—high income allows to start investment activity.
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- Average gross monthly salaries—high income allows to start investment activity.
- Cio—generalized Euclidean distance of the i-th object from the pattern;
- Vk—weight assigned to the k-th variable from the set of diagnostic variables;
- Zik—standardized k-value of this variable for the i-th object;
- Zok—standardized k-value of this variable for the reference object.
- Hi—the value of a synthetic meter for the i-th object;
- Cio—generalized Euclidean distance of the i-th object from the pattern;
- Co—a normative factor;
- Co—Arithmetic mean of generalized distances of Euclidean objects from the pattern;
- So—Standard deviation of the generalized distances of Euclidean objects from the standard.
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- The number of indicators adopted for the analysis of the synthetic indicator is limited to those that can be obtained from publicly available statistical data of the Central Statistical Office. The analysis included four indicators characterizing various areas of municipal economy functioning, which show a direct or indirect relationship with the ARE potential;
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- The analysis was conducted on the basis of statistical data for 2018;
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- The study used statistical data from the Central Statistical Office in Warsaw.
6. Factors Determining the Introduction of the ARE (Based on Studies)
6.1. Recommendations for the Creation of AREs in EU Countries
6.2. Development of Strategic Energy Policy Documents by Entities Preparing to Co-Create the ARE
6.3. Establishing Cooperation with Neighboring Regions
6.3.1. Acquisition of Knowledge
6.3.2. Public Confidence Building
6.3.3. Financial Models
- Environmental (related to the transition of economies and society from energy based e.g., on coal and other non-renewable energy sources to RES);
- Health (reducing low emissions affects the quality and health of residents);
- Infrastructural (creating new energy and energy-related infrastructure for the needs of renewable energy sources);
- Labor market (in problem regions, struggling with unemployment problems, renewable energy may be an industry that creates local jobs, including, in particular, an attractive solution for agricultural and post-industrial areas);
- Social (development of local energy infrastructure based on renewable energy sources, where the community is its owner, (co-owner) and manages it, and consequently gains benefits, gives an opportunity to create new social and economic networks, forms local communities focused around common goals);
6.3.4. Links with Other Municipal Services
6.3.5. Creating Energy Clusters and Supporting the Construction of Energy Cooperatives
6.3.6. Mobility
7. Advantages and Disadvantages of Introducing ARE
8. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
- Reiss, P.C.; White, M.W. Household electricity demand, revisited. Rev. Econ. Stud. 2005, 72, 853–883. [Google Scholar] [CrossRef]
- Bruckmeier, K. LEADER in Germany and the discourse of autonomous regional development. Sociol. Rural. 2000, 40, 219–227. [Google Scholar] [CrossRef]
- Späth, P.; Rohracher, H. ‘Energy regions’: The transformative power of regional discourses on socio-technical futures. Res. Policy 2010, 39, 449–458. [Google Scholar] [CrossRef]
- Armstrong, H.; Read, R. Western European micro-states and EU autonomous regions: The advantages of size and sovereignty. World Dev. 1995, 23, 1229–1245. [Google Scholar] [CrossRef]
- Aschauer, D.A. Is public expenditure productive? J. Monet. Econ. 1989, 23, 177–200. [Google Scholar] [CrossRef]
- Amacher, G.S.; Hyde, W.F.; Kanel, K.R. Nepali fuelwood production and consumption: Regional and household distinctions, substitution and successful intervention. J. Dev. Stud. 1999, 35, 138–163. [Google Scholar] [CrossRef]
- Albi, A. EU Enlargement and the Constitutions of Central and Eastern Europe; Cambridge University Press: Cambridge, UK, 2005. [Google Scholar]
- Kok, R.; Benders, R.M.; Moll, H.C. Measuring the environmental load of household consumption using some methods based on input–output energy analysis: A comparison of methods and a discussion of results. Energy Policy 2006, 34, 2744–2761. [Google Scholar] [CrossRef]
- Ghisi, E.; Tinker, J.A. An ideal window area concept for energy efficient integration of daylight and artificial light in buildings. Build. Environ. 2005, 40, 51–61. [Google Scholar] [CrossRef]
- Brown, H.S.; Vergragt, P.J. Bounded socio-technical experiments as agents of systemic change: The case of a zero-energy residential building. Technol. Forecast. Soc. Chang. 2008, 75, 107–130. [Google Scholar] [CrossRef]
- Gann, D.M.; Salter, A.J. Innovation in project-based, service-enhanced firms: The construction of complex products and systems. Res. Policy 2000, 29, 955–972. [Google Scholar] [CrossRef]
- Lechtenböhmer, S.; Schüring, A. The potential for large-scale savings from insulating residential buildings in the EU. Energy Effic. 2011, 4, 257–270. [Google Scholar] [CrossRef]
- Lewis, D. Energy positive: How Denmark’s Samso Island switched to zero carbon. Habitat Aust. 2017, 45, 14. [Google Scholar]
- Watson, I.; Betts, S.; Rapaport, E. Determining appropriate wind turbine setback distances: Perspectives from municipal planners in the Canadian provinces of Nova Scotia, Ontario, and Quebec. Energy Policy 2012, 41, 782–789. [Google Scholar] [CrossRef]
- Bazan-Krzywoszańska, A.; Mrówczyńska, M.; Skiba, M.; Łączak, A. Economic conditions for the development of energy efficient civil engineering using RES in the policy of cohesion of the European Union (2014–2020). Case study: The town of Zielona Gora. Energy Build. 2016, 118, 170–180. [Google Scholar] [CrossRef]
- EC-European Commission. Directive 2010/75/EU of the European Parliament and of the Council of 24 November 2010 on industrial emissions (integrated pollution prevention and control). Off. J. Eur. Union 2010, L334, 17–119. [Google Scholar]
- EC-European Commission. Directive 2009/72/EC of the European Parliament and of the Council of 13 July 2009 concerning common rules for the internal market in electricity and repealing Directive 2003/54/EC. Off. J. Eur. Union 2009, L112, 55–93. Available online: https://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2009:211:0055:0093:EN:PDF (accessed on 22 January 2020).
- A Policy Framework for Climate and Energy in the Period from 2020 to 2030. A Strategy for Competitive, Sustainable and Secure Energy. Available online: http://eur-lex.europa (accessed on 12 January 2020).
- EC-European Commission. Directive 2009/28/EC on Renewable Energy (Promoting Technologies such as Electric Car, Heat Pump, Second-Generation Fuels); EC-European Commission: Brussels, Belgium, 2009.
- Directive 2010/31/EC (Creating Sustainable Construction, Including a Zero-Energy House). Available online: https://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:153:0013:0035:en:PDF (accessed on 24 January 2020).
- Scarlat, N.; Dallemand, J.F.; Monforti-Ferrario, F.; Banja, M.; Motola, V. Renewable energy policy framework and bioenergy contribution in the European Union–An overview from National Renewable energy action plans and progress reports. Renew. Sustain. Energy Rev. 2015, 51, 969–985. [Google Scholar] [CrossRef]
- Van Leeuwen, M.G.; Vermeulen, W.J.; Glasbergen, P. Planning eco-industrial parks: An analysis of Dutch planning methods. Bus. Strategy Environ. 2003, 12, 147–162. [Google Scholar] [CrossRef] [Green Version]
- European Commission. Analysis Associated with the Roadmap to a Resource Efficient Europe. Available online: http://ec.europa.eu/environment/resource_efficiency/pdf/working_paper_part1.pdf (accessed on 20 May 2020).
- Miciuła, I.; Stępień, P. The impact of current EU climate and energy policies on the economy of Poland. Pol. J. Environ. Stud. 2019, 28, 2273–2280. [Google Scholar] [CrossRef]
- Vavrek, R.; Chovancova, J. Assessment of economic and environmental energy performance of EU countries using CV-TOPSIS technique. Ecol. Indic. 2019, 106, 105519. [Google Scholar] [CrossRef]
- Hou, P.; Enevoldsen, P.; Eichman, J.; Hu, W.; Jacobson, M.Z.; Chen, Z. Optimizing investments in coupled offshore wind-electrolytic hydrogen storage systems in Denmark. J. Power Sources 2017, 359, 186–197. [Google Scholar] [CrossRef]
- Jansen, M.; Staffell, I.; Kitzing, L.; Quoilin, S.; Wiggelinkhuizen, E.; Bulder, B.; Riepin, I.; Müsgens, F. Offshore wind competitiveness in mature markets without subsidy. Nat. Energy 2020, 5, 614–622. [Google Scholar] [CrossRef]
- Kandil, M.S.; Farghal, S.A.; El-Alfy, A.E. Optimum operation of an autonomous energy system suitable for new communities in developing countries. Electr. Power Syst. Res. 1991, 21, 137–146. [Google Scholar] [CrossRef]
- Toke, D. The UK offshore wind power programme: A sea-change in UK energy policy? Energy Policy 2011, 39, 526–534. [Google Scholar] [CrossRef]
- Pulselli, R.M.; Simoncini, E.; Marchettini, N. Energy and emergy based cost–benefit evaluation of building envelopes relative to geographical location and climate. Build. Environ. 2009, 44, 920–928. [Google Scholar] [CrossRef]
- Carvalho, M.; Serra, L.M.; Lozano, M.A. Geographic evaluation of trigeneration systems in the tertiary sector. Effect of climatic and electricity supply conditions. Energy 2011, 36, 1931–1939. [Google Scholar] [CrossRef]
- Lund, H. Renewable energy strategies for sustainable development. Energy 2007, 32, 912–919. [Google Scholar] [CrossRef] [Green Version]
- Miciuła, I.; Wojtaszek, H.; Bazan, M.; Janiczek, T.; Włodarczyk, B.; Kabus, J.; Kana, R. Management of the energy mix and emissivity of individual economies in the european union as a challenge of the modern world climate. Energies 2020, 13, 5191. [Google Scholar] [CrossRef]
- Hongrapipat, J.; Siriwongrungson, V.; Messner, M.; Henrich, C.; Gunnarsson, S.; Koch, M.; Hofbauer, H. Co-gasification of cassava rhizome and woody biomass in the 1 MWel prototype dual fluidized bed gasifier by gussing renewable energy. In Proceedings of the IOP Conference Series: Earth and Environmental Science, Sanya, China, 12–15 March 2020; IOP Publishing: Bristol, UK, 2020; Volume 495, No. 1. p. 012019. [Google Scholar]
- Barragan-Escandon, A.; Terrados-Cepeda, J.; Zalamea-Leon, E.; Arias-Reyes, P. Electricity production using renewable resources in urban centres. Proc. Inst. Civ. Eng. Energy 2018, 171, 12–25. [Google Scholar] [CrossRef] [Green Version]
- Kanellakis, M.; Martinopoulos, G.; Zachariadis, T. European energy policy—A review. Energy Policy 2013, 62, 1020. [Google Scholar] [CrossRef]
- Goodstein, D.; Intriligator, M. Climate Change and the Energy Problem: Physical Science and Economics Perspective; World Scientific Publishing Co Pte Ltd.: Singapore, 2013. [Google Scholar]
- Banos, R.; Manzano-Agugliaro, F.; Montoya, F.G.; Gil, C.; Alcayde, A.; Gómez, J. Optimization methods applied to renewable and sustainable energy: A review. Renew. Sustain. Energy Rev. 2011, 15, 1753–1766. [Google Scholar] [CrossRef]
- Szulecki, K.; Fischer, S.; Gullberg, A.T.; Sartor, O. Shaping the Energy Union’: Between national positions and governance innovation in EU energy and climate policy. Clim. Policy 2016, 16, 548. [Google Scholar] [CrossRef] [Green Version]
- Kern, S.; Pfeifer, C.; Hofbauer, H. Synergetic utilization of renewable and fossil fuels: Dual fluidized bed steam co-gasification of coal and wood. APCBEE Procedia 2012, 1, 136–140. [Google Scholar] [CrossRef] [Green Version]
- Marcelja, D. Self-sufficient community: Vision or reality? Creating a regional renewable energy supply network (Güssing, Austria). Local Gov. Clim. Chang. 2010, 217–228. [Google Scholar] [CrossRef]
- Menges, G.; Sherif, S.A. International comparison of industrial production structures: Application of a taxonomic method to the input-output tables of the economic commission for Europe. Stat. Hefte 1977, 18, 83–122. [Google Scholar] [CrossRef]
- Clarke, M.; Wilson, A.G. The dynamics of urban spatial structure: The progress of a research programme. Trans. Inst. Br. Geogr. 1985, 427–451. [Google Scholar] [CrossRef]
- International Atomic Energy Agency. Available online: http://www.iaea.org (accessed on 23 December 2018).
- Agency. Available online: www.reo.pl (accessed on 2 December 2018).
- World Nuclear Association. Available online: http://www.world-nuclear.org/ (accessed on 15 December 2019).
- Herrmann, C.; Thiede, S. Process chain simulation to foster energy efficiency in manufacturing. CIRP J. Manuf. Sci. Technol. 2009, 1, 221–229. [Google Scholar] [CrossRef]
- Barragán-Escandón, A.; Terrados-Cepeda, J.; Zalamea-León, E. The role of renewable energy in the promotion of circular urban metabolism. Sustainability 2017, 9, 2341. [Google Scholar] [CrossRef] [Green Version]
- Helm, D. The European framework for energy and climate policies. Energy Policy 2014, 64, 29–35. [Google Scholar] [CrossRef]
- Miciuła, I.; Stępień, P. Analysis of the Global market of energy resources. Eurasian Bus. Perspect. 2019, 10, 85–96. [Google Scholar]
- Clean Energy Australia Report. Available online: https://www.cleanenergycouncil.org.au/policy-advocacy/reports/clean-energy-australia-report.html (accessed on 9 June 2017).
- Thakur, J.; Chakraborty, B. Demand side management in developing nations: A mitigating tool for energy imbalance and peak load management. Energy 2016, 114, 895–912. [Google Scholar] [CrossRef]
- Szulecki, K.; Fischer, S.; Gullberg, A.T.; Sartor, O. Giving shape to the Energy Union: Evolution, national expectations and implications for EU energy and climate governance. SSRN Electron. J. 2015. [Google Scholar] [CrossRef] [Green Version]
- Mitraka, Z.; Chrysoulakis, N.; Kamarianakis, Y.; Partsinevelos, P.; Tsouchlaraki, A. Improving the estimation of urban surface emissivity based on sub-pixel classification of high resolution satellite imagery. Remote Sens. Environ. 2012, 117, 125–134. [Google Scholar] [CrossRef]
- Huo, T.; Ren, H.; Zhang, X.; Cai, W.; Feng, W.; Zhou, N.; Wang, X. China’s energy consumption in the building sector: A statistical yearbook-energy balance sheet based splitting method. J. Clean. Prod. 2018, 185, 665–679. [Google Scholar] [CrossRef]
- Nazara, S.; Hewings, G.J. Spatial structure and taxonomy of decomposition in shift-share analysis. Growth Chang. 2004, 35, 476–490. [Google Scholar] [CrossRef]
- Apps, P.F.; Rees, R. Collective labor supply and household production. J. Political Econ. 1997, 105, 178–190. [Google Scholar] [CrossRef]
- Mantzos, L.; Capros, P.; Kouvaritakis, N.; Zeka-Paschou, M.; Chesshire, J.; Guilmot, J.F. European Energy and Transport Trends to 2030; Office for Official Publications of the European Communities: Luxembourg, 2003. [Google Scholar]
- Franco, A.; Diaz, A.R. The future challenges for “clean coal technologies”: Joining efficiency increase and pollutant emission control. Energy 2009, 34, 348–354. [Google Scholar] [CrossRef] [Green Version]
- Schubert, S.R.; Pollak, J.; Kreutler, M. Energy Policy of the European Union; Macmillan International Higher Education: London, UK, 2016. [Google Scholar]
- Andanova, L.B. The Europeanization of Environmental Policy in Central and Eastern Europe. In The Europeanization of Central and Eastern Europe; Schimmelfennig, F., Sedelmeier, U., Eds.; Cornell Studies in Political Economy: New York, NY, USA, 2005; pp. 135–155. Available online: https://www.ihs.ac.at/publications/lib/fo1.pdf (accessed on 15 January 2019).
- Mišík, M.; Nosko, A. The Eastring gas pipeline in the context of the Central and Eastern European gas supply challenge. Nat. Energy 2017, 2, 844–848. [Google Scholar] [CrossRef]
- Eurostat Data. Available online: http://ec.europa.eu/eurostat (accessed on 31 December 2019).
- Góralczyk, M. Life-cycle assessment in the renewable energy sector. Appl. Energy 2003, 75, 205–211. [Google Scholar] [CrossRef]
- Chastas, P.; Theodosiou, T.; Bikas, D. Embodied energy in residential buildings-towards the nearly zero energy building: A literature review. Build. Environ. 2016, 105, 267–282. [Google Scholar] [CrossRef]
- Shah, S.A.A.; Zhou, P.; Walasai, G.D.; Mohsin, M. Energy security and environmental sustainability index of South Asian countries: A composite index approach. Ecol. Indic. 2019, 106, 105507. [Google Scholar] [CrossRef]
- Švedas, R. EU energy Island–characteristics, threats, and how to break out of it: A case study of Lithuania. Lith. Annu. Strateg. Rev. 2017, 15, 179–209. [Google Scholar] [CrossRef]
- Falkner, R. The political economy of ‘normative power’ Europe: EU environmental leadership in international biotechnology regulation. J. Eur. Public Policy 2007, 14, 507–526. [Google Scholar] [CrossRef]
- Maltby, T. European union energy policy integration: A case of European Commission policy entrepreneurship and increasing supranationalism. Energy Policy 2013, 55, 435–444. [Google Scholar] [CrossRef] [Green Version]
- Langsdorf, S. EU Energy Policy: From the ECSC to the Energy Roadmap 2050; Green European Foundation: Brussels, Belgium, 2011. [Google Scholar]
- Tian, H.; Wang, Y.; Xue, Z.; Qu, Y.; Chai, F.; Hao, J. Atmospheric emissions estimation of Hg, As, and Se from coal-fired power plants in China, 2007. Sci. Total Environ. 2011, 409, 3078–3081. [Google Scholar] [CrossRef]
- Saikia, J.; Roy, S.; Bordoloi, M.; Saikia, P.; Saikia, B.K. Atmospheric aerosols around three different types of coal-based industries: Emission parameters, cytotoxicity assay, and principal component analysis. J. Aerosol Sci. 2018, 126, 21–32. [Google Scholar] [CrossRef]
- Zhang, J.; Ning, Y.; Liu, C.; Li, Z.; Wang, H.; Chen, L.; Lu, C. Monitoring and analysis of effect of project” replacing coal with electricity” improving atmospheric environmental quality in Mentougou District, Beijing. J. Ecol. Rural Environ. 2017, 33, 898–906. [Google Scholar]
- Gibbs, D.; Deutz, P.; Proctor, A. Industrial ecology and eco-industrial development: A potential paradigm for local and regional development? Reg. Stud. 2005, 39, 171–183. [Google Scholar] [CrossRef]
- Renewable Energy and Jobs: Annual Review; IRENA (International Renewable Energy Agency): Abu Dhabi, UAE, 2016.
- Borovits, I.; Carol, A. International comparison of industrial structures using input—Output analysis. Long Range Plan. 1973, 6, 63–68. [Google Scholar] [CrossRef]
- Wilson, A.G.; Birkin, M. Dynamic models of agricultural location in a spatial interaction framework. Geogr. Anal. 1987, 19, 31–56. [Google Scholar] [CrossRef]
- Mayor, M.; López, A.J. Spatial shift-share analysis versus spatial filtering: An application to Spanish employment data. In Spatial Econometrics; Physica-Verlag HD: Heidelberg, Germany, 2008; pp. 123–142. [Google Scholar] [CrossRef]
- Quarantelli, E.L. Disaster crisis management: A summary of research findings. J. Manag. Stud. 1988, 25, 373–385. [Google Scholar] [CrossRef]
- Chiappori, P.A. Introducing household production in collective models of labor supply. J. Political Econ. 1997, 105, 191–209. [Google Scholar] [CrossRef]
- Herrmann, C.; Thiede, S.; Kara, S.; Hesselbach, J. Energy oriented simulation of manufacturing systems—Concept and application. CIRP Ann. 2011, 60, 45–48. [Google Scholar] [CrossRef]
Energy Intensity of GDP in Chain Linked Volumes | Share of Renewable Energy in Final Energy Consumption | ||||
---|---|---|---|---|---|
Kilograms of Oil Equivalent (KGOE) Per Thousand Euro | % | ||||
Geo\Time | 2005 | 2017 | 2005 | 2017 | Target for 2020 |
European Union—28 countries | 153.5 | 121.0 | 9.1 | 17.5 | 20 |
Bulgaria | 627.7 | 426.2 | 9.4 | 18.7 | 16 |
Czech Republic | 327.8 | 238.5 | 7.1 | 14.8 | 13 |
Estonia | 359.1 | 317.0 | 17.4 | 29.2 | 25 |
Croatia | 224.2 | 186.0 | 23.7 | 27.3 | 20 |
Latvia | 266.0 | 213.0 | 32.3 | 39.0 | 40 |
Lithuania | 337.5 | 209.9 | 16.8 | 25.8 | 23 |
Hungary | 285.4 | 230.1 | 6.9 | 13.3 | 13 |
Poland | 324.0 | 228.4 | 6.9 | 10.9 | 15 |
Romania | 354.2 | 205.6 | 17.2 | 24.5 | 24 |
Slovenia | 220.8 | 173.5 | 16.0 | 21.5 | 25 |
Slovakia | 348.9 | 211.2 | 6.4 | 11.5 | 14 |
Albania | 323.5 | 228.1 | 31.4 | 34.6 | - |
Deposit | County | Hellwig’s Index Value |
---|---|---|
1 | Sochaczew district | 0.2903 |
2 | Novodvorsk district | 0.2941 |
3 | Kozienice district | 0.3070 |
4 | The County of the Pooh | 0.3080 |
5 | County of Przasnysz | 0.3152 |
6 | Leipzig County | 0.3161 |
7 | Maków County | 0.3226 |
8 | Sokołów County | 0.3265 |
9 | Żuromin County | 0.3271 |
10 | Płock County | 0.3280 |
11 | Ostrołęka County | 0.3298 |
12 | Zvolen county | 0.3310 |
13 | Gostynin County | 0.3310 |
14 | Sierpe County | 0.3318 |
15 | Ostrów Wielkopolski County | 0.3378 |
16 | Hungarian County | 0.3458 |
17 | The district of Salzburg | 0.3482 |
18 | Szydłowiec County | 0.3533 |
19 | Pułtusk County | 0.3566 |
20 | Siedlce County | 0.3660 |
21 | Plonsk County | 0.3804 |
22 | Bialobrzeski County | 0.3862 |
23 | Gyrard County | 0.3875 |
24 | Radom County | 0.3910 |
25 | Garwolin district | 0.3930 |
26 | Ciechanow County | 0.3942 |
27 | Minsk County | 0.4049 |
28 | Pruszków County | 0.4225 |
29 | Grójec County | 0.4232 |
30 | Otwock County | 0.4313 |
31 | Wyszków County | 0.4318 |
32 | Warsaw western poviat | 0.4406 |
33 | Grodziski County | 0.4417 |
34 | Mława County | 0.4437 |
35 | Piaseczno County | 0.4576 |
36 | Legionowo district | 0.4618 |
37 | Volomina District | 0.4764 |
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Maśloch, P.; Maśloch, G.; Kuźmiński, Ł.; Wojtaszek, H.; Miciuła, I. Autonomous Energy Regions as a Proposed Choice of Selecting Selected EU Regions—Aspects of Their Creation and Management. Energies 2020, 13, 6444. https://doi.org/10.3390/en13236444
Maśloch P, Maśloch G, Kuźmiński Ł, Wojtaszek H, Miciuła I. Autonomous Energy Regions as a Proposed Choice of Selecting Selected EU Regions—Aspects of Their Creation and Management. Energies. 2020; 13(23):6444. https://doi.org/10.3390/en13236444
Chicago/Turabian StyleMaśloch, Piotr, Grzegorz Maśloch, Łukasz Kuźmiński, Henryk Wojtaszek, and Ireneusz Miciuła. 2020. "Autonomous Energy Regions as a Proposed Choice of Selecting Selected EU Regions—Aspects of Their Creation and Management" Energies 13, no. 23: 6444. https://doi.org/10.3390/en13236444
APA StyleMaśloch, P., Maśloch, G., Kuźmiński, Ł., Wojtaszek, H., & Miciuła, I. (2020). Autonomous Energy Regions as a Proposed Choice of Selecting Selected EU Regions—Aspects of Their Creation and Management. Energies, 13(23), 6444. https://doi.org/10.3390/en13236444