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This article focused on comparing the development of the price level of the water and sewerage charge rates in the regions of the Czech Republic to the development of macroeconomic indicators expressing the performance of the individual region. The following were selected as macroeconomic indicators: gross domestic product, gross domestic product per capita, net disposable income of households, net disposable income of households per capita and average gross wage. The Czech Republic is divided into 14 regions. In each region, a different price level of the water and sewerage charge rate was determined. At the same time, each region had a different performance which is represented by the above-mentioned macroeconomic indicators. It follows from the definition of Act No. 274/2001 Coll., the water supply and sewerage systems operation is in the public interest. This raised the research question of whether regions with lower performance also have a lower price level of water and sewerage charge rates from the point of view of the purchasing power of the inhabitants of this region. Confirmation or rejection of this hypothesis was based on the creation of 91 matrix expressions. The input data for the creation of matrices contained 196 items of data on the price level of the water and sewerage charge rates and 1,176 items of data on macroeconomic indicators. The hypothesis was not confirmed as only 1 region met the condition, namely the Olomouc Region, which had a lower price level of water and sewerage charge rates and lower efficiency.
Słowa kluczowe
Rocznik
Tom
Strony
113--123
Opis fizyczny
Bibliogr. 20 poz., rys., tab.
Twórcy
autor
- Brno University of Technology, Faculty of Civil Engineering, Czech Republic
autor
- Brno University of Technology, Faculty of Civil Engineering, Czech Republic
autor
- Brno University of Technology, Faculty of Civil Engineering, Czech Republic
Bibliografia
- Ashoori, N., Dzombak, D. A. & Small, M. J. (2017). Identifying water price and population criteria for meeting future urban water demand targets. Journal of Hydrology, 555, 547–556. https://doi.org/10.1016/j.jhydrol.2017.10.047
- Behun, M., Gavurova, B., Tkacova, A. & Kotaskova, A. (2018). The impact of the manufacturing industry on the economic cycle of European Union countries. Journal of competitiveness, 10 (1), 23–39. https://doi.org/10.7441/joc.2018.01.02
- Borhan, H., Ridzuan, A. R., Subramaniam, G., Amin, S. M. & Saad, R. M. (2021). Modelling the environmental kuznets curve of water pollution impact on economic growth in developing country. International Journal of Energy Economics and Policy, 11 (5), 545–552. https://doi.org/10.32479/ijeep.11571
- Český statistický úřad (2020-03-28). Retrieved from: https://www.czso.cz
- Frone, S. & Frone, D. F. (2014). Challenges in analyzing correlation between water infrastructure and economic development. Procedia Economics and Finance, 10, 197–206. https://doi.org/10.1016/S2212-5671(14)00294-9
- Garnitz, J., Lehmann, R. & Wohlrabe, K. (2019). Forecasting GDP all over the world using leading indicators based on comprehensive survey data. Applied Economics, 51 (54), 5802–5816. https://doi.org/10.1080/00036846.2019.1624915
- Kostin, V. & Halounová, L. (2019). An analysis of spatial structure of urban regional networks using GIS. Acta Polytechnica, 59 (1), 35–41. https://doi.org/10.14311/AP.2019.59.0035
- Liu, J. (2019). Relationship between water pollution and regional economic development: Empirical evidence from Hubei, China. Nature Environment and Pollution Technology, 18 (2), 599–603.
- Liu, L., Wu, T., Xu, Z. & Pan, X. (2018). The water-economy nexus and sustainable transition of the Pearl River Delta, China (1999–2015). Sustainability, 10 (8), 2595. https://doi.org/10.3390/su10082595
- Maziotis, A., Saal, D. S., Thanassoulis, E. & Molinos-Senante, M. (2015). Profit, productivity and price performance changes in the water and sewerage industry: an empirical application for England and Wales. Clean Technologies and Environmental Policy, 17 (4), 1005–1018. https://doi.org/10.1007/s10098-014-0852-2
- Ministerstvo zemědělství (2020-03-28). eAGRI. Retrieved from: https://www.eagri.cz
- Molinos-Senante, M., Maziotis, A. & Sala-Garrido, R. (2015). Assessing the relative efficiency of water companies in the English and welsh water industry: a metafrontier approach. Environmental Science and Pollution Research, 22 (21), 16987–16996. https://doi.org/10.1007/s11356-015-4804-0
- Molinos-Senante, M., Maziotis, A. & Xue, B. (2021). Productivity growth, economies of scale and scope in the water and sewerage industry: The Chilean case. PLoS ONE, 16 (5). https://doi.org/10.1371/journal.pone.0251874
- Molinos-Senante, M., Sala-Garrido, R. & Lafuente, M. (2015). The role of environmental variables on the efficiency of water and sewerage companies: a case study of Chile. Environmental Science and Pollution Research, 22 (13), 10242–10253. https://doi.org/10.1007/s11356-015-4225-0
- Somlyódy, L. & Patziger, M. (2012). Urban wastewater development in Central and Eastern Europe. Water Science and Technology, 66 (5), 1081–1087. https://doi.org/10.2166/wst.2012.289
- Tsur, Y. (2020). Optimal water pricing: Accounting for environmental externalities. Ecological Economics, 170, 106429. https://doi.org/10.1016/j.ecolecon.2019.106429
- Tuckova, Z. & Sverak, P. (2016). Impact of the regional macroeconomics indicators on tourism entities in Plzen and Zlin Regions. Procedia Economics and Finance, 39, 313–318. https://doi.org/10.1016/S2212-5671(16)30329-X
- Wait, I. W. & Petrie, W. A. (2017). Comparison of water pricing for publicly and privately owned water utilities in the United States. Water International, 42 (8), 967–980. https://doi.org/10.1080/02508060.2017.140678e
- Zákon o vodovodech a kanalizacích pro veřejnou potřebu a o změně některých zákonů (zákon o vodovodech a kanalizacích). Zákon č. 274/2001 Sb. [Act 274/2001 on water supply and sewerage for public use and on amendments to certain acts (Water Supply and Sewerage Act) on water supply and sewerage. Act No 274/2001 Coll.].
- Zhukova, Y. & Sobolieva-Tereshchenko, O. (2021). Modeling macroeconomic indicators in unstable economies. Journal of International Studies (Kyiv), 14 (2), 128–148. https://doi.org/10.14254/2071-8330.2021/14-2/9
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-baa2c964-d84c-44cf-8bf7-e69fd33d1208