scholarly journals The Environmental Kuznets Curve: Industrial Application For Forecasting Waste Generation And Emissions Of Harmful Substances

Purpose. To determine sustainable development conditions according to the criteria of emissions of harmful substances and waste generation when modelling impact factors of the parameters and general environmental situation in Ukraine. Methods. In the research general scientific (analysis and synthesis, induction and deduction, analytical grouping) and special (abstraction, modelling, etc.) methods of studying economic phenomena and processes have been used. Results. For modelling of national sustainable development parameters by the parameters of emissions of harmful substances and waste generation it has been proposed to apply sectoral approach and the model of the environmental Kuznets curve (EKC). It has been proved that the EKC model should be used not only to model parameters of emissions of harmful substances, but also for waste generation. Besides, it has been proved that it is necessary to take into account not only national level indicators, but also the contribution of the leading sectors driving national economy. Modelling has been carried out for the following industries: processing; mining and quarry development; agriculture, forestry and fisheries; supply of electricity, gas, steam and conditioned air; transport, warehousing, post and courier services. The models are based on correlation between GDP, average nominal income per capita, environmental costs, waste generation and emissions of harmful substances at the national level and by its leading industries. It has been determined that reaching the "turning point" on sectoral EKCs correlates waste generation and emissions with industry`s rate of remuneration, value added (sectoral GDP) and sectoral investment in environmental protection in the context of industry`s specifics. It has been demonstrated that in Ukraine the "turning point" on the EKC has been provided by 20% of economically active population in industries that generate 46% of emissions amid country's average nominal income per employee and steady growth of environmental expenses for at least two years. Conclusions. It has been proved that the EKC for Ukraine should be analyzed by the sectors of national economy. To form effective national environmental policy, sectoral EKCs should be applied to determine emissions of harmful substances and waste generation. It has been determined that the key factor to ensure country`s sustainable development is environmental investment both at the national level and by its driving economic sectors. Thus, the sectoral EKC reflects the progress towards industries` sustainable development that form main revenue receipts of the government and determine the rate of remuneration in the real sector. Modelling of the EKC parameters for waste and emissions of harmful substances fully corresponds to the trends of sustainable economic growth and its transition to the innovative type of development.

Purpose. The study objective was to model the conditions to reach the "turning point" in the environmental Kuznets curve model (EKC) for the Ukrainian economy. Меthods. In the research general scientific (analysis and synthesis, induction and deduction, analytical grouping) and special (abstraction, modelling, etc.) methods of studying economic phenomena and processes have been used. Results. To determine the conditions for maintaining sustainable development of the national economy, it has been proposed to use sectoral approach. It is based on the idea that to reach the sustainable turning point in the EKC model for Ukraine, key parameters of its leading economic sectors have to be managed. Such industries for Ukraine are: processing; mining and quarry development; agriculture, forestry and fisheries; supply of electricity, gas, steam and conditioned air; transport, warehousing, post and courier service. It has been proved that sustainable turning point was not reached because mining, transport, warehousing, post and courier services, agriculture, forestry and fisheries put back. It has been demonstrated that processing industry and energy are the priority sectors for the development of Ukraine's economy, because they have the predominant economic conditions to get higher added value compared with mining, and Ukraine's agricultural capacity could be used to increase wages of the sector`s staff. It has been determined that transport sector`s negative trends are explained by few environmentally friendly vehicles in Ukraine and, as a result, higher recent emissions of air pollutants. Conclusions. It has been proved that EKC for Ukraine could be built on the basis of correlation between sulfur dioxide, nitrogen dioxide, oxide, carbon dioxide emissions and income per capita in Ukraine. It has been found out that Kuznets curve in Ukraine is "point"-like. The EKC based on correlation between emissions of air pollutants and average nominal income per capita in the leading sectors of the national economy has been proposed. It has been proved that it is possible to ensure sustainable development of Ukraine's economy by greening production within the existing structure of the national economy based on sectoral capital investment and intensification of government support policy of environment.


2012 ◽  
pp. 229-254
Author(s):  
Matteo Ferraris

This paper provides a specific application of the Environmental Kuznets Curve (EKC) theory in order to explain the correlation between income and household waste generation. The model highlights an inverted U-shaped path of income-refuse relationship that verifies the existence of EKC depending on the effort of household recycling and consumption. The existence of delinking can derive by income and other socio economic variables that affect the shape of the curve. This model would be a particular application of the theory of delinking with the intent to be empirically implemented.


Energies ◽  
2019 ◽  
Vol 12 (17) ◽  
pp. 3289 ◽  
Author(s):  
Vasylieva ◽  
Lyulyov ◽  
Bilan ◽  
Streimikiene

The paper investigates the relationships between economic, social, and environmental dimensions of sustainable development. GDP growth represents the main economic dimension, greenhouse gas (GHG) emissions and renewable energy consumption the environmental dimension, and corruption the social dimension of sustainable development. The investigation of these relationships is based on the concept of the Environmental Kuznets Curve hypothesis about the non-linear relationship between economic growth and environmental pollution. The authors used the panel data of EU countries and Ukraine for 2000–2016 years from the Eurostat database. The obtained results confirmed the Environmental Kuznets curve hypothesis for the EU and Ukraine. All the indicators were statistically significant at 1% and 5% levels. The findings proved that increasing renewable energy (RE) by 1% led to a decline of GHG in the interval (0.166103, 0.220551), and аn increase of the Control of Corruption Index by 1% provoked a decline of GHG by 0.88%. The conducted study enabled the authors to conclude that Ukraine needs to increase the GDP level per capita given the economy diversification and via the introduction of more effective and “clean” production technologies.


Ekonomika ◽  
2004 ◽  
Vol 65 ◽  
Author(s):  
Remigijus Čiegis

he relationship of economic growth and environmental impact has spurred fierce debates between growth optimists referring to the phenomenon of the environmental Kuznets curve, and pessimists referring to the limits to growth. The article draws some hints from a critical assessment of the literature on the environmental Kuznets curve. In particular, it is argued that the optimistic implications of this literature on the sustainability management are ungranted. However, analysis of environmental Kuznets curves allows a clarification of the few basic conditions for the management of sustainable development, including the sustainability of globalisation. These conditions can be met by implementing a systematic policy strategy aimed at shifting the Kuznets relations downward.


2021 ◽  
Vol 7 ◽  
pp. 6119-6129
Author(s):  
Bright Akwasi Gyamfi ◽  
Tomiwa Sunday Adebayo ◽  
Festus Victor Bekun ◽  
Ephraim Bonah Agyekum ◽  
Nallapaneni Manoj Kumar ◽  
...  

2021 ◽  
Vol 20 ◽  
pp. 110
Author(s):  
Patricia Aguado ◽  
Jinhwan Oh

Using an up-to-date panel dataset that covers 88 countries over a 38-year period (1991–2018), this paper revisits the Environmental Kuznets Curve (EKC) to measure environmental degradation (CO2, methane, nitrous Oxide, PM 2.5, HFC, PFC and SF6) in relation to GDP per capita. This study confirms the inverted-U relation for CO2 emissions, with the estimated turning point at $13,233, but also identifies a U relation in the case of PM 2.5. Furthermore, in a regional analysis of both CO2 and PM 2.5, with special reference to the MENA region, it finds gaps between actual CO2 emissions and their fitted values. We observe that Libya, Iran, Iraq, Jordan, Lebanon, and Algeria show average ratios higher than 1, meaning the actual values are higher than the fitted ones and therefore these countries face more serious pollution problems. Based on this finding, we recommend the implementation of policies in this region that aim to reach energy efficiency as well as the development of eco-friendly and sustainable technologies.  


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