Evolution of Romania’s Economic Structure and Environment Degradation – An Assessment Through LMDI Decomposition Approach

Vasile, A. J.; Avram, Sorin; Băncescu, Irina; Deac, Ioan I Gâf; Gheorghe, Carmen

doi:10.2147/rmhp.s299617

Cited by 5 publications

(4 citation statements)

References 45 publications

(31 reference statements)

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“…For example, Romania has experienced an efficiency loss due to a technology change. This situation is confirmed by the increased sales of pesticides and chemical fertilizers (Andrei et al, 2021). As such, Romania needs to tackle its N 2 O reduction emission targets from agriculture activities by changing the technology use and keeping in mind the necessity of increasing efficiency.…”

Section: Discussionmentioning

confidence: 99%

Decoupling of CO2, CH4, and N2O agriculture emissions in the EU

Andrei¹,

Avram²,

Băncescu

et al. 2022

Front. Environ. Sci.

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This research addresses the problem of CO2, CH4, and N2O emissions in the EU for the 2008–2018 period, and their contributing factors, through extensive and complex analysis. The research incubated in the manuscript answers the question of whether new state members managed to catch up with old state members regarding technology innovation and mitigation of N2O emissions from agriculture activities. The methodology used includes Tapio decoupling index and the metafrontier non-radial Malmquist N2O emission performance index. The research considers short-term, medium-term, and long-term decoupling analyses. Results suggest a shift of decoupling status is worse for the 2013–2018 period compared to the 2008–2013 period which should concern low-carbon agriculture policy-makers. Also, it was noticed an increase in total-factor N2O emission performance for the 2008–2018 period. New state members managed to catch up with old state members regarding technology innovation and mitigation of N2O emissions from agricultural activities; however, not all countries managed to do so. For example, Romania has experienced an efficiency loss due to a technology change and from this perspective, Romania should address first managing N2O and CO2 emissions. The findings extend the traditional framework of investigating the effects of CO2, CH4, and N2O in agriculture and highlight the necessity of addressing environmental aspects from a broader perspective of the policymakers and in developing innovative decoupling indexes. The research investigation is reporting from a post-transition country by prioritizing the measures to be implemented.

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Section: Discussionmentioning

confidence: 99%

Decoupling of CO2, CH4, and N2O agriculture emissions in the EU

Andrei¹,

Avram²,

Băncescu

et al. 2022

Front. Environ. Sci.

Self Cite

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“…Source resolution [5][6][7][8], meteorological factors [9][10][11][12][13], and socio-economic factors [14][15][16][17][18] have been the key areas of attention in recent research on the factors that influence PM 2.5 emissions. From the standpoint of source apportionment, some papers have used positive definite matrix factorization (PMF) and chemical mass balance modeling (CMB) to study the origin of PM 2.5 emissions [19], concluding that coal combustion sources and motor vehicle sources are important factors affecting PM 2.5 emissions.…”

Section: Introductionmentioning

confidence: 99%

Simulation and Forecasting Study on the Influential Factors of PM2.5 Related to Energy Consumption in the Beijing–Tianjin–Hebei Region

Li,

Shi,

Sun

et al. 2024

Sustainability

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It is still necessary to regularly investigate the breakdown of socio-economic elements as a starting point for analyzing the effects of diverse human production activities on PM2.5 intensity from industrial and regional viewpoints. In this paper, the emission factor model was adopted to measure PM2.5 emissions in the Beijing–Tianjin–Hebei (BTH) region at the regional and industrial levels. The logarithmic mean Divisia index (LMDI) decomposition model was employed to analyze the factors affecting PM2.5 emissions related to energy consumption in the BTH region at the regional and sectoral levels. Building on this foundation, a system dynamics (SD) model was established to make a prediction regarding PM2.5 pollution in the BTH region in 2025. This study found that secondary industry was a major source of PM2.5 emissions in the BTH region. Coal remained the main form of energy consumption in the BTH region. Secondly, the effect size of the factors affecting PM2.5 intensity ranked in the order of energy intensity, energy structure, and industrial structure. Thirdly, in 2025, PM2.5 emissions in the BTH region will decline appreciably, but there is still a certain gap in terms of meeting the targets of “the 14th Five-Year Plan” between the three provinces and cities. These results indicate that the BTH region should achieve the effective management of PM2.5 pollution at the source through the following initiatives: it is necessary to carry out the continuous adjustment of energy structures to gradually increase the proportion of clean energy; we must steadily promote the decline in energy intensity reduction, and gradually strengthen scientific and technological innovation; and we must continue to promote the optimization of the industrial structure and increase the proportion of tertiary industry every year.

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“…Among the specific objectives are: the repositioning of the mining field within the general system of industries of maximum societal interest, environmental protection, risk management, closure of mines, greening and their post-exploitation monitoring, socio-economic regeneration of mining communities in mono-industrial. (Andrei, J.V., Gâf-Deac. I.I., et al, 2021), [2] Extrapolating these aspects, it can be deduced that for the mining/energy sector with a high degree of complexity as well as the non-energy sector, the issues and objectives are similar.…”

Section: Introductionmentioning

confidence: 99%

“…(Andrei, J.V., Gâf-Deac. I.I., et al, 2021), [2] Extrapolating these aspects, it can be deduced that for the mining/energy sector with a high degree of complexity as well as the non-energy sector, the issues and objectives are similar.…”

Section: Introductionmentioning

confidence: 99%

The Complex System of Mining and Energy Resources: Premises for Clusterization

et al. 2023

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The article shows that when dealing with many enterprises in mining areas, it is necessary to search for methods of efficiency, ways of maximizing the utility of their operation in accordance with the requirements for the consumption of useful mineral substances, primary energy resources and energy and in relation to their production potential. Clustering in the complex system of mining and energy resources is an approach that refers to geographical concentrations of interconnected companies and institutions in a certain field (mining and energy), related industries and entities for competition. Mainly, the authors deal with issues related to conceptual approaches related to clustering, anthropogenic impacts and mining/energy clustering, the delimitation of “clusters - links - infrastructure” alignments for the promotion of the mining and energy industry / economy in a collaborative regime. The conclusions are useful to the developers of strategies, tactics and programs in the field of the new industry and mining/energy economies in Romania and in other reference countries studied by the authors from the perspective of the article’s theme.

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Evolution of Romania’s Economic Structure and Environment Degradation – An Assessment Through LMDI Decomposition Approach

Cited by 5 publications

References 45 publications

Decoupling of CO2, CH4, and N2O agriculture emissions in the EU

Decoupling of CO2, CH4, and N2O agriculture emissions in the EU

Simulation and Forecasting Study on the Influential Factors of PM2.5 Related to Energy Consumption in the Beijing–Tianjin–Hebei Region

The Complex System of Mining and Energy Resources: Premises for Clusterization

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