Revising the Environmental Kuznets Curve for Deforestation: An Empirical Study for Bulgaria

Tsiantikoudis, Stavros; Zafeiriou, Eleni; Kyriakopoulos, Grigorios L.; Arabatzis, Garyfallos

doi:10.3390/su11164364

Cited by 54 publications

(27 citation statements)

References 56 publications

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“…Further, Waluyo and Terawaki (2016) found an inverted "U" shaped EKC for deforestation in Indonesia, with the income turning point estimated at $990. Using carbon dioxide emissions from deforestation as an index for environmental degradation, Tsiantikoudis et al (2019) found evidence of an inverted "N" shaped EKC in the short and long run, contrary to the standard EKC which is inverted "U" shaped. Ahmed and Long (2012) found evidence of an inverted "U" shaped EKC for deforestation for Pakistan.…”

Section: Introductionmentioning

confidence: 94%

Does the environmental Kuznets curve for deforestation exist for Ghana? Evidence from the bootstrap rolling window Granger causality test approach

Minlah

Zhang

Ganyoh³

et al. 2021

FER

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PurposeThis study investigates the existence of the environmental Kuznets curve (EKC) for deforestation for Ghana over the 1962–2018 the time period.Design/methodology/approachThe study employs a time-varying approach, the bootstrap rolling window Granger causality test to achieve its set objectives.FindingsThe results from our study reveals an inverted “N” shape EKC for deforestation, implying that deforestation will initially decrease with increases in economic growth up to a certain income threshold and increases with further increases in economic growth beyond this income threshold up to a higher income threshold and then decrease with further increases in economic beyond the higher income threshold.Practical implicationsThe results from the study project show that over time economic growth can serve as a natural panacea to cure and mitigate the ills of deforestation that have plagued Ghana's forests over the years.Social implicationsThe results further highlight the important role of strong institutions in fighting the deforestation menace.Originality/valueThe originality of this study lies in its methodology which allows for feedback from deforestation to the economy. This is in contrast to earlier studies on the EKC for deforestation which allowed causality only from deforestation to the economy.

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Section: Introductionmentioning

confidence: 94%

Does the environmental Kuznets curve for deforestation exist for Ghana? Evidence from the bootstrap rolling window Granger causality test approach

Minlah

Zhang

Ganyoh³

et al. 2021

FER

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“…However, resource use is distinguished into four categories: usage of material, water, land, energy, and climate change. Modern agriculture faces significant challenges, including extreme water supply and fertiliser impacts (Zamparas et al, 2019a), deforestation (Tsiantikoudis et al, 2019), GHG emissions (Kyriakopoulos & Chalikias, 2013, Kyriakopoulos et al, 2010, soil erosion, eutrophication (Zamparas et al, 2019b), and water pollution ( (Zamparas et al, 2020). Also, resource use efficiency means allocating and using various scarce resources to reach benefits.…”

Section: Classification Articles Based On Resource Efficiencymentioning

confidence: 99%

Green productivity and undesirable outputs in agriculture: a systematic review of DEA approach and policy recommendations

Štreimikis¹,

Saraji

2021

Economic Research-Ekonomska Istraživanja

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Measuring efficiency in the presence of undesirable outputs could be difficult depending on how to treat these outputs; thus, undesirable outputs modelling has been an exciting subject of several studies in the Data envelopment analysis (DEA) literature in the last two decades. The present study aims to illustrate a thorough overlook of studies in which DEA has applied for measuring efficiency with undesirable outputs. Fifty-eight articles were published from 2000 to 2020 have been systematically reviewed through PRISMA protocol. The results indicated that "Journal of Cleaner Production" ranked first with six published articles, and Chinese scholars have the most contributions to this field, with twenty-third articles. Also, almost a quarter of the published articles' scope was related to agricultural pollution, and thirteen articles were published in 2016, the highest number of published articles annually. Taken together, the theoretical and empirical implications of research in the field of Green Productivity are discussed, and some policies were recommended.

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“…The Environmental Kuznets Curve (EKC) affirmed that industrial growth without GHG is increasing in most European countries. Tsiantikoudis S. et al [1] stated that the results of the ARDL approach cannot validate the inverted U-shape of the EKC hypothesis, but an inverted N-pattern was confirmed. This was attributed to a change in the energy consumption structure.…”

Section: Introductionmentioning

confidence: 98%

Evolution of Green Industrial Growth between Europe and China based on the Energy Consumption Model

2019

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Greenhouse gas (GHG) emissions are an important factor in the evaluation of green industrial growth, when low GHG emissions along with high industrial growth are expected. In this paper, the improvement of sustainable development of industry in China (2007–2015) was investigated via analysis of the relationships between the GHG emissions and energy consumption in comparison to European countries. A hierarchical cluster analysis (HCA) was conducted to distinguish industrial growth with GHG emission and energy consumption structures. The results of this research indicated that green industrial growth in Europe had a negative annual rate of GHG emissions. This contributed to the ratio of renewable energy consumption increasing to a maximum of 33% and an average of 16%. In comparison, the GHG emissions in China increased at a rate of 50% to 77% in the main industrial provinces since 2007 with their rapid industrial growth. The rate of GHG emissions decreased after 2012, which was 7% or less than the rate of emissions in the industrial provinces. Contrary to in Europe, the decreasing rate of GHG emissions in China was attributed to the improvement of fossil energy efficiency, as renewable energy consumption was less than 10% in most industrial provinces. Our data analysis identified that the two different energy consumption strategies improved green industrial growth in Europe and China, respectively. Our data analysis identified the two different energy consumption strategies employed by Europe and China, each of which promoted green industrial growth in the corresponding areas. We concluded that China achieved green industrial growth through an increase in energy efficiency through technology updates to decrease GHG emissions, which we call the “China Model.” The “Europe Model” proved to be quite different, having the core characteristic of increasing renewable energy use.

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Revising the Environmental Kuznets Curve for Deforestation: An Empirical Study for Bulgaria

Cited by 54 publications

References 56 publications

Does the environmental Kuznets curve for deforestation exist for Ghana? Evidence from the bootstrap rolling window Granger causality test approach

Does the environmental Kuznets curve for deforestation exist for Ghana? Evidence from the bootstrap rolling window Granger causality test approach

Green productivity and undesirable outputs in agriculture: a systematic review of DEA approach and policy recommendations

Evolution of Green Industrial Growth between Europe and China based on the Energy Consumption Model

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