Revisiting the impacts of economic growth on environmental degradation: new evidence from 115 countries

Uddin, Mirza Md Moyen

doi:10.1007/s10651-020-00479-9

Cited by 17 publications

(9 citation statements)

References 73 publications

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“…On the other hand, when the economy develops to a certain extent, the social costs caused by environmental pollution are higher than other social costs, which prompts the government and individuals to provide the necessary financial and human support for environmental improvement. Mirza et al [ 27 ] argue that energy consumption and economic growth have increased environmental pollution and that improving energy efficiency and reducing the use of fossil fuels are effective measures to reverse regional environmental degradation. Meanwhile, as the environment is the carrier of resources, the improvement of environmental quality effectively improves the stock and quality of resources, promotes economic development and meets people’s living needs; on the contrary, the deterioration of environmental quality restricts economic development by reducing the stock and quality level of resources.…”

Section: Analysis Of Coordinated Development Mechanism Of Pree Systemmentioning

confidence: 99%

Temporal–Spatial Evolution and Influencing Factors of Coordinated Development of the Population, Resources, Economy and Environment (PREE) System: Evidence from 31 Provinces in China

Cao

Zhang

Wei

et al. 2021

IJERPH

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Facing the increasingly severe friction among the domains of population, resources, economy and environment (PREE) in a system, theoretical guidance for the sustainable development of a PREE system can be obtained by exploring the coordinated development of a PREE system during its temporal–spatial evolution process. Based on the PREE data of 31 provinces in China from 2010 to 2019, this study uses a spatial measurement method to analyze the temporal and spatial evolution characteristics of the PREE systems of China’s provinces. The results show that the overall coordination level of China’s provincial PREE systems fluctuated but improved from moderate imbalance to moderate coordination. However, the differences in the regional coordination level first decreased and then increased. The distribution characteristics of the system coordination level changed from “high in the east and low in the west” to “high in the west and low in the east”, resulting in the “inversion” phenomenon of the system coordination level. The spatial correlation of the coordination level of the PREE system among provinces and cities gradually increased. The coordination level of the PREE system in the eastern, central and western regions was noticeably different, accompanied by different degrees of polarization and showing different dynamic evolution trends. In the analysis of influencing factors, it was found that seven factors, such as per capita GDP, the proportion of environmental pollution control investment to GDP and per capita energy production, promoted the coordinated development of China’s PREE system to varying degrees. The coordinated and stable development of China’s PREE system should be adjusted and optimized from the perspectives of different regions, scales and systems.

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Section: Analysis Of Coordinated Development Mechanism Of Pree Systemmentioning

confidence: 99%

Temporal–Spatial Evolution and Influencing Factors of Coordinated Development of the Population, Resources, Economy and Environment (PREE) System: Evidence from 31 Provinces in China

Cao

Zhang

Wei

et al. 2021

IJERPH

View full text Add to dashboard Cite

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“…Global climate change is a burning issue due to the atmospheric concentrations of greenhouse gases (GHGs) dominated by CO 2 which is largely emitted from human induced activities like the combustion of fossil fuels and deforestation (IPCC 2014 ; Begum et al 2020 ; Uddin 2021 ; Çıtak et al 2021 ). The continuous increase in CO 2 emissions is projected to have tremendous effects on the global climate system resulting in catastrophic consequences that will impact all aspects of society (Seriño 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Dynamic impacts of energy use, agricultural land expansion, and deforestation on CO2 emissions in Malaysia

et al. 2022

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This study empirically investigates the nexus among energy use, agricultural land expansion, deforestation, and carbon dioxide (CO 2 ) emissions in Malaysia. Time series data from 1990 to 2019 were utilized using the bounds testing (ARDL) approach followed by the Dynamic Ordinary Least Squares (DOLS) method. The DOLS estimate findings show that the energy usage coefficient is positive and significant with CO 2 emissions, indicating a 1% increase in energy consumption is related to a 0.91% rise in CO 2 emissions. In addition, the coefficient of agricultural land is positive, which indicates that agricultural land expansion by 1% is associated with an increase in CO 2 emissions by 0.84% in the long run. Furthermore, the forested area coefficient is negative, which means that decreasing 1% of the wooded area (i.e., deforestation) has a long-term effect of 5.41% increased CO 2 emissions. Moreover, the pairwise Granger causality test results show bidirectional causality between deforestation and energy use; and unidirectional causality from energy use to CO 2 emissions, agricultural land expansion to CO 2 emissions, deforestation to CO 2 emissions, agricultural land expansion to energy use, and deforestation to agricultural land expansion in Malaysia. The empirical findings reveal that increased energy use, agricultural land expansion, and deforestation have a negative impact on environmental quality in Malaysia. Thus, the effective implementation of policy measures to promote renewable energy, climate-smart agriculture, and sustainable management of forest ecosystems could be useful for reducing environmental degradation in Malaysia.

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“…For the case of BRICS states, this study will help develop a better understanding of the cyclical or asymmetrical relationship between GSTR and CO 2 e. This study's findings can assist government agencies in understanding the linkage between positive and negative shocks to GSTR and CO 2 e. Second, this research establishes a conceptual framework for examining the theoretical relationship between CO 2 e and green and sustainable technology research. Third, previous studies have invested the relation among different factors of environmental pollution using the environmental Kuznets curve (EKC) framework (e.g., Moutinho et al 2020;Mrabet et al 2017;Uddin 2021); Li et al 2021;Zhou et al 2018) or the STIRPAT model (e.g., Liddle 2011; Koçak and Ulucak 2019; Wen and Shao 2019). However, this work proposes a novel theoretical and empirical model for the relationship between GSTR and CO 2 e.…”

Section: Introductionmentioning

confidence: 99%

The cyclical impact of green and sustainable technology research on carbon dioxide emissions in BRICS economies

Khattak

Ahmad

2021

Environ Sci Pollut Res

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This paper explored the asymmetrical relationships between green and sustainable technology research and environmental sustainability among the BRICS states from 1990 to 2018. The data was analyzed by second-and third-generation economic techniques such as slope heterogeneity and cross-section independence test, unit root test, structural break unit root test, panel cointegration with structural breaks cointegration tests, cross-section autoregressive distributed lags technique, augmented mean group, and Dumitrescu-Hurlin panel causality test. First, the results validated a long-run cointegration among variables. Second, the results showed that renewable energy consumption and positive shocks to green and sustainable technology research are proper to mitigate carbon dioxide emissions (short-and long-run). Third, gross domestic product, foreign direct investment, exports, and negative shocks to green and sustainable technology research increase carbon dioxide emissions. Fourth, the nexus between green and sustainable technology research and carbon dioxide emissions was counter-cyclical during economic expansion and contraction periods. Fifth, the impact of positive shocks to green and sustainable technology research on carbon dioxide emissions was more than the impact of negative shocks to green and sustainable technology research on carbon dioxide emissions. KeywordsGreen technologies • Innovation in environmental-related technologies • Business cycles • Foreign direct investment • Gross domestic investment * Manzoor Ahmad

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Revisiting the impacts of economic growth on environmental degradation: new evidence from 115 countries

Cited by 17 publications

References 73 publications

Temporal–Spatial Evolution and Influencing Factors of Coordinated Development of the Population, Resources, Economy and Environment (PREE) System: Evidence from 31 Provinces in China

Temporal–Spatial Evolution and Influencing Factors of Coordinated Development of the Population, Resources, Economy and Environment (PREE) System: Evidence from 31 Provinces in China

Dynamic impacts of energy use, agricultural land expansion, and deforestation on CO2 emissions in Malaysia

The cyclical impact of green and sustainable technology research on carbon dioxide emissions in BRICS economies

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