“…The past few decades have witnessed rapidly rising carbon dioxide (CO 2 ) emissions across the globe, with a strong surge from 11,207.7 million tons in 1965 to 34,169.0 million tons in 2019, based on statistics from BP (formerly British Petroleum) (BP, 2020). Accordingly, the global community has started to pay attention to environmental problems associated with increasing CO 2 emissions, and in an attempt to bring these problems under control, many nations around the world have implemented a series of measures to address global climate change (Dong et al, 2020a,b, Ma et al, 2020, Wei et al, 2021, Zhao et al, 2021a.…”
Financial development has been widely proved to be a key driver of economic growth; however, its environmental impact is still inconclusive, especially for G-7 countries (i.e. Canada, France, Germany, Italy, Japan, the United Kingdom (UK), and the United State (US)). This paper, therefore, investigates the time-varying impact of financial development on carbon dioxide (CO 2 ) emissions for G-7 countries over a long historical period. The study analyzes historical data from 1870 to 2014 for each country using bootstrap time-varying co-integration (TVC) and bootstrap rolling window estimation approaches. In addition, the polynomial trends of the estimated parameters are obtained to observe the relationship between financial development and carbon emissions. The empirical findings reveal that the impact of financial development on CO 2 emissions over a long history is M-shaped in Canada, Japan, and the US; inverted N-shaped in France, Italy, and the UK; and inverted M-shaped (W-shaped) in Germany. This empirical evidence opens new directions for policy makers to design comprehensive economic policy for using the financial sector as an economic tool to keep environmental quality at sustainable levels.
“…The past few decades have witnessed rapidly rising carbon dioxide (CO 2 ) emissions across the globe, with a strong surge from 11,207.7 million tons in 1965 to 34,169.0 million tons in 2019, based on statistics from BP (formerly British Petroleum) (BP, 2020). Accordingly, the global community has started to pay attention to environmental problems associated with increasing CO 2 emissions, and in an attempt to bring these problems under control, many nations around the world have implemented a series of measures to address global climate change (Dong et al, 2020a,b, Ma et al, 2020, Wei et al, 2021, Zhao et al, 2021a.…”
Financial development has been widely proved to be a key driver of economic growth; however, its environmental impact is still inconclusive, especially for G-7 countries (i.e. Canada, France, Germany, Italy, Japan, the United Kingdom (UK), and the United State (US)). This paper, therefore, investigates the time-varying impact of financial development on carbon dioxide (CO 2 ) emissions for G-7 countries over a long historical period. The study analyzes historical data from 1870 to 2014 for each country using bootstrap time-varying co-integration (TVC) and bootstrap rolling window estimation approaches. In addition, the polynomial trends of the estimated parameters are obtained to observe the relationship between financial development and carbon emissions. The empirical findings reveal that the impact of financial development on CO 2 emissions over a long history is M-shaped in Canada, Japan, and the US; inverted N-shaped in France, Italy, and the UK; and inverted M-shaped (W-shaped) in Germany. This empirical evidence opens new directions for policy makers to design comprehensive economic policy for using the financial sector as an economic tool to keep environmental quality at sustainable levels.
“…As shown in Figure 4 , the distributions of PE-HM emissions in China are extremely uneven ( Wei et al., 2021 ). Provinces with rich coal resources or large-scale coal-fired power generations (such as Inner Mongolia, Shanxi Shandong, Jiangsu, Guangdong, Henan, and Hebei) have higher PE-HM emissions.…”
Section: Resultsmentioning
confidence: 99%
“…As shown in Figure 4, the distributions of PE-HM emissions in China are extremely uneven (Wei et al, 2021). Provinces with rich coal resources or large-scale coal-fired power generations (such as Inner Mongolia, The SE-HM emissions of Beijing and Hebei were far higher than their PE-HM emissions as these two regions rely heavily on coal-fired electricity from other provinces, while the PE-HM emissions of Shanxi and Inner Mongolia were higher than their SE-HM emissions as these two provinces sold large volumes of coal-fired electricity to other regions.…”
Section: Hm Emissions Under Different Perspectives Vary Substantiallymentioning
confidence: 99%
“…Meanwhile, these CFPPs are a major source of various air pollutants, including heavy metal (HM) emissions, sulfur dioxide, particular matters and nitrogen oxides, which pose serious threats to human health ( Chen et al., 2019 ; Feng et al., 2013 ; Jiang et al., 2020 ; Zhu et al., 2016 ). Although the Chinese government has made great achievements in the green transformation of its power sector ( Li et al., 2020 ; The State Council, 2013 ; Wei et al., 2021 ), it is still challenging to control the increasing HM emissions from CFPPs ( Li et al., 2019 ; Tian et al., 2011 ).…”
HighlightsDeclining HM emission factors greatly offset China's HM emission growth.Regional HM emissions under different perspectives varied substantially.Power transmission and regional trade caused large-scale HM emission flows.Developed provinces transferred HM emissions to less developed provinces.
“…The average performance of the technical effect is 1.5804 million tons, and the overall impact is an emission increase, with a large contribution to carbon emissions. This can be reduced by improving the energy use efficiency, which is an important reference factor for effective emission reduction (Wei et al, 2021). Technology is directly linked to the carbon emission intensity, which suppresses carbon emissions by improving the production capacity and equipment efficiency to achieve an effective use of energy (Chen et al, 2020).…”
Xinjiang production and Construction Corps (XPCC) is an important provincial administration in China and vigorously promotes the construction of industrialization. However, there has been little research on its emissions. This study first established the 1998-2018 XPCC subsectoral carbon emission inventory based on the Intergovernmental Panel on Climate Change (IPCC) carbon emission inventory method and adopted the logarithmic mean Divisia indexmethod (LMDI) model to analyze the driving factors. The results revealed that from 1998 to 2018, the total carbon emissions in the XPCC increased from 6.11 Mt CO2 in 1998 to 115.71 Mt CO2 in 2018. For the energy structure, raw coal, coke and industrial processes were the main contributors to carbon emissions. For industrial structure, the main emission sectors were the production and supply of electric power, steam and hot water, petroleum processing and coking, raw chemical materials and chemical products, and smelting and pressing of nonferrous metals. In addition, the economic effect was the leading factor promoting the growth of the corps carbon emissions, followed by technical and population effects. The energy structure effect was the only factor yielding a low emission reduction degree. This research provides policy recommendations for the XPCC to formulate effective carbon emission reduction measures, which is conducive to the construction of a low-carbon society. Moreover, it is of guiding significance for the development of carbon emission reduction actions for the enterprises under the corps and provides a reference value for other provincial regions.
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