Driving factors and predictions of CO2 emission in China's coal chemical industry

Zhang, Lingyun; Shen, Qun; Wang, Minquan; Sun, Nannan; Wei, Wei; Lee, Yang; Wang, Yangjun

doi:10.1016/j.jclepro.2018.10.352

Cited by 81 publications

(20 citation statements)

References 26 publications

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“…As previously indicated, consumption of oil, natural gas, and coal is not only the major contributors of air pollution in Russia, but it also contributes a pivotal part in the global carbon cycle because it covers one-eighth of the world's land area and also the largest area of the earth (Kudeyarov 2018). In addition, CO 2 emissions not only impacts negatively on air pollution and the climate but also affect human health, as reported by Wang et al (2019) in respect of Pakistan. Our ndings correspond with and support those of several recent empirical studies, especially those conducted by Yu et al (2020) on China; Muhammad (2019) on Middle Eastern and North African countries; and Adjei et al (2019) on African countries, which all con rm high rates of economic growth, fossil fuel energy consumption, and carbon emissions.…”

Section: Long and Short-term Relationship Estimationmentioning

confidence: 98%

How Do Natural Gas, Oil, and Coal Consumption Contribute to Environmental Degradation? An Empirical Investigation in Russia

Kanat

Yan

Asghar

et al. 2021

Preprint

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Environmental degradation sourced by conventional energy sources is not only a major factor behind climate change but also poses an adverse impact on human health. Undoubtedly, fossil fuels are major drivers of economic growth; however, their detrimental environmental impacts are of global scope, affecting the inhabitants of the whole world. In the literature, there is no comprehensive empirical evidence on the linkage between different energy sources and CO2 emissions in Russia which is among the top five CO2 emitting nations. Thus, this paper aims to quantify the relationships between oil consumption, natural gas consumption, coal consumption, and CO2 emission controlling economic growth in Russia. The findings indicate that CO2 emissions in Russia are cointegrated with oil, gas, coal, and economic growth. The long-run outcomes unfold that Russian economic growth is not directly harmful to environmental quality; however, the consumption of oil, gas, and coal upsurge the level of CO2 emissions. In addition, we conducted Granger causality tests for causal interaction analysis. The findings on the Russian data confirm the existence of both long and short-term causal connections with the country’s economic growth, disaggregated fossil fuel consumption, and CO2 emissions. In conclusion, we directed several policy recommendations to address the challenges and threats posed by energy-related emissions without adversely impacting economic growth in Russia. These policies could also be advantageous to other countries, especially those with close Russian links.

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Section: Long and Short-term Relationship Estimationmentioning

confidence: 98%

How Do Natural Gas, Oil, and Coal Consumption Contribute to Environmental Degradation? An Empirical Investigation in Russia

Kanat

Yan

Asghar

et al. 2021

Preprint

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“…ere are also some other papers studying eliminating backward production capacity from different industries, like the energy-intensive manufacturing industry [37], coal chemical industry [38], iron and steel industry [39], and cement industry [40].…”

Section: Literature Reviewmentioning

confidence: 99%

The Elimination Effect of Take-Back Regulation on Backward Production Capacity Remanufacturing Supply Chains

Xintong

Wei

et al. 2021

Mathematical Problems in Engineering

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With more and more end-of-life products in daily life, many companies are engaging in remanufacturing, including backward production capacity (BPC) enterprises. Meanwhile, take-back regulation always asks the manufacturer to take back end-of-life products to reduce pollution. However, the effect of take-back regulation on remanufacturers remains unclear. In this paper, we first analyzed the take-back regulation threshold with the elimination effect. We then discussed the impact on stakeholders, such as the manufacturer, the remanufacturer, consumers, and the government. A two-stage dynamic market model is proposed, which considers the market with/without BPC remanufacturer. Take-back regulation’s elimination effect is studied, and the results show that when the collection target reaches the elimination threshold, the manufacturer’s profit declines, the BPC remanufacturer is eliminated, consumer surplus decreases, and social welfare is improved. Besides, to cope with a high take-back regulation target, the manufacturer will reduce new product output, which leads to BPC remanufacturer’s benefits decline. A numerical study is given with a different collecting strategy of the BPC remanufacturer, the incentive interval, the inhibition interval, and the elimination interval of the take-back regulation for stakeholders which are described. At last, some managerial insights are given to help the regulator implement take-back regulation.

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“…Lin et al [26] decomposed and analyzed the changes of energy-related CO 2 in China's textile industry and found that industrial activities and energy intensity were the main determinants of carbon dioxide emissions. Zhang et al [27] used LMDI decomposition method to explore the main driving factors of China's coal chemical industry's carbon dioxide emissions. The study found that economic growth and energy intensity are the main factors leading to the increase of carbon dioxide emissions and the industrial structure is the main factor for carbon dioxide reduction.…”

Section: Energy Consumption and Factors That Affect Carbon Emissionsmentioning

confidence: 99%

Analysis of CO2 Emissions in China’s Manufacturing Industry Based on Extended Logarithmic Mean Division Index Decomposition

et al. 2019

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China is the world’s largest emitter of CO2. As the largest sector of China’s fossil energy consumption and carbon emissions, manufacturing plays an important role in achieving emission reduction targets in China. Using the extended logarithmic mean division index (LMDI) decomposition model, this paper decomposed the factors that affect the CO2 emissions of China’s manufacturing industry into eight effects. The results show the following: (1) China’s manufacturing CO2 emissions increased from 1.91 billion tons in 1995 to 6.25 billion tons in 2015, with an average annual growth rate of 6%. Ferrous metal smelting and rolling were the largest sources of carbon dioxide emissions, followed by chemical raw materials and products and then non-metallic minerals. (2) During the research period, the industrial activity effects were the most important factor leading to increased CO2 emissions in manufacturing and energy intensity was the most important factor in promoting the reduction of CO2 emissions from manufacturing. The investment intensity was the second most influential factor leading to the increase in China’s manufacturing CO2 emissions after the industrial scale and this even exceeded the industrial activity effect in some time periods (2000–2005). R&D efficiency and R&D intensity were shown to have significant roles in reducing CO2 emissions in China’s manufacturing industry. The input of R&D innovation factors is an effective way to achieve emission reductions in China’s manufacturing industry. (3) There were differences in the driving factors of CO2 emissions in the manufacturing industry in different periods that were closely related to the international and domestic economic development environment and the relevant policies of the Chinese government regarding energy conservation and emission reduction. (4) Sub-sector research found that the factors that affect the reduction of CO2 emissions in various industries appear to be differentiated. This paper has important policy significance to allow the Chinese government to implement effective energy-saving and emission reduction measures and to reduce CO2 emissions from the manufacturing industry.

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Driving factors and predictions of CO2 emission in China's coal chemical industry

Cited by 81 publications

References 26 publications

How Do Natural Gas, Oil, and Coal Consumption Contribute to Environmental Degradation? An Empirical Investigation in Russia

How Do Natural Gas, Oil, and Coal Consumption Contribute to Environmental Degradation? An Empirical Investigation in Russia

The Elimination Effect of Take-Back Regulation on Backward Production Capacity Remanufacturing Supply Chains

Analysis of CO2 Emissions in China’s Manufacturing Industry Based on Extended Logarithmic Mean Division Index Decomposition

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