CO2 emissions and their spatial patterns of Xinjiang cities in China

Cui, Can; Shan, Yuli; Liu, Jianghua; Yu, Xiang; Wang, Hong-Tao; Wang, Zhen

doi:10.1016/j.apenergy.2019.113473

Cited by 36 publications

(8 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, the results show that energy structure and energy efficiency are able to reduce CO 2 emission in Iran. That is, Iran by adjusting its energy structure from pure fossil fuel to natural gas improved energy efficiency and has been able to protect the environment from greater levels of CO 2 emission, which is one of the solutions toward a low‐carbon economy 50–52 . These findings are not consistent with the results of Lin and Benjamin's 53 study for China that argued that energy structure and energy efficiency are able to increase carbon emission.…”

Section: Resultsmentioning

confidence: 81%

A CO₂ emissions assessment of the green economy in Iran

Solaymani

2020

Greenhouse Gases

View full text Add to dashboard Cite

This study aims to provide an assessment of total and sectoral CO2 emissions of Iran using a macroeconomic climate analysis. It uses two quantitative approaches (i.e., energy–economy–environment indicators and econometric analysis) that complement each other. According to the latest accessible data (1971–2016), evidence shows that, first, the change in Iran's total primary energy supply can significantly explain the variation of CO2 emissions in Iran, while energy intensity and CO2 intensity cannot significantly explain its variability. Second, CO2 emissions in Iran are increasing rapidly and the country is not moving toward the green economy situations. Third, the increase in energy intensity is mostly related to significant increases in energy consumption rather than increases in economic activity. This evidence shows that Iran's CO2 intensity highly depends on the consumption of fossil fuels. Fourth, the econometric estimates suggest that CO2 emissions, in comparison with other examined variables, change significantly in response to changes in per capita GDP, energy intensity, and carbon intensity. Fifth, the main contributors to industrial CO2 emissions are industrial per capita GDP and energy and carbon intensities, while in the transport sectors, the main contributors are the number of vehicles, transport energy intensity, and carbon intensity. Sixth, further decomposition analysis shows the positive impact of per capita GDP and the negative impacts of energy structure and energy efficiency on total CO2 emissions in Iran. © 2020 Society of Chemical Industry and John Wiley & Sons, Ltd.

show abstract

Section: Resultsmentioning

confidence: 81%

A CO₂ emissions assessment of the green economy in Iran

Solaymani

2020

Greenhouse Gases

View full text Add to dashboard Cite

show abstract

“…Xinjiang is the window of China's opening to the west, as well as an important resource province and strategic energy base in China (Cui et al, 2019). Xinjiang's economic growth is mainly supported by heavy industries, such as the coal, iron and steel, and chemical industries, leading to an increase in industrial waste water, gas and residue emissions.…”

Section: Introductionmentioning

confidence: 99%

Decarbonization, Environmental Regulation, and Economic Boom: An Indicator Assessment Based on the Industrial Waste

Yang

et al. 2022

Front. Energy Res.

View full text Add to dashboard Cite

Energy-based economic development brings about some environmental problems, and as China’s economy shifts from rapid growth to high-quality development, the implementation of environmental regulation is crucial to achieving environmental protection and high-quality economic development. Based on the panel data of 14 prefectures and cities from 2000 to 2018 in Xinjiang, this study explored the impact of environmental regulation on high-quality economic development by constructing a comprehensive evaluation index system and using entropy method and Tobit regression model. The results show that 1) overall, each 1% increase in environmental regulation is associated with a 0.037% rise in high-quality economic development level; 2) regionally, each 1% increase in environmental regulation is associated with a 0.119% rise in high-quality economic development level in northern Xinjiang, but the effect on the southern Xinjiang is not significant; 3) each 1% increase in environmental regulation, the level of high-quality economic development decreased by 0.034% from 2000 to 2010 and increased by 0.061% from 2011 to 2018. In general, this study adds to the theoretical and empirical study on the influence of environmental regulation on high-quality economic development while providing a methodology for other economies to assess the relationship between the two.

show abstract

“…The government enacted measures including social distancing, stay-at-home orders, the closure of non-essential businesses, and regional lockdowns during the epidemic period [3] . The significant reduction in human activities caused the slowing or even stagnation of industrial production, which inevitably led to a reduction in energy consumption [4] , carbon emissions [5] , and industrial pollution [6] . By using environmental monitoring data, the impacts of the COVID-19 epidemic on China's economy [7] , human mobility [8] , income inequality [9] , and secondary health risks [10] can be estimated.…”

Section: Introductionmentioning

confidence: 99%