Effects of technological changes on China's carbon emissions

Chen, Jiandong; Gao, Ming; Mangla, Sachin Kumar; Song, Malin; Wen, Jie

doi:10.1016/j.techfore.2020.119938

Cited by 185 publications

(73 citation statements)

References 56 publications

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“…The implementation and use of green and clean energy are subjected to various aspects like current economic growth of the country, the amount of foreign direct investments in the form of cleaner technologies, and the domestic policy of the nation toward clean energy use considering their internal micro-economic factors (Amri et al, 2019;Chen et al, 2020). Therefore, it is quite evident that the presence of green technology is an important parameter to promote clean energy and tackle climate change.…”

Section: Introductionmentioning

confidence: 99%

Technology policy and environmental quality at crossroads: Designing SDG policies for select Asia Pacific countries

Sinha¹,

Sengupta²,

Saha

2020

Technological Forecasting and Social Change

116

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Since the inception of Sustainable Development Goals (SDGs), the Asia Pacific countries are facing difficulties in attaining the SDG objectives, as maintaining the environmental quality has been a challenge for them. In this study, we have revisited the technology policies of these countries, and in doing so, we have tried to address the problem of environmental degradation, while addressing the issues of sustainable economic growth, clean and affordable energy, and quality education. In this pursuit, we have designed two indices for environmental degradation and technological advancement, and then analyzed the association between them following the Environmental Kuznets Curve (EKC) hypothesis. Following IPAT framework, and by using quantile approach, over a period of 1990-2017, we have found that the turnaround points of EKCs rise with the rise in quantiles, i.e. quantiles with low pollutions are having turnaround points within sample range, whereas quantiles with high pollutions are having turnaround points outside sample range. Using Rolling Window Heterogeneous Panel Causality test, unidirectional causality has been found running from technological advancement to environmental degradation.Following the results obtained from the analysis, we have tried to address the objectives of SDG

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Section: Introductionmentioning

confidence: 99%

Technology policy and environmental quality at crossroads: Designing SDG policies for select Asia Pacific countries

Sinha¹,

Sengupta²,

Saha

2020

Technological Forecasting and Social Change

116

View full text Add to dashboard Cite

show abstract

“…During 2000 to 2012, the carbon emissions increased rapidly, which is similar to the conclusions provided by Meng et al 6 and Su et al 18 . However, from 2010 to 2017, the growth rates of total carbon emissions were relatively www.nature.com/scientificreports/ lower than before, which may have been a result of the strict limitations placed on emissions in policies proposed by the Chinese government 38,39,53 . In total, China's national carbon emissions increased continuously from 1992 to 2017, during which the amount increased from 2239.58 to 9741.65 million tons with an average 6.23% annual growth rate.…”

Section: Analysis Of the City-level Carbon Emissionsmentioning

confidence: 90%

“…cial source of carbon emissions data, we adopted a method provided by the Intergovernmental Panel on Climate Change to estimate carbon emissions from the national energy consumption data; this approach has been used in many studies [36][37][38][39] . The corresponding equation is as follows:…”

Section: Use Of Nighttime Light Data As a Proxy To Estimate Co 2 Emismentioning

confidence: 99%

China’s city-level carbon emissions during 1992–2017 based on the inter-calibration of nighttime light data

Chen

Gao

Cheng

et al. 2021

Sci Rep

Self Cite

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Accurate, long-term, full-coverage carbon dioxide (CO2) data in units of prefecture-level cities are necessary for evaluations of CO2 emission reductions in China, which has become one of the world’s largest carbon-emitting countries. This study develops a novel method to match satellite-based Defense Meteorological Satellite Program’s Operational Landscan System (DMSP/OLS) and Suomi National Polar-orbiting Partnership’s Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) nighttime light data, and estimates the CO2 emissions of 334 prefecture-level cities in China from 1992 to 2017. Results indicated that the eastern and coastal regions had higher carbon emissions, but their carbon intensity decreased more rapidly than other regions. Compared to previous studies, we provide the most extensive and long-term CO2 dataset to date, and these data will be of great value for further socioeconomic research. Specifically, this dataset provides a foundational data source for China’s future CO2 research and emission reduction strategies. Additionally, the methodology can be applied to other regions around the world.

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“…As one of the largest carbon emitters globally, China has pledged to reach the peak of its carbon emissions by 2030 1 – 3 , and significant effort has been put into developing a sustainable economy 4 – 6 . An increasing number of studies have focused on topics such as CO 2 emissions accounts 7 – 9 , driving forces of CO 2 emissions 10 , 11 , forecasting future emissions, and more 12 , 13 . However, most of this research has been conducted at the national, provincial 14 – 16 , or city level 17 , 18 .…”

Section: Background and Summarymentioning

confidence: 99%

County-level CO2 emissions and sequestration in China during 1997–2017

et al. 2020

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With the implementation of China’s top-down CO2 emissions reduction strategy, the regional differences should be considered. As the most basic governmental unit in China, counties could better capture the regional heterogeneity than provinces and prefecture-level city, and county-level CO2 emissions could be used for the development of strategic policies tailored to local conditions. However, most of the previous accounts of CO2 emissions in China have only focused on the national, provincial, or city levels, owing to limited methods and smaller-scale data. In this study, a particle swarm optimization-back propagation (PSO-BP) algorithm was employed to unify the scale of DMSP/OLS and NPP/VIIRS satellite imagery and estimate the CO2 emissions in 2,735 Chinese counties during 1997–2017. Moreover, as vegetation has a significant ability to sequester and reduce CO2 emissions, we calculated the county-level carbon sequestration value of terrestrial vegetation. The results presented here can contribute to existing data gaps and enable the development of strategies to reduce CO2 emissions in China.

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Effects of technological changes on China's carbon emissions

Cited by 185 publications

References 56 publications

Technology policy and environmental quality at crossroads: Designing SDG policies for select Asia Pacific countries

Technology policy and environmental quality at crossroads: Designing SDG policies for select Asia Pacific countries

China’s city-level carbon emissions during 1992–2017 based on the inter-calibration of nighttime light data

County-level CO2 emissions and sequestration in China during 1997–2017

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