The impact of population factors and low-carbon innovation on carbon dioxide emissions: a Chinese city perspective

Li, Zhangwen; Yu, Ziyou; Cai-jiang, Zhang

doi:10.1007/s11356-022-20671-7

Cited by 14 publications

(4 citation statements)

References 79 publications

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“…With the increase of world population, carbon dioxide emissions will also increase. Li et al employed the pooled mean group estimator under the framework of the panel autoregressive distributed lag model, it was found that population size and population density could increase CO 2 emissions (Li et al, 2022). At the same time, a series of activities due to people's consumption will also produce a large amount of carbon dioxide emissions (Munksgaard and Pedersen, 2001).…”

Section: Modelsmentioning

confidence: 99%

Network Evolution and Influencing Factors of Global Trade Embodied Carbon Emission

Cao

Guo

et al. 2022

Front. Environ. Sci.

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As a global issue, climate warming has received extensive attention in recent years. Scientific identification of the network evolution, transfer path, and influencing factors of embodied carbon in trade is of great significance for the global joint response to climate change challenges. In this paper, based on the latest World Input-Output Database and carbon emissions data of 42 countries (the total carbon emissions of 42 countries account for about 80% of the world’s total carbon emissions), we use social network analysis to describe the global trade embodied carbon emission from 2000 to 2014, and explore the relevant factors that influence global embodied carbon emissions. From the overall network, a small number of countries produce more carbon emissions, of which China is gradually in the center of the global carbon emissions network, while the United States and the European Union are always in the center. The point entry degree of developed economies is larger, while the point out degree of developing countries is higher, indicating that part of carbon emissions from developed countries are transferred to developing countries through economic links. Through QAP analysis, it is found that factors such as population, energy structure, geographic distance, final consumption and trade agreements are the main factors of the evolution of the embodied carbon network, and these factors can explain 42.3% of the pattern of the implied carbon network in trade. Moreover, the decrease of the degree of proximity indicates that the path of carbon emission correlation between countries is shortening and it is necessary for the world to join hands to respond to climate change.

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Section: Modelsmentioning

confidence: 99%

Network Evolution and Influencing Factors of Global Trade Embodied Carbon Emission

Cao

Guo

et al. 2022

Front. Environ. Sci.

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“…Wang and Li (2019) pointed out that investment in education and knowledge diffusion promotes technological development, increases labor productivity, and reduces CO 2 emissions. Li et al (2022) also noted that population quality plays a significant role in reducing CO 2 emissions. Another example is Wang et al (2022) indicated that consumers' education level has a significant impact on new energy vehicle purchase intentions.…”

Section: Introductionmentioning

confidence: 99%

“…And due to the interdependence between population and transportation, population-related factors have become an important factor affecting CO 2 emissions in transportation sector (Zarco-Soto et al 2021 ; Meng and Han 2018 ; Wang and Liu 2015 ; Yang et al 2015 ; Liu et al 2011 ; Lu et al 2007 ). Previous studies have paid particular attention to population size (Li et al 2022 ; Sun et al 2021 ; Wang et al 2020b ; Salman et al 2019 ). However, with the overall progress of China’s social and economic development, political system, scientific and technological progress, social value system, and other factors, the Chinese population has more complex characteristics, such as the continuous increase of urbanization rate, the imbalance in age structure, the overall improvement of people’s quality, and the remarkable improvement of population living standards.…”

Section: Introductionmentioning

confidence: 99%

“…Wu et al ( 2021 ) used the extended STIRPAT model to decompose CO 2 emissions from six influencing factors. Similarly, Li et al ( 2022 ) used the extended STIRPAT model to construct the relationship between population factors and carbon emissions. Due to the limitations of the model itself, it is difficult to include demographic factors other than population size in the LMDI and SDA models.…”

Section: Introductionmentioning

confidence: 99%

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The impact of population characteristics on transportation CO2 emissions—does population aging important?

Cao

Liu

2023

Environ Sci Pollut Res

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Reducing transportation CO 2 emissions and addressing population characteristic changes are two major challenges facing China, involving various requirements for sustainable economic development. Due to the interdependence of population characteristics and transportation, human activities have become a significant cause of the increase in greenhouse gas levels. Previous studies mainly focused on evaluating the relationship between one-dimensional or multi-dimensional demographic factors and CO 2 emissions, while few studies have reported on the effect of multi-dimensional demographic factors on CO 2 emissions in transportation. Analyzing the relationship between transportation CO 2 emissions is the foundation and key to understanding and reducing overall CO 2 emissions. Therefore, this paper used the STIRPAT model and panel data from 2000 to 2019 to investigate the effect of population characteristics on CO 2 emissions of China’s transportation sector, and further analyzed the effect mechanism and emission effect of population aging on transportation CO 2 emissions. The results show that (1) population aging and population quality restrained CO 2 emissions from transportation, but the negative effects of population aging were indirectly caused by economic growth and transportation demand. And with the aggravation of population aging, the influence on transport CO 2 emissions changed and presented a U-shape. (2) Population living standard on transportation CO 2 emissions exhibited an urban–rural difference, and urban living standard was predominant in transportation CO 2 emissions. Additionally, population growth is under a weakly positive effect on transportation CO 2 emissions. (3) At the regional level, the effect of population aging on transportation CO 2 emissions showed regional differences. In the eastern region, the CO 2 emission coefficient of transportation was 0.0378, but not significant. In central and western regions, the influence coefficient of transportation was 0.6539 and 0.2760, respectively. These findings indicated that policy makers should make relevant recommendations from the perspective of coordinating population policy and energy conservation and emission reduction policy in transportation.

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Unveiling the complexities of sustainable development: An investigation of economic growth, globalization and human development on carbon emissions in 64 countries

Patel,

Kautish,

Shahbaz

2023

Sustainable Development

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To achieve Sustainable Development Goals, countries face the challenge of expanding economic activities while mitigating pollution. Using the panel autoregressive distributed lag and panel non‐linear autoregressive distributed lag approach, this study investigates the effects of globalization, economic development, human development, industrialization, non‐renewable energy, and population density on the carbon emissions (CO2) of 64 countries. This study validates the Environmental Kuznets Curve hypothesis in upper‐ and lower‐middle‐income countries. However, low‐income countries exhibit a U‐shaped relationship, while high‐income countries have successfully mitigated CO2 emissions to some extent. The analysis shows bidirectional causality between CO2 emissions and other variables, except for one‐way causality from globalization to CO2 emissions. Manufacturing in upper‐ and lower‐middle‐income countries depends on conventional energy sources, indicating the need for policies to promote renewable energy sources. The findings have significant policy implications for enhancing environmental sustainability and achieving sustainable economic growth while mitigating CO2 emissions to achieve the SDGs.

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The impact of population factors and low-carbon innovation on carbon dioxide emissions: a Chinese city perspective

Cited by 14 publications

References 79 publications

Network Evolution and Influencing Factors of Global Trade Embodied Carbon Emission

Network Evolution and Influencing Factors of Global Trade Embodied Carbon Emission

The impact of population characteristics on transportation CO2 emissions—does population aging important?

Unveiling the complexities of sustainable development: An investigation of economic growth, globalization and human development on carbon emissions in 64 countries

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