The effects of nurturing pressure and unemployment on carbon emissions: cross-country evidence

Liu, Yuqi; Feng, Chao

doi:10.1007/s11356-022-19515-1

Cited by 20 publications

(11 citation statements)

References 77 publications

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“…In order to have a deeper understanding of the relationship between CO 2 emissions and their driving factors, this paper strictly follows the IPAT framework. By reviewing the existing literature, population ( P ), economic development level ( A ) and its quadratic term, energy intensity ( EI ), urbanization rate ( UR ), and fossil energy share ( FS ) are added as independent variables in the STIRPAT model [ 8 , 9 , 10 , 11 , 12 , 13 , 25 ]. Through the variance inflation factor ( VIF ) test, as shown in Table S1 , it is considered that the multicollinearity of the above variables cannot be ignored.…”

Section: Resultsmentioning

confidence: 99%

“…Since climate change caused by the greenhouse effect has attracted widespread attention, the discussion of greenhouse gas emissions-related topics, mainly CO 2 emissions, has become the focus of academic research. For CO 2 emissions, the current research mainly focuses on the discussion of its influencing factors [ 8 , 9 , 10 , 11 , 12 , 13 ]. On this basis, different types of research such as efficiency analysis and decoupling analysis are derived [ 14 , 15 , 16 , 17 , 18 ].…”

Section: Literature Reviewmentioning

confidence: 99%

“…For the research on the influencing factors of CO 2 emissions, the main methods include structural decomposition analysis (SDA), index decomposition analysis (IDA), production decomposition analysis (PDA), and econometric research methods [ 9 ]. Taking the decomposition analysis method as an example, Wu et al (2020) used the improved spatio-temporal structure decomposition analysis (ST-SDA), integrated the temporal and spatial dimensions, and explored the influencing factors of CO 2 emissions with the data of Chinese provinces [ 12 ].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Instead, they are based on the STIRPAT model with a random error term added. Based on this, econometric models can often consider more influencing factors, so they are widely used [ 9 ]. When using the STIRPAT model, various studies choose the total population, per capita GDP, and energy intensity as the main independent variables based on the IPAT theory.…”

Section: Literature Reviewmentioning

confidence: 99%

“…For the input–output-based research, Hasan et al (2020) used the LMDI method to decompose the CO 2 emissions of the electricity sector in Bangladesh, and simulated the future CO 2 emissions based on three scenarios [ 22 ]. As mentioned earlier in this section, the prediction method based on input–output is often likely to ignore the interference of random factors, so it has certain limitations in practical applications [ 9 , 26 ].…”

Section: Literature Reviewmentioning

confidence: 99%

See 4 more Smart Citations

Peaking Global and G20 Countries’ CO2 Emissions under the Shared Socio-Economic Pathways

Yuan

Feng

Guo

2022

IJERPH

Self Cite

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Mitigating climate change requires long-term global efforts. The aim of this study is to simulate the possible paths of CO2 emissions in G20 countries and the world from 2020 to 2050, by using the STIRPAT model and SSP scenarios with different constraints (SSP baseline, SSP-3.4). The results show that: (1) the world’s CO2 emissions cannot peak in the SSP baseline scenarios, but can peak in the SSP-3.4 scenarios through four paths other than the high fossil energy consumption path; (2) for G20 countries, in the SSP baseline scenarios, 13 countries such as China, the United States, and the United Kingdom can achieve the peak, while six countries such as Argentina, India, and Saudi Arabia cannot. In the SSP-3.4 scenarios, Saudi Arabia cannot achieve the peak, while other countries can achieve the peak, and most of them are likely to achieve significant CO2 emission reductions by 2050; (3) climate goals have a crowding-out effect on other sustainable development goals, with less impact on developed countries and a greater impact on developing countries; and (4) the optimization of the energy structure and a low energy intensity can greatly advance the peak time of CO2 emissions.

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Section: Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 3 more Smart Citations

Peaking Global and G20 Countries’ CO2 Emissions under the Shared Socio-Economic Pathways

Yuan

Feng

Guo

2022

IJERPH

Self Cite

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Analyzing three Zeros (zero poverty, unemployment, and carbon emissions) in Asia and the Pacific region: Assessment of sustainable development goals through the STIRPAT model

Khan

2024

Sustainable Development

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Poverty, unemployment, and environmental degradation are growing issues and significant challenges to sustainable development. They are visible obstacles to achieving the United Nations Sustainable Development Goals (SDGs). The three ZEROS (zero net carbon emissions, zero poverty, and zero unemployment) within the SDGs have not yet been thoroughly explored and need to be empirically examined. This is the primary aim of this study, which focuses on 10 developing countries in Asia & the Pacific. The study utilized panel data from 1997 to 2021 and a stochastic impact by regression on population, affluence, and technology (STIRPAT) model and implemented the second‐generation panel unit root test, cross‐sectional augmented autoregressive distributed lags (CS‐ARDL), panel fully modified ordinary least squares (FMOLS) approaches, and panel Granger‐causality test. The empirical results of the CS‐ARDL approach vindicate that poverty contributes to the environmental deterioration proxied by CO2 emissions, while the unemployment rate inhibits the environmental damage. The other regressors, namely national income by real gross domestic product per capita, energy use, and population are harming the environment, while technological innovation and digitalization reduce environmental degradation. These results are re‐corroborated by implementing the FMOLS estimator. The Granger causality results reveal a bidirectional causality between poverty and environmental degradation. Therefore, it is essential for management authorities to implement pragmatic public policies that focus on sustainable development strategies, such as investing in education and stimulating sustainable economic growth. This will help to reduce unemployment, improve living standards, decrease poverty, and ultimately achieve the Three Zeros Club initiative and sustainable development goals.

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An empirical investigation of the link between economic growth, unemployment, and ecological footprint in Turkey: Bridging the EKC and EPC hypotheses

Daştan,

Eygü

2023

Environ Dev Sustain

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The effects of nurturing pressure and unemployment on carbon emissions: cross-country evidence

Cited by 20 publications

References 77 publications

Peaking Global and G20 Countries’ CO2 Emissions under the Shared Socio-Economic Pathways

Peaking Global and G20 Countries’ CO2 Emissions under the Shared Socio-Economic Pathways

Analyzing three Zeros (zero poverty, unemployment, and carbon emissions) in Asia and the Pacific region: Assessment of sustainable development goals through the STIRPAT model

An empirical investigation of the link between economic growth, unemployment, and ecological footprint in Turkey: Bridging the EKC and EPC hypotheses

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