Exploring the Dependence and Influencing Factors of Carbon Emissions from the Perspective of Population Development

Zhao, Kuokuo; Cui, Xuezhu; Zhou, Zhanhang; Huang, Peixuan; Li, Dongliang

doi:10.3390/ijerph182111024

Cited by 11 publications

(5 citation statements)

References 72 publications

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“…In addition, informal environmental management systems play a corresponding role in the threshold mechanism of FDI's impact on industrial carbon emissions based on consumer value choices (Zhao et al 2021;Li et al 2018). The specific action process is shown in Figure 2.…”

Section: Theoretical Modelmentioning

confidence: 99%

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The impact of foreign direct investment on China's industrial carbon emissions based on the Threshold Model

Wang

Liu

Zhu

et al. 2023

Preprint

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In recent years, countries around the world are significantly increasing their awareness of environmental protection. With a continuous expansion of economic scale, many emerging markets are also sustainably enhancing their standards for industrial carbon emissions in foreign direct investment (FDI). Therefore, the impact of FDI on the host country's industrial carbon emissions has always been a hot topic of researches by scholars. This paper selects panel data of 30 medium and large cities in China from 2006 to 2019, combined with dynamic panel GMM estimation and panel threshold model, and empirically analyzes the impact factors of FDI on the host country’s industrial carbon emissions from the perspective of dual environmental management systems. This paper draws the following conclusions: When taking the formal and informal environmental management system factors as threshold variables into the empirical research process, only the FDI in Beijing, Tianjin, and Shanghai shows a certain inhibitory effect on Chinese industrial carbon emissions. The FDI in other cities increases the scale of industrial carbon emissions. At the same time, in the formal environmental management system, FDI has no significant impact on Chinese industrial carbon emissions. It indicates that the formal environmental management system of each city is not effective in policy formulation or implementation, and it is not able to play the role of innovative compensation and forced emission reduction of the environmental management system. With the exception of Beijing and Shanghai, informal environmental management systems in other cities help curb the scale of industrial carbon emissions brought about by FDI.

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Section: Theoretical Modelmentioning

confidence: 99%

“…(d) Technological innovation capability. The level of technological innovation is one of the important factors that determine the intensity of carbon emissions (Ren 2013;Zhao 2021). Related literature used the number of patent applications to measure the level of technological innovation (Dhrifi et al 2020).…”

Section: Theoretical Modelmentioning

confidence: 99%

The impact of foreign direct investment on China's industrial carbon emissions based on the Threshold Model

Wang

Liu

Zhu

et al. 2023

Preprint

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“…Most studies focused on the impact of economic growth, industrial structure, energy structure and other factors on carbon emissions. Population growth is one of the sources of carbon emissions, and decoupling population development from carbon emissions is of great significance in the realization of carbon emissions reduction [ 1 ]. Based on the extended STIRPAT model, the driving factors that affect the HCE in Jiangsu Province are household size, total population, unemployment rate, urbanization rate and aging, among which household size has the greatest effect [ 2 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of Internet Development on Carbon Emissions in Jiangsu, China

Wang

Tong

2022

IJERPH

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Based on STIRPAT and panel threshold models, this study empirically tested the impact of Internet development on carbon emissions using panel data of Jiangsu Province from 2007 to 2020. The results showed that the carbon emissions intensity of the Internet development level had a significant promotion effect, while the carbon emissions intensity of technological progress showed a significant inhibition effect, but this inhibition effect is less than the promotion effect brought about by internet development. Considering the threshold effect, the development of the Internet had a double-threshold effect on carbon emissions in northern and central Jiangsu. Jiangsu Province should further accelerate the pace of Internet development and cross the threshold value as soon as possible. Finally, this study constructed a prediction model of emissions reduction to predict the future emissions reduction potential of Jiangsu Province and found that there was still much room for improvement regarding carbon emissions reduction in Jiangsu Province.

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“…According to a crude development pattern, China achieves economic growth by consuming Land 2022, 11, 1079 2 of 16 large amounts of energy, resulting in a rapid increase in carbon emissions [3], and the most important driving factor exacerbating this situation is rapid urbanization [4]. The urbanization rate of China has increased dramatically over the last four decades, from 17.9% in 1978 to 60.6% in 2019 [5], and the urban population of the country is expected to surpass 75% of the overall population by 2050 [6]. Urbanization is accompanied by industrial economic growth, increasing energy consumption, lifestyle changes, and changes in land use types due to economic and social progress, all of which have a significant influence on carbon emissions [7].…”

Section: Introductionmentioning

confidence: 99%

Multidimensional Impact of Urbanization Process on Regional Net CO2 Emissions: Taking the Yangtze River Economic Belt as an Example

Shen

Hong

Jiang

et al. 2022

Land

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Urbanization is a powerful symbol and an inevitable human economic and social development trend. This process affects carbon dioxide emissions by changing the human output and lifestyle and encroaches over the carbon sink areas by adjusting the land use types impacting the regional carbon balance. We systematically analyzed the influence of urbanization on regional net CO2 emissions (NCE) and built a quantitative model for the impact of urbanization on NCE based on population, economy, and land use. Based on this, the Yangtze River Economic Belt (YREB) in China has been selected as an example to measure the characteristics of the spatial and temporal evolution of NCE from 2005 to 2018 by empirically testing the contributions of population urbanization, economic urbanization, and land urbanization to the NCE changes in YREB. According to the study’s findings, the carbon-neutral pressure index of the YREB increased over the study period, with an increase in NCE from 1706.50 Mt to 3106.05 Mt. The contribution of urbanization in this process increased and subsequently decreased in an inverted U pattern with a drop in the cumulative net emission of 260.32 Mt. The inflection points of the cumulative impact of urbanization on NCE in the midstream and upstream regions occurred in 2011 and 2010, respectively. Due to the high degree of urbanization and economic growth in the downstream area, the urbanization impact demonstrated a constant reduction of NCE over the research period. In terms of sub-dimensions, the population and land urbanization effects were consistently positive, while the economic urbanization affected the NCE and displayed an inverted U pattern during the study period. If the variation in regional carbon sink space is ignored, the impact of urbanization on CO2 emission reduction will be overestimated. We investigated the realization path of differentiated synergistic emission reduction strategies in the great river economic belts based on the empirical study on YREB.

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Exploring the Dependence and Influencing Factors of Carbon Emissions from the Perspective of Population Development

Cited by 11 publications

References 72 publications

The impact of foreign direct investment on China's industrial carbon emissions based on the Threshold Model

The impact of foreign direct investment on China's industrial carbon emissions based on the Threshold Model

Impact of Internet Development on Carbon Emissions in Jiangsu, China

Multidimensional Impact of Urbanization Process on Regional Net CO2 Emissions: Taking the Yangtze River Economic Belt as an Example

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