Population urbanization, trade openness and carbon emissions: an empirical analysis based on China

Qi, Xiaoyuan; Han, Ying; Kou, Po

doi:10.1007/s11869-020-00808-8

Cited by 47 publications

(24 citation statements)

References 42 publications

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“…Based on panel data of China's 269 prefecture-level cities, Yuan et al (2018) infer that the size of a city can affect the density of PM2.5 through paths such as motor use and changes in the green land area; additionally, population density and centrality, commuting distance, and traffic congestion affect haze pollution. Using China's panel data from 2003 to 2016, Qi et al (2020) find that urbanization can indirectly affect carbon emissions through trade opening and that advanced industrial structure can also reduce carbon emissions. Alani et al (2019) infer that haze pollution has the characteristics of cross-regional transmission in Lagos, Nigeria.…”

Section: Literature Reviewmentioning

confidence: 99%

A spatial econometric empirical research on the impact of industrial agglomeration on haze pollution in China

Zhao

Cao

2020

Air Qual Atmos Health

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Based on statistical data on 30 provincial administrative regions in China from 2000 to 2016, this paper conducts an empirical study of the impact of industrial agglomeration on haze pollution using the spatial Dubin model (SDM), spatial lag model (SLM), and spatial error model (SEM). The findings are as follows: (1) Industrial agglomeration can effectively reduce the degree of haze pollution. (2) Haze pollution has an inverted U-shaped relationship with economic development and population agglomeration. (3) The secondary industry has a positive correlation with haze pollution, while the tertiary industry can reduce haze pollution but not in an obvious manner. (4) The level of innovation and urbanization can help to reduce haze pollution, and the level of economic opening up and carbon dioxide emissions can exacerbate haze pollution. (5) Due to the insufficient commercialization of scientific and technological achievements, investment in science and technology is not obviously effective in preventing and controlling haze pollution. The relationship between environmental regulation and haze pollution is still unclear due to regional differences and the varied effectiveness of law enforcement. The study suggests that the government should guide industrial agglomeration in a reasonable manner, improve joint prevention and control across regions, and strengthen environmental regulation to prevent and control haze pollution.

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Section: Literature Reviewmentioning

confidence: 99%

A spatial econometric empirical research on the impact of industrial agglomeration on haze pollution in China

Zhao

Cao

2020

Air Qual Atmos Health

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“…Based on theoretical analysis and assumption, the econometric model was constructed, and the interference of other variables was controlled to empirically verify the influence mechanism of the coupling coordination relationship of the PLEU system on urban carbon emissions. The specific model [55] is as follows:…”

Section: The Econometric Model For Analyzing the Impact Of Pleu On Ca...mentioning

confidence: 99%

Spatio-Temporal Analysis of Population-Land-Economic Urbanization and Its Impact on Urban Carbon Emissions in Shandong Province, China

Liu

Jian

Kang

et al. 2022

Land

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New-type urbanization is a dynamic process composed of numerous elements and multiple subsystems. Coordination and coherence of various subsystems are critical for promoting urban-rural integration and regional synergistic development and will have a complicated impact on sustainable development in the trade-off between socioeconomic growth and environmental conservation. This paper theorized the interconnected and mutually influential coupling coordination relationship between population-land-economic urbanization (PLEU) and the mechanism by which this relationship affects urban carbon emissions. The Wavelet Neural Network (WNN), Coupling Coordination Degree model, and econometric model were used to reveal this relationship and mechanism. A total of 17 cities in Shandong Province, China, were used as study subjects for empirical examination. The results show that the level of PLEU in Shandong was significantly improved from 2007 to 2016, but the gap between cities tended to further expand. The 17 cities gradually got rid of the antagonistic disorder issue of the coupling coordination relationship of PLEU from 2007 to 2016, spatially showing the agglomeration characteristics with Qingdao and Jinan as the core, respectively. The influence of the coupling coordination degree of PLEU on urban carbon emissions presents an inverted, U-shaped characteristic, that is, the total urban carbon emissions will first increase and then decrease as the improvement of the coupling coordination relationship of PLEU. China’s new-type urbanization has provided an efficient solution to sustainable development, namely planning and designing at the highest strategic level to establish scientific goals. This new-type urbanization strategy could provide an effective alternative for other emerging countries worldwide, for addressing the challenges to sustainable development.

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“…As for China, Ang [20] found that greater trade openness tends to cause more CE in China via the corresponding data from 1953 to 2006. According to the research results of Qi et al [21], there is an "inverted U" relationship between trade openness and CE; that is to say, CE may also decrease with the increase of trade level. In general, scholars have not reached a consensus on the relationship between trade openness and CE.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The impact of international trade on CE may differ from region to region. For instance, a different urban population density [21], regional intellectual property protection level [51] and urbanization level [52] can lead to the different effects of trade on CE. The economic development levels of the 282 cities in our study are quite different, so the results obtained by linear regression may not fully reflect the relationship between international trade and CE.…”

Section: Panel Threshold Regression Analysismentioning

confidence: 99%

Exploring the Impact of International Trade on Carbon Emissions: New Evidence from China’s 282 Cities

Wang

2021

Sustainability

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Carbon emissions (CE) reduction has been an important measure to control global warming. With the deepening of internationalization, the import and export trade can have a significant influence on CE. In this study, the panel data of 282 cities in China from 2003 to 2016 were employed, and linear regression analysis with fixed effects, feasible generalized least squares and Driscoll–Kraay estimators were performed to assess the separate impacts of import and export trade on CE. The results show that there is a positive correlation between imports and CE, while the relationship is contrary for exports. The panel threshold regression method was further used for regression, and it found that there was one threshold value for gross domestic product (GDP) and two threshold values for gross industrial output (GIO) in the model. According to the division of threshold value, the impact of import trade on CE will turn from positive to negative, while the impact of export trade on reducing CE will be further enhanced. The structure of China’s import and export trade are used to illustrate the underlying mechanism of the different effects. For controlling CE in international trade, China should import more high-tech products to upgrade high-emission industries, and reduce the proportion of labor-intensive products exported.

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Population urbanization, trade openness and carbon emissions: an empirical analysis based on China

Cited by 47 publications

References 42 publications

A spatial econometric empirical research on the impact of industrial agglomeration on haze pollution in China

A spatial econometric empirical research on the impact of industrial agglomeration on haze pollution in China

Spatio-Temporal Analysis of Population-Land-Economic Urbanization and Its Impact on Urban Carbon Emissions in Shandong Province, China

Exploring the Impact of International Trade on Carbon Emissions: New Evidence from China’s 282 Cities

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