Towards low carbon development: The role of forest city constructions in China

Liao, Lijuan; Zhao, Chunkai; Li, Xing; Qin, Jiahong

doi:10.1016/j.ecolind.2021.108199

Cited by 39 publications

(18 citation statements)

References 75 publications

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“…Second, similar to prior research ( 69 , 70 ), climate characteristics cover three variables, Temperature, Relative humidity , and Precipitation , as the influence of climatic factors on haze pollution is gradually attracting attention. The definitions of above variables are listed in Table 1 .…”

Section: Methodology and Variablesmentioning

confidence: 71%

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Haze pollution reduction in Chinese cities: Has digital financial development played a role?

Zhao

Yan

2022

Front. Public Health

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Based on the exogenous shock of digital financial development in China in 2013, a difference-in-differences (DID) model is set up in this paper to investigate the causal relationship between digital financial development and haze pollution reduction. The finding of the paper is that a one standard deviation increase in digital finance after 2013 decreases the PM2.5 concentrations by 0.2708 standard deviations. After a number of robustness checks, like placebo tests, instrumental variable (IV) estimations, eliminating disruptive policies, and using alternative specifications, this causal effect is not challenged. In addition, this paper explores three potential mechanisms of digital finance to reduce haze pollution: technological innovation, industrial upgrading, and green development. Moreover, the heterogeneous effects signify that the usage depth of digital finance works best in haze pollution reduction. Digital finance has more positive effects in cities in the north and those with superior Internet infrastructure and higher levels of traditional financial development. However, the quantile regression estimates suggest that for cities with light or very serious haze pollution, the positive impact of digital finance is limited. These findings supplement the research field on the environmental benefits of digital finance, which provides insights for better public policies about digital financial development to achieve haze pollution reduction.

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Section: Methodology and Variablesmentioning

confidence: 71%

“…In other words, before exogenous shocks to digital finance occurred in 2013, the haze pollution status of the cities needed to have the same trend. Drawing on the event study approach ( 66 , 69 , 70 ), we utilize the following model to conduct the parallel trend tests.…”

Section: Methodology and Variablesmentioning

confidence: 99%

Haze pollution reduction in Chinese cities: Has digital financial development played a role?

Zhao

Yan

2022

Front. Public Health

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“…For example, Chengdu has planted nearly 4,500 hectares of trees after becoming a low-carbon city. More importantly, the carbon sequestration effect of planted forests is more significant (Liao et al, 2021). Taking the planted eucalyptus forests that can become lumber within 5-7 years as an example, the solid level is equivalent to 20 to 30 times that of natural coniferous forests.…”

Section: Ecological Optimizationmentioning

confidence: 99%

“…Secondly, we use night light data to more accurately study the causal relationship between LCCP and carbon emissions. Due to the lack of city-level carbon emissions data, or the inaccurate measurement of carbon emissions, the literature can only conduct case studies on specific cities (Yu et al, 2019), or study the air pollution, building operations (Li K et al, 2022;Zhang et al, 2022), international trade (Li M et al, 2021;Liu et al, 2021), clean energy and energy efficiency (Sun et al, 2019;Zhang and Hanaoka, 2021), technological innovation and industrial development (Su et al, 2021;Tang et al, 2021), vegetation (Chen et al, 2021;Liao et al, 2021) and environmental efficiency of LCCP (Song et al, 2020). The Nighttime lighting data can not only provide a more accurate strategy for total city carbon emissions (Zhao et al, 2019;Li and Wang, 2022), but also let us more accurately assess the impact of LCCP on carbon emissions.…”

Section: Introductionmentioning

confidence: 99%

Reassessing the Effect of Low-Carbon City Policy in China: New Evidence From the Nighttime Light Data

2022

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Excessive emissions of carbon dioxide and other greenhouse gases have seriously affected the ecological environment and the normal operation of the social economy, and low-carbon city policy (LCCP) is one of China’s main policies to achieve carbon emission reduction goals. This study focused on the 280 cities in China, and used the difference-in-differences (DID) model and nighttime light data to evaluate the impact and mechanisms of LCCP on carbon emissions from 2003 to 2016. The results show that: 1) The implementation of LCCP can reduce carbon emissions by 16.2%; 2) Mechanism analysis shows that LCCP can achieve carbon reduction through the guidance of government behaviors, improvements of industrial structure and innovation capabilities, reductions of energy consumption, and the optimization of the ecological environment; 3) Heterogeneity analysis shows that the effect of the LCCP in suppressing carbon emissions is more effective in eastern cities with better economic and industrial bases, and large cities with more population. Furthermore, the effect of LCCP shows an inverted U-shaped trend as carbon emissions increase. This study enriches the research on assessing policy effects of China’s low-carbon city construction, and provides some inspiration for the goal of carbon neutrality and other developing countries with high carbon emission.

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“…Although it is difficult to increase the area of urban forests in the central area of the city, the purification capacity of vegetation in urban forests can be improved by more natural management approaches, including reducing tree canopy pruning to increase the total leaf area of urban forests, and increasing the percentage of tree species with stronger NO 2 absorption used for roadside tree planting in urban areas, such as S. japonica [54]. The forest cover should be maintained in urban areas and expanded in suburban areas to contribute to Beijing's capacity to achieve "carbon sequestration", as well as advancing "nitrogen sequestration" [55,56].…”

Section: Suggestions For Urban Forests Managementmentioning

confidence: 99%

Assessment of NO2 Purification by Urban Forests Based on the i-Tree Eco Model: Case Study in Beijing, China

Gong

Xian

Ouyang

2022

Forests

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Air quality issues caused by nitrogen dioxide (NO2) have become increasingly serious in Chinese cities in recent years. As important urban green infrastructure, urban forests can mitigate gaseous nitrogen pollution by absorbing NO2 through leaf gas exchange. This study investigated spatiotemporal variations in the NO2 removal capacity of urban forests in Beijing city from 2014–2019, based on the i-Tree Eco deposition model. The results show that the annual removal capacity of administrative districts within Beijing city ranged from 14,910 to 17,747 tons, and the largest capacity (2,684 tons) was found in the Fangshan district. The annual removal rate of NO2 by urban forests in administrative districts within Beijing was estimated at between 0.50–1.60 g/m2, reaching the highest (1.47 g/m2) in the Mengtougou district. The annual average absorption of NO2 by urban forests can account for 0.14% - 2.60% of annual total atmospheric NO2 and potentially reduce the NO2 concentration by 0.10 - 0.34 µg/m3 on average. The results of a principal component analysis suggest that the distribution of urban forests in Beijing is not optimized to maximize their NO2 removal capacity, being higher in suburban areas and lower in urban areas. This study provides insights into botanical NO2 removal capacity in Beijing city to mitigate atmospheric N pollution, addressing the key role of urban forests in improving human wellbeing.

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Towards low carbon development: The role of forest city constructions in China

Cited by 39 publications

References 75 publications

Haze pollution reduction in Chinese cities: Has digital financial development played a role?

Haze pollution reduction in Chinese cities: Has digital financial development played a role?

Reassessing the Effect of Low-Carbon City Policy in China: New Evidence From the Nighttime Light Data

Assessment of NO2 Purification by Urban Forests Based on the i-Tree Eco Model: Case Study in Beijing, China

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